Early warning method, system and equipment for monitoring icing state of power grid and medium

Abstract

The invention relates to the technical field of power grid icing state early warning, in particular to an early warning method, system and device for monitoring the icing state of a power grid and a medium. The method comprises the steps of obtaining map coordinate position information of a power transmission line based on power grid construction, and drawing a power grid topological pipeline schematic diagram; then, cameras are reasonably arranged on the power transmission line, and video information of the icing state is collected; setting an electronic fence based on the topological graph, determining a specific monitoring area coordinate range, and carrying out icing state identification and analysis on the collected video data; transmitting the icing state data to a distribution transformer room server in real time for processing through a power transmission line carrier technology; and finally, uploading a processing result to a power operation and maintenance system, calculating an early warning level according to a preset rule, and pushing early warning information in time. Wide-range real-time monitoring of the icing state of the power transmission line is realized, and the accuracy and timeliness of icing monitoring are remarkably improved.

Description

Technical Field

[0001] This application relates to the technical field of power grid icing state warning, and in particular to a method, system, device and medium for monitoring power grid icing state warning. Background Art

[0002] Icing on transmission lines is a natural disaster that seriously affects the safe operation of the power grid. Currently, online monitoring technologies based on sensors are mainly used. By installing devices such as strain sensors and load sensors on transmission lines, data such as wire stress and deformation are collected in real time to judge the icing state. At the same time, a remote monitoring system based on image recognition is also applied for icing state detection.

[0003] However, in the prior art, under complex climate conditions, since the formation and growth process of icing is affected by various factors such as wind speed, wind direction, temperature and humidity, the single-point data collected by sensors is difficult to comprehensively reflect the actual icing situation of transmission lines, and large-scale, real-time and accurate icing monitoring cannot be achieved; this situation needs to be further improved. Summary of the Invention

[0004] In order to solve the problem that the existing monitoring methods cannot achieve large-scale, real-time and accurate icing monitoring, this application provides a method, system, device and medium for monitoring power grid icing state warning, and adopts the following technical solutions: In the first aspect, this application provides a method for monitoring power grid icing state warning, including the following steps: Based on the power grid construction, obtain the map coordinate position information of the transmission line to obtain a schematic diagram of the power grid topological pipeline; According to the schematic diagram of the power grid topological pipeline, collect video information through a camera installed on the transmission line to obtain video data to be processed; Based on the schematic diagram of the power grid topological pipeline, set an electronic fence to determine the area coordinate information for monitoring the icing state, and obtain the range of the area to be monitored; Identify the icing state according to the video data to be processed and the range of the area to be monitored to obtain icing state data; Based on the icing state data, transmit the data to the distribution transformer room server through the transmission line carrier to obtain the processed icing monitoring result; According to the icing monitoring result, upload the data to the power operation and maintenance system, calculate the warning level, and push warning information.

[0005] By adopting the above technical solution, this application first obtains the map coordinate position information of the transmission line based on the power grid construction and draws a schematic diagram of the power grid topology pipeline; then reasonably arranges cameras on the transmission line to collect video information on the icing state; sets an electronic fence based on the topology map to determine the specific monitoring area coordinate range, and performs icing state recognition and analysis on the collected video data; transmits the icing state data to the distribution transformer room server for processing in real time through the transmission line carrier technology; finally uploads the processing result to the power operation and maintenance system, calculates the warning level according to the preset rules and timely pushes warning information; realizes the large-scale real-time monitoring of the icing state of the transmission line, and significantly improves the accuracy and timeliness of icing monitoring.

[0006] Optionally, to perform icing state recognition and obtain icing state data, the specific steps are as follows: Use the generalized vector space transformation to filter and enhance the input video image to obtain an initial image feature matrix; According to the initial image feature matrix, through vector convolution operation and neural grid mapping, calculate the semantic feature vector of the image; Based on the semantic feature vector, use the signal step function for feature transformation to generate the structural feature data of the image; According to the structural feature data, perform vector convolution operation in the preset coordinate system and output the icing state determination result.

[0007] By adopting the above technical solution, this application first uses the generalized vector space transformation technology to perform adaptive filtering and enhancement processing on the input video image, effectively eliminating environmental interference factors and obtaining a clear initial image feature matrix; then combines vector convolution operation with neural grid mapping to realize the deep extraction of image semantic features and obtain a high-dimensional semantic feature vector; then uses the signal step function to perform non-linear transformation on the features to generate feature data that can represent the icing structure; finally performs vector convolution operation in the preset coordinate system and outputs an accurate icing state determination result; through multi-level feature extraction and transformation processing, it effectively overcomes the interference of environmental factors and significantly improves the robustness and accuracy of icing state recognition.

[0008] Optionally, to calculate the warning level and push warning information, the specific steps are as follows: Based on the warning level, transmit the icing warning information to the power grid operation and maintenance system to obtain detailed warning information; According to the detailed warning information and the map coordinate position information of the transmission line, obtain the target push information; Based on the target push information, push the warning information to the relevant responsible persons.

[0009] By adopting the above technical solution, the present application first calculates the warning level according to the icing monitoring results and transmits the warning information to the power grid operation and maintenance system. The system combines historical data and current monitoring data to generate detailed warning information including the icing degree, development trend, and potential risks, etc.; then based on the accurate map coordinate position information of the transmission line, the detailed warning information is associated and matched with the geographical location information to form target push information for a specific area; finally, according to the division of responsibility areas and the setting of job responsibilities, the warning information is accurately pushed to the relevant responsible persons; by deeply integrating the warning information with the geographical location information, the hierarchical and accurate push of the warning information is realized, significantly improving the transmission efficiency and response speed of the warning information.

