Research on the Construction Method of “Smart +” Industry Technology Standard System under the Background of Digital Transformation of Traditional Industries

There is a global trend of transformation of traditional industries to digital and intelligent systems with the help of emerging technologies. Thousands of industries have accepted the innovative elements of emerging technologies for transition into digital and intelligent systems. There are several successful cases of applying intelligent technologies, including recurrent neural networks (RNNs), convolutional neural networks (CNNs), and generative adversarial networks (GANs). All these technologies upgrade traditional industries by promoting transformation. This paper aims to refine the experience and achievements to develop the process for a “Smart+” industry and a standard system with the technical methods. This paper also proposes and explores the general method and practical way of developing “Smart+” industry and technical standard system. The results of this study can be applied to other services and production industries during the process of intelligent transformation and planning for a standard system, like smart transportation, smart pipe networks, and smart medical system among several hot fields. This provides us practical tools and routes for domestic and international enterprises, committed to enhance their capabilities for digital governance and improve their intelligent strength for the entire life-cycle of industries, thereby achieving the commanding heights for the “Smart+” industry along with its technical standard system.