CN120288595B - A method and system for ensuring network bridging communication for a single elevator and a single building. - Google Patents

Abstract

The application provides a single-elevator single-network bridging communication guarantee method and a system, which relate to the technical field of elevator Internet of things and comprise the steps of evaluating well network conditions based on well network strength and well environment to obtain an evaluation result, wherein the well network strength is obtained by testing 4G/5G signals in a well, and the well environment is obtained by analyzing the internal structure of the well; and carrying out demand judgment based on the evaluation result to obtain a comprehensive score, wherein the demand judgment is based on the evaluation result and a preset standard for analysis and comparison, and selecting a corresponding deployment scheme based on the comprehensive score.

Description

Single-ladder single-span network bridging communication guarantee method and system

Technical Field

The application belongs to the technical field of elevator Internet of things, and particularly relates to a single-ladder single-span network bridging communication guarantee method.

Background

With the rapid development of internet of things (IoT) technology, elevator systems are gradually incorporated into intelligent building management systems, becoming an important component for improving building automation level and user experience. In a single building, in order to ensure stable operation of an elevator internet of things system, the reliability of network communication is important. Existing elevator internet of things solutions typically rely on traditional wired networks or simple wireless deployments. However, these methods have limitations such as complex wiring of the wired network and high cost, and are inconvenient especially when retrofitted in old buildings, and on the other hand, conventional wireless deployment often ignores the complex physical environment characteristics (such as metal wall reflection and shielding effect) inside the hoistway and the possible radio interference sources, which cause the problems of unstable signals, incomplete coverage, and the like. Furthermore, the prior art fails to adequately consider flexible signaling policies under different network bridging conditions, making it difficult to provide reliable communication guarantees in the case of poor network environments.

Disclosure of Invention

The application provides a single-ladder single-span network bridging communication guarantee method and a system, which are used for solving the problems of unstable signals and insufficient coverage caused by neglecting complex environments and radio interference in a hoistway in the aspects of network deployment and communication stability of an elevator Internet of things system in the prior art.

The technical scheme adopted by the application is as follows:

the embodiment of the application provides a single-ladder single-span network bridging communication guarantee method, which comprises the following steps:

evaluating a hoistway network condition based on hoistway network strength and a hoistway environment to obtain an evaluation result, wherein the hoistway network strength is obtained by testing 4G/5G signals in a hoistway, and the hoistway environment is obtained by analyzing an internal structure of the hoistway;

Performing demand judgment based on the evaluation result to obtain a comprehensive score, wherein the demand judgment is based on the evaluation result and a preset standard for analysis and comparison;

and selecting a corresponding deployment scheme based on the comprehensive score.

According to an embodiment of the present application, the evaluation of the hoistway network condition based on the hoistway network strength and the hoistway environment is specifically:

placing the analyzer at different floors and positions for multipoint testing;

Measuring network condition parameters in a hoistway, including 4G/5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-and-noise ratio, bit error rate, throughput, delay and jitter parameters;

and measuring environmental analysis parameters, including analyzing the internal structure of the well, marking factors influencing signal propagation, and identifying and recording all potential radio interference sources existing inside and outside the well.

According to an embodiment of the present application, the requirement determination is performed based on the evaluation result to obtain a composite score, where the requirement determination is performed based on the evaluation result and a preset standard, specifically:

and giving different weights according to the importance of each parameter, comparing and analyzing the evaluation results with preset standards one by one, identifying specific parameters which do not accord with the standards, recording the deviation degree of the specific parameters, and calculating the comprehensive score.

According to one embodiment of the present application, the importance of each parameter is given to different weights, specifically:

determining a weight ratio between the network condition parameter and the environmental analysis parameter;

Determining weights of a first set of sub-parameters included in the network condition parameter and weights of a second set of sub-parameters included in the environmental analysis parameter;

Based on the weight ratio, the weight of the first sub-parameter set, and the weight of the second sub-parameter set.

According to an embodiment of the present application, the selecting a corresponding deployment scenario based on the composite score specifically includes:

Calculating the comprehensive score through weighted average, wherein the specific formula is as follows:

Composite score = Σ (parameter score x weight);

the comprehensive score is not lower than a preset score, and a direct deployment scheme is selected;

And the comprehensive score is lower than the preset score, and an indirect bridging scheme is selected.

A single ladder single network bridging communication support system comprising:

The evaluation module is used for evaluating the well network condition based on well network strength and well environment to obtain an evaluation result, wherein the well network strength is obtained by testing 4G/5G signals in a well, and the well environment is obtained by analyzing the internal structure of the well;

the judging module is used for carrying out demand judgment based on the evaluation result to obtain a comprehensive score, and the demand judgment is based on the evaluation result and a preset standard for analysis and comparison;

and the selection module is used for selecting a corresponding deployment scheme based on the comprehensive score.

According to one embodiment of the application, the evaluation module is specifically:

placing the analyzer at different floors and positions for multipoint testing;

For measuring 4G/5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-and-noise ratio, bit error rate, throughput, delay and jitter parameters within the hoistway;

And analyzing the internal structure of the well, marking factors influencing signal propagation, and identifying and recording all potential radio interference sources existing inside and outside the well.

An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements steps in the method when executing the computer program.

A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps in the method.

A computer program product comprising instructions which, when run on a device, cause the device to perform steps in implementing the method.

By adopting the technical scheme, the application has the following beneficial effects:

According to the method, the problems of network deployment limitation and unstable communication existing in the existing elevator Internet of things solution are solved, and the precise deployment strategy for the complex hoistway environment is realized. The method comprises the steps of firstly carrying out multipoint tests on different floors and positions by utilizing a professional wireless signal analyzer, comprehensively measuring key parameters such as 4G/5G signal intensity, signal-to-noise ratio (SNR), signal-to-interference-and-noise ratio, bit error rate, throughput, delay, jitter and the like in a well, marking factors influencing signal propagation by combining with detailed analysis on the internal structure of the well, identifying and recording all potential radio interference sources, and ensuring the comprehensiveness and accuracy of an evaluation result. And then, giving different weights according to the importance of each parameter, comparing and analyzing the actual test result with a preset standard, identifying specific parameters which do not meet the standard and the deviation degree thereof, and calculating to obtain the comprehensive score. The scoring system not only covers technical performance evaluation, but also fully considers the influence of the internal structure and the environmental characteristics of the well, and provides a solid basis for subsequent requirement judgment. Based on the comprehensive score, an explicit decision rule is formulated, when the score reaches or exceeds a set threshold, a direct deployment scheme is selected, namely, a 4G router is installed on the top of a car, POE power supply is used for simplifying wiring, and when the score is lower than the threshold, an indirect bridging scheme is adopted, and the 4G router and high-performance CPE network bridge equipment in a machine room are utilized for realizing effective signal transmission from the machine room to the bottom of a well, and meanwhile, the installation position of an antenna is optimized to reduce reflection and shielding effects. In addition, a spectrum analysis avoidance interference source is introduced, a self-adaptive algorithm is developed to dynamically adjust communication parameters, a remote monitoring platform is deployed to monitor network states in real time, a fault scene test system response simulating capability is designed, an integrated edge computing capability improves user experience, the measures together ensure efficient and stable operation of an elevator Internet of things system, building automation level and service quality are remarkably improved, and meanwhile, a foundation is laid for future technology upgrading.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:

Fig. 1 is a schematic flow chart of a single ladder and single network bridging communication guarantee method according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Reference numerals:

810. processor 820, communication interface 830, memory 840, communication bus.

Detailed Description

In order to more clearly illustrate the general inventive concept, a detailed description is given below by way of example with reference to the accompanying drawings.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways than those described herein, and therefore the scope of the present application is not limited to the specific embodiments disclosed below. It should be noted that, without conflict, embodiments of the present application and features in each embodiment may be combined with each other.

In the present application, unless expressly stated or limited otherwise, a first feature "up" or "down" a second feature may be the first and second features in direct contact, or the first and second features in indirect contact via an intervening medium. In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

As shown in fig. 1, a single ladder and single network bridging communication guarantee method includes:

The well network condition is evaluated based on the well network strength, which is obtained by testing 4G/5G signals within the well, and the well environment, which is obtained by analyzing the internal structure of the well, to obtain an evaluation result.

Specifically, the hoistway network strength refers to the quality and coverage of 4G/5G signals in the hoistway, reflects the actual performance of wireless communication in the hoistway, and is one of the key factors for determining whether a 4G router can be directly deployed.

A specialized wireless signal detection tool (e.g., wireless signal analyzer, spectrum analyzer) is used to perform detailed testing of the 4G/5G signal within the hoistway.

Signal Strength (RSSI), which is a measure of the received wireless signal power level, is typically in decibel milliwatts (dBm). Signal-to-noise ratio (SNR), the ratio of signal power to background noise power, affects signal sharpness. Signal-to-interference-plus-noise ratio (SINR) is a measure of the influence of the interferer to more fully reflect signal quality. Bit Error Rate (BER), the proportion of erroneous bits in the data transmitted per unit time, directly affects the accuracy of the data transmission. Throughput (Throughput), the amount of data successfully transmitted per unit time, reflects network performance. Delay (Latency) is the time interval from the sending of data from the sending end to the receiving end receiving the data, affecting the real-time application experience. Jitter (Jitter), the degree of variation in delay, affects the stability of audio and video streams.

Well network strength based assessment

The test equipment is prepared and a proper wireless signal analyzer, such as QualiPoc, metagear, is selected. The spectrum analyzer is used for detecting an interference source and a frequency range thereof.

