CN118153967B - Safety management system based on engineering survey and drawing - Google Patents
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Abstract
The invention discloses a safety management system based on engineering surveying and mapping, which relates to the technical field of engineering surveying and mapping safety management, wherein monitoring parameters are set through engineering projects and environmental characteristics, and vibration data are collected; then, by comparing the real-time vibration data with the historical vibration data, evaluating the stability and density deviation of the data, and simultaneously analyzing the power supply and connection states to evaluate the state of the monitor; then, comprehensively analyzing and monitoring the frequency stability and the abnormal degree of the power-on state, evaluating the invisible fault risk of the monitor, and dividing the risk level of the monitor according to the invisible fault risk; for high risk situations, immediate isolation measures are taken; for medium risk situations, analyzing and adjusting through a fault processing module; for low-risk equipment, the maintenance adjustment module periodically evaluates risk conditions and adjusts the monitoring frequency and the maintenance strategy to reduce potential risks; the accuracy and stability of vibration monitoring can be effectively ensured, and the safety of engineering surveying and mapping is guaranteed to the greatest extent.
Description
Technical Field
The invention relates to the technical field of engineering mapping safety management, in particular to a safety management system based on engineering mapping.
Background
Safety management of engineering surveying and mapping refers to taking a series of measures and management means to ensure personal safety, equipment safety and environmental safety in engineering surveying and mapping process when various surveying and mapping engineering activities are carried out. The method comprises the steps of carrying out safety assessment and planning on a mapping site, training the knowledge and skills of staff on safety operation, providing necessary safety equipment, making emergency plans and other measures so as to reduce the risk of accidents.
In certain engineering mapping activities, such as using drills, blasting, etc., large vibrations may be generated that may affect surrounding buildings, pipelines, etc. The vibration monitor can monitor and record the intensity and frequency of vibration, help staff evaluate the extent of influence of vibration on the surrounding environment, and take necessary control measures to reduce potential damage risks.
Vibration monitors play a critical role in the safety management of engineering surveying and mapping. The main purpose of the system is to monitor and record the intensity, frequency and duration of vibrations generated during engineering activities to evaluate the extent of the effect of vibrations on surrounding structures, pipelines and the like. Through real-time monitoring vibration data, staff can in time know the influence of engineering activities on the surrounding environment to take necessary control measures, such as adjustment working mode, reduction operation intensity, increase buffering measures and the like, so as to reduce potential damage risks. The vibration monitor is not only beneficial to protecting the safety of surrounding structures, but also helps to avoid accidents and ensure the safety and reliability of engineering surveying and mapping activities.
The defects in the prior art are that:
In the prior art, when carrying out engineering survey and drawing's safety control, evaluate the influence degree of vibration to structures such as surrounding building, pipeline through vibration monitor. If the vibration monitor is in the working condition for a long time, the abrasion and aging of the internal components of the vibration monitor can be caused, the vibration monitor can have a hidden fault, and when the vibration monitor has the hidden fault, the hidden fault can cause the vibration monitor to give out false alarms or missed alarms. If the vibration monitor erroneously recognizes normal vibration as an abnormal situation and issues an alarm, unnecessary countermeasures may be taken by the staff, wasting resources and time. In contrast, if the vibration monitor fails to detect an actual vibration out of standard or abnormal condition, a major accident may occur.
Invisible faults inside the vibration monitor mean that the equipment has problems or damages to internal components or systems under the condition that the surface looks normal, but the problems are not easily perceived or identified directly. This situation may lead to inaccurate or missing monitoring data, and even false alarms or missed alarms, which in turn affect the safety and reliability of engineering mapping activities.
Disclosure of Invention
The invention aims to provide a safety management system based on engineering surveying and mapping, which aims to solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: a safety management system based on engineering surveying and mapping comprises a vibration monitor real-time monitoring module, a data comparison analysis module, a comprehensive analysis module, a vibration monitor isolation module, a fault processing module and a maintenance adjustment module;
Vibration monitor real-time monitoring module: according to the characteristics of engineering surveying and mapping projects and surveying and mapping environments, determining the monitoring position of the vibration monitor, setting the monitoring parameters of the vibration monitor according to specific engineering surveying and mapping activities, monitoring the vibration condition of surrounding structures in real time through the vibration monitor, and collecting vibration data recorded by the vibration monitor;
And the data comparison and analysis module is used for: comparing and analyzing vibration data recorded by the vibration monitor within a fixed time interval with historical vibration data monitored by the vibration monitor, judging the data density deviation condition between the vibration data monitored by the vibration monitor in real time and the historical vibration data, and evaluating the stability of the vibration monitor in real time; analyzing the power supply and connection state of the vibration monitor, and evaluating the abnormal degree of the power-on state of the vibration monitor;
And the comprehensive analysis module is used for: comprehensively analyzing the stability of the monitoring frequency of the vibration monitor and the abnormal degree of the power-on state of the vibration monitor, evaluating the risk of the invisible faults of the vibration monitor, and dividing the vibration monitor into high-risk equipment, medium-risk equipment and low-risk equipment according to the evaluation result;
Vibration monitor isolation module: for the vibration monitor with high risk, immediately stopping the operation of the vibration monitor and isolating the vibration monitor so as to prevent the vibration monitor from continuously monitoring vibration data;
And a fault processing module: when the vibration monitor is at medium risk, analyzing real-time monitoring data of the vibration monitor and data when an alarm is triggered, judging whether the invisible faults of the vibration monitor are accidental or not according to whether the vibration monitor accurately gives the alarm, slightly adjusting the vibration monitor if the invisible faults are accidental or not, and closing the vibration monitor to carry out fault maintenance if the invisible faults are not accidental or not;
And a maintenance adjustment module: and when the vibration monitor is at low risk, periodically evaluating the risk condition of the vibration monitor, and adjusting the monitoring frequency and the maintenance strategy according to the evaluation result so as to reduce the potential risk.
