CN118494510B - Active safe driving auxiliary integrated machine cloud management platform - Google Patents
Active safe driving auxiliary integrated machine cloud management platform Download PDFInfo
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- CN118494510B CN118494510B CN202410940146.8A CN202410940146A CN118494510B CN 118494510 B CN118494510 B CN 118494510B CN 202410940146 A CN202410940146 A CN 202410940146A CN 118494510 B CN118494510 B CN 118494510B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
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- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/0098—Details of control systems ensuring comfort, safety or stability not otherwise provided for
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
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- H—ELECTRICITY
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/10—Historical data
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
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Abstract
The invention belongs to the technical field of driving auxiliary management, and particularly discloses an active safe driving auxiliary integrated machine cloud management platform, which is used for updating and adjusting the monitoring precision of a driving monitoring terminal by combining the historical alarm record occupation ratio corresponding to an alarm event by taking the historical alarm record generated by auxiliary driving and associating the alarm record with the alarm event and the driving monitoring terminal, so that the auxiliary driving can respond to the real-time state change of a driver in real time and rapidly, the prediction capability of auxiliary driving on the running risk is improved, meanwhile, the network transmission state is detected in real time in the starting and running process of the vehicle, and the network transmission limitation degree is analyzed, so that the collected running data is limited according to the network transmission limitation degree, the important data can be ensured to be transmitted preferentially under the condition of limited network transmission, and the prediction interference on the running risk due to the limited network transmission is reduced to the maximum extent.
Description
Technical Field
The invention belongs to the technical field of driving assistance management, and particularly discloses an active safe driving assistance integrated machine cloud management platform.
Background
With the increase of population and economic development, the number of vehicles is continuously increased, so that the density and daily increase of vehicles on roads are caused, the possibility of traffic accidents is increased, in addition, the complex and variable and bad driving habits of modern traffic environments also invisibly aggravate the occurrence of traffic accidents, active safety-assisted driving technology is generated under the circumstance, and the potential danger and accident risk are identified by monitoring the surrounding environment of the vehicles and driving behaviors in real time during driving by using the active safety-assisted driving technology on the vehicles, so that the possibility of traffic accidents is reduced.
Because the driving safety assistance driving mainly relies on the driving monitoring terminal (such as a camera, a sensor and the like) to sense and monitor the behavior and the state of a driver in real time, the effect of the driving safety assistance driving depends on the monitoring accuracy of the driving monitoring terminal on the driving state to a great extent, but the prior art usually only pays attention to the monitoring result of the driving monitoring terminal on the driving state in the application of the driving safety assistance driving, and neglects the updating and adjusting of the monitoring accuracy of the driving monitoring terminal, so that the setting of the monitoring accuracy of the driving monitoring terminal is easy to be too solidified, the monitoring is possibly caused to be too conservative, the hidden danger that the dangerous situation cannot be timely warned in the driving assistance driving exists, the monitoring accuracy of the driving assistance driving is reduced, the driving assistance is influenced, and the performance optimization of the driving assistance is not facilitated.
In addition, real-time effective transmission after the driving data acquisition is critical to the normal operation of the auxiliary driving, however, the transmission of the driving data is greatly influenced by the network state, the existing transmission after the driving data acquisition is often excessively concerned about real-time transmission, the transmission effectiveness is not concerned enough, the normal transmission is still carried out under the condition of limited network transmission, the data transmission is easily interrupted or incomplete under the condition, a receiving end cannot acquire complete and accurate driving data, and invalid transmission is caused, so that the analysis and prediction capability of the auxiliary driving on the driving risk is influenced.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, an object of the present invention is to provide an active and safe driving support integrated machine cloud management platform, which performs targeted update adjustment on the monitoring accuracy of a driving monitoring terminal based on a history alarm record, and performs transmission limitation of driving data by increasing monitoring of a network transmission state during driving of a vehicle, so as to effectively solve the problems in the prior art.
The aim of the invention can be achieved by the following technical scheme: an initiative safe driving auxiliary integrated machine cloud management platform comprises the following modules: the historical alarm record classifying module is used for selecting a historical period, further calling alarm records of the historical period from the cloud management platform before the vehicle is started, extracting alarm events and driving data from the alarm records, further classifying the alarm records corresponding to the same alarm events, and counting the historical alarm record duty ratio corresponding to each alarm event.
