An overhead transmission line intelligent monitoring system capable of real-time recording

Abstract

The application discloses an overhead transmission line intelligent monitoring system capable of realizing real-time recording, relates to the technical field of transmission line monitoring, and comprises a data acquisition module, a data recording module, a data analysis module, a warning terminal and a database. Each parameter of the overhead transmission line in a monitoring area is collected in real time through a multi-sensor array, information at each monitoring time of the monitoring area is obtained from the database, the transmission rule of each parameter is set, each parameter is recorded in real time transmission, whether a disaster occurs to the overhead transmission line in the monitoring area is analyzed, if a disaster occurs, the disaster occurrence risk of the overhead transmission line in other monitoring areas is analyzed, the overhead transmission line in other monitoring areas can be protected in time, the timeliness of the transmission of the parameters required to be analyzed at present is ensured, and the consistency of the collection time of each parameter analyzed and the effectiveness of the analysis of the overhead transmission line are ensured in the analysis process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transmission line monitoring, in particular to an overhead power transmission line intelligent monitoring system capable of real-time recording. BACKGROUND

[0002] Overhead power transmission lines transport power from power plants to substations or user terminals, and are the core carriers of cross-regional energy transmission of smart grids. As the core backbone of smart grids, overhead power transmission lines bear the key mission of cross-regional energy transmission, and their operation stability is directly related to the safety of power systems, the reliability of energy supply, and the normal operation of social economy.

[0003] The conventional overhead power transmission line intelligent monitoring system capable of real-time recording relies on fixed parameter levels to transmit parameters after monitoring each parameter, and acquires recorded parameters after completing transmission of each parameter. When a backup communication link is enabled, each parameter with a high parameter level occupies the backup communication link. After completing transmission and recording of each parameter, it is analyzed whether a fault occurs in the overhead power transmission line in the monitoring area. If a fault occurs, a warning is given. Obviously, such an overhead power transmission line intelligent monitoring system capable of real-time recording at least has the following deficiencies: 1. The conventional overhead power transmission line intelligent monitoring system capable of real-time recording relies on fixed parameter levels to transmit parameters, lacks combination with the state of the overhead power transmission line, and cannot guarantee the timeliness of transmission of parameters required for analysis.

[0004] 2. Due to the difference between the main link and the backup communication link, there is a time difference between parameters transmitted through the main link and parameters transmitted through the backup link. If parameters associated with each other are allocated on different communication links during transmission, it cannot be guaranteed that parameters associated with each other are at the same time stamp. In the subsequent analysis process, it cannot be guaranteed that the analyzed parameters are collected at the same time. The conventional overhead power transmission line intelligent monitoring system capable of real-time recording ignores the difference between the main link and the backup communication link, and cannot guarantee that the collection time of the analyzed parameters is consistent, thereby cannot guarantee the effectiveness of the analysis of the overhead power transmission line.

[0005] 3. When a disaster occurs in the overhead power transmission line in the monitoring area, the conventional overhead power transmission line intelligent monitoring system capable of real-time recording ignores the influence of the disaster of the overhead power transmission line in the monitoring area on the overhead power transmission line in other monitoring areas, and cannot guarantee that the overhead power transmission line in other monitoring areas can be protected in time. SUMMARY

[0006] In view of the above technical deficiencies, the present application aims to provide an overhead power transmission line intelligent monitoring system capable of real-time recording.

[0007] To solve the above technical problems, the application adopts the following technical solutions: the application provides an overhead transmission line intelligent monitoring system capable of realizing real-time recording, comprising the following modules: a data acquisition module, a data recording module, a data analysis module, a warning terminal and a database.

[0008] The data acquisition module is used for arranging a multi-sensor array on the overhead transmission line in the monitoring area, and collecting the parameters of the overhead transmission line in the monitoring area in real time through the multi-sensor array.

[0009] The data recording module is used for obtaining the information of the historical monitoring of the monitoring area from the database when the multi-array sensor collects the parameters of the overhead transmission line in the monitoring area, setting the transmission rule of the parameters according to the information of the historical monitoring of the monitoring area, and transmitting and recording the parameters in real time according to the set transmission rule.

[0010] The monitoring data communication link information is communicated, and the transmission rule of the parameters is set according to the marked fault type of the overhead transmission line in the current monitoring area, the loss of each sensor in the multi-array sensor and the data communication link information, and the parameters are transmitted and recorded in real time according to the set transmission rule when the parameter monitoring is completed.

[0011] The specific process of setting the transmission rule of the parameters is as follows: obtaining the loss and loss rate of each sensor in the current multi-array sensor, and obtaining the parameters corresponding to the marked fault type of the overhead transmission line in the current monitoring area from the database, which are called fault parameters, and the other parameters collected by the multi-array sensor are called marker parameters.

[0012] The loss and loss rate of each sensor collecting the marker parameters are obtained, and the return value of each marker parameter is analyzed, each priority upload parameter with a return value of 1 is called, and each secondary marker parameter with a return value of 0 is called.

[0013] The defect parameters and the priority upload parameters are transmitted preferentially, the secondary marker parameters are transmitted when the defect parameters and the priority upload parameters are transmitted, and the data communication link information is monitored in real time to determine whether to enable the standby communication link, if so, the parameters being uploaded are called to-be-assigned parameters, and the data communication link of the to-be-assigned parameters is adjusted.

