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Land Transport

Intelligent Inspection System for Converter Station (Substation)

 

Solution Background

With the rapid development of the power industry, substations, as key hubs for power transmission and distribution, are continuously increasing in scale and number. Traditional manual inspection methods suffer from low efficiency, high rates of missed and erroneous inspections, and significant susceptibility to environmental factors, making it difficult to meet the reliability and safety requirements of modern power grids. Furthermore, the cost of manual inspections is rising year by year, and inspectors face significant personal safety risks when dealing with harsh environments such as high voltage, high temperature, and toxic conditions. At the same time, national policy initiatives for the intelligent and digital transformation of power systems are promoting the development of intelligent substation inspections. Against this backdrop, smart substation inspection systems have emerged, aiming to improve inspection efficiency and quality through advanced technology and ensure the stable operation of the power grid.

Solution Introduction

Solution Overview

The communication method of the smart inspection system platform uses optical fiber communication. Image information, vibration information, sound information, temperature information, and other data collected by the front-end are transmitted to the server side. The server side is equipped with a monitoring platform that has intelligent recognition and analysis functions, which can provide real-time video information, noise information, and temperature information for key areas to O&M personnel, as well as provide early warning functions and intelligent decision-making services.

The platform can intelligently analyze equipment operation data obtained from the data acquisition system and provide an automatic alarm function. When an abnormal equipment operating parameter is detected, an alarm signal is automatically sent out. Equipment management personnel can quickly locate the alarming equipment by clicking on the alarm information, and at the same time, quickly retrieve information such as relevant operation and maintenance manuals, historical faults, and processing methods for the equipment, facilitating equipment management personnel to review and determine the alarm fault point.

Applicable Scenarios

  • Conventional Substations: Applicable to conventional substations of various voltage levels, for daily inspection and status monitoring of equipment such as transformers, circuit breakers, disconnectors, and instrument transformers within the station.
  • Unattended Substations: Can effectively solve the inspection challenges of unattended substations, achieving 24/7 uninterrupted automatic inspections, ensuring the safe and stable operation of substations.
  • Substations in Complex Environments: In substations located in geographically complex areas such as mountains, plateaus, and deserts, where manual inspection is difficult, the smart inspection system can fully leverage its advantages, overcoming the impact of harsh environments to complete inspection tasks.
  • Inspections under Special Climatic Conditions: During extreme weather such as heavy rain, heavy snow, and strong winds, the smart inspection system can still operate normally, promptly detecting equipment hidden dangers caused by severe weather.

Core Functions

Function Module Description
Intelligent Decision Making Based on the intelligent inspection system for the converter transformer area, it guides inspection personnel to locate the specific position of defects and faults, making it convenient for maintenance personnel to determine the repair duration and fault level, and providing reasonable repair suggestions.
Infrared Temperature Field Infrared temperature field detection: when an abnormality occurs, based on the actual measured temperature value, provide repair level suggestions, such as advising power outage for maintenance if there is a significant temperature jump;
Image System When a fire occurs, automatically report the fire situation, and display the real-time progress of on-site disposal through 3D panorama and live video, guiding the safe and orderly emergency response to the fire on site;
Data Perception Achieve monitoring and perception of fire hazards in converter stations;

Technical Advantages

  • High-precision detection: Utilizes advanced sensors and imaging technology to precisely detect subtle equipment abnormalities.
  • Intelligent analysis: Based on deep learning algorithms, the system can automatically learn normal equipment operating states and fault patterns, continuously optimizing fault diagnosis models, improving diagnostic accuracy, and reducing false positive and false negative rates.
  • High reliability and stability: The system adopts redundant design and high protection level equipment, with capabilities such as anti-electromagnetic interference, waterproof, and dustproof, allowing it to operate stably in complex electromagnetic environments and harsh climatic conditions.
  • Reduced O&M costs: Through automated inspection and precise fault diagnosis, it reduces manual inspection workload and equipment maintenance costs, extends equipment service life, and improves the economic benefits for power enterprises.

Application Cases

Case 1: An unattended 220kV substation

  • Project Background: Unattended operation led to inability to timely grasp equipment operating status, resulting in higher equipment fault risks.
  • Solution Implementation: Implemented a smart inspection system, monitoring equipment status in real-time through robots and sensors, combined with AI algorithms for fault diagnosis.
  • Application Effect: Since its operation, the system has successfully predicted 12 equipment faults, avoiding power outages caused by equipment failures. Equipment availability increased to 99.99%, significantly improving the operation and maintenance management level of the substation.
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Solution Introduction

Application Cases

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