And the associated monitoring terminal acquisition module is used for acquiring the monitoring terminal corresponding to the corresponding running data based on the running data in the historical alarm records corresponding to the same alarm event, thereby acquiring the monitoring terminal associated with each alarm event.
And the monitoring precision updating module is used for updating the monitoring precision of the driving monitoring terminal based on the historical alarm record duty ratio corresponding to each alarm event and the monitoring terminal associated with the corresponding alarm event.
And the updating effect evaluation processing module is used for retrieving the generated alarm record according to the set evaluation period after updating, thereby evaluating whether the updating effect meets the standard or not and performing adjustment processing when the updating effect is evaluated to be not met.
And the monitoring frequency adjusting module is used for adjusting the monitoring frequency requirement of the driving data needing to be collected by the cloud management platform.
And the running data real-time acquisition module is used for acquiring the running data according to the adjusted monitoring frequency in the starting and running process of the vehicle.
The network transmission state detection module is used for detecting the network transmission state in real time in the starting operation process of the vehicle and analyzing the network transmission limitation degree.
And the driving data transmission limiting module is used for limiting the transmission of the collected driving data based on the network transmission limiting degree.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the historical alarm record generated by the auxiliary driving is called, and the alarm record is associated with the alarm event and the driving monitoring terminal, so that the monitoring precision of the driving monitoring terminal is updated and adjusted by combining the historical alarm record corresponding to the alarm event, the auxiliary driving can respond to the real-time state change of the driver in real time and quickly, the prediction capability of the auxiliary driving on the driving risk is improved, the accuracy of the auxiliary monitoring is effectively improved, meanwhile, the monitoring precision is updated in an active self-adaptive manner, the system is less dependent on manual setting or intervention of a user, the operation of the system is simplified, and the trust feeling and satisfaction degree of the driver on the system are improved.
(2) According to the invention, the network transmission state is detected in real time in the starting operation process of the vehicle, and the network transmission limitation degree is analyzed, so that the collected running data is limited according to the network transmission limitation degree, on one hand, important data can be ensured to be transmitted preferentially under the condition of limited network transmission, the predicted interference to the running risk due to limited network transmission is reduced to the maximum extent, and on the other hand, the data transmission risk is reduced while the bandwidth resource is saved by limiting the data transmission amount under the condition of limited network transmission.
(3) The invention also increases the verification and evaluation of the updating effect after updating the monitoring precision of the driving monitoring terminal, can verify whether the driving monitoring terminal truly improves the performance after updating, helps evaluate the actual performance of the auxiliary driving in practice, and can discover the possible problems or defects of the monitoring precision updating in time so as to form optimized feedback adjustment and ensure that the auxiliary driving is kept efficient and effective under the continuously changing environment and requirement.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides an active safe driving auxiliary integrated machine cloud management platform which comprises a historical alarm record classifying module, an associated monitoring terminal acquiring module, a monitoring precision updating module, an updating effect evaluation processing module, a monitoring frequency adjusting module, a driving data real-time acquisition module, a network transmission state detection module and a driving data transmission limiting module.
Referring to fig. 1, the historical alarm record classifying module is connected with the associated monitoring terminal acquiring module, the associated monitoring terminal acquiring module is connected with the monitoring precision updating module, the monitoring precision updating module is respectively connected with the updating effect evaluation processing module and the monitoring frequency adjusting module, the monitoring frequency adjusting module is connected with the driving data real-time acquisition module, and the driving data real-time acquisition module and the network transmission state detecting module are both connected with the driving data transmission limiting module.
The history alarm record classifying module is used for selecting a history period, further calling alarm records of the history period from the cloud management platform before the vehicle is started, extracting alarm events and driving data from the alarm records, further classifying the alarm records corresponding to the same alarm events, and counting the history alarm record duty ratio corresponding to each alarm event.
The history period is limited by the current time, the selection time range is not too short, the number of the called alarm records is small, the statistical result is not stable enough, the representative conclusion is difficult to be obtained, the reliability and the effectiveness of the statistical analysis are difficult to be ensured, meanwhile, the selection time range of the history period is not too long, the called alarm records are too long and are not representative any more, the alarm records can be specifically selected according to the driving frequency of a driver on a vehicle, and the selection time range of the history period is 8 months.
