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Optimization method of waste heat valve control based on fusion drive
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Jing LIU1, 2, Chaoran LI1, Jiannan ZHANG1, Jia ZHAO3, 4
Thermal Power Generation | 2023, 52(10) : 176 - 186
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Thermal Power Generation | 2023, 52(10): 176-186
• Power generation technology forum •
Optimization method of waste heat valve control based on fusion drive
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Jing LIU1, 2, Chaoran LI1, Jiannan ZHANG1, Jia ZHAO3, 4
Affiliations
  • 1.School of Artificial Intelligence, Hebei University of Technology, Tianjin 300400, China
  • 2.Hebei Data Driven Industrial Intelligent Engineering Research Center, Tianjin 300400, China
  • 3.Tianjin Development Zone Jingnuo Data Technology Co., Ltd., Tianjin 300400, China
  • 4.School of Science, Hebei University of Technology, Tianjin 300400, China
Published: 2023-10-25 doi: 10.19666/j.rlfd.202306390
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The traditional waste heat valve control technology is mainly divided into two methods, mechanism modeling and data-driven. However, in practical applications, the former is difficult to accurately describe due to the complex mechanism. The latter requires high data quality and full working condition samples, which is difficult to meet in a short time. Aiming at the above problems, a fusion-driven optimization method for waste heat valve control is proposed. Firstly, the mechanism knowledge and data knowledge are fused to construct a knowledge graph model based on fuzzy sets, and the valve opening knowledge is materialized. Secondly, the LSTM valve opening optimization model based on time protection mechanism is established, and the time protection mechanism algorithm is proposed to determine the optimal adjustment frequency of the valve. Finally, the recommended valve opening is obtained by knowledge reasoning. Through experimental analysis and verification, this method integrates qualitative knowledge such as waste heat recovery mechanism and quantitative knowledge such as equipment operation data. While improving the safety of equipment, the probability of generating high-temperature saturated steam enthalpy is increased by 94%, and the average daily increase is 8 640 kJ, which realizes the intelligent decision of waste heat recovery valve opening.

fusion drive  /  waste heat recovery  /  valve control  /  knowledge graph  /  LSTM neural network
Jing LIU, Chaoran LI, Jiannan ZHANG, Jia ZHAO. Optimization method of waste heat valve control based on fusion drive[J]. Thermal Power Generation, 2023 , 52 (10) : 176 -186 . DOI: 10.19666/j.rlfd.202306390
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  • Beijing-Tianjin-Hebei Cooperation Special Foundation for Basic Research(G2021202013)
  • Natural Science Foundation of Hebei Province(F2022202021)
Appendix
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Year 2023 volume 52 Issue 10
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Article Info
doi: 10.19666/j.rlfd.202306390
  • Online Date：2026-01-26
  • Published：2023-10-25
Article Data
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History
  • Revised：2023-06-07
Funding
Beijing-Tianjin-Hebei Cooperation Special Foundation for Basic Research(G2021202013)
Natural Science Foundation of Hebei Province(F2022202021)
Affiliations
    1.School of Artificial Intelligence, Hebei University of Technology, Tianjin 300400, China
    2.Hebei Data Driven Industrial Intelligent Engineering Research Center, Tianjin 300400, China
    3.Tianjin Development Zone Jingnuo Data Technology Co., Ltd., Tianjin 300400, China
    4.School of Science, Hebei University of Technology, Tianjin 300400, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202306390
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