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Based on analyzing the contents of safety early-warning system for the working face in mine and according to the production characteristic of coal mine in China, combining the analytical hierarchy process and neural network BP algorithm. The safety early-warning system for the working face in mine was also designed based on the combinatorial algorithm. The system was applied to estimate support capacity...
If the complicated system wants to be good running, it should have a stable initial condition. The function of checking hidden danger information system of the coal mine's production in the accident control becomes more and more important. Taking tunneling waking face, we established the checking hidden danger information flow by stages, based on systems' characteristics: Initial condition dependence,...
Dispatch and command center is the core sector of coal mine safety, production and management and its core functions is information processing and exchange. Through analysis the dispatching information flow and on the basis of positive feedback closed-loop management system theory, create a dispatching model by building PFS operating base, distinguish dispatching information feedback category, optimizing...
Shotcrete operation in coal mine face will produce a large number of cement dust. One of the main dust production equipments is concrete spraying machine. In order to decrease harm effectively from cement dusts generated in the coal mine face. Dust removal technology of concrete spraying machine is researched in the paper, and a new dust removal system is developed. According to producing cement dust...
The production of coal mine is a very large, complex and dangerous system .In this paper, we analyzed the influence factors of safety in coal mine production. According to the shortage of traditional coal mine safety assessment methods, we took each factor that affects coal mine security as an agent and used the multi-agent technology to investigate. For each agent is incomplete for an overall assessment...
Reinforcement learning is an algorithm without model which is learning what to do--how to map situations to actions-so as to maximize a numerical reward signal. Reinforcement learning provides an available method to the systems, which are very difficult to build up accurate models around complex environment. But now many practical problems demand a maximum reward with not much cost (expense). For...
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