[0014] The specific process of adjusting the data communication link of each to-be-allocated parameter is as follows: obtaining the position of each to-be-allocated parameter on the data communication link, tagging each to-be-allocated parameter according to the position of each to-be-allocated link on the data communication link, the tag including continue transmission and to-be-supplemented transmission, and calling each parameter whose transmission is completed and each to-be-allocated parameter tagged as continue transmission as each main link parameter, and calling each allocated parameter tagged as to-be-supplemented transmission as each analysis parameter.

[0015] It is judged whether each to-be-analyzed parameter is associated with each main link parameter, each to-be-analyzed parameter associated with each main link parameter is called each associated parameter, and each to-be-analyzed parameter not associated with each main link parameter is called each irrelevant parameter, then each parameter tagged as continue transmission and each associated parameter continue transmission on the current data link communication link, and each irrelevant parameter is allocated to a backup communication link for transmission.

[0016] The specific process of judging whether each to-be-analyzed parameter is associated with each main link parameter is as follows: judging whether each to-be-analyzed parameter is a fault parameter, each to-be-analyzed parameter that is a fault parameter is called each relevant parameter, and each to-be-analyzed parameter that is not a fault parameter is called each marked analysis parameter, then each relevant parameter is associated with each main link parameter.

[0017] The analyzed parameters of each historical monitoring are obtained from the database, and each analysis parameter set is obtained, at the same time, each main link parameter is divided into a parameter set, each analysis parameter set is compared with the parameter set, the overlap rate of each analysis parameter set and the parameter set is obtained, the analysis parameter set with the highest overlap rate with the parameter set is called the marked parameter set, and each marked analysis parameter is matched with the marked parameter set, if a certain marked analysis parameter matches the marked parameter set successfully, it means that the marked analysis parameter is associated with each main link parameter, otherwise, it means that the marked analysis parameter is not associated with each main link parameter, in this way, whether each marked analysis parameter is associated with each main link is judged.

[0018] The data analysis module is used to obtain real-time recorded parameters and analyze whether a disaster occurs in the monitoring area overhead transmission line, if a disaster occurs, the risk of disaster occurrence of the overhead transmission line in other monitoring areas is analyzed.

[0019] The early warning terminal is used to perform early warning when a disaster occurs in the monitoring area overhead transmission line.

[0020] The database is used to store information of each historical monitoring in the monitoring area, standard characteristic values of each sensor in the multi-array sensor, parameters corresponding to each fault type of the overhead transmission line, standard parameter characteristics of the overhead transmission line, and maintenance resources of the overhead transmission line in the current monitoring area.

[0021] The beneficial effects of the present application are: 1. The present application provides an overhead transmission line intelligent monitoring system which can realize real-time recording, through a multi-sensor array, the parameters of the overhead transmission line in the monitoring area are collected in real time, the information of the historical monitoring of the monitoring area is obtained from the database, the transmission rules of the parameters are set, the parameters are transmitted and recorded in real time, and whether the overhead transmission line in the monitoring area has a disaster is analyzed, if a disaster occurs, the risk of disaster of the overhead transmission line in other monitoring areas is analyzed, which ensures that the overhead transmission line in other monitoring areas can be protected in time, and the timeliness of the transmission of the parameters required for analysis is ensured, and the consistency of the collection time of the analyzed parameters and the effectiveness of the analysis of the overhead transmission line are ensured during the analysis process.

[0022] 2. The present application obtains the environment of the current monitoring area, obtains the environment of the historical monitoring of the monitoring area from the database, and obtains the loss curve of each sensor in the multi-sensor array according to the real-time values of the information of each sensor in the multi-array sensor and the standard characteristic values of each sensor in the multi-array sensor in the historical monitoring process, and obtains the loss rate of each sensor in the multi-array sensor, and predicts the fault type of the overhead transmission line in the current monitoring area, sets the transmission rules of the parameters, and ensures the timeliness of the transmission of the parameters required for analysis.

[0023] 3. When the standby communication link is enabled, the parameters being uploaded are called to-be-assigned parameters, the positions of the to-be-assigned parameters on the data communication link are obtained, the to-be-assigned parameters are labeled according to the positions of the to-be-assigned parameters on the data communication link, the labels include continue transmission and to-be-supplemented transmission, the parameters whose transmission is completed and the to-be-assigned parameters with the label of continue transmission are called main link parameters, the to-be-assigned parameters with the label of to-be-supplemented transmission are called analysis parameters, and the to-be-assigned parameters which are not associated with the main link parameters are called irrelevant parameters, the parameters with the label of continue transmission and the associated parameters continue to be transmitted on the current data link, and the irrelevant parameters are allocated to the standby communication link for transmission, which ensures the consistency of the collection time of the analyzed parameters and the effectiveness of the analysis of the overhead transmission line during the analysis process.

[0024] 4. When a disaster occurs in the overhead transmission line in the monitoring area, the present application analyzes the disaster level of the overhead transmission line in the current monitoring area, obtains the repair resources of the overhead transmission line in the current monitoring area from the database, analyzes the disaster risk of the overhead transmission line in other monitoring areas according to the disaster level of the overhead transmission line in the current monitoring area and the repair resources, and ensures that the overhead transmission line in other monitoring areas can be protected in time. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced. Obviously, the accompanying drawings in the following description only aim to some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative effort on the basis of these drawings.