In a preferred embodiment, in the data comparison analysis module, vibration data recorded by the vibration monitor within a fixed time interval is compared with historical vibration data monitored by the vibration monitor, a data density outlier index is obtained according to a data density deviation condition between the vibration data monitored by the vibration monitor in real time and the historical vibration data, and stability of the vibration monitor in real time is evaluated according to the data density outlier index.
In a preferred embodiment, the method for obtaining the data density outlier index is as follows:
Vibration data are obtained in real time through a vibration monitor, the vibration data are divided into n groups according to a time sequence, a vibration data set is established for any one group of vibration data, and the vibration data set X= { is established 、、、...、、...、And } wherein, i=1, 2,3 once again, the number n,Is a positive integer greater than 0,As a data point with m features,={、、、...、}；
Determining a K value for each data pointCalculate it and the data pointDistance between them,)=; In the method, in the process of the invention,AndRepresenting data points respectivelyAndThe value on the L-th feature; distance [ ],) Representing data pointsAndThe Euclidean distance between the two data points, m represents the characteristic quantity of each data point;
for each data point Determining K nearest neighbors, calculating the density, namely the average distance between the K nearest neighbors, and the specific calculation expression is as follows: density of%)=; In the density%) Representing data pointsIs used for the density of the (c) in the (c),Expressed in data pointsAll data points in the neighborhood with the radius of K are centered; for each data pointCalculating a data density outlier index: lf=; Where LF is the data density outlier index.
In a preferred embodiment, the grounding condition of the vibration monitor is analyzed, the abnormal degree of the power-on state of the vibration monitor is evaluated, and the fluctuation deviation value of the grounding voltage is obtained in real time according to the grounding voltage data of the vibration monitor.
In a preferred embodiment, the method for obtaining the differential value of the ground voltage fluctuation is as follows:
Acquiring grounding voltage data of the vibration monitor in s time period, and establishing a grounding voltage data set ={、、、...、、...、And } wherein, i=1, 2,3 once again, the number n,Is a positive integer greater than 0;
performing exponentially weighted moving average calculation on the grounding voltage data to obtain the grounding voltage data when the current time is t as follows And a weighted moving average over time t-1The calculation expression of the weighted moving average at time t is: ; in the method, in the process of the invention, A weighted moving average of t time, and alpha is a smoothing coefficient;
calculating a weighted moving average calculated in real time And the current ground voltage valueThe difference value between the two is calculated, namely, the fluctuation deviation value of the ground voltage is calculated, and the specific calculation expression is as follows:= ; in the method, in the process of the invention, Is the ground voltage fluctuation bias value.
In a preferred embodiment, in the comprehensive analysis module, the stability of the monitoring frequency of the vibration monitor and the abnormal degree of the power-on state of the vibration monitor are comprehensively analyzed, and the risk of the occurrence of the invisible fault of the vibration monitor is evaluated, specifically:
And carrying out normalization processing on the data density outlier index and the ground voltage fluctuation deviation value, and calculating a risk coefficient of the vibration monitor with the invisible fault through the normalized data density outlier index and the ground voltage fluctuation deviation value.
In a preferred embodiment, comparing the acquired risk coefficient of the vibration monitor for the invisible fault with a gradient risk threshold, wherein the gradient risk threshold comprises a first risk threshold and a second risk threshold, the first risk threshold is smaller than the second risk threshold, and comparing the risk coefficient of the vibration monitor for the invisible fault with the first risk threshold and the second risk threshold respectively;
If the risk coefficient of the invisible fault of the vibration monitor is larger than a second risk threshold, dividing the risk coefficient into high-risk devices; if the risk coefficient of the invisible faults of the vibration monitor is larger than or equal to the first risk threshold value and smaller than or equal to the second risk threshold value, dividing the risk coefficient into medium risk devices; if the risk coefficient of the invisible fault of the vibration monitor is smaller than the first risk threshold, the vibration monitor is divided into low-risk devices.
