A transmission line fault monitoring system based on regional collaboration

Abstract

The present application discloses a transmission line fault monitoring system based on regional collaboration, which relates to the technical field of transmission line fault monitoring, and solves the technical problem that the transmission performance of the existing transmission line monitoring system is reduced due to the characteristics of the cable itself and the transmission environment characteristics, thereby reducing the accuracy of the abnormal diagnosis of the transmission line; the system comprises: a data acquisition module: obtaining the monitoring data of each transmission line; a regional analysis module: generating an influence coefficient according to historical environmental data; adjusting the monitoring threshold data according to the influence coefficient to obtain the characteristic threshold data; and establishing a transmission line topology map according to the transmission line data; a fault monitoring module: generating the monitoring result data of the corresponding management area according to the monitoring data and the characteristic threshold data; a fault warning module: obtaining the monitoring result data and the transmission line topology map; generating an abnormal warning according to the monitoring result data and the transmission line topology map; and increasing the accuracy of the abnormal diagnosis of the transmission line.

Description

Technical Field

[0001] The present application belongs to the field of power transmission line fault monitoring technology, and relates to power transmission line fault monitoring technology, and specifically to a power transmission line fault monitoring system based on regional collaboration. Background Art

[0002] Transmission lines refer to power lines that transmit electric energy from power plants to power load centers and connect power systems. Transmission lines can be divided into AC transmission lines and DC transmission lines according to the nature of the current; they can be divided into high voltage, extra high voltage, and ultra high voltage lines according to the voltage level.

[0003] The prior art (an invention patent with announcement number CN 117368629 B) discloses an online monitoring system for transmission line faults, which relates to the field of electric power technology, and includes: a data acquisition module, which is used to acquire the actual operation data and actual environmental data of the transmission line where it is located; a storage module, which stores the standard range of operation data and standard range of environmental data of the transmission line corresponding to each monitoring point when it is working normally; a judgment module, which is used to judge whether the actual operation data of the transmission line acquired by the data acquisition module of each monitoring point is within the standard range of operation data of the corresponding transmission line when it is working normally; a fault information generation module, which is used to determine the fault location and fault type of the transmission line; a fault report generation module, which is used to generate a fault report according to the fault location, fault type and fault occurrence time of the transmission line. The present invention solves the technical problems that the existing manual troubleshooting of transmission line faults requires a lot of manpower, takes a long time to troubleshoot, and has low efficiency.

[0004] The above-mentioned transmission line monitoring system collects operating data in real time and evaluates whether these data are within the preset standard range to determine whether the transmission line is in a normal state. However, the transmission cables commonly used in high-voltage transmission do not have an insulation layer, which makes it easy for the cables to absorb surrounding dust particles due to being charged. Over time, the accumulation of these dust on the transmission cables will seriously affect their heat dissipation and transmission performance, thereby changing the standard range of the corresponding operating data of the cables. Continuing to use a fixed standard range for abnormal diagnosis will significantly reduce the accuracy of the diagnosis. Therefore, a transmission line fault monitoring system based on regional collaboration is needed. Summary of the invention

[0005] The present application aims to solve at least one of the technical problems existing in the prior art; to this end, the present application proposes a transmission line fault monitoring system based on regional collaboration, which is used to solve the technical problem that the existing transmission line monitoring system has a reduced transmission performance due to the characteristics of the cable itself and the transmission environment, which in turn leads to a reduced accuracy in diagnosing transmission line abnormalities.

[0006] To achieve the above-mentioned purpose, the first aspect of the present application provides a transmission line fault monitoring system based on regional collaboration, comprising: a data acquisition module, a regional analysis module, a fault monitoring module, a fault warning module and a database;

[0007] The data acquisition module is used to acquire monitoring data of each transmission line in each management area through a data acquisition device connected thereto;

[0008] The regional analysis module: obtains historical environmental data of several management areas through a database, generates an influence coefficient of the corresponding management area according to the historical environmental data; obtains monitoring threshold data of each transmission line in each management area, adjusts the monitoring threshold data according to the influence coefficient to obtain characteristic threshold data; and

[0009] Obtain the transmission line data of each management area through the database; establish a transmission line topology map based on the transmission line data;

[0010] The fault monitoring module: acquires real-time monitoring data, and generates monitoring result data of the corresponding management area according to the monitoring data and characteristic threshold data;

[0011] The fault warning module is configured to obtain monitoring result data and a transmission line topology map; and generate an abnormality warning according to the monitoring result data and the transmission line topology map.

