Four-column type hydraulic support working condition evaluation method based on clustering algorithm
The invention discloses a four-column type hydraulic support working condition evaluation method based on a clustering algorithm, and relates to the technical field of coal mine working face equipment monitoring and automatic control. Pressure data of front and rear stand columns of the hydraulic su...
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Main Authors | , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
08.10.2021
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a four-column type hydraulic support working condition evaluation method based on a clustering algorithm, and relates to the technical field of coal mine working face equipment monitoring and automatic control. Pressure data of front and rear stand columns of the hydraulic support are collected, pressure combinations of the front and rear stand columns of the support are clustered by adopting a clustering analysis algorithm, and pressure clustering results of the front and rear stand columns of the support are subjected to regional division by combining the loading condition of a top beam of the hydraulic support, so that different support working conditions are obtained; and obtaining the percentage condition of the bracket pressure data volume in the total amount of the acquired data under different working conditions so as to evaluate the working state of the hydraulic bracket. According to the method, variables needing to be measured in advance are few, the working condition of the |
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Bibliography: | Application Number: CN202110883133 |