Automatic monitoring method, system and equipment for power distribution station house and medium

Abstract

The invention relates to the technical field of power distribution station monitoring, and discloses an automatic monitoring method, system, equipment and medium for power distribution station houses. Real-time noise data and real-time partial discharge data collected by intelligent sensors for the power distribution station houses based on time synchronization instructions are received; judging the partial discharge state of the high-voltage switch cabinet in each power distribution station house through the real-time data, and taking the power distribution station house with abnormal partial discharge as an abnormal power distribution station house; the target acquisition frequency is determined according to the real-time partial discharge data of each abnormal power distribution station house so as to generate a frequency adjustment instruction and send the frequency adjustment instruction to each abnormal power distribution station house, and then an intelligent sensor in each abnormal power distribution station house is controlled to perform real-time data acquisition based on the target acquisition frequency, so that the monitoring degree and the monitoring efficiency of the power distribution station house are improved. The degree of dependence on manual data collection in a station is reduced, the collection frequency does not need to be configured manually, and the automation degree and the monitoring strength are further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution station monitoring, and in particular to an automatic monitoring method, system, equipment and medium for power distribution station buildings. Background Art

[0002] As a key node in the power system, the safe operation of distribution stations is directly related to the reliable power supply of residents and enterprises. However, distribution stations in some areas are located in remote areas, and the frequency of manual inspections cannot be guaranteed, which makes it difficult to collect monitoring data from distribution stations. In addition, distribution stations in most areas have insufficient inspection personnel and operation and maintenance management problems that are difficult to cover with daily inspections. Therefore, the current automated monitoring efficiency of distribution stations is relatively low.

[0003] It can be seen that how to improve the efficiency of automated monitoring of distribution stations has become a technical problem that technical personnel in this field need to solve urgently. Summary of the invention

[0004] The present invention provides an automatic monitoring method, system, equipment and medium for a power distribution station, which solves the problem of how to improve the automatic monitoring efficiency of the power distribution station.

[0005] In order to solve the above technical problems, the first aspect of the present invention provides an automatic monitoring method for a power distribution station, comprising: Receive real-time data collected by each intelligent sensor on each power distribution station based on time synchronization instructions; the real-time data includes real-time noise data and real-time partial discharge data; Judging whether there is any abnormality in the partial discharge of each high-voltage switchgear according to the real-time noise data and the real-time partial discharge data, and judging the distribution substation to which the high-voltage switchgear with the abnormal partial discharge belongs as an abnormal distribution substation according to the judgment result; The target acquisition frequency is determined by the real-time partial discharge data of each abnormal distribution substation, and a frequency adjustment instruction is generated according to the target acquisition frequency and sent to each abnormal distribution substation to control each intelligent sensor to collect real-time data based on the target acquisition frequency, thereby realizing automated monitoring of each distribution substation.

[0006] As one of the preferred solutions, the time synchronization instruction includes the next synchronization acquisition time and the next synchronization acquisition frequency; wherein, The receiving of real-time data collected by each intelligent sensor on each distribution station based on the time synchronization instruction includes: Sending the time synchronization instruction to the power distribution digital access node device, so that the power distribution digital access node device generates a DRX configuration instruction according to the time synchronization instruction and sends it to each of the smart sensors arranged in each of the power distribution stations; Receive the real-time data; the real-time data is the real-time noise data and real-time partial discharge data collected by each of the smart sensors in response to the DRX configuration instruction and based on the next synchronous collection frequency at the next synchronous collection time.

[0007] As one of the preferred solutions, judging whether there is an abnormality in the partial discharge of each high-voltage switch cabinet according to the real-time noise data and the real-time partial discharge data includes: According to the magnitude relationship between the real-time partial discharge data and the preset alarm threshold, an abnormality judgment is made on each of the high-voltage switch cabinets; Based on the real-time noise data and the real-time partial discharge data, a secondary abnormality judgment is performed on the high-voltage switchgear that has passed the primary abnormality judgment to obtain the judgment result.

[0008] As one of the preferred solutions, the abnormality judgment of each high-voltage switch cabinet is performed based on the magnitude relationship between the real-time partial discharge data and the preset alarm threshold, including: When the real-time partial discharge data is greater than the preset alarm threshold, it is determined that the corresponding high-voltage switchgear passes the primary abnormality judgment; When the real-time partial discharge data is not greater than the preset alarm threshold, it is determined that the partial discharge of the corresponding high-voltage switch cabinet is normal.

[0009] As one of the preferred solutions, the method of performing a secondary abnormality judgment on the high-voltage switchgear that has passed the primary abnormality judgment based on the real-time noise data and the real-time partial discharge data to obtain the judgment result includes: Acquire historical noise data and historical partial discharge data of a distribution station to which the high-voltage switchgear that has passed the primary abnormality judgment belongs, and quantify a first increment of the real-time noise data relative to the historical noise data, and a second increment of the real-time partial discharge data relative to the historical partial discharge data; According to the relationship between the ratio of the second increment to the first increment and a preset ratio threshold, performing a secondary abnormality judgment on the high-voltage switchgear that has passed the primary abnormality judgment; When the ratio is less than the preset ratio threshold, the partial discharge of the corresponding high-voltage switch cabinet is determined to be normal, and when the ratio is not less than the preset ratio threshold, the partial discharge of the corresponding high-voltage switch cabinet is determined to be abnormal.

[0010] As one of the preferred solutions, the generating of frequency adjustment instructions according to the target acquisition frequency and sending the instructions to each abnormal power distribution station comprises: Acquiring configuration information of each of the abnormal power distribution substations, and determining the operation level of each of the abnormal power distribution substations according to the configuration information, so as to classify each of the abnormal power distribution substations; The target acquisition frequency is adjusted according to the level of each abnormal power distribution station to generate a frequency adjustment instruction and send it to each abnormal power distribution station.