[0012] The present application obtains historical environmental data of a management area, generates an impact coefficient of the corresponding management area based on the historical environmental data; adjusts monitoring threshold data based on the impact coefficient to obtain characteristic threshold data; obtains real-time monitoring data of each transmission line in each management area in real time; generates monitoring result data based on the real-time monitoring data and the corresponding characteristic threshold data, and issues abnormal warnings based on the monitoring result data; and can adaptively adjust the corresponding threshold value based on the specific usage of the transmission line, thereby increasing the accuracy of abnormal diagnosis of the transmission line.

[0013] Preferably, generating the influence coefficient of the corresponding management area according to the historical environmental data includes:

[0014] Extract air data and rainfall data from historical environmental data; extract air humidity, particle diameter and its corresponding particle concentration from air data, and rainfall level, rainfall duration and wind force level from rainfall data;

[0015] Generate adhesion influence coefficient according to air humidity, particle diameter and particle concentration; Generate influence adhesion coefficient according to rainfall level, rainfall duration and wind level;

[0016] By formula The influence coefficient YX is calculated; where NFY is the influence adhesion coefficient; is the adhesion influence coefficient corresponding to the recording period numbered i; i is the number of the recording period; I is the total number of recording periods.

[0017] Preferably, generating the adhesion influence coefficient according to air humidity, particle diameter and particle concentration includes:

[0018] Obtain the transmission voltage of each transmission line at each recording period , and the air humidity during the corresponding period , particle diameter and particle concentration ; i is the number of the recording period, j is the number of the particle diameter;

[0019] By formula Calculate the adhesion influence coefficient corresponding to the recording period numbered i ;in, is the optimal adhesion humidity corresponding to the particle diameter numbered j; ε1 and ε2 are adjustment coefficients, and the specific values ​​are set according to experience; α1 and α2 are proportional coefficients, and the specific values ​​are set according to experience; J is the total number of particle diameters.

[0020] Preferably, the rainfall level, rainfall duration and wind force level generate an influence on the adhesion coefficient, including:

[0021] Label the rainfall level as ; The rainfall duration and wind force level corresponding to the rainfall level are marked as , ; g is the rainfall level number;

[0022] By formula The influence adhesion coefficient NFY is calculated; among them, ε3 is the adjustment coefficient, and the specific value is set according to experience; α3 and α4 are proportional coefficients, and the specific values ​​are set according to experience; G is the total number of rainfall levels.

[0023] Preferably, the step of adjusting the monitoring threshold data according to the influence coefficient to obtain the characteristic threshold data includes:

[0024] Extract the upper and lower thresholds of each monitoring item in the monitoring threshold value and mark them as and , k is the number of the monitoring project;

[0025] Obtain the influence coefficient YX of each management area;

[0026] By formula Calculate the characteristic upper limit threshold of the monitoring item numbered k in the corresponding management area ; Among them, β1 is the adjustment coefficient; is the adjustable threshold of the upper threshold corresponding to the monitoring item numbered k; MYX is the maximum value of the influence coefficient;

[0027] By formula Calculate the characteristic lower limit threshold of the monitoring item numbered k in the corresponding management area ; Among them, β2 is the adjustment coefficient; is the adjustable threshold of the lower threshold corresponding to the monitoring item numbered k;

[0028] The characteristic upper limit threshold and characteristic lower limit threshold of each monitoring item in the management area are integrated into the characteristic threshold data of the corresponding management area.

[0029] Preferably, establishing a transmission line topology map according to the transmission line data comprises:

[0030] Extract the transmission line map from the transmission line data of each management area; extract each transmission node and node position in the transmission line map, as well as the transmission line between each transmission node; construct the regional transmission line topology map of each management area based on the transmission nodes and transmission lines;

[0031] Extracting management area connection data from the transmission line data of each management area; the management area connection data is the transmission lines and transmission nodes connected between adjacent management areas; integrating the transmission line topology maps of each area into a transmission line topology map according to the management area connection data; and marking the corresponding transmission lines and transmission nodes in the management area connection data as connected transmission lines and connected transmission nodes.