[0010] Optionally, the method further includes the following steps: Obtain meteorological information and historical icing data, and obtain monitoring rule information according to the meteorological information and historical icing data, wherein the meteorological information includes temperature, humidity, and wind speed, and the monitoring rule information includes monitoring frequency and icing warning threshold; Obtain the distribution area information of the transmission line, and determine the monitoring parameters of each area according to the area information and the monitoring rule information, wherein the monitoring parameters include the icing monitoring frequency and warning threshold under different altitude and different terrain conditions; Trigger the video monitoring instruction of the corresponding area according to the monitoring parameters; Obtain the real-time icing state data of each area, compare the real-time icing state data with the preset icing warning threshold to obtain the icing risk level, and when the icing risk level exceeds the preset level, increase the monitoring frequency of the corresponding area; Update the monitoring rule information according to the increased monitoring frequency.

[0011] By adopting the above technical solution, the present application first obtains meteorological information such as temperature, humidity, and wind speed and historical icing data, and generates monitoring rule information including monitoring frequency and icing warning threshold through data analysis; then according to the distribution area information of the transmission line, considering different altitude and terrain conditions, formulates differentiated monitoring parameters for each area; triggers the video monitoring instruction of the corresponding area based on these monitoring parameters; collects the real-time icing state data of each area in real time and dynamically compares it with the preset warning threshold. When the icing risk level exceeds the preset level, the system automatically increases the monitoring frequency of the corresponding area; finally, updates the monitoring rule information according to the adjusted monitoring frequency to form a closed-loop optimization mechanism; by establishing an adaptive monitoring mechanism for multi-source data fusion, the dynamic optimization of the monitoring strategy is realized, significantly improving the pertinence of icing monitoring and the accuracy of warning.

[0012] Optionally, obtain meteorological information and historical icing data, and obtain monitoring rule information according to the meteorological information and historical icing data, specifically including the following steps: Extract temperature, humidity, and wind speed data during the icing-prone period from the meteorological information; Determine the monitoring frequency and icing warning threshold according to the temperature, humidity, wind speed data, and the historical icing data; Associate the monitoring frequency and the icing warning threshold to obtain the monitoring rule information.

[0013] By adopting the above technical solution, the present application first accurately extracts temperature, humidity, and wind speed data during the icing-prone period from meteorological information through data analysis; then deeply correlates and analyzes these key meteorological data with historical icing data, and scientifically determines differentiated monitoring frequencies and icing warning thresholds according to the probability and severity of icing under different meteorological conditions; finally, intelligently associates the monitoring frequency with the warning threshold to form complete monitoring rule information, realizing the optimal allocation of monitoring resources; through in-depth mining and correlation analysis of historical data, an intelligent rule generation mechanism for icing monitoring is established, significantly improving the accuracy of monitoring and the efficiency of resource utilization.

[0014] Optionally, determine the monitoring frequency and icing warning threshold according to the temperature, humidity, wind speed data, and the historical icing data, specifically including the following steps: Based on the historical icing data, obtain the monitoring reference frequency and the reference warning threshold; Adjust the monitoring reference frequency according to the temperature, humidity, wind speed data to obtain the monitoring frequency; Adjust the reference warning threshold according to the temperature, humidity, wind speed data to obtain the icing warning threshold.

[0015] By adopting the above technical solution, the present application first analyzes historical icing data, extracts icing characteristics in different regions and seasons, and establishes a monitoring reference frequency and a reference warning threshold; then dynamically adjusts the monitoring reference frequency according to real-time collected meteorological data such as temperature, humidity, and wind speed, appropriately increasing the monitoring frequency under meteorological conditions prone to icing and decreasing the frequency under conditions unfavorable for icing formation; at the same time, adjusts the reference warning threshold accordingly based on these meteorological data to form an icing warning threshold matching the current meteorological conditions; through establishing a linkage mechanism between the reference value and real-time meteorological data, intelligent adjustment of monitoring parameters is realized, significantly improving the adaptability of icing monitoring and the accuracy of early warning.

[0016] Optionally, trigger a video monitoring instruction for the corresponding area according to the monitoring parameters, specifically including the following steps: Obtain the current monitoring frequency of each area according to the monitoring parameters; Generate regional monitoring status data based on the icing monitoring results and geographical location information of each region; Combine the regional monitoring status data and the monitoring rule information to calculate the monitoring frequency adjustment value for each region; Update the video monitoring instructions for each region according to the monitoring frequency adjustment value.

[0017] By adopting the above technical solution, the present application first obtains the currently set monitoring frequency according to the monitoring parameters of each region; then combines the real-time icing monitoring results of each region with its precise geographical location information to generate regional monitoring status data including icing status, terrain features and climate conditions; then deeply analyzes these monitoring status data and the preset monitoring rule information to calculate the monitoring frequency adjustment values for different regions, realizing the optimal allocation of monitoring resources; finally, automatically updates the video monitoring instructions for each region according to the calculated frequency adjustment values to ensure that the monitoring intensity matches the regional risks; by establishing an intelligent linkage mechanism between regional characteristics and monitoring instructions, the precise allocation of monitoring resources is realized, and the pertinence and efficiency of icing monitoring are significantly improved.