[0011] As one of the preferred solutions, the frequency adjustment instruction is generated according to the target acquisition frequency and sent to each of the abnormal power distribution stations, further comprising: Acquire real-time humidity data and real-time temperature data of each abnormal power distribution station; When the real-time humidity data reaches a preset humidity threshold, the target acquisition frequency is adjusted based on an adjustment amount corresponding to the preset humidity threshold to generate a frequency adjustment instruction and send it to each of the abnormal power distribution stations; Or, when the change rate of the real-time temperature data reaches a preset change threshold, the target acquisition frequency is adjusted based on the adjustment amount corresponding to the preset change threshold to generate a frequency adjustment instruction and send it to each of the abnormal distribution stations.

[0012] A second aspect of the present invention provides an automatic monitoring system for a power distribution station, comprising: A data receiving module is used to receive real-time data collected by each intelligent sensor on each power distribution station based on a time synchronization instruction; the real-time data includes real-time noise data and real-time partial discharge data; An abnormality judgment module is used to judge whether there is an abnormality in the partial discharge of each high-voltage switch cabinet according to the real-time noise data and the real-time partial discharge data, and judge the power distribution station to which the high-voltage switch cabinet with abnormal partial discharge belongs as an abnormal power distribution station according to the judgment result; The frequency adjustment module is used to determine the target acquisition frequency through the real-time partial discharge data of each abnormal distribution station, generate a frequency adjustment instruction according to the target acquisition frequency and send it to each abnormal distribution station, so as to control each intelligent sensor to collect real-time data based on the target acquisition frequency, thereby realizing automatic monitoring of each distribution station.

[0013] A third aspect of the present invention provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for automated monitoring of a distribution station as described above is implemented.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the automated monitoring method for the distribution station room as described above is implemented.

[0015] Compared with the prior art, the embodiments of the present invention have the following advantages: (1) Real-time data is collected by intelligent sensors based on time synchronization instructions, ensuring the accuracy and timeliness of the data. The collection of real-time noise data and real-time partial discharge data makes it easy to immediately capture changes in the environment in the distribution station, especially the partial discharge of the high-voltage switchgear, making it possible to discover potential problems in a timely manner. (2) Whether there is any abnormality in the partial discharge of the high-voltage switchgear is determined based on the real-time noise data and partial discharge data, thus avoiding the errors and delays of manual judgment and improving the accuracy and efficiency of judgment. The target acquisition frequency is determined by the real-time partial discharge data of the abnormal distribution station, and the dynamic adjustment of the acquisition frequency is realized to more effectively capture abnormal data while avoiding the waste of resources caused by excessive acquisition under normal circumstances. (3) Improve the monitoring level and efficiency of distribution substations, reduce the reliance on manual data collection, and eliminate the need for manual configuration of data collection frequency, further improve the degree of automation and monitoring, reduce the need for manual intervention, and reduce operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the implementation mode will be briefly introduced below. Obviously, the drawings described below are only some implementation modes of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of an automatic monitoring method for a power distribution station provided by a certain embodiment of the present invention; Figure 2 It is a structural diagram of an automatic monitoring system for a power distribution station provided by a certain embodiment of the present invention; Figure 3 It is a structural diagram of an electronic device provided by a certain embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings and embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] In the description of this application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0020] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two components. The terms "vertical", "horizontal", "left", "right", "upper", "lower" and similar expressions used herein are for illustrative purposes only, and do not indicate or imply that the system or component referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0021] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0022] In one embodiment, if Figure 1 As shown, the first aspect of the present invention provides an automatic monitoring method for a power distribution station, comprising: S1, receiving real-time data collected by each intelligent sensor from each power distribution station based on a time synchronization instruction; the real-time data includes real-time noise data and real-time partial discharge data; the time synchronization instruction includes the next synchronization collection time and the next synchronization collection frequency; Wherein, step S1 comprises: Sending the time synchronization instruction to the power distribution digital access node device, so that the power distribution digital access node device generates a DRX configuration instruction according to the time synchronization instruction and sends it to each of the smart sensors arranged in each of the power distribution stations; Receive the real-time data; the real-time data is the real-time noise data and real-time partial discharge data collected by each of the smart sensors in response to the DRX configuration instruction and based on the next synchronous collection frequency at the next synchronous collection time.

[0023] Specifically, the present invention adopts a cloud-edge collaborative approach, and monitors the distribution station by setting up a cloud, edge, and end-side and the digital intelligent management and control system of the distribution station formed by them. The system realizes automatic monitoring of the distribution station by deploying a variety of intelligent sensors in the distribution station in remote areas, and uses multi-sensory data to improve the digital intelligence level of the distribution station, reducing the pressure of frequent entry of operation and maintenance personnel; wherein, the cloud includes a distribution network cloud master station for managing the distribution station, which can be deployed on the distribution automation platform, responsible for the status overview, data display, data storage and alarm push of the distribution station, and the distribution network cloud master station can be deployed on one or more computing devices to realize the automatic monitoring method of the distribution station. The edge side includes a distribution digital access node device, which can realize the unified data collection of the main equipment perception equipment and various intelligent sensors through the power transmission and transformation Internet of Things protocol in the south, and can access the distribution network cloud master station through the 4G or 5G private network in the north. The end side includes various intelligent sensors, which are responsible for collecting comprehensive status information of the distribution station, realizing data collection of the main equipment in the distribution station, and then realizing abnormal monitoring thereof.

[0024] Among them, various intelligent sensors included in the end side can be deployed in the distribution station, including main equipment sensing equipment, dynamic environment sensors, security sensors and fire sensors, etc., and the main equipment sensing equipment includes partial discharge sensors, which include ultrasonic partial discharge sensors and dual ultrasonic transient voltage partial discharge sensors, etc. Because one or more high-voltage switch cabinets are deployed in the distribution station, the partial discharge sensor can be deployed on the high-voltage switch cabinet to detect the ultrasonic parameters of the partial discharge of the high-voltage switch cabinet, strengthen the local insulation abnormality monitoring capability of the high-voltage switch cabinet, and thus improve the perception capability of the main equipment (such as the high-voltage switch cabinet) in the distribution station.