[0032] Preferably, the generating of monitoring result data of the corresponding management area according to the monitoring data and the characteristic threshold data includes:

[0033] Extract each monitoring item and its corresponding monitoring value in the monitoring data; extract the characteristic upper limit threshold and characteristic lower limit threshold corresponding to each monitoring item in the characteristic monitoring data of the corresponding management area;

[0034] Determine whether the monitoring value corresponding to each monitoring item is less than the corresponding characteristic upper limit threshold and greater than the corresponding characteristic lower limit threshold; if yes, set the monitoring result corresponding to the monitoring item as normal; otherwise, set the monitoring result of the monitoring item as abnormal;

[0035] The monitoring results of each monitoring item of each transmission line in the management area are integrated into the monitoring result data of the corresponding management area.

[0036] Preferably, generating an abnormal warning according to the monitoring result data and the transmission line topology diagram includes:

[0037] Extracting several monitoring results from the monitoring result data, and when there are abnormal monitoring results, generating abnormal warning signals for the transmission lines and monitoring items corresponding to the abnormal monitoring results;

[0038] Acquire the connecting transmission lines and connecting transmission nodes between the management area and other adjacent management areas in the transmission line topology diagram; generate coordinated early warning signals for each adjacent management area according to the connecting transmission lines and connecting transmission nodes; and send system alarm signals to corresponding management areas in sequence according to the generation order of the coordinated alarm signals;

[0039] An abnormal warning is issued in the management area according to the abnormal warning signal; and an abnormal warning is issued in the corresponding management area according to the coordinated warning signal.

[0040] Preferably, the generating of the coordinated warning signal of each adjacent management area according to the connected transmission line and the connected transmission node includes:

[0041] Acquire a number of connected transmission lines and connected transmission nodes of other management areas connected to the management area in the transmission line topology diagram;

[0042] The sum of the number of connections connecting the transmission lines and the number of connections connecting the transmission nodes is obtained and recorded as the total number of connections, and the sum of the number of connections of other management areas adjacent to the management area is normalized to obtain the normalized total number of connections, and is marked as ; Obtain the line length of the shortest connection transmission line among the connection transmission lines of the management area adjacent to the management area, and mark it as ; n is the number of other management areas adjacent to the management area;

[0043] By formula Calculate the alarm priority of management area numbered n ; Wherein, γ1 and γ2 are weight coefficients, and the specific values ​​are set according to expert experience; n=1, 2, ..., N; N is the total number of other management areas adjacent to the management area; ε4 is the adjustment coefficient, and the specific value is set according to experience;

[0044] According to the order of alarm priorities of each adjacent management area from large to small, collaborative early warning signals for the corresponding management areas are generated in sequence.

[0045] Compared with the prior art, the beneficial effects of this application are:

[0046] 1. The present application obtains historical environmental data of a management area, generates an influence coefficient of the corresponding management area according to the historical environmental data; adjusts monitoring threshold data according to the influence coefficient to obtain characteristic threshold data; obtains real-time monitoring data of each transmission line in each management area in real time; generates monitoring result data according to the real-time monitoring data and the corresponding characteristic threshold data, and issues abnormal warnings according to the monitoring result data; and can adaptively adjust the corresponding threshold according to the specific usage of the transmission line, thereby increasing the accuracy of abnormal diagnosis of the transmission line.

[0047] 2. This application generates the alarm priority of each adjacent management area through the line connection relationship between the adjacent management areas, and sends the coordinated alarm signal in sequence according to the alarm priority, so that other areas can take necessary preventive measures to avoid the spread of faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] 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.

[0049] Figure 1 This is a module diagram of the power transmission line fault monitoring system in this application;

[0050] Figure 2 Schematic diagram of the steps of the regional coordinated transmission line fault monitoring method in this application. DETAILED DESCRIPTION

[0051] The technical solution of the present application will be described clearly and completely below in conjunction with the embodiments. 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 the field without creative work are within the scope of protection of the present application.

