Industrial cloud computing is considered to be an essential technology for future industrial enterprises. Under the influence of Industry 4.0 and Industrial Internet concepts, industrial cloud computing related technologies are becoming a hot topic in recent research. How to observe and analyze the intermediate and final results of industrial cloud computing is the first problem to be solved in this research field. This paper proposes a new industrial PaaS (Platform-as-a-Service) architecture, which has a very important relationship with the visualization of industrial cloud computing, and it deploys a large number of structurally symmetric Data Engine computing units. Configuration and reusable methods are used in this paper to form a visualization technical framework and establish a data mapping relationship with the Data Engine, which significantly improves the efficiency of visualization application development. Finally, we validated the technology using an industrial internet test bed. The experimental results show that this visualization framework technology can provide industrial users with an advanced industrial application development environment, and effective realtime monitoring of industrial cloud computing through the internet.