Research on application of edge-cloud combination in coal mine safety based on Azure
With the development of the coal industry and the increasing demand for global energy security and environmental protection the safety of coal mines has attracted much attention. The traditional coal mine monitoring methods have challenges in real-time,accuracy and reliability. Cloud-edge combined computing technology is introduced,using Raspberry Pi device and the Azure IoT Edge for data processing and analysis in realtime,and transmit the data to the Azure cloud platform for monitoring and management. The temperature and humidity information in the mine is monitored by the temperature and humidity sensors,and a cloud-edge combination computing architecture suitable for coal mine safety is proposed. The Kalman filtering algorithm is used at the edge end to reduce the impact of environmental interference on the data. Experimental result verification shows that all the information processed by edge-end can successfully uploaded to the cloud end and the data is visualized.
万方数据
维普
