Development status of industrial Internet

According to the data released by the Ministry of industry and information technology , By the end of this year 8 End of month , Popularization rate of enterprise digital R & D and design tools 、 The numerical control rate of key processes reaches 74.7% and 54.2%, Industrial Internet platforms with certain industry and regional influence exceed 100 home , The total number of connected industrial equipment has reached 7600 Ten thousand units （ set ）.

at present , China's industrial Internet application innovation is increasingly active , Not just steel 、 mechanical 、 The power industry , It also infiltrates traffic 、 Energy etc. 40 Key industries , Form a platform design 、 Intelligent Manufacturing 、 Networked collaboration 、 Personalized customization 、 Service extension 、 Digital management and other application modes , Change the production mode and enterprise form of manufacturing industry .

In industrial manufacturing, discrete manufacturing is in the majority . The production process of discrete manufacturing is usually completed by multiple production processes , Such as automobile manufacturing 、 Aviation parts manufacturing, etc . With the acceleration of informatization , The global discrete manufacturing industry is actively moving towards networking 、 The direction of intelligent transformation . However, there are still many bottlenecks restricting the transformation of discrete manufacturing industry , Such as the diverse and heterogeneous protocols between industrial devices 、 Heterogeneity of data types 、 Industrial site “ Information and data islands ”、 There is no interconnection between devices 、 Lack of real-time data collection and processing , These factors have caused great difficulties for the transformation and upgrading of discrete manufacturing industry .

With the rapid development of industrial Internet , These problems are also easily solved . In the process of transformation , Enterprises use advanced and mature digital technology to digitally transform existing products and services or develop intelligent products and services , Accelerate the innovation of enterprise products and services , Explore new market opportunities , Cultivate new business projects , Expand the business model based on digital platform , So as to increase the market share and operating income of the enterprise , Bring performance return to the enterprise . meanwhile , Enterprises rely on the Internet of things 、 Artificial intelligence 、 Big data new and other digital technologies transform and upgrade their operation processes , Build a decision-making system and control system based on data analysis , Improve the accuracy and timeliness of decision-making , So as to reduce the operating cost of the enterprise 、 Improve operational efficiency , Strengthen the advantages of existing core business , Drive the growth of enterprise profits . Then big data analysis can speed up the enterprise decision-making process , Reduce enterprise response time , Improve the overall operation efficiency of the enterprise . In this way, digital enterprises can effectively use consumer data and production data to optimize their production and decision-making process , Improve production efficiency .

At present , The supply chain end of the industrial Internet is still in its infancy , The platform market has been adopted by Alibaba 、 Large scale enterprises like Huawei occupy , But the solution battlefield that really ultimately serves the enterprise , Due to the high degree of customization of enterprise demand , Service geographical distribution 、 And the technical comprehensive ability is required to be high , The market is not yet mature .