It should be noted that, the updating of the monitoring accuracy of the driving monitoring terminal according to the alarm record is because the alarm record usually records various events and alarms occurring in the actual driving process, and these events may relate to various factors such as vehicle behavior, road conditions, traffic conditions, and the like. By analyzing these recordings, event information that occurs in the real world can be obtained, helping to understand the behavior of monitoring assisted driving when handling various scenarios.
In a further implementation of the above solution, the warning record generally includes a warning event, a warning time, and driving data monitored by the driving monitoring terminal when the warning occurs, where the warning event refers to a specific event when the warning occurs, such as a collision, a lane departure, an overspeed, a blind area, etc., and the driving data monitored by the driving monitoring terminal when the warning occurs is driving information of a vehicle involved in the warning, such as a vehicle speed, an acceleration, a steering angle, etc., and the warning state can be quantitatively and graphically displayed.
The associated monitoring terminal acquisition module is used for acquiring the monitoring terminal corresponding to the corresponding running data based on the running data in the historical alarm records corresponding to the same alarm event, so as to obtain the monitoring terminal associated with each alarm event.
It should be added that the driving data need to depend on the driving monitoring terminal to monitor, different driving data have different monitoring terminals, and illustratively, the driving monitoring terminal corresponding to the speed is a speed sensor, the driving monitoring terminal corresponding to the steering angle is a steering sensor, and the driving monitoring terminal corresponding to the driver behavior is a camera.
The monitoring precision updating module is used for updating the monitoring precision of the driving auxiliary monitoring terminal based on the historical alarm record duty ratio corresponding to each alarm event and the monitoring terminal associated with the corresponding alarm event.
As an innovative implementation of the above scheme, the update sequence of the monitoring terminal needs to be set before the monitoring accuracy of the driving monitoring terminal is updated, and the specific operations are as follows: and comparing the monitoring terminals associated with the alarm events, and classifying the alarm events corresponding to the same monitoring terminals, thereby counting the number of the alarm events related to the monitoring terminals.
It should be noted that some driving monitoring terminals integrate various sensor data, such as cameras, radars, lidar, etc. Each sensor provides data with unique viewing angles and information, and such a driving monitoring terminal can monitor multiple driving data, so that one driving monitoring terminal can be involved in multiple alarm events.
And selecting the maximum value of the alarm record duty ratio corresponding to all the alarm events related to each monitoring terminal, further differencing the maximum value and the minimum value, and dividing the differencing result by the maximum value to obtain the alarm duty ratio differentiation degree of each monitoring terminal related to the alarm event.
Comparing the alarm duty cycle degree of each monitoring terminal related to the alarm event with a preset effective degree of differentiation, wherein the effective degree of differentiation is 0.2 in an exemplary manner, wherein the effective degree of differentiation is initially set by a platform, the aim of setting is to assist analysis of trend alarm duty cycle of the monitoring terminal, if the alarm duty cycle degree of each monitoring terminal related to the alarm event is smaller than the effective degree of differentiation, the alarm record duty cycle distribution of each monitoring terminal related to the alarm event is shown to be uniform, at the moment, the average value can play a representative role, the average value of all alarm record duty cycles corresponding to all alarm events related to the monitoring terminal is taken as the trend alarm duty cycle corresponding to the monitoring terminal, otherwise, the alarm record duty cycle distribution of each monitoring terminal related to the alarm event is shown to be more dispersed, the average value can be easily influenced by the abnormal value at the moment, and the average value can not play the representative role, and then the median value of all alarm record duty cycles corresponding to the alarm events related to the monitoring terminal is taken as the trend alarm duty cycle corresponding to the monitoring terminal.
It should be understood that, since there are cases where one monitoring terminal involves multiple alarm events, and each alarm event corresponds to one alarm record duty ratio, if the alarm record duty ratio of each alarm event involved in each monitoring terminal is directly subjected to mean value calculation to represent the trend alarm duty ratio of each monitoring terminal, the alarm record duty ratio distribution situation of the alarm events involved in each monitoring terminal is not considered, and the mean value is only applicable to the situation that the data distribution is uniform and symmetrical, and directly using the mean value for statistics causes application limitation, so that the accuracy and reliability of the statistics result are affected.