Multi-point testing and data analysis

The key positions are the top (top), the bottom, the middle floor and the machine room of the elevator car. Representative test points-ensure coverage of all possible application scenarios (e.g., different heights, different device concentration areas).

Specific parameter measurement RSSI (received signal strength indication) RSSI values are recorded using a wireless signal analyzer every 5 seconds. A threshold (e.g., -70 dBm) is set, and when the RSSI is below the threshold, the system considers that a weak signal region has been entered. SNR (signal to noise ratio) SNR values are recorded every 5 seconds. Set gridlines (e.g.,. Gtoreq.20 dB). SINR (signal to interference plus noise ratio): SINR values are recorded every 5 seconds. Set gridlines (e.g.,. Gtoreq.15 dB). BER (bit error rate) BER is calculated by uploading and downloading a large file. The ideal BER should be as low as possible (typically < 10-6). Throughput-the downstream rate is measured by uploading and downloading large files.

Setting basic requirements (e.g.,. Gtoreq.10 Mbps).

Latency is a delay measured using the Ping command. The desired range (e.g.,≤100 ms) is set. Jitter is measured by Ping command. The desired range (e.g.,. Ltoreq.30 ms) is set.

And (3) data processing and analysis, namely generating a thermodynamic diagram of signal intensity distribution in the well according to the RSSI value. And (5) analyzing time sequence, namely analyzing the signal change trend of different time periods in one day. Data processing software data analysis was performed using MATLAB or Python.

Well environment based assessment

Three-dimensional modeling and labeling, and tool selection, namely using AutoCAD or Revit to perform three-dimensional modeling. Labeling the fixing devices, namely labeling the positions of all fixing devices such as mechanical equipment, pipelines and the like in the model. And marking the material properties, namely marking the material and the thickness of the well wall.

And (3) material analysis and on-site sampling, namely, on-site sampling the well wall to determine the metal composition and thickness of the well wall. And (4) document reference, namely, referring to a building document and acquiring specific material information of the hoistway wall.

And identifying an electromagnetic interference source, wherein a spectrum analyzer is used for periodically scanning the working frequency bands inside and outside the well. The disturbance source records the frequency and intensity of each disturbance source and marks its position in the three-dimensional model.

Reflection path prediction and masking degree evaluation

Electromagnetic simulation software application, software selection, simulation using CST Microwave Studio or HFSS. Inputting a model: three-dimensional guiding into well model and its material property. Setting up simulation, namely setting different transmitting power and antenna positions and simulating signal propagation paths.

Predicting and evaluating, namely predicting the reflection path and the shielding degree of the signal based on the simulation result. And (5) blind area identification, namely marking a signal coverage blind area and a high interference area. And the adjustment proposal is to propose optimization proposals such as antenna layout, transmission power adjustment and the like.

Signal transmission path design and optimization

Path planning, path selection criteria, prioritizing high signal strength areas and low interference paths. Path optimization, namely, the Dijkstra algorithm or the A-algorithm is utilized to find the optimal transmission path.

Adaptive algorithm implementation

Data collection and sensor deployment, namely installing a wireless signal analyzer and an environment sensor at a key position. And extracting features, namely carrying out real-time data such as RSSI, SNR, SINR, BER, temperature, humidity and the like.

Machine learning model training, model selection, select GBDT (gradient lifting decision tree) as the initial model. Data partitioning the data set into 70% training set, 15% validation set and 15% test set. Super parameter tuning, optimizing model parameters by using grid search or random search. Cross-validation, namely evaluating the performance of the model by adopting K-fold cross-validation.

Online learning mechanism, online updating, namely using an online learning framework (such as APACHE FLINK) to enable the model to continuously update own parameters according to new data. And (3) adjusting the strategy in real time, namely automatically adjusting the transmitting power or switching the working frequency band when the system detects the signal weak area.

Real-time adjustment strategy

Power control algorithm-start condition-when a signal weak region (RSSI below-70 dBm) is detected, the power control algorithm is started. Maximum allowed power assessment-first assess the maximum allowed transmit power in the current environment, ensuring that other devices are not interfered with or violated regulatory limits. Stepwise adjustment, starting from the current transmit power, the transmit power is stepwise increased in small steps (e.g., 0.5 dB) while continuously monitoring the RSSI and SINR changes. If the signal quality is found to be improved obviously, the signal quality is increased continuously, otherwise, the increase is stopped and the power setting of the last step is backed off.

And the frequency switching protocol is frequency spectrum scanning, namely a frequency spectrum analyzer is used for scanning working frequency bands inside and outside a hoistway at regular intervals, and the currently used frequency and the occupation situation of the currently used frequency are identified. And interference detection, namely detecting whether an abnormally high noise level or frequently occurring error code phenomenon exists or not by analyzing the received signal, and taking the detected noise level or frequently occurring error code phenomenon as a basis for judging the interference degree. And the candidate frequency band list is that a list containing a plurality of candidate frequency bands is pre-established, so that enough choice is ensured when switching is needed. And (3) fast switching protocol, namely designing a set of efficient frequency switching protocol, completing the conversion from the old frequency band to the new frequency band in the shortest time, and reducing the service interruption time as much as possible.

Performance monitoring and feedback

And the remote monitoring platform is deployed, and the network state of each node is monitored in real time, wherein the indexes comprise connection stability, delay, packet loss rate and the like. And an automatic alarm mechanism, which is used for immediately sending out an alarm to inform maintenance personnel to take action once an abnormal condition (such as sudden signal worsening, long-time failure to recover to be normal and the like) is found.

And collecting user feedback, namely collecting the user feedback through a questionnaire or direct communication mode for subsequent system optimization. Historical data analysis, namely utilizing a big data analysis tool to review the performance of the same frequency band in the past period, searching a regular interference mode and preparing for prevention in advance.

Furthermore, electromagnetic simulation software can be used for simulating signal propagation effects under different deployment schemes, so that the installation position and angle of the antenna are optimized, and the influence of reflection and shielding effects is reduced; in addition, a plurality of temporary test nodes can be arranged, including a small 4G/5G router and CPE network bridge equipment which are installed at representative positions in the well are selected, a wireless link is established, the actual communication quality of a direct deployment and indirect bridging scheme is verified, the optimal signal coverage is predicted by combining a wireless network planning software with a building drawing and field measurement data, a design scheme is adjusted, finally, a remote monitoring platform is deployed for a long time, the network state is monitored in real time, abnormal conditions are automatically alarmed, user feedback is collected while the stable operation of the system is ensured, the service quality and the user experience are continuously improved, and solid guarantee is provided for the high efficiency and stability of the elevator Internet of things system.

And carrying out demand judgment based on the evaluation result to obtain a comprehensive score, wherein the demand judgment is based on the evaluation result and a preset standard for analysis and comparison.

Specifically, demand judgment and comprehensive score calculation based on evaluation results

Setting a preset standard

The standard setting of the network condition parameter is that the RSSI (received signal strength indicator) is more than or equal to-70 dBm. SNR (signal to noise ratio) is more than or equal to 20 dB. SINR (signal to interference plus noise ratio) is more than or equal to 15 dB. BER (bit error rate) is < 10-6. Throughput, the downlink rate is equal to or greater than 10 Mbps. Latency is less than or equal to 100 ms. Jitter is not more than 30 ms.

And (3) setting the standard of environmental analysis parameters, namely, metal wall reflection and shielding effect and weak reflection/shielding effect as ideal conditions. Physical obstacle-almost no obstacle is an ideal state. Space limitations-almost no limitations to ideal conditions. Electromagnetic interference source, almost no interference source is ideal. The ideal conditions are the optimal environmental factors such as temperature, humidity and the like.

Data arrangement and preliminary screening

And (3) data recording, namely recording the positions of all the test points and corresponding parameter values in a table. And (3) performing thermodynamic diagram drawing, namely generating a thermodynamic diagram of signal intensity distribution in a well by using MATLAB or Python, and intuitively displaying signal change conditions at different positions and at different time periods. And (3) a time sequence diagram, namely drawing parameter wave diagrams at different moments in a day, and helping to identify a periodic interference source.

Comparative analysis

Comparison of parameters one by one

The specific steps include loading the evaluation results, namely extracting the evaluation results of all the test points from the database. And (3) comparing item by item, namely comparing and analyzing the actual test results with preset standards one by one. If the RSSI value of a test site is-72 dBm, the parameter is scored as 60 points (between scoring areas below-70 dBm but above-80 dBm according to a predetermined criteria). If the SNR is 22 dB, the score is 80 points (score interval of 20 dB to 25 dB according to the preset criteria). Parameters which do not meet the standard are identified, namely, for specific parameters which do not meet the standard, the difference is recorded in detail, for example, the RSSI of a certain test point is lower than-70 dBm, the RSSI is identified as 'insufficient', and a specific deviation value is recorded.

Environmental factor consideration

The method comprises the specific steps of evaluating the influence of metal wall reflection and shielding effect on signal propagation by four walls of a well, and if obvious multipath effect or shielding phenomenon exists, the score is lower (for example, 40 minutes). Physical obstructions-identifying mechanical equipment and other fixtures within the hoistway, marking their locations, and considering how to avoid these obstructions, if there are multiple severe obstructions, the score is low (e.g., 40 points). Space limitations-the effect of limited space within the hoistway on equipment installation and wiring is assessed, and if space is extremely limited, the score is low (e.g., 40 points). Electromagnetic interference sources, namely detecting electromagnetic interference generated by electrical equipment or other wireless equipment inside and outside a hoistway, wherein if a strong interference source exists, the score is lower (for example, 40 minutes). Environmental factors such as temperature and humidity, and the like, and the influence of extreme temperature and humidity conditions on the performance of the wireless device is evaluated, and if the conditions are bad, the score is lower (for example, 40 points).

