Research on intelligent solid backfilling mining method in coal mine
-
Graphical Abstract
-
Abstract
Solid backfilling mining method has some significant technical advantages in solid waste treatment and strata control, but its efficiency is lower than traditional fully mechanized mining. Based on three requirements of backfilling technology upgrading, industry development and mine intelligent construction, this paper aimed at the key scientific problems such as mechanism interference state discrimination, intelligent perception of backfilling parameters, automatic organization of mining and backfilling process, etc, and studied the intelligent solid backfilling mining method in coal mines. The concept, characteristics and difficulties of intelligent solid backfilling mining were given. Combined with the mining geological conditions, the static size parameters of the backfilling equipment mechanism and the dynamic trajectory parameters in the operation process, the typical interference state assessment and demodulation equation of the mechanism in the backfilling process were constructed, and the interference state regulation mechanism of the backfilling equipment mechanism was formed. The selfperception principle of mining and backfilling process parameters was clarified. The selfsensing method of mining and backfilling process parameters was formed based on three modules of data intelligent sensing module, interference state analysis and recognition module, and position adjustment process execution module. The automatic organization strategy of mining and backfilling process flow was proposed, and the solid intelligent backfilling and backfilling process was designed, which was mainly composed of perception process, recognition process, posture adjustment process, and mining and backfilling response execution process. This paper expounded the intelligent transformation method of multihole bottom discharge scraper conveyor and backfilling hydraulic support, designed solid intelligent backfilling control program and system, and applied Keil5 software for programming. The research can realize the intelligent recognition and independent adjustment of interinstitutional interference state, and the cooperative operation of coal mining and backfilling, and reduce the manual labor required in the process. Also, it can promote the improvement of backfilling efficiency, the increase of backfilling surface productivity, and the improvement of mining efficiency, and provide a theoretical guidance for the research, development and application of solid intelligent backfilling technology.
-
-