Panoramic monitoring method for power transmission and transformation equipment

Abstract

The invention discloses a panoramic monitoring method for power transmission and transformation equipment, and belongs to the field of power system automation. A panoramic monitoring method for power transmission and transformation equipment comprises the following steps: S1, performing digital modeling of monitoring information on primary and secondary equipment in a power system, including equipment state, performance parameters and environmental factors; s2, carrying out graphical representation on the equipment state by utilizing the digital information model, and carrying out interactive operation through a user interface; s3, establishing information association between the devices, forming a comprehensive monitoring network of the power grid, and optimizing the accuracy of association between the devices by using a machine learning algorithm; s4, updating and displaying the monitoring state of the power grid in real time, including a geographical wiring diagram and an equipment state diagram, and identifying an abnormal mode through a data mining technology; and S5, utilizing a predictive maintenance algorithm to predict potential faults and recommend a maintenance plan according to the equipment state.

Description

Technical Field

[0001] The present invention relates to the field of power system automation, and more specifically to a method for panoramic monitoring of power transmission and transformation equipment. Background Art

[0002] With the increasing development of power systems and the continuous expansion of power grid scale, power system monitoring has become more and more complex. Traditional power system monitoring methods mainly rely on decentralized monitoring points and manual intervention, which leads to information islands and makes it difficult for monitoring personnel to obtain a comprehensive view of the power grid status.

[0003] Existing monitoring systems often lack sufficient intelligent processing capabilities and are unable to effectively identify abnormal patterns or predict potential failures from large amounts of monitoring data. This results in monitoring personnel having to manually analyze large amounts of data, increasing their workload and potentially missing important abnormal signals due to human factors.

[0004] Therefore, it is necessary to develop a new power system monitoring method to solve the above problems and improve the reliability and safety of the power system. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] The purpose of the present invention is to provide a panoramic monitoring method for power transmission and transformation equipment to solve the problems raised in the above background technology.

[0007] 2. Technical solution

[0008] The present invention is achieved through the following technical solutions:

[0009] A panoramic monitoring method for power transmission and transformation equipment comprises the following steps:

[0010] S1. Digital modeling of monitoring information for primary and secondary equipment in the power system, including equipment status, performance parameters and environmental factors;

[0011] S2, graphically represent the equipment status using digital information models and perform interactive operations through user interfaces;

[0012] S3. Establish information associations between devices to form a comprehensive monitoring network for the power grid, and use machine learning algorithms to optimize the accuracy of associations between devices;

[0013] S4, real-time update and display of the monitoring status of the power grid, including geographic wiring diagrams and equipment status diagrams, and identification of abnormal patterns through data mining technology;

[0014] S5. Use predictive maintenance algorithms to predict potential failures and recommend maintenance plans based on equipment status.

[0015] As an optional solution of the technical solution of this application document, step S1 further includes:

[0016] S101, collecting real-time operation data of a primary device and transmitting it to a central processing unit via a wireless sensor network;

[0017] S102, collecting real-time operating data of secondary equipment and transmitting it to the central processing unit through a wired communication interface;

[0018] S103, pre-process the collected data using edge computing technology to reduce data transmission delay. As an optional solution of the technical solution of this application document, in step S2, the graphical representation includes:

[0019] S201. Use virtual reality technology to provide an immersive monitoring experience, allowing users to patrol the power grid in a virtual environment;

[0020] S202: dynamically adjust the color or shape of the graphical representation according to the credibility calculation model of the information, and overlay and display it in the real world through augmented reality technology.

[0021] As an optional solution of the technical solution of this application document, step S3 includes:

[0022] S301. Use blockchain technology to ensure the security and immutability of monitoring information;

[0023] S302: Automatically execute the verification and processing flow of monitoring information through smart contracts.

[0024] As an optional solution of the technical solution of this application document, step S4 includes:

[0025] S401, displaying the sum of the credibility of the line monitoring information on the geographical wiring diagram, and using the heat map technology to display the hot spots of the power grid;

[0026] S402, marking the monitoring information of the equipment on the equipment status diagram, and monitoring the equipment status in real time through the Internet of Things technology;

[0027] S403. The marked points are displayed in colors according to the severity of the information, and the information is classified and prioritized using an artificial intelligence algorithm.

[0028] As an optional solution of the technical solution of this application document, step S5 includes:

[0029] S501. Analyze historical monitoring data using big data analysis technology to predict equipment failure and performance degradation;

[0030] S502. Automatically generate maintenance work orders based on the prediction results and optimize the allocation of maintenance resources.

[0031] As an optional solution to the technical solution of this application document, an expert system is integrated to provide fault diagnosis and processing suggestions, and interact with users through natural language processing technology; deep learning technology is used to continuously optimize the accuracy of fault diagnosis and the effectiveness of processing suggestions.