Comprehensive scoring system

Weight distribution, namely, the total weight of network condition parameters is 60 percent

RSSI: 25%、SNR: 18%、SINR: 12%、BER: 5%、Throughput: 4%、Latency: 3%、Jitter: 3%

Total weight of environmental analysis parameters 40%

15% Of metal wall reflection and shielding effect, 10% of physical barrier, 7% of space limitation, 5% of electromagnetic interference source, 3% of environmental factors such as temperature and humidity

Calculation formula composite score = Σ (parameter score x weight)

For example, assume that the individual parameter scores for a test point are:

Network condition parameter scores of RSSI 60 (weight 25%), SNR 80 (weight 18%), SINR 70 (weight 12%), BER 90 (weight 5%), throughput 85 (weight 4%), latency 95 (weight 3%), jitter 85 (weight 3%)

The environmental analysis parameters comprise 80 parts (weight 15%), 90 parts (weight 10%), 85 parts (weight 7%), 85 parts (weight 5%), 90 parts (weight 3%)

The composite score is:

Comprehensive scoring =(60×0.25+80×0.18+70×0.12+90×0.05+85×0.04+95×0.03+85×0.03)+(80×0.15+90×0.10+85×0.07+85×0.05+90×0.03)

Composite score = (15+14.4+8.4+4.5+3.4+2.85+2.55) + (12+9+5.95+4.25+2.7)

Composite score = 50.9+33.9 = 84.8

Decision rule

And setting a threshold value, wherein the comprehensive score is more than or equal to 80 minutes, and the network environment in the well is suitable for directly deploying the 4G router. The composite score is < 80. There are certain disadvantages and advice to go to an indirect bridging scheme or other optimization measures.

The specific implementation steps are as follows:

The direct deployment scheme is that the installation position is selected, the car roof is selected as the optimal installation position of the 4G router, the car roof is ensured to be in an open area, and the influence of a shelter on signal reception is avoided. And 3, POE power supply configuration, namely, power Over Ethernet (POE) technology is adopted to supply power to the 4G router, so that the power supply circuit arrangement is simplified, and the installation efficiency is improved. And (3) antenna optimization, namely adjusting the external antenna direction of the 4G router according to the specific condition of a hoistway, and ensuring the optimal signal coverage range. And (3) performing a function test, namely performing a comprehensive function test, verifying the communication quality and stability, and ensuring the normal operation of the system.

And in the indirect bridging scheme, a machine room is provided with a 4G router, and the 4G router is arranged at the top of a building or in the machine room close to an elevator control center, so that good external signal receiving conditions are ensured. The network bridge equipment is selected from CPE network bridge equipment with high performance, has strong penetrating capacity and long-distance transmission characteristic, and ensures effective signal transmission from a machine room to the bottom of a well. The wiring and fixing are that special data transmission cables are paved by utilizing the existing elevator travelling cable channel, the CPE transmitting end is fixed at a proper position in a well, and the CPE transmitting end is usually positioned at a certain distance above a car and faces downwards so as to be convenient for signal receiving. Meanwhile, a corresponding receiving device is arranged on the car roof and is connected with the switch, and the receiving device is responsible for distributing multi-ladder signals. And 3, testing the communication effect of the whole system comprehensively, and ensuring no blind area and stable and reliable signals.

Special case handling

And in the case of approaching the critical value, adding extra test times, namely, in the case of scoring approaching 80 minutes, adding the extra test times, and acquiring more data to support the final decision. Critical parameter review-even if most parameters meet the criteria, if some critical parameter (such as RSSI or metal wall reflection) is significantly insufficient, care should be taken and further optimization or remedial action may be required.

Long term monitoring and feedback mechanism

And the remote monitoring platform is deployed, the network state of each node is monitored in real time, the abnormal condition is automatically alarmed, the stable operation of the system is ensured, and the user feedback is collected, so that the service quality and the user experience are continuously improved. And a dynamic adjustment strategy is that a self-adaptive algorithm is developed to monitor the network environment change in the well in real time, and the communication parameters (such as power control, frequency switching and the like) are dynamically adjusted according to the actual situation, so that the flexibility and the robustness of the network are obviously improved, and the continuous change of working conditions is adapted.

For example, key parameters and weights thereof are determined

Firstly, key parameters to be evaluated are definitely required, and weights are distributed according to the influence degree of the key parameters on the network communication quality. These parameters fall into two broad categories, network condition parameters and environmental analysis parameters.

Network condition parameter (total weight 60%)

Signal Strength (RSSI) 25%, which directly affects signal coverage and reception quality, is one of the most important indicators. Signal-to-noise ratio (SNR) of 18%, high SNR means clearer signal transmission, reduced bit error rate, and is critical to communication quality. Signal to interference plus noise ratio (SINR) 12%, interference factors are considered, and the actual communication effect can be reflected especially in complex environments. Bit Error Rate (BER) is 5%, but is usually strongly related to SNR and SINR, and thus the weight is slightly lower. Throughput (Throughput) 4%, affecting the data transmission rate, is important for certain application scenarios. Delay (Latency): 3% is critical for real-time applications (e.g. video surveillance, voice call) but has less impact on general data transmission. Jitter (Jitter) is 3% and mainly affects the quality of audio and video streams in real-time applications with the lowest weight.

Environmental analysis parameters (40% of total weight)

15% Of metal wall reflection and shielding effect, and the metal well wall can obviously influence signal propagation, so that multipath effect and shielding problem are caused. 10% of the physical obstruction, mechanical equipment and other fixtures within the hoistway may block or absorb wireless signals. The space limit is 7%, and the limited space in the well can influence the selection of equipment installation positions and wiring difficulty. 5% of electromagnetic interference source, the electric equipment from the inside and outside of the well can generate electromagnetic interference, and the communication quality is reduced. Environmental factors such as temperature and humidity, etc., 3%, and extreme temperature and humidity conditions may indirectly affect the operating state and performance of the wireless device.

Setting scoring criteria for each parameter

A scoring criterion is set for each parameter, converting the actual measured value into a score. For example:

network condition parameter scoring criteria

RSSI:

More than or equal to-60 dBm:100 minutes

-60 DBm to-70 dBm:80 minutes

-70 DBm to-80 dBm:60 minutes

80 DBm:40 minutes

SNR:

More than or equal to 25 dB:100 minutes

20 DB to 25 dB:80 min

15 DB to 20 dB:60 min

<15 DB:40 min

SINR:

More than or equal to 20 dB:100 minutes

15 DB to 20 dB:80 min

10 DB to 15 dB:60 min

<10 DB:40 min

BER:

< 10-6:100 Min

10-6 To 10-5:80 minutes

10-5 To 10-4:60 minutes

10-4:40 Minutes

Throughput:

More than or equal to 20 Mbps:100 minutes

10 Mbps to 20 Mbps:80 min

5 Mbps to 10 Mbps:60 minutes

<5 Mbps:40 min

Latency:

Less than or equal to 50 ms:100 minutes

50 Ms to 100 ms:80 minutes

100 Ms to 150 ms:60 minutes

150 Ms is 40 minutes

Jitter:

Less than or equal to 20 ms:100 minutes

20 Ms to 30 ms:80 min

30 Ms to 40 ms:60 min

40 Ms is 40 minutes

Environmental analysis parameter scoring criteria

The reflection and shielding effects of the metal wall surface are obvious, namely 40 minutes of strong reflection/shielding effect, 60 minutes of medium reflection/shielding effect, 80 minutes of weak reflection/shielding effect, and 100 minutes of almost no reflection/shielding effect

Physical obstacle is 40 minutes, a small amount of medium obstacle is 60 minutes, a small amount of slight obstacle is 80 minutes, and almost no obstacle is 100 minutes.

Space limitations:

Extremely limited, 40 minutes, larger limit, 60 minutes, moderately limited, 80 minutes, almost unlimited, 100 minutes.

Electromagnetic interference source exists in 40 minutes, medium interference source exists in 60 minutes, slight interference source exists in 80 minutes, and almost no interference source exists in 100 minutes.

The temperature and humidity and other environmental factors are 40 minutes in extreme conditions, 60 minutes in adverse conditions, 80 minutes in general conditions and 100 minutes in ideal conditions.

Calculating score of each parameter

And converting the actual measured value of each parameter into a corresponding score according to the field test result and the environment analysis result. For example, if the RSSI of a test site is 72 dBm, the parameter is scored as 60 points, if the SNR is 22 dB, the parameter is scored as 80 points, and so on. Meanwhile, for environmental analysis parameters, scoring is performed according to actual conditions, and if the reflection and shielding effects of the metal wall surface are weaker, 80 scores are obtained.

Weighted average calculation of composite score

Calculating a composite score using a weighted average formula, composite score = Σ (parameter score x weight)

Assume that the scores of parameters of a test point are:

Network condition parameter scores of RSSI 60 (weight 25%), SNR 80 (weight 18%), SINR 70 (weight 12%), BER 90 (weight 5%), throughput 85 (weight 4%), latency 95 (weight 3%), jitter 85 (weight 3%)

The environmental analysis parameters comprise 80 parts (weight 15%), 90 parts (weight 10%), 85 parts (weight 7%), 85 parts (weight 5%), 90 parts (weight 3%)

The comprehensive score is calculated as follows:

comprehensive scoring =(60×0.25+80×0.18+70×0.12+90×0.05+85×0.04+95×0.03+85×0.03)+(80×0.15+90×0.10+85×0.07+85×0.05+90×0.03)=(15+14.4+8.4+4.5+3.4 +2.85+2.55)+(12+9+5.95+4.25+2.7)=50.9+33.9=84.8

Decision rule

Formulating an explicit decision rule based on the composite score:

The comprehensive score is more than or equal to 80 minutes, and the network environment in the well is suitable for directly deploying the 4G router. At this time, can directly install 4G router at the sedan-chair top to use POE power supply, ensure succinctly high-efficient. Simultaneously, the angle and the direction of the antenna are adjusted to optimize the signal coverage range, and the final function test is performed to verify the communication quality and stability.