In a preferred embodiment, in the vibration monitor isolation module, it is necessary to analyze whether the vibration monitor accurately gives an alarm to determine whether its stealth fault is accidental, specifically:
calculating an average value of vibration data from vibration data at an alarm trigger time, the average value of vibration data representing an average level of vibration level monitored at the alarm trigger time, the calculation expression being: = ; wherein, Is vibration data monitored at the moment of alarm triggering,Is the number of data points,Is the average of the vibration data;
Calculating an average value of the real-time monitoring data from the current real-time monitoring data, wherein the average value of the real-time monitoring data represents the average level of the vibration level monitored at the current moment, and the calculation expression is as follows: = ; wherein, Is vibration data monitored in real-time,Number of data points that are vibration data monitored in real timeThe average value of the real-time monitoring data;
According to the average value of the vibration data and the average value of the real-time monitoring data, calculating the difference between the vibration data at the moment of triggering the alarm and the moment of real-time monitoring, wherein the difference is used for evaluating the accuracy of the alarm, and the specific calculation expression is as follows: = ; in the method, in the process of the invention, Is an alarm error coefficient;
Comparing the acquired alarm error coefficient with an error standard threshold value, and if the alarm error coefficient is smaller than the error standard threshold value, considering that the alarm is accurate; if the alarm error coefficient is greater than or equal to the error standard threshold, the alarm is considered to be inaccurate, and further equipment maintenance is needed.
In a preferred embodiment, in the maintenance adjustment module, the vibration monitor is a low-risk device, the risk condition of the vibration monitor is periodically evaluated, when the risk coefficient of the invisible fault of the vibration monitor generated in a period of time is greater than or equal to the risk coefficient standard threshold value of the invisible fault, a data set is built by the risk coefficients of a plurality of invisible faults generated in a subsequent period of time, and the abnormal coefficient of the vibration monitor is calculated after the risk coefficients of the invisible faults in the data set are compared with the risk coefficient standard threshold value.
In a preferred embodiment, the set risk coefficient standard threshold value of the invisible faults is SND, and the set risk coefficient of the invisible faults generated by the vibration monitor in a period of time is q= {、、、...、、...、A = 1, 2,3,..z,Is a positive integer greater than 0, wherein z is the number of risk factors of the generated stealth fault; calculating an average value of risk coefficients of invisible faults generated by the vibration monitor in a period of time, wherein a specific calculation expression is as follows: qvg =; Qvg is the average value of risk coefficients of invisible faults, and calculates abnormal coefficients of the vibration monitor, wherein a specific calculation expression is as follows:= ; in the method, in the process of the invention, The abnormal coefficient of the vibration monitor;
Comparing the obtained abnormal coefficient of the vibration monitor with an abnormal reference threshold, and generating an early warning signal at the moment if the abnormal coefficient of the vibration monitor is larger than or equal to the abnormal reference threshold, wherein the monitoring frequency and the maintenance strategy need to be adjusted in time to reduce the potential risk; if the abnormal coefficient of the vibration monitor is smaller than the abnormal reference threshold, no early warning signal is generated at the moment, and the running state of the vibration monitor is continuously monitored.
In the technical scheme, the invention has the technical effects and advantages that:
1. According to the invention, the stability and the power-on state of the vibration monitor are systematically evaluated by comprehensively utilizing the real-time monitoring module, the data comparison analysis module and the comprehensive analysis module of the vibration monitor, so that the operation condition of the vibration monitor can be comprehensively known. By dividing the vibration monitor into high, medium and low risk devices, different management measures can be adopted according to the risk degree, so that various risks caused by invisible faults of the vibration monitor are reduced.
2. According to the invention, the real-time monitoring data of the medium-risk vibration monitor is analyzed through the fault processing module, so that the invisible faults can be found timely. Whether the fault happens or not can be judged, the real abnormality and the false alarm condition can be distinguished, and the reliability and the accuracy of monitoring are improved. The fault problem of the vibration monitor is effectively solved by adopting targeted slight adjustment or closing maintenance measures, the interference of faults on monitoring work is reduced, and the monitoring efficiency and the data accuracy are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a block diagram of a system according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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.
Example 1
Referring to fig. 1 and 2, the safety management system based on engineering mapping according to the present embodiment includes a vibration monitor real-time monitoring module, a data comparison analysis module, a comprehensive analysis module, a vibration monitor isolation module, a fault processing module and a maintenance adjustment module;
Vibration monitor real-time monitoring module: according to the characteristics of engineering surveying and mapping projects and surveying and mapping environments, determining the monitoring position of the vibration monitor, setting the monitoring parameters of the vibration monitor according to specific engineering surveying and mapping activities, monitoring the vibration condition of surrounding structures in real time through the vibration monitor, and collecting vibration data recorded by the vibration monitor;
And the data comparison and analysis module is used for: comparing and analyzing vibration data recorded by the vibration monitor within a fixed time interval with historical vibration data monitored by the vibration monitor, judging the data density deviation condition between the vibration data monitored by the vibration monitor in real time and the historical vibration data, and evaluating the stability of the vibration monitor in real time; analyzing the power supply and connection state of the vibration monitor, and evaluating the abnormal degree of the power-on state of the vibration monitor;
And the comprehensive analysis module is used for: comprehensively analyzing the stability of the monitoring frequency of the vibration monitor and the abnormal degree of the power-on state of the vibration monitor, evaluating the risk of the invisible faults of the vibration monitor, and dividing the vibration monitor into high-risk equipment, medium-risk equipment and low-risk equipment according to the evaluation result;
Vibration monitor isolation module: for the vibration monitor with high risk, immediately stopping the operation of the vibration monitor and isolating the vibration monitor so as to prevent the vibration monitor from continuously monitoring vibration data;
And a fault processing module: when the vibration monitor is at medium risk, analyzing real-time monitoring data of the vibration monitor and data when an alarm is triggered, judging whether the invisible faults of the vibration monitor are accidental or not according to whether the vibration monitor accurately gives the alarm, slightly adjusting the vibration monitor if the invisible faults are accidental or not, and closing the vibration monitor to carry out fault maintenance if the invisible faults are not accidental or not;
And a maintenance adjustment module: and when the vibration monitor is at low risk, periodically evaluating the risk condition of the vibration monitor, and adjusting the monitoring frequency and the maintenance strategy according to the evaluation result so as to reduce the potential risk.
