An automated monitoring method, system, device and medium for a distribution substation building

Abstract

The present invention relates to the technical field of substation monitoring, and discloses an automatic monitoring method, system, device and medium for substation buildings. By receiving the real-time noise data and real-time partial discharge data collected by each intelligent sensor for each substation building based on the time synchronization instruction, the partial discharge state of the high-voltage switchgear in each substation building is judged through these real-time data, and the substation building with abnormal partial discharge is used as an abnormal substation building; the target acquisition frequency is determined through the real-time partial discharge data of each abnormal substation building to generate a frequency adjustment instruction and send it to each abnormal substation building, and then the intelligent sensors in each abnormal substation building are controlled to collect real-time data based on the target acquisition frequency, so as to improve the monitoring degree and monitoring efficiency of the substation building, reduce the dependence on manual data collection in the substation, and there is no need for manual configuration of the acquisition frequency, further improving the automation degree and monitoring intensity.

Description

Technical Field

[0001] The present invention relates to the technical field of substation monitoring, and particularly to an automatic monitoring method, system, device and medium for substation buildings. Background Art

[0002] As a key node in the power system, the safe operation of substation buildings is directly related to the reliable power consumption of residents and enterprises. However, the substation buildings in some areas are located in remote regions, and it is impossible to ensure the frequency of manual inspections, resulting in difficulties in collecting monitoring data of substation buildings. Moreover, there are operation and maintenance management problems such as insufficient inspection personnel and difficult coverage of daily inspections in most areas of substation buildings. Therefore, the current automatic monitoring efficiency of substation buildings is relatively low.

[0003] Thus, how to improve the automatic monitoring efficiency of substation buildings has become a technical problem that needs to be urgently solved by those skilled in the art. Summary of the Invention

[0004] The present invention provides an automatic monitoring method, system, device and medium for substation buildings, and solves the problem of how to improve the automatic monitoring efficiency of substation buildings.

[0005] To solve the above technical problem, the first aspect of the present invention provides an automatic monitoring method for substation buildings, including:

[0006] Receiving real-time data collected by each intelligent sensor for each substation building based on a time synchronization instruction; the real-time data includes real-time noise data and real-time partial discharge data;

[0007] Judging whether there is an 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 determining the substation building to which the high-voltage switchgear with abnormal partial discharge belongs as an abnormal substation building according to the judgment result;

[0008] Determining a target acquisition frequency through the real-time partial discharge data of each abnormal substation building, generating a frequency adjustment instruction according to the target acquisition frequency, and sending the frequency adjustment instruction to each abnormal substation building to control each intelligent sensor to collect real-time data based on the target acquisition frequency, so as to realize the automatic monitoring of each substation building.

[0009] As a preferred solution, the time synchronization instruction includes the next synchronization acquisition time and the next synchronization acquisition frequency; wherein,

[0010] The receiving real-time data collected by each intelligent sensor for each substation building based on a time synchronization instruction includes:

[0011] Send 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 intelligent sensor arranged in each substation building;

[0012] Receive the real-time data; the real-time data is the real-time noise data and real-time partial discharge data collected by each intelligent sensor in response to the DRX configuration instruction and based on the next synchronization acquisition frequency at the next synchronization acquisition time.

[0013] As one preferred solution, the judgment on 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:

[0014] Perform a primary abnormality judgment on each high-voltage switch cabinet according to the magnitude relationship between the real-time partial discharge data and a preset warning threshold;

[0015] Based on the real-time noise data and the real-time partial discharge data, perform a secondary abnormality judgment on the high-voltage switch cabinets that pass the primary abnormality judgment to obtain the judgment result.

[0016] As one preferred solution, the performing a primary abnormality judgment on each high-voltage switch cabinet according to the magnitude relationship between the real-time partial discharge data and a preset warning threshold includes:

[0017] When the real-time partial discharge data is greater than the preset warning threshold, it is determined that the corresponding high-voltage switch cabinet passes the primary abnormality judgment;

[0018] When the real-time partial discharge data is not greater than the preset warning threshold, it is determined that the partial discharge of the corresponding high-voltage switch cabinet is normal.

[0019] As one preferred solution, the performing a secondary abnormality judgment on the high-voltage switch cabinets that pass the primary abnormality judgment based on the real-time noise data and the real-time partial discharge data to obtain the judgment result includes:

[0020] Obtain the historical noise data and historical partial discharge data of the substation building to which the high-voltage switch cabinet that passes the primary abnormality judgment belongs, and quantify 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;

[0021] Perform a secondary abnormality judgment on the high-voltage switch cabinets that pass the primary abnormality judgment according to the magnitude relationship between the ratio of the second increment to the first increment and a preset ratio threshold;

[0022] When the ratio is less than the preset ratio threshold, it is determined that the partial discharge of the corresponding high-voltage switchgear is normal, and when the ratio is not less than the preset ratio threshold, it is determined that the partial discharge of the corresponding high-voltage switchgear is abnormal.

[0023] As one of the preferred solutions, the generating a frequency adjustment instruction according to the target acquisition frequency and sending it to each of the abnormal substations includes:

[0024] Obtain the configuration information of each of the abnormal substations, and determine the operation level of each of the abnormal substations according to the configuration information, so as to classify each of the abnormal substations;

[0025] Adjust the target acquisition frequency according to the levels of each of the abnormal substations, so as to generate a frequency adjustment instruction and send it to each of the abnormal substations.