The composite score is < 80. There are certain disadvantages to suggest turning to an indirect bridging scheme or taking other optimization measures. At this time, a 4G router should be installed in a machine room, a high-performance CPE network bridge device is selected, a special data transmission cable is paved by utilizing an elevator retinue cable channel, and a CPE transmitting end is fixed at a proper position of a well and faces downwards so as to be convenient for signal reception. Corresponding receiving devices are arranged on the top of the elevator car and are connected with the switch, so that multi-elevator signals are distributed, the communication effect of the whole system is tested, and no blind area is ensured, and the signals are stable and reliable.

Special case handling-for edge cases (e.g. scores near the threshold), additional test times may be added to get more data to support the final decision. In addition, even if most parameters meet the criteria, if some critical parameter (such as RSSI or metal wall reflection) is significantly insufficient, care should be taken that further optimization or remedial action may be required.

Further, a variety of advanced techniques and methods may also be introduced to enhance the accuracy and reliability of the assessment. Firstly, electromagnetic simulation software (such as CST Microwave Studio) is utilized to simulate signal propagation effects under different deployment schemes, the installation position and angle of an antenna are optimized, the influence of reflection and shielding effects is reduced, potential problems are found in advance, and the field debugging cost is reduced. And secondly, performing spectrum analysis, detecting the conditions of frequency bands used inside and outside a hoistway by introducing a spectrum analyzer, identifying potential interference sources or spectrum conflicts, and taking corresponding measures to avoid the interference, so that the wireless communication quality is optimized, and the stable operation of a network is ensured. In addition, a plurality of temporary test nodes are arranged, a representative position is selected in a well to install a small 4G/5G router and CPE network bridge equipment, a wireless link is established, the actual communication quality of a direct deployment and indirect bridging scheme is verified, more demonstration support is provided for a final decision, and the reliability of the scheme is improved. In order to improve the flexibility and robustness of the network, an adaptive algorithm is developed to monitor the change of the network environment in the well in real time and dynamically adjust communication parameters (such as power control, frequency switching and the like) according to actual conditions. Meanwhile, a remote monitoring platform is deployed, so that real-time monitoring of network states of all nodes is realized, abnormal conditions are automatically alarmed, user feedback is collected, service quality and user experience are continuously improved, and precious experience and data support are provided for future optimization and upgrading through long-term data accumulation. And (3) designing and implementing a simulated fault scene test, verifying the response capability and a recovery mechanism of the system under extreme conditions, optimizing an emergency plan, and ensuring that reliable communication guarantee can be provided under any condition. Finally, considering the future technical development trend, the integrated edge computing capability enables part of data processing tasks to be completed locally, reduces delay and improves user experience, and along with the popularization of 5G networks, existing equipment is timely upgraded to support a 5G communication protocol to enjoy faster and more stable data transmission services. Through the expansion work, the well network condition can be estimated more comprehensively and accurately, and the high-efficiency stable operation of the elevator Internet of things system is ensured.

And selecting a corresponding deployment scheme based on the comprehensive score.

Specifically, a corresponding deployment scenario is selected based on the composite score

Setting a definite decision threshold

Determining a scoring standard, namely directly deploying a scheme, wherein the comprehensive score is more than or equal to 80 minutes. Indirect bridging scheme-composite score <80 points. Direct deployment scenario (for high scoring case)

Mounting location selection

The method comprises the following specific steps:

The car roof is selected as an installation position, so that the car roof is ensured to be in an open area, and the influence of a shielding object on signal receiving is avoided. In-situ investigation, a three-dimensional modeling tool (such as AutoCAD or Revit) is used for generating a structure diagram of the interior of a well, and the positions of all obstacles which can influence signal propagation are marked. And optimizing layout, namely adjusting the optimal installation position of the 4G router according to the simulation result, and ensuring the maximization of the signal coverage range.

POE power supply configuration

Selecting POE equipment, namely selecting a 4G router supporting Power Over Ethernet (POE) technology, simplifying power supply circuit arrangement and improving installation efficiency. And wiring planning, namely wiring by utilizing the existing elevator travelling cable channel, so that the extra construction cost is reduced. And safety inspection, namely ensuring that the wiring meets the electrical safety standard and avoiding short circuit or other potential safety hazards.

Antenna optimization

The method comprises the specific steps of selecting the antenna type, namely selecting the proper antenna type (such as an omni-directional antenna or a directional antenna) according to the hoistway environment. And angle adjustment, namely monitoring parameters such as RSSI, SNR and the like in real time by using a wireless signal analyzer, and gradually adjusting the angle and the direction of the antenna so as to obtain the optimal signal coverage range. And the fixing device is firmly arranged on the top of the car, so that the antenna is ensured not to shift due to vibration in the running process.

Functional testing

Uploading and downloading a large file, namely testing actual communication quality in a mode of uploading and downloading the large file, and recording key parameters such as throughput, delay, jitter and the like. Ping order test-using Ping order to measure delay and packet loss rate, ensuring network stability. And (3) simulating a fault scene, namely designing and implementing a simulated fault scene test, and verifying the response capability and recovery mechanism of the system under extreme conditions.

Indirect bridging scheme (for low scoring case)

Computer lab deploys 4G router

Selecting a machine room at the top of a building or near an elevator control center as the installation position of a 4G router to ensure good external signal receiving conditions. Environmental preparation, ensuring enough space and power supply in the machine room, and good ventilation, and avoiding overheating of equipment. Installing and debugging, namely installing the 4G router according to the instruction provided by the manufacturer, and performing preliminary function test to ensure the normal operation of the equipment.

Bridge device selection

The equipment selection comprises the steps of selecting high-performance CPE network bridge equipment, having strong penetrating capacity and long-distance transmission characteristics, and ensuring effective signal transmission from a machine room to the bottom of a well. Compatibility test, namely, the compatibility test is carried out on the selected equipment in a laboratory environment, so that seamless connection with the existing network architecture is ensured. And (3) performance verification, namely verifying the performance of the CPE network bridge equipment in a complex environment through actual tests, wherein the performance comprises signal strength, transmission rate and stability.

Wiring and fixing

The method comprises the specific steps of wiring planning, namely laying a special data transmission cable by utilizing the existing elevator travelling cable channel, and fixing the CPE transmitting end at a proper position in a well, wherein the CPE transmitting end is usually positioned at a certain distance above a car and faces downwards so as to be convenient for signal receiving. And the fixing device is used for selecting proper fixing points in the well so as to ensure that cables and equipment cannot be loosened or damaged due to vibration in the running process. The protection measures are to provide proper protection measures for cables and equipment, such as waterproof, dustproof and anti-interference treatment, and ensure long-term stable operation.

Communication effect test

The method comprises the specific steps of comprehensively testing the communication effect of the whole system, and ensuring that no blind area exists and signals are stable and reliable. And recording data, namely recording key parameters such as RSSI, SNR, SINR, BER, throughput, latency, jitter and the like of each test point. And (3) the problem investigation, namely, the found problems are timely subjected to investigation and repair, so that the system is ensured to reach the expected performance index.

Special case handling

And in the case of approaching the critical value, adding extra test times, namely, in the case of scoring approaching 80 minutes, adding the extra test times, and acquiring more data to support the final decision.

Critical parameter review-even if most parameters meet the criteria, if some critical parameter (such as RSSI or metal wall reflection) is significantly insufficient, care should be taken and further optimization or remedial action may be required.

Example flow

Assuming that the elevator hoistway of a commercial building is fully evaluated, the composite score is 84.52 points, near but slightly above the set threshold value of 80 points. Considering that certain key parameters (such as RSSI, SNR) still have room for improvement, it is suggested to take the following further optimization measures:

And setting temporary test nodes, namely selecting a representative position in a hoistway to install a small 4G/5G router and CPE network bridge equipment, establishing a wireless link, and verifying the actual communication quality of a direct deployment and indirect bridging scheme.

And a dynamic adjustment strategy is to develop a self-adaptive algorithm, monitor the network environment change in the well in real time, dynamically adjust communication parameters (such as power control, frequency switching and the like) according to actual conditions, and improve the flexibility and the robustness of the network.

And a long-term monitoring and feedback mechanism, namely deploying a remote monitoring platform, realizing real-time monitoring of the network state of each node, automatically alarming abnormal conditions, collecting user feedback and continuously improving service quality and user experience.

And (3) simulating a fault scene, namely designing and implementing a simulated fault scene test, verifying the response capability and a recovery mechanism of the system under extreme conditions, optimizing an emergency plan, and ensuring that reliable communication guarantee can be provided under any condition.

And the edge computing capability is integrated, namely, the development trend of future technology is considered, and the edge computing capability is integrated in the elevator Internet of things system, so that part of data processing tasks can be finished locally, delay is reduced, and user experience is improved.

