Abstract: According to the complexity and uncertainty of the mine gas monitoring and measuring, the perception technology of the internet of things was applied to the mine gas monitoring and measuring system to establish a distribution type star mode wireless sensor network of the perception layer and to study the information fu sion algorithm of the key technologies in the internet of things.According to the different fusion gradation, the fuzzy approximation rule, D-S evidence theory and the fus ion method based on the grey related analysis was applied.The intelligent mobile Sink node was designed and developed to provide a good perception layer solution to the application of the internet of the things for the mine gas monitoring and measuring.The experiments showed that the application of the perception technology in the i nternet of things could improve the information collection efficiency and the system tolerance error capacity and could realize the information complementary and coope rative perception.Thus the monitoring and measuring system would have a less false alarm rate and the missing inspection rate to improve the accuracy of the mine gas monitoring and measuring.