Optimization of Public Building Monitoring System Based on Human Behavior

DOI

10.2991/eee-19.2019.45How to use a DOI?

Keywords

Human behavior, Electricity monitoring system, Cumulative error estimation algorithm, Power optimization

Abstract

In recent years, with the rapid development of the economy, China's building energy consumption has increased year by year, and energy conservation has become an inevitable requirement for development. Among them, the impact of human settlements on building energy consumption is obvious, and the study of building energy consumption by human settlements has certain social significance. At present, the research on the model of human behavior is obtained under certain assumptions, resulting in inaccurate results. Therefore,a set of energy consumption monitoring system platform based on personnel behavior was developed, and the number acquisition device was developed. The cumulative error estimation algorithm was used to optimize it, which provided a data foundation for solving the problem of energy-saving optimization of intelligent buildings based on human settlements.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Hong-bo Guo
AU  - Yang Gao
AU  - Guo-jian Wang
AU  - Qing-ping Li
AU  - Ran Jia
AU  - Xu-dong Liu
PY  - 2019/07
DA  - 2019/07
TI  - Optimization of Public Building Monitoring System Based on Human Behavior
BT  - Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
PB  - Atlantis Press
SP  - 279
EP  - 286
SN  - 2352-5401
UR  - https://doi.org/10.2991/eee-19.2019.45
DO  - 10.2991/eee-19.2019.45
ID  - Guo2019/07
ER  -