Power Generation Technology ›› 2024, Vol. 45 ›› Issue (4): 622-632.DOI: 10.12096/j.2096-4528.pgt.23054

• Power Generation and Environmental Protection • Previous Articles     Next Articles

Research on Predictive Maintenance Mode of Air Preheater Based on Digital Twin

Wang LIU1, Lian CHEN1, Gaoyang GONG2, Zhihua LI1, Wenhua XUE1, Jingang SHI1, Jun XIE1, Leilei LI1, Rongcai YAO1, Zhaopeng WANG1, Yanxi YANG3, Yi DENG3, Chenhui ZHANG3   

  1. 1.Guoneng Shouguang Power Generation Co. , Ltd. , Shouguang 262714, Shandong Province, China
    2.DongFang Electric Corporation DongFang Boiler Group Co. , Ltd. , Chengdu 611731, Sichuan Province, China
    3.School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi Province, China
  • Received:2023-04-28 Revised:2023-08-29 Published:2024-08-31 Online:2024-08-27
  • Contact: Yanxi YANG
  • Supported by:
    National Natural Science Foundation of China(62273274)

Abstract:

Objectives In order to solve the shortcomings of the traditional preventive maintenance method of air preheater in large thermal power unit, a general mode of predictive maintenance based on digital twin was proposed, and the digital twin system of air preheater was constructed based on digital twin technology. Methods The proposed system included physical entity of rotary air preheater, real-time data acquisition and analysis module, digital twin model construction module, thermal parameter state monitoring, rotor thermal field video and thermal deformation visualization and ash accumulation prediction module. By the real-time acquisition of temperature parameter state and video data, and through the temperature field, video image, air leakage calculation and other modules, the calculation of thermal parameters and the prediction of ash accumulation were realized. At the same time, the 3D configuration screen was used to display data in real time, continuously optimize the accuracy of thermal parameter calculation and ash accumulation prediction, and realize the automatic optimization of soot-blowing strategy. Results The proposed scheme realizes the state monitoring and dynamic control of the thermal calculation process of the air preheater, and solves the problem that the ash accumulation factor of the rotary air preheater in the existing power station affects the safe and reliable operation of the thermal power unit. Conclusions Through engineering testing of actual units, the proposed scheme effectively improves the operation and maintenance efficiency of the air preheater of thermal power units, verifies the feasibility of the proposed method, and provides technical support for the development of smart power plant systems in future.

Key words: thermal power unit, preventive maintenance, predictive maintenance, digital twin, air preheater

CLC Number: