Manhole Cover Monitoring Method and System Based on Cable Channel Safety Control Terminal Data

Abstract

The present invention discloses a manhole cover monitoring method and system based on the data of a cable channel safety control terminal, which relates to a manhole cover monitoring method and system based on the data of a cable channel safety control terminal, constructs manhole cover mapping points; collects and analyzes the human and vehicle flow data in the area, expresses them on a geographical area map, and constructs a flow expression model; divides aggregation blocks; for the manhole covers in the aggregation blocks, analyzes their vibration data, shrinks the aggregation blocks inward to obtain a reference aggregation block, and associates the corresponding manhole cover mapping points to form a reference manhole cover mapping point group; constructs a manhole cover vibration curve, and conducts similarity parameter analysis and variance calculation, and uses the variance as a monitoring warning parameter; if the change amount of the monitoring warning parameter within a unit time reaches or exceeds a preset value, triggers a patrol warning for the reference aggregation block; the present invention improves the efficiency and safety of manhole cover management through intelligent monitoring and analysis, and helps to timely discover and handle potential safety hazards.

Description

Technical Field

[0001] The present invention relates to the technical field of cable channel safety control terminal management, and in particular to a manhole cover monitoring method and system based on cable channel safety control terminal data. Background Art

[0002] With the rapid advancement of urbanization, cable channels are an important part of urban infrastructure, and their safety and stability are crucial to the normal operation of the city. However, the management of cable channel manhole covers has always been a thorny issue. Traditional manhole cover management methods mainly rely on manual inspections, which are not only inefficient, but also difficult to monitor in real time, and cannot promptly detect and handle abnormal manhole cover conditions, such as manhole covers being lost, damaged, or stolen. These problems not only threaten the safety of cable channels, but may also pose safety hazards to pedestrians and vehicles.

[0003] In addition, the number of cable channel manhole covers is large, they are widely distributed, and are affected by multiple factors such as human and vehicle traffic, making the management of manhole covers more complicated. In traditional management methods, due to the lack of effective monitoring methods and data support, managers often find it difficult to accurately judge the status and potential risks of manhole covers, resulting in insufficient scientificity and pertinence in management decisions. Summary of the invention

[0004] The purpose of the present invention is to provide a manhole cover monitoring method and system capable of determining the potential risks of the manhole cover.

[0005] The present invention discloses a manhole cover monitoring method based on cable channel safety management and control terminal data, comprising:

[0006] Obtain a geographical area map where the security control terminal needs to be installed, determine the corresponding position of the manhole cover where the security control terminal is installed on the geographical area map, and mark it as a manhole cover mapping point;

[0007] Obtain the data of people and vehicles flow in the area corresponding to the geographic area map, analyze the data of people and vehicles flow, and dynamically express them on the geographic area map to obtain the flow expression model;

[0008] Perform clustering analysis on human body mapping points and vehicle mapping points in the traffic expression model, and divide the traffic expression model into cluster blocks based on the analysis results;

[0009] Analyze the manhole cover vibration data corresponding to each manhole cover mapping point in the cluster block, and determine the data balancing parameter based on the analysis result, and based on the data balancing parameter, shrink the edge of the cluster block inward to obtain a reference cluster block, and associate the corresponding manhole cover mapping points in the reference cluster block to obtain a reference manhole cover mapping point group;

[0010] The corresponding manhole cover vibration data in the reference manhole cover mapping point group are analyzed, and several manhole cover vibration curves are constructed. The manhole cover vibration curves are randomly combined to obtain a manhole cover vibration curve comparison group. Similar parameter analysis is performed on the manhole cover vibration curves in the manhole cover vibration curve comparison group, and variance calculation is performed on similar parameters of all manhole cover vibration curve comparison groups. The variance is identified as a monitoring warning parameter. If the change in the monitoring warning parameter per unit time is greater than or equal to a preset value, an inspection alarm is issued for the reference cluster block.

