Video Image Based Monitoring Method for Operation Status of Internet of Things Network Equipment

Conventional monitoring methods for the operation status of Internet of Things network equipment mainly use CBM (condition based maintenance) to obtain the early symptom characteristics of equipment, which is vulnerable to the impact of dynamic operation instructions, resulting in abnormal monitoring and early warning. Therefore, a video image-based IoT network device operational status monitoring method is designed. That is to say, the video image technology is used to process the monitoring information of equipment operation status. Combined with fuzzy logic, the monitoring framework of equipment operation status of the Internet of Things is constructed, and the monitoring algorithm of equipment operation status of the Internet of Things is designed, thus realizing the monitoring of equipment operation status of the Internet of Things. The experimental results show that the designed method for monitoring the operation status of Internet of Things network equipment based on video images has a good monitoring effect, can effectively warn, has reliability, and has certain application value, and has made certain contributions to improving the operation security of Internet of Things network equipment.