针对矿井安全生产检测数据传输效率低下和共享性差的特点,综合考虑开发成本与工作环境要求,基于CAN(Controller Area Network)和REST(Representational State Transfer)物联网技术提出了智能矿山安全检测方法,设计了矿山安全检测判别程序,采用最大熵模型算法开发了数据信息预警程序.结合CAN总线技术,将多传感器信息进行有机融合并进行安全数据检测,将井下传感器设备相关信息经过判断分析后传输至总机.将所提安全检测方法进行了系统开发,并在淮北某矿进行了应用.结果表明:基于CAN和REST物联网技术的安全检测方法能够实现多点测量,并可随机增减检测设备,可实现数据实时传输和共享,有助于实现矿山安全实时检测.
Development of Intelligent Mine Safety Inspection System Based on CAN and REST Internet of Things Technique
According to the characteristics of low transmission efficiency and poor sharing of mine safety production tes-ting data,comprehensive consideration of development cost and working environment requirements,Based on CAN(Controller Area Network)and REST(Representational State Transfer)Internet of Things technqiues,this paper proposes an intelligent mine safety monitoring method,and designs a mine safety detection and discrimination program.The data information early warning program is developed by using the maximum entropy model algorithm.Combined with CAN bus technology,the multi-sensor information is organically integrated and safety data detection is carried out,and the relevant information of downhole sensor equipment is transmitted to the switchboard after judgment and analysis.The proposed safety monitoring method is de-veloped systematically and applied in a mine in Huaibei.The results show that the safety detection method based on CAN and REST Internet of Things techniques can realize multi-point measurement,and can immediately increase or decrease the detec-tion equipment,and can realize real-time data transmission and sharing,which is conducive to realizing real-time mine safety detection.
Internet of Thingsintelligent minesafety detectionmaximum entropy modelCAN
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