Calculating the alarm relation degree corresponding to each monitoring terminal by combining the trend alarm duty ratio corresponding to each monitoring terminal with the associated alarm event number, wherein the specific calculation formula is as follows。
And arranging the monitoring terminals in descending order according to the alarm relativity, wherein the arrangement result is the updating sequence of the monitoring terminals.
According to the invention, the updating sequence is set before the monitoring precision of the driving monitoring terminal is updated, so that an updating plan can be reasonably arranged, the monitoring precision of the driving monitoring terminal with high alarm relation is ensured to be updated preferentially, the real-time feedback and warning capability of the monitoring system to the behavior of the driver are improved, and the driving risk and accident rate are reduced.
Further, the following process is referred to for updating the monitoring accuracy of the driving monitoring terminal: obtaining product specifications corresponding to each monitoring terminal, thereby extracting an adjustable precision interval corresponding to the monitoring terminal from the use specification of the monitoring terminal, wherein the adjustable precision interval of the monitoring terminal is exemplified by。
It is to be appreciated that with the development of modern sensing technology and electronic control technology, the monitoring device can be more flexibly adjusted and configured, and accurate control of monitoring accuracy can be realized, so as to adapt to different application requirements and environmental conditions.
And comparing the alarm relativity corresponding to each monitoring terminal with a threshold set by a platform in sequence according to the updating sequence of the monitoring terminals, wherein the threshold set by the platform is 0.5 in an exemplary manner, the purpose of setting the alarm relativity threshold is to assist the driving monitoring terminal screening which needs to be updated in monitoring precision, and if the alarm relativity corresponding to a certain monitoring terminal is greater than or equal to the corresponding threshold, the monitoring terminal is identified to need to be updated in monitoring precision, and the monitoring terminal is marked as a target monitoring terminal.
According to the invention, the monitoring precision is updated by utilizing the alarm relation to screen out the driving monitoring terminal with high alarm relation, so that the updating effort can be concentrated on the terminal with the greatest influence on the driving behavior when facing limited resources and time, the benefit of the system can be maximized, the resource utilization rate is improved, the most remarkable system performance improvement and safety improvement can be obtained in a short time, and meanwhile, the driving monitoring terminal with lower alarm relation can face the problems of lower benefit, higher cost and potential negative influence on the system stability and user experience if the driving monitoring terminal with lower alarm relation is updated.
Acquiring the current monitoring precision of a target monitoring terminal, and combining the alarm related degree corresponding to the monitoring terminal to pass through an expressionObtaining the demand monitoring precision of the target monitoring terminalIn the followingIndicating the current monitoring accuracy of the target monitoring terminal,And indicating the alarm relation degree corresponding to the target monitoring terminal.
It is to be noted that the monitoring precision mentioned in the invention can be absolute precision, the positive and negative signs of the numerical values are not considered when the required monitoring precision is calculated, and the smaller the updated monitoring precision relative to the current monitoring precision, the smaller the error of the monitoring terminal during measurement is, and the measurement result is closer to the actual value, so that the higher the measurement precision of the monitoring terminal is.
And comparing the required monitoring precision of the target monitoring terminal with an adjustable precision interval corresponding to the monitoring terminal, if the required monitoring precision of the target monitoring terminal falls into the adjustable precision interval corresponding to the monitoring terminal, updating the monitoring precision of the target monitoring terminal according to the required monitoring precision, otherwise, updating the monitoring precision of the target monitoring terminal according to the lower limit precision in the adjustable precision interval corresponding to the target monitoring terminal.
According to the invention, the monitoring precision is updated according to the requirements of the target monitoring terminal and the adjustable precision interval, so that the resource utilization can be balanced under the condition of meeting the updating requirements to the maximum extent.
And the updating effect evaluation processing module is used for retrieving the generated alarm record according to the set evaluation period after updating, so as to evaluate whether the updating effect meets the standard or not and perform adjustment processing when the updating effect is evaluated to be not met.