[0011] In some embodiments disclosed in the present invention, a method for performing cluster analysis on human body mapping points and vehicle mapping points in a traffic expression model includes:

[0012] Divide the traffic expression model into grids of trigger blocks, collect human body mapping points and vehicle mapping points in the traffic expression model with a preset unit time length as the collection time interval, and make a human body trigger record for the trigger block corresponding to the human body mapping point, and make a vehicle trigger record for the trigger block corresponding to the vehicle mapping point;

[0013] The human trigger frequency and vehicle trigger frequency of each trigger block of the traffic expression model are counted, and based on the human trigger weight pre-configured for the human trigger frequency and the vehicle trigger weight pre-configured for the vehicle trigger frequency, the reference trigger parameter of each trigger block is calculated;

[0014] A number of trigger parameter intervals are set, and the trigger parameter interval to which the reference trigger parameter of each trigger block belongs is determined, and the trigger blocks whose trigger parameter interval is greater than or equal to the preset value are identified as trigger blocks that need attention, and the trigger blocks of interest that are in contact with each other are connected to form a clustered block;

[0015] The expression for calculating the reference trigger parameter of each trigger block is:

[0016] ;

[0017] Among them, F is the reference trigger parameter, Trigger weights for the human body, The trigger frequency of the human body, Trigger weight for the vehicle, The vehicle trigger frequency.

[0018] In some embodiments disclosed in the present invention, the method for determining the data balancing parameter includes:

[0019] Analyze the manhole cover vibration data corresponding to each manhole cover mapping point in the cluster block, determine the average amplitude of each manhole cover mapping point and the amplitude occurrence frequency of the amplitude greater than or equal to the preset amplitude, and record the average amplitude and the amplitude occurrence frequency as a vibration data group;

[0020] The vibration data groups are randomly combined and compared, and based on the comparison results, sub-data balancing parameters are obtained, and based on several sub-data balancing parameters, data balancing parameters are determined.

[0021] In some embodiments disclosed in the present invention, the expression for calculating the data equalization parameter is:

[0022] ;

[0023] Among them, J is the data equalization parameter, is the relative distance between the corresponding manhole cover mapping points of the i-th pair of vibration data participating in the combined comparison, n is the total number of random combined comparisons, Z is the relative distance influence adjustment coefficient, b is the relative distance influence adjustment constant, is the preset maximum amplitude difference, is the average amplitude difference corresponding to the i-th pair of vibration data groups participating in the combined comparison, is the amplitude difference weight adjustment coefficient, The frequency difference of the preset maximum amplitude, is the frequency difference of the corresponding amplitudes of the i-th pair of vibration data sets participating in the combined comparison, It is the weight adjustment coefficient of the amplitude frequency difference.

[0024] In some embodiments disclosed in the present invention, the method for shrinking the edge of the cluster block inward based on the data balancing parameter includes:

[0025] Determine the block area of ​​the cluster block, and determine the distance of the edge of the cluster block to move inward in combination with the data balancing parameter;

[0026] Based on the determined shift distance, a parallel line is drawn inwardly to the edge of the cluster block, and the parallel line is identified as the edge of the cluster block after the edge is narrowed inwardly.

[0027] In some embodiments disclosed in the present invention, the expression for calculating the distance of the edge of the cluster block moving inward is:

[0028] ;

[0029] Where D is the distance that the edge of the cluster block moves inward, and M is the conversion coefficient of the moving distance. is the block area of ​​the clustered block, is the preset block area, is the block area impact adjustment coefficient, c is the block area impact adjustment constant, d is the unit shift distance, and J is the data balancing parameter.

[0030] In some embodiments disclosed in the present invention, a method for performing similarity parameter analysis on a manhole cover vibration curve in a manhole cover vibration curve comparison group includes:

[0031] The vibration curves of the manhole covers are dynamically displaced with each other, and the sum of the longitudinal value differences between the two is calculated in real time. The sum of the longitudinal value differences is identified as the initial similarity parameter, and the smallest initial similarity parameter is selected as the applied similarity parameter.

[0032] In some embodiments disclosed in the present invention, the method for determining the sum of longitudinal value differences of the vibration curve of the manhole cover includes:

[0033] A number of longitudinal value collection points are set for the curve section where the curvature of the vibration curve of the manhole cover after each dynamic dislocation is greater than or equal to a preset value;

[0034] The longitudinal value difference of the curve corresponding to each longitudinal value collection point between the manhole cover vibration curves is calculated, and the sum of all longitudinal value differences is calculated to obtain the sum of longitudinal difference values.