[0025] The operation levels of distribution substations include conventional operation and maintenance substations and key operation and maintenance substations. One or more ultrasonic partial discharge sensors, smoke detectors, water immersion sensors, temperature and humidity sensors, SF 6 With O 2 One or more dual ultrasonic transient ground voltage partial discharge sensors, smoke detectors, water immersion sensors, temperature and humidity sensors, SF 6 With O 2Sensors and access control sensors, among which a dual ultrasonic transient ground voltage partial discharge sensor can be set as a background noise sensor. Partial discharge sensors include ultrasonic partial discharge sensors and dual ultrasonic transient ground voltage partial discharge sensors, etc., which are suitable for data collection of environmental noise and high-voltage switch cabinets; among them, the dual ultrasonic transient ground voltage partial discharge sensor is powered by a battery, which can collect 20kHz~100kHz ultrasonic partial discharge signals and 3MHz~100MHz transient ground voltage generated by partial discharge of electrical equipment, and adopts partial discharge identification algorithm, combined with node equipment and system application, to realize identification of partial discharge and interference. It can be specifically deployed in the interval between incoming and outgoing lines or high-voltage switch cabinets. The outward ultrasonic probe of a dual ultrasonic transient ground voltage partial discharge sensor is the source of background noise value, which can be used as a background noise sensor.

[0026] Security sensors include access control sensors, which can be installed above the walls of the access doors of the distribution station, or installed on the door frame using magnetic control strips, or installed on the door lintel using permanent magnets. They are used to monitor the opening and closing status of the station door and enhance the alarm capability for illegal intrusions into the distribution station. Installing security sensors can enhance the security capabilities of the distribution station.

[0027] Dynamic environment sensors include water immersion sensors, temperature and humidity sensors and SF 6 With O 2 Sensors, etc.; Among them, each substation can be installed with a water sensor, which can be installed near the gap of the top cable cover, or installed at a height of 15cm from the detection electrode to the bottom of the cable trench, to monitor the abnormal water level in the station. The water sensor can be installed in the cable trench of the substation to achieve flood warning capabilities; the temperature and humidity sensor can be installed next to the high-voltage switch cabinet of the substation or in the measured environment, and can be installed at a suitable position on the wall or magnetically attached to the side of the high-voltage switch cabinet to monitor the temperature and humidity of the station environment, improve the perception of the impact of abnormal temperature and humidity on the main equipment, so that the obtained monitoring data adopts the power transmission and transformation Internet of Things protocol, and is sent to the corresponding distribution digital access node equipment through wireless LoRa communication. The distribution digital access node equipment then transmits the monitoring data to the upper-level monitoring system through Ethernet or RS485 / RS232 and other communication methods to achieve remote monitoring and early warning of temperature and humidity and other functions; SF 6 With O 2 The sensor can be installed on the cabinet surface of the high-voltage switch cabinet, on the wall of the station near the power socket, the maintenance power box, or directly below the distribution digital access node equipment, 30 cm above the ground, to improve the air tightness monitoring capability of the switch and reduce the risk of suffocation for operation and maintenance personnel. 6 Insulation, monitoring its content to determine whether there is a leak, can prevent people from inhaling harmful gases, and installing dynamic environment sensors can improve the environmental perception capabilities of the distribution station.

[0028] Fire sensors include smoke detectors, etc. One smoke detector can be deployed in each distribution station. It can be installed at a high place in the distribution station and deployed at the center of the top of the station to monitor the smoke concentration in the station and improve fire warning and emergency response capabilities. The installation of fire sensors can enhance the fire-fighting capabilities of the distribution station.

[0029] The distribution digital access node equipment communicates with the computing equipment and various intelligent sensors (including partial discharge sensors) deployed in the distribution station. When the computing equipment communicates with the intelligent sensors, it can communicate with the intelligent sensors through the distribution digital access node equipment. The distribution digital access node equipment is used to collect and aggregate the monitoring data of all intelligent sensors in the station. Each intelligent sensor realizes wireless transmission with the distribution digital access node equipment through the Internet of Things protocol of power transmission and transformation equipment, and the distribution digital access node equipment communicates with the distribution network cloud master station in the north direction.

[0030] When the computing device sends a time synchronization instruction to the distribution station, the time synchronization instruction can be sent to the intelligent sensors in the distribution station; in specific implementation, the time synchronization instruction is first sent to the distribution digital access node device, so that the distribution digital access node device generates a DRX configuration instruction according to the next synchronization collection time and the next synchronization collection frequency, and sends the DRX configuration instruction to each intelligent sensor to control it to collect real-time noise data of the environment in the distribution station and real-time partial discharge data of the high-voltage switchgear in the distribution station.

[0031] The partial discharge sensor responds to the DRX configuration instruction and collects real-time partial discharge data based on the corresponding frequency at the corresponding time. The real-time partial discharge data includes partial discharge data for monitoring the components in the cabinet, which characterizes the partial discharge of the components in the cabinet. However, since the environment in which the high-voltage switch cabinet is deployed includes not only the high-voltage switch cabinet, but also other electrical appliances, such as electric lights, cameras, etc., when these components outside the high-voltage switch cabinet are abnormal, such as light flickering, partial discharge will also be generated, and this type of partial discharge signal will also be collected by the partial discharge sensor that monitors the high-voltage switch cabinet. Therefore, when the real-time partial discharge data collected by the partial discharge sensor is abnormal, it may be the partial discharge abnormality of the high-voltage switch cabinet, or it may be the partial discharge signal of the disturbance generated in the environment. In order to determine whether it is the partial discharge abnormality of the high-voltage switch cabinet or the partial discharge signal of the disturbance in the environment when monitoring the distribution station, it is necessary to deploy additional partial discharge sensors in the environment to collect real-time noise data, and compare the real-time noise data with the real-time partial discharge data to determine whether the high-voltage switch cabinet has partial discharge abnormality.