It should be noted that the setting of the evaluation period can refer to the selection of the time range of the history period, so as to avoid the error caused by too little alarm record generated in the calling process.
In the optimized implementation of the scheme, whether the updating effect meets the standard is evaluated specifically as follows: and extracting an alarm event from the generated alarm record as an alarm event, further extracting a monitoring terminal associated with the alarm event, matching the monitoring terminal with a target monitoring terminal, and screening out the successfully matched alarm event from the monitoring terminal as a target alarm event.
It should be noted that, since the target monitoring terminal is an updated driving monitoring terminal, effective evaluation can be achieved only for the updated driving monitoring terminal when performing the update effect evaluation.
Counting the alarm record duty ratio of the target alarm event in the generated alarm records, comparing the alarm record duty ratio with the historical alarm record duty ratio corresponding to the target alarm event, and expressing the alarm record duty ratio by the expressionStatistics monitoring terminal update effect coefficient，An alarm record duty cycle representing a target alarm event,Representing a historical alarm record duty cycle corresponding to the target alarm event,The natural constant is represented, wherein the greater the alarm record duty cycle corresponding to the target alarm event after the monitoring accuracy update, or at least the leveling of the historical alarm record duty cycle, the greater the update effectiveness coefficient, because the updated monitoring accuracy is higher, meaning that the system is able to more accurately detect and identify potential anomalies or fault conditions. Thus, an increase in the recording duty cycle of the alarm event may mean that the system more effectively captures driving risk.
Comparing the update effect coefficient of the monitoring terminal with a threshold set by the platform, wherein the threshold set by the platform can be 80% by way of example, the purpose of the setting is to assist in evaluating whether the update effect meets the standard, if the update effect coefficient of the monitoring terminal is greater than or equal to the set threshold, the update effect is evaluated to meet the standard, otherwise, the update effect is evaluated to not meet the standard.
In further implementation, when the estimated update effect does not reach the standard, adjustment processing is performed, specifically as follows: and acquiring the updated monitoring precision corresponding to the target alarm event associated monitoring terminal, comparing the updated monitoring precision with the lower limit precision in the adjustable precision interval corresponding to the monitoring terminal, and if the updated monitoring precision does not reach the lower limit precision, adjusting the updated monitoring precision according to the lower limit precision, otherwise, upgrading and replacing the associated monitoring terminal equipment.
It is to be explained that when the estimated updating effect does not reach the standard, the updating monitoring precision corresponding to the monitoring terminal is compared with the minimum monitoring precision which can be supported by the monitoring terminal, and when the minimum monitoring precision is not reached, the monitoring terminal is adjusted according to the minimum monitoring precision, so that the monitoring terminal can reach the expected monitoring precision requirement through adjustment and optimization, the use efficiency of the existing equipment is further maximized, and unnecessary cost expenditure or equipment replacement is avoided. Upgrades or replacement of equipment are considered when minimum monitoring accuracy has been reached, including replacement with more advanced sensors, replacement with equipment supporting higher resolution or more accurate measurements, or upgrading of data processing and analysis systems, ensuring long term stable operation of the system and meeting future monitoring needs.
The monitoring frequency adjusting module is used for carrying out monitoring frequency demand adjustment on the driving data needing to be collected by the cloud management platform, and the specific adjustment is as follows: and counting the quantity of the running data required to be acquired by the cloud management platform in the running process of the vehicle, and acquiring the monitoring terminals corresponding to the running data.
Acquiring an initial monitoring frequency set by a current cloud management platform, and calculating a demand monitoring frequency corresponding to each driving data by combining the initial monitoring frequency with an alarm relation degree of a monitoring terminal corresponding to each driving data, wherein a calculation formula of the demand monitoring frequency is as follows，The representation is rounded up, and then setting adjustment is carried out according to the required monitoring frequency, wherein the greater the alarm relation degree is, the more frequent the monitoring frequency of the driving data is.
It should be added that the monitoring frequency mentioned in the present invention specifically refers to the monitoring frequency in unit time, for example, the monitoring frequency is 1 minute and 2 times, wherein the larger the monitoring frequency is, the more the monitoring frequency in unit time is, the more frequent the monitoring is.
