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In the process of heterogeneous sensor data intrusion risk identification, the collected heterogeneous sensor data is not fused, which leads to the poor integrity of data intrusion risk identification. Therefore, this paper introduces the Internet of things technology and proposes a new method of heterogeneous sensor data intrusion risk identification.According to the composition level of the Internet of things, build the structure model of the Internet of things. According to different types of network intrusion attacks, set up risk type identification standards. Under the structure model of the Internet of things, collect heterogeneous sensor data and get the fusion processing results of the initial data.From the two aspects of sensor data structure and data time-domain changes, extract the characteristics of heterogeneous sensor data, and calculate the intrusion risk value. Finally, the visual recognition results of heterogeneous sensor data intrusion risk level and type are output.The experimental results show that the risk value identification error of the design identification method is reduced by 0.015, the accuracy of risk type identification is increased by 1.6%, and the response time of the risk identification method is shorter, that is, the optimized intrusion risk identification method has more advantages in accuracy and timeliness.