[0035] In some embodiments disclosed in the present invention, a manhole cover monitoring system based on the data of the cable channel safety management and control terminal is also disclosed, including:

[0036] The first module is used to obtain a geographical area map where the security control terminal needs to be installed, determine the corresponding position of the manhole cover where the security control terminal is installed on the geographical area map, and mark it as a manhole cover mapping point;

[0037] The second module is used to obtain the human and vehicle flow data of the area corresponding to the geographical area map, analyze the human and vehicle flow data, and dynamically express them on the geographical area map to obtain the flow expression model;

[0038] The third module is used to perform clustering analysis on human body mapping points and vehicle mapping points in the traffic expression model, and divide the traffic expression model into cluster blocks based on the analysis results;

[0039] The fourth module is used to analyze the manhole cover vibration data corresponding to each manhole cover mapping point in the cluster block, and determine the data balancing parameter based on the analysis result, and based on the data balancing parameter, shrink the edge of the cluster block inward to obtain a reference cluster block, and associate the corresponding manhole cover mapping points in the reference cluster block to obtain a reference manhole cover mapping point group;

[0040] The fifth module is used to analyze the corresponding manhole cover vibration data in the reference manhole cover mapping point group, and construct several manhole cover vibration curves, randomly combine the manhole cover vibration curves to obtain a manhole cover vibration curve comparison group, perform similar parameter analysis on the manhole cover vibration curves in the manhole cover vibration curve comparison group, and calculate the variance of similar parameters in all manhole cover vibration curve comparison groups, and identify the variance as a monitoring warning parameter. If the change in the monitoring warning parameter per unit time is greater than or equal to a preset value, an inspection alarm is issued for the reference cluster block.

[0041] The present invention discloses a manhole cover monitoring method and system based on the data of a cable channel safety management and control terminal, and relates to a manhole cover monitoring method and system based on the data of a cable channel safety management and control terminal, constructing manhole cover mapping points; collecting and analyzing the data of human and vehicle flow in the area, expressing them on a geographical area map, and constructing a flow expression model; dividing cluster blocks; analyzing the vibration data of the manhole covers in the cluster blocks, shrinking the cluster blocks inwards to obtain reference cluster blocks, and associating the corresponding manhole cover mapping points to form a reference manhole cover mapping point group; constructing a manhole cover vibration curve, and performing similar parameter analysis and variance calculation, and using the variance as a monitoring warning parameter; if the change in the monitoring warning parameter within a unit time reaches or exceeds a preset value, a patrol alarm for the reference cluster block is triggered; the present invention improves the efficiency and safety of manhole cover management through intelligent monitoring and analysis, and helps to timely discover and deal with potential safety hazards.

[0042] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a method step diagram of a manhole cover monitoring method based on cable channel safety management and control terminal data disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0044] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0045] The following will be combined with the accompanying drawings and specific embodiments to clearly and completely describe the technical solution of the present invention. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and cannot be understood as limiting the scope of protection of the present invention. Those skilled in the art in this field can make some non-essential improvements and adjustments based on the content of the present invention described below. In the present invention, unless otherwise clearly specified and limited, the technical terms used in the present invention should be the common meanings understood by the technical personnel described in the present invention.

[0046] Example:

[0047] The present invention discloses a manhole cover monitoring method based on cable channel safety management and control terminal data, comprising:

[0048] Step S100, obtain a geographical area map where the security control terminal needs to be installed, determine the corresponding position of the manhole cover where the security control terminal is installed on the geographical area map, and mark it as a manhole cover mapping point.

[0049] The principle of this step is to obtain a map of the geographic area where the safety control terminal needs to be installed through geographic information system (GIS) technology. GIS is a system used to capture, store, inspect, analyze, manage and present all types of geographic data. In this step, technicians will use GIS software to accurately locate and mark the locations of manhole covers where safety control terminals are installed on the geographic area map. These marking points are called manhole cover mapping points, which provide a basic spatial reference for subsequent data analysis and monitoring.

[0050] Step S200, obtaining the human and vehicle flow data of the area corresponding to the geographical area map, analyzing the human and vehicle flow data, and dynamically expressing them on the geographical area map to obtain a flow expression model.

[0051] The principle of this step is to collect data on people and vehicles in the corresponding area of ​​the geographic area map through the Internet of Things (IoT) and data analysis technology. This data can be obtained in real time through sensors, cameras and other equipment installed in the area. The collected data will then be input into the data analysis model, which can process and analyze the data to dynamically express the distribution and flow of people and vehicles on the geographic area map. This dynamic expression helps to identify areas with high density of people or vehicles, providing an important basis for subsequent risk assessment and monitoring.

