Abstract
In order to improve the accuracy of temperature control in the heating room and make the indoor temperature meet the comfort requirements of people for the living environment, the theory of multi-channel temperature signal denoising is introduced and the research on the technology of temperature control in the heating room based on multi-channel temperature signal denoising is carried out. First, the heating heat load is classified into three levels, namely, first level, second level and third level. On this basis, a heating indoor temperature model is built. Secondly, the pretreatment circuit design is completed to realize the noise removal of multi-channel temperature signals and improve the transmission quality of multi-channel temperature signals. Thirdly, the PID parameters are adjusted, and the temperature in the heating room is PID controlled. The fuzzy PID theory is introduced to design the fuzzy PID control. Finally, introducing fuzzy PID algorithm to make the steady-state error and maximum deviation of the heating temperature control system, the prediction and compensation control of the heating room temperature is carried out. The experimental analysis results show that the introduction of multi-channel temperature signal control technology can achieve high-precision control of indoor temperature in heating in practical application, so that the indoor temperature change can fully meet the comfort requirements of residents for indoor heating.
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References
Gao, Y., Shohei, M., Yasunori, A.: Energy saving and indoor temperature control for an office building using tube-based robust model predictive control. Appl. Energy 341 (2023)
Chen, C., An, J., Wang, C., et al.: Deep reinforcement learning-based joint optimization control of indoor temperature and relative humidity in office buildings. Buildings 13(2) (2023)
Yang, Z., Zhang, W., Lin, X., et al.: Optimization of minor-LiCl-modified gypsum as an effective indoor moisture buffering material for sensitive and long-term humidity control. Build. Environ. 229 (2023)
Cho, S., Nam, H.J., Shi, C., et al.: Wireless, AI-enabled wearable thermal comfort sensor for energy-efficient, human-in-the-loop control of indoor temperature. Biosens. Bioelectron. 223 (2023)
Cheng, J., Kang, M., Lin, W., et al.: Preparation and characterization of phase change material microcapsules with modified halloysite nanotube for controlling temperature in the building. Construct. Build. Mater. 362 (2023)
Sun, C., Liu, Y., Cao, S., et al.: Integrated control strategy of district heating system based on load forecasting and indoor temperature measurement. Energy Reports 8 (2022)
Wirtz, M., Neumaier, L., Remmen, P.,et al.: Temperature control in 5th generation district heating and cooling networks: An MILP-based operation optimization. Appl. Energy 288(24), 116608.1–116608.13 (2021)
Yang, S., Li, S., Yu, H.: Study on room temperature control of VAV air conditioning system. Comput. Simul. 39(4), 284–289 (2022)
Juan, B.V., Luis,C.L., David, M.V.: Indoor temperature and relative humidity dataset of controlled and uncontrolled environments. Data 7(6) (2022)
Hatef, H., Kaiser, A., Jarek, K.: Dynamic heating control measured and simulated effects on power reduction, energy and indoor air temperature in an old apartment building with district heating. Energy Build. 268 (2022)
Acknowledgement
Shaoyang City Science and Technology Plan Project (2022GZ3034); Hunan Provincial Natural Science Foundation of China (2023JJ50270, 2023JJ50267); Hunan Provincial Department of Education Youth Fund Project (21B0690); Hunan Provincial Department of Science and Technology Science and Technology Plan Project (2016TP1023).
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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, L., Chen, R., Yin, J., Zhu, Q. (2024). Temperature Control Technology in Heating Room Based on Multi-channel Temperature Signal Denoising. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-031-50549-2_21
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DOI: https://doi.org/10.1007/978-3-031-50549-2_21
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