[0032] Therefore, multiple partial discharge sensors are deployed in the distribution station to monitor the data in the distribution station, and each partial discharge sensor may have an independent start time and frequency for data collection. The real-time noise data and real-time partial discharge data collected by these partial discharge sensors may not be collected at the same time; for example, the real-time noise data is collected at the first time, and the real-time partial discharge data is collected at the second time. If the real-time partial discharge data of the switch cabinet is abnormal at the second time, it is impossible to judge whether the environmental noise affects the real-time partial discharge data and causes the abnormality based on the real-time noise data at the first time.

[0033] To this end, the present invention sends a time synchronization instruction from a computing device to a partial discharge sensor, so that the partial discharge sensor starts collecting data at the same collection time specified by the next synchronous collection time, and collects data according to the same collection frequency specified by the synchronous collection frequency. After receiving the time synchronization instruction sent by the computing device, the distribution digital access node device first parses the time synchronization instruction to determine the next synchronous collection time and the next synchronous collection frequency; then generates a DRX configuration instruction based on the next synchronous collection time and the next synchronous collection frequency, and sends the DRX configuration instruction to each partial discharge sensor; wherein the DRX configuration instruction includes the DRX cycle duration, that is, how long a DRX cycle lasts, and also includes a synchronous frame number, which specifies the DRX cycle in which the synchronous collection data is collected. The DRX cycle duration is determined according to the next synchronous collection frequency, the synchronous frame number is determined according to the next synchronous collection time, and the synchronous collection frequency and the corresponding DRX cycle duration can be set to 20μs.

[0034] This process requires that each partial discharge sensor be set up in advance so that it can receive DRX configuration instructions. During synchronous acquisition, the partial discharge sensor performs time-stamp alignment according to the frame number and the synchronization frame number when the DRX configuration instruction is received, that is, the synchronization signal is generated according to the BCH frame for synchronization, and then multiple partial discharge sensors calculate the next synchronization acquisition time according to the synchronization frame number, and start synchronous data acquisition when the next synchronization acquisition time is reached, thereby realizing DRX scheduling of partial discharge sensors. The present invention deploys intelligent sensors and digital distribution access node equipment in distribution stations to collect and aggregate monitoring data within the station, and deploys a digital distribution network cloud master station on the cloud side to realize comprehensive, real-time and continuous monitoring of multiple distribution stations, and uses multi-source perception data to improve the intelligence level and automated monitoring level of distribution station operation and maintenance, thereby reducing the pressure of frequent station entry for operation and maintenance personnel.

[0035] S2. judging whether there is any abnormality in the partial discharge of each high-voltage switchgear according to the real-time noise data and the real-time partial discharge data, and judging the distribution substation to which the high-voltage switchgear with the abnormal partial discharge belongs as an abnormal distribution substation according to the judgment result; In one embodiment, judging whether there is an abnormality in the partial discharge of each high-voltage switch cabinet according to the real-time noise data and the real-time partial discharge data includes: According to the magnitude relationship between the real-time partial discharge data and the preset alarm threshold, an abnormality judgment is made on each of the high-voltage switch cabinets; Based on the real-time noise data and the real-time partial discharge data, a secondary abnormality judgment is performed on the high-voltage switchgear that has passed the primary abnormality judgment to obtain the judgment result.

[0036] Specifically, the present invention can quickly screen out high-voltage switchgear that may have abnormalities by comparing the real-time partial discharge data with the preset alarm threshold, which is simple and direct, and can preliminarily locate the potential source of the fault; then, based on the first abnormality judgment, a second judgment is made in combination with the real-time noise data, which can further eliminate false alarms caused by noise interference and improve the accuracy of fault detection. The present invention combines real-time monitoring technology and data analysis technology to realize intelligent monitoring and abnormal judgment of high-voltage switchgear, providing strong support for the intelligent development of the power industry.

[0037] In one embodiment, the abnormality judgment is performed on each high-voltage switch cabinet according to the magnitude relationship between the real-time partial discharge data and the preset alarm threshold, including: When the real-time partial discharge data is greater than the preset alarm threshold, it is determined that the corresponding high-voltage switchgear passes the primary abnormality judgment; When the real-time partial discharge data is not greater than the preset alarm threshold, it is determined that the partial discharge of the corresponding high-voltage switch cabinet is normal.

[0038] Specifically, the present invention does not limit the specific setting value of the preset alarm threshold, which can be determined by an algorithm or based on the experience of historical data, or set as needed, preferably 8dBμV, then the abnormal judgment process is: if the real-time partial discharge data is 8dBμV or less, the partial discharge of the high-voltage switch cabinet is normal; if the real-time partial discharge data is above 8dBμV, the high-voltage switch cabinet passes the abnormal judgment. By setting a reasonable alarm threshold, the present invention can ensure that in most cases, when a partial discharge abnormality occurs in the high-voltage switch cabinet, the system can accurately detect and report it, reduce the possibility of missed reports, and improve the sensitivity of fault detection, thereby improving the automation and intelligent monitoring of the distribution station.

[0039] In one embodiment, the performing of a secondary abnormality judgment on the high-voltage switchgear that has passed the primary abnormality judgment based on the real-time noise data and the real-time partial discharge data to obtain the judgment result includes: Acquire historical noise data and historical partial discharge data of a distribution station to which the high-voltage switchgear that has passed the primary abnormality judgment belongs, and quantify a first increment of the real-time noise data relative to the historical noise data, and a second increment of the real-time partial discharge data relative to the historical partial discharge data; According to the relationship between the ratio of the second increment to the first increment and a preset ratio threshold, performing a secondary abnormality judgment on the high-voltage switchgear that has passed the primary abnormality judgment; When the ratio is less than the preset ratio threshold, the partial discharge of the corresponding high-voltage switch cabinet is determined to be normal, and when the ratio is not less than the preset ratio threshold, the partial discharge of the corresponding high-voltage switch cabinet is determined to be abnormal.