[0026] Figure 1 The system structure connection diagram of the present application. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort belong to the protection scope of the present application.

[0028] Please refer to Figure 1 As shown in the figure, the present application provides an overhead transmission line intelligent monitoring system capable of realizing real-time recording, which comprises a data acquisition module, a data recording module, a data analysis module, a warning terminal and a database.

[0029] The data acquisition module is connected with the data recording module, the data recording module is connected with the data analysis module, the data analysis module is connected with the warning terminal, and the database is connected with the data recording module and the data analysis module.

[0030] The data acquisition module is used for arranging a multi-sensor array on the overhead transmission line in the monitoring area, and collecting each parameter of the overhead transmission line in the monitoring area in real time through the multi-sensor array.

[0031] It should be noted that the each parameter of the overhead transmission line includes ice thickness, tower stress, conductor sag, leakage current, conductor temperature and strand degree, etc.

[0032] It should be further noted that the multi-array sensor integrates millimeter wave radar, fiber grating stress sensor, laser radar, insulator leakage current sensor, infrared thermal imager and ultrasonic flaw detector, etc., which are used for monitoring each parameter of the overhead transmission line.

[0033] The data recording module is used to obtain information of each time of historical monitoring of the monitoring area from a database when the multi-array sensor collects each parameter of the overhead transmission line of the monitoring area, set a transmission rule of each parameter according to the information of each time of historical monitoring of the monitoring area, and transmit and record each parameter in real time according to the set transmission rule. The specific process is as follows: the environment of the current monitoring area is obtained, and based on the environment of the current monitoring area, the loss rate of each sensor in the multi-array sensor is analyzed, and the fault type of the overhead transmission line in the current monitoring area is predicted, which is referred to as the marked fault type of the overhead transmission line in the current monitoring area.

[0034] It should be noted that the information of each time of historical monitoring includes the environment of each time of historical monitoring, the real-time values of each information of each sensor in the multi-array sensor during the monitoring process, and each parameter analyzed after each time of historical monitoring, wherein the each parameter analyzed after each time of historical monitoring is each parameter of the overhead transmission line.

[0035] Among them, each information of each sensor in the multi-array sensor includes signal-to-noise ratio, power supply voltage fluctuation, and fixed part looseness, etc. A sensor self-diagnosis module is built in the sensor for monitoring each information of the sensor, and the sensor self-diagnosis module includes a quantum sensor, a PMU, a vibration sensor, etc.

[0036] It should be noted that the system is carried with the local meteorological management system, and the environment of the current monitoring area is obtained from the local meteorological management system.

[0037] It should be further noted that the environment of the current monitoring area is compared with the environment of the monitoring area at each time of historical monitoring, the fault type of the overhead transmission line in the monitoring area during each time of historical monitoring process with the same environment as the current monitoring area is obtained, and the fault type is taken as the marked fault type of the overhead transmission line in the current monitoring area.

[0038] Among them, the fault type of the overhead transmission line includes icing fault, conductor dancing fault, conductor fault and insulator fault, etc.

[0039] The data communication link information is monitored, and the transmission rule of each parameter is set according to the marked fault type of the overhead transmission line in the current monitoring area, the loss of each sensor in the multi-array sensor and the data communication link information. When the monitoring of each parameter is completed, each parameter is transmitted and recorded in real time according to the set transmission rule.

[0040] It should be noted that the data communication link information includes available bandwidth and link load, etc., wherein the data communication link information is monitored by network performance monitor and wireless link flow monitor, etc.

[0041] The specific process of setting the transmission rule of each parameter is as follows: the loss and loss rate of each sensor in the current multi-array sensor are obtained, and the parameters corresponding to the marked fault type of the overhead transmission line in the current monitoring area are obtained from the database, which are referred to as fault parameters, and the other parameters collected by the multi-array sensor are referred to as marked parameters.

[0042] It should be noted that different parameters correspond to different fault types, and different fault types are analyzed by different parameters, for example, the parameters corresponding to the icing fault include the icing thickness and the tower stress, and the parameters corresponding to the conductor fault include the conductor temperature and the degree of broken strands.

[0043] The loss and loss rate of each sensor collecting each marked parameter are obtained, and the return value of each marked parameter is analyzed, the marked parameter with a return value of 1 is referred to as a priority upload parameter, and the marked parameter with a return value of 0 is referred to as a secondary marked parameter.

[0044] It should be noted that the loss and loss rate are normalized, and the loss and loss rate of each sensor collecting each marked parameter are weighted to obtain the upload coefficient of each marked parameter, and the upload coefficient of each marked parameter is compared with the preset upload coefficient threshold, if the upload coefficient of a certain marked parameter is greater than the preset upload coefficient threshold, the return value of the marked parameter is 1, otherwise, the return value is 0, and the return value of each marked parameter is obtained in this way.

