Research on optimization of control parameters of gravity shaking table.

ABSTRACT: When image processing and machine vision technology are used to extract features from the image of the ore belt of the shaking table, so as to realize the analysis of the processing indictors and mapping of control parameters. To realize the adaptive optimization of the multiple control parameters of the shaking table, it is necessary to have thorough access to the parameters of the internal and external properties of the gravity shaker, such as internal control parameters and external ore zone characteristics, as well as the processing indicators. In this study, information on the multi-scale characteristics of the zone is obtained through a visual experimental system, and the data-driven model of the separation process is constructed to characterize the relationship between the propertie

SUBMITTER: You K 

PROVIDER: S-EPMC9860046 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature