Technology of intelligent sensing of longwall shield supports status and roof strata based on massive shield pressure monitoring data

It is of great importance to sense the roof weighting and roof caving in advance and self-evaluate initial re- sistance and working resistance for promoting the safety,efficiency and intelligent mining level in longwall penal. Based on the scientific principles of intelligent sensing of supports-roof status,this paper used the massive data collected by the electro-hydraulic controlled two-leg shield supports,data mining and working cycle analysis technique to extract the characteristic parameters. Then the supporting characteristics of a single support and the load transformation and distri- bution on the longwall panel considering setting pressure, yielding, and shearer’ s cutting, as well as neighboring shields’ advance were investigated. On the basis of in-depth explanation on the temporal-sequence curve of supporting resistance and the indicating relationship between support and surrounding rocks,the intelligent sensing model was constructed. The study concludes that ① the rated working pressure should not be employed as the main indicator for evaluating the loading capacity of hydraulic support. Parameters,such as initial support pressure,rated working resist- ance and safety valve opening characteristics,would co-determine the bearing characteristics and capacity of hydraulic support. ② By analyzing the massive data of support pressure,the goals of intelligent roof disaster warning,support quality evaluation and fault diagnosis can be achieved. ③ The in-depth analysis and utilization of massive monitored pressure data is the foundation to realize intelligent mining goals such as the self-control of hydraulic support pressure and adaptive adjustment of support parameters.