Remote control and data analysis system based on Alibaba Cloud
Yuyi Zhai, Tao Jiang, Yunjia Liu, Le Wang, Houyong Jiang · Journal of Physics Conference Series · 2021
Abstract In order to eliminate the digital gap between equipment control and production information management, a smart factory remote control and data analysis system based on a cloud-fog hybrid computing model is proposed. Alibaba Cloud Server serves as the cloud computing layer to provide data storage and services, and the Internet of Things platform serves as the fog terminal. The computing layer completes data filtering and system early warning. The system consists of five parts: perception layer, gateway layer, platform layer, application layer and persistence layer. Each layer is designed and analyzed. The dead zone-adaptive swing door trending algorithm is used for data compression, and the system pressure test experiment and the data compression accuracy test experiment are completed. The experimental results show that this system improves the control of data in the production process, reduces the amount of data storage, and has high system compatibility to meet actual production needs.