Power transmission line fault monitoring system and method

Abstract

The invention discloses a power transmission line fault monitoring system and method, and relates to the technical field of power transmission line fault monitoring, and the system comprises a target region data acquisition and analysis module, a weather data acquisition and analysis module, a sensing equipment deployment module, an edge sensor deployment module, a power transmission line data acquisition and analysis module, and an early warning terminal. Firstly, a target area is divided into areas according to terrain data, weather factors and sensing device deployment distances of the areas are obtained through analysis, sensing devices are deployed, whether edge servers of the areas need to be provided with signal enhancement devices or spare edge servers or not is analyzed, deployment positions are obtained, and deployment is completed. The problem of limitation in the current power transmission line fault monitoring process is solved, comprehensive and objective analysis of power transmission line fault monitoring is realized, and the reliability and authenticity of a power transmission line fault monitoring analysis result are guaranteed.

Description

Technical Field

[0001] The present application relates to the technical field of power transmission line fault monitoring, and in particular to a power transmission line fault monitoring system and method. Background Art

[0002] Transmission lines play a vital role in the use of electricity, ensuring that electricity can be transmitted to various power consumption points efficiently and stably; however, due to the influence of various natural and human factors, transmission lines often fail, resulting in power supply interruptions and bringing inconvenience to production and life; therefore, transmission line fault monitoring is particularly important.

[0003] Prior art, such as the invention application patent with announcement number: CN111413592A, discloses a transmission line fault monitoring system, including a positioning monitoring terminal, a transceiver, an alarm, a PLC controller, a memory, a display and an Ethernet interface module; the positioning monitoring terminal is communicatively connected to the transceiver; the transceiver is communicatively connected to the PLC controller; the PLC controller is communicatively connected to the alarm, the memory and the display respectively; the PLC controller is connected to a cloud server via an Ethernet interface module; the cloud server is communicatively connected to a web terminal and a mobile terminal respectively. The present invention proposes a transmission line fault monitoring system, which monitors and displays the fault point by setting a positioning monitoring terminal, so as to facilitate timely finding of the fault area and narrow the search range; and by sending the fault information to the mobile terminal, it is convenient to notify the fault information for timely response.

[0004] With respect to the above scheme, the inventors of the present application have found that the above technology has at least the following technical problems: 1. Currently, there is a lack of regional division of the target area based on terrain data, and thus it is impossible to analyze the deployment of various sensor equipment in the transmission line according to the weather factors of each region, thereby being unable to more accurately understand the actual situation of the transmission line, and at the same time, it is impossible to ensure the comprehensiveness and authenticity of the transmission line fault detection and analysis process, and thus it is impossible to ensure the reference and accuracy of the analysis results.

[0005] 2. Currently, there is a lack of judgment on whether the edge servers in each area need to install signal enhancement equipment or deploy backup edge servers based on the dense distribution of sensor equipment in each area. At the same time, each area is not divided into sub-areas, and the required number of edge servers in each sub-area cannot be obtained. Edge servers and backup edge servers are not deployed in each sub-area of ​​each area. The actual situation of the transmission line cannot be truly displayed, and the accuracy of the analysis of the transmission line cannot be guaranteed, which reduces the effect of transmission line fault detection to a certain extent. Summary of the invention

[0006] In view of the above-mentioned technical deficiencies, the purpose of this application is to provide a transmission line fault monitoring system and method.

[0007] In order to solve the above technical problems, the present application adopts the following technical solutions: In the first aspect, the present application provides a transmission line fault monitoring system, the method comprising the following modules: a target area data acquisition and analysis module, used to obtain a transmission line map of the target area, the transmission line map including the three-dimensional direction of the transmission line and the terrain data of the target area, and then divide the target area into various areas according to the terrain data of the target area in the transmission line map, and obtain the terrain height corresponding to each area of ​​the target area.

[0008] The weather data acquisition and analysis module is used to acquire weather data of each region and then analyze the weather factors of each region.

[0009] The sensor equipment deployment module is used to obtain the standard deployment distance of the sensor equipment in each area in the database according to the terrain height of each area, extract the weather factors of each area, and then analyze and obtain the deployment distance of the sensor equipment in each area, so as to deploy each sensor equipment in each area and obtain the deployment position of each sensor equipment in each area.

[0010] The edge sensor deployment module is used to obtain the dense distribution of sensor devices in each area, determine whether the edge server in each area needs to install signal enhancement equipment or deploy backup edge servers; at the same time, divide each area into sub-areas to obtain the required number of edge servers in each sub-area; and deploy each edge server and backup edge server in each sub-area of ​​each area, and obtain the deployment location of each edge server and backup edge server in each area of ​​each area.

