Coal quality point cloud boundary point data processing method for coal preparation plant silo and related components

By collecting and processing coal quality point cloud data from coal preparation plant silos using 3D millimeter-wave radar level gauges, calculating normal direction, fitting center coordinates, and interpolating data, the blind zone problem of radar level gauges is solved, and more comprehensive coal quality point cloud data collection and processing is achieved.

CN122089559BActive Publication Date: 2026-07-03PINGDINGSHAN ZHONGXUAN AUTOMATIC CONTROL SYST
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Patent Information

Application Number
CN202610542248.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-23
Publication Date
2026-07-03
Estimated Expiration
2046-04-23

AI Technical Summary

Technical Problem

In coal preparation plant silos, radar level gauges have difficulty distinguishing between the silo sidewalls and the curved surfaces of coal, resulting in a reduced data collection range and blind spots. This makes it impossible to fully and accurately reflect the coal distribution within the silo, thus affecting production decisions.

Method used

The original point set is collected using a 3D millimeter-wave radar level gauge. The normal direction is calculated, the first and second boundary points are determined, the center coordinates are fitted by linear least squares method, projection and scaling are performed, interpolation points are used to supplement the data, the z value is corrected, and the target point set is generated.

Benefits of technology

It effectively compensates for and fills the blind spots in coal quality point cloud data in the silo, improves the comprehensiveness and accuracy of the data, and supports more precise production decisions.

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Abstract

The application relates to a coal quality point cloud boundary point data processing method for a coal preparation plant and related components, and applies to the technical field of data processing of the coal preparation plant. The method comprises the following steps: obtaining an original point set; calculating the normal direction of each original point in the original point set; determining a first boundary point and a second boundary point based on the normal direction, the distance between each original point and a preset point spacing; fitting the xy plane coordinates of the first boundary point by using a linear least square method and a standard equation of a circle, and calculating the center coordinates of the circle; scaling the first boundary point based on the center coordinates of the circle to determine a projection point; determining an interpolation point based on the projection point, the first boundary point and the preset point spacing; correcting the z value of the projection point and the interpolation point based on the first boundary point and the second boundary point; and determining a target point set based on the original point set, the corrected projection point and the corrected interpolation point. The application has the effect of improving the comprehensiveness and accuracy of coal quality point cloud data.
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