[0032] 3. Beneficial effects

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] Through digital modeling and graphical representation, a comprehensive grid monitoring perspective is provided, allowing monitoring personnel to understand the operating status of the grid from macro to micro perspectives; the use of wireless sensor networks and edge computing technologies reduces data transmission delays and improves the response speed to grid events; the application of machine learning algorithms optimizes the information association between devices, improving the accuracy and efficiency of the monitoring network; through data mining technology, abnormal patterns in the grid can be identified and potential problems can be warned in advance. DETAILED DESCRIPTION

[0035] The present invention provides a method for panoramic monitoring of power transmission and transformation equipment, comprising the following steps:

[0036] S1. Digital modeling of monitoring information for primary and secondary equipment in the power system, including equipment status, performance parameters and environmental factors;

[0037] S2, graphically represent the equipment status using digital information models and perform interactive operations through user interfaces;

[0038] S3. Establish information associations between devices to form a comprehensive monitoring network for the power grid, and use machine learning algorithms to optimize the accuracy of associations between devices;

[0039] S4, real-time update and display of the monitoring status of the power grid, including geographic wiring diagrams and equipment status diagrams, and identification of abnormal patterns through data mining technology;

[0040] S5. Use predictive maintenance algorithms to predict potential failures and recommend maintenance plans based on equipment status.

[0041] Step S1 further comprises:

[0042] S101, collecting real-time operation data of a primary device and transmitting it to a central processing unit via a wireless sensor network;

[0043] S102, collecting real-time operating data of secondary equipment and transmitting it to the central processing unit through a wired communication interface;

[0044] S103. Use edge computing technology to pre-process the collected data to reduce data transmission delay.

[0045] In step S2, the graphical representation includes:

[0046] S201. Use virtual reality technology to provide an immersive monitoring experience, allowing users to patrol the power grid in a virtual environment;

[0047] S202: dynamically adjust the color or shape of the graphical representation according to the credibility calculation model of the information, and overlay and display it in the real world through augmented reality technology.

[0048] Step S3 includes:

[0049] S301. Use blockchain technology to ensure the security and immutability of monitoring information;

[0050] S302: Automatically execute the verification and processing flow of monitoring information through smart contracts.

[0051] Step S4 includes:

[0052] S401, displaying the sum of the credibility of the line monitoring information on the geographical wiring diagram, and using the heat map technology to display the hot spots of the power grid;

[0053] S402, marking the monitoring information of the equipment on the equipment status diagram, and monitoring the equipment status in real time through the Internet of Things technology;

[0054] S403. The marked points are displayed in colors according to the severity of the information, and the information is classified and prioritized using an artificial intelligence algorithm.

[0055] Step S5 includes:

[0056] S501. Analyze historical monitoring data using big data analysis technology to predict equipment failure and performance degradation;

[0057] S502. Automatically generate maintenance work orders based on the prediction results and optimize the allocation of maintenance resources.

[0058] The present invention also includes: integrating an expert system to provide fault diagnosis and processing suggestions, and interacting with users through natural language processing technology; using deep learning technology to continuously optimize the accuracy of fault diagnosis and the effectiveness of processing suggestions.

Claims

1. A panoramic monitoring method for power transmission and transformation equipment, characterized in that: The following steps are involved: S1. Digital modeling of monitoring information for primary and secondary equipment in the power system, including equipment status, performance parameters and environmental factors; S2, graphically represent the equipment status using digital information models and perform interactive operations through user interfaces; S3. Establish information associations between devices to form a comprehensive monitoring network for the power grid, and use machine learning algorithms to optimize the accuracy of associations between devices; S4, real-time update and display of the monitoring status of the power grid, including geographic wiring diagrams and equipment status diagrams, and identification of abnormal patterns through data mining technology; S5. Use predictive maintenance algorithms to predict potential failures and recommend maintenance plans based on equipment status.

2. A method for panoramic monitoring of power transmission and transformation equipment according to claim 1, characterized in that: Step S1 further comprises: S101, collecting real-time operation data of a primary device and transmitting it to a central processing unit via a wireless sensor network; S102, collecting real-time operating data of secondary equipment and transmitting it to the central processing unit through a wired communication interface; S103. Use edge computing technology to pre-process the collected data to reduce data transmission delay.

3. A method for panoramic monitoring of power transmission and transformation equipment according to claim 1, characterized in that: In step S2, the graphical representation includes: S201. Use virtual reality technology to provide an immersive monitoring experience, allowing users to patrol the power grid in a virtual environment; S202. Dynamically adjust the color or shape of the graphical representation according to the credibility calculation model of the information, and overlay and display it in the real world through augmented reality technology.

4. A panoramic monitoring method for power transmission and transformation equipment according to claim 1, characterized in that: Step S3 includes: S301. Use blockchain technology to ensure the security and immutability of monitoring information; S302: Automatically execute the verification and processing flow of monitoring information through smart contracts.

5. A method for panoramic monitoring of power transmission and transformation equipment according to claim 1, characterized in that: Step S4 includes: S401, displaying the sum of the credibility of the line monitoring information on the geographical wiring diagram, and using the heat map technology to display the hot spots of the power grid; S402, marking the monitoring information of the equipment on the equipment status diagram, and monitoring the equipment status in real time through the Internet of Things technology; S403. The marked points are displayed in colors according to the severity of the information, and the information is classified and prioritized using an artificial intelligence algorithm.

6. A method for panoramic monitoring of power transmission and transformation equipment according to claim 1, characterized in that: Step S5 includes: S501. Analyze historical monitoring data using big data analysis technology to predict equipment failure and performance degradation; S502. Automatically generate maintenance work orders based on the prediction results and optimize the allocation of maintenance resources.

7. A method for panoramic monitoring of power transmission and transformation equipment according to claim 1, characterized in that: Also includes: Integrated expert system to provide fault diagnosis and processing suggestions, and interact with users through natural language processing technology; Utilize deep learning technology to continuously optimize the accuracy of fault diagnosis and the effectiveness of treatment suggestions.