Parameter setting system and method for intelligent coal dressing density controller based on end-side cloud cooperation

Through the intelligent coal-treated density controller parameter tuning system of end-edge cloud collaboration, digital twin model and edge computing technology are used to solve the problem of degradation of control effects caused by experience and dynamic characteristics in the existing technology, and achieve high accuracy and stability of coal-treated density control.

CN119739096AActive Publication Date: 2025-04-01NORTHEASTERN UNIV CHINA
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Patent Information

Application Number
CN202411250031.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-06
Publication Date
2025-04-01
Estimated Expiration
2044-09-06

AI Technical Summary

Technical Problem

The existing coal density control methods rely on the experience of engineers, are time-consuming and labor-intensive, and due to changes in dynamic characteristics of industrial processes, the control effect of the PID controller cannot be maintained optimal for a long time.

Method used

The intelligent coal-treatment density controller parameter tuning system with end-edge cloud collaboration is adopted to achieve closed-loop optimization of data acquisition, processing, model training and parameter tuning through collaboration between the end-side, edge and cloud side. The system includes a PLC field control system, a digital twin model and an edge server, and uses cloud data storage and artificial intelligence computing platform to update and correct model parameters in real time.

Benefits of technology

The intelligence level and response speed of the control system are improved, and the automatic adjustment and optimization of the parameters of the coal preparation density controller are realized, which reduces the disadvantages of manual intervention and relying on experience parameter adjustment, and improves control accuracy and stability.

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Abstract

The invention discloses a parameter setting system and method for an intelligent coal preparation density controller based on end-side cloud collaboration, which intelligently realizes the original manual parameter adjustment mode depending on the experience of engineers, introduces edge equipment, an industrial cloud server and an edge system, realizes automatic parameter correction in the operation process of the control system, and improves the accuracy of parameter adjustment. The problem of control performance reduction caused by dynamic characteristic change of a traditional parameter setting method is avoided; operators are allowed to manually modify parameters or automatically update control parameters according to on-site conditions, the system maintenance work intensity of personnel is reduced, and the system operation stability is improved. Because the system collects full-amount process data, the number twin model is updated in real time by using the strong storage capability and computing power of the cloud, and the model accuracy is improved. The system is independent of a control system of a factory, is convenient to deploy, and does not introduce a security problem.
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