Abstract: According to the characteristics of low transmission efficiency and poor sharing of mine safety production testing 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 multisensor 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 developed 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 detection equipment,and can realize real-time data transmission and sharing,which is conducive to realizing real-time mine safety detection.