[0052] See also Figure 1-Figure 2 , the first aspect of the present application provides a transmission line fault monitoring system based on regional collaboration, including: a data acquisition module, a regional analysis module, a fault monitoring module, a fault warning module and a database;

[0053] Data acquisition module: acquires monitoring data of each transmission line in each management area through the data acquisition equipment connected thereto; the monitoring data is the data monitored by each monitoring item corresponding to each transmission line; the monitoring items include current, voltage and temperature, etc.; the data acquisition equipment includes voltage acquisition equipment, current acquisition equipment and temperature acquisition equipment;

[0054] Regional analysis module: obtain historical environmental data of several management areas through the database, and the historical environmental data is the environmental data of the management area, including air data and rainfall data, etc.; it can be understood that the historical environmental data is the data collected from the last time the transmission line was cleaned to the present; generate the influence coefficient of the corresponding management area according to the historical environmental data; the influence coefficient is the influence of the historical environmental data on the transmission line; the larger the influence coefficient, the greater the influence of the historical environmental data on the transmission line; obtain the monitoring threshold data of each transmission line in each management area, and the monitoring threshold data includes the upper threshold and lower threshold of several monitoring items; such as the maximum value of the transmission current of the transmission line pair is recorded as the upper threshold; it can be understood that if the monitoring item has only one upper threshold or lower threshold, then when generating the characteristic threshold data, only the corresponding upper threshold or lower threshold is considered; adjust the monitoring threshold data according to the influence coefficient to obtain the characteristic threshold data; the characteristic threshold data is the monitoring threshold data for the current transmission line generated according to the influence of the historical environmental data on the transmission capacity of the transmission line; and,

[0055] The transmission line data of each management area is obtained through the database; the transmission line data includes the positional relationship of several transmission lines and transmission nodes in each area; the transmission line is the wires and cables used for power transmission, and the transmission nodes are the nodes at both ends of each transmission line; the transmission line topology map is established according to the transmission line data; the transmission line topology map includes the transmission nodes of each management area and the transmission lines between each node, as well as the connection relationship between each area through the transmission lines and transmission nodes;

[0056] Fault monitoring module: obtains real-time monitoring data, and generates monitoring result data of the corresponding management area based on the monitoring data and characteristic threshold data; the monitoring result data includes the monitoring results of each monitoring item, and the monitoring results include normal and abnormal. When the monitoring value of a monitoring item of the transmission line is not within the range of the characteristic threshold data of the corresponding management area, the corresponding monitoring result is abnormal, indicating that the corresponding transmission line is abnormal and needs to be repaired by relevant personnel;

[0057] Fault warning module: obtain monitoring result data and transmission line topology map; generate abnormal warning according to monitoring result data and transmission line topology map; it can be understood that when an abnormality is detected in a management area, an abnormal alarm signal will be generated immediately to warn the area, and at the same time, a coordinated warning signal for other management areas connected to the abnormal management area will be generated according to the transmission line topology map, and other management areas will be warned according to the coordinated warning signal.

[0058] This embodiment obtains historical environmental data of the management area, generates an influence coefficient of the corresponding management area according to the historical environmental data; adjusts the monitoring threshold data according to the influence coefficient to obtain the characteristic threshold data; obtains real-time monitoring data of each transmission line in each management area in real time; generates monitoring result data according to the real-time monitoring data and the corresponding characteristic threshold data, and performs abnormal warning according to the monitoring result data; can adaptively adjust the corresponding threshold according to the specific usage of the transmission line, thereby increasing the accuracy of abnormal diagnosis of the transmission line; can automatically adjust the detection parameters according to the changes in the operating status of the power grid, thereby improving the accuracy and reliability of detection.

[0059] Generate the impact coefficient of the corresponding management area based on historical environmental data, including:

[0060] Extract air data and rainfall data from historical environmental data; extract air humidity, particle diameter and its corresponding particle concentration from air data, and rainfall level, rainfall duration and wind force level from rainfall data;

[0061] The adhesion influence coefficient is generated according to air humidity, particle diameter and particle concentration; the adhesion influence coefficient is the size and concentration of dust particles, as well as the influence of the environment at that time on the adhesion of dust particles to the transmission line. The larger the adhesion influence coefficient, the greater the possibility of dust adhesion to the corresponding transmission line; the influence adhesion coefficient is generated according to rainfall level, rainfall duration and wind level; the influence adhesion coefficient is the scouring effect of dust adhered to the cable according to the rainfall in the corresponding area; the smaller the corresponding influence adhesion coefficient, the greater the scouring effect, which means the greater the probability of scouring the dust adhered to the cable;

[0062] By formula The influence coefficient YX is calculated; where NFY is the influence adhesion coefficient; is the adhesion influence coefficient corresponding to the recording period numbered i; i is the number of the recording period; I is the total number of recording periods.

