A long-distance slag conveying numerical self-adaptive control method based on CFD

By deploying a sensor cluster in the slag conveying pipeline, constructing a three-dimensional physical model and performing CFD simulation, the problems of insufficient simulation accuracy and inaccurate fault diagnosis in the existing technology have been solved. This has enabled high reliability design and improved timeliness of fault early warning, thus promoting the intelligent upgrading of the slag conveying system.

CN120848209BActive Publication Date: 2026-03-24LIAONING GUOYUAN ELECTRIC POWER TECH CO LTD
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Patent Information

Application Number
CN202511074286.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-01
Publication Date
2026-03-24
Estimated Expiration
2045-08-01

AI Technical Summary

Technical Problem

Existing CFD models have limited simulation accuracy in long-distance slag conveying systems, making it difficult to support high-reliability designs. The lack of multi-physics data fusion mechanisms makes it impossible to achieve accurate fault diagnosis, and the lack of dynamic adaptive analysis capabilities results in insufficient timeliness of fault warning and control strategies.

Method used

A sensor cluster is deployed at the core monitoring location of the slag conveying pipeline to collect real-time data, construct a three-dimensional physical model and perform mesh generation, and construct a CFD dynamic simulation system by combining mathematical models and dynamic boundary conditions. The correlation between features and fault types is mined through weight matrix to generate adaptive control strategies.

Benefits of technology

It has improved simulation accuracy, achieved high reliability design, accurately diagnosed faults, enhanced the timeliness of fault early warning and control, improved operational efficiency and safety, and promoted the intelligent upgrading of slag conveying systems.

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Abstract

The application provides a long-distance slag conveying numerical self-adaptive control method based on CFD, relates to the technical field of slag conveying pipeline analysis, and comprises the following steps: constructing a pipeline real-time data set; generating a calculation grid; combining a mathematical model and a dynamic boundary condition to construct a CFD dynamic simulation system of a pneumatic conveying pipeline; performing solution calculation on the CFD dynamic simulation system to obtain a flow parameter distribution model in the slag conveying pipeline; performing feature extraction on the pipeline real-time data set and the flow parameter distribution model, mining the correlation between features and fault types through a weight matrix and a cross-term weight matrix, obtaining a multi-modal fault diagnosis judgment result, and generating a slag conveying pipeline self-adaptive control strategy. The technical problems that the simulation accuracy is limited, it is difficult to support high-reliability design, a multi-physical field data fusion mechanism is missing, accurate fault diagnosis cannot be achieved, dynamic self-adaptive analysis capability is lacked, and the timeliness of fault early warning and regulation strategies is insufficient in the prior art are solved.
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