[0052] Step S300, performing clustering analysis on human body mapping points and vehicle mapping points in the traffic expression model, and dividing the traffic expression model into cluster blocks based on the analysis results.

[0053] The principle of this step is to perform cluster analysis on the human mapping points and vehicle mapping points in the flow expression model based on data analysis technology. This analysis can identify areas with high concentrations of human or vehicle traffic, namely cluster blocks. The division of cluster blocks helps to determine which areas of manhole covers are more susceptible to external factors, such as vandalism or vehicle running over. By focusing on and monitoring these high-risk areas, the targetedness and efficiency of manhole cover management can be improved. Due to the similarities between human and vehicle traffic, the impact and vibration of manhole covers are also expected to show balanced and similar characteristics.

[0054] In some embodiments disclosed in the present invention, a method for performing cluster analysis on human body mapping points and vehicle mapping points in a traffic expression model includes:

[0055] Step S301, grid-divide the traffic expression model into trigger blocks, collect human body mapping points and vehicle mapping points in the traffic expression model with a preset unit time length as the collection time interval, and make a human body trigger record for the trigger block corresponding to the human body mapping point, and make a vehicle trigger record for the trigger block corresponding to the vehicle mapping point.

[0056] First, the traffic expression model is divided into multiple trigger blocks, each of which represents a specific geographical area. By using a preset unit time length (such as every minute, every hour, etc.) as the collection time interval, the data of human mapping points and vehicle mapping points can be continuously and systematically collected. These mapping points represent the locations of pedestrians and vehicles at a specific time. For manhole covers, this step helps to identify which blocks are frequently passed by people or vehicles, so as to preliminarily determine the extent to which the manhole covers may be affected.

[0057] Step S302, statistics are collected on the human trigger frequency and vehicle trigger frequency of each trigger block of the traffic expression model, and based on the human trigger weight pre-configured for the human trigger frequency and the vehicle trigger weight pre-configured for the vehicle trigger frequency, the reference trigger parameters of each trigger block are calculated.

[0058] In each trigger block, the human trigger frequency and vehicle trigger frequency are counted, that is, the number of times pedestrians and vehicles appear in the block. Then, the reference trigger parameters of each trigger block are calculated based on the pre-configured human trigger weights and vehicle trigger weights. These weights reflect the different degrees of impact of human and vehicle flow on manhole covers. For example, vehicles may cause greater physical pressure than pedestrians. By calculating the reference trigger parameters, a quantitative indicator that integrates the impact of human and vehicle flow can be obtained to evaluate the potential risks of manhole covers in different blocks.

[0059] Step S303, setting a number of trigger parameter intervals, determining the trigger parameter interval to which the reference trigger parameter of each trigger block belongs, identifying the trigger blocks whose trigger parameter interval is greater than or equal to the preset value as trigger blocks that need attention, and connecting the trigger blocks of interest that are in contact with each other to form a clustered block.

[0060] Several trigger parameter intervals are set to classify the reference trigger parameters. Trigger blocks with trigger parameter intervals greater than or equal to the preset value are identified as trigger blocks that need attention. The density of pedestrian and vehicle traffic in these blocks is high, which may have a greater impact on the manhole covers. Finally, the contacting trigger blocks of interest are connected to form cluster blocks, which are the focus of monitoring and management. Through the identification of cluster blocks, more targeted measures can be taken, such as strengthening inspections, repairing or replacing manhole covers, etc., to ensure road safety and pedestrian comfort.

[0061] The expression for calculating the reference trigger parameter of each trigger block is:

[0062] .

[0063] Among them, F is the reference trigger parameter, Trigger weights for the human body, The trigger frequency of the human body, Trigger weight for the vehicle, The vehicle trigger frequency.

[0064] Step S400, analyze the manhole cover vibration data corresponding to each manhole cover mapping point in the cluster block, and determine the data balancing parameters based on the analysis results, and based on the data balancing parameters, shrink the edge of the cluster block inward to obtain a reference cluster block, and associate the corresponding manhole cover mapping points in the reference cluster block to obtain a reference manhole cover mapping point group.

