How will the evolution of the industrial Internet platform change the technological development of manufacturing?
Date:2019-02-26 origin:RCCN Visit:9885
Because the industrial Internet is a new track for the competition of leading enterprises, from the perspective of the development of the global industrial Internet, it is currently in the critical period of undecided pattern, the window of scale expansion, and the opportunity period to seize the dominant power. Opportunities are very rare, and the window period is also very short, so China's manufacturing industry needs to seize this opportunity to accelerate the development of the industrial Internet.
What exactly is the industrial internet platform?
What is the industrial Internet platform at the core of the industrial Internet? The "Industrial Internet Platform White Paper" gives the following architecture:
The industrial Internet platform architecture can be summarized into the following four points:
1. Data acquisition (edge layer) is the foundation, that is, to build a precise, real-time and efficient data acquisition system, collect data, through protocol conversion and edge calculation, and part of it is processed on the edge side and returned directly to the machine. Part of it is transmitted to the cloud for comprehensive utilization analysis to further optimize decision making.
2. Industrial PaaS (platform layer) is the core. That is to build a scalable operating system to provide a basic platform for industrial APP application development.
3. Industrial APP (application layer) is the key. That is to form an application service that satisfies different industries and different scenarios, and is presented in the form of an industrial APP.
4. IaaS is support. That is, the resources of computing, storage, and network are pooled through virtualization technology to provide users with measurable and flexible resource services.
Four modes of industrial internet platform development
Since 2013, various industries in the world have been actively deployed. Currently, there are more than 150 industrial Internet platforms in the world. Since 2017, the development of the platform has entered the fast lane. In China alone, there are dozens of platform products released. Looking at the layout strategy of platform companies at home and abroad, there are currently four main paths.
1. Equipment and automation enterprises rely on industrial equipment and experience accumulation, relying on the innovative service model of industrial Internet platform. For example, GE builds the Predix platform based on the open source PaaS architecture Cloud Foundry, and provides rich support for application developers by integrating microservices architecture to enable rapid construction, testing and deployment of intelligent applications. Based on its equipment management experience, Sany Heavy Industry focuses on the roots of industrial Internet platform construction, builds a PaaS platform based on open source Docker technology, and has flexible application development and deployment capabilities, providing asset management, predictive maintenance, and product lifecycle management. Industrial application services such as industrial chain finance and model innovation.
2. Leading manufacturing companies transform digital transformation experience into service capabilities and build an industrial Internet platform. For example, Haier's COSMOPlat platform interconnects customer needs, product orders, cooperative production, raw material supply, product design, production assembly and intelligent analysis for real-time communication and analysis to meet scale customization needs. Aerospace Cloud Network The INDICS platform brings together more than 1 million companies and provides services such as supply and demand docking, smart factory transformation, cloud manufacturing and resource sharing.
3. Software enterprises focus on their own business upgrade needs, with the help of industrial Internet platform to achieve capacity expansion. For example, the smart UF industrial Internet platform, through the marketing cloud and Internet marketing and customers through the client, through the procurement cloud through the procurement cloud and suppliers to open the original ERP function in the factory through the cloud optimization, in the workshop equipment Through the IoT platform, you can quickly access different types of devices for monitoring, thus helping customers to quickly connect devices to quickly achieve multi-end real-time services. The PTC Thingworx platform is based on a large number of design modules to enable product development and design, significantly reducing design and development cycles. At the same time, the platform is based on the CAD product digital model and Vuforia technology integrated ThingWorx Studio augmented reality development environment and network experience services and digital twin services (Digital Twin) to achieve full lifecycle management of product production.
4. Information technology enterprises take advantage of technology and extend existing platforms to the manufacturing field. For example, the IBM Bluemix platform works with Bosch to deploy the Bosch IoT Suite service on the platform, which helps IBM improve the underlying device connectivity and data collection capabilities, and implement advanced device management services and cloud computing software updates based on data. The Microsoft Azure IoT platform focuses on building capabilities such as remote device monitoring, predictive maintenance, factory networking and visualization to enhance support for manufacturing scenarios. Huawei's OceanConnect platform leverages gateway devices, software agents, and IoT management systems to enable a variety of underlying data collection and integration, and provides high-value industry applications such as smart homes and car networking by providing API interfaces, development kits, and data analysis services. , smart meter reading, smart parking, safe city, etc.
As Yang Xueshan, the former vice minister of the Ministry of Industry and Information Technology, said: The industrial Internet platform is diversified, and there are different levels and different types of platforms to meet different needs and achieve different values. Why is it necessarily diversified? Because the manufacturing industry itself is diversified, different industries, different scales have different physical systems, so the industrial Internet with surnames not surnamed the Internet must be diversified.
Analyze the four application scenarios of the industrial Internet platform
1. Optimization of production process for industrial sites
The industrial Internet platform can effectively collect and aggregate production site data such as equipment operation data, process parameters, quality inspection data, material distribution data and schedule management data, and through data analysis and feedback in manufacturing processes, production processes, quality management, equipment maintenance and energy Optimize applications in specific scenarios such as consumption management.
2. Management decision optimization for enterprise operations
With the help of the industrial Internet platform, production site data, enterprise management data and supply chain data can be opened to improve decision-making efficiency and achieve more precise and transparent enterprise management. The specific scenarios include supply chain management optimization, production management and control integration, and enterprise decision management.
3. Resource optimization configuration and collaboration for social production
The industrial Internet platform can realize the comprehensive connection between manufacturing enterprises and external users' needs, innovation resources and production capacity, and promote parallel organization and collaborative optimization of design, manufacturing, supply and service links. Specific scenarios include collaborative manufacturing, manufacturing capability trading, and personality customization.
4. Management and service optimization for product life cycle
The Industrial Internet Platform integrates product design, production, operation and service data, based on full lifecycle traceability, predictable manufacturability in the design process, health management in the use chain, and production and use of data. Feedback improves product design. At present, the specific scenes mainly include product traceability, remote predictive maintenance of products/equipment, and product design feedback optimization.
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