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Control System Design Of Extraction Condensing Turbine With MACSV

Posted on:2020-07-17Degree:MasterType:Thesis
Country:ChinaCandidate:W WangFull Text:PDF
GTID:2392330596482902Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Low-vacuum heating is an energy-saving heating scheme that can effectively reduce heat loss on the heat source side.However,due to its simple technology,the construction of automatic control systems is often overlooked.This paper proposes a new scheme for intelligent control of low vacuum heating,using local execution device instead of manual operation of the worker,applying remote control system to realize centralized control of unattended and dispatch center of low vacuum first station,applying intelligent control module Realize intelligent predictive feedforward control of the heating network.This not only avoids the personal danger that workers may encounter when operating on the spot,but also improves the precision and scientific control.The intelligent control scheme design completed in this paper includes four parts: hardware design of the control system,software configuration design,thermal network load forecasting analysis and intelligent control module design.The hardware design includes control module selection,control cabinet layout design,power supply redundancy design and communication network design;software configuration design mainly includes database configuration,controller algorithm configuration and graphic configuration;heat network load forecast analysis use The SPSS tool software performs linear regression analysis on the real heat load requirements,and obtains the load forecasting relationship function about the weather conditions.The design of the intelligent control module uses the Python tool to write the intelligent algorithm and realizes the heating process.Fully automatic intelligent feedforward control.Finally,the purpose of improving the accuracy and scientificity of low vacuum heating control is achieved.In this paper,the application of Hollysys MACSV technology,linear regression analysis technology,Python web crawling and embedding technology solves the problem of intelligent control of low vacuum heating,realizes the precise and scientific operation of the heating network,and solves the common problems in thermoelectric enterprises.It provides guarantee for the economic operation of heating enterprises.At the same time,this paper also proposes the idea and feasible solution for function expansion on the DCS system,which can provide benefits for the thermal power enterprise in upgrading and renovating the original system.
Keywords/Search Tags:Low vacuum heating, Distributed control system, regression analysis, Web Crawler, intelligent control
PDF Full Text Request
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