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From the issuance of the Guiding Opinions on Deepening the Internet + Advanced Manufacturing Industry to Develop the Industrial Internet (hereinafter referred to as the "Guiding Opinions") to the establishment of the Industrial Internet Task Force, why does the state attach so much importance to the industrial Internet?
Because the Industrial Internet is the new track for leading companies to compete, from the perspective of the global industrial Internet development stage, it is currently in the critical period of undefined pattern, window of scale expansion, and opportunity to seize the dominant power. Opportunities are very rare. At the same time, the window period is also very short. Therefore, China's manufacturing industry needs to seize this opportunity to speed up the development of the industrial Internet.
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, efficient data acquisition system, the data acquisition, through the protocol conversion and edge calculation, part of the edge of the processing and return directly to the machine equipment, Part of the data was transmitted to the cloud for comprehensive utilization analysis, and further optimization was made to form a decision.
2. The industrial PaaS (platform layer) is the core. That is to build a scalable operating system, providing a basic platform for industrial APP application development.
3, industrial APP (application layer) is the key. That is to form application services that meet different industries and different scenarios and present them in the form of industrial APPs.
4, IaaS is support. That is, through virtualization technology, resources such as computing, storage, and network are pooled to provide users with quantifiable and flexible resource services.
1. Equipment and automation companies rely on the accumulation of industrial equipment and experience to rely on the innovative service model of the industrial Internet platform. For example, GE builds the Predix platform based on Cloud Foundry, an open source PaaS architecture, and provides application developers with rich support through integrated microservice architectures to rapidly build, test, and deploy smart applications. Sany Heavy Industry is relying on its equipment management experience to incubate the roots of the industrial Internet platform, build a PaaS platform based on open source Docker technology, have flexible application development and deployment capabilities, provide asset management, predictive maintenance, product life cycle management, Industrial application services such as industrial chain finance and model innovation.
2. Leading manufacturing companies translate digital transformation experience into service capabilities and build industrial Internet platforms. For example, Haier's COSMOPlat platform interconnects customer requirements, product orders, cooperative production, raw material supply, product design, production assembly and intelligent analysis, and conducts real-time communication and analysis to meet the needs of large-scale customization. The Aerospace Cloud INDICS platform brings together more than 1 million enterprises and provides services such as supply and demand docking, smart factory transformation, cloud manufacturing and resource sharing on this basis.
3. The software companies are able to expand their capabilities through the use of industrial Internet platforms, focusing on their own business upgrade needs. For example, the smart UF industrial Internet platform, the client through the marketing cloud and Internet marketing and customer open up, through the procurement side through the procurement cloud and the supplier open up, inherit the original ERP function in the factory through the cloud to optimize, in the workshop equipment Through the IoT platform, users can quickly access different types of devices for monitoring, thus helping customers quickly connect devices to quickly implement multi-end real-time services. PTC Thingworx platform is based on a large number of design modules to achieve product R&D and design, which greatly saves the design development cycle. 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 the full life cycle management of product production.
4. Information technology companies will use their technological advantages to extend existing platforms to the manufacturing sector. For example, the IBM Bluemix platform collaborates with Bosch to deploy Bosch IoT suite services on the platform, which in turn helps IBM to upgrade the underlying device infrastructure and data collection capabilities, and to implement advanced device management services and cloud computing software updates based on data. The Microsoft Azure IoT platform focuses on building service capabilities such as remote device monitoring, predictive maintenance, factory networking, and visualization, and enhances support for manufacturing scenarios. Huawei OceanConnect platform uses gateway devices, software agents, and the Internet of Things management system to implement various types of underlying data acquisition and integration. Through the provision of API interfaces, development kits, and data analysis services, it provides many high-value industrial applications, such as smart homes and car networking. , smart meter reading, smart parking, safe city and so on.
1. Optimize the 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 analyze and feedback data in manufacturing processes and production. Process, quality management, equipment maintenance and energy consumption management are implemented in optimized scenarios.
