Telecommunications Science ›› 2019, Vol. 35 ›› Issue (3): 147-152.doi: 10.11959/j.issn.1000-0801.2019045

• Power informatization column • Previous Articles    

Boiler excess air coefficient model based on the large data analysis

Xiaowen SU1,Chaofei LIU2,Zhiwei WANG2,Hao ZHANG2   

  1. 1 Huaneng Shaanxi Power Generation Co.,Ltd.,Xi’an 710075,China
    2 Xi’an Thermal Power Research Institute,Xi’an 710032,China
  • Revised:2019-02-26 Online:2019-03-01 Published:2019-03-23


Excess air coefficient value of boiler directly affects boiler efficiency.The multivariate linear regression method in the large data analysis method was used,after the preprocessing of the historical running data,the SPSS software was used to regress the sample data,and the evaluation model of the influence factors for the excess air coefficient was established.The correlation coefficient of the selected influence factors was obtained,and the accuracy of the model was carried out by the residual analysis method.Finally,the excess air coefficient of the actual operation was analyzed based on the design value.

Key words: excess air coefficient, big data, multiple linear regression, SPSS

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