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Figurę 11. Coal blending guide by Online Coal ąuality Analyzer in Anjialing coal preparation plant, Figurę of ash, sulfur control results.

It can be seen from Figurę 11, control results of Ping2 and Ping7 coaTs high calorific value are fairly stable.

3) CQM detection accuracy:

Beginning in December 2010, after the CQM commissioning, we tested a lot of data. There are 285 Ping2 coal data, 225 Ping7 coal data. Through the analysis of these data, we obtained the measurement accuracy of CQM.

Sheet 3. CQM Accuracy (comparison with lab data)

Coal Type	Total Moisture		Ash		Sulfur		kcal/kg
	Ave. Bias	Std. Error	Ave. Bias	Std. Error	Ave. Bias	Std. Error	Ave. Bias	Std. Error
No. 2 Ping	0.06	0.78	0.74	0.96	0.10	0.10	-119	91
No. 7 Ping	0.10	0.72	0.20	1.11	0.09	0.11	-57	111

(4) The effect of Online Coal Analyzer CQM Application

The Application of the online Coal Analyzer in the Coal Loading Station’s blending has improved the coal ąuality pass-rate greatly, and the mine’s test results are close to the port’s results.

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