Heavy weight! The "Top Ten Technological Advances in World Intelligent Manufacturing in 2020" are Revealed
In 2020, the Chinese Association for Science and Technology Intelligent Manufacturing Society Consortium and the International Intelligent Manufacturing Alliance (preparatory) launched the "; Research on the Progress of Intelligent Manufacturing Technology;, After recommendation and selection by member societies of the consortium and the Academic Committee of the International Intelligent Manufacturing Alliance, 10 technological advancements have been shortlisted; Top 10 Technological Advances in Intelligent Manufacturing in the World in 2020;, The shortlisted projects are now publicly announced. (Ranked in no particular order)
1. “ Dream Site” Smart factory
SmartFactory“Dream Site”
Reason for nomination: Okuma Corporation; Dream Site” Smart factory is; The future factory where automation and skilled technology complement each other;. The factory mainly manufactures high-quality and high-efficiency processing machine tools, which operate continuously 24 hours a day and 7 days a week, forming a self-contained integrated production system. It can complete the entire process from raw material input, component processing, assembly, inspection to shipment. All work areas are temperature controlled, chips are automatically collected, and the parts processing area is continuously kept clean and tidy. The workshop is equipped with solar panels on the top to reduce operating costs; The factory information physical system improves the speed of processing preparation and achieves continuous operation; Real time location management of workpiece ID to shorten workshop control cycle; Production progress and operation monitoring system to achieve visualization of the workshop. Intelligent machine tools equipped with collision prevention systems support production control for all operations and can achieve super composite processing of turning, hole processing, gear processing, and heat treatment.
Keywords: smart factory; Cyber physical systems; IoT; Composite processing
2. The future factory of mass customization
Future Factory Plan based on Mass Customization
Reason for nomination: Haier uses the Internet Factory as a carrier to achieve the transformation from enterprise centered to user centered, and from large-scale manufacturing to mass customization. Mainly practicing in dimensions such as digital marketing, digital design, digital ecology, digital manufacturing, and digital management, cloudifying and softening models and technologies to achieve real-time interconnection of the entire user process; Zero distance between users and factories. The Internet Factory promotes the application and promotion of mass customization models within Haier and across industries and fields. The practice of the plan has been recognized by the International Organization for Standardization ISO/IEEE/IEC. Based on this plan, multiple interconnected factories have been established and replicated in various industries such as clothing, food, housing, transportation, health, and wellness, achieving changes in product customization, development, supplier models, flexible production, quality control, and other aspects.
Keywords: mass customization; Internet factory; Real time interconnection throughout the entire process
3. Integrated solution of intelligent manufacturing based on industrial Internet platform
Smart Manufacturing Solutions based on Lenovo Industrial Internet Platform
Reason for shortlisting: The industrial Internet platform developed by Lenovo solved the access and data management problems of massive industrial terminals in multiple fields and scenarios through the open source timing database and low code development environment, and realized the rapid access of industrial equipment in 33 Lenovo factories and the real-time calculation, analysis and response of industrial data. By integrating IT and OT domain data, a unified data fusion and sharing platform is built to achieve cross global manufacturing resource information sharing and multi factory, multi production line collaborative manufacturing for the electronics industry. Based on user behavior characteristics, the full value chain optimization supports millions of personalized customization needs, and creates mass customization production and deep upstream and downstream collaborative solutions for the electronics industry. Relying on technological innovation, the platform also provides safe and reliable products and solutions for enterprises in industries such as automobiles, machinery, and home appliances, empowering them to improve quality, reduce costs, and increase efficiency.
Keywords: Lenovo Industrial Internet Platform; Massive terminal access; Mass customization production; Upstream and downstream collaboration
4. Intelligent factory for manufacturing 3C lithium-ion batteries
Smart Factory for 3C Lithium-ion Battery Manufacturing
Reason for nomination: CATL's 3C lithium-ion battery manufacturing intelligent factory integrates intelligent manufacturing production lines with manufacturing operation management platforms to create an overall enterprise level smart manufacturing platform. High confidentiality and efficiency of pre production processes that meet industry characteristicsAnd it can adapt to the high flexibility requirements of subsequent processes, while also considering moderate flexibility at a high degree of automation, solving many challenges in the massive data collection, storage, analysis, and control in the manufacturing process of lithium-ion batteries. By conducting system level optimization parameter recommendations, automatic verification of key parameters, automatic equipment control, automatic product quality inspection and judgment, and change control on the issued data, the process quality of production is guaranteed. Based on the integration of the latest lean management, cost management, process control, and other management technologies, we aim to improve the performance and reliability of lithium battery products, reduce manufacturing costs, shorten manufacturing cycles, and accelerate the introduction of new products.
Keywords: 3C lithium-ion battery; Automation; flexibility; Massive data; Parameter recommendation
5. ROOT Cloud Platform
ROOTCLOUD IIoT Platform
Reason for shortlisting: Roots Internet focuses on building an industrial Internet platform with ABIoT (A refers to AI, B refers to blockchain, IoT refers to Internet of Things) as its core competence. The ROOT Cloud platform can provide end-to-end services from industrial equipment connectivity, data management and analysis, to industrial applications, helping various types of enterprises, large, medium, and small, transform. At present, ROOTCLOUD root cloud platform has accessed 690000 sets of various industrial equipment, created 20 industry cloud platforms including engineering machinery, environmental protection, casting, injection molding, textile and customized home furnishing, covered 81 sub industries, connected more than 500 billion assets, helped all kinds of customers to quickly build an innovation chain of smart products, intelligent research and development, intelligent manufacturing, intelligent services and industrial finance with the industrial Internet platform as the starting point, and led a number of upstream and downstream enterprises to complete digital transformation.
