At the seminar on "Construction and Application of Industrial Internet Platform" held recently, the hot development of the Chinese and foreign industrial Internet platforms attracted a heated discussion among participants. In view of the challenges and problems facing the next step of the industrial Internet platform, An Zhenpeng, deputy director of the Information and Software Services Department of the Ministry of Industry and Information Technology, believes that from a macro perspective, to promote the further development of the industrial Internet platform, it is necessary to respond to the will of entrepreneurs. Digital ecological construction and real application scenarios lead to three major challenges. In view of the current industry's vigorous development of the industrial Internet platform, compared with the previous two integration, intelligent manufacturing, manufacturing and Internet convergence, An Zhenpeng combed the "two unchanged" and "six major changes" It deserves industry attention.
The development of industrial Internet platform has to go through the "three ways"The seminar was hosted by the Industrial Internet Platform Publicity Group, hosted by China Information and Communication Research Institute, Industrial Internet Industry Alliance and the Institute of Intelligent Research. About 30 experts, scholars and corporate leaders from government departments and industrial Internet platform related companies attended the seminar. This seminar. Yang Xueshan, a professor at Peking University and former deputy director of the Ministry of Industry and Information Technology, was invited to attend, from government departments, China Institute of Information and Communications, to the Institute of Intelligence, as well as aerospace science and technology, AVIC, Chinese ships, Chinese ordnance, Chinese soldiers. Equipment, China Electronics, China Xidian, Huawei, Alibaba Cloud, Haier Group, Shugen Internet, Xugong Information, Ziguang Cloud Engine, Dongfang Guoxin, Zhejiang Zhongkong, Heli Time, Suowei System, Send Cloud Technology and other industrial Internet More than 30 experts, scholars and corporate leaders from platform-related companies attended the seminar.
At the meeting, more than 150 industrial Internet platforms emerged in the world in a short period of time. At the recent Industrial Internet Summit, more than 20 industrial Internet releases or debuts in China caused heated discussion. People are concerned that the development of the industrial Internet platform is so hot, what problems and challenges will be faced in the next promotion and application? In this regard, An Zhenpeng combed the "three major challenges" that need to be resolved from a macro level.
The first is how to encourage entrepreneurs to actively embrace the industrial Internet platform. The most critical difference between the industrial Internet and the consumer Internet is the willingness of users to use it. Individual consumers are willing to embrace change, which is one of the important reasons for the success of China's consumer Internet. The industrial Internet platform brings new architecture systems, technical systems, security systems, business processes and business models. For this, manufacturers are willing to embrace change, dare to try, and are willing to take practical actions for change, which will become the industrial Internet platform. The key to development. Therefore, the next step should be to focus on how to create a good environment and atmosphere for entrepreneurs to embrace the industrial Internet platform.
The second is how to build a digital model ecosystem. The digital model is the core content of the industrial Internet platform. There is a big gap between the development of China's industrial Internet platform and foreign countries. The appearance is that the quality and quantity of industrial software are insufficient. In essence, the precipitation of manufacturing technology and industrial knowledge, experience and methods is not enough. There is a large amount of knowledge, experience, and methods in the fields of machinery manufacturing, aerospace, etc., which used to be stored in the form of patents, operating habits, and old workers' work experience. Now, this knowledge is being deposited in the industrial Internet in the form of a digital model. on the platform. This requires a complete ecological system around the development, deployment, maintenance and service of the digital model. A large number of technical principles, industry knowledge, basic processes, and model tools are efficiently and conveniently deposited on the platform to enhance the platform value.
The third is how to develop the platform through real application scenarios. The value of the industrial Internet platform is used to solve real-world industrial application problems. This objectively requires that the development of the industrial Internet platform must be driven by the real application scenario needs, giving priority to solving the practical application problem "what", instead of Considering "what is" from the supply side of the platform, it is necessary to sort out the construction direction of the industrial Internet platform from the demand side, and develop an industrial Internet platform with practical application value and solving practical application problems.
The common problem of manufacturing has not changed, and the problem-solving ideas have changed.From the past two integration, intelligent manufacturing, manufacturing and Internet convergence to the current industrial Internet platform pushed by the industry, what has changed? An Zhenpeng gave an in-depth explanation of "two has not changed" and "six changed".
First, the core issue of the solution has not changed. Whether it is a dual integration, intelligent manufacturing or industrial Internet platform, it is considering how to improve the quality of manufacturing products, production efficiency, service level and cost reduction. These problems are old problems in 20 years and 30 years. The essence of manufacturing competition is the competition of resource allocation efficiency. The starting point and the foothold of the two-in-one integration, intelligent manufacturing, and industrial Internet platform are all considering how to optimize the allocation efficiency of manufacturing resources.
Second, the logic for solving the problem has not changed. This logic can be summarized as: data + model = service, that is, the enterprise can better train and optimize the model by collecting more data, thus forming better service by accelerating application iteration. Whether it is a dual-integration, intelligent manufacturing or industrial Internet platform, it is considering how to collect more data, realize the explicitness of the hidden data in the physical world, realize the timeliness, completeness and accuracy of the data, and through various The model software analyzes and processes, implements the iteration of data-information-knowledge-decision, and finally passes the correct data to the right people and machines in the right way and at the right time to optimize the efficiency of manufacturing resource allocation.
An Zhenpeng believes that in the process of promoting the integration of informationization and industrialization, different solutions have been formed under different technological backgrounds. From traditional IT-based solutions to private cloud-based solutions to public cloud-based solutions, which are based on industrial Internet platforms, solutions at different stages of development have six technical paths. Evolution and change.
The first is where the data has changed. In the traditional IT architecture solution, the system collects more data of various business systems, product models, operating environments and the Internet, but for the industrial Internet platform, the biggest change is to realize the interconnection of more machines and devices. The industrial Internet platform can continuously collect data of various types of equipment and machines to realize integration of various data.
The second is where the data has changed. In traditional IT architecture solutions, data is aggregated into local business systems, mostly chimney-based, isolated business systems. In contrast, under the industrial Internet platform architecture, more and more data is gathered into the cloud, and data is centrally stored, managed, and calculated in the cloud.
The third is where the model has changed. Unlike local IT-based models deployed locally, industrial Internet platforms are increasingly deploying various model software in the cloud. Traditional industrial software has been deployed to the cloud through architecture refactoring and code rewriting, becoming a “cloud†model. At the same time, many developers are developing more new software based on the cloud development environment and becoming a “cloud†model.
The fourth is how the model has been deployed. In traditional IT architecture solutions, most of the model software is a complex integrated, monolithic architecture. For the industrial Internet platform, various mechanism models and big data analysis models are deployed in the cloud in two ways: the monolithic architecture and the microservice architecture. Currently, the two deployment methods exist simultaneously, but over time, the microservices The architecture will become mainstream.
Fifth, the depth of resource optimization has changed. Compared with traditional IT architecture solutions, the Industrial Internet Platform will achieve deeper optimization of manufacturing resources and physical world by bringing more timely, accurate and complete data into a more accurate, scientific and diverse model. Cognition and transformation will evolve from description and diagnosis to prediction, decision-making and optimization. From initial data-based visualization, descriptive to information-based diagnosable, optimizable, to knowledge-based predictable, decisionable.
Sixth, the breadth of resource optimization has changed. The traditional IT architecture provides more resource-optimized configuration services for the unit-level and system-level levels. The industrial Internet platform can provide services ranging from stand-alone devices to production lines and industrial chains through a variety of services presented in the form of SaaS software and industrial applications. System-level optimization to the industrial ecosystem, from local optimization to global optimization.
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