[0063] This embodiment generates the total impact of the corresponding historical environmental data on the degree of dust adhesion according to each adhesion influence coefficient and the influence adhesion coefficient in the historical period through the above formula; when the air quality is worse, the environment is more suitable for dust particles to adhere, and rainfall has less impact on the adhered dust; it means that the more serious the dust adhesion on the corresponding transmission cable, the greater the corresponding impact coefficient.

[0064] Generates adhesion influence factors based on air humidity, particle diameter and particle concentration, including:

[0065] Obtain the transmission voltage of each transmission line at each recording period , and the air humidity during the corresponding period , particle diameter and particle concentration ; i is the number of the recording period, j is the number of the particle diameter;

[0066] By formula Calculate the adhesion influence coefficient corresponding to the recording period numbered i ;in, is the optimum adhesion humidity corresponding to the diameter of the particle numbered j; ε1 and ε2 are adjustment coefficients, and the specific values ​​are set according to experience; α1 and α2 are proportional coefficients, and the specific values ​​are set according to experience; J is the total number of particle diameters. It can be understood that this embodiment only conducts a statistical investigation on particles with diameters within the set range; including particles of 10 microns and 2.5 microns; by setting the adjustment coefficient and proportional coefficient, in addition to adjusting the relationship between different parameters, the value of the adhesion influence coefficient can also be within the set range; for example, setting the annual influence coefficient within the range of 0-1 is convenient for reducing subsequent calculations.

[0067] When the transmission voltage is higher, the transmission line has a stronger ability to adsorb dust; when the diameter of the dust is smaller or the concentration is higher, the transmission line adsorbs more dust; when the air humidity is lower, that is, the drier the air is, the weaker the dust's adhesion ability is, and it is easy to be blown away; when the air humidity is too high, a water film will form on the surface of the dust, preventing the dust from directly contacting the cable surface, resulting in a decrease in the dust's adhesion ability; when the air humidity is closer to the optimal adhesion humidity, the optimal adhesion humidity is the air humidity with the strongest dust adhesion ability; the presence of a certain amount of water vapor will enhance the adhesion of particles on the cable surface; it is understandable that there is a slight difference in the optimal adhesion humidity corresponding to particles of different diameters;

[0068] In this embodiment, the adhesion influence coefficient of each recording time period is calculated by the above formula; when the transmission voltage is larger, the transmission line has a stronger ability to adsorb dust, and the corresponding adhesion influence coefficient is set to be larger; when the diameter of the dust is smaller, or the concentration is greater, the transmission line adsorbs more dust, and the corresponding adhesion influence coefficient is set to be larger; when the air humidity is smaller, that is, the drier the air is, the weaker the adhesion ability of the dust is, and the easier it is to be blown away, and the corresponding adhesion influence coefficient is set to be smaller; when the air humidity is too high, a water film will be formed on the surface of the dust, hindering the direct contact between the dust and the cable surface, resulting in a decrease in the adhesion ability of the dust, and the corresponding adhesion influence coefficient is set to be smaller; when the air humidity is closer to the optimum adhesion humidity, the optimum adhesion humidity is the air humidity with the strongest dust adhesion ability; the presence of a certain amount of water vapor will enhance the adhesion of particles on the cable surface, and the corresponding adhesion influence coefficient is set to be larger.

[0069] Rainfall level, rainfall duration and wind level affect the adhesion coefficient, including:

[0070] Label the rainfall level as ; The rainfall duration and wind force level corresponding to the rainfall level are marked as , ; g is the rainfall level number;

[0071] By formula The influence adhesion coefficient NFY is calculated; among them, ε3 is the adjustment coefficient, and the specific value is set according to experience; α3 and α4 are proportional coefficients, and the specific values ​​are set according to experience; G is the total number of rainfall levels.

[0072] The higher the rainfall level, the heavier the rain, or the greater the wind level, the stronger the scouring ability of the rain, and the stronger the scouring of the dust attached to the transmission cables, the smaller the corresponding impact adhesion coefficient is set; the longer the rainfall duration, the longer the time for the rain to scour the dust on the transmission cables, and the greater the possibility of the dust being washed away, the smaller the corresponding impact adhesion coefficient is set.

