A switch cabinet intelligent operation and maintenance system based on multi-source data and edge computing
By integrating multi-source data acquisition units and edge computing technology, the problems of low efficiency and insufficient fault diagnosis in traditional switchgear operation and maintenance have been solved, enabling real-time monitoring and intelligent early warning, and improving the operational reliability and monitoring accuracy of switchgear equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- GUANGZHOU BAIYUN ELECTRIC EQUIP
- Filing Date
- 2025-06-25
- Publication Date
- 2026-06-16
AI Technical Summary
Traditional switchgear maintenance relies on manual inspections, which is inefficient, makes it difficult to detect hidden faults in a timely manner, and lacks multi-dimensional data support, failing to meet the needs of remote monitoring and real-time data, resulting in insufficient fault diagnosis and early warning capabilities.
Employing multi-source data acquisition units and edge computing technology, it integrates optical encoders, temperature and humidity sensors, current and voltage transformers, partial discharge sensors, and high-definition cameras. Combined with an edge calculator, it performs data processing and intelligent analysis to achieve real-time monitoring and fault early warning.
It enables real-time, multi-dimensional data acquisition from switchgear equipment, reduces transmission delay, improves fault early warning timeliness and monitoring accuracy, reduces operation and maintenance costs, and enhances the operational reliability and intelligence level of the power system.
Smart Images
Figure CN224367584U_ABST
Abstract
Description
Technical Field
[0001] This utility model belongs to the field of online monitoring, fault diagnosis, early warning, and operation and maintenance technology of switchgear, specifically involving an intelligent operation and maintenance system for switchgear based on multi-source data and edge computing. Background Technology
[0002] Switchgear, as a crucial component of the power system, directly impacts the security of power supply. Traditional switchgear maintenance relies primarily on manual inspections, with maintenance personnel periodically checking equipment status. This approach suffers from oversights and inefficiencies, particularly in its difficulty in promptly identifying hidden faults. Manual inspections are inefficient, unable to monitor all equipment parameters in real time, and lack comprehensive data support. Existing monitoring systems often rely on single data acquisition methods, lacking comprehensive analysis of multi-dimensional data such as environmental and mechanical performance data, resulting in insufficient fault diagnosis and early warning capabilities. Furthermore, traditional maintenance methods cannot meet the demands of large-scale power systems for remote monitoring and real-time data, leading to management difficulties and delayed decision-making. Utility Model Content
[0003] The purpose of this invention is to provide an intelligent operation and maintenance system for switchgear based on multi-source data and edge computing, which can improve the reliability of power system operation and reduce operation and maintenance costs.
[0004] The objective of this utility model is achieved through the following technical measures: a smart operation and maintenance system for switchgear based on multi-source data and edge computing, characterized in that it includes a data acquisition unit, a smart switchgear monitoring and control terminal, a centralized display terminal, a local display terminal, an edge calculator, and a cloud platform. The edge calculator is connected to the cloud platform, the centralized display terminal, and the smart switchgear monitoring and control terminal. The smart switchgear monitoring and control terminal is connected to the local display terminal and the data acquisition unit. The data acquisition unit uses an optical encoder, a temperature and humidity sensor, a current and voltage transformer, a partial discharge sensor, and a high-definition camera, and also integrates an expansion interface for connecting external sensors.
[0005] This invention achieves a comprehensive upgrade of the power equipment monitoring system by integrating multi-source sensors and expansion interfaces, combined with edge computing technology. It can collect multi-dimensional data in real time, including equipment operating status, environmental parameters, circuit breaker travel, voltage and current, video footage, and partial discharge data. Localized data processing significantly reduces transmission latency and improves the timeliness of fault early warning. Simultaneously, the introduction of edge computing effectively alleviates cloud pressure and enhances data processing efficiency. The modular design supports flexible expansion of the sensor network to meet diverse monitoring scenario needs. This innovative architecture not only significantly improves the monitoring accuracy and intelligence level of key equipment such as switchgear, circuit breakers, and transformers, but also reduces operation and maintenance costs and improves the reliability of power system operation through online maintenance and accurate health assessment, demonstrating outstanding real-time monitoring capabilities and market application value.
