Equipment failures can cause serious production accidents and pose a serious threat to business, society, and personal safety. Therefore, it is important to analyze the state of the IoT device and reasonablely process. Aiming at the large and complex data of IoT devices, this study proposes a massive data processing architecture for IoT devices. At the same time, combined with Dask distributed computing framework, a distributed device state analysis and processing system for IoT based on Hadoop environment is designed. The system mainly includes three modules of data service, data analysis, and data storage, and through reasonable node scheduling scheme, the efficient operation of the algorithm and the stability of distributed computing are guaranteed. The system operation shows that it can effectively process large quantities of data and accurately predict the status of the equipment in real time to meet the practical application in the industrial intelligent manufacturing process.