Recently, the Ministry of Industry and Information Technology officially issued “on accelerating the development of industry to promote Internet” put forward , to enhance the core competence of industrial internet platform, guide platform enhancements 5G, artificial intelligence, blocks chain, augmented reality / virtual reality technology support. Industrial development of the Internet as a new generation platform for the integration of information technology and manufacturing products, is an important part of the new infrastructure is the key carrier support manufacturing resources ubiquitous connection, elasticity of supply and efficient configuration, the cluster will be a new generation of information technology breakthrough, bring new development opportunities for synergy and integration of innovative applications, we are accelerating the formation of new technologies to accelerate the integration, accelerate the cultivation of new models, accelerate the building of new ecological new picture. 5G: open up the industry Internet platform last kilometer bridge 01 Technical Analysis of 5G technology as the core of a new round of general scientific and technological revolution, is to support the economic and social digital, networked, intelligent transformation of key new infrastructure. Compared with WIFI, fiber, and other connection forms Bluetooth, 5G networks that have low latency, high reliability, high bandwidth, high connectivity, can be more effectively meet industrial scenes precision, high stability, high rate applications, integration of innovative applications for the Internet industry to provide important support network. 02 integration scenarios with respect to 3G, 4G and other consumer Internet, 5G network is the Internet closer to production for industrial applications, more than 80% of 5G future scenarios will occur in the Internet industry verticals. One is to strengthen the edge of perception, based on 5G technology support to strengthen the industrial side edge internet data capture capabilities, high-capacity data acquisition, high-quality, high-rate. Second, the auxiliary remote control, 5G network built on a physical line information system, monitoring the entire process, analysis and management, including remote monitoring based 5G, the assembly aid, operation and maintenance and inspection aids. Third, the man-machine collaboration, including the AGV, cloud-based robotics eMBB mobility scenario and the like, the remote control based on industrial machinery, etc. flexible manipulator uRLLC scene. Fourth, to strengthen network security, according to the business plan industrial 5G private network, to avoid interference spectrum to meet the complex needs of different scenarios on the network. First 03 recommendations to guide enterprises to accelerate the use of technology to carry out the industrial 5G Internet network transformation, the development of key technologies and standards related to reinforce the “Industrial Internet + 5G”Development foundation. Second, good spectrum planning and industry regulation, carry out test validation of 5G application functionality, performance, compatibility, security and other industrial fields, continue to promote technological upgrades and iteration. The third is to strengthen the 5G network security building, through the use of authentication, encryption, integrity protection, isolation and other technology to effectively improve the 5G network security level. Data center: Construction of massive data processing system 01 Industrial Technology Analysis As things, is widely used in various sensors and cloud computing CONTROL ENGINEERING China Copyright , throughout the whole manufacturing production process, the whole chain, the whole digital describes big data product life cycle analysis, with a multi-modal, strong association, characterized by high-throughput industrial big data is becoming a key strategic resource to support digital transformation of the manufacturing sector. At present, the global data center market share of only one-fifth of the United States, the development prospects of huge space, is expected 2020–2025 China’s IDC market will reach a total of one trillion yuan. “Edge data center + large-scale data center” will work together to build massive industrial data acquisition, processing and analysis service system, accelerate the promotion of industrial internet platform floor. 02 First, build the integration scenarios edge of the smart data center. Create edge data centers, network latency access to ultra-low mass, heterogeneous, diversity data, construct “cloud computing edge +” new data processing mode, the acceleration data processing sinking Drive, meet all Internet era enterprise bandwidth, delay, security specific needs. The second is to build a large cloud data analysis center. On the one hand, relying on the Internet to achieve the convergence of industrial enterprises of various types of internal data resources, processing, analysis, and application sharing, support optimal allocation of factors of production, promote the upgrading and development of producer services industry. On the other hand, the industrial resources integrated management, precise docking with the intelligent deployment of play data as a core element of value creation and distribution capacity to participate in and accelerate the downstream supply chain collaboration on the industry. 