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Expert optimization solutions
A complete set of solutions covering complete functions of warehouse management, communication solutions, handheld devices and integrated middleware
Scheme description
Nanjing Kaisheng intelligent expert optimization control system (kisen-e0)), aiming at the complex and changeable characteristics of cement process, combines model predictive control technology, fuzzy logic control technology, neural network control technology, clustering technology and other advanced control technologies in the industry, which can effectively improve the safety, stability and efficiency of cement production equipment.
Control scheme
Pipe mill load control
Rolling mill material flow valve control
Grinding aid dosing control
Optimal controller
Weight control of roller press steady flow bin
Cement mill
Optimal control of clinker firing
System storm optimal control
Kiln stable feeding control
Optimal control of clinker cooling
Out of stock optimal control
Optimal control of grinding system
Finished product quality control
System storm optimal control
Work current control
Outlet temperature of powder concentrator
Total feed controller
Speed control of powder concentrator
Kiln tail sub meter speed control
Sewage intelligent control
Active power intelligent regulation
Intelligent control of vacuum regulation
Reactive power intelligent regulation
Intelligent grid connection
Firing system
Grinding system
Raw mill roller press grinding
Waste heat power generation
Online data optimization scheme (RTO)
The online data optimization scheme combines the relevant knowledge of cement production process and a intelligence, provides various functions such as data analysis and preprocessing, soft measurement, working condition identification and control model parameter estimation, and endows cement production with the excellent ability of high efficiency, high quality and low energy consumption.
Network architecture
The system can adopt a flexible centralized + decentralized
deployment mode. Each basic service can be directly deployed
on the same server. If the machine is rich, it can also be deployed
separately according to actual needs.
Service process
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Automatic input and stable production
On site optimization and commissioning
Hardware installation and system deployment
Customize the overall optimization scheme and objectives
Factory survey
Investment benefit
After APC is put into operation, APC controller is put into operation automatically on average
The time ratio shall not be less than 95%,
Realize the automatic coordinated control of kiln system and grinding system
Automatic adjustment of load change;
The time ratio shall not be less than 95%,
Realize the automatic coordinated
Automatic adjustment of load change;
Increase investment rate
Eliminate the operation deviation caused by shift handover;
Reduce the fluctuation of key process parameters and improve system operation
Stability and safety of;
Reduce the fluctuation of key
Stability and safety of;
Improve the quality of life
Optimize the process control index, improve the unit capacity and reduce the unit energy consumption of the unit
Optimize energy saving
The multi model fusion algorithm can take into account the working condition drift caused by complex production factors and improve the quality prediction effect of cement products
Improve prediction effect
Customer presentation
IOS version
Android version
Pay attention to wechat
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