Research and application of workflow engine based on probabilistic timed automata of industrial Internet of things

The application of workflow in office OA has gradually matured, but it needs to be more real-time and random in the field of industrial Internet of things. The traditional modeling methods and process design can not meet the industrial process scenarios in industrial Internet of things. Therefore, this paper takes the application of workflow in the industrial Internet of things as the background, and aims to realize the workflow engine platform of probabilistic timed automata based on the industrial Internet of things. In this paper, through the requirements analysis, based on probabilistic timed automata to establish the process model based on industrial Internet of things, establish workflow engine, design the overall idea of workflow system platform, we adopt multi module structure and Spring Boot + MyBatis + Apache Shiro + Redis + Flowable + Beetl and other mainstream technologies to form a complete set of workflow engine platform. It can meet the requirements of industrial process and make the industrial process more efficient.