In view of the application of augmented reality (AR) technology in the industrial field, an augmented reality system model used in the industrial indoor environment is proposed. The model is mainly for the industry that will not change dramatically in a short period of time in the indoor environment. First, the characteristic points are detected by the Harris detection algorithm on the environmental images collected by the HMD, namely the helmet-mounted display, then the program compares the images to add relevant annotations at the feature points, finally displays the real image containing the annotations on the head-mounted display. This paper mainly introduces the specific steps and implementation methods of the model. The Harris corner detection algorithm has the characteristics of dealing with the change of light intensity and image rotation, thus increasing the robustness of the whole model. The model is applied to the wind turbine nacelle internal environment to verify the feature point detection section according to the feature points by many experimental threshold adjustment feature points in 20, in the part of image matching, more than 85%, the experimental results show that the model achieves the function of augmented reality.