Real-time monitoring method and system for milk powder stirring processing

By using machine vision technology to construct a spatial variation grayscale co-occurrence matrix and dense optical flow field analysis, the problem of difficult monitoring of mixing uniformity during milk powder mixing was solved, real-time identification of mixing dead zones and agglomerations was achieved, and the accuracy of mixing uniformity judgment was improved.

CN120635835AActive Publication Date: 2025-09-12SHAANXI YATAI DAIRY CO LTD
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Patent Information

Application Number
CN202511149057.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-18
Publication Date
2025-09-12
Estimated Expiration
2045-08-18

AI Technical Summary

Technical Problem

Existing technologies make it difficult to achieve real-time and accurate monitoring of mixing uniformity during the milk powder mixing process, especially the insufficient identification of material agglomeration and dead zones with poor fluidity. In addition, existing visual methods are sensitive to changes in lighting and cannot fully characterize the powder texture and dynamic changes.

Method used

Using machine vision methods, by constructing a spatially variable grayscale co-occurrence matrix based on local gradient information and dense optical flow field analysis, combined with the temporal color texture features of information entropy weights, subtle texture differences and particle motion patterns during the stirring process are identified, and a high-dimensional state vector is constructed to determine the mixing state.

Benefits of technology

It realizes real-time and accurate monitoring of the milk powder mixing process, can identify abnormal conditions such as mixing dead zones and agglomeration, and improves the accuracy of judging mixing uniformity and real-time control capabilities.

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Abstract

The invention provides a real-time monitoring method and system for milk powder stirring processing, and the method comprises the steps: collecting a current frame image of a milk powder material in a stirring container, and obtaining a reference frame image of the current frame image before a preset time interval; calculating a space texture feature set, a time sequence color texture feature set and a dynamic flow field feature set of the current frame image; cascading the space texture feature set, the time sequence color texture feature set and the dynamic flow field feature set to obtain a high-dimensional state vector; calculating a mahalanobis distance between the high-dimensional state vector and a target uniform state cluster core in a pre-constructed state space; when the mahalanobis distance is smaller than a first threshold value, it is judged that the current stirring state is uniform mixing; when the mahalanobis distance is greater than a second threshold value, determining an abnormal state; when the Mahalanobis distance is between the first threshold and the second threshold, it is determined that mixing is being performed.
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