Intelligent monitoring of home movement based on fuzzy control theory |
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| Affiliation: | 1. Institute of Physical Education, Shenyang Sport University, Shenyang, Liaoning, 110102, China;2. Physical Education Department, Liaoning University, Shenyang, Liaoning, 110036, China;1. Ma''anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense, Wanjiang University of Technology, Maanshan 243000, China;2. Key Laboratory of Unmanned Aerial Vehicle Development & Data Application of Anhui Higher Education Institutes, Wanjiang University of Technology, Maanshan 243000, China;1. Physical culture institute, Wonkwang University, Iksan, Jeollabuk-do 54538, Korea;2. Fuyang medical science and Technology Engineering School, Taihe, Anhui, 236600, China;3. Physical culture institute, Pai Chai University, Daejeon 35345, Korea;1. Public Education Department, Anhui Finance and Trade Vocational College, Hefei 230601, Anhui, China;2. Anhui Hefei No.168 Senior High School, Hefei 230601, Anhui, China |
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| Abstract: | Previous examples and trends in the smart home are used daily by adults to ensure that the climate in the country they used in their Daily Life Activities (DLA), as their leisure group. Daily Confirmation Care (DCC), a key prerequisite for accommodation innovation framework. Through the day life fitness screen, temperature, CO2, boiling sensors and receivers are depicted experimentally in this study. The first paragraph of this article describes the identification and laboratories of SHC habitats using CO2 standard estimates. In this article the Smart Home Center (SHC) level is calculated from the dust temperature, in the second part used to predict the presence of a person in a room with a CO2 focus that relies on Levenberg-Marquardt calculation. Also (indoor, outdoor) relatively warm air promises to activate. Expected business and Smart Home (SH) (multi-month) expertise in testing (unstable, unrestricted) in testing, to get the best and sensors pulled out by CO2 to instruct visual information CO 2 sensor removal, cyclic charcoal acid in assessment Is ready in a roundabout way to predict the CO2 of the gas. In generally accepted study, the optimal level to determine neurological tissue, upgrade time, square neural input range is estimated based on the average square root error relative to the Coefficient (C) and the length of deliberate preparation. Immediate load control depends on the use of the new point Fuzzy Logical Control (FLC and). Client verification with direct control is essential for effective execution of our responses. The reach between the upper limit of mechanical innovation and trade exchange between occupant comfort and electricity bills. Entertainment results demonstrate the possibility of the proposed opportunity in the funds of energy investment. |
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