High-concentration slurry pipeline blockage risk probability analysis and automatic slurry discharge control method

By combining acoustic emission sensor arrays and hidden Markov models, early warning and adaptive anti-clogging of high-concentration slurry pipeline transportation systems are achieved, improving the safety and reliability of the system and avoiding production interruptions and equipment damage.

CN121782522APending Publication Date: 2026-04-03SHANDONG JIKUANG LUNENG COAL POWER CO LTD YANGCHENG COAL MINE
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Patent Information

Application Number
CN202512043018.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-31
Publication Date
2026-04-03

AI Technical Summary

Technical Problem

During the pipeline transportation of high-concentration slurry, existing technologies are unable to achieve early warning and adaptive anti-clogging, leading to production interruptions and safety hazards. Traditional detection methods lack sensitivity, and pulse delivery systems lack the ability to sense the deposition state.

Method used

A multi-point detection is performed using an acoustic emission sensor array. Frequency band energy vectors and event counts are extracted through time-frequency analysis and envelope detection processing. A hidden Markov model is constructed to identify the hidden state of the pipeline, thereby realizing automatic slurry discharge control. High-frequency small pulse, low-frequency large pulse, or frequency sweep pulse mode are selected according to the hidden state.

Benefits of technology

It enables comprehensive perception and early warning of pipeline flow patterns, accurately identifies blockage risks, dynamically adjusts slurry discharge strategies, improves the safety and reliability of the conveying system, and avoids energy waste and equipment wear.

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Abstract

The invention belongs to the technical field of automatic control, and particularly relates to a high-concentration slurry pipeline blockage risk probability analysis and automatic slurry discharge control method. The method comprises the following steps: 1, mounting an acoustic emission sensor array on the outer wall of a pipeline along the axial direction of the high-concentration slurry conveying pipeline, and arranging a plurality of acoustic emission sensors on each measurement section; 2, constructing a pipeline blockage state hidden Markov model, defining four hidden states including a normal flow state, a light deposition state, a serious deposition state and a blockage precursor state, and calculating a pipeline blockage risk probability according to a hidden state identification result; and 3, selecting a corresponding pulse slurry discharge control mode according to the hidden state recognition result. The operation safety and reliability of the high-concentration slurry pipeline conveying system are remarkably improved.
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