Power operation monitoring method for low-voltage protection power supply place
By collecting and analyzing power operation and video data in low-voltage power supply sites, the power supply interruption caused by equipment aging and unforeseeable factors is solved, real-time monitoring and fault warning of low-voltage power supply sites are achieved, and the stability and safety of power supply are ensured.
Patent Information
- Application Number
- CN202411714455.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-27
- Publication Date
- 2025-02-28
AI Technical Summary
There are aging electrical equipment, overload operation, insufficient on-duty configuration, and unforeseen natural disasters and external damage in low-voltage power supply sites, resulting in a high risk of power supply interruption.
A low-voltage power supply site power operation monitoring method is adopted. By collecting power lines and ambient temperature data, wirelessly transmitting it to the early warning system using a single terminal for analysis. Combining the image motion detection method of video data, abnormal situations of power operation and video data are judged, and alarms are sent to the operation and maintenance management terminal.
It realizes comprehensive monitoring and abnormal judgment of power operation and video data in low-voltage power supply sites, can promptly detect equipment failures and potential risks, and ensure the stability and safety of power supply.
Smart Images

Figure CN119543439A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of electric power monitoring, and more particularly to a method for monitoring electric power operation in a low-voltage power supply location. Background Art
[0002] With the vigorous development of social economy, there are more and more major local political and economic activities, and specific important places have higher and higher requirements for safe and reliable power supply from the power grid. In recent years, power supply companies have continuously increased their efforts in power grid construction, and the power grid dispatching capacity and power supply capacity have been significantly improved. However, due to the influence of unforeseen factors such as external damage, sudden equipment failures and bad weather, it is very difficult to truly avoid power outages, which also brings great challenges to the image building and social responsibility fulfillment of power supply companies. Common problems in current low-voltage important lines and power supply guarantee on-site work:
[0003] 1) The aging of electrical equipment is quite serious and the equipment has been running under overload for a long time.
[0004] 2) There is one person on duty at each pole and multiple people at one station, and the power supply security personnel are not in place.
[0005] 3) Unforeseen problems such as natural disasters and external damage lead to power outages.
[0006] Therefore, how to ensure the normal power supply of important lines in low-voltage power supply places and power supply sites and improve work efficiency is an urgent problem that technical personnel in this field need to solve. Summary of the invention
[0007] In view of this, the present invention provides a method for monitoring power operation in a low-voltage power supply location.
[0008] In order to achieve the above object, the present invention adopts the following technical solution:
[0009] A method for monitoring power operation in a low-voltage power supply location comprises the following steps:
[0010] Collect the power operation data of each power line in the low-voltage power supply site and the temperature data of the related environment and supporting equipment;
[0011] Wirelessly transmitting the power operation data and temperature data to the early warning system via the individual terminal;
[0012] The early warning system analyzes and compares the received power operation data and temperature data, determines whether the power operation data and temperature data are abnormal, and sends the judgment result to the operation and maintenance management terminal;
[0013] Collect video data of low-voltage power supply sites and transmit it to the early warning system via wired mode;
[0014] The early warning system receives video data of low-voltage power supply sites, uses image motion detection methods to determine whether the video data is abnormal and sends the judgment result to the operation and maintenance management terminal.
[0015] Furthermore, the power operation data of each power line in the low-voltage power supply location is collected, which specifically includes the following steps:
[0016] A low-voltage line intelligent monitoring unit is used to collect power operation data of each power line in the low-voltage power supply site. The low-voltage line intelligent monitoring unit is deployed on the incoming and outgoing lines of the low-voltage distribution cabinet and distribution box. The power operation data includes the three-phase voltage value, three-phase current value and power quality of each line.
[0017] Furthermore, the temperature data of the environment and supporting equipment related to the low-voltage power supply site are collected, which specifically includes the following steps:
[0018] Temperature data of the relevant environment and supporting equipment of the low-voltage power supply site are collected by using temperature sensors, wherein the temperature sensors include wireless temperature measuring devices, the relevant environments include the internal space of the distribution station building, the internal space of the low-voltage distribution room, the internal space of the low-voltage distribution cabinet, and the internal space of the distribution box; the supporting equipment includes busbars, switch wiring and cable connectors.
[0019] Furthermore, it is characterized in that the distribution box includes a primary distribution box, a secondary distribution box and a three-pole distribution box which are interconnected.