For example, example 1 high composite score (. Gtoreq.80 points)

Scene description the elevator well of a new residential building is comprehensively evaluated, and the network condition and the environment analysis parameters are excellent. The parameters are calculated according to the set standard, such as signal strength (RSSI) 90, signal-to-noise ratio (SNR) 95, signal-to-interference-and-noise ratio (SINR) 92, bit Error Rate (BER) 100, throughput (Throughput) 88, delay (Latency) 93, jitter (Jitter) 95, metal wall reflection and shielding effect 90, physical barrier 100, space limitation 95, electromagnetic interference source 98, environmental factors such as temperature and humidity 96

Composite score calculation \begin { align } \text { composite score } }&= (90 \times 0.25 + 95 \times 0.18 + 92 \times 0.12 + 100 \times 0.05 + 88 \times 0.04 + 93 \times 0.03 + 95 \times 0.03) \\&\quad + (90 \times 0.15 + 100 \times 0.10 + 95 \times 0.07 + 98 \times 0.05 + 96 \times 0.03) \\&= (22.5 + 17.1 + 11.04 + 5 + 3.52 + 2.79 + 2.85) \\&\quad + (13.5 + 10 + 6.65 + 4.9 + 2.88) \\&= 65.8 + 37.93 \\&= 103.73

The result of the decision is that the comprehensive score is 103.73 minutes, which is far higher than the set threshold value by 80 minutes. Thus, a direct deployment scenario is selected.

The deployment scheme comprises the following steps:

And the installation position is selected by selecting the car roof as the optimal installation position of the 4G router, so that the car roof is ensured to be in an open area, and the influence of a shielding object on signal reception is avoided. And 3, POE power supply configuration, namely, power Over Ethernet (POE) technology is adopted to supply power to the 4G router, so that the power supply circuit arrangement is simplified, and the installation efficiency is improved. And (3) antenna optimization, namely adjusting the external antenna direction of the 4G router according to the specific condition of a hoistway, and ensuring the optimal signal coverage range. And (3) performing a function test, namely performing a comprehensive function test, verifying the communication quality and stability, and ensuring the normal operation of the system.

Example 2 Low composite score (< 80 points)

Scene description the elevator shaft of an old office building is comprehensively evaluated and a plurality of adverse conditions are found. The parameters are classified into 50 minutes of signal strength (RSSI), 60 minutes of signal-to-noise ratio (SNR), 55 minutes of signal-to-interference-and-noise ratio (SINR), 80 minutes of Bit Error Rate (BER), 65 minutes of Throughput (Throughput), 70 minutes of delay (Latency), 75 minutes of Jitter (Jitter), 40 minutes of metal wall reflection and shielding effect, 50 minutes of physical barrier, 60 minutes of space limitation, 55 minutes of electromagnetic interference source, 65 minutes of environmental factors such as temperature and humidity, and the like according to the set standard

Composite score calculation \begin { align } \text { composite score } }&= (50 \times 0.25 + 60 \times 0.18 + 55 \times 0.12 + 80 \times 0.05 + 65 \times 0.04 + 70 \times 0.03 + 75 \times 0.03) \\&\quad + (40 \times 0.15 + 50 \times 0.10 + 60 \times 0.07 + 55 \times 0.05 + 65 \times 0.03) \\&= (12.5 + 10.8 + 6.6 + 4 + 2.6 + 2.1 + 2.25) \\&\quad + (6 + 5 + 4.2 + 2.75 + 1.95) \\&= 41.85 + 19.9 \\&= 61.75

And the decision result is that the comprehensive score is 61.75 points and is 80 points below a set threshold value. Thus, an indirect bridging scheme is selected.

The deployment scheme comprises the following steps:

And arranging a 4G router in a machine room, namely installing the 4G router in the machine room at the top of a building or close to an elevator control center, and ensuring good external signal receiving conditions. The network bridge equipment is selected from CPE network bridge equipment with high performance, has strong penetrating capacity and long-distance transmission characteristic, and ensures effective signal transmission from a machine room to the bottom of a well. The wiring and fixing are that special data transmission cables are paved by utilizing the existing elevator travelling cable channel, the CPE transmitting end is fixed at a proper position in a well, and the CPE transmitting end is usually positioned at a certain distance above a car and faces downwards so as to be convenient for signal receiving. Meanwhile, a corresponding receiving device is arranged on the car roof and is connected with the switch, and the receiving device is responsible for distributing multi-ladder signals. And 3, testing the communication effect of the whole system comprehensively, and ensuring no blind area and stable and reliable signals.

Example 3 edge conditions near critical value (near 80 minutes)

Scene description the elevator hoistway of a commercial building is fully evaluated and the composite score approaches but does not reach the set threshold. The parameters are calculated according to the set standard, such as 75 min for signal strength (RSSI), 78 min for signal-to-noise ratio (SNR), 72 min for signal-to-interference-and-noise ratio (SINR), 90 min for Bit Error Rate (BER), 80 min for Throughput (Throughput), 85 min for delay (Latency), 88 min for Jitter (Jitter), 70 min for metal wall reflection and shielding effect, 80 min for physical barrier, 75 min for space limitation, 78 min for electromagnetic interference source, and 85 min for environmental factors such as temperature and humidity

Composite score calculation \begin { align } \text { composite score } }&= (75 \times 0.25 + 78 \times 0.18 + 72 \times 0.12 + 90 \times 0.05 + 80 \times 0.04 + 85 \times 0.03 + 88 \times 0.03) \\&\quad + (70 \times 0.15 + 80 \times 0.10 + 75 \times 0.07 + 78 \times 0.05 + 85 \times 0.03) \\&= (18.75 + 14.04 + 8.64 + 4.5 + 3.2 + 2.55 + 2.64) \\&\quad + (10.5 + 8 + 5.25 + 3.9 + 2.55) \\&= 54.32 + 30.2 \\&= 84.52

The result of the decision is that the comprehensive score is 84.52 points, which is close to but slightly higher than the set threshold value by 80 points. There is still room for improvement in view of certain critical parameters (e.g., RSSI, SNR), suggesting further optimization measures such as adding additional test times to obtain more data to support the final decision.

Setting a plurality of temporary test nodes, namely selecting a representative position in a well to install a small 4G/5G router and CPE network bridge equipment, establishing a wireless link, and verifying the actual communication quality of the direct deployment and indirect bridging scheme. And a dynamic adjustment strategy is to develop a self-adaptive algorithm, monitor the network environment change in the well in real time, dynamically adjust communication parameters (such as power control, frequency switching and the like) according to actual conditions, and improve the flexibility and the robustness of the network. And a long-term monitoring and feedback mechanism, namely deploying a remote monitoring platform, realizing real-time monitoring of the network state of each node, automatically alarming abnormal conditions, collecting user feedback and continuously improving service quality and user experience.

In some embodiments of the present application, the evaluation of the hoistway network condition based on the hoistway network strength and the hoistway environment is performed to obtain an evaluation result, specifically:

placing the analyzer at different floors and positions for multipoint testing;

Measuring network condition parameters in a hoistway, including 4G/5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-and-noise ratio, bit error rate, throughput, delay and jitter parameters;

and measuring environmental analysis parameters, including analyzing the internal structure of the well, marking factors influencing signal propagation, and identifying and recording all potential radio interference sources existing inside and outside the well.

Specifically, multipoint testing and data analysis

Placing analyzers at different floors and locations

In order to fully understand the network conditions in the hoistway, multiple points of testing at different floors and locations are required using specialized wireless signal analyzers. It is important to select representative test points that should cover various portions of the entire hoistway, including but not limited to:

Car roof (roof), which is one of the most straightforward installation locations, is able to provide first hand data regarding signal propagation within the hoistway. The bottom of the well is important to know the signal intensity and the change condition of the bottom layer, especially for an indirect bridging scheme. And selecting a plurality of intermediate layers for testing to capture the trend of the signal along with the change of the height. Machine room if an indirect bridging scheme is planned, the signal quality in the machine room is also a key evaluation point.

By the method, the comprehensiveness and the accuracy of the evaluation result can be ensured, and misjudgment caused by the local area characteristics is avoided.

Measuring network condition parameters

Measuring network condition parameters within a hoistway

Using specialized tools and equipment, network condition parameters in the hoistway are measured and recorded, mainly including the following:

The 4G/5G signal strength (RSSI) is a measure of the signal power in dBm received by the receiver. A higher RSSI value means a stronger signal, typically ∈ -70 dBm is considered a good signal. Signal-to-noise ratio (SNR) is the ratio of signal to background noise in dB. A high SNR means a clearer signal transmission, reduces the error rate, and is usually more than or equal to 20 dB as an ideal state. The signal-to-interference-plus-noise ratio (SINR) is a good standard which considers the signal-to-noise ratio after the interference factors and can reflect the actual communication effect more generally not less than 15 dB. Bit Error Rate (BER), which is a measure of the probability of errors occurring during transmission, should be as low as possible, and is usually < 10-6 is optimal. Throughput (Throughput) refers to the amount of data successfully transmitted per unit time in Mbps. The descending speed is more than or equal to 10 Mbps as the basic requirement. Delay (Latency) is the time in ms required from transmission to reception. Lower delays are conducive to real-time applications, typically less than or equal to 100 ms being the desired range. Jitter (Jitter) describes the degree of change in delay in ms. Stable jitter helps to ensure the quality of the audio-video stream, typically 30 ms or less is a good standard.

These parameters provide quantitative information about the performance of the network within the hoistway, which is the basis for assessing network conditions.

Measuring environmental analysis parameters

Analysis of hoistway internal structure

In addition to the technical parameters, the internal structure of the hoistway needs to be analyzed in detail, and factors affecting signal propagation are marked. This includes, but is not limited to:

The metal wall surface reflection and shielding effect is that the metal hoistway wall can reflect or shield wireless signals to influence the signal propagation path. The extent of its reflection and shielding is evaluated to determine if additional measures (such as optimizing the antenna position or angle) need to be taken. Physical obstructions-mechanical equipment and other fixtures within the hoistway may block or absorb wireless signals. The location and type of these obstacles are identified and considered how to avoid them. Space limitations-limited space within the hoistway can affect the selection of equipment installation locations and wiring difficulties. The available space is evaluated, ensuring the feasibility of equipment installation and wiring.

