A Local Area Network-Based Insect Intelligent Building Platform

Author:

Zhang Zhen-Ya1ORCID,Fang Bo2,Wang Ping2,Cheng Hong-Mei3ORCID

Affiliation:

1. Anhui Province Key Laboratory of Intelligent Building & Building Energy Saving, Anhui Jianzhu University, 856 Jinzhai Road, Hefei 230022, P. R. China

2. School of Electronic and Information Engineering, Anhui Jianzhu University, 292 Ziyun Road, Hefei 230022, P. R. China

3. School of Economics and Management, Anhui Jianzhu University, 856 Jinzhai Road, Hefei 230022, P. R. China

Abstract

The Insect Intelligent Building (I2B) platform is one kind of new architecture of building control and management systems based on a computing process node (CPN) network. To construct an I2B platform more conveniently, a new kind of I2B Platform based on a local area network is presented in this paper. In the local area network-based I2B Platform, the database describing the adjacency of building space units is deployed in building process unit (BPU) and central information node. And with BPU and central information node, the local area network-based I2B Platform can perceive the local topology of each building space unit and each build facility unit even if the CPN network is not deployed. Furthermore, the evaluation method for communication performance of the local area network-based I2B is also presented in this paper. Experiment results show that the network performance of the local area network-based I2B platform can meet the requirements of the I2B platform on communication time.

Funder

National Key Research and Development Project of China

Key Project of Natural Science Research of Universities of Anhui Province

the Discipline (Major) Top-notch Talent Academic Funding Project of Anhui Provincial University and College

Key Research Institute of Humanities and Social Sciences in Sichuan Province

the Innovative Talent Project of Anhui Provincial Special Support Program

Anhui Provincial Quality Engineering Project of Higher Education Institutions

the Quality Engineering Project of Anhui Jianzhu University

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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