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Research On Fault Diagnosis Of Building Electrical Equipment

Posted on:2019-02-27Degree:MasterType:Thesis
Country:ChinaCandidate:R WangFull Text:PDF
GTID:2348330545993447Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In People's Daily life,fire has always been one of the major disasters which have the highest frequency and the greatest danger,endangering the lives of citizens and the safety of property.In the building that our country has already built or is being built,the proportion of the building area of the community is increasing.The resulting the fire system design,safety measures,contingency plans problems have also aroused great attention from the government and relevant technical supervision departments.However,there are many problems in community fire alarm control system.Such as single signal detection(smoke detection or temperature detection),low sensitivity,high input cost,difficulty in maintenance,difficulty in unified control and difficulty in development.In this paper,based on Jilin province science and technology plan projects "Intelligent fire control system based on IOT technology." and the state administration of production safety supervision and management of the project "Intelligent fire fighting system with alarm and linkage control function",the research and design a kind of community fire alarm control system based on Internet of things technology.The architecture of the system is divided into two parts: the bottom layer and the upper part.The bottom layer is composed of compound fire detector,routing node,coordination node and linkage control equipment,all of which adopt CC2530 as the control chip.In order to facilitate debugging download design install wireless download function module.The compound fire detector detects temperature signal,CO concentration and smoke concentration,passes through ZigBee wireless network to the coordination node,and the coordination node uses CAN bus to transfer information to the upper server.The superstructure consists mainly of servers and clients.The server is responsible for the maintenance and management of the system,and uses the fuzzy neural network algorithm to improve the accuracy of early detection of fire.After the fire is confirmed,the fire information is stored in MySQL database,and relevant linkage control equipment is started.The client sets the monitoring function and the historical data query function,so as to check the monitoring data and historical records in the room,and display the operation information and alarm information.This paper designs a community fire alarm system based on IOT technology to solve many problems existing in the traditional way.For example,the funding and operation maintenance cost highly,the signal detection is single,the unified control is difficult,the alarm sensitivity is poor and so on,and finally achieves the effect of low cost,high sensitivity and expansibility.The system has good application and promotion value for the high density and high safety requirements of modern residential areas and apartments.
Keywords/Search Tags:Fire alarm control system, ZigBee technology, Composite fire detector, Fuzzy neural network, The My SQL database
PDF Full Text Request
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