According to the invention, the monitoring frequency of the driving data is adjusted based on the alarm relation degree of the corresponding monitoring terminal of the driving data, so that potential abnormal conditions or faults can be more accurately captured and identified. By increasing the monitoring frequency corresponding to the traveling data with high alarm relativity, the data can be checked and analyzed more frequently, so that the alarm can be generated earlier when the problem occurs, and the timeliness and the accuracy of the alarm are improved.
The running data real-time acquisition module is used for acquiring the running data according to the adjusted monitoring frequency in the starting running process of the vehicle.
The network transmission state detection module is used for detecting the network transmission state in real time in the starting operation process of the vehicle, specifically comprises network transmission speed and network delay time length, analyzes the network transmission limitation degree, and analyzes the network transmission limitation degree as follows: the network transmission speed and the network delay time length detected in real time are imported into an analysis formulaObtaining the limited degree of network transmissionIn the following、Respectively expressed as network transmission speed and network delay time,、The network transmission speed threshold value and the network delay time length threshold value are respectively expressed, wherein the smaller the network transmission speed is, the longer the network delay time length is, and the larger the network transmission limitation degree is.
Wherein the method comprises the steps of、The acquisition is as follows: and acquiring network bandwidth of the cloud management platform, and further acquiring the maximum network transmission speed and the longest network delay time which can be supported under the network bandwidth, wherein the maximum network transmission speed and the longest network delay time are recorded as a network transmission speed threshold and a network delay time threshold.
By way of example, a communication network bandwidth of 10Mbps corresponds to a normal network delay duration of 10ms.
The reason why the network transmission speed and the network delay time are used as the network transmission state indexes is that the network transmission speed and the delay time are important indexes for evaluating the network performance. The transmission speed directly affects the efficiency and speed of data transmission, while the delay reflects the time required for data transmission in the network. By monitoring these metrics, it can be assessed whether the network transmission reaches an expected performance level.
The driving data transmission limiting module is used for limiting the transmission of the collected driving data based on the network transmission limiting degree.
In the improved implementation of the scheme, transmission limit judgment is needed before the collected running data is subjected to transmission limit based on the network transmission limit degree, and the following process is specifically referred to: comparing the network transmission limitation degree obtained by real-time analysis with a permissible value set by a platform, wherein the permissible value is 0.4 in an exemplary manner, the permissible value set by the platform is initially set, the setting purpose is to assist in judging the transmission limitation, and if the network transmission limitation degree obtained by current time analysis is smaller than or equal to the set permissible value, the judgment does not need to carry out the transmission limitation on the acquired running data, otherwise, the judgment needs to carry out the transmission limitation on the acquired running data.
Further, the transmission limiting operation is performed on the collected driving data as follows: counting the quantity of the driving data to be transmitted at the current moment, and acquiring the occupied space corresponding to each driving data at the current moment and the alarm relation degree of the corresponding monitoring terminal, thereby utilizing the calculation typeObtaining the transmission priority corresponding to each piece of driving dataIn the followingRepresent the firstThe occupied space corresponding to the driving data is provided,Represent the firstThe bar traveling data corresponds to the alarm relatedness of the monitoring terminal,Indicating the number of the running data to be transmitted collected at the current moment,Wherein the smaller the occupied space of the driving data is, the larger the alarm relation degree is, and the larger the transmission priority is.
It should be appreciated that less space for travel data means less time and network bandwidth is required for each transmission. In the case of limited transmission, the system can more quickly transmit small data blocks to a designated location, thereby reducing transmission delay and latency. This contributes to an improvement in the efficiency and response speed of data transmission.
The high alarm involvement generally means that the system is sensitive to data changes or abnormal reactions, requiring rapid acquisition and processing of the relevant data.
And setting transmission sequence according to the transmission priority corresponding to each piece of driving data.
