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Embedded Dynamic Indoor Environment Monitoring And Control System Design

Posted on:2019-03-31Degree:MasterType:Thesis
Country:ChinaCandidate:B H JieFull Text:PDF
GTID:2358330542484419Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
With the development of economy and the improvement of quality of life,people's demand for living and office environment is also increasing.But with the deterioration of outdoor environment,people will suffer from the sub-health even if they are indoors for a long time.In view of the severe form of indoor environmental pollution,It is worth studying to introduce a variety of technologies into the field of indoor environmental monitoring and control,so as to improve the indoor environment.In view of the current research status and application needs,this paper designs monitoring and control system based on embedded system.This system is composed of the hardware platform and the software environment.The hardware platform use microcontroller as the core,designs the circuit and the central control board according to different functions.The central control board is the hardware foundation of the monitoring system and provides normal operation.The software environment consists of the lower computer software and the host computer software.The lower computer software cooperates with the central control board to complete the access and control of the peripherals to achieve the purpose of monitoring and improving the indoor environment.The host computer software is used to complete the user's local.In the automatic control of the system,the human body comfort model is integrated into the control logic,and the function of using the BP neural network to predict the model online is completed,and the intelligence and dynamics of the system are improved.Finally,function is tested and verified.It is proved that the system is reasonable in design and comprehensive in function,and meets the application needs.A closed loop dynamic system of “monitoring-control-improvement” has been formed.
Keywords/Search Tags:Embedded, environment monitoring, human comfort, neural network
PDF Full Text Request
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