[0073] The monitoring threshold data is adjusted according to the influence coefficient to obtain the characteristic threshold data, including: extracting the upper threshold and lower threshold of each monitoring item in the monitoring threshold value, and marking them as and , k is the number of the monitoring project; obtain the impact coefficient YX of each management area;

[0074] By formula Calculate the characteristic upper limit threshold of the monitoring item numbered k in the corresponding management area ; Among them, β1 is the adjustment coefficient; is the adjustable threshold of the upper threshold corresponding to the monitoring item numbered k; MYX is the maximum value of the influence coefficient;

[0075] By formula Calculate the characteristic lower limit threshold of the monitoring item numbered k in the corresponding management area ; Among them, β2 is the adjustment coefficient; is an adjustable threshold value of the lower threshold value corresponding to the monitoring item numbered k; it can be understood that; ; ;

[0076] The characteristic upper limit threshold and characteristic lower limit threshold of each monitoring item in the management area are integrated into the characteristic threshold data of the corresponding management area.

[0077] This embodiment uses the above formula to adjust the monitoring threshold data of each transmission line according to the influence coefficient of the historical environmental data on the corresponding transmission line to obtain characteristic threshold data that meets the current transmission line, so as to improve the accuracy of subsequent abnormal diagnosis of the transmission line.

[0078] It is worth noting that when the impact coefficient is greater than the set impact coefficient threshold, a cleaning signal is generated and sent to the fault warning module for alarm, reminding relevant personnel to clean up the corresponding transmission line; among them, the impact coefficient threshold is set based on experience.

[0079] Establishing a transmission line topology map based on the transmission line data, including: extracting the transmission line map from the transmission line data of each management area; extracting each transmission node and node position in the transmission line map, and the transmission line between each transmission node; constructing a regional transmission line topology map of each management area based on the transmission nodes and the transmission lines;

[0080] Extract the management area connection data from the transmission line data of each management area; the management area connection data is the transmission lines and transmission nodes connected between adjacent management areas; integrate the transmission line topology maps of each area into a transmission line topology map according to the management area connection data; and mark the corresponding transmission lines and transmission nodes in the management area connection data as connected transmission lines and connected transmission nodes. The transmission line is a transmission cable used to connect the corresponding transmission nodes; the transmission node is a node between two sections of interconnected transmission lines; the transmission line can be simply understood as a wire, and the transmission node can be understood as a connection point between wires.

[0081] Generate monitoring result data of the corresponding management area according to the monitoring data and the characteristic threshold data, including: extracting each monitoring item and its corresponding monitoring value in the monitoring data; extracting the characteristic upper limit threshold and the characteristic lower limit threshold corresponding to each monitoring item in the characteristic monitoring data of the corresponding management area;

[0082] Determine whether the monitoring value corresponding to each monitoring item is less than the corresponding characteristic upper limit threshold and greater than the corresponding characteristic lower limit threshold; if yes, set the monitoring result corresponding to the monitoring item as normal; otherwise, set the monitoring result of the monitoring item as abnormal;

[0083] The monitoring results of each monitoring item of each transmission line in the management area are integrated into the monitoring result data of the corresponding management area.

[0084] Generate an abnormal warning according to the monitoring result data and the transmission line topology map, including: extracting a number of monitoring results from the monitoring result data, and when there are abnormal monitoring results, generating an abnormal warning signal for the transmission line and monitoring item corresponding to the abnormal monitoring result; the abnormal warning signal indicates that an abnormality occurs in a corresponding monitoring item in a corresponding transmission line in a corresponding management area;

[0085] Acquire the connecting transmission lines and connecting transmission nodes between the management area and other adjacent management areas in the transmission line topology diagram; generate coordinated warning signals for each adjacent management area according to the connecting transmission lines and connecting transmission nodes; send the system alarm signal to the corresponding management area in sequence according to the generation order of the coordinated alarm signal; the coordinated alarm signal is an alarm signal sent by the abnormal management area to other management areas connected to it, which is used to remind each management area to make corresponding processing in time to avoid the abnormal management area from affecting the local area;

[0086] An abnormal warning is issued in the management area according to the abnormal warning signal; and an abnormal warning is issued in the corresponding management area according to the coordinated warning signal.

