Version 1
: Received: 3 September 2019 / Approved: 4 September 2019 / Online: 4 September 2019 (14:27:48 CEST)
How to cite:
Ying, T.; Jun-qi, Y.; Xiong, Y.; Fukang, S.; Anjun, Z. Energy Consumption Monitoring System of the Large-scale Building Using Insect Intelligent Building Technology. Preprints2019, 2019090048
Ying, T.; Jun-qi, Y.; Xiong, Y.; Fukang, S.; Anjun, Z. Energy Consumption Monitoring System of the Large-scale Building Using Insect Intelligent Building Technology. Preprints 2019, 2019090048
Ying, T.; Jun-qi, Y.; Xiong, Y.; Fukang, S.; Anjun, Z. Energy Consumption Monitoring System of the Large-scale Building Using Insect Intelligent Building Technology. Preprints2019, 2019090048
APA Style
Ying, T., Jun-qi, Y., Xiong, Y., Fukang, S., & Anjun, Z. (2019). Energy Consumption Monitoring System of the Large-scale Building Using Insect Intelligent Building Technology. Preprints. https://doi.org/
Chicago/Turabian Style
Ying, T., Sun Fukang and Zhao Anjun. 2019 "Energy Consumption Monitoring System of the Large-scale Building Using Insect Intelligent Building Technology" Preprints. https://doi.org/
Abstract
In this paper, the methodology using Insect Intelligent Building (I^2B) technology for establishing energy consumption monitoring system of public buildings is prevailed. The computing process node and distributed algorithm are utilized to implement the energy consumption collection and data transmission and data pre-processing. Taking a commercial building as a case study, CPNs are applied to set up the building energy consumption monitoring system, with the Spanning Tree Algorithm for generating network topology，and BPNN method for solving abnormal data and recovering missing data. The research results demonstrate the proposed method can effectively improve the performance of plug-and-play and self-identified and self-configuration of energy consumption monitoring system.
Keywords
Energy consumption monitoring system; Building energy conservation management; Insect Intelligent Building technology; Computing process node; Insect intelligent algorithm
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