[0006] The edge calculator of this invention has a built-in fault model expert library, which is constructed using AI-integrated industrial mechanism algorithms. The edge calculator completes mechanical characteristic analysis, electrical life prediction, health status assessment, operation and maintenance suggestions, and fault early warning.
[0007] The intelligent monitoring and control terminal and data acquisition unit of the switch cabinet described in this utility model are connected by wired or wireless means.
[0008] The present invention describes multiple intelligent control terminals for switchgear that communicate sequentially via a network. Each intelligent control terminal for switchgear is connected to the local display terminal. The terminal intelligent control terminal for switchgear at the end is connected to the edge calculator and the data acquisition unit, and collects the data of each switchgear through the network to the edge calculator for intelligent diagnosis and analysis.
[0009] The intelligent operation and maintenance system for switchgear described in this utility model is connected to other monitoring platforms for data exchange, enabling information sharing and collaborative management.
[0010] Compared with the prior art, the present invention has the following significant advantages:
[0011] (1) This utility model achieves a comprehensive upgrade of the power equipment monitoring system by integrating multi-source sensors and expansion interfaces, combined with edge computing technology. This utility model can collect multi-dimensional data in real time, including equipment operating status, environmental parameters, circuit breaker travel, voltage and current, video footage, and partial discharge data. Relying on localized data processing, it significantly reduces transmission latency and improves the timeliness of fault early warning. Simultaneously, the introduction of edge computing effectively alleviates cloud pressure and enhances data processing efficiency. Combined with a modular design, it supports flexible expansion of the sensor network to meet diverse monitoring scenario needs. The innovative architecture of this utility model not only significantly improves the monitoring accuracy and intelligence level of key equipment such as switchgear, circuit breakers, and transformers, but also reduces operation and maintenance costs and improves the reliability of power system operation through online maintenance and accurate health assessment, demonstrating outstanding real-time monitoring capabilities and market application value.
[0012] (2) This utility model integrates multiple sensors and applies edge computing technology to achieve real-time monitoring, fault diagnosis and predictive maintenance of switchgear equipment.
[0013] (3) This utility model adopts multi-source data acquisition technology to monitor key indicators such as main circuit electrical parameters, circuit breaker travel, motor current, key point temperature, ambient temperature and humidity, partial discharge, and video monitoring in real time. It also uses intelligent analysis technology for fault prediction, equipment health management, and operation and maintenance decision-making. This utility model can significantly improve the operational reliability of switchgear, extend equipment life, and optimize operation and maintenance processes, thereby achieving intelligent predictive operation and maintenance. Attached Figure Description
[0014] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.
[0015] Figure 1 This is a schematic diagram of the composition structure of this utility model;
[0016] Figure 2 This is the wiring diagram for this utility model. Detailed Implementation
[0017] like Figure 1 and Figure 2The diagram illustrates an intelligent operation and maintenance system for switchgear based on multi-source data and edge computing. Specifically, it is an online monitoring, fault diagnosis, early warning, and intelligent operation and maintenance system for switchgear based on multi-source data and edge computing. It includes a data acquisition unit, an intelligent control terminal for switchgear, a centralized display terminal, a local display terminal, an edge calculator, and a cloud platform. The edge calculator is connected to the cloud platform, the centralized display terminal, and the intelligent control terminal for switchgear. The intelligent control terminal for switchgear is connected to the local display terminal and the data acquisition unit. The data acquisition unit employs an optical encoder, a temperature and humidity sensor, a current and voltage transformer, a partial discharge sensor, and a high-definition camera. It also integrates an expansion interface for connecting external sensors, supporting the connection of additional sensor devices to meet the monitoring needs of different types of equipment. The functions of each component of this utility model are as follows:
[0018] The data acquisition unit collects the equipment's operating status, ambient temperature and humidity, voltage and current, circuit breaker travel (collected using an optical encoder) in real time. Each sensor transmits the collected data to the switchgear intelligent monitoring and control terminal via wired or wireless means.
