The expert optimization control system of DFMC kiln mill adopts MPC model predictive control technology, uses advanced control algorithm to seek the coupling mechanism between various variables in the cement production process, constructs predictive control model, and achieves optimal control through reciprocating prediction feedback correction rolling optimization. It is specialized in controlling two grinding and one burning of cement production line Expert optimization control system for denitration and waste heat power generation.

Core value core value points:

1. Improve automation level: improve the automation level of cement production line and greatly reduce the labor intensity of operators.

2. Energy saving and consumption reduction: improve the control quality of the production process, reduce the fluctuation of key process variables, and significantly reduce the energy consumption of cement production.

3. Improve product quality: improve the quality of clinker and cement by optimizing and controlling the quality of key links.

4. Increasing 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 operation rate of the production line, so as to achieve the purpose of increasing production and efficiency.

Kiln grinding expert optimization control system is an intelligent control system specialized in controlling two grinding and one burning, denitration and waste heat power generation of cement production line.

 The kiln grinding expert optimization control system adopts model predictive control (MPC) technology, multivariable closed-loop automatic model identification technology and soft sensing technology, and integrates advanced technologies such as neural network, fuzzy control, predictive control, automatic machine learning and artificial intelligence Automatically optimize and control the important parameters related to the quality impact, improve the control quality of the production process, reduce the fluctuation of process variables, and optimize the combustion and product quality at the same time, so as to maximize the benefits of the enterprise's production resources and achieve the goal of energy conservation and emission reduction.

 The kiln grinding expert optimization control system is mainly divided into two modules: model prediction control module and optimization module. The model predictive control module can predict the changes of the controlled variable in the future period through the identified model, and timely adjust the control strategy according to the deviation of the variable to the set value in the future, so that the controlled variable can be close to the set point, so as to improve the control quality of the process.

l  Stabilize production and reduce fluctuations of key process variables

l  It can reduce the fluctuation of key variables by about 50%

l  Reduce production energy consumption

l  It can reduce the energy consumption per unit quality product by 1% - 2% per month

l  Reduce coal consumption of rotary kiln system

l  Reduce coal consumption per unit clinker by about 0.5% - 2%

l  Improve the quality of clinker products

l  Reduce the unqualified rate of clinker and reduce the fluctuation of free calcium by 5% - 10%

Model predictive control of cement production line in:

Pingyi Zhonglian Cement Co., Ltd

Kezhou Qingsong Cement Co., Ltd

Qingsong Jianhua Aksu Cement Branch

Hami Qingsong Building Materials Co., Ltd

Yili Qingsong Nangang building materials Co., Ltd

Hetian Qingsong Building Materials Co., Ltd