[0026] As one of the preferred solutions, the generating a frequency adjustment instruction according to the target acquisition frequency and sending it to each of the abnormal substations further includes:

[0027] Obtain the real-time humidity data and real-time temperature data of each of the abnormal substations;

[0028] When the real-time humidity data reaches the preset humidity threshold, adjust the target acquisition frequency based on the adjustment amount corresponding to the preset humidity threshold, so as to generate a frequency adjustment instruction and send it to each of the abnormal substations;

[0029] Or, when the change rate of the real-time temperature data reaches the preset change threshold, adjust the target acquisition frequency based on the adjustment amount corresponding to the preset change threshold, so as to generate a frequency adjustment instruction and send it to each of the abnormal substations.

[0030] The second aspect of the present invention provides an automatic monitoring system for a substation, including:

[0031] A data receiving module, configured to receive real-time data collected by each intelligent sensor for each substation based on a time synchronization instruction; the real-time data includes real-time noise data and real-time partial discharge data;

[0032] An abnormality judging module, configured to judge whether there is an 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 determine the substation to which the high-voltage switchgear with abnormal partial discharge belongs as an abnormal substation according to the judgment result;

[0033] A frequency adjustment module is used to determine a target acquisition frequency based on the real-time partial discharge data of each abnormal substation building, generate a frequency adjustment instruction according to the target acquisition frequency, and send it to each abnormal substation building to control each intelligent sensor to collect real-time data based on the target acquisition frequency, so as to realize the automatic monitoring of each substation building.

[0034] The third aspect of the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it realizes the automatic monitoring method of the substation building as described above.

[0035] The fourth aspect of the present invention provides a computer-readable storage medium, which includes a stored computer program. When the device where the computer-readable storage medium is located executes the computer program, it realizes the automatic monitoring method of the substation building as described above.

[0036] Compared with the prior art, the beneficial effects of the embodiments of the present invention are at least one of the following:

[0037] (1) By using intelligent sensors to collect real-time data based on time synchronization instructions, the accuracy and timeliness of the data are ensured. The collection of real-time noise data and real-time partial discharge data facilitates immediately capturing changes in the environment inside the substation building, especially the partial discharge situation of high-voltage switchgear, providing the possibility for timely discovery of potential problems.

[0038] (2) Judging whether there is an abnormality in the partial discharge of the high-voltage switchgear according to the real-time noise data and partial discharge data avoids the errors and delays of manual judgment, improves the accuracy and efficiency of judgment; determining the target acquisition frequency based on the real-time partial discharge data of the abnormal substation building realizes the dynamic adjustment of the acquisition frequency to more effectively capture abnormal data, and at the same time avoids waste of resources caused by excessive acquisition under normal circumstances.

[0039] (3) Improve the monitoring level and monitoring efficiency of the substation building, reduce the dependence on manual on-site data collection, eliminate the need for manual configuration of the acquisition frequency, further improve the automation level and monitoring intensity, reduce the need for manual intervention, and reduce the operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for implementation will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0041] Figure 1 It is a flowchart of an automatic monitoring method for a distribution substation provided by an embodiment of the present invention;

[0042] Figure 2 It is a structural diagram of an automatic monitoring system for a distribution substation provided by an embodiment of the present invention;

[0043] Figure 3 It is a structural diagram of an electronic device provided by an embodiment of the present invention. Specific embodiments

[0044] Next, in combination with the accompanying drawings and embodiments, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a 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 those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0045] In the description of this application, the terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, features defined with "first", "second", "third", etc. may explicitly or implicitly include one or more of such features. In the description of this application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0046] In the description of this application, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", "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 directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two components. The terms "vertical", "horizontal", "left", "right", "up", "down" and similar expressions used herein are only for the purpose of illustration, rather than indicating or implying that the system or component referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation of the present invention. The term "and / or" used herein includes any and all combinations of one or more of the 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.

[0047] In the description of the present application, it should be noted that unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as commonly understood by those skilled in the technical field of the present technology. 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 the present application can be understood according to specific circumstances.

[0048] In one embodiment, as Figure 1 shown, the first aspect of the present invention provides an automated monitoring method for a distribution substation building, including:

[0049] S1. Receiving real-time data collected by each intelligent sensor for each distribution substation building 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 acquisition time and the next synchronization acquisition frequency;

[0050] Among them, step S1 includes:

[0051] Sending the time synchronization instruction to a distribution digital access node device, so that the distribution digital access node device generates a DRX configuration instruction according to the time synchronization instruction and sends it to each of the intelligent sensors arranged in each of the distribution substation buildings;

[0052] Receiving 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 intelligent sensors in response to the DRX configuration instruction and based on the next synchronization acquisition frequency at the next synchronization acquisition time.