Wherein, in vibration monitor real-time supervision module, according to engineering survey and drawing project and survey and drawing environmental characteristics, confirm vibration monitor's monitoring position, specifically do:
And analyzing the properties, the range and the characteristics of construction activities of engineering mapping projects. Investigation and mapping environment including surrounding building, pipeline, topography and the like. Surrounding structures such as buildings, pipelines, etc. are identified and classified and evaluated. Different types of structures, such as high-rise buildings, bridges, pipelines and the like, are distinguished, and a monitoring strategy is determined according to the characteristics of the structures. Vibration sensitivity analysis is performed on different types of structures, and the sensitivity degree and bearing capacity of the structures to vibration are known. And evaluating the response condition of the structure to vibration by considering the factors such as the material, foundation type, height and the like of the structure. And selecting a position suitable for placing the vibration monitor according to the results of project analysis and environment investigation. Monitoring points close to engineering surveying and mapping activity areas are preferentially selected, so that monitoring data can accurately reflect vibration influences generated by the activities. And the stable and smooth ground or building surface is selected as a monitoring position, so that the stability and the accuracy of the vibration monitor are ensured. Safety factors are considered to ensure that the monitored location does not pose a safety risk to the surrounding environment and personnel. Checking whether the selected monitoring location meets the requirements of the relevant regulations and standards ensures compliance. The selected monitoring position is marked, and the position and the number of the monitoring point are defined. And installing a vibration monitor and debugging equipment to ensure normal operation.
According to specific engineering survey and drawing activity, set up the monitoring parameter of vibration monitor, through the vibration condition of vibration monitor real-time supervision structure thing around, collect the vibration data of vibration monitor record, specifically do:
According to engineering survey and drawing project and survey and drawing environment's characteristics, select suitable monitoring position, select near, the position that receives vibration influence greatly from engineering activity area generally. These locations should represent typical of surrounding structures, pipelines, etc.
According to specific engineering mapping activities, monitoring parameters of the vibration monitor are set, including monitoring time periods, sampling frequencies, vibration trigger thresholds and the like. The setting of these parameters should be effective in capturing the vibration conditions created by the engineering activity. The vibration monitor is placed in a previously determined monitoring position and secured firmly and reliably to the ground or other supporting structure. The vibration monitor should be properly oriented to the structure to be monitored and maintained at a proper height.
Starting a vibration monitor to start monitoring the vibration condition of surrounding structures in real time. The monitor automatically records vibration data, including information about the amplitude, frequency, duration, etc. of the vibration. During engineering mapping activities, vibration conditions are continuously monitored, ensuring continuity and integrity of data. The monitor can automatically monitor according to preset parameters and record collected vibration data.
Vibration monitors record vibration data that is monitored in real time, typically stored in digital form in an internal memory or external storage device. These data can be used for subsequent analysis and evaluation. In the monitoring process, the running state of the vibration monitor is checked regularly to ensure the normal operation of the vibration monitor. Meanwhile, the monitoring instrument is cleaned and maintained in time so as to ensure the accuracy and reliability of data.
And the data comparison and analysis module is used for: comparing and analyzing vibration data recorded by the vibration monitor within a fixed time interval with historical vibration data monitored by the vibration monitor, judging the data density deviation condition between the vibration data monitored by the vibration monitor in real time and the historical vibration data, and evaluating the stability of the vibration monitor in real time; and analyzing the grounding condition of the vibration monitor, and evaluating the abnormal degree of the power-on state of the vibration monitor.
And comparing the vibration data recorded by the vibration monitor in the current time period with the previously stored historical vibration data. The historical data may be collected under similar conditions, such as vibration data at the same location, under the same engineering activity.
And comparing the data density deviation condition between the current vibration data and the historical data. Including differences in vibration amplitude, frequency, duration, etc. If the vibration pattern of the current data is similar to the historical data, the monitoring system may be considered to be in a steady state.
And according to the data density deviation condition, evaluating the stability of real-time monitoring data of the vibration monitor. If the real-time data is consistent with the historical data, the monitoring system is normally operated, and the data stability is high; if obvious deviation exists, the monitoring system is indicated to have abnormality or fault, and the data stability is low.
