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Research On Fire Security Of Smart Home System

Posted on:2011-04-12Degree:MasterType:Thesis
Country:ChinaCandidate:R X MaFull Text:PDF
GTID:2178360308958589Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
With modern science and technology , especially information technology and the rapid development of Internet , such as network , and smart community , smart home and information appliances has become part of our lives . Smart Home is the development trend of future Home, it can not only offer customers safe, comfortable and convenient living environment , but also the user can remote monitoring his household at anytime and anywhere . Household security is an important part of fire safety and security of Smart Home system , and the research emphasis, household fire monitoring and therefore study appears especially important.The real goal of fire detection is to give early alarm to a fire and reduce the fault alarm. In order to reach it, this paper analyzed Smart Home's derivation, development and achievements nowadays, designed and realized the Smart Home security system based on multi-communication Technologies. While, researching fuzzy neural network on the application of Smart Home security, to improve the stability and accuracy of the system.The paper's main works include:First of all , through the development of smart home and abroad at this stage the status of research and analysis, and the light of existing problems, put forward a viable technical solution, that is, the smart home system based on fuzzy neural network algorithm . Based on current research of key techniques of fire detection, using multi-sensor data fusion technology and fuzzy neural network technology on fire and signal processingThen , this paper introduces the design of smart home systems, while the smart home fire security systems, completed its data acquisition hardware and software modules designed and implemented using VC++6.0 intelligent home systems monitoring and management platform for interface design.Then , using of fuzzy neural network algorithm to analyze the data on the system, and the using of MATLAB software on the design of the system network model simulation experiments. The results show that date fusion technology is applied in the system is effective and feasible , as well as can improve accuracy, reduce the rate of false positives system, etc.Finally, a summary of the paper. This paper describes the main research work completed, also pointed out the deficiencies of this thesis, future research directions are proposed for the subject in-depth research has been the foundation.
Keywords/Search Tags:Smart Home, Fire Security, Fuzzy Neural Network
PDF Full Text Request
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