03 recommendations First, focus on protocol analysis, edge computing, based on common technology to carry out collaborative research, development of basic industries ram. The second is to optimize the data center unified layout, consider co-ordination and networking, disaster recovery and other data to guide the country to local conditions to promote orderly data center standardization, development of green. Third, expand the scale of existing data center construction, and actively promote sub-industry data center constructionSet, built on cloud, network, while the depth of integration of the data network to meet the industry’s growing data storage and computing needs. Fourth, explore the construction of an international data center, data center construction companies encourage our rich types of services, innovative service models, and actively developing overseas markets. Artificial Intelligence: enhance the core competitiveness of industry PaaS layer 01 Technical Analysis of artificial intelligence with self-perception, self-learning, self-executing, from decision-making, such as adaptive characteristics, the nature of its application in the industrial field is by creating state-aware, real-time analysis, precise execution, data flow automatic scientific decision-making loop, in order to cope with uncertainty and complexity of the industrial scene. Currently, the industry is still in the development of intelligent exploration period Control Engineering Copyright , the key technology industry of artificial intelligence, application scenarios, both in the initial stage of industrial development. 02 integration scenarios depth study of artificial intelligence and knowledge maps are two main forms of technology in industrial applications. Among them, mainly to solve the deep learning to identify the industrial scene, monitoring, reasoning, prediction problem for complex problems not visible, apply to equipment failure positioning, product quality testing, process optimization and other industrial scene; mapping knowledge to solve major mining, analysis, modeling, visualization, industrial elements and other issues for a clear perception of the problem for the group decision support, lean supply chain management, production planning, forecasting and other industrial scene. First 03 recommendations to guide private enterprises, research institutions to expand investment in the field of artificial intelligence research and development resources in common, attract social capital to participate in efforts to further increase investment. The second is to guide enterprises to develop artificial intelligence product for the scene sore point. Artificial intelligence applications enhance high-quality effective supply capacity to prevent the phenomenon “for the AI and AI” is. The third is to strengthen personnel training to promote artificial intelligence disciplines of construction, additional pilot institutions to accelerate the development of artificial intelligence discipline. Block chain: Laying multi cohabitation, mutual trust and shared digital technology foundation 01 Analysis of block chain with distributed databases, peer transmission, privacy rights, irreversible recording features and boosting research and development, manufacturing, management, operation and maintenance and other aspects of logistics, business flow, information flow and capital flow transparency credibility, thereby improving the overall operating efficiency of the production process organization. Relying on its trading traceable, difficult to tamper with other features, will help improve inter upstream and downstream businesses, trust mechanism between producers and consumers, saving the cost of social trust. 02 fusion scenarios in the edge layer, may be applied to block chains trusted identity, transmission trusted, trusted edge intelligence trusted industrial data acquisition scenario. In IaaS layer block chains are mainly used in industrial large distributed data storage. In PaaS layer , block chains can be applied to data management trusted, distributed industrial model shared books, traceability state, contracts and other intelligent services and micro-production integration scenarios. In industrial application layer, block chains mainly for sale, leasing, recycling scenario, to achieve full traceability data, improve product reliability information. 03 recommendations First, an inclusive precautionary principle, establish a sound regulatory framework block chain, the development of relevant laws and regulations, and create a healthy development of industrial ecology. Second, encourage the establishment of collaborative research with the working mechanism, and actively carry out technical innovation and the technological base, breakthrough performance, security, compatibility and other technical bottlenecks. The third is to strengthen the leading role model, to accelerate pilot demonstration block chain in the industrial areas of the Internet to promote the application of the block chain landed in specific scenarios. AR / VR: to create a new model of industrial human-computer interaction technology 01 Analysis of AR / VR and other forms of technology as a new man-machine interface for complex data visualization and interaction through multi-source information fusion, to build real-time, interactive, immersive dynamic, three-dimensional visual simulation system and the real behavior of the system, help to improve the interactive experience and efficiency, expand human awareness, changes in product form and service model. 02 Fusion R & D scenario in part, by the state of the product in a variety of environments, real-time simulation, can directly reflect the dynamic changes in the product structure, performance, help improve the efficiency of R & D personnel. In manufacturing sectors , is conducive to restore the true scene of the production work, work together to build the human scene, reducing staff training cycles, improve production efficiency. In warehousing and logistics sectors, through the label processing and automation tips that can help staff accurately identify product information, improve the sorting speed and accuracy. In the sales and service areas, customers will participate in product design provides a visual channels, reduce the threshold to participate and achieve customized services. 03 recommendations is to strengthen collaboration with research, promote near-eye display, rendering, basic theory and common technologies such as interactive perception. Second, rich products effective supply, to strengthen the open source community building, suckLead more developers to participate in AR / VR application design and development. The third is to play a leading role in supporting industry standards, the establishment of collaborative research with mechanisms to improve the virtual reality of standards and evaluation system.