Acquiring a data density outlier index according to the data density deviation condition between vibration data and historical vibration data monitored in real time by a vibration monitor, and evaluating the stability of the vibration monitor real-time monitoring data according to the data density outlier index, wherein the acquisition method of the data density outlier index comprises the following steps:
Vibration data are obtained in real time through a vibration monitor, the vibration data are divided into n groups according to a time sequence, and a vibration data set is established for any one group of vibration data, wherein the vibration data set X= { is formed 、、、...、、...、And } wherein, i=1, 2,3 once again, the number n,Is a positive integer greater than 0,As a data point with m features,={、、、...、}；
Determining K value based on empirical or cross-validation techniques, etc., for each data pointCalculate it and other data pointsThe distance between the two is calculated by using the Euclidean distance calculation formula: distance [ ],)=; In the method, in the process of the invention,AndRepresenting data points respectivelyAndThe value on the L-th feature; distance [ ],) Representing data pointsAndThe Euclidean distance between the two data points, wherein m represents the characteristic quantity or dimension of each data point;
for each data point Determining K nearest neighbors, calculating the density, namely the average distance between the K nearest neighbors, and the specific calculation expression is as follows: density of%)=; In the density%) Representing data pointsIs used for the density of the (c) in the (c),Expressed in data pointsAll data points in the neighborhood with the radius of K are centered; for each data pointCalculating a data density outlier index: lf=; Where LF is the data density outlier index.
The larger the data density outlier index is, the larger the data density deviation between the vibration data monitored by the vibration monitor in real time and the historical vibration data is, namely, the vibration data recorded by the vibration monitor has more anomalies compared with the past vibration mode. This may suggest that the vibration monitor is in a stealth fault or abnormal condition, resulting in that the vibration data it records is inconsistent with the actual situation. Thus, the greater the data density outlier index, the higher the risk of a vibration monitor developing a stealth fault, and further inspection and maintenance may be required to ensure the accuracy and reliability of the monitored data.
Analyzing the grounding condition of the vibration monitor, evaluating the abnormal degree of the energizing state of the vibration monitor, and acquiring the grounding voltage fluctuation deviation value in real time according to the grounding voltage data of the vibration monitor, wherein the acquiring method of the grounding voltage fluctuation deviation value is as follows:
the parameters of the exponentially weighted moving average are set, including the smoothing coefficient α, typically ranging between 0 and 1.
Acquiring grounding voltage data of the vibration monitor in s time period, and establishing a grounding voltage data set={、、、...、、...、And } wherein, i=1, 2,3 once again, the number n,Is a positive integer greater than 0;
performing exponentially weighted moving average calculation on the grounding voltage data to obtain the grounding voltage data when the current time is t as follows And a weighted moving average over time t-1The calculation expression of the weighted moving average at time t is: ; in the method, in the process of the invention, A weighted moving average of t time, and alpha is a smoothing coefficient;
calculating a weighted moving average calculated in real time And the current ground voltage valueThe difference value between the two is calculated, namely, the fluctuation deviation value of the ground voltage is calculated, and the specific calculation expression is as follows:= ; in the method, in the process of the invention, Is the ground voltage fluctuation bias value.
The larger the fluctuation deviation value of the grounding voltage is, the more unstable the grounding condition of the vibration monitor is, and the problems of poor grounding, change of grounding resistance and the like can be caused. In this case, the vibration monitor may be subjected to more electrical interference, resulting in the accuracy and stability of the monitored data being affected. Therefore, the larger the ground voltage fluctuation deviation value is, the higher the risk of the invisible fault of the vibration monitor is, and the timely overhaul and maintenance are needed to ensure the reliability and the accuracy of the monitoring data.
And the comprehensive analysis module is used for: and comprehensively analyzing the stability of the monitoring frequency of the vibration monitor and the abnormal degree of the power-on state of the vibration monitor, evaluating the risk of the occurrence of invisible faults of the vibration monitor, and dividing the vibration monitor into high-risk equipment, medium-risk equipment and low-risk equipment according to the evaluation result.
And carrying out normalization processing on the data density outlier index and the ground voltage fluctuation deviation value, and calculating a risk coefficient of the vibration monitor with the invisible fault through the normalized data density outlier index and the ground voltage fluctuation deviation value.
For example, the invention can calculate the risk coefficient of the invisible fault of the vibration monitor by adopting the following formula:= ; in the method, in the process of the invention, As risk factors, LF is a data density outlier index,For the ground voltage fluctuation bias value,To update the frequency drift index and monitor the proportionality coefficient of the efficiency fluctuation value, and0；
According to the calculation expression, the data density outlier index and the ground voltage fluctuation deviation value are in a direct proportion relation with the risk coefficient, and the risk coefficient is gradually increased along with the increase of the data density outlier index and the ground voltage fluctuation deviation value, and the risk of the invisible fault of the vibration monitor is also increased along with the increase of the data density outlier index and the ground voltage fluctuation deviation value.
