Issue |
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
|
|
---|---|---|
Article Number | 02033 | |
Number of page(s) | 4 | |
Section | Integrated Application of Renewable Energy in Buildings | |
DOI | https://doi.org/10.1051/e3sconf/201913602033 | |
Published online | 10 December 2019 |
Development of Intelligent Building Energy-saving Temperature Control System Based on FPGA
1 Anhui Jianzhu University, Anhui, Hefei 340601, China
2 Key Laboratory of Huizhou Architecture in Anhui Province, China
* Corresponding author: tea_gaoli@qq.com
The ideal energy-saving building should meet the environmental quality of living space in different seasons with the least energy consumption. The indoor temperature of the building is an important consideration. However, most temperature control systems have certain problems. In order to improve the stability and accuracy of the temperature control system, a system based on FPGA+Verilog HDL for intelligent adjustment of indoor temperature is designed. The purpose of the system design is to achieve the dual effect of comfortable and energy-saving living environment. The system uses an integrated temperature sensor DS18B20 as a temperature sensing element. FPGA as the master control center to process data. The system is programmed with the hardware description language Verilog HDL. The temperature control system uses a digital PID control algorithm. The simulation results verify the correctness of the design.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.