[0018] In a second aspect, the present application provides a monitoring power grid icing status warning system, including: A power grid topology pipeline schematic diagram acquisition module, configured to obtain the map coordinate position information of a transmission line based on power grid construction to obtain a power grid topology pipeline schematic diagram; A to-be-processed video data acquisition module, configured to acquire video information through a camera installed on the transmission line according to the power grid topology pipeline schematic diagram to obtain to-be-processed video data; A to-be-monitored area range acquisition module, configured to set an electronic fence based on the power grid topology pipeline schematic diagram, determine the area coordinate information for monitoring the icing status, and obtain the to-be-monitored area range; An icing status data acquisition module, configured to perform icing status identification according to the to-be-processed video data and the to-be-monitored area range to obtain icing status data; An icing monitoring result acquisition module, configured to transmit the data to a distribution transformer room server through power line carrier based on the icing status data to obtain the processed icing monitoring result; An early warning information push module, configured to upload the data to a power operation and maintenance system according to the icing monitoring result, calculate the early warning level, and push the early warning information.

[0019] In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the steps of the above method for monitoring the power grid icing status warning are implemented.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for monitoring the icing state of a power grid and giving early warnings are implemented.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. First, based on the power grid construction, the map coordinate position information of the transmission line is obtained, and a schematic diagram of the power grid topology pipeline is drawn; then cameras are reasonably arranged on the transmission line to collect video information on the icing state; an electronic fence is set based on the topology map to determine the specific coordinate range of the monitoring area, and the collected video data is used for icing state recognition and analysis; the icing state data is transmitted to the distribution transformer room server for processing in real time through the transmission line carrier technology; finally, the processing result is uploaded to the power operation and maintenance system, and the warning level is calculated according to the preset rules and the warning information is pushed in time; realizing the large-scale real-time monitoring of the icing state of the transmission line, and significantly improving the accuracy and timeliness of icing monitoring; 2. First, the input video image is subjected to adaptive filtering and enhancement processing by using the generalized vector space transformation technology, effectively eliminating environmental interference factors to obtain a clear initial image feature matrix; then, the vector convolution operation is combined with the neural grid mapping to realize the deep extraction of the image semantic features and obtain a high-dimensional semantic feature vector; then, the signal step function is used to perform a non-linear transformation on the features to generate feature data that can characterize the icing structure; finally, the vector convolution operation is performed in a preset coordinate system to output an accurate icing state determination result; through multi-level feature extraction and transformation processing, the interference of environmental factors is effectively overcome, and the robustness and accuracy of icing state recognition are significantly improved; 3. First, the warning level is calculated according to the icing monitoring result, and the warning information is transmitted to the power grid operation and maintenance system. The system combines historical data and current monitoring data to generate detailed warning information including the icing degree, development trend, potential risks, etc.; then, based on the accurate map coordinate position information of the transmission line, the detailed warning information is associated and matched with the geographical location information to form target push information for a specific area; finally, according to the division of the responsible area and the setting of job responsibilities, the warning information is accurately pushed to the relevant responsible persons; by deeply integrating the warning information with the geographical location information, the hierarchical and accurate push of the warning information is realized, and the transmission efficiency and response speed of the warning information are significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a schematic flowchart of a method for monitoring the icing state of a power grid and giving early warnings according to an embodiment of the present application; Figure 2 is a schematic flowchart of step S140 in a method for monitoring the icing state of a power grid and giving early warnings according to an embodiment of the present application; Figure 3 It is a schematic flow chart of step S160 in a method for monitoring the ice-covered state of a power grid and giving an early warning according to an embodiment of the present application; Figure 4 It is a schematic flow chart of updating monitoring rule information in a method for monitoring the ice-covered state of a power grid and giving an early warning according to an embodiment of the present application; Figure 5 It is a schematic flow chart of step S410 in a method for monitoring the ice-covered state of a power grid and giving an early warning according to an embodiment of the present application; Figure 6 It is a schematic flow chart of step S412 in a method for monitoring the ice-covered state of a power grid and giving an early warning according to an embodiment of the present application; Figure 7 It is a schematic flow chart of step S430 in a method for monitoring the ice-covered state of a power grid and giving an early warning according to an embodiment of the present application; Figure 8 It is a schematic diagram of the modules of a system for monitoring the ice-covered state of a power grid and giving an early warning according to an embodiment of the present application; Figure 9 It is an internal structure diagram of an electronic device according to an embodiment of the present application. Detailed implementation manners

[0023] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. As used in the specification and appended claims of the present application, the singular forms "a", "an", "the", "above-mentioned", "the foregoing", "this" are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present application refers to any and all possible combinations including one or more of the listed items.

[0024] Hereinafter, the terms "first" and "second" are only used for descriptive purposes, and cannot be construed as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present application, unless otherwise specified, the meaning of "plural" is two or more.

[0025] The following further describes the embodiments of the present application in detail with reference to the accompanying drawings of the specification.

[0026] In a first aspect, the present application provides a method for monitoring the ice-covered state of a power grid and giving an early warning. Referring to Figure 1 , the method includes the following steps: S110. Based on the construction of the power grid, obtain the map coordinate position information of the transmission line to obtain a schematic diagram of the power grid topological pipeline.

[0027] In this embodiment, the map coordinate position information refers to the spatial positioning information such as the longitude, latitude, and altitude of the transmission line, and the grid topology pipeline schematic diagram refers to the visual graph reflecting the spatial distribution and connection relationship of the transmission line.

[0028] Specifically, based on the grid construction planning drawings and on-site survey data, the GPS positioning technology is used to obtain the spatial coordinates of the key nodes of the transmission line, including the pole tower positions and the line turning points. These coordinate points are connected through the Geographic Information System (GIS) to form the grid topology pipeline schematic diagram. For example, a certain 330 kV transmission line from Substation A to Substation B passes through 20 pole towers, and the longitude, latitude coordinates and altitude of each pole tower are recorded, and a complete path diagram is formed by connecting with line segments.

[0029] S120. According to the grid topology pipeline schematic diagram, video information is collected by the cameras installed on the transmission line to obtain the video data to be processed.