Comparing the acquired risk coefficient of the invisible faults of the vibration monitor with a gradient risk threshold, wherein the gradient risk threshold comprises a first risk threshold and a second risk threshold, the first risk threshold is smaller than the second risk threshold, and the risk coefficient of the invisible faults of the vibration monitor is respectively compared with the first risk threshold and the second risk threshold;
If the risk coefficient of the invisible faults of the vibration monitor is larger than the second risk threshold, the risk coefficient of the invisible faults of the vibration monitor is higher, the vibration monitor is divided into high-risk devices, and the operation of the vibration monitor needs to be stopped immediately and detailed overhaul and maintenance are performed. Replacement of parts or repair of problems that may exist may be required until proper operation is ensured;
If the risk coefficient of the invisible faults of the vibration monitor is larger than or equal to the first risk threshold and smaller than or equal to the second risk threshold, the risk coefficient of the invisible faults of the vibration monitor is indicated to be possibly found, and the vibration monitor is divided into medium risk devices, and the risk coefficient is higher but does not reach the degree that the operation needs to be stopped immediately. At this time, preventive measures such as regular inspection and maintenance of the monitor can be taken to ensure that the monitor is in a good working state and timely respond to any abnormal situation;
If the risk coefficient of the invisible faults of the vibration monitor is smaller than the first risk threshold, the risk of the invisible faults of the vibration monitor is lower, the vibration monitor is divided into low-risk equipment, the risk of the low-risk equipment is lower, and normal operation can be continued. Periodic checks and maintenance are still required to ensure reliability and stability of the device while handling in time in the event of any anomalies.
In this embodiment, the real-time monitoring module of the vibration monitor is responsible for determining the monitoring position according to engineering mapping projects and environmental characteristics, setting monitoring parameters, and collecting vibration data of surrounding structures. The data comparison analysis module compares the real-time monitoring data with the historical data, evaluates the stability and density deviation condition of the data, simultaneously analyzes the power supply and connection states, and evaluates the abnormal degree of the power-on state of the equipment. And finally, comprehensively considering the monitoring frequency stability and the abnormal degree of the power-on state of the equipment by the comprehensive analysis module, evaluating the risk of the invisible faults of the vibration monitor, and dividing the equipment risk level according to the risk. The vibration monitor is divided into high-risk equipment and medium-risk equipment, and low-risk equipment is managed and maintained in a targeted manner, so that the reliability and stability of the equipment are improved to the greatest extent, and potential risks and losses are reduced. Through effective safety management measures, the loss and cost caused by potential structural damage or safety accidents can be reduced, and meanwhile, the efficiency and sustainable development capability of engineering surveying and mapping projects are improved.
Example 2
Vibration monitor isolation module: for the vibration monitor with high risk, immediately stopping the operation of the vibration monitor and isolating the vibration monitor so as to prevent the vibration monitor from continuously monitoring vibration data;
For vibration monitors that are evaluated as high risk, their operation needs to be stopped immediately to prevent them from continuing to collect vibration data. Isolating the high risk vibration monitor from other equipment or systems prevents it from continuing to monitor the vibration of surrounding structures.
And a fault processing module: when the vibration monitor is at medium risk, real-time monitoring data of the vibration monitor and data when an alarm is triggered are analyzed, whether the invisible faults of the vibration monitor are accidental or not is judged according to whether the vibration monitor accurately gives an alarm, if yes, the vibration monitor is slightly adjusted, and if not, the vibration monitor is closed for fault maintenance.
In the vibration monitor isolation module, whether the vibration monitor accurately gives an alarm is required to be analyzed so as to judge whether the invisible faults of the vibration monitor are accidental, specifically:
An average value of the vibration data is calculated from the vibration data at the alarm trigger time, the average value of the vibration data representing an average level of the vibration level monitored at the alarm trigger time. The computational expression is: = ; wherein, Is vibration data monitored at the moment of alarm triggering,Is the number of data points,Is the average of the vibration data;
And calculating an average value of the real-time monitoring data from the current real-time monitoring data, wherein the average value of the real-time monitoring data represents the average level of the vibration level monitored at the current moment. The computational expression is: = ; wherein, Is vibration data monitored in real-time,Number of data points that are vibration data monitored in real timeThe average value of the real-time monitoring data;
According to the average value of the vibration data and the average value of the real-time monitoring data, calculating the difference between the vibration data at the moment of triggering the alarm and the moment of real-time monitoring, wherein the difference is used for evaluating the accuracy of the alarm, and the specific calculation expression is as follows: = ; in the method, in the process of the invention, Is an alarm error coefficient.
Comparing the acquired alarm error coefficient with an error standard threshold value, and if the alarm error coefficient is smaller than the error standard threshold value, considering that the alarm is accurate; if the alarm error coefficient is greater than or equal to the error standard threshold, the alarm is considered to be inaccurate, and further equipment maintenance is needed.
It should be noted that, the error standard threshold is set by those skilled in the art according to the specific situation, and will not be described herein.
And a maintenance adjustment module: and when the vibration monitor is at low risk, periodically evaluating the risk condition of the vibration monitor, and adjusting the monitoring frequency and the maintenance strategy according to the evaluation result so as to reduce the potential risk.
In the maintenance adjustment module, the vibration monitor is low-risk equipment, the risk condition of the vibration monitor is periodically evaluated, when the risk coefficient of the invisible faults of the vibration monitor generated in a period of time is larger than or equal to the risk coefficient standard threshold value of the invisible faults, a data set is established for the risk coefficients of a plurality of invisible faults generated in a subsequent period of time, and the risk coefficients of the invisible faults in the data set are compared with the risk coefficient standard threshold value for analysis, and then the abnormal coefficients of the vibration monitor are calculated.
