In the critical period of realizing Chinese modernization and promoting new industrialization, the continuous in-depth integration of artificial intelligence (AI) and Industrial Internet has become the key point to promote industrial upgrading in the industrial field and boost China’s strength in manufacturing, cyberspace and digital development. Based on the analysis of the application effect of AI + Industrial Internet model in the fields of comprehensive intelligent energy management, preventive maintenance of equipment, smart manufacturing scheduling and warehouse management, this paper demonstrates its important supporting role in the transformation of industrial intelligence. It also focuses on the positive role of emerging AI products in helping the development and upgrading of AI + Industrial Internet model. At the same time, it also points out the limitations faced by AI + Industrial Internet model applications at the current stage, hoping to provide reference for accelerating the implementation of various AI + Industrial Internet model application scenarios and preventing application risks.
With standardization of Programmable Logic Controller (PLC) software and the development of 5G networks, PLCs are transforming from dedicated control devices to providing software services. Industrial control is moving from the field to ubiquity, and from hardware-software integration to software-defined development. This paper proposes a new 5G industrial control system based on 5G virtualization PLC as the technical foundation by analyzing the evolution trend of industrial control systems. Then, it expounds the technical characteristics of 5G virtualization PLC from architecture and key technologies, and introduces the technology practice of 5G virtualization PLC carried out with 5G industrial control gateway. Finally, it looks forward to the development trend of virtualization PLC and analyzes the challenges faced by the development of 5G virtualization PLC technology.
In order to solve the problems of public recursive parsing nodes in the identification and resolution system for Industrial Internet, such as information transparency, lack of privacy data protection, and identity rights management, a data security reinforcement strategy for identifying public recursive parsing nodes is proposed. By designing an encryption mechanism and a fine-grained permission verification mechanism, the encoding registration of identifying and resolving secondary nodes and the security reinforcement of resolution services are achieved, the security of sharing identification and resolution data is improved, and effectiveness of this strategy is verified.
It is difficult to share the existing Industrial Internet data safely during the process of interconnection, and the development model of Industrial Internet urgently needs innovation. This paper first refines the technical architecture of the distributed cognitive Industrial Internet. Then, it discusses the dilemma of data sharing and utilization in the field of Industrial Internet, and proposes solutions of privacy computing in specific industrial application scenarios. Finally, according to actual requirements, this paper gives suggestions for the development of privacy computing in the distributed cognitive Industrial Internet.
5G + Industrial Internet is an important approach for equipment manufacturing enterprises to achieve the digital transformation. This paper first designs a digital framework for steel pipe production. Then, it discusses the networking mode, key process transformation, and technology integration of 5G + Industrial Internet applied in steel pipe production workshops. Finally, this paper studies the unique identification of the entire life cycle of steel pipes, and constructs virtual production and logistics systems by using digital twin technology. The application scenarios include steel plate and finished steel pipe logistics, steel pipe processing and forming, quality inspection, and interactive operation. The results show that 5G + Industrial Internet meets the requirements of digital transformation and intelligent upgrading in steel pipe production. It also provides reference for the manufacturing industry to construct virtual production lines.
The large state-owned enterprise telecom operators take the mission of promoting new infrastructure construction, but also is the main force of national digital economy development. It is of great significance for telecom operators to implement the high-quality development of enterprises and promote the innovative application of the Industrial Internet. Starting from the intelligent terminal service of operators, this study tries to improve the efficiency and ability of operators to provide maintenance services through the application of identification and resolution for Industrial Internet. Taking this as a breakthrough, this study tries to realize digitization of operators’ assets and further promote the intelligent operation and maintenance of enterprises based on identification and resolution for Industrial Internet.
The OnePower Industrial Internet Platform is one of the core products of China Mobile Shanghai Industrial Research Institute. Relying on the deployment of China Mobile’s cloud network resources and integrating 5G+AICDE technology, the platform can provide universal and customized products and solutions in diverse industrial scenarios for the construction of smart factories. This paper first introduces the current development situation of smart factories. Then, it gives a detailed introduction of the architecture of the OnePower Industrial Internet Platform. Finally, it introduces the AI quality inspection project of an enterprise based on the AI quality inspection sub platform of the OnePower Industrial Internet Platform.
The green intelligent factory for metallurgical dust and mud recycling is owned by Everrising Holdings’ Yonggang Group. By using technologies such as 5G, Industrial Internet, and big data, the factory has improved the traditional large-scale and extensive management mode which has weak research and development abilities and ignores environmental protection. It has also achieved centralized control of production, security visualization, unmanned operation, intelligent spot inspection, efficient cooperation, and intelligent management. And it has transformed into a highly informationized and intelligent “dark factory”.
Based on the current development situation of Industrial Internet identification and the existing problems of supply chain, this paper proposes a method of integrating Industrial Internet identification and resolution with blockchain technology. It achieves identity trust and content trust of carbon emission data in the supply chain. Based on this method, this paper presents a building and application scheme of green supply chain system, realizes credible carbon footprint assessment of supply chain products and enterprises, and contributes to the green and sustainable development of the supply chain.
As the digital economy industrial park is the main carrier for digital economy industrial agglomeration, to build digital economy industrial parks is an effective means to implement the national digital economy development policy. In recent years, China has preliminarily established the policy system for digital economy industrial parks. The scale effect has begun to show, and the enterprise agglomeration effect has become prominent. At present, the high-quality development of digital economy industrial parks faces four major problems: insufficient overall standardization of industrial parks, obvious inter-regional Matthew effect, insufficient forward-looking planning, and data fusion applications and security risks. It is suggested to strengthen the top-level design of digital economy industrial parks, support industrial parks to carry out data fusion application exploration, encourage trans-regional exchanges and cooperation of digital economy industrial parks, and take multiple measures to promote high-quality development of digital economy industrial parks.
At present, the digital economy has become important support and a key driving force for promoting global economic and social development. Many countries and regions around the world, including China and ASEAN, are actively promoting the development of digital economy. China’s digital economy currently ranks second in the world in terms of development scale, and has many development advantages in policy, technology, application, and industry. The demand for digital economy development in the ASEAN region is strong, but the development foundation is weak. Therefore, China and ASEAN are highly complementary in promoting the development of digital economy. This paper deeply analyzes the basic development characteristics of the current digital economy in the ASEAN region. Then, it summarizes the current situation of China-ASEAN cooperation and development in the field of digital economy. Finally, it puts forward corresponding countermeasures and suggestions.
A design method of digital twin simulation platform based on micro-service architecture is proposed. The network energy saving optimization scenario that is accurately allocated with multi-dimensional resources is taken as an example. The communication interfaces are designed by splitting the loosely coupled simulation units in the platform. Based on Docker container technology and the Kubernetes platform, the micro-service simulation components are deployed, and the architecture of the digital twin simulation platform is upgraded. By merging the advantages of micro-service architecture, the platform can be more convenient for upgrading, function expansion, deployment and implementation in the future. The test results show that parallel computing can be realized in the form of containers with the proposed method, and the simulation time can be significantly shortened when the computing amount is large.
The judgment matrix is obtained by multi-expert evaluation of the fuzzy analytical hierarchy process, and the index weights are ordered and checked for consistency with the characteristic roots method, which is applicable to guide the determination of evaluation index weights in cybersecurity detection and evaluation activities. The aim is to reduce errors caused by subjective factors in the process of cybersecurity capability evaluation, and to make objective, comprehensive, and scientific evaluations of complex systems with multiple attributes. Finally, the feasibility of the method is verified by case study.