[0053] Specifically, the present invention adopts a cloud-edge collaboration method, and monitors the distribution substation building machine by setting up a cloud side, an edge side and an end side and the distribution substation building digital intelligent control system composed of them. The system deploys a variety of intelligent sensors for remote distribution substations to achieve automated monitoring of distribution substation buildings, uses multi-sensor data to improve the digital intelligent level of distribution substation buildings, and reduces the pressure on maintenance personnel to enter the station frequently; among them, the cloud side includes a distribution network cloud master station for managing distribution substation buildings, which can be deployed on a distribution automation platform, responsible for the overall status overview, data display, data storage and alarm push of distribution substation buildings. The distribution network cloud master station can be deployed on one or more computing devices to implement the automated monitoring method for distribution substation buildings. The edge side includes a distribution digital access node device, which can realize the unified collection of data of main equipment perception devices and various intelligent sensors through the transmission and transformation Internet of Things protocol in the south, and can access the distribution network cloud master station through a 4G or 5G private network in the north. The end side includes various intelligent sensors, which are responsible for collecting the comprehensive status information of the distribution substation building, realizing the data collection of the main equipment in the distribution substation building, and then realizing the abnormal monitoring of it.

[0054] Among them, various intelligent sensors included on the edge side can be deployed in distribution substations, including main equipment sensing devices, environmental and mechanical sensors, security sensors, fire sensors, etc. The main equipment sensing devices include partial discharge sensors, which include ultrasonic partial discharge sensors and dual ultrasonic transient earth voltage partial discharge sensors, etc. Since one or more high-voltage switchgears are deployed in the distribution substation, the partial discharge sensors can be deployed on the high-voltage switchgear to detect the ultrasonic parameters of partial discharge of the high-voltage switchgear, enhance the monitoring ability of local insulation anomalies of the high-voltage switchgear, and thus improve the sensing ability of the main equipment (such as high-voltage switchgear) in the distribution substation.

[0055] The operation levels of distribution substations include regular 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, SF6 and O2 sensors, and access control sensors can be deployed in regular operation and maintenance substations. One or more dual ultrasonic transient earth voltage partial discharge sensors, smoke detectors, water immersion sensors, temperature and humidity sensors, SF6 and O2 sensors, and access control sensors can be deployed in key operation and maintenance substations, and one of the dual ultrasonic transient earth voltage partial discharge sensors can be set as a background noise sensor. The partial discharge sensors include ultrasonic partial discharge sensors and dual ultrasonic transient earth voltage partial discharge sensors, etc., which are suitable for data collection of environmental noise and high-voltage switchgear; among them, the dual ultrasonic transient earth voltage partial discharge sensor is powered by a battery and can collect ultrasonic partial discharge signals of 20 kHz to 100 kHz and transient earth voltage of 3 MHz to 100 MHz generated by partial discharge of electrical equipment. Using a partial discharge identification algorithm and combining node equipment and system applications, it can identify partial discharge and interference, and it can be specifically deployed in the incoming and outgoing line intervals or high-voltage switchgear. The outward ultrasonic probe of a certain dual ultrasonic transient earth voltage partial discharge sensor is the source of background noise value, and it can be used as a background noise sensor.

[0056] Security sensors include access control sensors, etc. The access control sensors can be installed above the entrance and exit doors of the distribution substation, or installed on the door frame using a magnetic control strip, or installed on the lintel of the gate using a permanent magnet, for monitoring the opening and closing state of the entrance door of the substation, enhancing the warning ability of illegal intrusion into the distribution substation, and setting security sensors can improve the security ability of the distribution substation.

[0057] The dynamic environment sensors include water immersion sensors, temperature and humidity sensors, SF6 and O2 sensors, etc.; among them, one water immersion sensor can be installed in each distribution substation building, which can be installed near the gap of the top cable cover plate or at a height of 15 cm above the bottom of the cable trench from the detection electrode, for monitoring the abnormal water level in the station. The water immersion sensor can be installed in the cable trench of the distribution substation building to achieve the flood warning ability; the temperature and humidity sensor can be installed beside the high-voltage switchgear in the distribution substation building 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 switchgear, for monitoring the temperature and humidity of the station environment, improving the perception ability of the impact of abnormal temperature and humidity on the main equipment, so that the obtained monitoring data is sent to the corresponding distribution digital access node device through the wireless LoRa communication method using the power transmission and transformation Internet of Things protocol. The distribution digital access node device then transmits the monitoring data to the upper monitoring system through communication methods such as Ethernet or RS485 / RS232, etc., to realize functions such as remote monitoring and warning of temperature and humidity; the SF6 and O2 sensors can be installed on the surface of the high-voltage switchgear, and can be installed on the station wall near the power socket and the maintenance power supply box, or directly below the distribution digital access node device, at a height of 30 cm from the ground, to improve the airtightness monitoring ability of the switch and reduce the risk of suffocation of the operation and maintenance personnel. Since the breaker component in the high-voltage switchgear uses SF6 insulation, monitoring its content can judge whether there is leakage, and can prevent personnel from inhaling harmful gases. Setting the dynamic environment sensors can improve the environmental perception ability of the distribution substation building.

[0058] The fire sensors include smoke detectors, etc. One smoke detector can be deployed in each distribution substation building, which can be installed at a high place in the distribution substation building, and deployed at the center position of the top of the station building, for monitoring the smoke concentration in the station, improving the fire warning and emergency response ability. Setting the fire sensors can improve the fire protection ability of the distribution substation building.

