Paper
16 June 2023 Application of distributed network in remote indoor temperature control and energy conservation system
Shenglang Jin, Fei Que
Author Affiliations +
Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127020O (2023) https://doi.org/10.1117/12.2680403
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China
Abstract
In the present work, a distributed network-based remote indoor temperature control and energy conservation system is proposed. The system provides such functions as remote data transfer and remote control, as well as a distributed information sharing and communication platform. Meanwhile, the system integrates an intelligent control system and a database management system, on which the data obtained from the Internet are first assessed by the expert panel and then processed by the intelligent control system. In this way, real-time intelligent control is achieved to allow the user to control the indoor temperature and production conditions of the greenhouse through the network. During the design of the system, a wireless monitoring system is developed as per the specific location and geographic conditions for remote surveillance. The field test shows that compared with the control plot, the experiment plot reduced the gas consumption by 2802.4 m3, reduced energy consumption by 24935.0 kW·h. The work is expected to provide a solution for development of remote indoor temperature control and energy conservation systems in real-world scenarios.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shenglang Jin and Fei Que "Application of distributed network in remote indoor temperature control and energy conservation system", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127020O (16 June 2023); https://doi.org/10.1117/12.2680403
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Power consumption

Temperature control

Control systems

Atmospheric modeling

Data modeling

Intelligence systems

Pipes

RELATED CONTENT


Back to Top