[0087] Generating a coordinated early warning signal for each adjacent management area according to the connected transmission lines and the connected transmission nodes, including: acquiring a number of connected transmission lines and connected transmission nodes of other management areas connected to the management area in the transmission line topology map;

[0088] The sum of the number of connections connecting the transmission lines and the number of connections connecting the transmission nodes is obtained and recorded as the total number of connections, and the sum of the number of connections of other management areas adjacent to the management area is normalized to obtain the normalized total number of connections, and is marked as ; Obtain the line length of the shortest connection transmission line among the connection transmission lines of the management area adjacent to the management area, and mark it as ; n is the number of other management areas adjacent to the management area;

[0089] By formula Calculate the alarm priority of management area numbered n ; Wherein, γ1 and γ2 are weight coefficients, and the specific values ​​are set according to expert experience; n=1, 2, ..., N; N is the total number of other management areas adjacent to the management area; ε4 is the adjustment coefficient, and the specific value is set according to experience;

[0090] According to the order of alarm priorities of each adjacent management area from large to small, collaborative early warning signals for the corresponding management areas are generated in sequence.

[0091] This embodiment calculates the alarm priority of each adjacent management area through the above formula. When the number of connecting transmission lines and connecting transmission nodes between the abnormal management area and the management area connected to it is greater, it means that there are more ways for the abnormal lines to affect the corresponding management area, that is, the possibility that the corresponding management area is affected is greater, and the alarm signal should be received first and corresponding processing should be carried out in time, and the corresponding alarm priority is higher; when the distance of the connecting transmission line between the abnormal management area and the management area connected to it is shorter, it means that the time for the abnormal line to be transmitted to the corresponding management area is shorter, that is, the possibility that the corresponding management area is affected is greater, and the alarm signal should be received first and corresponding processing should be carried out in time, and the corresponding alarm priority is higher; the collaborative alarm signals are sent in sequence according to the alarm priority, so that other areas can take necessary preventive measures to avoid the spread of faults.

[0092] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0093] How this application works:

[0094] The present application obtains historical environmental data of the management area, generates an influence coefficient of the corresponding management area according to the historical environmental data; adjusts the monitoring threshold data according to the influence coefficient to obtain the characteristic threshold data; obtains the real-time monitoring data of each transmission line in each management area in real time; generates monitoring result data according to the real-time monitoring data and the corresponding characteristic threshold data, and issues abnormal warnings according to the monitoring result data; can adaptively adjust the corresponding threshold according to the specific usage of the transmission line, thereby increasing the accuracy of transmission line abnormality diagnosis, and generates the alarm priority of each adjacent management area through the line connection relationship between each adjacent management area, and sends the coordinated alarm signal in sequence according to the alarm priority, so that other areas can take necessary preventive measures to avoid the spread of faults.

[0095] The above embodiments are only used to illustrate the technical method of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, a person of ordinary skill in the art should understand that the technical method of the present application may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present application.

Claims

1. A transmission line fault monitoring system based on regional coordination, comprising: Data acquisition module, regional analysis module, fault monitoring module, fault warning module and database; characterized in that, The data acquisition module is used to acquire monitoring data of each transmission line in each management area through a data acquisition device connected thereto; The regional analysis module: obtains historical environmental data of several management areas through a database, and generates an impact coefficient of the corresponding management area according to the historical environmental data, including: extracting air data and rainfall data from the historical environmental data; extracting air humidity, particle diameter and its corresponding particle concentration from the air data, and rainfall level, rainfall duration and wind force level from the rainfall data in the historical environmental data; the particle diameter is the diameter of dust particles in the air around the transmission line, and the particle concentration is the concentration of the corresponding dust particles; By formula The influence coefficient YX is calculated; where NFY is the influence adhesion coefficient; is the adhesion influence coefficient; i is the number of the recording period; I is the total number of recording periods; Generating the adhesion influence coefficient includes: obtaining the transmission voltage of each transmission line in each recording period , and the air humidity during the corresponding period , particle diameter and particle concentration ; i is the number of the recording period, j is the number of the particle diameter; By formula Calculate the adhesion influence coefficient ;in, The optimal adhesion humidity corresponding to the particle diameter numbered j; ε1 and ε2 are adjustment coefficients; α1 and α2 are proportional coefficients; J is the total number of particle diameters; Generating the impact adhesion coefficient includes: marking the rainfall level as ; The rainfall duration and wind force level corresponding to the rainfall level are marked as , ; g is the rainfall level number; By formula The influence adhesion coefficient NFY is calculated; where ε3 is the adjustment coefficient; α3 and α4 are proportional coefficients; G is the total number of rainfall levels; Obtain monitoring threshold data of each transmission line in each management area, and adjust the monitoring threshold data according to the influence coefficient to obtain characteristic threshold data, including: Extract the upper and lower thresholds of each monitoring item in the monitoring threshold value and mark them as and , k is the number of the monitoring project; Obtain the influence coefficient YX of each management area; By formula Calculate the characteristic upper threshold ; Through the formula Calculate the characteristic lower threshold ; Among them, β1 and β2 are adjustment coefficients; and They are respectively an adjustable threshold value of the upper threshold value and an adjustable threshold value of the lower threshold value; integrating the characteristic upper threshold value and the characteristic lower threshold value of each monitoring item in the management area into the characteristic threshold data of the corresponding management area; and obtaining the transmission line data of each management area through the database; establishing a transmission line topology map based on the transmission line data; The fault monitoring module: acquires real-time monitoring data, and generates monitoring result data of the corresponding management area according to the monitoring data and characteristic threshold data; The fault warning module is configured to obtain monitoring result data and a transmission line topology map; and generate an abnormality warning according to the monitoring result data and the transmission line topology map.

