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Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part III

Research Article

Temperature Control Technology in Heating Room Based on Multi-channel Temperature Signal Denoising

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-50549-2_21,
        author={Li Liu and Riheng Chen and Jintian Yin and Qunfeng Zhu},
        title={Temperature Control Technology in Heating Room Based on Multi-channel Temperature Signal Denoising},
        proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part III},
        proceedings_a={ADHIP PART 3},
        year={2024},
        month={3},
        keywords={Multi-Channel Temperature Signal Denoising Indoor Control Temperature Heating},
        doi={10.1007/978-3-031-50549-2_21}
    }
    
  • Li Liu
    Riheng Chen
    Jintian Yin
    Qunfeng Zhu
    Year: 2024
    Temperature Control Technology in Heating Room Based on Multi-channel Temperature Signal Denoising
    ADHIP PART 3
    Springer
    DOI: 10.1007/978-3-031-50549-2_21
Li Liu1, Riheng Chen1, Jintian Yin1,*, Qunfeng Zhu1
  • 1: Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area, Shaoyang University
*Contact email: yinjintian112@yeah.net

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.

Keywords
Multi-Channel Temperature Signal Denoising Indoor Control Temperature Heating
Published
2024-03-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-50549-2_21
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