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Based On The Human Body Comfort Home Environment Controller Design And Implementation

Posted on:2014-02-09Degree:MasterType:Thesis
Country:ChinaCandidate:X J WangFull Text:PDF
GTID:2248330395483398Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the development of economic, people are more and more taking in improving family living environment quality requirements, at the selection of smart home products in many families, how to maximize meet for personalized comfort requirements become the primary consideration.As Family environment is closely related to people’s health and personal experience in the modern family, a large number of air-conditioning equipment are used that caused growing household electricity consumption. With large mount of people, household energy loss and the potential waste seriously, to reduce household energy waste need pay attention to the conservation of electricity in personal daily life, and to improve efficiency in the use of equipment, minimizing potential waste and meeting user comfort need, that comfortable environment and energy-saving is future goal of intelligent homeBased on existing wireless smart home architecture I designed a controller according to the human comfort index of family thermal environment, firstly, I analyzed several different environmental factors affecting human comfort in the home environment, introduced the theory of human comfort index,getting environment and comfort data samples, and discussed several evaluation of human comfort prediction methods; Secondly, according to the user needs analysis for building a family, I design hardware and software of environment controller based on human comfort theory, the use of ARM master module and DSP co-processing module construct dual-core hardware structure of the to build home environment controller, user can interact with the main control with the module of B/S, the setting comfort parameters and online evaluation, to get his comfort zone.The Master module excite control strategy to control air-conditioning with the communication with coprocessor module which can use neural networks to forecast comfort evaluation to realize dynamic thermal comfort regulation; Then, described the master module and the co-processing environment controller module.At last, test environmental controller function and certified comfortable environment and energy saving function under the air-conditioning controlling of the family environment controller which can meet the dynamic temperature regulation.
Keywords/Search Tags:Smart home, human comfort index, ARM+DSP dual-core controller, neuralnetwork predict, control strategy
PDF Full Text Request
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