[0020] Furthermore, the power operation data and temperature data are wirelessly transmitted to the early warning system via the individual terminal, specifically including the following steps:
[0021] The individual terminal receives power operation data from multiple power lines in low-voltage power supply locations and temperature data of related environments and supporting equipment at multiple different locations through Lora wireless communication, and transmits the received power operation data and temperature data to the edge computing gateway in the early warning system through 5G wireless communication.
[0022] Furthermore, the image motion detection method is used to determine whether the video data is abnormal, which specifically includes the following steps:
[0023] Preprocessing the received video data;
[0024] The pre-processed video data is stored in time sequence to generate an image queue;
[0025] The optical flow method is used to detect anomalies in continuous images in the image queue at set intervals.
[0026] Furthermore, the received video data is preprocessed, specifically comprising the following steps:
[0027] Read and load video data;
[0028] Converting the video data into a continuous grayscale image;
[0029] A noise reduction operation is performed on the grayscale image, wherein the noise reduction operation includes a Gaussian blur or a median filter operation.
[0030] Furthermore, the optical flow method is used to perform abnormality detection on continuous images in the image queue at set intervals, which specifically includes the following steps:
[0031] The Lucas-Kanade algorithm is used to calculate the optical flow field between adjacent frames in the image queue, where the optical flow is the displacement vector of pixels in the image between consecutive frames;
[0032] When the displacement vector exceeds a set threshold, it is determined that the corresponding continuous image has an abnormality.
[0033] Furthermore, the operation and maintenance management terminal includes a smart phone and a tablet computer.
[0034] Furthermore, the above method also includes that the early warning system displays the power operation data and temperature data in real time in a visual manner.
[0035] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a method for monitoring power operation in a low-voltage power supply location, which has the following beneficial effects:
[0036] The present invention can obtain the power operation data of important lines in low-voltage power supply places and the temperature data of related environment and supporting equipment through the early warning system, and can also receive video data of low-voltage power supply places, so as to facilitate comprehensive judgment on the normal power operation of low-voltage power supply places.
[0037] The present invention uses the optical flow method to perform abnormality judgment on the video data of the low-voltage power supply site, and can detect small image changes such as changes in the state of switch equipment caused by faults in the low-voltage power supply site, so as to accurately and timely obtain equipment abnormality information of the low-voltage power supply site to ensure normal power supply. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.
[0039] Figure 1The present invention provides an overall flow chart of the method according to the embodiment of the present invention.
[0040] Figure 2 A schematic diagram of the connection of a three-level distribution box provided in an embodiment of the present invention.
[0041] Figure 3 A schematic diagram of a fault event and alarm time determination process provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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.
[0043] The embodiment of the present invention discloses a method for monitoring power operation in a low-voltage power supply location, comprising the following steps:
[0044] Collect the power operation data of each power line in the low-voltage power supply site and the temperature data of the related environment and supporting equipment;
[0045] Wirelessly transmitting the power operation data and temperature data to the early warning system via the individual terminal;
[0046] The early warning system analyzes and compares the received power operation data and temperature data, determines whether the power operation data and temperature data are abnormal, and sends the judgment result to the operation and maintenance management terminal;
[0047] Collect video data of low-voltage power supply sites and transmit it to the early warning system via wired mode;
[0048] The early warning system receives video data of low-voltage power supply sites, uses image motion detection methods to determine whether the video data is abnormal and sends the judgment result to the operation and maintenance management terminal.
[0049] The present application is mainly used for monitoring power data in a low-voltage power supply field. Specifically in practice, it may include the following methods and steps.
[0050] Step 1: The low-voltage line intelligent monitoring unit is deployed in the low-voltage distribution cabinet, integrated distribution box, etc., and is responsible for collecting information such as three-phase voltage, current, power quality, and temperature of each line.
[0051] The wireless temperature measuring device is deployed in the low-voltage distribution cabinet to monitor the temperature of key areas such as busbars, switch wiring, and cable joints in real time.
[0052] Portable infrared sensors monitor the equipment in the low-voltage distribution cabinet and the temperature in the distribution room in real time.
[0053] The cameras are deployed in important power supply areas such as power distribution stations, low-voltage distribution rooms, and low-voltage distribution cabinets to collect real-time image information of the lines and scenes in the important power supply areas.
[0054] Portable individual terminals are deployed in the power supply guarantee area.