[0059] The distribution digital access node device is communicatively connected to the computing device and various intelligent sensors (including partial discharge sensors) deployed in the distribution substation building. When the computing device is communicatively connected to the intelligent sensors, it can be communicatively connected to the intelligent sensors through the distribution digital access node device. The distribution digital access node device 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 device through the power transmission and transformation equipment Internet of Things protocol, and the distribution digital access node device communicates northward with the distribution network cloud master station.

[0060] When the computing device sends a time synchronization instruction to the power distribution substation, it can send the time synchronization instruction to the intelligent sensors in the power distribution substation. Specifically, when implementing, it first sends a 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 next synchronization acquisition time and the next synchronization acquisition frequency, and sends the DRX configuration instruction to each intelligent sensor to control it to collect the real-time noise data of the environment in the power distribution substation and the real-time partial discharge data of the high-voltage switchgear in the power distribution substation.

[0061] The partial discharge sensor responds to the DRX configuration instruction and at the corresponding time, collects the real-time partial discharge data based on the corresponding frequency. The real-time partial discharge data includes the partial discharge data for monitoring the components inside the cabinet, which characterizes the partial discharge situation of the components inside the cabinet. However, since the environment where the high-voltage switchgear is deployed not only includes the high-voltage switchgear but also other electrical appliances, such as electric lights, cameras, etc., when these components outside the high-voltage switchgear generate abnormalities, such as the stroboscopic of electric lights, partial discharge will also be generated, and this type of partial discharge signal will also be collected by the partial discharge sensor for monitoring the high-voltage switchgear. Therefore, when the real-time partial discharge data collected by the partial discharge sensor appears abnormal, it may be due to the abnormal partial discharge of the high-voltage switchgear, or it may be the partial discharge signal generated by the disturbance in the environment. In order to determine whether it is the abnormal partial discharge of the high-voltage switchgear or the partial discharge signal of the disturbance in the environment when monitoring the power distribution substation, it is necessary to deploy additional partial discharge sensors in the environment to collect the real-time noise data, and judge whether the high-voltage switchgear has abnormal partial discharge by comparing the real-time noise data and the real-time partial discharge data.

[0062] Therefore, multiple partial discharge sensors will be deployed in the power distribution substation to monitor the data in the power distribution substation, and each partial discharge sensor may have an independent start time for collecting data and an acquisition frequency. The real-time noise data and the real-time partial discharge data collected by these partial discharge sensors may not be collected simultaneously. 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 switchgear appears 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.

[0063] 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 synchronization collection time and collects data at the same collection frequency specified by the synchronization collection frequency. After receiving the time synchronization instruction sent by the computing device, the power distribution digital access node device first parses the time synchronization instruction to determine the next synchronization collection time and the next synchronization collection frequency; then 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 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 synchronization frame number, which specifies at which DRX cycle to start collecting synchronization collection data. The DRX cycle duration is determined according to the next synchronization collection frequency, and the synchronization frame number is determined according to the next synchronization collection time. The synchronization collection frequency and the corresponding DRX cycle duration can be set to 20 μs.

[0064] This process needs to pre-set each partial discharge sensor so that it can receive the DRX configuration instruction. During synchronous collection, the partial discharge sensor aligns the time stamps according to the frame number when receiving the DRX configuration instruction and the synchronization frame number, that is, generates a synchronization signal according to the BCH frame for synchronization. Subsequently, multiple partial discharge sensors calculate the next synchronization collection time according to the synchronization frame number, and start synchronous collection of data when the next synchronization collection time arrives, thereby realizing the DRX scheduling of the partial discharge sensors. The present invention deploys intelligent sensors and power distribution digital access node devices in the substation building to collect and aggregate the in-station monitoring data, deploys a digital power distribution cloud master station on the cloud side to realize comprehensive, real-time, and continuous monitoring of multiple substation buildings, and uses multi-source perception data to improve the intelligent level and automatic monitoring level of substation building operation and maintenance, thereby reducing the pressure on maintenance personnel to enter the station frequently.

[0065] S2. 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 determine the substation building to which the high-voltage switch cabinet with abnormal partial discharge belongs as an abnormal substation building according to the judgment result;

[0066] In one embodiment, 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:

[0067] Perform a primary abnormality judgment on each of the high-voltage switch cabinets according to the magnitude relationship between the real-time partial discharge data and a preset warning threshold;

[0068] Based on the real-time noise data and the real-time partial discharge data, perform a secondary abnormality judgment on the high-voltage switch cabinets that have passed the primary abnormality judgment to obtain the judgment result.

[0069] Specifically, the present invention can quickly screen out high-voltage switchgears that may be abnormal by comparing the real-time partial discharge data with a preset alarm threshold. It is simple and direct, and can initially locate potential fault sources. Then, based on the first abnormal judgment, combined with real-time noise data for a second judgment, false alarms caused by noise interference can be further excluded, improving the accuracy of fault detection. The present invention combines real-time monitoring technology and data analysis technology to achieve intelligent monitoring and abnormal judgment of high-voltage switchgears, providing strong support for the intelligent development of the power industry.

[0070] In one embodiment, the first abnormal judgment of each high-voltage switchgear according to the magnitude relationship between the real-time partial discharge data and the preset alarm threshold includes:

[0071] 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 first abnormal judgment;

[0072] 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 switchgear is normal.