[0045] It should also be noted that the weighted calculation expression is: , wherein, represents the upload coefficient of the i-th marked parameter, represents the loss of the sensor collecting the i-th marked parameter, represents the loss rate of the sensor collecting the i-th marked parameter, represents the number of each marked parameter, is a positive integer. The preset upload coefficient threshold is a critical value for judging the return value of each marked parameter, which is set by relevant staff.

[0046] The priority is given to the transmission of each defect parameter and each priority upload parameter, and when the transmission of each defect parameter and each priority upload parameter is completed, each secondary marked parameter is transmitted, and the data communication link information is monitored in real time to determine whether to enable the standby communication link, if so, the parameters being uploaded are referred to as each to-be-distributed parameter, and the data communication link of each to-be-distributed parameter is adjusted.

[0047] The priority is given to the transmission of each defect parameter and each priority upload parameter, and when the transmission of each defect parameter and each priority upload parameter is completed, each secondary marked parameter is transmitted, and the data communication link information is monitored in real time to determine whether to enable the standby communication link, if so, the parameters being uploaded are referred to as each to-be-distributed parameter, and the data communication link of each to-be-distributed parameter is adjusted.

[0048] ​​It should be noted that the information of the data communication link is compared with the critical value thereof, if the information of the data communication link is within the critical value requirement range, it represents that the standby communication link does not need to be enabled, otherwise, it represents that the standby communication link needs to be enabled, for example, the available bandwidth is compared with the available bandwidth critical value, if the available bandwidth is less than the available bandwidth critical value, it represents that the available bandwidth is not within the critical value requirement range. This example is only for explanation and is not the only limitation, the information of the data communication link is not only the available bandwidth.

[0049] The specific process of adjusting the data communication link of each to-be-distributed parameter is as follows: obtaining the position of each to-be-distributed parameter on the data communication link, labeling each to-be-distributed parameter according to the position of each to-be-distributed link on the data communication link, the label including continue transmission and to-be-supplemented transmission, and calling each parameter whose transmission is completed and the label of each to-be-distributed parameter as continue transmission as each main link parameter, and calling each distributed parameter whose label is to-be-supplemented transmission as each analysis parameter.

[0050] It should be noted that the position of each to-be-distributed parameter on the data communication link is obtained by using the Wireshark open source network protocol analysis tool.

[0051] It should be further noted that the distance between each to-be-distributed parameter and the data communication link terminal is calculated according to the position of each to-be-distributed parameter on the data communication link and the data communication link terminal, and compared with a preset distance threshold, each to-be-distributed parameter whose distance from the data communication link terminal is less than the preset distance threshold is labeled as continue transmission, and each to-be-distributed parameter whose distance from the data communication link terminal is greater than the preset distance threshold is labeled as to-be-supplemented transmission.

[0052] The preset distance threshold is a critical value for labeling each to-be-analyzed parameter, which is set by relevant staff.

[0053] It is judged whether each to-be-analyzed parameter is associated with each main link parameter, each to-be-analyzed parameter associated with each main link parameter is called each associated parameter, and each to-be-analyzed parameter not associated with each main link parameter is called each irrelevant parameter, then the parameters labeled as continue transmission and the associated parameters are continued to be transmitted on the current data communication link, and the irrelevant parameters are allocated to the standby communication link for transmission.

[0054] The specific process of judging whether each to-be-analyzed parameter is associated with each main link parameter is as follows: judging whether each to-be-analyzed parameter is a fault parameter, each to-be-analyzed parameter that is a fault parameter is called each relevant parameter, and each to-be-analyzed parameter that is not a fault parameter is called each marked analysis parameter, then each relevant parameter is associated with each main link parameter.

[0055] The historical parameters analyzed after each monitoring are obtained from the database, and each parameter set is obtained, and each main link parameter is divided into a parameter set. Each analysis parameter set is compared with the parameter set, the overlap rate of each analysis parameter set and the parameter set is obtained, the analysis parameter set with the highest overlap rate with the parameter set is called the marker parameter set, and each marker analysis parameter is matched with the marker parameter set. If a certain marker analysis parameter is successfully matched with the marker parameter set, it means that the marker analysis parameter is associated with each main link parameter, otherwise, it means that the marker analysis parameter is not associated with each main link parameter. In this way, it is determined whether each marker analysis parameter is associated with each main link.

[0056] It should be noted that the historical parameters analyzed after monitoring are divided into an analysis parameter set, and each analysis parameter set is obtained in this way.

[0057] It should also be noted that each analysis parameter set is compared with the parameter set. If a certain parameter is in both a certain analysis parameter set and the parameter set, the parameter is called the same parameter of the analysis parameter set. In this way, each same parameter of each analysis parameter set is obtained, the proportion of the same parameter in each analysis parameter set is calculated, and the proportion of the same parameter in the parameter set of each analysis parameter set is calculated. The first value and the second value of each analysis parameter set are respectively called the first value and the second value of each analysis parameter set. The average of the first value and the second value of each analysis parameter set is calculated, which is used as the overlap rate of each analysis parameter set and the parameter set.

[0058] If a certain marker analysis parameter is in the marker parameter set, it means that the marker analysis parameter is successfully matched with the marker parameter set. If a certain marker analysis parameter is not in the marker parameter set, it means that the marker analysis parameter is not successfully matched with the marker parameter set. In this way, it is determined whether each marker analysis parameter is successfully matched with the marker parameter set.

