Memory attitude monitoring method for hydraulic support based on grey theory

Abstract

Existing hydraulic support monitoring methods can only monitor single support without fusion analysis of monitoring data of united hydraulic supports and have low utilization ratio of monitoring data. For above problems, a memory attitude monitoring method for hydraulic support based on grey theory was proposed. The method calculates predictive value of related memory attitude parameters according to monitored value of memory attitude of hydraulic support by use of grey theory. It can predict attitude of the next hydraulic support according to actual attitude of previous hydraulic supports in the same monitoring cycle, so as to realize horizontal cycle monitoring, and also predict attitude of a hydraulic support in the next monitoring cycle according to actual attitude of the hydraulic support in the last few cycles, so as to realize longitudinal cycle monitoring. The support height of hydraulic support monitoring test results show that predictive value of memory attitude of hydraulic support is similar to the actual value, which verifies the validity of the method.

Keywords

• coal mining
• hydraulic support
• memory attitude
• horizontal cycle monitoring
• longitudinal cycle monitoring
• grey theory