[0065] In this step, vibration data is collected in real time by vibration sensors installed on manhole covers. These data are used to analyze the vibration characteristics of manhole covers, especially to evaluate the balanced similarity of vibration of manhole covers in the same cluster block. The data balance parameter is an indicator used to quantify this balanced similarity. If the vibration data of a manhole cover deviates significantly from other manhole covers, it may indicate that the flow of people and vehicles in the area corresponding to the manhole cover is not similar to that of other manhole covers. Based on the data balance parameter, the cluster blocks can be further refined to exclude those manhole covers with dissimilar vibration characteristics, so as to obtain more accurate reference cluster blocks.

[0066] In some embodiments disclosed in the present invention, the method for determining the data balancing parameter includes:

[0067] Step S401, analyzing the manhole cover vibration data corresponding to each manhole cover mapping point in the cluster block, determining the average amplitude of each manhole cover mapping point and the amplitude occurrence frequency of the amplitude greater than or equal to the preset amplitude, and recording the average amplitude and amplitude occurrence frequency as a vibration data group.

[0068] In the clustered block, for each manhole cover mapping point, the corresponding manhole cover vibration data is deeply analyzed. The core of this step is to calculate two key indicators: the average amplitude and the frequency of occurrence of the specific amplitude. The average amplitude reflects the overall intensity of the manhole cover vibration, while the frequency of occurrence of the specific amplitude (that is, the amplitude greater than or equal to the preset amplitude) reveals how often the manhole cover is subjected to high-intensity vibration. These two indicators together constitute the vibration data group, which provides a basis for the subsequent data balance parameter calculation. The principle of this step is that by accurately quantifying the vibration characteristics of the manhole cover, the state of the manhole cover and the degree to which it is affected by the flow of people and vehicles can be more accurately evaluated.

[0069] Step S402, randomly combining and comparing the vibration data groups, and obtaining sub-data balancing parameters based on the comparison results, and determining data balancing parameters based on a plurality of sub-data balancing parameters.

[0070] After obtaining the vibration data groups of each manhole cover mapping point, a random combination comparison is performed. The purpose of this step is to evaluate the balance between them by comparing the vibration data groups of different manhole cover mapping points. During the comparison process, a series of sub-data balance parameters will be calculated, which reflect the distribution and differences of the manhole cover vibration data in the clustered block. Finally, based on these sub-data balance parameters, the overall data balance parameters can be determined. The principle of this step is that through comparison and calculation, the degree of balance of manhole cover vibration in the clustered block can be quantified, thereby providing a scientific basis for subsequent manhole cover management and maintenance. The level of data balance parameters directly reflects the stability and consistency of the manhole cover status, which helps to promptly discover and deal with potential manhole cover problems.

[0071] In some embodiments disclosed in the present invention, the expression for calculating the data equalization parameter is:

[0072] .

[0073] Among them, J is the data equalization parameter, is the relative distance between the corresponding manhole cover mapping points of the i-th pair of vibration data participating in the combined comparison, n is the total number of random combined comparisons, Z is the relative distance influence adjustment coefficient, b is the relative distance influence adjustment constant, is the preset maximum amplitude difference, is the average amplitude difference corresponding to the i-th pair of vibration data groups participating in the combined comparison, is the amplitude difference weight adjustment coefficient, The frequency difference of the preset maximum amplitude, is the frequency difference of the corresponding amplitudes of the i-th pair of vibration data sets participating in the combined comparison, It is the weight adjustment coefficient of the amplitude frequency difference.

[0074] In some embodiments disclosed in the present invention, the method for shrinking the edge of the cluster block inward based on the data balancing parameter includes:

[0075] Step S403, determining the block area of ​​the clustered block, and determining the inward shifting distance of the edge of the clustered block in combination with the data balancing parameter.

[0076] Step S404: based on the determined shift distance, draw parallel lines inwardly to the edge of the cluster block, and identify the parallel lines as the edges of the cluster block after the edges are narrowed inwardly.

[0077] In some embodiments disclosed in the present invention, the expression for calculating the distance of the edge of the cluster block moving inward is:

[0078] .

[0079] Where D is the distance that the edge of the cluster block moves inward, and M is the conversion coefficient of the moving distance. is the block area of ​​the clustered block, is the preset block area, is the block area impact adjustment coefficient, c is the block area impact adjustment constant, d is the unit shift distance, and J is the data balancing parameter.