[0030] In this embodiment, the camera refers to the high-definition monitoring device installed on the transmission line pole tower, and the video data includes the image frame sequence, the shooting time, and the device number.

[0031] Specifically, high-definition cameras with waterproof and anti-fog functions are installed at important pole tower nodes, and a 360-degree rotating pan-tilt is used to achieve omnidirectional monitoring. The video collected by the camera is recorded at a frequency of 25 frames per second, and the resolution is not less than 1920×1080 pixels. The video data is stored in a data packet every 5 minutes, and the time stamp and device location information are added. For example, on the pole towers in the icing-prone area, one camera is installed every 3-5 pole towers to ensure the continuity and integrity of the monitoring field of view.

[0032] S130. Based on the grid topology pipeline schematic diagram, an electronic fence is set to determine the area coordinate information for monitoring the icing state, and the range of the area to be monitored is obtained.

[0033] In this embodiment, the electronic fence refers to the virtual monitoring boundary delimited on the grid topology pipeline schematic diagram, and the area coordinate information includes the set of boundary point coordinates of the monitoring area.

[0034] Specifically, according to the spatial distribution characteristics of the transmission line, a polygon electronic fence is set in the GIS system. The fence boundary should fully consider the swing range of the transmission line and extend 10-15 meters outward from the transmission line as the center. For areas with complex terrain, the fence range is adjusted appropriately according to the actual situation. The system automatically extracts the vertex coordinates of the electronic fence to form a closed polygon area as the target range for icing monitoring.

[0035] S140. The icing state is identified according to the video data to be processed and the range of the area to be monitored, and the icing state data is obtained.

[0036] In this embodiment, ice-covering state recognition refers to the process of analyzing and judging the ice-covering characteristics of a transmission line in video data. The ice-covering state data includes ice-covering thickness, ice-covering length, and ice-covering shape.

[0037] Specifically, first, an ice-covering feature reference table is established, which includes the diameter change range and surface reflection characteristics of the wire under different ice-covering states. Image processing technology is used to preprocess the video data. The wire contour is extracted through an edge detection algorithm, the real-time diameter of the wire is calculated, and compared with the standard diameter. At the same time, the ice-covering state of the wire surface is judged based on a preset gray value threshold. For example, when the wire diameter increases by more than 30% and the surface presents a characteristic gray value, it is determined to be in an ice-covering state. The system records the ice-covering start time and development speed.

[0038] S150. Based on the ice-covering state data, the data is transmitted to the distribution transformer room server through the power line carrier of the transmission line to obtain the processed ice-covering monitoring result.

[0039] In this embodiment, the power line carrier of the transmission line refers to the technology of using the transmission line itself as a communication medium to transmit data, and the distribution transformer room server refers to the data processing and storage device installed in the substation distribution room.

[0040] Specifically, the power line carrier communication (PLC) technology is adopted to modulate the ice-covering state data into a high-frequency signal and transmit it to the nearest distribution transformer room server through the transmission line. After receiving the data, the server demodulates and performs data verification to eliminate interference and error data. For the situation of data transmission interruption, the system automatically enables the standby wireless communication method. The server conducts preliminary analysis and sorting on the received data to form a monitoring result report in a standard format.

[0041] S160. According to the ice-covering monitoring result, the data is uploaded to the power operation and maintenance system, the warning level is calculated, and warning information is pushed.

[0042] In this embodiment, the power operation and maintenance system refers to a comprehensive information platform for managing the operation status of power grid equipment, and the warning level refers to different warning levels divided according to the severity of ice-covering.

[0043] Specifically, an ice-covering warning classification standard table is established. According to the ice-covering thickness, ice-covering range, and meteorological conditions, the warning level is divided into four levels: blue (slight), yellow (medium), orange (severe), and red (extremely severe). The system automatically matches the warning level according to the monitoring result and comprehensively judges by referring to the ice-covering state of adjacent areas. When the warning condition is reached, warning information is sent to relevant operation and maintenance personnel through various methods such as text messages and APP push. The warning information includes the ice-covering location, level, and development trend.

[0044] In one embodiment, referring to Figure 2, in step S140, ice-covered state recognition is performed to obtain ice-covered state data, which specifically includes the following steps: S141. Use a generalized vector space transform to filter and enhance the input video image to obtain an initial image feature matrix.

[0045] In this embodiment, the generalized vector space transform refers to a method of converting image data to a specific mathematical space for processing, including Fourier transform, wavelet transform, etc. The initial image feature matrix refers to the image data structure after preprocessing, which contains the basic feature information of the image.

[0046] Specifically, first construct an image enhancement parameter table, which contains contrast parameters and brightness parameters under different weather conditions. Extract frames from the input video image, and select key frames for processing every second. Use wavelet transform to perform multi-scale decomposition on the image to remove high-frequency noise. Then perform adaptive histogram equalization according to the parameter table to enhance the contrast of the image. Finally, convert the processed image data into an M×N-dimensional feature matrix, where M and N correspond to the height and width of the image respectively.

[0047] S142. According to the initial image feature matrix, calculate the semantic feature vector of the image through vector convolution operation and neural grid mapping.

[0048] In this embodiment, the vector convolution operation refers to a mathematical operation of using a preset convolution kernel to extract features from an image, and the neural grid mapping refers to the process of performing feature transformation on the extracted features through a neural network.

[0049] Specifically, establish a convolution kernel database, which contains basic convolution kernels for edge detection and texture analysis. Use a 3×3 Sobel operator to perform edge detection on the image and extract the wire contour features. Input the extracted features into a pre-trained lightweight neural network, which has a three-layer structure and contains 64 hidden layer nodes. The network outputs a K-dimensional semantic feature vector, where the value range of K is from 32 to 64, which is used to represent the high-level features of the image.