[0011] The transmission line data acquisition and analysis module is used for each sensor device to transmit each sensor data to the edge server, and then analyze and obtain the evaluation coefficient of each sensor data of each sensor device, so as to determine whether the sensor data of each sensor device is abnormal.

[0012] The early warning terminal is used to transmit the sensor data of a sensor device and the deployment location in the sub-area of ​​the area corresponding to the sensor device to the central server for early warning when the edge server determines that the sensor data of a sensor device is abnormal.

[0013] Preferably, the analysis obtains the sensor equipment deployment distance of each area, so as to deploy each sensor equipment in each area and obtain the deployment position of each sensor equipment in each area. The specific analysis process is as follows: A1. Compare the weather factor of each area with the sensor weather factor threshold in the database. When the weather factor of a certain area is less than the sensor weather factor threshold in the database, it is judged that the weather in the area has no effect on the transmission range of the sensor equipment, and then the standard deployment distance corresponding to the sensor equipment in the area is used as the sensor equipment deployment distance of the area, so as to mark the deployment position of each sensor equipment in the transmission line map according to the sensor equipment deployment distance of the area, and complete the deployment of the sensor equipment in the area.

[0014] A2. When the weather factor of a certain area is greater than or equal to the sensor weather factor threshold in the database, it is determined that the weather in the area has an impact on the transmission range of the sensor equipment, and then the sensor equipment transmission distance impact value corresponding to the weather factor in the area is obtained from the weather impact table in the database, so as to obtain the sensor equipment deployment distance in the area by multiplying the standard deployment distance of the sensor equipment in the area by the sensor equipment transmission distance impact value in the area, and mark the deployment position of each sensor equipment in the transmission line map according to the sensor equipment deployment distance in the area to complete the deployment of the sensor equipment in the area.

[0015] Preferably, the judgment as to whether the edge servers in each area need to install signal enhancement equipment or deploy backup edge servers is performed in the following manner: the weather factors of each area are compared with the lower and upper limits of the signal weather factors in the database. When the weather factor of an area is less than the lower limit of the signal weather factor in the database, it is judged that the edge servers in the area do not need to install signal enhancement equipment; when the weather factor of an area is greater than the lower limit of the signal weather factor in the database and less than the upper limit, it is judged that the edge servers in the area only need to install signal enhancement equipment; when the weather factor of an area is greater than the upper limit of the signal weather factor in the database, it is judged that the edge servers in the area need to install signal enhancement equipment and deploy backup edge servers.

[0016] Preferably, each area is divided into sub-areas, and the required number of edge servers for each sub-area is obtained. The specific division process is as follows: according to the dense distribution of sensor equipment in each area in the power transmission line map, the dense distribution points of each sensor equipment in each area are obtained, and then the dense distribution points of each sensor equipment in each area are used as the center points of the corresponding sub-areas, so as to divide each area into sub-areas and obtain the number of sensor equipment in each sub-area in each area; according to the number of sensor equipment in each sub-area, the required number of edge servers corresponding to each sub-area is extracted from the database.

[0017] Preferably, each edge server and a backup edge server are deployed in each sub-area of ​​each area, and the deployment location of each edge server and a backup edge server in each area of ​​each area is obtained. The specific deployment process is as follows: B1. When a backup edge server needs to be deployed in a certain area, a backup edge server is deployed at the central location of the area.

[0018] B2. When the number of edge servers required in a sub-region of a region is 1, the location of the edge servers deployed in the sub-region of the region is calculated by the K-media algorithm according to the deployment location of each sensor device in the sub-region of the region.

[0019] B3. When the number of edge servers required in a sub-area of ​​a certain area is greater than 1, the number of edge servers required is recorded as N, and then the first edge server is deployed in the central area where the sensor devices of the sub-area of ​​the area are most densely deployed, so as to deploy N-1 edge servers one by one around the first edge server in the form of increasing set distances, and obtain the locations of each edge server deployed in the sub-area of ​​the area.

[0020] In a second aspect, the present application provides a fault monitoring method for a transmission line fault monitoring system, comprising the following steps: Step 1, target area data acquisition and analysis: Acquire a transmission line map of the target area, the transmission line map including the three-dimensional direction of the transmission line and terrain data of the target area, and then divide the target area into various areas according to the terrain data of the target area in the transmission line map, and obtain the terrain height corresponding to each area of ​​the target area.

[0021] Step 2: Acquisition and analysis of weather data: Acquire weather data for each region, and then analyze the weather factors for each region.