[0080] Step S500, analyze the corresponding manhole cover vibration data in the reference manhole cover mapping point group, construct a number of manhole cover vibration curves, randomly combine the manhole cover vibration curves to obtain a manhole cover vibration curve comparison group, perform similarity parameter analysis on the manhole cover vibration curves in the manhole cover vibration curve comparison group, and calculate the variance of similar parameters in all manhole cover vibration curve comparison groups, identify the variance as a monitoring warning parameter, and if the change in the monitoring warning parameter within a unit time is greater than or equal to a preset value, then conduct an inspection alarm on the reference cluster block.

[0081] In the reference cluster block, the vibration data of the manhole cover is analyzed to construct the vibration curve of the manhole cover. These curves are used to intuitively show the state change trend of the manhole cover. The variance calculation is to express the degree of change of the comprehensive state of the manhole cover in the reference cluster block. If a manhole cover in the block is abnormal (such as being illegally opened, subjected to strong impact, etc.), its vibration data will change significantly, causing the variance to change in a short time. By setting a preset value, when the variance change reaches or exceeds this value, an inspection alarm will be triggered so that potential safety hazards can be checked and handled in time. The implementation of this step relies on data analysis technology and intelligent early warning mechanism, which can realize real-time monitoring and effective management of the state of the manhole cover.

[0082] In some embodiments disclosed in the present invention, a method for performing similarity parameter analysis on a manhole cover vibration curve in a manhole cover vibration curve comparison group includes:

[0083] Step S501, dynamically displace the vibration curves of the manhole covers relative to each other, and calculate the sum of the longitudinal value differences between the two in real time, and identify the sum of the longitudinal value differences as the initial similarity parameter, and select the smallest initial similarity parameter as the applied similarity parameter.

[0084] In some embodiments disclosed in the present invention, the method for determining the sum of longitudinal value differences of the manhole cover vibration curve includes:

[0085] Step S5011, setting a number of longitudinal value collection points for the curve section where the curvature of the vibration curve of the manhole cover after each dynamic misalignment is greater than or equal to a preset value.

[0086] Step S5012, calculating the longitudinal value difference of the curve corresponding to each longitudinal value collection point between the vibration curves of the manhole cover, and calculating the sum of all longitudinal value differences to obtain the sum of longitudinal difference values.

[0087] In some embodiments disclosed in the present invention, a manhole cover monitoring system based on the data of the cable channel safety management and control terminal is also disclosed, including:

[0088] The first module is used to obtain a geographical area map where the security control terminal needs to be installed, determine the corresponding position of the manhole cover where the security control terminal is installed on the geographical area map, and mark it as a manhole cover mapping point;

[0089] The second module is used to obtain the human and vehicle flow data of the area corresponding to the geographical area map, analyze the human and vehicle flow data, and dynamically express them on the geographical area map to obtain the flow expression model;

[0090] The third module is used to perform clustering analysis on human body mapping points and vehicle mapping points in the traffic expression model, and divide the traffic expression model into cluster blocks based on the analysis results;

[0091] The fourth module is used to analyze the manhole cover vibration data corresponding to each manhole cover mapping point in the cluster block, and determine the data balancing parameter based on the analysis result, and based on the data balancing parameter, shrink the edge of the cluster block inward to obtain a reference cluster block, and associate the corresponding manhole cover mapping points in the reference cluster block to obtain a reference manhole cover mapping point group;

[0092] The fifth module is used to analyze the corresponding manhole cover vibration data in the reference manhole cover mapping point group, and construct several manhole cover vibration curves, randomly combine the manhole cover vibration curves to obtain a manhole cover vibration curve comparison group, perform similar parameter analysis on the manhole cover vibration curves in the manhole cover vibration curve comparison group, and calculate the variance of similar parameters in all manhole cover vibration curve comparison groups, and identify the variance as a monitoring warning parameter. If the change in the monitoring warning parameter per unit time is greater than or equal to a preset value, an inspection alarm is issued for the reference cluster block.

