The kiln & mill expert control system adopts model predictive control technology, uses advanced control algorithms to seek the coupling mechanism between various variables of cement production process. The system constructs predictive control model, and achieves optimal control through reciprocal prediction-feedback correction-rolling optimization, which is an expert optimal control system specializing in controlling mills, kiln, de-nitrification and waste heat power generation.

1、Improve automation level of cement production line and significantly reduce operator labor intensity.

2、Energy saving and consumption reduction: The system improves the control quality of production process, reduces the fluctuation of key process variables and the energy consumption significantly.

3、Improve the quality of clinker and cement by optimizing the quality control of key links.

4、Increase production and efficiency: The system improves the stability of key process variables in the process flow, effectively reduces the production accident rate and improves the production line operation rate, thus achieving the purpose of increasing production and efficiency.

Stabilizes production and reduces fluctuations in key process variables

Reduces fluctuations in key variables by approximately 50.0%

Reduce production energy consumption

Reduce energy consumption by approx. 1.0-2.0%

Reduce coal consumption of rotary kiln system

Reduces coal consumption by about 0.5% ~ 2.0%

Improve clinker product quality

Reduce the failure rate of clinker, reduce free calcium fluctuation by 5.0% ~10.0%

Pingyi Zhonglian Cement, CUCC

Kezhou Qingsong Cement, Xinjiang Qingsong Building Materials Chemical Group

Akesu Cement, Xinjiang Qingsong Building Materials Chemical Group

Hami plant, Xinjiang Qingsong Building Materials Chemical Group

Yili Nangang plant, Xinjiang Qingsong Building Materials Chemical Group

Hetian plant, Xinjiang Qingsong Building Materials Chemical Group