Keywords: RootCloud Platform; Industrial Internet platform; Transparent factory
6. Key technologies for automatic navigation and precise measurement and control of agricultural machinery based on Beidou
Key Technologiesof Agricultural Machinery Automatic Navigation and Telematic System based on Beidou
Reason for nomination: Beijing Agricultural Intelligent Equipment Technology Research Center has broken through key technologies such as Beidou automatic navigation for agricultural machinery, intelligent monitoring of fully mechanized operations, and big data cloud services for operations. It has created two types of agricultural machinery Beidou automatic navigation products with independent intellectual property rights, namely electro-hydraulic and motor steering, which significantly improve the quality and efficiency of agricultural machinery operations and reduce operating costs. We have created 13 types of intelligent monitoring terminals and established a fully mechanized operation intelligent monitoring technology system. Overcoming the high concurrency access and big data analysis and processing technology of diverse heterogeneous data in wide area cluster agricultural machinery operations, we have built a full process mechanization industry cloud service platform based on big data. It can provide 15 cloud services including automatic navigation AB line sending and receiving, job quality analysis, job quantity statistics, job heavy leakage area detection, cross regional job detection, etc., and has achieved business operation in China, providing effective regulatory technical support for the standardized and efficient implementation of national agricultural machinery operation subsidy policies.
Keywords: Beidou application; Agricultural machinery and equipment industry; Automatic navigation of agricultural machinery; Intelligent monitoring of fully mechanized operations; Big Data Cloud Service Platform
7. Intelligent operation and maintenance solution
RockiiTransformational Smart Operation and Maintenance System-Rockii for Manufacturing
Reason for nomination: Rockii, the intelligent operation and maintenance solution from Rockwell, innovatively proposes scenario based business requirements for enterprise operations and maintenance support. In terms of the choice of technical architecture, from the infrastructure layer to the application service layer, the comprehensive scalability design of industrial security network, edge computing end, and Internet of Things services has been included. In addition to industry-specific intelligent operation and maintenance applications, Rockii's service packages cover ten major industries, providing customers of different sizes with a rich selection of versions to achieve different goals such as entry, standardization, and capability enhancement. By applying in key industries such as CPG consumer goods manufacturing, metallurgy, and mining, we have provided innovative paths for customers on the path of digital transformation in the post pandemic era.
Keywords: Industrial Internet of Things; Scenario based solution; Remote operation and maintenance
8. 5G based digital transformation solution; Connected Manufacturing”
Digital Transformation Solution by 5G“Connected Manufacturing”
Reason for nomination: NEC proposes digital transformation for smart factory construction; Connected Manufacturing” Solution, which includes; NEC DX Factory” And“ Customer DX” Two major solution groups& ldquo;NEC DX Factory” The AGV optimization control technology utilizes the low latency and large capacity characteristics of 5G to achieve simultaneous control of multiple AGVs, realizing the flexibility of large-scale customized material supply. Utilizing the ultra high speed and low latency characteristics of 5G to achieve remote robot operation, ensuring the safety of personnel working in hazardous areas and the active use of skilled workers, and providing feasible new working methods for the new normal& ldquo;Customer DX” The use of 5G technology (including local 5G) has enabled interconnectivity between enterprises and between enterprises and consumers, enabling full process management and big data analysis, optimizing demand, and reducing losses.
Keywords: Digital Transformation (DX); DX Factory;Customer DX;5G
9. Cloud edge end integrated collaborative solution based on Proficloud
Cloud-Edge-TerminalIntegrated Collaborative Solutions based on Proficloud
Reason for selection: Phoenix Contact has realized the cloud edge integrated collaboration platform by combining the Internet of Things, edge computing, industrial big data, virtual reality VR and other technologies. On the end side, by conducting tests on all produced electronic devicesUpgrades enable it to collect and transmit information data more intelligently and efficiently. On the edge side, edge devices represented by PLCnext can be equipped with multilingual and multi algorithm models to analyze and process data from edge networking devices, providing more efficient dynamic application services. On the cloud side, various types of data are collected in a unified data management center to achieve real-time data exchange and sharing between subsystems, filling the gap of traditional data collection isolation and solving the problem of difficult system linkage. The cloud edge end integrated collaboration platform can integrate, analyze, and calculate real-time data, and combine contingency plans to make judgments and implement warning linkage for abnormal situations. It can achieve efficient and convenient centralized management while reducing operating costs. It provides a unified application and management solution for smart factory construction from three levels: data access, data processing, and data application.
Key words: edge computing; Intelligent interconnection; Data driven; Preventive maintenance; Centralized management
10. Cross industry integration technology for future intelligent manufacturing
Intelligence+ BIM Technology =The Future Manufacturing
Reason for nomination: Autodesk serves the engineering construction industry and manufacturing industry, proposing to use the integration of BIM technology and manufacturing technology to improve technical capabilities, make it easier to build fully configurable models, review designs early in the process, and ensure customization according to individual needs. A fully digital model can be created for the production line, which can be tested in real life to improve flexibility and efficiency. For highly customized projects, product data can be directly inserted into the BIM environment during the design phase, and the system will then inform and explain any building model changes that may affect compatibility or installation. More importantly, Autodesk's derivative design, which utilizes high-performance computing and big data processing technology, can provide automated and intelligent auxiliary design technology for both the engineering construction industry and the manufacturing industry. Truly utilizing the same platform to improve design efficiency across industries and achieve differentiated competition.
(Source: The Paper News)