[0073] Specifically, the present invention does not limit the specific set value of the preset alarm threshold, which can be determined by an algorithm or according to the experience of historical data, or set as needed. Preferably, it is 8 dBμV. Then the process of the first abnormal judgment is as follows: if the real-time partial discharge data is 8 dBμV or less, the partial discharge of the high-voltage switchgear is normal; if the real-time partial discharge data is above 8 dBμV, the high-voltage switchgear passes the first abnormal judgment. By setting a reasonable alarm threshold, the present invention can ensure that in most cases, when the partial discharge of the high-voltage switchgear is abnormal, the system can accurately detect and report, reducing the possibility of missed reports, improving the sensitivity of fault detection, and further improving the automation and intelligent monitoring of the substation building.

[0074] In one embodiment, based on the real-time noise data and the real-time partial discharge data, the second abnormal judgment of the high-voltage switchgear that passes the first abnormal judgment to obtain the judgment result includes:

[0075] Obtain the historical noise data and historical partial discharge data of the substation building to which the high-voltage switchgear that passes the first abnormal judgment belongs, and quantify 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;

[0076] According to the magnitude relationship between the ratio of the second increment to the first increment and a preset ratio threshold, perform a second abnormal judgment on the high-voltage switchgear that passes the first abnormal judgment;

[0077] When the ratio is less than the preset proportional threshold, it is determined that the partial discharge of the corresponding high-voltage switchgear is normal, and when the ratio is not less than the preset proportional threshold, it is determined that the partial discharge of the corresponding high-voltage switchgear is abnormal.

[0078] Specifically, obtain the historical noise data and historical partial discharge data of the high-voltage switchgear that has passed the first abnormal judgment. 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 in the real-time partial discharge data is related to the ambient noise, and it is determined that the partial discharge of the corresponding high-voltage switchgear is 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 in the real-time partial discharge data is not related to the ambient noise, and it is determined that the partial discharge of the corresponding high-voltage switchgear is abnormal. Furthermore, the substation building where the high-voltage switchgear with abnormal partial discharge is located is determined as an abnormal substation building. The present invention does not limit the specific setting method of the preset proportional threshold. The preset proportional threshold can be determined by conducting multiple tests on the real-time partial discharge data, and is preferably 1.

[0079] In addition, after judging that the increase in the real-time partial discharge data is not related to the ambient noise, further judgment can be made to improve the discrimination accuracy of the correlation between the increase in the real-time partial discharge data and the ambient noise. Specifically, it includes obtaining the first partial discharge pattern of the real-time noise data and the second partial discharge pattern of the real-time partial discharge data; determining the similarity between the first partial discharge pattern and the second partial discharge pattern. If the similarity is less than the preset similarity threshold, it is judged that the increase in the real-time partial discharge data is not related to the ambient noise, and it is determined that the partial discharge of the high-voltage switchgear is abnormal. When determining the similarity between the first partial discharge pattern and the second partial discharge pattern, an image similarity model can be used for determination. The first partial discharge pattern and the second partial discharge pattern 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 specifically selected image similarity determination model, and models such as those based on feature extraction, those based on hash algorithms, histogram comparison based on structural similarity, and cosine similarity can be used. The similarity threshold can be set to 50% and can be adjusted as needed.

[0080] The present invention not only considers the real-time partial discharge data, but also combines the real-time noise data and their incremental changes relative to the historical data, so as to be able to more comprehensively evaluate the partial discharge state 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 with the relationship of the real-time noise data increment (the first increment), the true partial discharge abnormality can be more accurately identified, reducing false alarms caused by noise interference or other factors. It not only improves the accuracy of fault detection, the stability and reliability of the system, but also optimizes the operation and maintenance strategies and resource allocation, and promotes the intelligent development of the power industry.

[0081] S3. Determine the target acquisition frequency based on the real-time partial discharge data of each abnormal substation building, generate a frequency adjustment instruction according to the target acquisition frequency, and send it to each abnormal substation building to control each intelligent sensor to collect real-time data based on the target acquisition frequency, so as to realize the automatic monitoring of each substation building;

[0082] 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 substation building. Multiple acquisition frequency adjustment intervals can be set. For example, when the real-time partial discharge data is above 8 dBμV and below 20 dBμV, it reaches the attention interval, and the acquisition frequency is set to be monitored once every 6 hours; when the real-time partial discharge data is above 20 dBμV and below 30 dBμV, it reaches the severe interval, and the acquisition frequency is set to be monitored once every 2 hours; when the real-time partial discharge data is above 30 dBμV, it reaches the interval requiring maintenance, and the acquisition frequency is set to be monitored once every 0.5 hours. It is also possible to combine manual inspection of the substation building. For example, in the normal interval, that is, when the real-time partial discharge data is below 8 dBμV, the substation building is inspected once a year; in the attention interval, the substation building is inspected once a month; in the severe interval, the substation building is inspected once a week; in the interval requiring maintenance, manual inspection should be carried out immediately to check whether power outage maintenance is required. For example, when it is suspected that the partial discharge inside the cabinet is abnormal, but the phase characteristics of the partial discharge pattern do not have the typical partial discharge pattern characteristics. To verify the effectiveness of partial discharge monitoring, on-site re-measurement of the abnormal situation can be carried out manually to give play to the value of online monitoring and check whether there is a real fault in the main equipment.