For the vast majority of manufacturing companies, through the industrial Internet of Things platform, you can quickly achieve more interconnection between machines and devices. You can continuously collect data from various types of devices and machines and integrate multiple data. However, the coexistence of new and old equipment in China's manufacturing enterprises, intelligent upgrades will also be the simultaneous transformation of the old equipment intelligent transformation (also called dumb equipment renovation) and the new application of new equipment construction.
However, in some industrial scenarios, the processing delay is in the order of milliseconds. At this time, the connection between the physical world and the cloud becomes unreliable. Edge computing provides services such as network, calculation, and storage near data sources to meet the demands of enterprise digital transformation in connection, intelligence, real-time, data optimization, and security. Edge computing, as a bridge connecting the physical world and the digital world, makes intelligent assets, intelligent gateways, intelligent systems, and intelligent services real-time, intelligent, and reliable.
The traditional production scheduling and scheduling system is a schedule and constraint-based scheduling optimization algorithm. However, due to the complex nature of production factors, sudden failures such as malfunctions, sick leave, etc., occur frequently, so application promotion is not very satisfactory. With the breakthrough of artificial intelligence algorithms, based on the platform's monitoring data matching resource capabilities, deep learning can provide an effective plan for manufacturing resource scheduling. The application of video image recognition methods in appearance detection has been relatively mature. Based on equipment operating status data, forecasting equipment failures, optimizing equipment operating status and other applications are also more mature.
The essence of the industrial Internet is to apply technologies such as big data, cloud computing, and the Internet of Things to industrial enterprises, improve the company's core competitiveness, and promote China's manufacturing industry to become stronger and stronger, and strive to become a manufacturing power as soon as possible.
First, based on the industrial PaaS cloud platform (iuap), developed the UF industrial IoT platform with wide adaptability. The platform consists of modules such as device models, rule engines, visual monitoring, and knowledge bases. It can adapt to common industrial communication protocols, multi-brand CNC systems and PLC controllers, collect various types of equipment and various types of data in real time, and complete data cleaning, standardization conversion, and storage, facilitating business system calls such as ERP and MES.
Secondly, based on the Industrial PaaS Cloud Platform (IUAP), a number of applications have been developed, including: sales clouds that directly connect customers and major e-commerce companies; procurement clouds that connect directly with suppliers; design clouds that support collaborative design; support internal plant planning and A series of application services, such as manufacturing clouds, which are managed and managed. Up to now, IUAP-based developers have reached 65,000, and provided more than 1,000 application APPs, and the number of access devices exceeds 3.9 million units (one)!
Because the Industrial Internet is the new track for leading companies to compete, from the perspective of the global industrial Internet development stage, it is currently in the critical period of undefined pattern, window of scale expansion, and opportunity to seize the dominant power. Opportunities are very rare. At the same time, the window period is also very short. Therefore, China's manufacturing industry needs to seize this opportunity to speed up the development of the industrial Internet.
What is the industrial Internet platform?
What is the industrial Internet platform at the heart 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, efficient data acquisition system, the data acquisition, through the protocol conversion and edge calculation, part of the edge of the processing and return directly to the machine equipment, Part of the data was transmitted to the cloud for comprehensive utilization analysis, and further optimization was made to form a decision.
2. The industrial PaaS (platform layer) is the core. That is to build a scalable operating system, providing a basic platform for industrial APP application development.
3, industrial APP (application layer) is the key. That is to form application services that meet different industries and different scenarios and present them in the form of industrial APPs.
4, IaaS is support. That is, through virtualization technology, resources such as computing, storage, and network are pooled to provide users with quantifiable and flexible resource services.
