Multi entity monitoring decision support system and method for downhole entironment

Abstract

The invention relates to an underground intelligent control system, particularly an underground environment multi-cognition solid monitoring decision support system and the method thereof, which can automatically detect the underground environment, adapt the underground environment integrally and achieve the effects of underground environment optimization, management optimization and personnel optimization. The underground environment multi-cognition solid monitoring decision support system comprises an operation management station, an exchanger, a system interface, an area controller, a fire-control monitoring station, a security monitoring station, an automatic control cabinet, a fire-control device and a security device. Compared with the conventional intelligent system, the underground environment multi-cognition solid monitoring decision support system as the multi-cognition solid system and the method thereof are characterized in that: the system and the method are capable of interacting, coordinating and cooperating with other cognition solid systems and humans in various environments; and are applicable to the intelligent control system for the underground construction engineering in the mining enterprises.

Description

technical field [0001] The invention relates to an intelligent control system for underground mines, in particular to a system that can automatically perceive the underground environment, can comprehensively adapt to the underground environment, and achieves the goals of underground environment optimization, management optimization, and personnel optimization. Support systems and methods. Background technique [0002] As a special kind of environmental engineering, the underground environment has a complex structure and a changeable environment, which is related to resources, life and property. With the gradual deepening of the research on the underground environment, etc., the intelligence of underground environmental engineering has begun to attract the attention of researchers. Cognitive control system is the basis for realizing the intelligence of underground buildings. Due to the particularity and complexity, nonlinearity, time-varying, and uncertain characteristics o...

AI Technical Summary

Problems solved by technology

Due to the particularity and complexity, nonlinearity, time-varying, and uncertain characteristics of underground environments, especially large-scale underground environments, as well as the complexity of personnel management and the diversity of interactions, the traditional control theory based on precise data models is facing severe challenges. challenge

The current intelligent control system mostly adopts the rigid architecture of the hierarchical control system. The underground environmental engineering internally connects various subsystems through the network, which only has the most elementary intelligence, basically does not have the characteristics of human intelligence, and has no reasoning and self-learning. , self-adaptation, self-reflection and other capabilities, the current intelligent buildings are only in the state of "smart but not capable"

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