DEVELOPMENT OF ALGORITHMS TO DETERMINE WHEN TO USE GENERIC MODELS OF THE SENSORS

Author:

Stativko R. W.1,Kolomytseva E. P.1

Affiliation:

1. Belgorod State Technological University named after V.G. Shukhov

Abstract

The aim of this work is to develop approaches to automate the process of installing sensors for monitoring "smart home". The article briefly describes the emergence of the smart home system and the further spread of this system in Russia. “Smart Home” is a home control system that provides automatic and well-coordinated operation of a whole complex of systems, in particular, lighting control, which requires the use of correct placement of sensors. Such a system can provide benefits for people with disabilities. The sensor layout will optimize energy consumption. The paper gives a brief description of the classic sensor sets for a smart home. A classic set for a smart home are: control center, cameras, modules in the socket, wall switches, control modules and various sensors. The classification of sensors according to various characteristics and the method of connection is given. The article focuses on the placement of motion and light sensors, which are often the basis of a “smart home” and are used to control various devices. This paper describes the classic smart home circuit and lists its main components. An algorithm is proposed for determining the need for using standard models of motion and illumination sensors and their quantitative ratio from the room analysis, namely: the type of room (residential, non-residential), the size of the room, the presence of window and door openings. The presented algorithm contains the following steps: preliminary analysis of the room in which it is necessary to install motion and light sensors, take into account the characteristics of the sensors. Brief results of testing are given. This work shows that it is quite possible to arrange a “smart home” complex in an individual residential structure.

Publisher

Southwest State University

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference14 articles.

1. Ukaz Prezidenta Rossijskoj Federacii ot 9 maja 2017g. № 203. O Strategii razvitija informacionnogo obshhestva v Rossijskoj Federacii na 2017-2030 gody. Dostup iz sprav.-pravovoj sistemy «Konsul'tantPljus».

2. Soper M.Je. Prakticheskie sovety i reshenija po sozdaniju «Umnogo doma». Moscow, 2007, 432 p.

3. Gustav Olsson, Dzhanguido Piani Cifrovye sistemy avtomatizacii i upravlenija Saint-Petersburg, Nevskij Dialekt Publ., 2001, 557 p.

4. Tapia E. M., Intille S. S., Larson K. Activity recognition in the home using simple and ubiquitous sensors. International conference on pervasive computing. Springer, Berlin, Heidelberg, 2004, pp. 158-175.

5. Lu J. et al. The smart thermostat: using occupancy sensors to save energy in homes. Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, ACM, 2010, pp. 211-224.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3