At the Nanjing Software Expo “2018 China Internet Innovation and Development Forum” hosted by China Electronics and Information Industry Development Research Institute and Nanjing Economic and Information Technology Committee, Sun Difeng, CEO of CCID Consulting, said that it combines with the United States. Reindustrialization and the industrial trend of German Industry 4.0, based on the development of China’s industrial Internet, the future of China’s industrial Internet will show ten evolutionary trends.
Industrial data from information segregation to borderless circulation
The traditional industrial enterprise data not only creates a separatist state between the enterprise and the enterprise, but also has a state of segregation in the production, design, research and development, management, and operation of the same enterprise. Based on network interconnection technology, Industrial Internet runs through all aspects of industrial design, process, production, management and service, enabling industrial systems to have intelligent functions such as description, diagnosis, prediction, decision-making and control.
Information tools from stand-alone software to industrial apps
The traditional architecture of industrial software is embedded software and non-embedded software, mainly based on stand-alone software and most of them are limited to the factory, and industrial APP is a new architecture based micro-service-based industrial software. Compared with the original “solidified” industrial software, the industrial APP will break the architecture, oriented by professional knowledge, with digital models as the unit and industrial microsystems as the carrier.
Industrial analysis capabilities extend from the cloud to the edge
The traditional “end-tube-cloud” model is difficult to cope with the growing industrial IoT terminals, and cannot guarantee the real-time and reliability of industrial production control. Future industrial analysis capabilities will be “cloud computing + edge computing”, cloud computing focuses on big data analysis of non-real-time, long-cycle data, supporting periodic maintenance and business decisions, edge computing focusing on real-time, short-cycle data analysis, supporting local business Real-time intelligent processing and execution.
Industrial value from product drive to service drive
Based on industrial data, the profit point of industrial equipment manufacturers will shift from “maintenance of products, maintenance and repair” to “providing data-based multi-dimensional production services”.
Industrial communication from preset networking to flexible networking
The acquisition and processing of data is the key to the development of industrial Internet. In the context of the rapid growth of IoT terminals, flexible and low-cost network solutions will become the development direction. Under this situation, the wireless transmission scheme has more development opportunities, and the protocol-based customized development capability is the core competitiveness of the solution provider.
Security protection ranges from “IT protection” to “IT+OT protection”
The current industrial protection scope is mainly limited to the enterprise management end, and the industrial control security capability is weak. With the development of the industrial Internet, OT will be further integrated with IT, and joint protection will become a development trend.
Product lifecycle management from entity testing to data generation
Based on industrial data obtained from industrial internet technology, digital hygiene technology has become a development focus. Future products from research and development, production to use will change from traditional product lifecycle management to digital hygiene application scenarios, realize virtual world image of product life cycle, and improve life cycle management capabilities.
Product development model from single point of operation to synergistic complementarity
The traditional R&D model faces challenges such as high product complexity, long R&D cycle, multi-disciplinary research and development, multi-unit participation, data model borrowing and complex inheritance. The development of industrial Internet will gather enterprises, build a collaborative research and development management platform, realize the full synergy between industrial design and the sub-system units, and enhance the level of digital collaborative research and research and production capacity.
Product supply chain from static management to dynamic management
Traditional supply chain management is limited to process correlation, lack of data-driven overall value transfer and value-added services, resulting in lower corporate homogenization profit margin, low supply chain coordination efficiency, core business processes subject to functional management, and poor information sharing. And so on. The industrial Internet can realize the collection and management of real-time data of products, and realize the accurate matching between supply and demand based on real-time data to realize effective dynamic control of the supply chain.
Operation mode from split competition to cooperation and win-win
The traditional operation mode takes the enterprise as the main body, and the upstream and downstream enterprises of the products operate and manage independently, and the enterprises in the same chain are highly competitive and the information asymmetry is strong. The industrial Internet platform will gather information from all links to form the optimal combination of vendors to meet customer needs, and promote the evolution of the operation mode to “platform-based”.
Post time: Oct-23-2018