[0083] After determining the target acquisition frequency, generate a frequency adjustment instruction including the target acquisition frequency to be increased, and send the acquisition frequency adjustment instruction to the power distribution digital access node device. The power distribution digital access node device sends a DRX configuration instruction to the partial discharge sensor, so that the partial discharge sensor can collect monitoring data according to the target acquisition frequency, and upload the monitoring data collected according to the target acquisition frequency to the computing device through the power distribution digital access node device. When the real-time partial discharge data collected by the partial discharge sensor drops, 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 interval, such as below 8 dBμV, the acquisition frequency can be set to be collected once every 12 hours.

[0084] In one embodiment, the generating a frequency adjustment instruction according to the target acquisition frequency and sending it to each abnormal substation building includes:

[0085] Obtain the configuration information of each abnormal substation building, and determine the operation level of each abnormal substation building according to the configuration information to classify each abnormal substation building;

[0086] Adjust the target acquisition frequency according to the level of each abnormal power distribution station building, generate a frequency adjustment instruction and send it to each abnormal power distribution station building.

[0087] Specifically, the present invention responds to the target acquisition frequency, sends a data request instruction to the abnormal power distribution station building, and then receives the configuration information sent by the abnormal power distribution station building in response to this instruction. The configuration information is used to set the operation level of the power distribution station building, which can be actively set by the operation and maintenance personnel or computing devices of the power distribution station building. For example, according to the importance of the load, the key guarantee station building is set as the key operation and maintenance station building; or according to the historical operation and maintenance data, the power distribution station building with abnormal real-time partial discharge data in the historical operation and maintenance data is used as the key operation and maintenance station building. Then, it is classified according to the operation level of the abnormal power distribution station building, and the key operation and maintenance station building is used as the first-level power distribution station building, while the conventional operation and maintenance station building is used as the second-level power distribution station building.

[0088] Both the conventional operation and maintenance station building and the key operation and maintenance station building have been intelligently transformed, and a variety of intelligent sensors are deployed. The improvement levels of fire protection, security, and dynamic environment in the key operation and maintenance station building are the same as those in the conventional operation and maintenance station building. The focus is on strengthening the perception and protection capabilities of the main equipment, and upgrading the ultrasonic partial discharge sensor to a dual-ultrasonic transient ground partial discharge positioning sensor. The partial discharge sensor in the conventional operation and maintenance station building includes an ultrasonic partial discharge sensor, and the partial discharge sensor in the key operation and maintenance station building includes a dual-ultrasonic transient ground voltage partial discharge sensor. The dual-ultrasonic transient ground voltage partial discharge sensor includes an in-cabinet ultrasonic probe, an out-of-cabinet ultrasonic probe, and a transient ground voltage sensor. The monitoring data collected by the key operation and maintenance station building also includes in-cabinet partial discharge data, out-of-cabinet partial discharge data, and transient ground voltage data.

[0089] The dual-ultrasonic sensors deployed in the key operation and maintenance station building have three aspects of improvement compared with the conventional operation and maintenance station building. First, it has the ability to collect out-of-cabinet partial discharge signals. Ultrasonic probes are set both inside and outside the cabinet to collect in-cabinet partial discharge data and out-of-cabinet partial discharge data, and the high-precision clock of the power distribution digital access node device can be used to improve the monitoring accuracy. Second, it has the dual collection ability of ultrasonic partial discharge and transient ground voltage, strengthening the monitoring ability of insulation damage. Third, it has a higher monitoring frequency. The synchronous acquisition frequency of the key operation and maintenance station building is higher than that of the conventional operation and maintenance station building.

[0090] Next, adjust the target acquisition frequency according to the levels of each abnormal power distribution station building. Specifically, adjust the target acquisition frequency of the secondary power distribution station building to once every 12 hours, and adjust the target acquisition frequency of the primary power distribution station to once every 1-2 hours. Then generate a frequency adjustment instruction and send it to each abnormal power distribution station building, thereby enhancing the control ability of the main equipment status. By grading the abnormal power distribution station buildings, the present invention can more clearly understand the severity and urgency of each station building, so as to formulate operation and maintenance plans and strategies targeted; and hierarchical management helps operation and maintenance personnel allocate limited resources more reasonably to different levels of station buildings, ensuring that important station buildings are processed in a timely and effective manner, enhancing the stability and security of the system, improving the data acquisition and monitoring effect, promoting the development of intelligent and automated monitoring and operation and maintenance, and having important practical application value.

[0091] In one embodiment, the generating a frequency adjustment instruction according to the target acquisition frequency and sending it to each of the abnormal power distribution station buildings further includes:

[0092] Obtain the real-time humidity data and real-time temperature data of each of the abnormal power distribution station buildings;

[0093] When the real-time humidity data reaches a preset humidity threshold, adjust the target acquisition frequency based on the adjustment amount corresponding to the preset humidity threshold to generate a frequency adjustment instruction and send it to each of the abnormal power distribution station buildings;

[0094] Or, when the change rate of the real-time temperature data 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 of the abnormal power distribution station buildings.