[0055] Step 2: The low-voltage line intelligent monitoring unit, wireless temperature measuring device, and portable infrared sensor deployed on site all send data to the portable individual terminal via Lora wireless communication, and the portable individual terminal sends data to the edge computing gateway via 4G wireless communication. The video data information collected by the camera is transmitted via the wired public network.
[0056] Step 3: The early warning individual system conducts comprehensive analysis and processing based on the data collected by the sensors deployed on site (low-voltage line intelligent monitoring unit, wireless temperature measurement device, portable infrared sensor) and the video data collected by the camera, which includes two processes: video image comparison and judgment and fault event judgment. By comparing each frame of video images collected by the camera deployed on site, determining the difference in the image, judging the abnormal image results, and combining the results of the data collected by the sensors deployed on site, it is finally judged as a fault event or a non-fault event.
[0057] Step 4: The early warning individual system will send the final analysis results to the power supply operation and maintenance management personnel through mobile phone APP, mobile phone text messages, etc., so as to timely discover potential risk points and fault points of the line and deal with them.
[0058] The present invention is implemented as follows: Based on the current situation of power outages caused by unstable power supply, poor power quality and environmental changes in the distribution room in the low-voltage line of the distribution network, at each important power supply protection site, the low-voltage line intelligent monitoring unit is deployed in the low-voltage distribution cabinet, integrated distribution box and other important power supply protection lines, responsible for collecting the three-phase voltage, current, power quality, temperature and other information of each line. The wireless temperature measuring device is deployed in the low-voltage distribution cabinet to monitor the temperature of key areas such as busbars, switch wiring, and cable joints in real time. The portable infrared sensor monitors the temperature of the equipment in the low-voltage distribution cabinet and the distribution room in real time. The camera monitors the real-time picture information of the important power supply protection area in the low-voltage distribution cabinet and the distribution room in real time. The camera is deployed in the distribution station room, low-voltage distribution room, low-voltage distribution cabinet and other important power supply protection area nodes to collect the real-time picture information of the lines and scenes in the important power supply protection area. The portable single-soldier terminal is deployed in the power supply protection area. The early warning individual system is deployed on the edge computing gateway, and together with the low-voltage line intelligent monitoring unit, wireless temperature measurement device, portable infrared sensor, individual terminal, camera, edge computing gateway, etc., it forms a portable, quickly assembled and unassembled early warning individual system to provide on-site operation status information for power supply operation and maintenance management personnel.
[0059] The present invention is implemented as follows: the low-voltage line intelligent monitoring unit uploads the telemetry data such as A / B / C three-phase load current, voltage, temperature, power quality, and telemetering data such as short circuit fault, ground fault, loss of voltage, undervoltage, overvoltage, overtemperature, etc. to the single-soldier terminal through the LORA wireless communication solution. The wireless temperature measuring device uploads the temperature telemetry values of key areas such as busbars, switch wiring, and cable connectors to the single-soldier terminal through the LORA wireless communication solution. The portable infrared sensor uploads the ambient temperature telemetry values and picture information in the low-voltage distribution cabinet and the distribution room to the single-soldier terminal through wired communication. Finally, the unilateral terminal summarizes the data and uploads it to the edge computing gateway server of the early warning single-soldier system through 4G communication. The portable camera uploads the real-time collected video data to the edge computing gateway server of the early warning single-soldier system through a wired data network.
[0060] The present invention is implemented in this way: the functions of the early warning individual soldier system include a video image data analysis module, an abnormal event comprehensive judgment module, a display module, and a message push module.
[0061] The present invention is implemented as follows: an image data analysis module of an early warning individual soldier system, the main function of which is to process video image data. The image and video data collected by the camera are analyzed and processed through image preprocessing, frame difference method, mixed Gaussian model, background clipping method and other image processing methods. The module deploys portable cameras on site to ensure power supply, first screens out the video monitoring area to be processed, performs certain scaling, grayscale, and denoising on the image data, and extracts the feature image. By comparing the feature images, the image difference location is found, and the motion detection event is determined. According to the determination result, the difference image is found, the target area is calibrated, and the difference event is stored at the same time, and the determination result is returned, and the individual soldier early warning system starts the judgment.
