Voiceprint-based intelligent health monitoring method for power equipment

Abstract

The invention relates to the technical field of power. The invention provides a voiceprint-based intelligent health monitoring method for power equipment. The voiceprint-based intelligent health monitoring method comprises the following steps: S1, arranging a voiceprint signal collector on the site of the power equipment, and uniformly deploying a plurality of wireless sensors on each piece of power equipment to acquire voiceprint signals of each piece of equipment working on the site of the power equipment; S2, enabling the voiceprint signal collector to be composed of a Bluetooth wireless communication module, a data packet forwarding module, a 4G communication module and a power supply module; S3, enabling the cloud voiceprint data memory to be composed of an IP communication module, adata storage module and a data processing module; and S4, periodically performing feature extraction, fault diagnosis and threshold correction on the voiceprint data stored in the disk by adopting anequipment health intelligent manager. According to the invention, the problems of difficult deployment of acquisition nodes, unstable work of a data server, slow fault diagnosis speed, low precision,non-adjustable fault diagnosis threshold and the like in the existing power equipment health monitoring technology are solved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a voiceprint-based intelligent health monitoring method for electric power equipment. Background technique [0002] With the expansion of power grid investment scale, the rapid development of new energy power generation industry, and the vigorous transformation of urban and rural power grids, the normal operation of power equipment is a necessary prerequisite to ensure the normal operation of the entire power supply system and good power supply. However, power equipment is generally in a charged state, and conventional methods cannot be used to detect it. Most of the existing technologies make indirect judgments by collecting equipment temperature data, but this is greatly affected by the environment, and the accuracy of judgment is not high. Refer to It is not meaningful. [0003] During the live operation of electric equipment, it will produce a unique sound and vibrat...

AI Technical Summary

Problems solved by technology

However, its detection and analysis are complicated and not suitable for overall health monitoring of various equipment on the power equipment site

[0007]Therefore, in the existing voiceprint-based power equipment health monitoring technology, either the deployment of collection nodes is difficult, the data server is unstable, or the detection and analysis are complicated and unsuitable for a variety of equipment Simultaneous health monitoring, or the false alarm rate of fault diagnosis is low with high precision, and the monitoring threshold of voiceprint data for fault diagnosis cannot be adjusted, which makes it impossible for multiple devices on the power equipment site to effectively monitor health in a unified manner