The invention realizes the transmission limitation by setting the transmission sequence of the running data when the network transmission is limited, particularly can sequentially transmit the running data according to the transmission sequence, monitors the network transmission state after each transmission, and uniformly transmits the ordered running data if the network transmission state is recovered to be normal, thereby avoiding the continuous transmission of a large quantity of running data when the network transmission is limited.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (10)
1. The cloud management platform for the active safe driving auxiliary integrated machine is characterized by comprising the following modules:
The historical alarm record classifying module is used for selecting a historical period, further calling an alarm record of the historical period from the cloud management platform before the vehicle is started, extracting alarm events and driving data from the alarm record, further classifying the alarm records corresponding to the same alarm event, and counting the historical alarm record duty ratio corresponding to each alarm event;
The associated monitoring terminal acquisition module is used for acquiring the monitoring terminal corresponding to the corresponding running data based on the running data in the historical alarm records corresponding to the same alarm event, so as to acquire the monitoring terminal associated with each alarm event;
The monitoring precision updating module is used for updating the monitoring precision of the driving monitoring terminal based on the historical alarm record duty ratio corresponding to each alarm event and the monitoring terminal associated with the corresponding alarm event;
The updating effect evaluation processing module is used for retrieving the generated alarm record according to the set evaluation period after updating, so as to evaluate whether the updating effect meets the standard or not and perform adjustment processing when the updating effect is evaluated to be not met;
The monitoring frequency adjusting module is used for adjusting the monitoring frequency requirement of the driving data which needs to be collected by the cloud management platform;
the running data real-time acquisition module is used for acquiring running data according to the adjusted monitoring frequency in the starting and running process of the vehicle;
The network transmission state detection module is used for detecting the network transmission state in real time in the starting operation process of the vehicle and analyzing the network transmission limitation degree;
and the driving data transmission limiting module is used for limiting the transmission of the collected driving data based on the network transmission limiting degree.
2. The active and safe driving assistance all-in-one cloud management platform of claim 1, wherein: before the monitoring precision of the driving monitoring terminal is updated, the updating sequence of the monitoring terminal is required to be set, and the specific operation is as follows:
comparing the monitoring terminals related to each alarm event, classifying the alarm events corresponding to the same monitoring terminal, and counting the number of the alarm events related to each monitoring terminal;
The alarm record duty ratio corresponding to all the alarm events related to each monitoring terminal is selected to be the most value, the maximum value and the minimum value are further subjected to difference, and the difference result is divided by the maximum value to obtain the alarm duty ratio differentiation degree of the alarm events related to each monitoring terminal;
Comparing the alarm duty ratio differentiation degree of each monitoring terminal related to the alarm event with a preset effective differentiation degree, if the alarm duty ratio differentiation degree of a certain monitoring terminal related to the alarm event is smaller than the effective differentiation degree, taking the average value of all alarm record duty ratios of all alarm event related to the monitoring terminal as trend alarm duty ratios corresponding to the monitoring terminal, otherwise taking the median value of all alarm record duty ratios of all alarm event related to the monitoring terminal as trend alarm duty ratios corresponding to the monitoring terminal;
calculating the alarm relation degree corresponding to each monitoring terminal by combining the trend alarm duty ratio corresponding to each monitoring terminal with the associated alarm event number;
and arranging the monitoring terminals in descending order according to the alarm relativity, wherein the arrangement result is the updating sequence of the monitoring terminals.
3. The active and safe driving assistance all-in-one cloud management platform of claim 2, wherein: the process for updating the monitoring precision of the driving monitoring terminal is as follows:
Obtaining product specifications corresponding to all monitoring terminals, and thus obtaining adjustable precision intervals corresponding to all monitoring terminals;
Comparing the alarm relativity corresponding to each monitoring terminal with a threshold set by a platform in sequence according to the updating sequence of the monitoring terminals, identifying that the monitoring terminals need to be updated in monitoring precision if the alarm relativity corresponding to a certain monitoring terminal is greater than the corresponding threshold, and marking the monitoring terminals as target monitoring terminals;
Acquiring the current monitoring precision of a target monitoring terminal, and combining the alarm related degree corresponding to the monitoring terminal to pass through an expression Obtaining the demand monitoring precision of the target monitoring terminalIn the followingIndicating the current monitoring accuracy of the target monitoring terminal,Representing the alarm relation corresponding to the target monitoring terminal;
and comparing the required monitoring precision of the target monitoring terminal with an adjustable precision interval corresponding to the monitoring terminal, if the required monitoring precision of the target monitoring terminal falls into the adjustable precision interval corresponding to the monitoring terminal, updating the monitoring precision of the target monitoring terminal according to the required monitoring precision, otherwise, updating the monitoring precision of the target monitoring terminal according to the lower limit precision in the adjustable precision interval corresponding to the target monitoring terminal.