[0050] S143. Based on the semantic feature vector, use a signal step function to perform feature transformation to generate the structural feature data of the image.

[0051] In this embodiment, the signal step function refers to a mathematical function for non-linear feature transformation, and the structural feature data refers to a data set that describes the shape and position relationship of objects in the image.

[0052] Specifically, for the icing monitoring scenario, a three-segment step function is designed to establish the mapping relationship between the characteristic thresholds and the icing state, achieving accurate identification of the icing state based on multi-feature fusion. The characteristic thresholds include the characteristic threshold of the wire diameter increment, the characteristic threshold of the surface texture, and the characteristic threshold of the reflectivity. When the characteristic value is less than 0.3, it indicates that the wire surface is smooth without icing, and the function output is 0; when the characteristic value is between 0.3 and 0.7, it corresponds to the slight icing state, and the function calculates the output value through linear interpolation; when the characteristic value is greater than 0.7, it indicates obvious icing, and the function output is 1. This step function is closely related to the icing characteristics. Among them, the threshold of the wire diameter increment characteristic is set to 0.35, the threshold of the surface texture characteristic is set to 0.65, and the threshold of the reflectivity characteristic is set to 0.5. The transformed feature vectors are further organized into structural feature data, including the wire position, shape change, and surface features. For example, when the detected characteristic value of the wire diameter increment of a certain section of the wire is 0.4 and the characteristic value of the surface texture is 0.8, it can be determined as the moderate icing state.

[0053] S144. Perform vector convolution operation on the structural feature data in the preset coordinate system, and output the icing state determination result.

[0054] In this embodiment, the preset coordinate system refers to a standardized spatial reference system for describing the icing state, and the icing state determination result includes information such as the icing degree and icing type.

[0055] Specifically, an icing state determination rule library is established, which contains characteristic templates of different icing types. In the standardized two-dimensional coordinate system, the structural feature data is matched and calculated with the characteristic templates. The improved cosine similarity algorithm is used to calculate the similarity between feature vectors. When the similarity exceeds the preset threshold (usually 0.85), the icing state is determined. The system outputs the icing state determination result, including the icing position and icing thickness.

[0056] In one embodiment, referring to Figure 3 , in step S160, the warning level is calculated and warning information is pushed, which specifically includes the following steps: S161. Based on the warning level, transmit the icing warning information to the power grid operation and maintenance system to obtain the detailed warning information.

[0057] In this embodiment, the warning level refers to different warning levels divided according to the severity of the icing state, and the detailed warning information includes the warning time, warning area, and icing parameters.

[0058] Specifically, an early warning level assessment form is established, and the early warning level is divided into four levels: blue (ice thickness less than 5 mm), yellow (ice thickness 5 - 10 mm), orange (ice thickness 10 - 20 mm), and red (ice thickness greater than 20 mm). The system pushes the ice covering early warning information to the power operation and maintenance system in a unified data format, and at the same time records environmental parameters such as temperature, humidity, and wind speed.

[0059] S162. Obtain the target push information according to the early warning detailed information and the map coordinate position information of the transmission line.

[0060] In this embodiment, the target push information refers to the precise early warning information screened according to the geographical location and early warning level, including the specific location description and disposal suggestions of the early warning area.

[0061] Specifically, design an early warning information distribution rule form, and divide the management responsibility area according to the geographical location of the transmission line. Associate the early warning detailed information with the map coordinate position information to determine the scope and boundary of the affected area. The system automatically matches the list and contact information of the operation and maintenance personnel in this area and generates the target push information including disposal suggestions.

[0062] S163. Based on the target push information, push the early warning information to the relevant responsible persons.

[0063] In this embodiment, the relevant responsible persons refer to the operation and maintenance personnel who are responsible for the management of the early warning area, including the area supervisor, the inspector, and the emergency disposal personnel.

[0064] Specifically, construct a multi-level early warning information push mechanism and establish a database of early warning information recipients. Determine the push scope according to the early warning level. The blue early warning is pushed to the area inspector, and the yellow and above early warnings are simultaneously pushed to the area supervisor. The system pushes the early warning information in parallel through multiple channels such as text messages, WeChat, and the operation and maintenance APP to ensure that the information is delivered in a timely manner.

[0065] In one embodiment, referring to Figure 4 , the method further includes the following steps: S410. Obtain meteorological information and historical ice covering data, and obtain monitoring rule information according to the meteorological information and historical ice covering data.

[0066] Among them, the meteorological information includes temperature, humidity, and wind speed, and the monitoring rule information includes the monitoring frequency and the ice covering early warning threshold.

[0067] In this embodiment, the meteorological information refers to the key meteorological element data that affects the formation of ice covering, the historical ice covering data refers to the records of the occurrence time, location, and degree of past ice covering events, and the monitoring rule information refers to the ice covering monitoring strategy formulated according to historical experience.

[0068] Specifically, establish a correlation table between meteorological conditions and icing risks, and establish a mapping relationship between meteorological elements such as temperature, humidity, and wind speed and icing risk levels. Collect historical icing data for the past 5 years, classify and count them by season and region, and identify high-incidence periods and regions. Determine the basic monitoring frequency based on the statistical results. By establishing the corresponding relationship between meteorological conditions and monitoring rules, the reasonable allocation of monitoring resources is achieved.

[0069] S420. Obtain the information on the distribution area of the transmission line, and determine the monitoring parameters for each area according to the area information and monitoring rule information.

