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Expert optimization system
Based on advanced control theory and artificial intelligence technology, combi-ned with many years of process design in cement industry experience in autom-atic control, production commissioning and other aspects, and build an expert optimization system platform with higher applicability
Comprehensive introduction
Main advantages and innovations
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The upper layer adopts relevant algorithms of artificial intelligence to analyze the overall working conditions and establish a global optimization model. After EO is put into operation, it further optimizes and adjusts the control target value. The lower layer adopts advanced control algorithms such as DMC, GPC and FLC to dynamically optimize and control the target value of the upper layer, which is more suitable for multi working conditions, multi variables, strong coupling, large time delay, ... -
It not only encapsulates common control algorithms and machine learning algorithms, but also supports user-defined algorithms, supports the expansion of lua and python scripts, and can seamlessly combine expert experience with algorithm models. The latest deep learning and reinforcement learning theory can also be applied to the system to realize special control functions.
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The system has a complete control system, including database, communication, data acquisition, archiving, controller and other background services, as well as configuration tools such as client, compiler, debugger and modeling, which is convenient for users to observe trends, monitor services, write scripts and other operations.
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The off-line data analysis tool is used to clean the original data, eliminate bad values, filter, correlation analysis, data statistics and other basic operations and modeling and prediction data analysis functions.
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Construction objectives and benefits
target
Stabilize the operation conditions of main process equipment and improve the
stability and safety of cement production line;
Stabilize and improve the hourly output and quality of products, and reduce
Stabilize and improve the hourly output and quality of products, and reduce
the standard deviation of quality;
Reduce the energy consumption per unit product of pulverized coal, raw meal,
Reduce the energy consumption per unit product of pulverized coal, raw meal,
clinker and cement;
Realize the automatic operation of production process control and ensure the
Realize the automatic operation of production process control and ensure the
consistency of production indicators;
Reduction of clinker standard coal consumption
%
≥
.
Power consumption per ton of clinker decreased
%
≥
.
benefit
Power consumption per ton of raw meal decreased
%
≥
.
Power consumption per ton of cement decreased (or comprehensive power consumption of cement decreased)
%
≥
.
Online operation rate of expert control system
Reduce the fluctuation of mass (free calcium)
%
≥
%
≥
classic case
IOS version
Android version
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