Meitan kexue jishu (Apr 2023)
Planned cutting and collaborative control system for fully-mechanized mining face based on transparent geology
Abstract
With the gradual widespread application of intelligent coal mine, the geological transparency technology has become one of the important technical supports for intelligent mining. Aiming at how to use transparent geological technology achievements to control, equipment an intelligent collaborative mining planning system based on transparent geology was developed. The system is centered on intelligent planning center and mining control center. The intelligent planning center generates cutting templates and control strategies based on geological models. The mining control center collaborates with fully mechanized mining equipment to implement control strategies according to cutting templates. The system consists of two key technologies, namely cutting template planning technology and equipment collaborative control technology. Cutting template planning technology include drum height planning and cutting process planning. Drum height planning uses a forecasting method based on time series trends and machine learning.Cutting process planning defines the characteristics of individual process segments and form a process section planning table. Equipment collaborative control technology include collaborative control of shearer and support and coal flow load collaborative control. Collaborative control of shearer and support proposed a planning strategy, including process adaptation before cutting and real-time adjustment during cutting, so as to ensure the support can complete the automatic follow-up operation. Coal flow load collaborative control proposes a method based on linear programming to adjust the speed of shearers to achieve the balance of coal flow load. The field application and experiments shows that the shearer automatically implements the cutting process according to the plan. The maximum number of manual intervention is only 25 times per cut and the number of manual intervention is significantly reduced by 64.28%—68.75%. The current curve of the conveyor is stable and there is no no-load or stop phenomenon. It has certain reference significance for the further improvement of intelligent mining.
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