[0022] Step 3: Sensor equipment deployment: Obtain the standard deployment distance of sensor equipment in each area from the database according to the terrain height of each area, extract the weather factors of each area, and then analyze and obtain the deployment distance of sensor equipment in each area, so as to deploy each sensor equipment in each area and obtain the deployment position of each sensor equipment in each area.

[0023] Step 4: Edge sensor deployment: Obtain the dense distribution of sensor devices in each area, and determine whether the edge servers in each area need to install signal enhancement equipment or deploy backup edge servers; at the same time, divide each area into sub-areas, and obtain the required number of edge servers in each sub-area; and deploy each edge server and backup edge server in each sub-area of ​​each area, and obtain the deployment location of each edge server and backup edge server in each area of ​​each area.

[0024] Step 5: Acquisition and analysis of transmission line data: Each sensor device transmits each sensor data to the edge server, and then analyzes and obtains the evaluation coefficient of each sensor data of each sensor device, so as to determine whether the sensor data of each sensor device is abnormal.

[0025] Step 6, early warning terminal: When the edge server determines that a certain sensor data of a certain sensor device is abnormal, the sensor data of the sensor device and the deployment location in the sub-area of ​​the area corresponding to the sensor device are transmitted to the central server for early warning.

[0026] The beneficial effects of the present application are as follows: 1. A power transmission line fault monitoring system and method provided by the present application first divides the target area into various regions according to terrain data, analyzes weather factors and the deployment distance of sensor equipment in each region, and deploys various sensor equipment, and then analyzes whether the edge server in each region needs to install signal enhancement equipment or deploy backup edge servers, so as to obtain the deployment location and complete the deployment, which solves the limitations existing in the current power transmission line fault monitoring process, realizes the comprehensiveness and objectivity of the transmission line fault monitoring analysis, and ensures the reliability and authenticity of the transmission line fault monitoring analysis results.

[0027] 2. The sensing equipment in this application includes sensors such as voltage sensors, current sensors and temperature sensors. The comprehensive and accurately deployed sensing equipment can comprehensively monitor various operating parameters of the transmission line, ensure the stability and real-time of data transmission, and can quickly obtain monitoring data and identify abnormal data, thereby improving the accuracy and efficiency of transmission line fault monitoring. The data is transmitted to the central server through each edge server for early warning, and the operation and maintenance personnel are notified in time to carry out maintenance, thereby improving the reliability and stability of the transmission line and bringing users a safer and more stable power supply.

[0028] 3. This application obtains the standard deployment distance of the sensor equipment in each area in the database according to the terrain height of each area, and then obtains the deployment distance of the sensor equipment in each area according to the weather factor analysis of each area, so as to deploy each sensor equipment in each area and obtain the deployment position of each sensor equipment in each area to ensure the stability of the data in each area; deploys each edge server and backup edge server in each sub-area of ​​each area to ensure that the data of each sensor equipment can be transmitted from the edge server to the central server in real time, thereby ensuring the comprehensiveness of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 This is a schematic diagram of the system structure connection for this application.

[0031] Figure 2 The figure is a flowchart of the implementation steps of the present application method. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0033] See also Figure 1 As shown, the present application provides a transmission line fault monitoring system in the first aspect, including a target area data acquisition and analysis module, a weather data acquisition and analysis module, a sensor equipment deployment module, an edge sensor deployment module, a transmission line data acquisition and analysis module and an early warning terminal.

[0034] The target area data acquisition and analysis module is used to obtain the transmission line map of the target area. The transmission line map includes the three-dimensional direction of the transmission line and the terrain data of the target area. The target area is then divided into various areas according to the terrain data of the target area in the transmission line map, and the terrain height corresponding to each area of ​​the target area is obtained.

[0035] It should be noted that the transmission line map of the target area is obtained during the power line project.

[0036] In a specific example, the target area is divided into various areas according to the terrain data of the target area in the transmission line map, and the terrain height corresponding to each area of ​​the target area is obtained. The specific division process is as follows: the terrain data includes terrain height, slope and landform characteristics. The regional division standard is extracted from the database according to the different terrain characteristics in the target area, and the height range and slope grade of the regional division standard are used as the regional division boundary, and the target area is divided into various areas, and the terrain height corresponding to each area of ​​the target area is obtained.

[0037] It should be noted that dividing the area with low terrain height change into one area facilitates the deployment of sensor equipment and edge servers.

[0038] The weather data acquisition and analysis module is used to acquire weather data of each region and then analyze the weather factors of each region.

[0039] It should be noted that the weather data of each region is obtained from the weather data network of the corresponding region, and each weather data includes average wind speed, average rainfall and average lightning amount, etc.

