A method and system for adaptive separation and recovery of magnetic particles

By measuring the magnetic field strength and total weight in a magnetic powder mixture, an adaptive separation and recycling feedback control model was constructed, which solved the error problem caused by manual intervention in traditional methods, realized automated and efficient magnetic powder separation and recycling, and improved separation accuracy and production stability.

CN117483099BActive Publication Date: 2026-07-14NANJING ANLEV ELEVATOR LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING ANLEV ELEVATOR LTD
Filing Date
2023-11-01
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Traditional magnetic powder separation methods rely on manual intervention, are easily affected by human error, and cannot adapt to real-time changes in the magnetic powder mixture, resulting in low separation efficiency and unstable recovery results.

Method used

An adaptive separation and recycling feedback control model is constructed by measuring the magnetic field strength and total weight of the mixture. A Hall magnetic sensor and a weight sensor are used for real-time monitoring. By combining multiple linear regression and logistic regression models, the separation and recycling thresholds are automatically adjusted to achieve automated separation and recycling.

Benefits of technology

It improves the accuracy of magnetic powder separation and recovery, reduces human error, ensures the stability of the production process, and lowers operating costs.

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Abstract

The present application relates to the technical field of metal separation and recovery, and particularly relates to a magnetic powder self-adaptive separation and recovery method and system, which comprises the following steps: measuring the magnetic field intensity in the mixture to obtain a magnetic field intensity measurement result; detecting the total weight of the mixture to obtain a weight detection result; setting the magnetic field intensity threshold value and the total weight threshold value of the mixture, and taking the two threshold values as preset standard values; constructing a separation and recovery feedback control model, and automatically starting the separation device to separate when the measurement result meets the model setting requirements; and using a conveying device to recover the separated magnetic powder. Through the present application, the problems existing in the traditional method, such as the difficulty in dealing with different mixture characteristics and the need for manual adjustment of the separation and recovery threshold value, are effectively solved. By measuring the magnetic field intensity and the total weight in the mixture and combining the self-adaptive control model, real-time automatic magnetic powder separation and recovery are realized, and the accuracy of separation and recovery is improved.
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