[0062] The present invention is implemented as follows: an abnormal event judgment module of an early warning individual soldier system, the main function of which is to process the result of the video image data analysis module, according to the calibrated abnormal area and image, and at the same time, the individual soldier early warning system synchronously starts to make a comprehensive judgment on the remote signal data sent by the low-voltage line intelligent monitoring unit, wireless temperature measuring device, and portable infrared sensor in the system, and judge whether the event is an abnormal event or a non-abnormal event through the remote signal of A / B / C three-phase short circuit fault, ground fault, loss of voltage, undervoltage, overvoltage, overtemperature and other faults, and store the event.
[0063] The present invention is implemented as follows: a display module of the early warning individual soldier system, the main function of the module is to display the abnormal events analyzed and processed by the abnormal event determination module for users to view and analyze.
[0064] The present invention is implemented in this way: a message push module of the early warning individual soldier system, the main function of the module is to send message notifications of abnormal events, and the message notification forms are mobile phone APP and text messages.
[0065] See also Figure 1 As shown, video image information of important power supply areas is collected by cameras deployed on site and uploaded to the early warning individual system for local edge computing gateway storage. The early warning individual system performs video data analysis and processing based on the video data collected by the cameras deployed on site, as well as the remote signal data sent by the low-voltage line intelligent monitoring unit, wireless temperature measuring device, and portable infrared sensor deployed on site for comprehensive judgment.
[0066] Furthermore, the early warning individual soldier system generates a monitoring topology map based on the low-voltage line intelligent monitoring unit, wireless temperature measuring device and other low-voltage terminal sensing devices deployed on site, portable infrared cameras, cameras and other equipment combined with the actual low-voltage line power supply topology map on site, which will be used for subsequent research and positioning.
[0067] Furthermore, in the image preprocessing process of the early warning individual soldier system, the background system selects the monitored area according to the real-time monitoring images collected by different cameras, and performs preprocessing such as scaling and grayscale on each frame of the image to reduce the storage size of the image data. At the same time, the early warning individual soldier system performs image enhancement processing on the image information to improve the image clarity, and performs denoising processing on the image to ensure the subsequent extraction of abnormal image features.
[0068] Furthermore, the early warning individual soldier system stores the processed image content in the image queue, and then performs frame difference processing on the image at a certain interval (about 100ms) to obtain the frame difference map of the image. The processed frame difference map is then corroded, expanded, and other processing methods are performed to make the difference area of the image more obvious and more intuitive. Finally, the image is positioned in the difference area after comparison to find the difference point between the previous and next frames.
[0069] Furthermore, the early warning individual soldier system can ultimately determine the occurrence of motion events in the monitored area based on the changes in the image within a certain period of time (2S) and the frequency of changes, record the events and push the events to the event management module for storage. At the same time, the early warning individual soldier system searches for fault remote signaling information (A / B / C three-phase short circuit fault, ground fault, loss of voltage, undervoltage, overvoltage, overtemperature, etc.) uploaded by the low-voltage line intelligent monitoring unit, wireless temperature measurement device, portable infrared sensor and other equipment deployed on-site at the corresponding time according to the time. The early warning individual soldier system conducts a comprehensive analysis and judgment to determine the type of event detected as a fault event, non-fault event, or abnormal alarm event, and locates the fault area in combination with the system monitoring topology map.
[0070] Furthermore, the early warning individual system, based on the determined fault events, pushes fault event information and image information to power supply operation and maintenance management personnel via mobile phone APP and text messages, and promptly warns of potential risk points and fault points of the line, ultimately achieving the goal and effect of early warning.
[0071] First, based on the selected important power supply scenarios and important power supply lines, combined with the power supply topology of the actual lines, determine the power supply corresponding lines, key power supply nodes, and key areas such as low-voltage distribution rooms, low-voltage distribution cabinets, cable distribution boxes, etc. The specific deployment is as follows:
[0072] The low-voltage line intelligent monitoring unit is installed in the low-voltage distribution cabinet, the inlet and outlet lines of the primary, secondary, tertiary and other important power supply line branch boxes, and collects the A / B / C / N phase voltage, current, temperature and other telemetry data;
[0073] The wireless temperature measuring device is deployed in the low-voltage power distribution cabinet to monitor the temperature data of key areas such as A / B / C / N busbars, switch inlet and outlet lines, and cable joints in real time;
[0074] Portable infrared sensors monitor temperature data in real time in low-voltage distribution cabinets, primary, secondary, and tertiary distribution boxes, etc.