[0019] The intelligent monitoring and control terminal is used to perform preliminary processing and storage of the collected raw data and analyze the operating status of the equipment.
[0020] The edge calculator uses existing edge computing algorithms to process and analyze data in real time, including fault diagnosis and trend prediction. It provides fault warnings and maintenance suggestions, and uploads the results to the cloud platform to support remote monitoring and fault diagnosis.
[0021] Centralized and local display terminals show real-time data and status information, analysis results, and maintenance suggestions of the equipment, and interact with users through touch screens.
[0022] The cloud platform is used for data storage and remote access, supports centralized management of multiple devices, and provides advanced data analysis functions.
[0023] This utility model's intelligent operation and maintenance system for switchgear connects with other monitoring platforms to exchange data, enabling information sharing and collaborative management.
[0024] The switchgear intelligent monitoring and control terminal consists of multiple units that communicate sequentially via a network. Each switchgear intelligent monitoring and control terminal is connected to a local display terminal. The terminal switchgear intelligent monitoring and control terminal at the end is connected to an edge calculator and a data acquisition unit. The collected data is aggregated to the edge calculator via the network for intelligent diagnosis and analysis.
[0025] This invention utilizes various intelligent components, including optical encoders, wireless temperature sensors, Hall effect sensors, high-definition cameras, and partial discharge sensors, to perform multi-dimensional data acquisition and control via a terminal device. The edge calculator interacts with the terminal device, employing AI-integrated industrial mechanism algorithms (existing algorithms) to build a fault model expert database. This enables a series of intelligent functions such as mechanical characteristic analysis, electrical life prediction, health status assessment, maintenance and repair suggestions, and fault warnings. A local touchscreen display allows users to conveniently view real-time data / video, set parameters, and access historical waveforms. More advanced applications can include cloud platform data maintenance functions. The terminal devices communicate via a network, ultimately aggregating data to the edge computing device for intelligent diagnosis and analysis.
[0026] The embodiments of this utility model are not limited thereto. Based on the above content of this utility model, and in accordance with the common technical knowledge and conventional means in the field, without departing from the basic technical idea of this utility model, this utility model can also be modified, replaced or changed in various other forms, all of which fall within the scope of protection of this utility model.
Claims
1. A smart operation and maintenance system for switchgear based on multi-source data and edge computing, characterized in that: It includes a data acquisition unit, a switchgear intelligent monitoring and control terminal, a centralized display terminal, a local display terminal, an edge calculator, and a cloud platform. The edge calculator is connected to the cloud platform, the centralized display terminal, and the switchgear intelligent monitoring and control terminal. The switchgear intelligent monitoring and control terminal is connected to the local display terminal and the data acquisition unit. The data acquisition unit uses an optical encoder, a temperature and humidity sensor, a current and voltage transformer, a partial discharge sensor, and a high-definition camera, and also integrates an expansion interface for connecting external sensors.
2. The intelligent operation and maintenance system for switchgear according to claim 1, characterized in that: The edge calculator has a built-in fault model expert library, which is constructed using AI-integrated industrial mechanism algorithms. The edge calculator can perform mechanical characteristic analysis, electrical life prediction, health status assessment, operation and maintenance suggestions, and fault warning.
3. The intelligent operation and maintenance system for switchgear according to claim 2, characterized in that: The intelligent monitoring and control terminal and the data acquisition unit of the switchgear are connected by wired or wireless means.
4. The intelligent operation and maintenance system for switchgear according to claim 3, characterized in that: The intelligent monitoring and control terminals for the switchgear consist of multiple terminals that communicate sequentially via a network. Each intelligent monitoring and control terminal for the switchgear is connected to the local display terminal. The terminal at the end of the switchgear is connected to the edge calculator and the data acquisition unit, and the data from each switchgear is collected by the network to the edge calculator for intelligent diagnosis and analysis.
5. The intelligent operation and maintenance system for switchgear according to claim 4, characterized in that: The intelligent operation and maintenance system for the switchgear is connected to other monitoring platforms to exchange data, enabling information sharing and collaborative management.