Industrial Internet Platform Develops Four Modes
Since 2013, various types of industrial entities in the world have been actively deployed. Currently, the number of global industrial Internet platforms exceeds 150. Since 2017, the development of the platform has entered the fast lane. In China alone, dozens of platform products have been released. Based on the overall layout strategy of platform companies at home and abroad, there are currently four main paths.1. Equipment and automation companies rely on the accumulation of industrial equipment and experience to rely on the innovative service model of the industrial Internet platform. For example, GE builds the Predix platform based on Cloud Foundry, an open source PaaS architecture, and provides application developers with rich support through integrated microservice architectures to rapidly build, test, and deploy smart applications. Sany Heavy Industry is relying on its equipment management experience to incubate the roots of the industrial Internet platform, build a PaaS platform based on open source Docker technology, have flexible application development and deployment capabilities, provide asset management, predictive maintenance, product life cycle management, Industrial application services such as industrial chain finance and model innovation.
2. Leading manufacturing companies translate digital transformation experience into service capabilities and build industrial Internet platforms. For example, Haier's COSMOPlat platform interconnects customer requirements, product orders, cooperative production, raw material supply, product design, production assembly and intelligent analysis, and conducts real-time communication and analysis to meet the needs of large-scale customization. The Aerospace Cloud INDICS platform brings together more than 1 million enterprises and provides services such as supply and demand docking, smart factory transformation, cloud manufacturing and resource sharing on this basis.
3. The software companies are able to expand their capabilities through the use of industrial Internet platforms, focusing on their own business upgrade needs. For example, the smart UF industrial Internet platform, the client through the marketing cloud and Internet marketing and customer open up, through the procurement side through the procurement cloud and the supplier open up, inherit the original ERP function in the factory through the cloud to optimize, in the workshop equipment Through the IoT platform, users can quickly access different types of devices for monitoring, thus helping customers quickly connect devices to quickly implement multi-end real-time services. PTC Thingworx platform is based on a large number of design modules to achieve product R&D and design, which greatly saves the design development cycle. 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 the full life cycle management of product production.
4. Information technology companies will use their technological advantages to extend existing platforms to the manufacturing sector. For example, the IBM Bluemix platform collaborates with Bosch to deploy Bosch IoT suite services on the platform, which in turn helps IBM to upgrade the underlying device infrastructure and data collection capabilities, and to implement advanced device management services and cloud computing software updates based on data. The Microsoft Azure IoT platform focuses on building service capabilities such as remote device monitoring, predictive maintenance, factory networking, and visualization, and enhances support for manufacturing scenarios. Huawei OceanConnect platform uses gateway devices, software agents, and the Internet of Things management system to implement various types of underlying data acquisition and integration. Through the provision of API interfaces, development kits, and data analysis services, it provides many high-value industrial applications, such as smart homes and car networking. , smart meter reading, smart parking, safe city and so on.
As Yang Xueshan, deputy minister of the Ministry of Industry and Information Technology, said: The industrial Internet platform is diverse, with different levels and different types of platforms to meet different needs and realize different values. Why do we say that it must be diversified? Because the manufacturing industry itself is a pluralistic, different industries, different scales have different physical systems, so the industrial Internet name surname does not name the Internet must also be multiple.
1. Optimize the 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 analyze and feedback data in manufacturing processes and production. Process, quality management, equipment maintenance and energy consumption management are implemented in optimized scenarios.
2. Optimization of management decisions for business operations
With the aid of an 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 control integration, and enterprise decision management.3. Optimized allocation and coordination of resources for socialized production
The industrial Internet platform can realize the complete docking of manufacturing companies with external users' needs, innovation resources, and production capabilities, and promote the parallel organization and collaborative optimization of design, manufacturing, supply, and service links. Its specific scenarios include collaborative manufacturing, manufacturing capabilities trading and customization.4. Product-oriented life cycle management and service optimization
The industrial Internet platform can fully integrate product design, production, operation, and service data, based on the full life cycle traceability, realize manufacturability prediction at the design stage, implement health management at the use link, and produce and use data. Feedback improves product design. At present, its specific scenarios mainly include product traceability, product/equipment remote predictive maintenance, and product design feedback optimization.What new technologies are brought by the industrial Internet platform to manufacturing?