[0059] In a specific embodiment, the analysis of the loss rate of each sensor in the multi-array sensor is as follows: the environment of the historical monitoring of the monitoring area is obtained from the database, and it is compared with the environment of the current monitoring area. The historical monitoring of the environment of the current monitoring area is called the marker historical monitoring.

[0060] The real-time value of each information of each sensor in the multi-array sensor in the marker historical monitoring process is obtained from the database, and the real-time characteristic value of each sensor in the multi-array sensor in the marker historical monitoring process is obtained. At the same time, the standard characteristic value of each sensor in the multi-array sensor is obtained from the database, and the difference between the real-time characteristic value of each sensor in the multi-array sensor in the marker historical monitoring process is calculated, which is used as the real-time loss of each sensor in the multi-array sensor in the marker historical monitoring process.

[0061] It should be noted that the real-time characteristic value of the sensor is obtained by the self-encoder, and the self-encoder is prior art, and the specific process is as follows: the real-time values of each information of the sensor are subjected to data cleaning and normalization processing, and an input layer, two encoder hidden layers, an encoding layer, two decoder hidden layers and an output layer of the encoder are constructed, the real-time values of each information are divided into a training set, a test set and a validation set, the encoder is trained, the processed real-time values of each information are input into the encoder, and the real-time characteristic value of the sensor is extracted.

[0062] It should be further noted that the standard characteristic value of the sensor refers to that before the sensor is formally put into use, a worker obtains the information values of the sensor through experiments, and obtains the standard characteristic value of the sensor based on the information values of the sensor.

[0063] The real-time characteristic value of the sensor is subtracted from the standard characteristic value of the sensor to obtain a value, and the average value of the value is taken as the difference value of the real-time characteristic value of the sensor.

[0064] According to the real-time loss of each sensor in the multi-array sensor in the historical monitoring process of each mark, a loss curve graph of each sensor in the multi-sensor array is obtained, and the loss change rate of each sensor in the multi-array sensor is obtained therefrom.

[0065] It should be noted that the real-time monitoring time is taken as the x-axis, and the difference value of the real-time characteristic value is taken as the y-axis to construct the loss curve graph, and the loss curve graph of each sensor in the multi-sensor array in the historical monitoring process of each mark is obtained in this way, and the loss curve graph of each sensor in the multi-sensor array is obtained by the self-encoder, and the specific process is the same as that of obtaining the real-time characteristic value of the sensor by the self-encoder.

[0066] It should be further noted that the central difference method is used to calculate each point in the loss curve graph of each sensor in the multi-sensor array, the slope of each point is obtained, the slopes of each point are compared, the maximum slope is selected, and the maximum slope is taken as the loss change rate of each sensor in the multi-array sensor.

[0067] The data analysis module is used to obtain the real-time recorded parameters, and analyze whether a disaster occurs in the monitored overhead transmission line, and if a disaster occurs, analyze the disaster occurrence risk of the overhead transmission line in other monitored areas.

[0068] In one specific embodiment, the data analysis module specifically processes as follows: acquiring real-time recorded parameters of the overhead transmission line in the monitoring area, and determining whether a disaster occurs to the overhead transmission line in the monitoring area; when a disaster occurs to the overhead transmission line in the monitoring area, issuing a warning, and analyzing the disaster level of the overhead transmission line in the current monitoring area; acquiring the maintenance resources of the overhead transmission line in the current monitoring area from the database; according to the disaster level of the overhead transmission line in the current monitoring area and the maintenance resources, analyzing the disaster risk of the overhead transmission line in other monitoring areas; and if the disaster risk of the overhead transmission line in other monitoring areas is high, issuing a warning notification to other monitoring areas.

[0069] It should be noted that the real-time recorded parameters of the overhead transmission line are acquired, and the parameter characteristics of the overhead transmission line are acquired according to the method of acquiring real-time characteristic values of the sensor, and are matched with the parameter characteristics corresponding to each fault type in the database; if the matching is successful, it means that a disaster occurs to the overhead transmission line in the monitoring area, otherwise, it means that no disaster occurs to the overhead transmission line in the monitoring area.

[0070] In which, according to the method of determining whether the analysis parameters match the marker parameter set, it is determined whether the parameter characteristics of the overhead transmission line match the parameter characteristics corresponding to each fault type.

[0071] In the above, the analysis of the disaster level of the overhead transmission line in the current monitoring area specifically processes as follows: acquiring real-time recorded parameters of the overhead transmission line in the monitoring area, and acquiring real-time parameter characteristics according to the real-time recorded parameters, while acquiring standard parameter characteristics of the overhead transmission line from the database; based on the real-time parameter characteristics and the standard parameter characteristics of the overhead transmission line, acquiring the parameter characteristic change trend and the parameter characteristic change rate.

[0072] It should be noted that the real-time parameter characteristics, the parameter characteristic change trend and the parameter characteristic change rate are acquired according to the method of acquiring real-time characteristic values of the sensor.