[0095] Specifically, the present invention collects the real-time temperature data and real-time humidity data of each abnormal power distribution station building through temperature and humidity sensors, and uses the real-time temperature and humidity data to adjust the target acquisition frequency. Specifically:

[0096] Compare the real-time humidity data with the preset humidity threshold. When it reaches the preset humidity threshold, adjust the target acquisition frequency based on the adjustment amount corresponding to the preset humidity threshold to generate a frequency adjustment instruction and send it to each abnormal power distribution station building; among them, the influence of environmental humidity on the partial discharge of the switch cabinet is positively correlated, and when the humidity of the station building reaches more than 50%, the partial discharge signal is significantly enhanced. The present invention can set the preset humidity threshold to 50%, and the adjustment amount corresponding to the preset humidity threshold is to collect once every 2 hours;

[0097] Alternatively, determine the change rate of the real-time temperature data. 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 power distribution substation building; 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.

[0098] In addition, the present invention can also set that the humidity of the substation building being less than 75% is normal, and the temperature of the substation building being less than 45 degrees Celsius is normal. When the computing device monitors that the humidity of the substation building is greater than 75% or the temperature of the substation building is greater than 45 degrees Celsius, a general alarm message is generated; by obtaining 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 acquisition frequency of the water immersion sensor can be set to once every 12 hours; by obtaining the monitoring data of the smoke sensor, the acquisition frequency of the smoke sensor can be set to once every 5 minutes. When the smoke sensor monitors that there is smoke, the computing device generates an alarm message according to the monitoring data; by obtaining the monitoring data of the access control sensor, if it is determined that the door of the power distribution substation building has been opened or closed according to the access control sensor, it is determined that there is an unauthorized entry into the power distribution substation building, and the computing device generates an alarm message according to the monitoring data; by obtaining the monitoring data of the SF6 and O2 sensors, when it is determined that SF6 is contained in the air according to the SF6 and O2 sensors, it is determined that there is an SF6 leakage in the high-voltage switch cabinet, and the computing device generates an alarm message according to the monitoring data.

[0099] By monitoring the humidity and temperature data in real time, the present invention can make timely adjustments when the data is abnormal, thereby preventing the occurrence of equipment failures, and further improving the operation stability of the power distribution substation building; when the real-time humidity data reaches the preset humidity threshold or the change rate of the real-time temperature data reaches the preset change threshold, the system will automatically adjust the target acquisition frequency and generate a frequency adjustment instruction to send to the abnormal power distribution substation building, which can greatly reduce the workload of the operation and maintenance personnel, improve the operation and maintenance efficiency, and further improve the degree of automatic monitoring of the power distribution substation building.

[0100] In the embodiments of the present application, in view of the problem of how to improve the automation monitoring efficiency of distribution substations, an automation monitoring method for distribution substations is designed, which realizes receiving real-time data collected by each intelligent sensor for each distribution substation based on a time synchronization instruction; the real-time data includes real-time noise data and real-time partial discharge data; judging whether there is an 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 determining the distribution substation to which the high-voltage switchgear with abnormal partial discharge belongs as an abnormal distribution substation according to the judgment result; determining a target acquisition frequency through the real-time partial discharge data of each abnormal distribution substation, generating a frequency adjustment instruction according to the target acquisition frequency and sending it to each abnormal distribution substation to control each intelligent sensor to collect real-time data based on the target acquisition frequency, so as to realize the technical solution of the automation monitoring of each distribution substation; improving the monitoring degree and monitoring efficiency of the distribution substation, reducing the dependence on manual on-site data collection, and eliminating the need for manual configuration of the acquisition frequency, further improving the automation degree and monitoring intensity.

[0101] It should be noted that although the steps in the above flow chart are shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders.

[0102] In another embodiment, as Figure 2 shown, the second aspect of the present invention provides an automation monitoring system for distribution substations, including:

[0103] A data receiving module 10, configured to receive real-time data collected by each intelligent sensor for each distribution substation based on a time synchronization instruction; the real-time data includes real-time noise data and real-time partial discharge data;

[0104] An abnormality judgment module 20, configured to judge whether there is an 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 determine the distribution substation to which the high-voltage switchgear with abnormal partial discharge belongs as an abnormal distribution substation according to the judgment result;

[0105] A frequency adjustment module 30, configured to determine a target acquisition frequency through the real-time partial discharge data of each abnormal distribution substation, generate a frequency adjustment instruction according to the target acquisition frequency and send it to each abnormal distribution substation to control each intelligent sensor to collect real-time data based on the target acquisition frequency, so as to realize the automation monitoring of each distribution substation.

[0106] It should be noted that each module in the above-mentioned automatic monitoring system for a distribution substation room can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in the processor of a computer device in hardware form or independent of the processor, or stored in the memory of the computer device in software form, so as to facilitate the processor to call and execute the operations corresponding to each of the above modules. For the specific limitations of an automatic monitoring system for a distribution substation room, refer to the limitations of an automatic monitoring method for a distribution substation room in the above text. The two have the same functions and effects and will not be elaborated here.

[0107] The third aspect of the present invention provides an electronic device, which includes:

[0108] A processor, a memory, and a bus;

[0109] The bus is used to connect the processor and the memory;

[0110] The memory is used to store operation instructions;

[0111] The processor is used to execute the operations corresponding to an automatic monitoring method for a distribution substation room as shown in the first aspect of the present application by calling the operation instructions.