[0070] Among them, the monitoring parameters include the icing monitoring frequency and warning threshold under different altitudes and different terrain conditions.

[0071] In this embodiment, the area information refers to the geographical feature data of the area where the transmission line is located, and the monitoring parameters refer to the monitoring scheme parameters customized according to the area characteristics.

[0072] Specifically, construct a regional feature classification table, and divide the transmission line area into different types according to factors such as altitude and terrain features. Establish a mapping rule between regional types and monitoring parameters. The monitoring frequency in mountainous areas (altitude > 1000 meters) is 50% higher than that in plain areas, and the warning threshold in coastal areas is 20% lower than that in inland areas. By setting differentiated monitoring parameters, the pertinence and efficiency of monitoring are improved.

[0073] S430. Trigger the video monitoring instruction for the corresponding area according to the monitoring parameters.

[0074] In this embodiment, the video monitoring instruction refers to the control signal for controlling the working state of the video monitoring device, including the monitoring time and monitoring angle.

[0075] Specifically, design a monitoring instruction trigger rule table, and automatically generate monitoring instructions according to the monitoring parameters of different areas. The system sends working instructions to the video monitoring devices in each area at a preset frequency. The instructions include the acquisition duration and image resolution. When abnormal weather occurs, the system automatically adjusts the sending frequency of the monitoring instructions. For example, when strong wind weather is detected, the working mode of the monitoring device is switched to continuous acquisition mode to track the change of the icing state in real time.

[0076] S440. Obtain the real-time icing state data of each area, compare the real-time icing state data with the preset icing warning threshold to obtain the icing risk level. When the icing risk level exceeds the preset level, increase the monitoring frequency of the corresponding area.

[0077] In this embodiment, the real-time icing state data refers to the icing monitoring result at the current moment, and the icing risk level refers to the degree of danger evaluated according to the icing state.

[0078] Specifically, establish an icing risk assessment standard table to establish a corresponding relationship between indicators such as icing thickness and scope and risk levels. The system receives icing status data of each region in real time and compares it with the preset warning thresholds. When the icing parameters of a certain region exceed the threshold, the monitoring level of that region is automatically upgraded.

[0079] S450. Update the monitoring rule information according to the increased monitoring frequency.

[0080] In this embodiment, updating the monitoring rule information refers to the process of dynamically adjusting the original monitoring strategy according to the real-time monitoring results.

[0081] Specifically, design a monitoring rule update mechanism to automatically adjust monitoring parameters based on changes in risk levels. The system records the time and reasons for rule adjustments to form a rule evolution history database. When the risk level decreases and remains stable for a certain period, gradually restore the original monitoring frequency.

[0082] In one embodiment, referring to Figure 5 , in step S410, obtain meteorological information and historical icing data, and obtain monitoring rule information according to the meteorological information and historical icing data, which specifically includes the following steps: S411. Extract temperature, humidity, and wind speed data during the icing-prone period from the meteorological information.

[0083] In this embodiment, the icing-prone period refers to the high-occurrence time period of icing events statistically obtained from historical data, and the meteorological data refers to the environmental parameter indicators collected by weather monitoring stations.

[0084] Specifically, this application establishes an icing meteorological condition feature table, divides 24 hours of a day into multiple time periods, and statistically analyzes the variation laws of meteorological parameters in each period. Set the screening conditions for meteorological parameters. When the temperature is lower than 2°C, the relative humidity is greater than 80%, and the wind speed is greater than 3 m / s, mark this period as a key monitoring period. For example, during the period from 2 am to 8 am, when the temperature drops to -5°C, the relative humidity reaches 90%, and the wind speed is 5 m / s, the system automatically extracts the meteorological data of this period for subsequent analysis. By establishing a time period - meteorological parameter correspondence table, accurate identification of the icing-prone environment is achieved.

[0085] S412. Determine the monitoring frequency and icing warning threshold according to the temperature, humidity, wind speed data, and historical icing data.

[0086] In this embodiment, the monitoring frequency refers to the time interval for performing icing status detection, and the icing warning threshold refers to the critical value of the icing parameter that triggers an alarm.

[0087] Specifically, design a meteorological condition - monitoring strategy mapping table to establish an association between different combinations of meteorological conditions and the monitoring frequency and warning threshold.

[0088] S413. Associate the monitoring frequency with the icing warning threshold to obtain monitoring rule information.

[0089] In this embodiment, the monitoring rule information refers to a complete monitoring plan including the monitoring frequency and the warning threshold, which is used to guide the implementation of icing monitoring work.

[0090] Specifically, construct a hierarchical monitoring rule library, and configure the monitoring frequency and the warning threshold according to the icing risk level. Automatically match the corresponding monitoring rules according to the real-time meteorological conditions, and record the time when the rules are enabled and the triggering conditions.

[0091] In one embodiment, referring to Figure 6 , in step S412, according to the temperature, humidity, wind speed data and historical icing data, determine the monitoring frequency and the icing warning threshold, which specifically includes the following steps: S4121. Based on the historical icing data, obtain the monitoring reference frequency and the reference warning threshold.

[0092] In this embodiment, the monitoring reference frequency refers to the time interval for performing icing monitoring under standard environmental conditions, and the reference warning threshold refers to the reference value of the icing parameter for triggering a warning under standard conditions.

[0093] Specifically, construct a historical icing data analysis table, and record the occurrence frequency, development speed and final thickness of icing events in the past 3 years. Using the statistical average method, classify the icing events according to seasons and regions, and extract the typical monitoring parameters for each category.

[0094] S4122. Adjust the monitoring reference frequency according to the temperature, humidity, wind speed data to obtain the monitoring frequency.