1. The industrial IoT platform enables the connection of all things. The core of the industrial Internet platform is industrial IoT. Through the IoT platform, the machines and equipment can be quickly connected. In the era of PC Internet, the connection of billions of computers was realized, bringing about a revolution in information and transaction methods; in the era of mobile Internet, billions of mobile phones were connected, bringing about social and lifestyle revolutions; with the era of industrial Internet The coming of the year will bring about interconnection of billions or billions of trillions of things, which will surely bring about a revolution in production and distribution.For the vast majority of manufacturing companies, through the industrial Internet of Things platform, you can quickly achieve more interconnection between machines and devices. You can continuously collect data from various types of devices and machines and integrate multiple data. However, the coexistence of new and old equipment in China's manufacturing enterprises, intelligent upgrades will also be the simultaneous transformation of the old equipment intelligent transformation (also called dumb equipment renovation) and the new application of new equipment construction.
2. Complementary coexistence of cloud computing and edge computing
Data in traditional IT architecture solutions is aggregated into local business systems. Most of these systems are chimney-like and isolated business systems. In contrast, under the framework of the industrial Internet platform, more and more data is gathered in the cloud, and data is stored, managed and calculated in the cloud. After the data is on the cloud, companies can reduce IT operating expenses, open up connections between traditional chimney-based business systems, and monitor the operational status of enterprises at any time and in real time.However, in some industrial scenarios, the processing delay is in the order of milliseconds. At this time, the connection between the physical world and the cloud becomes unreliable. Edge computing provides services such as network, calculation, and storage near data sources to meet the demands of enterprise digital transformation in connection, intelligence, real-time, data optimization, and security. Edge computing, as a bridge connecting the physical world and the digital world, makes intelligent assets, intelligent gateways, intelligent systems, and intelligent services real-time, intelligent, and reliable.
3. Artificial intelligence provides intelligent brain for industrial Internet
Through the cloud of IOT data, companies have acquired a large amount of product life cycle data (big data), which lays a good foundation for artificial intelligence based on big data + cloud computing. However, in general, the application of artificial intelligence in industry is still very limited, and there is much room for development in the future. At present, there are many applications such as intelligent scheduling, intelligent detection, and equipment failure prediction.The traditional production scheduling and scheduling system is a schedule and constraint-based scheduling optimization algorithm. However, due to the complex nature of production factors, sudden failures such as malfunctions, sick leave, etc., occur frequently, so application promotion is not very satisfactory. With the breakthrough of artificial intelligence algorithms, based on the platform's monitoring data matching resource capabilities, deep learning can provide an effective plan for manufacturing resource scheduling. The application of video image recognition methods in appearance detection has been relatively mature. Based on equipment operating status data, forecasting equipment failures, optimizing equipment operating status and other applications are also more mature.
The essence of the industrial Internet is to apply technologies such as big data, cloud computing, and the Internet of Things to industrial enterprises, improve the company's core competitiveness, and promote China's manufacturing industry to become stronger and stronger, and strive to become a manufacturing power as soon as possible.
In August 2017, UF officially released the Smart UF Industrial Internet Platform to provide data-based, scenario-based intelligent cloud services to support smart manufacturing innovation and drive changes in business models and management.
First, based on the industrial PaaS cloud platform (iuap), developed the UF industrial IoT platform with wide adaptability. The platform consists of modules such as device models, rule engines, visual monitoring, and knowledge bases. It can adapt to common industrial communication protocols, multi-brand CNC systems and PLC controllers, collect various types of equipment and various types of data in real time, and complete data cleaning, standardization conversion, and storage, facilitating business system calls such as ERP and MES.
Secondly, based on the Industrial PaaS Cloud Platform (IUAP), a number of applications have been developed, including: sales clouds that directly connect customers and major e-commerce companies; procurement clouds that connect directly with suppliers; design clouds that support collaborative design; support internal plant planning and A series of application services, such as manufacturing clouds, which are managed and managed. Up to now, IUAP-based developers have reached 65,000, and provided more than 1,000 application APPs, and the number of access devices exceeds 3.9 million units (one)!
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