Distributed power storage and converter system health monitoring Internet of Things under blockchain.

• Introduce development history and application scenarios of IoMT. • Discuss data security issues in IoMT and propose corresponding measures. • Build an artificial intelligence-IoMT system with high automation and accuracy. • Use data integrity verification and tampering prevention to test data integrity. This study to solve the information storage problem in the current medical system analyzes the privacy and security effects of the blockchain (BC) in the Internet of Medical Things (IoMT) and accurately predicts the health status of IoMT users. First, a microgrid is designed to supply power to BC, and then BC is applied to IoMT so that medical data can be stored safely and secure information can be shared. Then, deep learning is used to predict and analyze the characteristics of users' health data. Besides, the IoMT model under BC and improved AlexNet are constructed. Finally, the model is evaluated based on an example. According to the results, the calculation overhead of the model keeps stable at 0.13 s, and the usage of central processing unit is always lower than 17.62%. Regarding data transmission security, the average delay of the model reported keeps stable at 350 ms, and the area under the characteristic curve of receiver operating is 0.9217. This algorithm can accurately predict the user's physiological health. In this study, a system with high model efficiency and superior performance is created. This work is of significance for the intelligent development and secure information storage in the medical field and contribute to the development of the medical industry. [ABSTRACT FROM AUTHOR]