[0075] The camera is mainly used to monitor important power supply areas such as distribution stations, low-voltage distribution rooms, low-voltage distribution cabinets, and junction boxes, and collects real-time image information of the lines and scenes in these important power supply areas.
[0076] The portable individual terminal is deployed in the power supply area and is used in conjunction with the low-voltage line intelligent monitoring unit and wireless temperature measurement device.
[0077] Based on the actual power supply topology of the line and the nodes where the equipment is deployed, a line power supply grid diagram is drawn inside the early warning individual system.
[0078] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.
[0079] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for monitoring power operation in a low-voltage power supply location, characterized in that: The following steps are involved: Collect the power operation data of each power line in the low-voltage power supply site and the temperature data of the related environment and supporting equipment; Wirelessly transmitting the power operation data and temperature data to the early warning system via the individual terminal; The early warning system analyzes and compares the received power operation data and temperature data, determines whether the power operation data and temperature data are abnormal, and sends the judgment result to the operation and maintenance management terminal; Collect video data of low-voltage power supply sites and transmit it to the early warning system via wired mode; The early warning system receives video data of low-voltage power supply sites, uses image motion detection methods to determine whether the video data is abnormal and sends the judgment result to the operation and maintenance management terminal.
2. The method for monitoring power operation in a low-voltage power supply location according to claim 1 is characterized in that: Collecting the power operation data of each power line in the low-voltage power supply site includes the following steps: A low-voltage line intelligent monitoring unit is used to collect power operation data of each power line in the low-voltage power supply site. The low-voltage line intelligent monitoring unit is deployed on the incoming and outgoing lines of the low-voltage distribution cabinet and distribution box. The power operation data includes the three-phase voltage value, three-phase current value and power quality of each line.
3. The method for monitoring power operation in a low-voltage power supply location according to claim 1 is characterized in that: Collect the temperature data of the relevant environment and supporting equipment of the low-voltage power supply site, including the following steps: Temperature data of the relevant environment and supporting equipment of the low-voltage power supply site are collected by using temperature sensors, wherein the temperature sensors include wireless temperature measuring devices, the relevant environments include the internal space of the distribution station building, the internal space of the low-voltage distribution room, the internal space of the low-voltage distribution cabinet, and the internal space of the distribution box; the supporting equipment includes busbars, switch wiring and cable connectors.
4. The method for monitoring power operation in a low-voltage power supply location according to any one of claims 2 or 3, characterized in that: The distribution box comprises a primary distribution box, a secondary distribution box and a three-pole distribution box which are interconnected.
5. The method for monitoring power operation in a low-voltage power supply location according to claim 1, characterized in that: The power operation data and temperature data are wirelessly transmitted to the early warning system via the individual terminal, specifically including the following steps: The individual terminal receives power operation data from multiple power lines in low-voltage power supply locations and temperature data of related environments and supporting equipment at multiple different locations through Lora wireless communication, and transmits the received power operation data and temperature data to the edge computing gateway in the early warning system through 5G wireless communication.
6. The method for monitoring power operation in a low-voltage power supply location according to claim 1, characterized in that: Determining whether the video data is abnormal by using an image motion detection method specifically includes the following steps: Preprocessing the received video data; The pre-processed video data is stored in time sequence to generate an image queue; The optical flow method is used to detect anomalies in continuous images in the image queue at set intervals.
7. The method for monitoring power operation in a low-voltage power supply location according to claim 6 is characterized in that: The received video data is preprocessed, specifically including the following steps: Read and load video data; Converting the video data into a continuous grayscale image; A noise reduction operation is performed on the grayscale image, wherein the noise reduction operation includes a Gaussian blur or a median filter operation.
8. The method for monitoring power operation in a low-voltage power supply location according to claim 6 is characterized in that: The optical flow method is used to detect abnormalities in the image queue at intervals of a set length of time, specifically including the following steps: The Lucas-Kanade algorithm is used to calculate the optical flow field between adjacent frames in the image queue, where the optical flow is the displacement vector of pixels in the image between consecutive frames; When the displacement vector exceeds a set threshold, it is determined that the corresponding continuous image has an abnormality.
9. The method for monitoring power operation in a low-voltage power supply location according to claim 1, characterized in that: The operation and maintenance management terminal includes a smart phone and a tablet computer.
10. The method for monitoring power operation in a low-voltage power supply location according to claim 1, characterized in that: It also includes that the early warning system displays the power operation data and temperature data in real time in a visual manner.