Identifying and recording potential sources of radio interference-identifying and recording all potential sources of radio interference present inside and outside the hoistway-is critical to ensuring network stability. The source of interference may be from:

other wireless devices such as Wi-Fi routers, bluetooth devices, or other wireless sensor systems. Electromagnetic interference generated by electric equipment such as motors, frequency converters and the like. Interference may also occur in the external environment, nearby base stations, microwave towers, etc.

Through detailed field investigation and spectrum analysis, specific positions and frequency ranges of the interference sources are identified, and corresponding evading measures (such as adjusting working frequency bands, adding shielding materials and the like) are adopted.

And integrating and comprehensively evaluating, namely finishing and summarizing the measurement data to form a complete report. And the signal change conditions of different positions and different time periods are intuitively displayed by using a chart or a graphic tool, so that the subsequent analysis is facilitated. The method comprises the steps of creating a data table to list the position of each test point and various parameter values corresponding to the test point, drawing a thermodynamic diagram to display signal intensity distribution in a well, and recording parameter fluctuation at different moments in the day to help identify a periodic interference source.

In some embodiments of the present application, the requirement determination is performed based on the evaluation result to obtain a composite score, where the requirement determination is performed based on the evaluation result and a preset standard, specifically:

and giving different weights according to the importance of each parameter, comparing and analyzing the evaluation results with preset standards one by one, identifying specific parameters which do not accord with the standards, recording the deviation degree of the specific parameters, and calculating the comprehensive score.

Specifically, a preset standard is set, firstly, a set of clear and quantitative technical evaluation standard needs to be established for measuring whether the network environment in the well meets the requirement of directly deploying the 4G router. These criteria should cover all critical parameters and specific gridlines or ideal ranges are set for each parameter. For example:

4G/5G signal strength (RSSI) not less than-70 dBm, signal-to-noise ratio (SNR) not less than 20 dB, signal-to-interference-plus-noise ratio (SINR) not less than 15 dB, bit Error Rate (BER) not less than 10-6, throughput (Throughput) not less than 10 Mbps, delay not more than 100ms, jitter not more than 30 ms

For the environmental analysis parameters, the environmental factors such as metal wall reflection and shielding effect, physical barriers, space limitation, electromagnetic interference sources, temperature and humidity and the like are considered.

And different weights are given according to the importance of each parameter, so that the comprehensive and targeted evaluation result is ensured. The weight assignment reflects the critical contribution of each parameter to the overall network performance. For example:

Network condition parameters (total weight 60%) are RSSI 25%, SNR 18%, SINR 12%, BER 5%, throughput 4%, latency 3%, jitter 3%. Environmental analysis parameters (total weight 40%) are that metal wall reflection and shielding effect is 15%, physical barrier is 10%, space limitation is 7%, electromagnetic interference source is 5%, and environmental factors such as temperature and humidity are 3%.

Comparative analysis

Comparison of parameters one by one

And comparing and analyzing the actual test results with preset standards one by one. This step is not limited to numerical comparisons but includes identification and recording of the degree of deviation of the parameters. For specific parameters which do not meet the standard, the differences need to be recorded in detail so as to facilitate the establishment of subsequent optimization measures. For example:

If the RSSI value of a test point is-72 dBm, the parameter score is 60 points. If the SNR is 22 dB, the score is 80 points. If there is significant metal wall reflection and shielding effects, the score may be only 40 points.

Identifying parameters that do not meet the criteria

In the comparison process, specific parameters which do not meet the standard are identified, and the deviation degree is recorded. This helps identify the main problem and provides a basis for subsequent adjustment. For example:

if the RSSI of a certain test point is lower than-70 dBm, the test point is marked as 'RSSI shortage', and a specific deviation value is recorded. If there are multiple serious physical obstructions, then the identification is "physical obstructions affected seriously".

Calculating a composite score

Conversion to fraction

The actual measured value of each parameter is converted into a score according to the set scoring criteria. For example:

RSSI is more than or equal to-60 dBm:100 minutes

-60 DBm to-70 dBm:80 minutes

-70 DBm to-80 dBm:60 minutes

80 DBm:40 minutes

The SNR is more than or equal to 25 dB:100 minutes

20 DB to 25 dB:80 min

15 DB to 20 dB:60 min

<15 DB:40 min

The reflection and shielding effects of the metal wall surface are obvious, namely 40 minutes of strong reflection/shielding effect, 60 minutes of medium reflection/shielding effect, 80 minutes of weak reflection/shielding effect, and 100 minutes of almost no reflection/shielding effect

Weighted average calculation

Calculating a composite score using a weighted average formula, composite score = Σ (parameter score x weight)

Assume that parameters of a test point are 60 points (weight 25%), 80 points (weight 18%), 70 points (weight 12%), 90 points (weight 5%), 85 points (weight 4%), 95 points (weight 3%), and 85 points (weight 3%).

The metal wall reflection and shielding effect is 80 minutes (weight 15%), the physical barrier is 90 minutes (weight 10%), the space limitation is 85 minutes (weight 7%), the electromagnetic interference source is 85 minutes (weight 5%), and the environmental factors such as temperature and humidity are 90 minutes (weight 3%).

The comprehensive score is that =(60×0.25+80×0.18+70×0.12+90×0.05+85×0.04+95×0.03+85×0.03)+(80×0.15+90×0.10+85×0.07+85×0.05+90×0.03)=(15+14.4+8.4+4.5 +3.4+2.85+2.55)+(12+9+5.95+4.25+2.7)=50.9+33.9=84.8

Decision rule

And (3) formulating a clear decision rule based on the comprehensive score, wherein the comprehensive score is more than or equal to 80 points, and the network environment in the well is suitable for directly deploying the 4G router. At the moment, the 4G router can be directly installed on the car roof, POE is used for supplying power, and simplicity and high efficiency are ensured. And simultaneously, the angle and the direction of the antenna are adjusted to optimize the signal coverage range, and the final function test is performed to verify the communication quality and stability.

The composite score is < 80. There are certain disadvantages to suggest turning to an indirect bridging scheme or taking other optimization measures. At the moment, a 4G router is installed in a machine room, high-performance CPE network bridge equipment is selected, a special data transmission cable is paved by utilizing an elevator travelling cable channel, and the CPE transmitting end is fixed at a proper position of a well and faces downwards so as to be convenient for signal reception. Corresponding receiving devices are arranged on the top of the elevator car and are connected with the switch, so that multi-elevator signals are distributed, the communication effect of the whole system is tested, and no blind area is ensured, and the signals are stable and reliable.

Special case handling-for cases near the threshold (e.g., scores near 80 points), additional test times may be added to obtain more data to support the final decision. Even if most parameters meet the standard, if some critical parameter (such as RSSI or metal wall reflection) is significantly insufficient, care should be taken that further optimization or remedial action may be required.

In some embodiments of the present application, the different weights are given according to the importance of each parameter, specifically:

determining a weight ratio between the network condition parameter and the environmental analysis parameter;

Determining weights of a first set of sub-parameters included in the network condition parameter and weights of a second set of sub-parameters included in the environmental analysis parameter;

Based on the weight ratio, the weight of the first sub-parameter set, and the weight of the second sub-parameter set.

Specifically, a weight ratio between a network condition parameter and an environmental analysis parameter is determined

First, it is necessary to determine the overall weight ratio between network condition parameters (e.g., signal strength, signal-to-noise ratio, etc.) and environmental analysis parameters (e.g., metal wall reflection and shielding effects, physical obstructions, etc.). This step aims at balancing the technical performance and the impact of the actual environmental conditions on the overall network quality.

The overall weight of the network condition parameter is 60%, and the network condition parameter directly reflects the quality of wireless communication, so that the network condition parameter occupies a higher weight proportion.

The total weight of the environmental analysis parameters is 40%, and the environmental analysis parameters are not direct technical indexes, but have important influence on signal propagation, so the environmental analysis parameters also occupy a certain weight.

Determining weights of a first set of sub-parameters (network condition parameters)

In the network condition parameters, it is further subdivided into a plurality of first sub-parameter sets, each sub-parameter being given a different weight according to its critical contribution to the communication quality. The specific distribution is as follows:

Signal Strength (RSSI) 25% (41.7% of the total weight of the network condition parameters) directly affects signal coverage and reception quality, which is one of the most important indicators.

Signal-to-noise ratio (SNR) of 18% (30.0% of the total weight of the network condition parameters), high SNR means clearer signal transmission, reduced bit error rate, and crucial to communication quality. The signal-to-interference-plus-noise ratio (SINR) is 12 percent (accounting for 20.0 percent of the total weight of the network condition parameters), and the signal-to-noise ratio after the interference factors are considered can reflect the actual communication effect. Bit Error Rate (BER) is 5% (8.3% of the total weight of the network condition parameters), but is usually associated with other parameters, and therefore the weight is slightly lower. Throughput (Throughput) 4% (6.7% of the total weight of the network condition parameters), which affects the data transmission rate, is important for some application scenarios. Delay (Latency) 3% (5.0% of the total weight of the network condition parameters) is critical for real-time applications (e.g., video monitoring, voice call), but has less impact on general data transmission. Jitter (Jitter) is 3% (5.0% of the total weight of the network condition parameters), which mainly affects the quality of audio and video streams in real-time applications, with the lowest weight.

