摘要:
针对当前我国煤矿智能工作面建设存在的开采煤层厚度薄、普氏系数大、截割轨迹以记忆截割为主、对复杂地质条件适应性较差等问题，结合煤炭企业现场生产的大量经验和应用需求，提出了智能化矿山的层级化设计理念，将智能化矿山系统划分成感知控制层、通信层、数据层、应用层4个层级，明确了各层级的作用和建设内容，各层级彼此独立、相互依托。探讨了智能化矿山建设的关键技术，指出多源传感器体系搭建、井下复杂条件信息传输、智能化矿山云平台开发、安全生产系统构建、矿井设备智能联动控制、矿井智能应急处置等关键技术是智能化矿山建设的根本，尤其是云平台开发和安全生产系统构建是智能化矿山建设的核心。针对传统观念、资金筹集、人才队伍、技术难题等方面存在的问题，提出了相应的应对策略，倡导智能化矿山建设宜遵循“统筹兼顾、主次分明、模块建设、分步实施、基地示范”的建设思路，为煤矿智能化建设提供了参考。
Abstract:
In view of existing problems in construction of intelligent working face of coal mine in China, such as thin thickness of mining coal seam, large Platts coefficient of mining coal seam, main cutting track is memory cutting, and poor adaptability to complex geological conditions, a hierarchical design concept of intelligent mine was put forward combining with a wealth of experience and application requirements of site production of coal enterprises. Intelligent mine system was divided into four levels, namely perception control layer, communication layer, data layer and application layer. At the same time, the functions and construction contents of each level were defined, each level is independent and relies on each other. The key technologies of intelligent mine construction was discussed, it is pointed out that many key technologies, such as multi-source sensor system construction, underground complex condition information transmission, intelligent mine cloud platform development, safety production system construction, intelligent linkage control of mine equipment, intelligent mine emergency response and so on, are the foundation of intelligent mine construction. In particular, cloud platform development and safety production system construction are the core of intelligent mine construction. In view of the traditional concept, fund raising, talent team and technical problems, the corresponding countermeasures were put forward. It is suggested that the construction of intelligent mine should follow the construction idea of "overall consideration, clear priorities, module construction, step-by-step implementation, base demonstration", which provides a reference for the construction of intelligent mine.
百度学术
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