Electronic Science and Technology ›› 2021, Vol. 34 ›› Issue (9): 17-23.doi: 10.16180/j.cnki.issn1007-7820.2021.09.004

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Optimization of Temperature Sensor Location Based on Genetic Algorithm

XIU Xiaobo,LI Boquan,ZHOU Feng   

  1. School of Mechanical Engineering,Jiangsu University,Zhenjiang 212013,China
  • Received:2020-05-04 Online:2021-09-15 Published:2021-09-08
  • Supported by:
    National Natural Science Foundation of China(51675245)


The temperature field distribution information reflects the internal operating state of industrial equipment in industrial applications, which helps to formulate control strategies and ensure the safety of industrial equipment operation. In view of the limitation of UDD section temperature field detection of chain grate in the iron and steel smelting equipment, a method is proposed to solve the problem of the optimal position and number of temperature sensor layout. A mathematical model of the UDD section is established using heat transfer theory, and the theoretical temperature field of the UDD section is obtained through computational fluid dynamics. An objective function for evaluating the location of sensor placement is designed and calculated using genetic algorithm to obtain the optimal solution for the number and location of temperature sensors. The effect of the scheme is verified by numerical simulation. The results show that when the radial basis function is used to convert the temperature field, the temperature field after optimization is increased by 30.90% when compared with the average before optimization, and the model hit rate is increased from 99.88% to 99.99 %.

Key words: pellet chain grate, updraft drying section, sensor location optimization, temperature field reconstruction, genetic algorithm, radial basis function

CLC Number: 

  • TP301.6