变电站高压设备异常声音识别检测装置的研制及应用

Development and Application of Abnormal Sound Recognition and Detection Device for High-Voltage Equipment in Substations

本文重点介绍了变电站高压设备异常故障识别检测装置的研制过程。通过结合声纹识别、臭氧识别以及局放试验数据识别等多种技术,实现对高压设备状态的有效监测与故障预警。本文详细介绍了装置的工作原理、技术特点、实施效果及未来发展方向,旨在为电力行业提供一种高效、可靠的设备监测工具,保证人身、电网和设备安全,提高运维人员工作效率和供电可靠性。

This article focuses on the development process of an abnormal fault identification and detection device for high-voltage equipment in substations.By combining various technologies such as voiceprint recognition,ozone recognition,and partial discharge test data recognition, effective monitoring and fault warning of high-voltage equipment status can be achieved. This article provides a detailed introduction to the working principle, technical characteristics, implementation effects, and future development direction of the device, aiming to provide an efficient and reliable equipment monitoring tool for the power industry, ensuring personal, power grid, and equipment safety, and improving the work efficiency and power supply reliability of operation and maintenance personnel.