The set risk coefficient standard threshold value of the invisible faults is SND, and the risk coefficient set of the invisible faults generated by the vibration monitor in a period of time is Q= {、、、...、、...、A = 1, 2,3,..z,Is a positive integer greater than 0, where z is the number of risk factors for the generated stealth fault. Calculating an average value of risk coefficients of invisible faults generated by the vibration monitor in a period of time, wherein a specific calculation expression is as follows: qvg =; Wherein qvg is an average value of risk coefficients of invisible faults, abnormal coefficients of the vibration monitor are calculated, and a specific calculation expression is as follows:= ; in the method, in the process of the invention, Is an anomaly coefficient of the vibration monitor.
Comparing the obtained abnormal coefficient of the vibration monitor with an abnormal reference threshold, and generating an early warning signal if the abnormal coefficient of the vibration monitor is larger than or equal to the abnormal reference threshold, wherein the early warning signal indicates that the vibration monitor with low risk possibly has abnormality, the vibration monitor possibly has abnormality in monitoring vibration data, and the monitoring frequency and maintenance strategy need to be adjusted in time so as to reduce the potential risk; if the abnormal coefficient of the vibration monitor is smaller than the abnormal reference threshold, no early warning signal is generated at the moment, and the vibration monitor with low risk is in a normal monitoring state and continuously monitors the running state of the vibration monitor.
In this embodiment, for vibration monitors with high risk, measures are taken to immediately stop operation and isolate to ensure that vibration data is not further affected. And analyzing real-time data of the vibration monitor through the fault processing module under the condition of medium risk, judging whether an invisible fault occurs or not, and adjusting or closing according to the condition to maintain. For low-risk equipment, the risk condition is periodically evaluated through a maintenance adjustment module, and the monitoring frequency and the maintenance strategy are adjusted to reduce the potential risk. The system can comprehensively manage the safety of the vibration monitor, and ensure that the influence degree of the vibration on surrounding structures is accurately and reliably estimated.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application 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 application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (2)
1. A safety management system based on engineering survey and drawing, characterized in that: the system comprises a vibration monitor real-time monitoring module, a data comparison analysis module, a comprehensive analysis module, a vibration monitor isolation module, a fault processing module and a maintenance adjustment module;
Vibration monitor real-time monitoring module: according to the characteristics of engineering surveying and mapping projects and surveying and mapping environments, determining the monitoring position of the vibration monitor, setting the monitoring parameters of the vibration monitor according to specific engineering surveying and mapping activities, monitoring the vibration condition of surrounding structures in real time through the vibration monitor, and collecting vibration data recorded by the vibration monitor;
And the data comparison and analysis module is used for: comparing and analyzing vibration data recorded by the vibration monitor within a fixed time interval with historical vibration data monitored by the vibration monitor, judging the data density deviation condition between the vibration data monitored by the vibration monitor in real time and the historical vibration data, and evaluating the stability of the vibration monitor in real time; analyzing the power supply and connection state of the vibration monitor, and evaluating the abnormal degree of the power-on state of the vibration monitor;
Comparing and analyzing vibration data recorded by a vibration monitor in a fixed time interval with historical vibration data monitored by the vibration monitor, acquiring a data density outlier index according to the data density deviation condition between the vibration data monitored by the vibration monitor in real time and the historical vibration data, and evaluating the stability of the vibration monitor in real time according to the data density outlier index;
The data density outlier index acquisition method comprises the following steps:
vibration data are obtained through a vibration monitor, the vibration data are divided into n groups according to a time sequence, a vibration data set is established for any one group of vibration data, and the vibration data set X= { is established 、、、...、、...、And } wherein, i=1, 2,3 once again, the number n,Is a positive integer greater than 0,As a data point with m features,={、、、...、}；
Determining a K value for each data pointCalculate it and the data pointDistance between them,)=; In the method, in the process of the invention,AndRepresenting data points respectivelyAndThe value on the L-th feature; distance [ ],) Representing data pointsAndThe Euclidean distance between the two data points, m represents the characteristic quantity of each data point;
for each data point Determining K nearest neighbors, calculating the density of the nearest neighbors, namely the average distance between the nearest neighbors and the K nearest neighbors, wherein the specific calculation expression is as follows: density of%)=; In the density%) Representing data pointsIs used for the density of the (c) in the (c),Calculating a data density outlier index: lf=; Wherein LF is a data density outlier index;
analyzing the grounding condition of the vibration monitor, evaluating the abnormal degree of the power-on state of the vibration monitor, and acquiring the fluctuation deviation value of the grounding voltage in real time according to the grounding voltage data of the vibration monitor;
the method for acquiring the fluctuation deviation value of the grounding voltage comprises the following steps:
acquiring ground voltage data of the vibration monitor in the W time period, and establishing a ground voltage data set ={、、、...、、...、And } wherein, i=1, 2,3 once again, the number n,Is a positive integer greater than 0;
performing exponentially weighted moving average calculation on the grounding voltage data to obtain the grounding voltage data when the current time is t as follows And a weighted moving average over time t-1The calculation expression of the weighted moving average at time t is: ; in the method, in the process of the invention, A weighted moving average of t time, and alpha is a smoothing coefficient;