[0040] In a specific example, the weather factors of each region are obtained by analysis. The specific analysis process is as follows: the weather data of each region are respectively recorded as T ij , where i represents the number corresponding to each area, i=1,2,......,n, n represents the total number of areas, and n represents a natural integer greater than or equal to 2; where j represents the number corresponding to each weather data, j=1,2,......,m, m represents the total number of weather data, and m represents a natural integer greater than or equal to 2.

[0041] According to the calculation formula Get the weather factor λ of the target area i , where T j ′ represents the reference value of each weather data in the database, ΔT j It is represented by the allowed floating value of each weather data in the database, σ j It is expressed as the correction factor corresponding to each weather data in the database.

[0042] It should be noted that 0<σ i <1.

[0043] It should be noted that the correction factor corresponding to each weather data is a numerical factor multiplied by the uncorrected measurement result to correct the error in the weather data calculation, which is obtained through factor analysis.

[0044] The sensor equipment deployment module is used to obtain the standard deployment distance of the sensor equipment in each area in the database according to the terrain height of each area, extract the weather factors of each area, and then analyze and obtain the deployment distance of the sensor equipment in each area, so as to deploy each sensor equipment in each area and obtain the deployment position of each sensor equipment in each area.

[0045] It should be noted that the sensor equipment is combined with sensors corresponding to various data required in the transmission line detection process, such as pressure sensors, current sensors, voltage sensors, temperature sensors and lightning sensors.

[0046] In a specific example, the analysis obtains the sensor equipment deployment distance of each area, thereby deploying each sensor equipment in each area, and obtaining the deployment position of each sensor equipment in each area. The specific analysis process is as follows: A1. Compare the weather factors of each area with the sensor weather factor threshold in the database. When the weather factor of a certain area is less than the sensor weather factor threshold in the database, it is judged that the weather in the area has no effect on the transmission range of the sensor equipment, and then the standard deployment distance corresponding to the sensor equipment in the area is used as the sensor equipment deployment distance of the area, so as to mark the deployment position of each sensor equipment in the transmission line map according to the sensor equipment deployment distance of the area, and complete the deployment of the sensor equipment in the area.

[0047] A2. When the weather factor of a certain area is greater than or equal to the sensor weather factor threshold in the database, it is determined that the weather in the area has an impact on the transmission range of the sensor equipment, and then the sensor equipment transmission distance impact value corresponding to the weather factor in the area is obtained from the weather impact table in the database, so as to obtain the sensor equipment deployment distance in the area by multiplying the standard deployment distance of the sensor equipment in the area by the sensor equipment transmission distance impact value in the area, and mark the deployment position of each sensor equipment in the transmission line map according to the sensor equipment deployment distance in the area to complete the deployment of the sensor equipment in the area.

[0048] It should be noted that the transmission distance influence value of the sensor device is greater than 0 and less than or equal to 1.

[0049] The sensing equipment in this application includes sensors such as voltage sensors, current sensors and temperature sensors. The comprehensive and accurately deployed sensing equipment can comprehensively monitor various operating parameters of the transmission line, ensure the stability and real-time performance of data transmission, quickly obtain monitoring data and identify abnormal data, improve the accuracy and efficiency of transmission line fault monitoring, and transmit data to the central server through each edge server for early warning, promptly notify operation and maintenance personnel to carry out maintenance, improve the reliability and stability of the transmission line, and bring users a safer and more stable power supply.

[0050] The edge sensor deployment module is used to obtain the dense distribution of sensor devices in each area, determine whether the edge server in each area needs to install signal enhancement equipment or deploy backup edge servers; at the same time, divide each area into sub-areas to obtain the required number of edge servers in each sub-area; and deploy each edge server and backup edge server in each sub-area of ​​each area, and obtain the deployment location of each edge server and backup edge server in each area of ​​each area.

[0051] It should be noted that the sensor devices in each area are densely distributed in each area and the power transmission line map is obtained after the sensor devices are marked.

[0052] In a specific example, the determination of whether the edge servers in each area need to install signal enhancement equipment or deploy backup edge servers is performed as follows: the weather factors of each area are compared with the lower and upper limits of the signal weather factors in the database. When the weather factor of an area is less than the lower limit of the signal weather factor in the database, it is determined that the edge servers in the area do not need to install signal enhancement equipment; when the weather factor of an area is greater than the lower limit of the signal weather factor in the database and less than the upper limit, it is determined that the edge servers in the area only need to install signal enhancement equipment; when the weather factor of an area is greater than the upper limit of the signal weather factor in the database, it is determined that the edge servers in the area need to install both signal enhancement equipment and backup edge servers.