[0040] Specifically, the historical noise data and historical partial discharge data of the high-voltage switch cabinet that has passed an abnormal judgment are obtained, and these historical data can be the real-time data collected last time; then determine the first increment of the real-time noise data relative to the historical noise data and the second increment of the real-time partial discharge data relative to the historical partial discharge data; if the ratio of the second increment to the first increment is less than the preset proportional threshold, it is judged that the increase of the real-time partial discharge data is related to the environmental noise, and the corresponding high-voltage switch cabinet partial discharge is judged to be normal; if the ratio of the second increment to the first increment is not less than the preset proportional threshold, it is judged that the increase of the real-time partial discharge data is not related to the environmental noise, and the corresponding high-voltage switch cabinet partial discharge is judged to be abnormal, and then the distribution substation to which the high-voltage switch cabinet with abnormal partial discharge belongs is judged to be an abnormal distribution substation. The present invention does not limit the specific setting method of the preset proportional threshold, and the preset proportional threshold can be determined by performing multiple tests on the real-time partial discharge data, preferably 1.

[0041] In addition, after determining that the increase in real-time partial discharge data is unrelated to environmental noise, further judgment can be made to improve the accuracy of the judgment of the correlation between the increase in real-time partial discharge data and environmental noise; specifically, it includes obtaining a first partial discharge spectrum of real-time noise data and a second partial discharge spectrum of real-time partial discharge data; determining the similarity between the first partial discharge spectrum and the second partial discharge spectrum; if the similarity is less than a preset similarity threshold, it is determined that the increase in real-time partial discharge data is unrelated to environmental noise, and the partial discharge of the high-voltage switch cabinet is determined to be abnormal. When determining the similarity between the first partial discharge spectrum and the second partial discharge spectrum, an image similarity model can be used for determination, the first partial discharge spectrum and the second partial discharge spectrum are input into the image similarity determination model, and the output value of the image similarity determination model is used as the similarity. The present invention does not limit the specific selected image similarity determination model, and can adopt a model based on feature extraction, a model based on a hash algorithm, a model based on structural similarity, a histogram comparison, a cosine similarity, etc., and the similarity threshold can be set to 50%, and can be adjusted as needed.

[0042] The present invention not only takes into account real-time partial discharge data, but also combines real-time noise data and their incremental changes relative to historical data, so as to more comprehensively evaluate the partial discharge status of the high-voltage switchgear. By comparing the ratio of the real-time partial discharge data increment (the second increment) to the historical partial discharge data increment and the relationship between the real-time noise data increment (the first increment), the real partial discharge anomaly can be more accurately identified, and false alarms caused by noise interference or other factors can be reduced. This not only improves the accuracy of fault detection and the stability and reliability of the system, but also optimizes the operation and maintenance strategy and resource allocation, and promotes the intelligent development of the power industry.

[0043] S3, determining the target acquisition frequency through the real-time partial discharge data of each abnormal power distribution station, generating a frequency adjustment instruction according to the target acquisition frequency and sending it to each abnormal power distribution station, so as to control each intelligent sensor to collect real-time data based on the target acquisition frequency, and realize automatic monitoring of each power distribution station; Specifically, the present invention can determine the target acquisition frequency through the acquisition frequency adjustment interval corresponding to the real-time partial discharge data of each abnormal distribution substation, and multiple acquisition frequency adjustment intervals can be set. For example, when the real-time partial discharge data is above 8dBμV and below 20dBμV, it reaches the attention interval, and the acquisition frequency is set to monitor once every 6 hours; when the real-time partial discharge data is above 20dBμV and below 30dBμV, it reaches the severe interval, and the acquisition frequency is set to monitor once every 2 hours; when the real-time partial discharge data is above 30dBμV, it reaches the maintenance required interval, and the acquisition frequency is set to monitor once every 0.5 hours; the distribution substation can also be inspected in combination with manual entry. For example, when it is in the normal interval, that is, the real-time partial discharge data is below 8dBμV, the distribution substation is inspected once a year; when it is in the attention interval, the distribution substation is inspected once a month; when it is in the severe interval, the distribution substation is inspected once a week; when it is in the maintenance required interval, manual entry is required to re-inspect immediately to check whether power outage for maintenance is required. For example, when the partial discharge in the cabinet is suspected to be abnormal, but the phase characteristics of the partial discharge spectrum do not have the characteristics of the typical partial discharge spectrum. In order to verify the effectiveness of partial discharge monitoring, manual on-site retesting of abnormal monitoring can be performed to give full play to the value of online monitoring and check whether the main equipment is indeed faulty.

[0044] After the target acquisition frequency is determined, a frequency adjustment instruction including the target acquisition frequency to be increased is generated, and the acquisition frequency adjustment instruction is sent to the distribution digital access node device, and the distribution digital access node device sends a DRX configuration instruction to the partial discharge sensor, so that the partial discharge sensor collects monitoring data according to the target acquisition frequency, and the monitoring data collected according to the target acquisition frequency is uploaded to the computing device through the distribution digital access node device. When the real-time partial discharge data collected by the partial discharge sensor decreases, the acquisition frequency can be adjusted accordingly according to the acquisition frequency adjustment interval. If the real-time partial discharge data drops to the normal range, such as below 8 dBμV, the acquisition frequency can be set to be collected every 12 hours.

[0045] In one embodiment, the generating of a frequency adjustment instruction according to the target acquisition frequency and sending the instruction to each abnormal power distribution station comprises: Acquiring configuration information of each of the abnormal power distribution substations, and determining the operation level of each of the abnormal power distribution substations according to the configuration information, so as to classify each of the abnormal power distribution substations; The target acquisition frequency is adjusted according to the level of each abnormal power distribution station to generate a frequency adjustment instruction and send it to each abnormal power distribution station.