[0073] According to the parameter characteristic change trend and the parameter characteristic change rate, the disaster coefficient of the overhead transmission line is determined; if the disaster coefficient is 1, it means that the disaster level of the overhead transmission line is level one; if the disaster coefficient is 2, it means that the disaster level of the overhead transmission line is level two; if the disaster coefficient is 3, it means that the disaster level of the overhead transmission line is level three; if the disaster coefficient is 4, it means that the disaster level of the overhead transmission line is level four; in this way, the disaster level of the overhead transmission line in the current monitoring area is acquired.

[0074] It should be noted that if the parameter characteristic change trend is tending to the standard parameter characteristic, and the parameter characteristic change rate gradually increases, the disaster coefficient is 1, if the parameter characteristic change trend is tending to the standard parameter characteristic, and the parameter characteristic change rate gradually decreases, the disaster coefficient is 2, if the parameter characteristic change trend is away from the standard parameter characteristic, and the parameter characteristic change rate gradually decreases, the disaster coefficient is 3, if the parameter characteristic change trend is away from the standard parameter characteristic, and the parameter characteristic change rate gradually increases, the disaster coefficient is 4.

[0075] In the above, the analysis of the disaster occurrence risk of the overhead transmission line in other monitoring areas is as follows: the maintenance resources of the overhead transmission line in the current monitoring area are matched with the disaster grade of the overhead transmission line in the current monitoring area, and it is judged whether the maintenance resources of the overhead transmission line in the current monitoring area are sufficient.

[0076] It should be noted that the maintenance resources required for different disaster grades are obtained from the database, and the required maintenance resources of the monitoring area are obtained according to the disaster grade of the overhead transmission line in the current monitoring area. The maintenance resources of the overhead transmission line in the current monitoring area are compared with the required maintenance resources of the monitoring area. If the maintenance resources of the overhead transmission line in the current monitoring area are less than the required maintenance resources of the monitoring area, it means that the maintenance resources of the overhead transmission line in the current monitoring area are insufficient, otherwise, it means that the maintenance resources of the overhead transmission line in the current monitoring area are sufficient.

[0077] If the maintenance resources of the overhead transmission line in the current monitoring area are insufficient, it means that the overhead transmission line in the current monitoring area cannot complete maintenance, at this time, the disaster occurrence risk of the overhead transmission line in other monitoring areas is high.

[0078] If the maintenance resources of the overhead transmission line in the current monitoring area are sufficient, the propagation rate of the disaster of the overhead transmission line in the monitoring area is obtained, and it is compared with the maintenance speed corresponding to the disaster grade of the overhead transmission line, to obtain the disaster return value. If the disaster return value is 1, it means that the disaster occurrence risk of the overhead transmission line in other monitoring areas is high, if the disaster return value is 0, it means that the disaster occurrence risk of the overhead transmission line in other monitoring areas is low.

[0079] It should be noted that if the propagation rate of the disaster of the overhead transmission line in the monitoring area is less than the maintenance speed corresponding to the disaster grade of the overhead transmission line, the disaster return value is 0, otherwise, the disaster return value is 1.

[0080] In the above, the acquisition of the propagation rate of the disaster of the overhead transmission line in the monitoring area is specifically as follows: real-time environmental parameters in the monitoring area are acquired, the change characteristics of the environment in the monitoring area are acquired based on the environmental parameters, the state of the overhead transmission line at each historical monitoring time in the monitoring area and the change characteristics of the environment are acquired from a database, and the return value of each historical monitoring is analyzed, and each historical monitoring with a return value of 1 is referred to as a similar historical monitoring.

[0081] It should be noted that the real-time environmental parameters in the monitoring area are acquired from a local meteorological management system, and the change characteristics of the environment in the monitoring area are acquired according to the method of acquiring the real-time characteristic values of the sensors.

[0082] It should be further noted that if the state of the overhead transmission line at a historical monitoring time is poor and the change characteristics of the environment are the same as the change characteristics of the environment in the monitoring area, the return value of the historical monitoring is 1, otherwise, the return value is 0.

[0083] The real-time propagation rate of the disaster in each similar historical monitoring process is acquired from the database, the disaster propagation rate curve is acquired according to the real-time propagation rate of the disaster in each similar historical monitoring process, the environmental characteristics of the current monitoring area are acquired, and are matched with the disaster propagation rate curve to acquire the propagation rate of the disaster of the overhead transmission line in the monitoring area.

[0084] It should be noted that the x-axis of the disaster propagation rate curve is the environmental characteristics, and the y-axis is the disaster propagation rate, and the disaster propagation rate curve is acquired according to the method of acquiring the real-time characteristic values of the sensors.

[0085] The early warning terminal is used for early warning when the transmission stability of the overhead transmission line in the monitoring area is poor.

[0086] The database is used for storing information at each historical monitoring time in the monitoring area, standard characteristic values of each sensor in the multi-array sensor, each parameter corresponding to each fault type of the overhead transmission line, standard parameter characteristics of the overhead transmission line, and maintenance resources of the overhead transmission line in the current monitoring area.

[0087] The embodiment of the application acquires each parameter of the overhead transmission line in the monitoring area in real time through the multi-sensor array, acquires information at each historical monitoring time in the monitoring area from the database, sets a transmission rule of each parameter, records the real-time transmission of each parameter, analyzes whether a disaster occurs to the overhead transmission line in the monitoring area, analyzes the disaster occurrence risk of the overhead transmission line in other monitoring areas if a disaster occurs, ensures that the overhead transmission line in other monitoring areas can be protected in time, and ensures the timeliness of the transmission of the parameters required for analysis, and ensures the consistency of the acquisition time of each parameter analyzed and the effectiveness of the analysis of the overhead transmission line in the analysis process.