[0053] In a specific example, each area is divided into sub-areas, and the required number of edge servers for each sub-area is obtained. The specific division process is as follows: according to the dense distribution of sensor equipment in each area in the power transmission line map, the dense distribution points of each sensor equipment in each area are obtained, and then the dense distribution points of each sensor equipment in each area are used as the center points of the corresponding sub-areas, so as to divide each area into sub-areas and obtain the number of sensor equipment in each sub-area in each area; according to the number of sensor equipment in each sub-area, the required number of edge servers corresponding to each sub-area is extracted from the database.

[0054] It should be noted that the dense distribution of sensor devices in the transmission line diagram can be completed by image analysis technology.

[0055] It should be noted that the densely distributed point of the sensor devices is represented as the center point of the densely distributed sensor devices.

[0056] In a specific example, each edge server and a backup edge server are deployed in each sub-area of ​​each area, and the deployment location of each edge server and a backup edge server in each area of ​​each area is obtained. The specific deployment process is as follows: B1. When a backup edge server needs to be deployed in a certain area, a backup edge server is deployed at the central location of the area.

[0057] B2. When the number of edge servers required in a sub-region of a region is 1, the location of the edge servers deployed in the sub-region of the region is calculated by the K-media algorithm according to the deployment location of each sensor device in the sub-region of the region.

[0058] B3. When the number of edge servers required in a sub-area of ​​a certain area is greater than 1, the number of edge servers required is recorded as N, and then the first edge server is deployed in the central area where the sensor devices of the sub-area of ​​the area are most densely deployed, so as to deploy N-1 edge servers one by one around the first edge server in the form of increasing set distances, and obtain the locations of each edge server deployed in the sub-area of ​​the area.

[0059] It should be noted that the backup edge server can monitor all sensor devices in the area, so it is deployed in the center of each area.

[0060] It should be noted that when there is only one edge server in a sub-area, the K-media algorithm can be used to find a location in the sub-area so that the sum of the distances between this location and the deployment locations of each sensor device in the sub-area is minimized, so that the location of the edge server can accurately receive the data of each sensor device.

[0061] It should be noted that when the number of edge servers required in a sub-area of ​​a certain area is greater than 1, the first edge server is deployed as the center point in the central area where the sensor devices of the sub-area are most densely deployed, and N-1 edge servers are deployed one by one around the first edge server in the form of set increasing distances. For example, the second edge server is 20 meters away from the first edge server, and the third edge server is 50 meters away from the first edge server, etc., so that the edge servers are evenly distributed in the densely deployed locations of the sensors in the sub-area to ensure the integrity of the data.

[0062] It should be noted that the backup edge server has been installed with signal enhancement equipment, which can receive data transmitted by various sensor devices in the area.

[0063] It should be noted that when a sub-area has only one edge server and the data reception amount of the edge server reaches the upper limit, the sensor device of the sub-area transmits the data to the backup edge server of the area corresponding to the sub-area; when a sub-area has N edge servers, when the data reception amount of an edge server in the sub-area reaches the upper limit, the sensor device of the sub-area transmits the data to the remaining edge servers of the sub-area; when the data reception amount of each edge server in the sub-area reaches the upper limit, the sensor device of the sub-area transmits the data to the backup edge server of the area corresponding to the sub-area.

[0064] It should be noted that the K-media algorithm is a clustering algorithm that aims to find a point (media point) such that the sum of the distances between it and other points is minimized; when it is necessary to calculate the sum of the minimum distances between multiple points, the K-media algorithm can be executed on each point, or it can be expanded to the case of K media points.

[0065] It should be noted that the location of the edge server deployed in the sub-area of ​​the area is calculated. The calculation process is such as taking the deployment location of each sensor device in the sub-area of ​​the area as the initial media point, assigning each initial media point to the media point with the shortest distance to form K clusters, calculating the mean of all points in the cluster, and repeating the assignment and calculation until the location of the media point no longer changes significantly.

[0066] The transmission line data acquisition and analysis module is used for each sensor device to transmit each sensor data to the edge server, and then analyze and obtain the evaluation coefficient of each sensor data of each sensor device, so as to determine whether the sensor data of each sensor device is abnormal.

[0067] In a specific example, the analysis obtains the evaluation coefficient of each sensor data of each sensor device. The specific analysis process is as follows: the sensor data of each sensor device is recorded as G xy , where x represents the number corresponding to each sensor, x=1,2,...,b, b represents the total number of sensor devices, and b represents a natural integer greater than or equal to 2; where y represents the number corresponding to each sensor data, y=1,2,...,d, d represents the total number of sensor data, and d represents a natural integer greater than or equal to 2.