[0095] In this embodiment, the monitoring frequency adjustment refers to the process of dynamically correcting the reference frequency according to the real-time meteorological conditions to meet the monitoring requirements under different weather conditions.

[0096] Specifically, design a meteorological parameter - frequency adjustment rule table to establish a corresponding relationship between the changes in temperature, humidity, wind speed and the adjustment of the monitoring frequency. According to the combined effect of multiple meteorological elements, use the weighted calculation method to determine the final monitoring frequency.

[0097] S4123. Adjust the reference warning threshold according to the temperature, humidity, wind speed data to obtain the icing warning threshold.

[0098] In this embodiment, the warning threshold adjustment refers to the process of correcting the reference warning threshold based on the changes in meteorological conditions, which is used to improve the accuracy and timeliness of the warning.

[0099] Specifically, a meteorological condition - threshold adjustment comparison table is established to associate different combinations of meteorological elements with the adjustment coefficients of warning thresholds. A threshold adjustment calculation formula is designed: the corrected threshold = the reference threshold × (1 - temperature adjustment coefficient) × (1 - humidity adjustment coefficient) × (1 - wind speed adjustment coefficient).

[0100] In one embodiment, referring to Figure 7 , in step S430, according to the monitoring parameters, a video monitoring instruction for the corresponding area is triggered, which specifically includes the following steps: S431. According to the monitoring parameters, obtain the current monitoring frequency of each area.

[0101] In this embodiment, the current monitoring frequency refers to the icing detection time interval being executed in each area, and this frequency changes dynamically according to the area characteristics and environmental conditions.

[0102] Specifically, a regional monitoring frequency management table is established to record the reference monitoring frequency and real - time adjustment coefficients of each area. A sub - area management strategy is adopted, and the transmission line is divided into multiple monitoring units, and each unit sets independent monitoring parameters according to its geographical characteristics.

[0103] S432. Based on the icing monitoring results and geographical location information of each area, generate regional monitoring status data.

[0104] In this embodiment, the regional monitoring status data refers to the comprehensive information reflecting the icing conditions and environmental characteristics of each monitoring area, including icing parameters, geographical location, and environmental conditions.

[0105] Specifically, a regional status information collection form is designed to associate and integrate the icing monitoring results with the geographical location information. A monitoring data classification storage mechanism is established, and the data is organized according to the structure of "area - time - parameter". The system automatically records the icing thickness, range, and position coordinates of each monitoring point, and at the same time associates the terrain characteristics and meteorological conditions of the area to generate a monitoring record containing complete status information.

[0106] S433. Combine the regional monitoring status data and the monitoring rule information to calculate the monitoring frequency adjustment value of each area.

[0107] In this embodiment, the monitoring frequency adjustment value refers to the value for correcting the monitoring frequency according to the change of the regional status, which is used to optimize the monitoring resource allocation.

[0108] Specifically, a frequency adjustment calculation rule table is constructed to establish a mapping relationship between the regional monitoring status and the frequency adjustment coefficient. It is comprehensively determined based on the icing growth rate (the growth amount per hour), the icing range (the proportion of the line length), and the geographical location weight (altitude coefficient).

[0109] S434. Update the video monitoring instructions for each area according to the monitoring frequency adjustment value.

[0110] In this embodiment, the update of the video monitoring instruction means modifying the working parameters of the monitoring device according to the frequency adjustment value, including the acquisition interval and the image resolution.

[0111] Specifically, establish a monitoring instruction generation rule library, convert the frequency adjustment value into specific device control instructions. Set a hierarchical instruction template, and automatically generate corresponding device working instructions according to the adjusted monitoring frequency. The system sends update instructions to the monitoring devices in each area through the remote control interface, and records the instruction execution status at the same time. By updating the monitoring instructions in a timely manner, ensure that the monitoring effect matches the icing risk level.

[0112] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0113] In a second aspect, the present application provides a monitoring system for warning the icing state of the power grid. The monitoring system for warning the icing state of the power grid in the present application will be described below in combination with the above-mentioned method for monitoring the icing state of the power grid.

[0114] Refer to Figure 8 , a monitoring system for warning the icing state of the power grid, including: A power grid topology pipeline schematic diagram acquisition module, configured to obtain the map coordinate position information of the transmission line based on the power grid construction, and obtain the power grid topology pipeline schematic diagram; A module for obtaining video data to be processed, configured to collect video information through a camera installed on the transmission line according to the power grid topology pipeline schematic diagram, and obtain the video data to be processed; A module for obtaining the range of the area to be monitored, configured to set an electronic fence based on the power grid topology pipeline schematic diagram, determine the area coordinate information for monitoring the icing state, and obtain the range of the area to be monitored; An icing state data acquisition module, configured to perform icing state recognition according to the video data to be processed and the range of the area to be monitored, and obtain the icing state data; An icing monitoring result acquisition module, configured to transmit the data to the distribution transformer room server through the transmission line carrier based on the icing state data, and obtain the processed icing monitoring result; A warning information push module, configured to upload the data to the power operation and maintenance system according to the icing monitoring result, calculate the warning level, and push the warning information.

[0115] In an embodiment, the present application provides an electronic device, which may be a server, and its internal structure diagram may be as Figure 9As shown. The electronic device includes a processor, a memory, and a network interface connected via a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it implements a method for monitoring the icing state warning of the power grid.

[0116] Those skilled in the art can understand that Figure 9 the structure shown in is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the electronic device to which the solution of this application is applied. The specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0117] In one embodiment, an electronic device is further provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the steps in the above method embodiments are implemented.