[0093] The present invention discloses a manhole cover monitoring method and system based on the data of a cable channel safety management and control terminal, and relates to a manhole cover monitoring method and system based on the data of a cable channel safety management and control terminal, constructing manhole cover mapping points; collecting and analyzing the data of human and vehicle flow in the area, expressing them on a geographical area map, and constructing a flow expression model; dividing cluster blocks; analyzing the vibration data of the manhole covers in the cluster blocks, shrinking the cluster blocks inwards to obtain reference cluster blocks, and associating the corresponding manhole cover mapping points to form a reference manhole cover mapping point group; constructing a manhole cover vibration curve, and performing similar parameter analysis and variance calculation, and using the variance as a monitoring warning parameter; if the change in the monitoring warning parameter within a unit time reaches or exceeds a preset value, a patrol alarm for the reference cluster block is triggered; the present invention improves the efficiency and safety of manhole cover management through intelligent monitoring and analysis, and helps to timely discover and deal with potential safety hazards.

[0094] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A manhole cover monitoring method based on cable channel safety management and control terminal data, characterized in that: include: Obtain a geographical area map where the security control terminal needs to be installed, determine the corresponding position of the manhole cover where the security control terminal is installed on the geographical area map, and mark it as a manhole cover mapping point; Obtain the data of people and vehicles flow in the area corresponding to the geographic area map, analyze the data of people and vehicles flow, and dynamically express them on the geographic area map to obtain the flow expression model; Perform clustering analysis on human body mapping points and vehicle mapping points in the traffic expression model, and divide the traffic expression model into cluster blocks based on the analysis results; Analyze the manhole cover vibration data corresponding to each manhole cover mapping point in the cluster block, and determine the data balancing parameter based on the analysis result, and based on the data balancing parameter, shrink the edge of the cluster block inward to obtain a reference cluster block, and associate the corresponding manhole cover mapping points in the reference cluster block to obtain a reference manhole cover mapping point group; The corresponding manhole cover vibration data in the reference manhole cover mapping point group are analyzed, and several manhole cover vibration curves are constructed. The manhole cover vibration curves are randomly combined to obtain a manhole cover vibration curve comparison group. Similar parameter analysis is performed on the manhole cover vibration curves in the manhole cover vibration curve comparison group, and variance calculation is performed on similar parameters of all manhole cover vibration curve comparison groups. The variance is identified as a monitoring warning parameter. If the change in the monitoring warning parameter per unit time is greater than or equal to a preset value, an inspection alarm is issued for the reference cluster block.

2. The method for monitoring manhole covers based on the data of the cable channel safety management and control terminal according to claim 1 is characterized in that: The method for performing cluster analysis on human body mapping points and vehicle mapping points in the traffic expression model includes: Divide the traffic expression model into grids of trigger blocks, collect human body mapping points and vehicle mapping points in the traffic expression model with a preset unit time length as the collection time interval, and make a human body trigger record for the trigger block corresponding to the human body mapping point, and make a vehicle trigger record for the trigger block corresponding to the vehicle mapping point; The human trigger frequency and vehicle trigger frequency of each trigger block of the traffic expression model are counted, and based on the human trigger weight pre-configured for the human trigger frequency and the vehicle trigger weight pre-configured for the vehicle trigger frequency, the reference trigger parameter of each trigger block is calculated; A number of trigger parameter intervals are set, and the trigger parameter interval to which the reference trigger parameter of each trigger block belongs is determined, and the trigger blocks whose trigger parameter interval is greater than or equal to the preset value are identified as trigger blocks that need attention, and the trigger blocks of interest that are in contact with each other are connected to form a clustered block; The expression for calculating the reference trigger parameter of each trigger block is: ； Among them, F is the reference trigger parameter, Trigger weights for the human body, The trigger frequency of the human body, Trigger weight for the vehicle, The vehicle trigger frequency.

3. The method for monitoring manhole covers based on the data of the cable channel safety management and control terminal according to claim 1 is characterized in that: Methods for determining data balancing parameters include: Analyze the manhole cover vibration data corresponding to each manhole cover mapping point in the cluster block, determine the average amplitude of each manhole cover mapping point and the amplitude occurrence frequency of the amplitude greater than or equal to the preset amplitude, and record the average amplitude and the amplitude occurrence frequency as a vibration data group; The vibration data groups are randomly combined and compared, and based on the comparison results, sub-data balancing parameters are obtained, and based on several sub-data balancing parameters, data balancing parameters are determined.

