As the concept of the Internet of Things (IoT) has become widely recognized, its scope of applications has also expanded. In the industrial field, industry 4.0 representing a new generation of industrial production is an important application area of IoT. The IoT can effectively promote the evolution of industrial production from automation to intelligence, which requires effective and unified remote management and intelligent production equipment. Cloud services provide possibilities for remote monitoring and unified device management. It can be said that the cloud-centric information exchange network can be easily established. However, delays in network transmission and overloading of cloud services can easily occur. This greatly affects the quality of cloud services and the scalability of the system. In this case, IoT Edge is proposed to increase the ability of data analysis and processing on the device side, thereby reducing the workload of the cloud and improving the efficiency of network transmission. In the case of the unstable network, the IoT edge can effectively respond with local storage capacity. In addition, the application of data processing algorithms at the Edge can also effectively monitor the performance of the device, thereby reducing the machine downtime in operation and the expected damage to the device. According to the specific industrial production demands, part of the cloud services can be transferred to the edge to implement data analysis and a certain storage capacity. To realize the application of IoT edge in the industrial field, the first step is to research and study related technologies applied on IoT applications and existing industrial solutions. In addition, the industrial application- the wind turbine use case is analyzed into the operation workflow. In the development phase, by adopting Microsoft Azure cloud platform and services, I established the edge platform of IoT, developed edge intelligence, and implemented functions to meet specific requirements of wind turbine use case. Finally, verification is done to test whether the implemented IoT solution can meet the needs of other areas and explore the future development of IoT Edge.