基于大数据分析的锅炉过量空气系数评估模型

doi:10.11959/j.issn.1000-0801.2019045

Abstract

Abstract:

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

CLC Number:

TK323

Xiaowen SU,Chaofei LIU,Zhiwei WANG,Hao ZHANG. Boiler excess air coefficient model based on the large data analysis[J]. Telecommunications Science, 2019, 35(3): 147-152.

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References 10

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R	R²	调整R²	标准估计的误差
0.84	0.706	0.706	0.026 963 27

模型	B	标准误差	β	T	显著性
常量	1.452	0.002		757.160	0
送风机挡板开度	0.004	0	0.783	36.201	0
一次风机挡板开度	0.001	0	0.133	12.847	0
给水流量	-0.001	0	-1.676	-69.708	0

	数量	百分比	标准差	最大值	最小值	中位数	平均值
绝对误差	17 442		0.049 7	0.349	-0.154 5	0.008 2	-5.1×10^-16
正误差	10 363	59.42%	0.026 8	0.349	0.000 01	0.027 4	0.032 0
负误差	7 079	40.58%	0.036 5	-2.3×10^-6	-0.154 5	-0.041 4	-0.046 9

R	R²	调整R²	标准估计的误差
0.063	0.004	0.004	847.802 8

编号	BMCR	70% BMCR	50% BMCR	最低稳燃负荷
省煤器出口氧量	1.19	1.26	1.38	1.41
给水流量	1 081	691.19	453.5	394.81

Boiler excess air coefficient model based on the large data analysis

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区域	样本个数/个
-10～-5	12 467
-5～0	4 833
0～10	142