[0088] The examples described in the present application are not limited to the specific ways listed in the above embodiments, and the above examples are only exemplary descriptions provided for the convenience of understanding the present application and do not constitute a limitation on the scope of protection of the present application. Any modifications, equivalent replacements, etc. made within the spirit and principle of the present application shall be included in the scope of protection.

[0089] The above is only an example and description of the concept of the present application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the concept of the present application or exceed the scope defined in the specification, which shall belong to the protection scope of the present application.

Claims

1. A smart monitoring system for overhead transmission lines capable of real-time recording, characterized in that, Includes the following modules: The data acquisition module is used to install a multi-sensor array on the overhead transmission lines in the monitoring area, and to collect various parameters of the overhead transmission lines in the monitoring area in real time through the multi-sensor array; The data recording module is used to retrieve information from the database of each historical monitoring period of the monitoring area when the multi-array sensor collects various parameters of the overhead transmission line in the monitoring area. Based on the information of each historical monitoring period of the monitoring area, the transmission rules of each parameter are set, and the parameters are transmitted and recorded in real time according to the set transmission rules. The specific process is as follows: the environment of the current monitoring area is obtained, and based on the environment of the current monitoring area, the loss change rate of each sensor in the multi-array sensor is analyzed. At the same time, the fault type of the overhead transmission line in the current monitoring area is predicted and referred to as the marked fault type of the overhead transmission line in the current monitoring area. Monitor data communication link information, and set transmission rules for each parameter based on the marked fault type of the overhead transmission line in the current monitoring area, the loss of each sensor in the multi-array sensor and data communication link information. After each parameter is monitored, the parameters are transmitted and recorded in real time according to the set transmission rules. The transmission rules for setting each parameter are as follows: obtain the loss and loss change rate of each sensor in the current multi-array sensor, and obtain the parameters corresponding to the marked fault types of the overhead transmission lines in the current monitoring area from the database. These are called each fault parameter, and the other parameters collected by the multi-array sensor are called each marked parameter. The loss and loss change rate of each sensor that collects each marker parameter are obtained, and the return value of each marker parameter is analyzed. The marker parameters with a return value of 1 are called the priority upload parameters, and the marker parameters with a return value of 0 are called the secondary marker parameters. Prioritize the transmission of each fault parameter and each priority upload parameter. When the transmission of each fault parameter and each priority upload parameter is completed, transmit each secondary marker parameter. At the same time, monitor the data communication link information in real time to determine whether to enable the backup communication link. If enabled, the parameters that are being uploaded are referred to as parameters to be allocated, and the data communication link of each parameter to be allocated is adjusted. The data analysis module is used to acquire various parameters recorded in real time and analyze whether a disaster has occurred on the overhead transmission lines in the monitoring area. If a disaster has occurred, it analyzes the risk of disaster on overhead transmission lines in other monitoring areas. The early warning terminal is used to issue early warnings when a disaster occurs on overhead transmission lines in the monitored area; The database is used to store information from each historical monitoring session in the monitoring area, the standard characteristic values ​​of each sensor in the multi-array sensor, the parameters corresponding to each fault type of the overhead transmission line, the standard parameter characteristics of the overhead transmission line, and the maintenance resources of the overhead transmission line in the current monitoring area.

2. The intelligent monitoring system for overhead transmission lines capable of real-time recording according to claim 1, characterized in that, The specific process for analyzing the loss change rate of each sensor in the multi-array sensor is as follows: The environment of the monitoring area during each historical monitoring is obtained from the database and compared with the environment of the current monitoring area. The historical monitoring with the same environment as the current monitoring area is called the marked historical monitoring. The system retrieves real-time values ​​of each sensor in the multi-array sensor array during the historical monitoring of each marker from the database, and also retrieves the real-time characteristic values ​​of each sensor in the multi-array sensor array during the historical monitoring of each marker. At the same time, it retrieves the standard characteristic values ​​of each sensor in the multi-array sensor array from the database, calculates the difference between the real-time characteristic values ​​of each sensor in the multi-array sensor array during the historical monitoring of each marker, and uses it as the real-time loss of each sensor in the multi-array sensor array during the historical monitoring of each marker. Based on the real-time loss of each sensor in the multi-array sensor during the historical monitoring process of each marker, the loss curve of each sensor in the multi-sensor array is obtained, and the loss change rate of each sensor in the multi-array sensor is obtained from it.

3. The intelligent monitoring system for overhead transmission lines capable of real-time recording according to claim 1, characterized in that, The specific process for adjusting the data communication links for each parameter to be assigned is as follows: Obtain the position of each parameter to be assigned on the data communication link. Based on the position of each parameter to be assigned on the data communication link, tag each parameter to be assigned. The tags include "to continue transmission" and "to be retransmitted". The parameters that have been transmitted and the parameters to be assigned that are tagged as "to continue transmission" are called each main link parameter. The parameters to be assigned that are tagged as "to be retransmitted" are called each parameter to be analyzed. Determine whether each parameter to be analyzed is related to each main link parameter. Parameters to be analyzed that are related to each main link parameter are called related parameters, and parameters to be analyzed that are not related to each main link parameter are called irrelevant parameters. Then, parameters and related parameters that are tagged to continue transmission will continue to be transmitted on the current data link communication link, and irrelevant parameters will be reassigned to the backup communication link for transmission.

