Fourth, the typical application of the industry The combination of AI and manufacturing has its fundamental purpose of improving efficiency and reducing costs. At this stage, the AI's empowerment in the manufacturing industry is mainly concentrated in the industrial Internet, defect detection, disorder sorting, and smart handling. The start-up companies that design the industrial Internet and defect detection do not need sorting and smart handling. On the one hand, the industrial Internet and defect detection started earlier and have a long development practice. On the other hand, it also reflects the access to disorderly sorting and smart transport. Point higher. The proportion of financing for industrial Internet and defect detection is greater than the sum of disordered sorting and smart handling, respectively, indicating that the industry Internet and defect detection areas are more easily accessible for financing at this stage. (I) Industrial Internet Platform Applications 1. Customized washing machine based on Haier COSMOPlat platform Haier COSMOPlat platform architecture diagram Based on the COSMOPlat platform, the individual needs of the washing machine users interacted on the public earning platform. 9.9 million users and 57 design resources participated in the creative design of new products. After the innovation was established, 26 external professional teams were introduced through the open platform to jointly achieve research and development. Technical problems: After the product prototype passed the certification, 26 online marketing resources and 558 commercial areas were used to make an appointment; after the user placed an order, the module purchase and intelligent manufacturing were started, and the participation of 125 module resource and 16 manufacturer resources was started. Under the product customization and flexible production, the product is delivered to the user's home in a timely and timely manner, through a smart logistics network that covers 90,000 vehicles and 180,000 service personnel. In the process of using the product, the user can continue to interact with the community on the basis of no-cleaning, and give birth to a series of products that are washed with water and washed without water (tubes). 2. Cooperative Design of Henan Aerospace Hydraulic and Pneumatic Company Based on INDICS Industrial Internet Platform Henan Aerospace Hydraulic & Pneumatic Technology Co., Ltd. is a manufacturer of high-end hydraulic and pneumatic components of China Aerospace Science and Industry Corporation. In the past, there were problems such as duplication of labor, low work efficiency, long product design cycle, and unreliable product quality. Through the application of the INIDICS platform, Henan Aerospace Aerodynamics Co., Ltd. first implemented the cloud design and established a virtual prototype system based on the cloud platform covering multi-disciplinary specialties of complex products to achieve multidisciplinary design optimization of complex products. The second is to realize the collaborative R&D design and process design with the general design department and the assembly factory. The third is to achieve cross-enterprise planning and scheduling, from the ERP master plan to the CRP's capability plan to the CMES's operation plan's entire process management and control, to achieve the plan progress collection feedback and quality acquisition analysis. INDICS Platform Architecture With INDICS Industrial Internet Platform, the product R&D design cycle of Henan Aerospace Hydraulic & Pneumatic Co., Ltd. is shortened by 35%, the effective utilization of resources is increased by 30%, the production efficiency is improved by 40%, and the consistency of product quality is greatly improved. (B) Defect detection area Visual inspection of Nanjing Litai Auto Parts Vision Inspection Visual inspection technology is an image processing technology based on machine vision. The visual inspection system automatically detects the entire product, forms an image and analyzes the image, and then makes a decision. The typical application of Nanjing RiTai Technology is the visual inspection of auto parts, which performs a full range of inspections on the heart of automobile manufacturing to eliminate product size defects, surface flatness and surface defects. It plays a vital role in controlling the quality of auto parts. It not only solves the outflow of substandard products from the source, but also enhances the company's core competitiveness, and it also guarantees the safety of follow-up personnel. (III) Application in other fields 1. Smart Logistics: Jingdong Unmanned Warehouse MUJIN3D Disorder Sorting System The "Asia-1" full-process unmanned warehouse realizes the entire process of product warehousing, storage, packaging, sorting, and system-wide intelligence and unmanned. It has milestone significance in the entire logistics field, and it is The logistics field is at the leading level in the world. The 3D unordered sorting system developed by MUJIN Company, through the 3D vision system and the unordered disordered sorting robot control system, will register hundreds of thousands of items in unmanned warehouses for sorting, palletizing, and loading. Library, out of storage and other work, a system can adapt to hundreds of thousands of products at the same time sorting inspection, intelligent identification, will need to manually sort the work into the compatibility of the machine, to achieve without the need for teaching can be completed manually The difficult and difficult operation of sorting successfully solves the most difficult part of logistics unmanned, simple and intelligent. 