At the Industrial Internet Promotion Forum of China Internet of Things Industry Ecology Congress in 2018, the industry white paper of China Internet of Things Cloud Platform and the top ten industrial cloud platforms were officially released in 2018. At the meeting, Han Yun, general manager of the Internet of Things Industry Research Center of Saidi Consulting Co., Ltd., gave an in-depth interpretation of the "White Paper on Cloud Platform Industry of China Industrial Internet of Things 2018".
Han Yun pointed out that the purpose of establishing industrial Internet of Things cloud platform is to evolve industrial software into a service (SaaS), and provide customers with a platform (PaaS) that can configure or redevelop software functions, and store data information systems in the cloud, so as to make industrial enterprise application information systems more convenient and more conducive to management.
With the continuous development of industrial Internet, the participants in the industrial chain of cloud platform of industrial Internet of Things in China mainly include data acquisition layer, IaaS layer, PaaS layer and SaaS layer. Enterprises in different industrial chains focus on their own business development with the help of industrial Internet of Things cloud platform, and are ready to develop.
Han Yun said that with the continuous development of the industrial internet, there are some characteristics of development. The White Paper on Industrial Cloud Platform Industry of China Industrial Internet of Things in 2018 points out that there are four characteristics in the development of industrial cloud platform.
Firstly, the virtualization of computing resources is becoming more and more mature, which lays the foundation for the development of industrial cloud platform. Cloud computing enterprises simplify the Internet of Things into three points: computing resources, storage space and communication broadband. Cloud computing not only reduces the operating cost of the Internet of Things cloud platform, but also provides a guarantee for business growth. So more and more enterprises choose to cooperate with some cloud computing vendors.
Second, the scale and diversity of Internet of Things data accelerate the development of industrial Internet of Things cloud platform. The Internet of Things is different from the traditional Internet in that it needs to connect objects with different functions to a unified platform. The data types produced by different terminals are also different, and the underlying communication standards are not unified. Therefore, the Internet of Things platform needs to pay attention to the need to unify different types of data in order to facilitate subsequent data analysis and processing.
Thirdly, the industrial application scenario is rich, which helps the cloud platform of the industrial Internet of Things continue to surge. Industrial Internet of Things (IOT) cloud platform is widely used in the field of industrial manufacturing, including equipment manufacturing, petrochemical, metal smelting and processing, food and beverage, services and so on. However, its main applications focus on manufacturing supply chain management, production process optimization, product and equipment monitoring management, environmental protection monitoring and energy management.
Fourthly, the traditional IT architecture can not meet the needs of the industrial Internet of Things, so we need to speed up the construction of cloud platform. In the future, the equipment of industrial Internet of Things will no longer be limited to smart phones, computers and so on. It will cover various fields such as intelligent manufacturing equipment, traffic logistics, public safety, intelligent fire protection, industrial detection and so on.
At the same time, in response to the release of the "China Industrial Internet of Things Cloud Platform Industry White Paper 2018", Saidi advisers give four suggestions for the future development of industrial Internet Cloud Platform.
First, take the "Internet +" wind to speed up the construction of industrial cloud platform. Focusing on key technologies such as data acquisition, platform management, modeling and analysis, and interconnection between platforms, the core competence of key enterprises and scientific research institutes should be brought into full play, the cultivation of cross-industry and cross-domain industrial cloud platforms should be accelerated, and a batch of enterprise-level cloud platforms should be built to support the development needs of enterprise digitalization, networking and intellectualization. Taiwan, so as to enhance the international core competitiveness of the local industrial cloud platform.
Secondly, we will carry out industrial cloud platform test and verification, vigorously support leading manufacturing enterprises, Internet enterprises, scientific research institutes, universities and other construction of industrial Internet of Things platform test and verification environment and test bed, carry out technical verification of adaptability, reliability and security, provide test and evaluation services for platform products, and standardize platform development. Order, promote the continuous improvement of platform functions, accelerate the landing and application of the platform.
Thirdly, build a bridge of "digital service" industry layout, and implement industrial enterprises in Shangyun. Increase efforts to encourage industrial cloud platforms to land in industrial agglomeration areas, promote local governments to encourage SMEs'business systems to migrate to the cloud through financial and taxation support and government purchasing services, and work from both sides of "supply side" and "demand side", "build platform" and "use platform" two-way iteration to build resource enrichment and good. Industrial Cloud Platform System of Sexual Interaction.
Fourthly, build a new ecology of "manufacturing + interconnection" and implement a new project of industrial APP cultivation. Focusing on the open sharing of manufacturing models, knowledge components and algorithm tools based on the industrial Internet of Things platform, support the cooperation among software enterprises, industrial enterprises and scientific research institutes, cultivate about 1 million industrial APPs for specific application sites such as collaborative research and development, shared manufacturing and life cycle management, and promote the industrial manufacturing process. New ecology in the development of industrialization, dominance of industrial knowledge and cloud computing of industrial intelligence.
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