4. The intelligent monitoring system for overhead transmission lines capable of real-time recording according to claim 3, characterized in that, The specific process for determining whether each parameter to be analyzed is related to each main link parameter is as follows: To determine whether each parameter to be analyzed is a fault parameter, the parameters to be analyzed that are fault parameters are called relevant parameters, and the parameters to be analyzed that are not fault parameters are called marked analysis parameters. Then there is a correlation between each relevant parameter and each main link parameter. The system retrieves parameters from historical monitoring data from the database and creates sets of analytical parameters. It also categorizes the parameters of each main link into a separate parameter set. The system compares each set of analytical parameters with the other set to determine their overlap rate. The set with the highest overlap rate is designated as the "marked parameter set." Each marked analytical parameter is then matched against this set. If a marked analytical parameter successfully matches the marked parameter set, it indicates a correlation between that parameter and the main link parameters; otherwise, it indicates no correlation. This method is used to determine whether each marked analytical parameter is associated with any of the main links.

5. The intelligent monitoring system for overhead transmission lines capable of real-time recording according to claim 1, characterized in that, The data analysis module operates as follows: The system acquires real-time recorded parameters of overhead transmission lines within the monitoring area and determines whether a disaster has occurred on these lines. When a disaster occurs, an early warning is issued, and the system analyzes the disaster level of overhead transmission lines within the current monitoring area. It also retrieves maintenance resources for overhead transmission lines within the current monitoring area from the database. Based on the disaster level and maintenance resources of overhead transmission lines within the current monitoring area, the system analyzes the disaster risk of overhead transmission lines in other monitoring areas. If the disaster risk of overhead transmission lines in other monitoring areas is high, an early warning notification is issued to those other monitoring areas.

6. The intelligent monitoring system for overhead transmission lines capable of real-time recording according to claim 5, characterized in that, The specific process for analyzing the disaster level of overhead transmission lines in the current monitoring area is as follows: The system acquires various parameters of overhead transmission lines recorded in real time in the monitoring area, and obtains real-time parameter characteristics based on the real-time recorded parameters. At the same time, it retrieves standard parameter characteristics of overhead transmission lines from the database. Based on the real-time parameter characteristics and the standard parameter characteristics of overhead transmission lines, it obtains the parameter characteristic change trend and parameter characteristic change rate. Based on the trend and rate of change of parameter characteristics, the disaster coefficient of overhead transmission lines is determined. If the disaster coefficient is 1, the disaster level of the overhead transmission line is level one; if the disaster coefficient is 2, the disaster level of the overhead transmission line is level two; if the disaster coefficient is 3, the disaster level of the overhead transmission line is level three; and if the disaster coefficient is 4, the disaster level of the overhead transmission line is level four. The disaster level of overhead transmission lines in the current monitoring area is obtained by this method.

7. The intelligent monitoring system for overhead transmission lines capable of real-time recording according to claim 5, characterized in that, The specific process for analyzing the disaster risk of overhead transmission lines in other monitoring areas is as follows: The maintenance resources of overhead transmission lines in the current monitoring area are matched with the disaster level of overhead transmission lines in the current monitoring area to determine whether the maintenance resources of overhead transmission lines in the current monitoring area are sufficient. If the maintenance resources for overhead transmission lines in the current monitoring area are insufficient, it means that the maintenance of overhead transmission lines in the current monitoring area cannot be completed. At this time, the risk of disasters occurring on overhead transmission lines in other monitoring areas is high. If there are sufficient maintenance resources for overhead transmission lines in the current monitoring area, the propagation rate of the disaster of overhead transmission lines in the monitoring area is obtained and compared with the maintenance speed corresponding to the disaster level of overhead transmission lines to obtain the disaster return value. If the disaster return value is 1, it means that the disaster risk of overhead transmission lines in other monitoring areas is high. If the disaster return value is 0, it means that the disaster risk of overhead transmission lines in other monitoring areas is low.

8. The intelligent monitoring system for overhead transmission lines capable of real-time recording according to claim 7, characterized in that, The specific process for obtaining the propagation rate of overhead transmission line disasters within the monitoring area is as follows: Real-time environmental parameters within the monitoring area are obtained, and the environmental change characteristics within the monitoring area are obtained based on the environmental parameters. The status and environmental change characteristics of overhead transmission lines during each historical monitoring of each marker in the monitoring area are obtained from the database. At the same time, the return values ​​of each historical monitoring are analyzed, and each historical monitoring with a return value of 1 is called a similar historical monitoring. The real-time propagation rate of the disaster during each similar historical monitoring process is obtained from the database. Based on the real-time propagation rate of the disaster during each similar historical monitoring process, a disaster propagation rate curve is obtained. The environmental characteristics of the current monitoring area are obtained and matched with the disaster propagation rate curve to obtain the propagation rate of the overhead transmission line disaster in the monitoring area.

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