Boiler excess air coefficient model based on the large data analysis

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...

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Main Authors: Xiaowen SU, Chaofei LIU, Zhiwei WANG, Hao ZHANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2019-03-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019045/
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author Xiaowen SU
Chaofei LIU
Zhiwei WANG
Hao ZHANG
author_facet Xiaowen SU
Chaofei LIU
Zhiwei WANG
Hao ZHANG
author_sort Xiaowen SU
collection DOAJ
description 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.
format Article
id doaj-art-b527b7a0a2664b34a65316cb42abc1f1
institution Kabale University
issn 1000-0801
language zho
publishDate 2019-03-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-b527b7a0a2664b34a65316cb42abc1f12025-01-15T03:03:16ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-03-013514715259590859Boiler excess air coefficient model based on the large data analysisXiaowen SUChaofei LIUZhiwei WANGHao ZHANGExcess 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019045/excess air coefficientbig datamultiple linear regressionSPSS
spellingShingle Xiaowen SU
Chaofei LIU
Zhiwei WANG
Hao ZHANG
Boiler excess air coefficient model based on the large data analysis
Dianxin kexue
excess air coefficient
big data
multiple linear regression
SPSS
title Boiler excess air coefficient model based on the large data analysis
title_full Boiler excess air coefficient model based on the large data analysis
title_fullStr Boiler excess air coefficient model based on the large data analysis
title_full_unstemmed Boiler excess air coefficient model based on the large data analysis
title_short Boiler excess air coefficient model based on the large data analysis
title_sort boiler excess air coefficient model based on the large data analysis
topic excess air coefficient
big data
multiple linear regression
SPSS
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019045/
work_keys_str_mv AT xiaowensu boilerexcessaircoefficientmodelbasedonthelargedataanalysis
AT chaofeiliu boilerexcessaircoefficientmodelbasedonthelargedataanalysis
AT zhiweiwang boilerexcessaircoefficientmodelbasedonthelargedataanalysis
AT haozhang boilerexcessaircoefficientmodelbasedonthelargedataanalysis