4. The method for monitoring manhole covers based on the data of the cable channel safety management and control terminal according to claim 3 is characterized in that: The expression for calculating the data balancing parameter is: ； Among them, J is the data equalization parameter, is the relative distance between the corresponding manhole cover mapping points of the i-th pair of vibration data participating in the combined comparison, n is the total number of random combined comparisons, Z is the relative distance influence adjustment coefficient, b is the relative distance influence adjustment constant, is the preset maximum amplitude difference, is the average amplitude difference corresponding to the i-th pair of vibration data groups participating in the combined comparison, is the amplitude difference weight adjustment coefficient, The frequency difference of the preset maximum amplitude, is the frequency difference of the corresponding amplitudes of the i-th pair of vibration data sets participating in the combined comparison, It is the weight adjustment coefficient of the amplitude frequency difference.

5. The method for monitoring manhole covers based on the data of the cable channel safety management and control terminal according to claim 1 is characterized in that: Based on the data balancing parameter, the method of shrinking the edge of the cluster block inward includes: Determine the block area of ​​the cluster block, and determine the distance of the edge of the cluster block to move inward in combination with the data balancing parameter; Based on the determined shift distance, a parallel line is drawn inwardly to the edge of the cluster block, and the parallel line is identified as the edge of the cluster block after the edge is narrowed inwardly.

6. The method for monitoring manhole covers based on the data of the cable channel safety management and control terminal according to claim 5 is characterized in that: The expression for calculating the distance that the edge of the cluster block moves inward is: ； Where D is the distance that the edge of the cluster block moves inward, and M is the conversion coefficient of the moving distance. is the block area of ​​the clustered block, is the preset block area, is the block area impact adjustment coefficient, c is the block area impact adjustment constant, d is the unit shift distance, and J is the data balancing parameter.

7. The method for monitoring manhole covers based on the data of the cable channel safety management and control terminal according to claim 1 is characterized in that: The method for performing similarity parameter analysis on the manhole cover vibration curves in the manhole cover vibration curve comparison group includes: The vibration curves of the manhole covers are dynamically displaced with each other, and the sum of the longitudinal value differences between the two is calculated in real time. The sum of the longitudinal value differences is identified as the initial similarity parameter, and the smallest initial similarity parameter is selected as the applied similarity parameter.

8. The method for monitoring manhole covers based on the data of the cable channel safety management and control terminal according to claim 7 is characterized in that: The method for determining the sum of the longitudinal value differences of the manhole cover vibration curve includes: A number of longitudinal value collection points are set for the curve section where the curvature of the vibration curve of the manhole cover after each dynamic dislocation is greater than or equal to a preset value; The longitudinal value difference of the curve corresponding to each longitudinal value collection point between the manhole cover vibration curves is calculated, and the sum of all longitudinal value differences is calculated to obtain the sum of longitudinal difference values.

9. The manhole cover monitoring system based on the data of the cable channel safety control terminal is characterized by: include: The first module is used to obtain a geographical area map where the security control terminal needs to be installed, determine the corresponding position of the manhole cover where the security control terminal is installed on the geographical area map, and mark it as a manhole cover mapping point; The second module is used to obtain the human and vehicle flow data of the area corresponding to the geographical area map, analyze the human and vehicle flow data, and dynamically express them on the geographical area map to obtain the flow expression model; The third module is used to perform clustering analysis on human body mapping points and vehicle mapping points in the traffic expression model, and divide the traffic expression model into cluster blocks based on the analysis results; The fourth module is used to analyze the manhole cover vibration data corresponding to each manhole cover mapping point in the cluster block, and determine the data balancing parameter based on the analysis result, and based on the data balancing parameter, shrink the edge of the cluster block inward to obtain a reference cluster block, and associate the corresponding manhole cover mapping points in the reference cluster block to obtain a reference manhole cover mapping point group; The fifth module is used to analyze the corresponding manhole cover vibration data in the reference manhole cover mapping point group, and construct several manhole cover vibration curves, randomly combine the manhole cover vibration curves to obtain a manhole cover vibration curve comparison group, perform similar parameter analysis on the manhole cover vibration curves in the manhole cover vibration curve comparison group, and calculate the variance of similar parameters in all manhole cover vibration curve comparison groups, and identify the variance as a monitoring warning parameter. If the change in the monitoring warning parameter per unit time is greater than or equal to a preset value, an inspection alarm is issued for the reference cluster block.

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