[0046] Specifically, the present invention responds to the target collection frequency, and sends a data request instruction to the abnormal distribution substation, and then receives the configuration information sent by the abnormal distribution substation in response to the instruction. The configuration information is used to set the operation level of the distribution substation, and can be actively set by the operation and maintenance personnel or computing equipment of the distribution substation. For example, according to the importance of the load, the key guarantee station is set as the key operation and maintenance station; or according to the historical operation and maintenance data, the distribution station with abnormal real-time partial discharge data in the historical operation and maintenance data is set as the key operation and maintenance station, and then the abnormal distribution substation is classified according to its operation level, and the key operation and maintenance station is set as the first-level distribution substation, and the conventional operation and maintenance station is set as the second-level distribution substation.

[0047] Both conventional operation and maintenance stations and key operation and maintenance stations have undergone intelligent transformation and deployed a variety of intelligent sensors. The fire protection, security, and dynamic environment improvement levels of key operation and maintenance stations are the same as those of conventional operation and maintenance stations, focusing on strengthening the perception and protection capabilities of the main equipment, and upgrading the ultrasonic partial discharge sensor to a dual ultrasonic partial transient ground partial discharge positioning sensor. The partial discharge sensors of conventional operation and maintenance stations include ultrasonic partial discharge sensors, and the partial discharge sensors of key operation and maintenance stations include dual ultrasonic transient ground voltage partial discharge sensors. The dual ultrasonic transient ground voltage partial discharge sensors include ultrasonic probes inside the cabinet, ultrasonic probes outside the cabinet, and transient ground voltage sensors. The monitoring data collected by key operation and maintenance stations also include partial discharge data inside the cabinet, partial discharge data outside the cabinet, and transient ground voltage data.

[0048] The dual ultrasonic partial discharge sensors deployed in key operation and maintenance stations have three improvements compared to conventional operation and maintenance stations. First, they have the ability to collect partial discharge signals outside the cabinet. Ultrasonic probes are installed inside and outside the cabinet to collect partial discharge data inside and outside the cabinet. The high-precision clock of the digital distribution access node equipment can improve the monitoring accuracy. Second, they have the dual collection capabilities of ultrasonic partial discharge and transient ground voltage to enhance the monitoring capability of insulation damage. Third, they have a higher monitoring frequency. The synchronous collection frequency of key operation and maintenance stations is higher than that of conventional operation and maintenance stations.

[0049] Then, the target collection frequency is adjusted according to the level of each abnormal distribution substation. Specifically, the target collection frequency of the secondary distribution substation is adjusted to 12 hours / time, and the target collection frequency of the primary distribution substation is adjusted to once every 1-2 hours, and a frequency adjustment instruction is generated and sent to each abnormal distribution substation, thereby improving the main equipment status control capability. By grading abnormal distribution substations, the present invention can more clearly understand the severity and urgency of each substation, so as to formulate operation and maintenance plans and strategies in a targeted manner; and hierarchical management helps operation and maintenance personnel to more reasonably allocate limited resources to substations of different levels, ensuring that important substations are handled in a timely and effective manner, enhancing system stability and security, improving data collection and monitoring effects, promoting intelligent and automated monitoring and operation and maintenance development, and has important practical application value.

[0050] In one embodiment, the generating of the frequency adjustment instruction according to the target acquisition frequency and sending the instruction to each of the abnormal power distribution stations further includes: Acquire real-time humidity data and real-time temperature data of each abnormal power distribution station; When the real-time humidity data reaches a preset humidity threshold, the target acquisition frequency is adjusted based on an adjustment amount corresponding to the preset humidity threshold to generate a frequency adjustment instruction and send it to each of the abnormal power distribution stations; Or, when the change rate of the real-time temperature data reaches a preset change threshold, the target acquisition frequency is adjusted based on the adjustment amount corresponding to the preset change threshold to generate a frequency adjustment instruction and send it to each of the abnormal distribution stations.

[0051] Specifically, the present invention collects real-time temperature data and real-time humidity data of each abnormal power distribution station through a temperature and humidity sensor, and uses the real-time temperature and humidity data to adjust the target collection frequency, specifically: The real-time humidity data is compared with the preset humidity threshold. When the preset humidity threshold is reached, the target acquisition frequency is adjusted based on the adjustment amount corresponding to the preset humidity threshold to generate a frequency adjustment instruction and send it to each abnormal distribution station. The influence of ambient humidity on the partial discharge of the switch cabinet is positively correlated, and when the humidity of the station reaches more than 50%, the partial discharge signal is significantly enhanced. The preset humidity threshold can be set to 50% in the present invention, and the adjustment amount corresponding to the preset humidity threshold is collected once every 2 hours. Or, determine the change rate of the real-time temperature data, and when it reaches a preset change threshold, adjust the target acquisition frequency based on the adjustment amount corresponding to the preset change threshold to generate a frequency adjustment instruction and send it to each abnormal distribution station; wherein the preset change threshold is above 2 degrees Celsius per hour, and the adjustment amount corresponding to the preset change threshold is once every 5 minutes.

[0052] In addition, the present invention can also set the humidity of the station room to be less than 75% as normal, and the temperature of the station room to be less than 45 degrees Celsius as normal. When the computing device monitors that the humidity of the station room is greater than 75%, or the temperature of the station room is greater than 45 degrees Celsius, a general alarm message is generated; by acquiring the monitoring data of the water immersion sensor and setting the alarm water level of the water immersion sensor, when the water immersion sensor monitors that the water level reaches the alarm water level, the computing device generates an alarm message according to the monitoring data, and the collection frequency of the water immersion sensor can be set to once every 12 hours; by acquiring the monitoring data of the smoke sensor, the collection frequency of the smoke sensor can be set to once every 5 minutes, and when the smoke sensor detects smoke, the computing device generates an alarm message according to the monitoring data; by acquiring the monitoring data of the access control sensor, if the door of the distribution station room is opened and closed according to the access control sensor, it is judged that someone has broken into the distribution station room, and the computing device generates an alarm message according to the monitoring data; by acquiring the SF 6 With O 2 The monitoring data of the sensor is based on SF 6 With O 2 The sensor detects SF in the air. 6 When the high-voltage switch cabinet is judged to have SF 6 Leakage, the computing device generates alarm information based on the monitoring data.