[0068] According to the calculation formula The evaluation coefficient β of each sensor data of each sensor device is obtained xy , where G′ y It is represented as the reference value corresponding to each sensor data of the sensor device in the database, ΔG y It is represented by the allowable floating value corresponding to each sensor data of the sensor device in the database, ω y It is represented as the correction factor corresponding to each sensor data of the sensor device in the database.

[0069] It should be noted that 0<ω y <1.

[0070] It should be noted that the correction factor corresponding to each sensor data is the error calculated for the sensor data, and the digital factor multiplied by the uncorrected measurement result is obtained through factor analysis.

[0071] In a specific example, the process of determining whether the sensor data of each sensor device is abnormal is as follows: comparing the sensor data evaluation coefficient of each sensor device with the sensor data evaluation coefficient threshold in the database; when a sensor data evaluation coefficient of a sensor device is greater than or equal to the sensor data evaluation coefficient threshold in the database, it is determined that the sensor data of the sensor device is abnormal; otherwise, it is determined that the sensor data of the sensor device is not abnormal.

[0072] This application obtains the standard deployment distance of the sensor equipment in each area in the database according to the terrain height of each area, and then obtains the deployment distance of the sensor equipment in each area according to the weather factor analysis of each area, so as to deploy each sensor equipment in each area and obtain the deployment position of each sensor equipment in each area to ensure the stability of the data in each area; deploys each edge server and backup edge server in each sub-area of ​​each area to ensure that the data of each sensor equipment can be transmitted from the edge server to the central server in real time, thereby ensuring the comprehensiveness of the data.

[0073] The early warning terminal is used to transmit the sensor data of a sensor device and the deployment location in the sub-area of ​​the area corresponding to the sensor device to the central server for early warning when the edge server determines that the sensor data of a sensor device is abnormal.

[0074] See also Figure 2 As shown, the present application provides a fault monitoring method for a transmission line fault monitoring system in a second aspect, comprising the following steps: Step 1, target area data acquisition and analysis: Obtain a transmission line map of the target area, the transmission line map including the three-dimensional direction of the transmission line and the terrain data of the target area, and then divide the target area into various areas according to the terrain data of the target area in the transmission line map, and obtain the terrain height corresponding to each area of ​​the target area.

[0075] Step 2: Acquisition and analysis of weather data: Acquire weather data for each region, and then analyze the weather factors for each region.

[0076] Step 3: Sensor equipment deployment: Obtain the standard deployment distance of sensor equipment in each area from the database according to the terrain height of each area, extract the weather factors of each area, and then analyze and obtain the deployment distance of sensor equipment in each area, so as to deploy each sensor equipment in each area and obtain the deployment position of each sensor equipment in each area.

[0077] Step 4: Edge sensor deployment: Obtain the dense distribution of sensor devices in each area, and determine whether the edge servers in each area need to install signal enhancement equipment or deploy backup edge servers; at the same time, divide each area into sub-areas, and obtain the required number of edge servers in each sub-area; and deploy each edge server and backup edge server in each sub-area of ​​each area, and obtain the deployment location of each edge server and backup edge server in each area of ​​each area.

[0078] Step 5: Acquisition and analysis of transmission line data: Each sensor device transmits each sensor data to the edge server, and then analyzes and obtains the evaluation coefficient of each sensor data of each sensor device, so as to determine whether the sensor data of each sensor device is abnormal.

[0079] Step 6, early warning terminal: When the edge server determines that a certain sensor data of a certain sensor device is abnormal, the sensor data of the sensor device and the deployment location in the sub-area of ​​the area corresponding to the sensor device are transmitted to the central server for early warning.

[0080] The present application provides a power transmission line fault monitoring system and method, which first divides the target area into various regions according to terrain data, analyzes weather factors and the deployment distance of sensor equipment in each region, and deploys each sensor equipment, and then analyzes whether the edge server in each region needs to install signal enhancement equipment or deploy a backup edge server, so as to obtain the deployment location and complete the deployment, which solves the limitations existing in the current power transmission line fault monitoring process, realizes the comprehensiveness and objectivity of the transmission line fault monitoring analysis, and ensures the reliability and authenticity of the transmission line fault monitoring analysis results.

[0081] The above contents are merely examples and explanations of the concept of the present application. The technical personnel in the relevant technical field may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present application.