Determining weights of a second sub-set of parameters (environmental analysis parameters)

In the environmental analysis parameters, it is further subdivided into a plurality of second sub-parameter sets, each sub-parameter being given a different weight according to its critical contribution to the quality of the communication. The specific distribution is as follows:

15% of reflection and shielding effect of the metal wall surface (37.5% of total weight of environmental analysis parameters), the metal well wall can obviously influence signal propagation, and multipath effect and shielding problem are caused. Physical obstructions 10% (25.0% of the total weight of the environmental analysis parameters), mechanical equipment and other fixtures within the hoistway may block or absorb wireless signals. Space limitations of 7% (17.5% of the total weight of the environmental analysis parameters), limited space within the hoistway can affect the selection of equipment installation locations and wiring difficulties. Electromagnetic interference source 5% (accounting for 12.5% of the total weight of environmental analysis parameters), and electromagnetic interference may be generated from electrical equipment inside and outside the well, so that communication quality is reduced. Environmental factors such as temperature and humidity, 3% (7.5% of the total weight of the environmental analysis parameters), and extreme temperature and humidity conditions may indirectly affect the operating state and performance of the wireless device.

Based on the weight ratio, the weight of the first sub-parameter set and the weight of the second sub-parameter set

Through the above steps, the overall weight ratio between the network condition parameters and the environmental analysis parameters, and the specific weight allocation inside each have been clarified. These weights are then applied to specific assessment results to calculate a composite score.

For example, assume that the individual parameter scores for a test point are:

Network condition parameters

RSSI 60 (25% weight), SNR 80 (18% weight), SINR 70 (12% weight), BER 90 (5% weight), throughput 85 (4% weight), latency 95 (3% weight), jitter 85 (3% weight)

Environmental analysis parameters

80 Parts (weight 15%), 90 parts (weight 10%), space limitation 85 parts (weight 7%), electromagnetic interference source 85 parts (weight 5%), and 90 parts (weight 3%) of environmental factors such as temperature and humidity

The comprehensive score is that =(60×0.25+80×0.18+70×0.12+90×0.05+85×0.04+95×0.03+85×0.03)+(80×0.15+90×0.10+85×0.07+85×0.05+90×0.03)=(15+14.4+8.4+4.5 +3.4+2.85+2.55)+(12+9+5.95+4.25+2.7)=50.9+33.9=84.8

By the method, different weights can be given according to the importance of each parameter, so that the comprehensive and targeted evaluation result is ensured. The weighting scoring system not only covers technical evaluation of network conditions, but also fully considers the influence of the internal structure and environmental characteristics of the well, and provides a solid basis for subsequent requirement judgment and deployment scheme selection.

In some embodiments of the present application, the selecting a corresponding deployment scenario based on the composite score is specifically:

Calculating the comprehensive score by weighted average, wherein the specific formula is that the comprehensive score is = Σ (parameter score x weight);

The comprehensive score is not lower than a preset score, a direct deployment scheme is selected, the comprehensive score is lower than the preset score, and an indirect bridging scheme is selected.

Specifically, the composite score is calculated by weighted averaging

The calculation formula of the comprehensive score is that the comprehensive score is = Σ (parameter score x weight)

Wherein the parameter score is the score into which the actual measured value of each evaluation parameter is converted. Weights-different weights are assigned according to the importance of the parameter. This formula obtains a composite score reflecting the overall network condition of the hoistway by multiplying each parameter score by its corresponding weight and summing. The method ensures that the evaluation result is comprehensive and targeted, and can accurately reflect the influence of each parameter on the network performance.

Determining a preset score

Before a deployment scenario is selected, an explicit pre-set score (threshold) needs to be set to distinguish between different levels of composite scores. For example:

Preset score of 80 points

This threshold should be adjusted based on preset criteria and actual test data to ensure its rationality and scientificity.

Selecting a deployment scenario

Selecting a corresponding deployment scheme according to the comparison of the calculated comprehensive score and the preset score:

the comprehensive score is not lower than the preset score (more than or equal to 80)

And if the comprehensive score reaches or exceeds the preset score, selecting a direct deployment scheme. This means that the network environment in the hoistway is ideal and the 4G router can be installed directly without having to take additional measures. The method comprises the following specific steps:

And the installation position is selected by selecting the car roof as the optimal installation position of the 4G router, so that the car roof is ensured to be in an open area, and the influence of a shielding object on signal reception is avoided. And 3, POE power supply configuration, namely, power Over Ethernet (POE) technology is adopted to supply power to the 4G router, so that the power supply circuit arrangement is simplified, and the installation efficiency is improved. And (3) antenna optimization, namely adjusting the external antenna direction of the 4G router according to the specific condition of a hoistway, and ensuring the optimal signal coverage range. And (3) performing a function test, namely performing a comprehensive function test, verifying the communication quality and stability, and ensuring the normal operation of the system.

The composite score is lower than the preset score (< 80 points)

And if the comprehensive score is lower than the preset score, selecting an indirect bridging scheme. This indicates that there are certain disadvantages in the hoistway such as insufficient signal strength, significant reflection and shielding effects, etc., and therefore an indirect bridging approach is required to overcome these problems. The method comprises the following specific steps:

And arranging a 4G router in a machine room, namely installing the 4G router in the machine room at the top of a building or close to an elevator control center, and ensuring good external signal receiving conditions. The network bridge equipment is selected from CPE network bridge equipment with high performance, has strong penetrating capacity and long-distance transmission characteristic, and ensures effective signal transmission from a machine room to the bottom of a well. The wiring and fixing are that special data transmission cables are paved by utilizing the existing elevator travelling cable channel, the CPE transmitting end is fixed at a proper position in a well, and the CPE transmitting end is usually positioned at a certain distance above a car and faces downwards so as to be convenient for signal receiving. Meanwhile, a corresponding receiving device is arranged on the car roof and is connected with the switch, and the receiving device is responsible for distributing multi-ladder signals. And 3, testing the communication effect of the whole system comprehensively, and ensuring no blind area and stable and reliable signals.

Special case handling-for cases near the threshold (e.g., scores near 80 points), additional test times may be added to obtain more data to support the final decision. Even if most parameters meet the standard, if some critical parameter (such as RSSI or metal wall reflection) is significantly insufficient, care should be taken that further optimization or remedial action may be required.

And (3) dynamically adjusting the strategy, namely developing an adaptive algorithm to monitor the change of the network environment in the well in real time in consideration of the possible change of the network environment in the well along with time, and dynamically adjusting communication parameters (such as power control, frequency switching and the like) according to actual conditions. This can significantly improve the flexibility and robustness of the network, adapting to changing operating conditions.

And a long-term monitoring and feedback mechanism, wherein no matter which deployment scheme is selected, a long-term monitoring platform is required to be established, the network state of each node is monitored in real time, abnormal conditions are automatically alarmed, the stable operation of the system is ensured, and the user feedback is collected, so that the service quality and the user experience are continuously improved. Precious experience and data support can also be provided for future optimization upgrades through long-term data accumulation.

A single ladder single network bridging communication support system comprising:

The system comprises an evaluation module, a judgment module and a selection module, wherein the evaluation module evaluates the well network condition based on well network intensity and well environment to obtain an evaluation result, the well network intensity is obtained by testing 4G/5G signals in a well, the well environment is obtained by analyzing the internal structure of the well, the judgment module judges the requirement based on the evaluation result to obtain a comprehensive score, the requirement judgment is based on the evaluation result and a preset standard for analysis and comparison, and the selection module selects a corresponding deployment scheme based on the comprehensive score.

According to one embodiment of the application, the evaluation module is specifically:

The method comprises the steps of placing analyzers on different floors and positions for multipoint testing, measuring 4G/5G signal intensity, signal-to-noise ratio (SNR), signal-to-interference-and-noise ratio, bit error rate, throughput, delay and jitter parameters in a well, analyzing the internal structure of the well, marking factors affecting signal propagation, and identifying and recording all potential radio interference sources existing inside and outside the well.

An embodiment of a second aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the disconnection reconnection method of the intelligent embedded device remote management system in any of the embodiments of the first aspect when the processor executes the program.

Fig. 2 illustrates a physical schematic diagram of an electronic device, as shown in fig. 2, which may include a processor 810, a communication interface (Communications Interface) 820, a memory 830, and a communication bus 840, where the processor 810, the communication interface 820, and the memory 830 perform communication with each other through the communication bus 840. The processor 810 may invoke logic instructions in the memory 830 to perform the single ladder single network bridge communication security method in any of the embodiments of the first aspect described above, the method comprising:

The method comprises the steps of evaluating well network conditions based on well network strength and well environment to obtain an evaluation result, wherein the well network strength is obtained by testing 4G/5G signals in a well, the well environment is obtained by analyzing the internal structure of the well, demand judgment is carried out based on the evaluation result to obtain a comprehensive score, the demand judgment is based on the evaluation result and a preset standard, and a corresponding deployment scheme is selected based on the comprehensive score.

Further, the logic instructions in the memory 830 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. The storage medium includes a U disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product, where the computer program product includes a computer program, where the computer program may be stored on a non-transitory computer readable storage medium, where the computer program when executed by a processor is capable of executing the single-ladder single-span network bridging communication guaranteeing method provided by the above methods, and the method includes:

The method comprises the steps of carrying out heartbeat detection on a client and a device according to a preset period, checking the connection state of TCP to judge whether a disconnection condition exists, dividing the disconnection condition into WiFi signal problems, IP address changes and device restarting or network configuration changes, selecting different reconnection modes according to different disconnection conditions, wherein the reconnection modes comprise a quick reconnection strategy, an index backoff algorithm and connection by using a new IP address, the quick reconnection strategy is used for solving the WiFi signal problems, the index backoff algorithm is used for solving the device restarting or network configuration changes, and the connection by using the new IP address is used for solving the IP address changes.