[0053] The present invention can make timely adjustments when the data is abnormal by monitoring humidity and temperature data in real time, thereby preventing the occurrence of equipment failures and further improving the operating stability of the distribution station; when the real-time humidity data reaches a preset humidity threshold or the change rate of the real-time temperature data reaches a preset change threshold, the system will automatically adjust the target acquisition frequency and generate a frequency adjustment instruction to send to the abnormal distribution station, which can greatly reduce the workload of operation and maintenance personnel, improve operation and maintenance efficiency, and further improve the degree of automated monitoring of the distribution station.

[0054] In the embodiment of the present application, based on the problem of how to improve the efficiency of automated monitoring of distribution substations, an automated monitoring method for distribution substations is designed, which realizes receiving real-time data collected by each intelligent sensor on each distribution substation based on a time synchronization instruction; the real-time data includes real-time noise data and real-time partial discharge data; whether the partial discharge of each high-voltage switchgear is abnormal is judged according to the real-time noise data and the real-time partial discharge data, and the distribution substation to which the high-voltage switchgear with abnormal partial discharge belongs is judged as an abnormal distribution substation according to the judgment result; the target collection frequency is determined by the real-time partial discharge data of each abnormal distribution substation, and a frequency adjustment instruction is generated according to the target collection frequency and sent to each abnormal distribution substation, so as to control each intelligent sensor to collect real-time data based on the target collection frequency, so as to realize a technical solution for automated monitoring of each distribution substation; the monitoring degree and efficiency of distribution substations are improved, the dependence on manual entry into the station to collect data is reduced, and there is no need to manually configure the collection frequency, which further improves the degree of automation and monitoring intensity.

[0055] It should be noted that although the steps in the above flowchart are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders.

[0056] In another embodiment, if Figure 2 As shown, the second aspect of the present invention provides an automatic monitoring system for a power distribution station, comprising: The data receiving module 10 is used to receive the real-time data collected by each intelligent sensor on each power distribution station based on the time synchronization instruction; the real-time data includes real-time noise data and real-time partial discharge data; The abnormality judgment module 20 is used to judge whether the partial discharge of each high-voltage switch cabinet is abnormal according to the real-time noise data and the real-time partial discharge data, and judge the power distribution station to which the high-voltage switch cabinet with partial discharge abnormality belongs as an abnormal power distribution station according to the judgment result; The frequency adjustment module 30 is used to determine the target acquisition frequency through the real-time partial discharge data of each abnormal distribution station, generate a frequency adjustment instruction according to the target acquisition frequency and send it to each abnormal distribution station, so as to control each intelligent sensor to collect real-time data based on the target acquisition frequency, thereby realizing automatic monitoring of each distribution station.

[0057] It should be noted that each module in the above-mentioned automated monitoring system for a power distribution station can be fully or partially implemented by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules. For the specific definition of an automated monitoring system for a power distribution station, please refer to the definition of an automated monitoring method for a power distribution station above. The two have the same functions and effects, which will not be repeated here.

[0058] A third aspect of the present invention provides an electronic device, the electronic device comprising: processor, memory, and bus; The bus is used to connect the processor and the memory; The memory is used to store operation instructions; The processor is used to call the operation instruction, and the executable instruction enables the processor to perform an operation corresponding to the automatic monitoring method for a distribution station room as shown in the first aspect of the present application.

[0059] In an alternative embodiment, an electronic device is provided, such as Figure 3 As shown, Figure 3 The electronic device 5000 shown includes: a processor 5001 and a memory 5003. The processor 5001 and the memory 5003 are connected, such as through a bus 5002. Optionally, the electronic device 5000 may also include a transceiver 5004. It should be noted that in actual applications, the transceiver 5004 is not limited to one, and the structure of the electronic device 5000 does not constitute a limitation on the embodiments of the present application.

[0060] Processor 5001 may be a CPU, a general-purpose processor, a DSP, an ASIC, an FPGA or other programmable logic device, a transistor logic device, a hardware component or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 5001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0061] The bus 5002 may include a path to transmit information between the above components. The bus 5002 may be a PCI bus or an EISA bus, etc. The bus 5002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0062] The memory 5003 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, or an EEPROM, a CD-ROM or other optical disk storage, an optical disk storage (including a compressed optical disk, a laser disk, an optical disk, a digital versatile disk, a Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0063] The memory 5003 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 5001. The processor 5001 is used to execute the application code stored in the memory 5003 to implement the content shown in any of the above method embodiments.

[0064] Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc.

[0065] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements an automated monitoring method for a distribution station shown in the first aspect of the present application.

[0066] Another embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0067] In addition, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented.

[0068] In summary, the present invention relates to the field of distribution station monitoring technology, and discloses an automated monitoring method, system, equipment and medium for distribution station buildings. The method receives real-time noise data and real-time partial discharge data collected by each intelligent sensor based on a time synchronization instruction for each distribution station building, and then judges the partial discharge state of the high-voltage switch cabinet in each distribution station building through these real-time data, and regards the distribution station building with partial discharge abnormalities as an abnormal distribution station building; determines the target collection frequency through the real-time partial discharge data of each abnormal distribution station building to generate a frequency adjustment instruction and sends it to each abnormal distribution station building, and then controls the intelligent sensors in each abnormal distribution station building to collect real-time data based on the target collection frequency, thereby improving the monitoring degree and monitoring efficiency of the distribution station building, reducing the dependence on manual entry into the station to collect data, and eliminating the need for manual configuration of the collection frequency, further improving the degree of automation and monitoring intensity.

[0069] Each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be directly referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. It should be noted that the technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0070] The above-mentioned embodiments only express several preferred implementation modes of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in the technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention, and these improvements and substitutions should also be regarded as the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be based on the protection scope of the claims.