calculating a weighted moving average calculated in real time And the current ground voltage valueThe difference value between the two is calculated, namely, the fluctuation deviation value of the ground voltage is calculated, and the specific calculation expression is as follows:= ; in the method, in the process of the invention, Is the ground voltage fluctuation bias value;
And the comprehensive analysis module is used for: the stability of real-time monitoring data of the vibration monitor and the abnormal degree of the energizing state of the vibration monitor are comprehensively analyzed, and the risk of invisible faults of the vibration monitor is evaluated, specifically: normalizing the data density outlier index and the ground voltage fluctuation deviation value, and calculating a risk coefficient of the vibration monitor with invisible faults through the normalized data density outlier index and the ground voltage fluctuation deviation value;
dividing the vibration monitor into high-risk equipment, medium-risk equipment and low-risk equipment according to the evaluation result;
Vibration monitor isolation module: for the vibration monitor with high risk, immediately stopping the operation of the vibration monitor and isolating the vibration monitor so as to prevent the vibration monitor from continuously monitoring vibration data;
and a fault processing module: when the vibration monitor is at medium risk, analyzing real-time monitoring data of the vibration monitor and data when an alarm is triggered, judging whether the invisible faults of the vibration monitor are accidental or not according to whether the vibration monitor accurately gives the alarm, if yes, adjusting the vibration monitor, and if not, closing the vibration monitor for fault maintenance;
whether the vibration monitor accurately gives an alarm is analyzed so as to judge whether the invisible faults of the vibration monitor are accidental or not, specifically:
calculating an average value of vibration data from vibration data at an alarm trigger time, the average value of vibration data representing an average level of vibration level monitored at the alarm trigger time, the calculation expression being: = ; wherein, Is vibration data monitored at the moment of alarm triggering,Is the number of data points of the vibration data monitored at the moment of alarm triggering,Is the average of the vibration data;
Calculating an average value of the real-time monitoring data from the current real-time monitoring data, wherein the average value of the real-time monitoring data represents an average level of vibration levels monitored in real time, and the calculation expression is as follows: = ; wherein, Is vibration data monitored in real-time,Is the number of data points of vibration data monitored in real time,The average value of the real-time monitoring data;
According to the average value of the vibration data at the alarm triggering moment and the average value of the vibration data monitored in real time, the difference between the alarm triggering moment and the vibration data monitored in real time is calculated and used for evaluating the accuracy of the alarm, and a specific calculation expression is as follows: = ; in the method, in the process of the invention, Is an alarm error coefficient;
Comparing the acquired alarm error coefficient with an error standard threshold value, and if the alarm error coefficient is smaller than the error standard threshold value, considering that the alarm is accurate; if the alarm error coefficient is greater than or equal to the error standard threshold, the alarm is considered to be inaccurate, and further equipment maintenance is needed;
And a maintenance adjustment module: when the vibration monitor is at low risk, periodically evaluating the risk condition of the vibration monitor, and adjusting the monitoring frequency and the maintenance strategy according to the evaluation result so as to reduce the potential risk;
when the risk coefficient of the invisible faults of the vibration monitor generated in a period of time is larger than or equal to the risk coefficient standard threshold value of the invisible faults, a data set is established for the risk coefficients of a plurality of invisible faults generated in a subsequent period of time, and the risk coefficients of the invisible faults in the data set are compared with the risk coefficient standard threshold value for analysis, and then the abnormal coefficients of the vibration monitor are calculated;
The set risk coefficient standard threshold value of the invisible faults is SND, and the risk coefficient set of the invisible faults generated by the vibration monitor in a period of time is Q= { 、、、...、、...、A = 1, 2,3,..z,Is a positive integer greater than 0, wherein z is the number of risk factors of the generated stealth fault; calculating an average value of risk coefficients of invisible faults generated by the vibration monitor in a period of time, wherein a specific calculation expression is as follows: qvg =; Qvg is the average value of risk coefficients of invisible faults, and calculates abnormal coefficients of the vibration monitor, wherein a specific calculation expression is as follows:= ; in the method, in the process of the invention, The abnormal coefficient of the vibration monitor;
Comparing the obtained abnormal coefficient of the vibration monitor with an abnormal reference threshold, and generating an early warning signal at the moment if the abnormal coefficient of the vibration monitor is larger than or equal to the abnormal reference threshold, wherein the monitoring frequency and the maintenance strategy need to be adjusted in time to reduce the potential risk; if the abnormal coefficient of the vibration monitor is smaller than the abnormal reference threshold, no early warning signal is generated at the moment, and the running state of the vibration monitor is continuously monitored.
2. An engineering survey based security management system of claim 1 wherein: the comprehensive analysis module compares the acquired risk coefficient of the invisible faults of the vibration monitor with a gradient risk threshold, wherein the gradient risk threshold comprises a first risk threshold and a second risk threshold, the first risk threshold is smaller than the second risk threshold, and the risk coefficient of the invisible faults of the vibration monitor is respectively compared with the first risk threshold and the second risk threshold;
If the risk coefficient of the invisible fault of the vibration monitor is larger than a second risk threshold, dividing the risk coefficient into high-risk devices; if the risk coefficient of the invisible faults of the vibration monitor is larger than or equal to the first risk threshold value and smaller than or equal to the second risk threshold value, dividing the risk coefficient into medium risk devices; if the risk coefficient of the invisible fault of the vibration monitor is smaller than the first risk threshold, the vibration monitor is divided into low-risk devices.
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