[0118] Those of ordinary skill in the art can understand that all or part of the processes of implementing the above method embodiments can be completed by instructing relevant hardware through a computer program. The above computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above method embodiments. Among them, any reference to the memory, storage, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0119] The above are all the preferred embodiments of this application. The protection scope of this application is not limited accordingly. Therefore, all equivalent changes made according to the structure, shape, and principle of this application should be covered within the protection scope of this application.

Claims

1. A method for monitoring the icing state of a power grid and giving early warnings, characterized in that, The method includes the following steps: Based on the power grid construction, obtain the map coordinate position information of the transmission line to get a schematic diagram of the power grid topology pipeline; According to the schematic diagram of the power grid topology pipeline, collect video information through cameras installed on the transmission line to obtain video data to be processed; Based on the schematic diagram of the power grid topology pipeline, set up an electronic fence to determine the area coordinate information for monitoring the icing state, and obtain the range of the area to be monitored; Identify the icing state according to the video data to be processed and the range of the area to be monitored to obtain icing state data; Based on the icing state data, transmit the data to the distribution transformer room server through the power line carrier of the transmission line to obtain the processed icing monitoring result; According to the icing monitoring result, upload the data to the power operation and maintenance system, calculate the warning level, and push warning information; 2. The monitoring power grid icing state warning method according to claim 1, wherein, Identify the icing state to obtain icing state data, which specifically includes the following steps: Use the generalized vector space transformation to filter and enhance the input video image to obtain an initial image feature matrix; According to the initial image feature matrix, calculate the semantic feature vector of the image through vector convolution operation and neural grid mapping; Based on the semantic feature vector, perform feature transformation using a signal step function to generate the structural feature data of the image; According to the structural feature data, perform vector convolution operation in a preset coordinate system and output the icing state determination result; 3. The monitoring grid icing state warning method according to claim 1, characterized in that Calculate the warning level and push warning information, which specifically includes the following steps: Based on the warning level, transmit the icing warning information to the power grid operation and maintenance system to obtain detailed warning information; According to the detailed warning information and the map coordinate position information of the transmission line, obtain the target push information; Based on the target push information, push the warning information to the relevant responsible persons; 4. The method for monitoring the icing state of a power grid and giving early warnings according to claim 1, wherein The method further includes the following steps: Obtain meteorological information and historical icing data, and according to the meteorological information and historical icing data, obtain monitoring rule information, where the meteorological information includes temperature, humidity, and wind speed, and the monitoring rule information includes monitoring frequency and icing warning threshold; Obtain the transmission line distribution area information, and according to the area information and the monitoring rule information, determine the monitoring parameters of each area, where the monitoring parameters include icing monitoring frequency and warning threshold under different altitude and different terrain conditions; According to the monitoring parameters, trigger the video monitoring instruction for the corresponding area; Obtain the real-time icing state data of each area, compare the real-time icing state data with the preset icing warning threshold to obtain the icing risk level, and when the icing risk level exceeds the preset level, increase the monitoring frequency of the corresponding area; Update the monitoring rule information according to the increased monitoring frequency; 5. The method for monitoring the icing state of a power grid and giving early warnings according to claim 4, characterized in that, Obtain meteorological information and historical icing data, and according to the meteorological information and historical icing data, obtain monitoring rule information, which specifically includes the following steps: Extract the temperature, humidity, and wind speed data of the icing-prone period from the meteorological information; According to the temperature, humidity, wind speed data and the historical icing data, determine the monitoring frequency and icing warning threshold; Associate the monitoring frequency with the icing warning threshold to obtain the monitoring rule information.

6. The method for monitoring and warning the icing state of a power grid according to claim 5, characterized in that, Determine the monitoring frequency and the icing warning threshold based on the temperature, humidity, wind speed data, and the historical icing data. The specific steps are as follows: Based on the historical icing data, obtain the monitoring reference frequency and the reference warning threshold. Adjust the monitoring reference frequency according to the temperature, humidity, and wind speed data to obtain the monitoring frequency. Adjust the reference warning threshold according to the temperature, humidity, and wind speed data to obtain the icing warning threshold.

7. The method for monitoring and warning the icing state of a power grid according to claim 4, wherein Trigger the video monitoring instruction for the corresponding area according to the monitoring parameters. The specific steps are as follows: Obtain the current monitoring frequency of each area according to the monitoring parameters. Generate the area monitoring status data based on the icing monitoring results and the geographical location information of each area. Calculate the monitoring frequency adjustment value for each area by combining the area monitoring status data and the monitoring rule information. Update the video monitoring instruction for each area according to the monitoring frequency adjustment value.

8. An early warning system for monitoring the icing state of a power grid, characterized in that, Include: A power grid topology pipeline schematic diagram acquisition module, which is used to obtain the map coordinate position information of the transmission line based on the power grid construction to obtain the power grid topology pipeline schematic diagram. A to-be-processed video data acquisition module, which is used to collect video information through cameras installed on the transmission line according to the power grid topology pipeline schematic diagram to obtain the to-be-processed video data. A to-be-monitored area range acquisition module, which is used to set an electronic fence based on the power grid topology pipeline schematic diagram to determine the area coordinate information for monitoring the icing status and obtain the to-be-monitored area range. An icing status data acquisition module, which is used to identify the icing status according to the to-be-processed video data and the to-be-monitored area range to obtain the icing status data. An icing monitoring result acquisition module, which is used to transmit the data to the distribution transformer room server through the power line carrier based on the icing status data to obtain the processed icing monitoring result. An early warning information push module, which is used to upload the data to the power operation and maintenance system according to the icing monitoring result, calculate the early warning level, and push the early warning information.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method for monitoring the icing status warning of the power grid according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for monitoring the icing status warning of the power grid according to any one of claims 1-7.

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