Claims

1. A method for automatic monitoring of a power distribution station, characterized in that: include: Receive real-time data collected by each intelligent sensor on each power distribution station based on time synchronization instructions; the real-time data includes real-time noise data and real-time partial discharge data; Judging whether there is any abnormality in the partial discharge of each high-voltage switchgear according to the real-time noise data and the real-time partial discharge data, and judging the distribution substation to which the high-voltage switchgear with the abnormal partial discharge belongs as an abnormal distribution substation according to the judgment result; The target acquisition frequency is determined by the real-time partial discharge data of each abnormal distribution substation, and a frequency adjustment instruction is generated according to the target acquisition frequency and sent to each abnormal distribution substation to control each intelligent sensor to collect real-time data based on the target acquisition frequency, thereby realizing automated monitoring of each distribution substation.

2. The method for automatic monitoring of a power distribution station according to claim 1, characterized in that: The time synchronization instruction includes the next synchronization acquisition time and the next synchronization acquisition frequency; wherein, The receiving of real-time data collected by each intelligent sensor on each distribution station based on the time synchronization instruction includes: Sending the time synchronization instruction to the power distribution digital access node device, so that the power distribution digital access node device generates a DRX configuration instruction according to the time synchronization instruction and sends it to each of the smart sensors arranged in each of the power distribution stations; Receive the real-time data; the real-time data is the real-time noise data and real-time partial discharge data collected by each of the smart sensors in response to the DRX configuration instruction and based on the next synchronous collection frequency at the next synchronous collection time.

3. The method for automatic monitoring of a power distribution station according to claim 1, characterized in that: The judging whether there is an abnormality in the partial discharge of each high-voltage switch cabinet according to the real-time noise data and the real-time partial discharge data includes: According to the magnitude relationship between the real-time partial discharge data and the preset alarm threshold, an abnormality judgment is made on each of the high-voltage switch cabinets; Based on the real-time noise data and the real-time partial discharge data, a secondary abnormality judgment is performed on the high-voltage switchgear that has passed the primary abnormality judgment to obtain the judgment result.

4. The method for automatic monitoring of a power distribution station according to claim 3, characterized in that: The step of performing an abnormality judgment on each of the high-voltage switch cabinets according to the magnitude relationship between the real-time partial discharge data and the preset alarm threshold comprises: When the real-time partial discharge data is greater than the preset alarm threshold, it is determined that the corresponding high-voltage switchgear passes the primary abnormality judgment; When the real-time partial discharge data is not greater than the preset alarm threshold, it is determined that the partial discharge of the corresponding high-voltage switch cabinet is normal.

5. The method for automatic monitoring of a power distribution station according to claim 3, characterized in that: The performing a secondary abnormality judgment on the high-voltage switchgear that has passed the primary abnormality judgment based on the real-time noise data and the real-time partial discharge data to obtain the judgment result includes: Acquire historical noise data and historical partial discharge data of a distribution station to which the high-voltage switchgear that has passed the primary abnormality judgment belongs, and quantify a first increment of the real-time noise data relative to the historical noise data, and a second increment of the real-time partial discharge data relative to the historical partial discharge data; According to the relationship between the ratio of the second increment to the first increment and a preset ratio threshold, performing a secondary abnormality judgment on the high-voltage switchgear that has passed the primary abnormality judgment; When the ratio is less than the preset ratio threshold, the partial discharge of the corresponding high-voltage switch cabinet is determined to be normal, and when the ratio is not less than the preset ratio threshold, the partial discharge of the corresponding high-voltage switch cabinet is determined to be abnormal.

6. The method for automatic monitoring of a power distribution station according to claim 1, characterized in that: The generating of a frequency adjustment instruction according to the target acquisition frequency and sending the instruction to each abnormal power distribution station comprises: Acquiring configuration information of each of the abnormal power distribution substations, and determining the operation level of each of the abnormal power distribution substations according to the configuration information, so as to classify each of the abnormal power distribution substations; The target acquisition frequency is adjusted according to the level of each abnormal power distribution station to generate a frequency adjustment instruction and send it to each abnormal power distribution station.

7. The method for automatic monitoring of a power distribution station according to claim 1, characterized in that: The generating of frequency adjustment instructions according to the target acquisition frequency and sending the instructions to each abnormal power distribution station also includes: Acquire real-time humidity data and real-time temperature data of each abnormal power distribution station; When the real-time humidity data reaches a preset humidity threshold, the target acquisition frequency is adjusted based on an adjustment amount corresponding to the preset humidity threshold to generate a frequency adjustment instruction and send it to each of the abnormal power distribution stations; Or, when the change rate of the real-time temperature data reaches a preset change threshold, the target acquisition frequency is adjusted based on the adjustment amount corresponding to the preset change threshold to generate a frequency adjustment instruction and send it to each of the abnormal distribution stations.

8. An automatic monitoring system for a power distribution station, characterized in that: include: A data receiving module is used to receive real-time data collected by each intelligent sensor from each distribution station based on time synchronization instructions; The real-time data includes real-time noise data and real-time partial discharge data; An abnormality judgment module is used to judge whether there is an abnormality in the partial discharge of each high-voltage switch cabinet according to the real-time noise data and the real-time partial discharge data, and judge the power distribution station to which the high-voltage switch cabinet with abnormal partial discharge belongs as an abnormal power distribution station according to the judgment result; The frequency adjustment module is used to determine the target acquisition frequency through the real-time partial discharge data of each abnormal distribution station, generate a frequency adjustment instruction according to the target acquisition frequency and send it to each abnormal distribution station, so as to control each intelligent sensor to collect real-time data based on the target acquisition frequency, thereby realizing automatic monitoring of each distribution station.

9. An electronic device, characterized in that: The system comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for automatic monitoring of a power distribution station as claimed in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the automatic monitoring method for a power distribution station according to any one of claims 1 to 7 is implemented.

Images