Turbine data acquisition system based on industrial internet and edge computing

Abstract

The invention relates to a turbine data acquisition system based on industrial internet and edge computing. The turbine data acquisition system based on industrial internet and edge computing includesa shafting vibration signal acquisition module, an industrial soft gateway and a cloud module, wherein the shafting vibration signal acquisition module is used to perform shafting vibration signal acquisition and feature extraction on the shafting vibration signals, and realize remote transmission of the shafting vibration signals after feature extraction; the industrial soft gateway includes a communication module, a turbine data acquisition configuration module and a turbine data sending module; and the cloud service module includes a public cloud service module and a private cloud servicemodule, and the main function of the cloud service module is to perform efficient data management and data analysis. The invention provides a turbine data acquisition, analysis and diagnosis system with good applicability, strong portability, wide data resources and high diagnostic precision. The turbine data acquisition, analysis and diagnosis system effectively improves the problem that the prior art is lag in the detection means, is low in the utilization efficiency of big data, and is low in the accuracy of the analysis and diagnosis results.

Description

technical field [0001] The invention relates to the field of steam turbine data detection, in particular, a steam turbine data acquisition system based on industrial Internet and edge computing. Background technique [0002] With the rapid development of the electricity market and the increasingly fierce competition in the market, each power station has higher and higher requirements for the performance of power generation equipment, unit safety, and operating costs. The current operation and maintenance service is mainly based on the fact that after the equipment fails, the engineer will go to the site to carry out the maintenance service. Since the failure has already occurred, it will cause shutdown in serious cases, which will cause great losses to the power station users. Therefore, it is necessary to analyze and warn the equipment status data in advance. Based on the information construction of power stations and the needs of fault diagnosis, a large number of enterpr...

AI Technical Summary

Problems solved by technology

Effectively improve the problems of outdated detection methods in existing technologies, low utilization efficiency of big data, and low accuracy of analysis and diagnosis results

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