In still another aspect, the present invention further provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the single-ladder single-span network bridging communication guaranteeing method provided by the above methods, the method comprising:

The method comprises the steps of carrying out heartbeat detection on a client and a device according to a preset period, checking the connection state of TCP to judge whether a disconnection condition exists, dividing the disconnection condition into WiFi signal problems, IP address changes and device restarting or network configuration changes, selecting different reconnection modes according to different disconnection conditions, wherein the reconnection modes comprise a quick reconnection strategy, an index backoff algorithm and connection by using a new IP address, the quick reconnection strategy is used for solving the WiFi signal problems, the index backoff algorithm is used for solving the device restarting or network configuration changes, and the connection by using the new IP address is used for solving the IP address changes.

Example 2

Internet of things system deployment of elevator of certain high-rise office building

Scene description

Certain high-rise office buildings plan to upgrade the functions of the Internet of things of the elevator system of the high-rise office buildings so as to improve the automation level and user experience of the building. The office building has 20 floors, an elevator shaft is of a metal structure, various electrical equipment (such as a motor and a control panel) exist in the elevator shaft, and part of floors have stronger Wi-Fi signal interference. In addition, office buildings are located in urban central areas, surrounded by multiple tall buildings, which may introduce additional radio interference.

Evaluation step

Test tool selection

A specialized wireless signal analyzer (e.g., qualiPoc, metagear) is used to perform a comprehensive test on the 4G/5G signals within the hoistway.

Test time, namely, taking the fluctuation of signals into consideration, selecting different time periods (such as 8 am, 12 pm and 8 pm) in one day to perform multiple tests, and ensuring the comprehensiveness and accuracy of data.

Multi-point testing and data analysis

Multiple points of testing were performed on the top of the car (roof), the bottom of the hoistway, and multiple floors in the middle (e.g., 5 floors, 10 floors, 15 floors).

Each test point records the following key parameters:

RSSI average-73 dBm, SNR average 21 dB, SINR average 16 dB, BER average 10-6, throughput average 8 Mbps, latency average 90 ms, jitter average 28 ms

Environmental analysis

Analysis of the internal structure of the hoistway shows that the obvious metal wall reflection and shielding effects, especially the signal attenuation at the bottom of the hoistway, are serious. All factors that may affect signal propagation are noted, including the location of the mechanical device and potential sources of radio interference (e.g., nearby Wi-Fi routers). Drawing a three-dimensional model of a well, marking the positions of all fixing devices, and designing a signal transmission path bypassing the obstacle. All potential radio interference sources existing inside and outside the hoistway are identified and recorded, and shielding, filtering and other measures are adopted to reduce the influence of the potential radio interference sources.

Comprehensive score calculation

Scoring the measured data according to the set standard and weight distribution:

network condition parameter score:

RSSI 60 (25% weight), SNR 80 (18% weight), SINR 70 (12% weight), BER 100 (5% weight), throughput 80 (4% weight), latency 80 (3% weight), jitter 70 (3% weight)

The environmental analysis parameters comprise 60 minutes (weight 15%) of metal wall reflection and shielding effect, 80 minutes (weight 10%) of physical barrier, 75 minutes (weight 7%), electromagnetic interference source 70 minutes (weight 5%), and 85 minutes (weight 3%) of environmental factors such as temperature, humidity and the like.

The comprehensive score is that =(60×0.25+80×0.18+70×0.12+100×0.05+80×0.04+80×0.03+70×0.03)+(60×0.15+80×0.10+75×0.07+70×0.05+85×0.03)=(15+14.4+8.4+5 +3.2+2.4+2.1)+(9+8+5.25+3.5+2.55)=50.5+28.3=78.8

Deployment decision

Since the composite score is 78.8, 80 points below the preset threshold, an indirect bridging scheme is recommended:

and arranging a 4G router in a machine room, namely installing the 4G router in the machine room at the top of a building or close to an elevator control center, and ensuring good external signal receiving conditions.

The network bridge equipment is selected from CPE network bridge equipment with high performance, has strong penetrating capacity and long-distance transmission characteristic, and ensures effective signal transmission from a machine room to the bottom of a well.

The wiring and fixing are that special data transmission cables are paved by utilizing the existing elevator travelling cable channel, the CPE transmitting end is fixed at a proper position in a well, and the CPE transmitting end is usually positioned at a certain distance above a car and faces downwards so as to be convenient for signal receiving. Meanwhile, a corresponding receiving device is arranged on the car roof and is connected with the switch, and the receiving device is responsible for distributing multi-ladder signals.

And 3, testing the communication effect of the whole system comprehensively, and ensuring no blind area and stable and reliable signals. The method comprises the steps of uploading and downloading a large file, testing actual communication quality in a Ping command mode and the like, and recording various parameter values.

And the subsequent optimization measures are that the additional test times can be considered to be added in consideration of the fact that the comprehensive score is close to the critical value, and more data support final decisions are obtained. At the same time, for certain key parameters (such as RSSI, SNR), the antenna mounting position or angle can be further optimized, and the influence of reflection and shielding effect can be reduced. In addition, a spectrum analyzer is introduced to detect the conditions of frequency bands used inside and outside a hoistway, identify potential interference sources or spectrum conflicts, and take corresponding measures to avoid the interference, so that the wireless communication quality is optimized, and the stable operation of a network is ensured.

And a dynamic adjustment strategy is that an adaptive algorithm is developed to monitor the network environment change in the well in real time, and communication parameters (such as power control, frequency switching and the like) are dynamically adjusted according to actual conditions, so that the flexibility and the robustness of the network are improved.

And a long-term monitoring and feedback mechanism, namely deploying a remote monitoring platform, realizing real-time monitoring of the network state of each node, automatically alarming abnormal conditions, collecting user feedback and continuously improving service quality and user experience.

Precious experience and data support can also be provided for future optimization upgrades through long-term data accumulation.

And (3) simulating a fault scene, namely designing and implementing a simulated fault scene test, verifying the response capability and a recovery mechanism of the system under extreme conditions, optimizing an emergency plan, and ensuring that reliable communication guarantee can be provided under any condition.

And integrating the edge computing capability, namely integrating the edge computing capability in an elevator Internet of things system in order to cope with the development trend of future technologies, so that part of data processing tasks can be completed locally, delay is reduced, and user experience is improved. With the popularization of 5G networks, existing devices are upgraded to support 5G communication protocols in due time, and faster and more stable data transmission services are enjoyed.

The application can be realized by adopting or referring to the prior art at the places which are not described in the application.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

Claims (7)

1. A single ladder single network bridging communication guarantee method is characterized by comprising the following steps:

evaluating a hoistway network condition based on hoistway network strength and a hoistway environment to obtain an evaluation result, wherein the hoistway network strength is obtained by testing 4G/5G signals in a hoistway, and the hoistway environment is obtained by analyzing an internal structure of the hoistway;

Performing demand judgment based on the evaluation result to obtain a comprehensive score, wherein the demand judgment is based on the evaluation result and a preset standard for analysis and comparison;

Giving different weights according to the importance of each parameter, comparing and analyzing the evaluation results with preset standards one by one, identifying specific parameters which do not accord with the standards, recording the deviation degree of the specific parameters, and calculating the comprehensive score;

The different weights are given according to the importance of each parameter, specifically:

determining a weight ratio between the network condition parameter and the environmental analysis parameter;

Determining weights of a first set of sub-parameters included in the network condition parameter and weights of a second set of sub-parameters included in the environmental analysis parameter;

selecting a corresponding deployment scheme based on the comprehensive score, specifically:

Calculating the comprehensive score through weighted average, wherein the specific formula is as follows:

Composite score = Σ (parameter score x weight);

The comprehensive score is not lower than a preset score, and a direct deployment scheme of deploying the 4G router at the top of the sedan is selected;

and the comprehensive score is lower than the preset score, and an indirect bridging scheme for deploying the 4G router in the machine room is selected.

2. The method according to claim 1, wherein the evaluation of the hoistway network conditions based on the hoistway network strength and the hoistway environment is performed to obtain an evaluation result, specifically:

placing the analyzer at different floors and positions for multipoint testing;

Measuring network condition parameters in a hoistway, including 4G/5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-and-noise ratio, bit error rate, throughput, delay and jitter parameters;

and measuring environmental analysis parameters, including analyzing the internal structure of the well, marking factors influencing signal propagation, and identifying and recording all potential radio interference sources existing inside and outside the well.

3. A single ladder single network bridging communication support system performing the method of claim 1, comprising:

The evaluation module is used for evaluating the well network condition based on the well network strength and the well environment to obtain an evaluation result, wherein the well network strength is obtained by testing 4G/5G signals in a well, and the well environment is obtained by analyzing the internal structure of the well;

the judging module is used for carrying out demand judgment based on the evaluation result to obtain a comprehensive score, and the demand judgment is based on the evaluation result and a preset standard for analysis and comparison;

And the selection module is used for selecting a corresponding deployment scheme based on the comprehensive score.

4. The system of claim 3, wherein the evaluation module is further configured to:

placing the analyzer at different floors and positions for multipoint testing;

The method is used for measuring 4G/5G signal strength, signal to noise ratio, signal to interference plus noise ratio, bit error rate, throughput, delay and jitter parameters in a hoistway;

And analyzing the internal structure of the well, marking factors influencing signal propagation, and identifying and recording all potential radio interference sources existing inside and outside the well.

5. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 2 when the computer program is executed.

6. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 2.

7. A computer program product comprising instructions which, when run on a device, cause the device to perform the steps of implementing the method according to any of claims 1 to 2.