Claims

1. A transmission line fault monitoring system, characterized in that: include: The target area data acquisition and analysis module is used to acquire the transmission line map of the target area, which includes the three-dimensional direction of the transmission line and the terrain data of the target area, and then divide the target area into various areas according to the terrain data of the target area in the transmission line map, and acquire the terrain height corresponding to each area of ​​the target area; The weather data acquisition and analysis module is used to acquire weather data of each region and then analyze the weather factors of each region; The sensor equipment deployment module is used to obtain the standard deployment distance of the sensor equipment in each area in the database according to the terrain height of each area, extract the weather factors of each area, and then analyze and obtain the deployment distance of the sensor equipment in each area, so as to deploy each sensor equipment in each area and obtain the deployment position of each sensor equipment in each area; The edge sensor deployment module is used to obtain the dense distribution of sensor devices in each area, determine whether the edge server in each area needs to install signal enhancement equipment or deploy a backup edge server; at the same time, divide each area into sub-areas, obtain the required number of edge servers in each sub-area; and deploy each edge server and backup edge server in each sub-area of ​​each area, and obtain the deployment location of each edge server and backup edge server in each area of ​​each area; The transmission line data acquisition and analysis module is used for each sensor device to transmit each sensor data to the edge server, and then analyze and obtain the evaluation coefficient of each sensor data of each sensor device, so as to determine whether each sensor data of each sensor device is abnormal; The early warning terminal is used to transmit the sensor data of a sensor device and the deployment location in the sub-area of ​​the area corresponding to the sensor device to the central server for early warning when the edge server determines that the sensor data of a sensor device is abnormal.

2. A power transmission line fault monitoring system according to claim 1, characterized in that: The target area is then divided into various areas according to the terrain data of the target area in the power transmission line map, and the terrain height corresponding to each area of ​​the target area is obtained. The specific division process is as follows: The terrain data includes terrain height, slope and geomorphic features. The regional division standards are extracted from the database according to the different terrain features in the target area, and the height range and slope level of the regional division standards are used as regional division boundaries to divide the target area into various areas, and the terrain height corresponding to each area in the target area is obtained.

3. A power transmission line fault monitoring system according to claim 2, characterized in that: The analysis results in the weather factors of each region, and the specific analysis process is as follows: The weather data of each area are recorded as T ij , where i represents the number corresponding to each area, i=1,2,......,n, n represents the total number of areas, and n represents a natural integer greater than or equal to 2; where j represents the number corresponding to each weather data, j=1,2,......,m, m represents the total number of weather data, and m represents a natural integer greater than or equal to 2; According to the calculation formula Get the weather factor λ of the target area i , where T j ′ represents the reference value of each weather data in the database, ΔT j It is expressed as the allowed floating value of each weather data in the database, σ j It is expressed as the correction factor corresponding to each weather data in the database.

4. A power transmission line fault monitoring system according to claim 3, characterized in that: The analysis obtains the deployment distance of the sensor devices in each area, thereby deploying each sensor device in each area and obtaining the deployment position of each sensor device in each area. The specific analysis process is as follows: A1. Compare the weather factors of each area with the sensor weather factor threshold in the database. When the weather factor of a certain area is less than the sensor weather factor threshold in the database, it is determined that the weather in the area has no effect on the transmission range of the sensor equipment. Then, the standard deployment distance corresponding to the sensor equipment in the area is used as the sensor equipment deployment distance of the area. Thus, the deployment position of each sensor equipment is marked in the power transmission line map according to the sensor equipment deployment distance of the area, and the deployment of the sensor equipment in the area is completed. A2. When the weather factor of a certain area is greater than or equal to the sensor weather factor threshold in the database, it is determined that the weather in the area has an impact on the transmission range of the sensor equipment, and then the sensor equipment transmission distance impact value corresponding to the weather factor in the area is obtained from the weather impact table in the database, so as to obtain the sensor equipment deployment distance in the area by multiplying the standard deployment distance of the sensor equipment in the area by the sensor equipment transmission distance impact value in the area, and mark the deployment position of each sensor equipment in the transmission line map according to the sensor equipment deployment distance in the area to complete the deployment of the sensor equipment in the area.

5. A power transmission line fault monitoring system according to claim 4, characterized in that: The specific process of judging whether the edge servers in each area need to install signal enhancement equipment or deploy backup edge servers is as follows: Compare the weather factors of each area with the lower and upper limits of the signal weather factors in the database. When the weather factor of a certain area is less than the lower limit of the signal weather factor in the database, it is determined that the edge server in the area does not need to install signal enhancement equipment. When the weather factor of a certain area is greater than the lower limit of the signal weather factor in the database and less than the upper limit, it is determined that the edge server in the area only needs to install signal enhancement equipment; When the weather factor of a certain area is greater than the upper limit of the signal weather factor in the database, it is determined that the edge server in the area needs to install signal enhancement equipment and deploy backup edge servers.

