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Simulation modeling of «Smart home’s» actions using data of men’s posture


S.P. Fomin – Post-graduate Student, Department «Physics and Applied Mathematics», Murom branch Vladimir State University named after A.&N. Stoletovs. E-mail: A.A. Orlov – Dr. Sc. (Eng.), Associate Professor, Head of Department «Physics and Applied Mathematics», Murom branch Vladimir State University named after A.&N. Stoletovs. E-mail:

Modern home control systems have a set of solutions aimed at saving energy. As a rule, the savings achieved through the use of motion sensors and presence sensors, well-located sensors allow the system to choose correctly what kind of devices should be enabled or disabled. However, information about man’s posture is rarely used in the existing building automation systems, which would expand the list of possible actions, thus making the system more flexible. Recognition of postures is used in narrowly focused solutions, such as taking care of sick people, the system controls whether the man fell, and it means that if a person lies on the floor, the system provides the relevant signal. The use of this mode of operation saves time and energy of a person for enabling\\disabling devices. The possibility of using automation systems of recognition of man’s posture in building is being studied in this paper. A simulation model that allows you to set different number of persons in the system, equipment, time, to choose other modes, track spent time and energy was developed to study this mode. Testing with the number of people from 1 to 5 in different time frames was conducted to demonstrate the advantages of the regime with the recognition of human posture. Test results showed the obvious superiority of the system with the recognition of human posture on two key parameters, such as elapsed time and energy.


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