4. The active and safe driving assistance all-in-one cloud management platform of claim 3, wherein: and evaluating whether the updating effect meets the following operation process:
Extracting an alarm event from the generated alarm record as an alarm event, further extracting a monitoring terminal associated with the alarm event, matching the monitoring terminal with a target monitoring terminal, and screening out the successfully matched alarm event from the monitoring terminal as a target alarm event;
counting the alarm record duty ratio of the target alarm event in the generated alarm records, comparing the alarm record duty ratio with the historical alarm record duty ratio corresponding to the target alarm event, and expressing the alarm record duty ratio by the expression Statistics monitoring terminal update effect coefficient，An alarm record duty cycle representing a target alarm event,Representing a historical alarm record duty cycle corresponding to the target alarm event,Representing natural constants;
comparing the update effect coefficient of the monitoring terminal with a threshold value set by the platform, if the update effect coefficient of the monitoring terminal is larger than or equal to the set threshold value, evaluating that the update effect meets the standard, otherwise, evaluating that the update effect does not meet the standard.
5. The active and safe driving assistance all-in-one cloud management platform of claim 3, wherein: and when the estimated updating effect does not reach the standard, the adjustment treatment is carried out as follows:
And acquiring the updated monitoring precision corresponding to the target alarm event associated monitoring terminal, comparing the updated monitoring precision with the lower limit precision in the adjustable precision interval corresponding to the monitoring terminal, and if the updated monitoring precision does not reach the lower limit precision, adjusting the updated monitoring precision according to the lower limit precision, otherwise, upgrading and replacing the associated monitoring terminal equipment.
6. The active and safe driving assistance all-in-one cloud management platform of claim 2, wherein: the monitoring frequency requirement for the driving data needing to be collected by the cloud management platform is adjusted as follows:
Counting the quantity of running data required to be acquired by the cloud management platform in the running process of the vehicle, and acquiring a monitoring terminal corresponding to each running data;
And acquiring the initial monitoring frequency set by the current cloud management platform, calculating the required monitoring frequency corresponding to each driving data by combining the initial monitoring frequency with the alarm relation degree of the monitoring terminal corresponding to each driving data, and setting and adjusting according to the required monitoring frequency.
7. The active and safe driving assistance all-in-one cloud management platform of claim 1, wherein: the network transmission state includes a network transmission speed and a network delay time.
8. The active and safe driving assistance all-in-one cloud management platform of claim 7, wherein: the analysis network transmission limitation degree is analyzed as follows:
The network transmission speed and the network delay time length detected in real time are imported into an analysis formula Obtaining the limited degree of network transmissionIn the following、Respectively expressed as network transmission speed and network delay time,、Respectively denoted as a network transmission speed threshold and a network delay duration threshold.
9. The active and safe driving assistance all-in-one cloud management platform of claim 1, wherein: the transmission limit judgment is needed before the collected running data is subjected to transmission limit based on the network transmission limit degree, and the following process is specifically referred to:
and comparing the network transmission limited degree obtained by real-time analysis with the allowed value set by the platform, if the network transmission limited degree obtained by current time analysis is smaller than or equal to the set allowed value, judging that the acquired running data is not required to be limited by transmission, otherwise, judging that the acquired running data is required to be limited by transmission.
10. The active and safe driving assistance all-in-one cloud management platform of claim 9, wherein: the operation of transmission limitation on the collected driving data is as follows:
Counting the quantity of the driving data to be transmitted at the current moment, and acquiring the occupied space corresponding to each driving data at the current moment and the alarm relation degree of the corresponding monitoring terminal, thereby utilizing the calculation type Obtaining the transmission priority corresponding to each piece of driving dataIn the followingRepresent the firstThe occupied space corresponding to the driving data is provided,Represent the firstThe bar traveling data corresponds to the alarm relatedness of the monitoring terminal,Indicating the number of the running data to be transmitted collected at the current moment,；
And setting transmission sequence according to the transmission priority corresponding to each piece of driving data.
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