2. A transmission line fault monitoring system based on regional collaboration according to claim 1, characterized in that: The step of establishing a transmission line topology map according to the transmission line data comprises: Extract the transmission line map from the transmission line data of each management area; extract each transmission node and node position in the transmission line map, as well as the transmission line between each transmission node; construct the regional transmission line topology map of each management area based on the transmission nodes and transmission lines; Extracting management area connection data from the transmission line data of each management area; the management area connection data is the transmission lines and transmission nodes connected between adjacent management areas; integrating the transmission line topology maps of each area into a transmission line topology map according to the management area connection data; and marking the corresponding transmission lines and transmission nodes in the management area connection data as connected transmission lines and connected transmission nodes.

3. A transmission line fault monitoring system based on regional collaboration according to claim 1, characterized in that: The generating of monitoring result data of the corresponding management area according to the monitoring data and the characteristic threshold data includes: Extract each monitoring item and its corresponding monitoring value in the monitoring data; extract the characteristic upper limit threshold and characteristic lower limit threshold corresponding to each monitoring item in the characteristic monitoring data of the corresponding management area; Determine whether the monitoring value corresponding to each monitoring item is less than the corresponding characteristic upper limit threshold and greater than the corresponding characteristic lower limit threshold; if yes, set the monitoring result corresponding to the monitoring item as normal; otherwise, set the monitoring result of the monitoring item as abnormal; The monitoring results of each monitoring item of each transmission line in the management area are integrated into the monitoring result data of the corresponding management area.

4. A transmission line fault monitoring system based on regional collaboration according to claim 1, characterized in that: The generating of abnormal warning according to the monitoring result data and the transmission line topology diagram includes: Extracting several monitoring results from the monitoring result data, and when there are abnormal monitoring results, generating abnormal warning signals for the transmission lines and monitoring items corresponding to the abnormal monitoring results; Obtaining the connecting transmission lines and connecting transmission nodes between the management area and other adjacent management areas in the transmission line topology diagram; generating coordinated early warning signals for each adjacent management area according to the connecting transmission lines and connecting transmission nodes; Perform abnormal warning in the management area according to the abnormal warning signal; perform abnormal warning in the corresponding management area according to the coordinated warning signal; The generating of the coordinated warning signal of each adjacent management area according to the connected transmission lines and the connected transmission nodes includes: obtaining a number of connected transmission lines and connected transmission nodes of other management areas connected to the management area in the transmission line topology map; The sum of the number of connections connecting the transmission lines and the number of connections connecting the transmission nodes is obtained and recorded as the total number of connections, and the sum of the number of connections of other management areas adjacent to the management area is normalized to obtain the normalized total number of connections, and is marked as ; Obtain the line length of the shortest connection transmission line among the connection transmission lines of the management area adjacent to the management area, and mark it as ; n is the number of other management areas adjacent to the management area; By formula Calculate the alarm priority of management area numbered n ; Wherein, γ1 and γ2 are weight coefficients, and the specific values ​​are set according to expert experience; n=1, 2, ..., N; N is the total number of other management areas adjacent to the management area; ε4 is the adjustment coefficient; According to the order of alarm priorities of each adjacent management area from large to small, collaborative early warning signals for the corresponding management areas are generated in sequence.

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