6. A power transmission line fault monitoring system according to claim 5, characterized in that: Each area is divided into sub-areas to obtain the required number of edge servers for each sub-area. The specific division process is as follows: According to the dense distribution of sensor equipment in each area in the transmission line map, the dense distribution points of sensor equipment in each area are obtained, and then the dense distribution points of sensor equipment in each area are used as the center points of the corresponding sub-areas, so as to divide each area into sub-areas and obtain the number of sensor equipment in each sub-area in each area; according to the number of sensor equipment in each sub-area, the required number of edge servers corresponding to each sub-area is extracted from the database.

7. A power transmission line fault monitoring system according to claim 6, characterized in that: The edge servers and standby edge servers are deployed in each sub-area of ​​each area, and the deployment positions of the edge servers and standby edge servers in each area of ​​each area are obtained. The specific deployment process is as follows: B1. When a backup edge server needs to be deployed in a certain area, a backup edge server is deployed in the center of the area; B2. When the number of edge servers required in a sub-region of a region is 1, the location of the edge servers deployed in the sub-region of the region is calculated by the K-media algorithm according to the deployment location of each sensor device in the sub-region of the region; B3. When the number of edge servers required in a sub-area of ​​a certain area is greater than 1, the number of edge servers required is recorded as N, and then the first edge server is deployed in the central area where the sensor devices of the sub-area of ​​the area are most densely deployed, so as to deploy N-1 edge servers one by one around the first edge server in the form of increasing set distances, and obtain the locations of each edge server deployed in the sub-area of ​​the area.

8. A power transmission line fault monitoring system according to claim 7, characterized in that: The analysis results in the evaluation coefficients of the sensor data of each sensor device. The specific analysis process is as follows: The sensor data of each sensor device is recorded as G xy , where x represents the number corresponding to each sensor, x=1,2,...,b, b represents the total number of sensor devices, and b represents a natural integer greater than or equal to 2; where y represents the number corresponding to each sensor data, y=1,2,...,d, d represents the total number of sensor data, and d represents a natural integer greater than or equal to 2; According to the calculation formula The sensor data evaluation coefficient β of each sensor device is obtained xy , where G′ y It is represented as the reference value corresponding to each sensor data of the sensor device in the database, ΔG y It is represented by the allowable floating value corresponding to each sensor data of the sensor device in the database, ω y It is represented as the correction factor corresponding to each sensor data of the sensor device in the database.

9. A power transmission line fault monitoring system according to claim 8, characterized in that: The specific process of judging whether the sensor data of each sensor device is abnormal is as follows: The sensor data evaluation coefficients of each sensor device are compared with the sensor data evaluation coefficient thresholds in the database. When a sensor data evaluation coefficient of a sensor device is greater than or equal to the sensor data evaluation coefficient threshold in the database, it is judged that the sensor data of the sensor device is abnormal; otherwise, it is judged that the sensor data of the sensor device is not abnormal.

10. A fault monitoring method for a power transmission line fault monitoring system according to any one of claims 1 to 9, characterized in that: include: Step 1: Obtain and analyze target area data: Obtain a transmission line map of the target area, which includes the three-dimensional direction of the transmission line and the terrain data of the target area, and then divide the target area into various areas according to the terrain data of the target area in the transmission line map, and obtain the terrain height corresponding to each area of ​​the target area; Step 2: Acquisition and analysis of weather data: Acquisition of weather data for each region, and then analysis to obtain weather factors for each region; Step 3: Sensor equipment deployment: Obtain the standard deployment distance of sensor equipment in each area in the database according to the terrain height of each area, extract the weather factors of each area, and then analyze and obtain the deployment distance of sensor equipment in each area, so as to deploy each sensor equipment in each area and obtain the deployment position of each sensor equipment in each area; Step 4: Edge sensor deployment: Obtain the dense distribution of sensor devices in each area, determine whether the edge server in each area needs to install signal enhancement equipment or deploy a backup edge server; divide each area into sub-areas, obtain the required number of edge servers in each sub-area; and deploy each edge server and backup edge server in each sub-area of ​​each area, and obtain the deployment location of each edge server and backup edge server in each area of ​​each area; Step 5: Acquisition and analysis of transmission line data: Each sensor device transmits each sensor data to the edge server, and then analyzes and obtains the evaluation coefficient of each sensor data of each sensor device, so as to determine whether each sensor data of each sensor device is abnormal; Step 6, early warning terminal: When the edge server determines that a certain sensor data of a certain sensor device is abnormal, the sensor data of the sensor device and the deployment location in the sub-area of ​​the area corresponding to the sensor device are transmitted to the central server for early warning.

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