Thermal power generating unit expert remote diagnosis system based on cloud service

Abstract

A thermal power generating unit expert remote diagnosis system based on cloud service is provided.A cloud service center uses a cloud infrastructure service IaaS, an edge computing service EC Agent and a big data technology to centrally acquire and store operation state data which are distributed in different regions and are accessed to a power plant unit differently; server resources and computing resources in the cloud architecture are subjected to unified allocation and scheduling management through a virtualization technology; paaS is utilized to integrate big data processing, data analysis and micro-service functions, and an operating system platform which is expanded as required and is automatically telescopic and professional application services are formed; and application softwareservice SaaS provided by a cloud computing network is used for carrying out modeling and analysis application on equipment diagnosis, and professional application software functions are packaged intoservices in an internet browser or WebSocket program connection mode to be called by a service provider or used in a multi-tenant mode. Based on the system of the invention, low-consumption and high-efficiency services are provided for enterprises and individuals, and a new path and means are provided for innovation of remote diagnosis.

Description

technical field [0001] The invention relates to the technical field of equipment status diagnosis of thermal power energy enterprises, in particular to a remote diagnosis system for thermal power unit experts based on cloud services. Background technique [0002] In the process of electric power production, any failure of equipment during continuous operation not only directly affects the output and quality of electric energy, but also causes serious equipment and personal accidents. Process status monitoring and fault diagnosis are important and effective technical means to improve the safe, reliable and economical operation of unit equipment. In recent years, with the development of computer information technology, remote diagnosis based on the network can carry out remote expert consultation and effective collaboration of resources, and can realize timely and effective fault diagnosis, thus improving equipment safety, reliability, availability and reducing diagnosis. The...

AI Technical Summary

Problems solved by technology

[0003] However, with the digitalization and intelligentization of enterprises and the large-scale and sophisticated development of equipment, equipment fault diagnosis requires more and more resources and the amount of data to be processed, which requires a large amount of computing power and knowledge and experience support. can't solve all problems

[0004] With the increasing scale and complexity of the system, there are requirements characterized by physical distribution, heterogeneity, collaboration, interoperability, reusability, high concurrency, high computing power and high cost performance. The traditional remote diagnosis system internal (local area) ) network architecture and solutions are difficult to solve; in addition, power plant systems with different unit types, equipment structures, and operating modes are difficult to customize, develop, and deploy in a unified manner according to traditional diagnostic function modules; more importantly, users hope that through The Internet can obtain diagnostic technical services on demand anytime and anywhere, so as to realize the "Internet + equipment diagnosis" service model expected by users

Images