[0112] In an optional embodiment, an electronic device is provided, as Figure 3 shown, Figure 3 The electronic device 5000 shown includes a processor 5001 and a memory 5003. Among them, the processor 5001 and the memory 5003 are connected, such as connected through a bus 5002. Optionally, the electronic device 5000 may further include a transceiver 5004. It should be noted that in practical applications, the transceiver 5004 is not limited to one, and the structure of the electronic device 5000 does not constitute a limitation to the embodiments of the present application.

[0113] The processor 5001 can be a CPU, a general-purpose processor, a DSP, an ASIC, an FPGA, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in combination with the disclosure of the present application. The processor 5001 can also be a combination that realizes computing functions, such as a combination including one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0114] The bus 5002 may include a path for transmitting information between the above components. The bus 5002 can be a PCI bus or an EISA bus, etc. The bus 5002 can be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, Figure 3It is represented only by a thick line, but it does not mean that there is only one bus or one type of bus.

[0115] The memory 5003 can 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 it can also be an EEPROM, a CD-ROM or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), 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 not limited thereto.

[0116] The memory 5003 is used to store the application program code for implementing the solution of this application, and is controlled by the processor 5001 to execute. The processor 5001 is used to execute the application program code stored in the memory 5003 to implement the content shown in any of the foregoing method embodiments.

[0117] Among them, the electronic device includes but is not limited to: mobile terminals such as mobile phones, laptop computers, 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.

[0118] The fourth aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements an automatic monitoring method for a distribution substation shown in the first aspect of this application.

[0119] Another embodiment of this application provides a computer-readable storage medium, on which a computer program is stored, and when it runs on a computer, it enables the computer to execute the corresponding content in the foregoing method embodiments.

[0120] In addition, an embodiment of the present invention also proposes a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the steps of the above method.

[0121] In summary, the present invention relates to the technical field of substation monitoring, and discloses an automatic monitoring method, system, device and medium for substation buildings. By receiving the real-time noise data and real-time partial discharge data collected by each intelligent sensor for each substation building based on the time synchronization instruction, the partial discharge state of the high-voltage switchgear in each substation building is judged through these real-time data, and the substation building with abnormal partial discharge is used as an abnormal substation building; the target acquisition frequency is determined through the real-time partial discharge data of each abnormal substation building to generate a frequency adjustment instruction and send it to each abnormal substation building, and then the intelligent sensors in each abnormal substation building are controlled to collect real-time data based on the target acquisition frequency, so as to improve the monitoring degree and monitoring efficiency of the substation building, reduce the dependence on manual data collection in the station, and eliminate the need for manual configuration of the acquisition frequency, further improving the automation degree and monitoring intensity.

[0122] Each embodiment in this specification is described in a progressive manner. For the parts that are the same or similar in each embodiment, reference can be made to each other. The key point of each embodiment is to illustrate 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 refer to the partial description of the method embodiment. It should be noted that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0123] The above-described embodiments only represent several preferred embodiments of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the technical principle of the present invention, several improvements and substitutions can still be made, 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 should be subject to the protection scope of the claimed rights.

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 distribution station based on time synchronization instructions; the real-time data includes background noise data and real-time partial discharge data; wherein the outward ultrasonic probe of the dual ultrasonic transient ground voltage partial discharge sensor is the value source of the background noise data; Judging whether there is any abnormality in the partial discharge of each high-voltage switchgear according to the background 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; Determine the target acquisition frequency through the real-time partial discharge data of each abnormal power distribution station, generate a frequency adjustment instruction according to the target acquisition frequency and send 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; The judging whether there is an abnormality in the partial discharge of each high-voltage switch cabinet according to the background 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 background 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; 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; The step of performing a secondary abnormality judgment on the high-voltage switchgear that has passed the primary abnormality judgment based on the background 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 the power distribution station to which the high-voltage switchgear that passes the primary abnormality judgment belongs, and quantify a first increment of the background 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.

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 background 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 acquisition frequency at the next synchronous acquisition time.

3. 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.

4. 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.

5. 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 on each power distribution station based on a time synchronization instruction; the real-time data includes background noise data and real-time partial discharge data; wherein the outward ultrasonic probe of the dual ultrasonic transient ground voltage partial discharge sensor is the value source of the background noise 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 background 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; A frequency adjustment module, used to determine the target acquisition frequency through the real-time partial discharge data of each abnormal power distribution station, generate a frequency adjustment instruction according to the target acquisition frequency and send 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, so as to realize automatic monitoring of each power distribution station; The judging whether there is an abnormality in the partial discharge of each high-voltage switch cabinet according to the background 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 background 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; 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; The step of performing a secondary abnormality judgment on the high-voltage switchgear that has passed the primary abnormality judgment based on the background 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 the power distribution station to which the high-voltage switchgear that passes the primary abnormality judgment belongs, and quantify a first increment of the background 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. An electronic device, characterized in that: The invention 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 automatic monitoring method for a power distribution station as claimed in any one of claims 1 to 4 is implemented.

7. 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 as described in any one of claims 1 to 4 is implemented.

Images