Campus behavior IoT monitoring is an important function of smart campus and also a core technology of smart campus. However, the monitoring effect of the current method is not ideal and cannot meet the accuracy requirements. Therefore, a campus behavior IoT monitoring method based on scenario awareness data fusion is proposed. The Internet of Things technology is used to sense and transmit the campus behavior data, unify the original data format, and standardize it with the Min Max normalization method. Through the identification and elimination of abnormal data, the Internet of Things data is cleaned. Chaotic genetic algorithm is used to fill the Internet of Things data, and regularized regression is used to eliminate high-frequency components of the data, the technology of scene perception data fusion is used to identify bad behaviors on campus, and the Internet of Things monitoring of campus behaviors based on scene perception data fusion is realized. The experiment proves that the application of the design method improves the monitoring accuracy of the Internet of Things on campus behavior, and has a good monitoring effect.