2. Intelligent Operation Case: Starnet Ruijie The current ERP system of StarNet Ruijie integrates with PDM product data management system, MES manufacturing execution system, and EC e-commerce system, and is now integrating with WMS warehouse management system. And also made some innovative attempts, such as the integration of automatic equipment and ERP, EC and other systems, to achieve automatic feeding between the production line and the warehouse, and achieved considerable results. In the IQC inspection, warehouse automation equipment and production line also introduced more automated equipment and production lines, and further integration with the IT system, for greater benefits. V. Industry pain points facing AI manufacturing Sai Chi Institute of Industry analysts believe that although the current integration of artificial intelligence and manufacturing has shown some results, but from a global perspective, the field is still more cutting-edge, in the technical framework, implementation path, industry standards and industrial ecology and other aspects There are certain development bottlenecks. The first is that the overall development of the industry is not yet mature. As a basic and versatile technology, the application of artificial intelligence in the industrial field requires the cooperation of many parties in the industry to carry out a large number of fusion innovation explorations. It also has high requirements on the cost and reliability of related products and solutions. From the existing practice cases, it can be seen that the current integration of artificial intelligence in the manufacturing industry is mainly driven by data and knowledge-intensive manufacturing companies and Internet companies or software companies with the advantages of artificial intelligence technologies. The development costs, technical barriers and application coverage are relatively narrow, which makes artificial intelligence technology temporarily not meet the conditions for promotion in the manufacturing industry. Followed by the industry standards to be improved. Artificial intelligence applications in the industrial sector require the modeling of large sample-based datasets, which are often derived from smart equipment and on-site deployment of independent sensors. However, the current data communication standards in the industrial field are generally not compatible with each other and cannot meet the basic requirements of the artificial intelligence technology for optimizing the amount of modeling data. Taking the industrial field bus as an example, there are currently more than twenty kinds of communication protocols that are common in the industry. These protocols cannot be directly interconnected and interoperable, making the situation of information islands widely existing in the industry. Once again, the industrial development security system needs to be improved. As a kind of information technology, artificial intelligence technology itself has certain security risks. After it is introduced into the industrial field, it will superimpose and enlarge the functional risks of the industrial system itself. This will directly endanger life safety and national security. In addition, in the face of certain ethics-related choices, the research and development of artificial intelligence systems also lacks relevant legal standards. For example, inputting pictures with spoofed features into an artificial intelligence video recognition system may cause misjudgment of the system and trigger a series of dangerous actions. In an industrial accident, the artificial intelligence emergency management system is confronted with major assets and personnel safety. There is no authoritative processing standard when it cannot be taken into account. Sixth, the future development trend of AI manufacturing industry As a frontier field with great development prospects, the integration of artificial intelligence and manufacturing industry still needs multiple efforts by the government and industry. Sai Chi Institute of Industry analysts believe: The first is to cultivate the industrial development environment. Governments and industry associations need to guide the application of artificial intelligence technology in ICTs, the Internet, and other fields to the manufacturing industry by nurturing solution service agencies and conducting pilot demonstrations, especially in lightweight design, energy saving, and process optimization. A number of mature solutions have been developed in areas where current artificial intelligence, such as quality improvement, operation and maintenance, has already been involved. At the same time, we must also focus on the needs of systems development, on-site operations, and management planning at different levels, and promote the cultivation of artificial intelligence ladder talents in different types and levels, strengthen retraining of employees, and make changes in industrial intelligence. Work on new and old kinetic energy. The second is to accelerate cooperation and advance industry standards. Industry needs to develop multi-party cooperation by organizing alliances and other forms to meet the needs of various industrial classification artificial intelligence applications for data collection, application deployment, etc., and jointly develop standardized data interfaces and application reference architectures for machine equipment, industrial control systems, and industrial Internet platforms. To ensure that industrial data supporting artificial intelligence applications can be applied quickly and effectively. Again, it is necessary to coordinate and build a safeguard system. For industrial application scenarios where artificial intelligence technology may be widely covered in the future, the legislature and industry associations jointly research and formulate industry standards concerning application security and ethics, such as application specifications and development codes, to avoid possible future related risks as much as possible. . At the same time, the government needs to speed up the establishment of an industrial intelligence public evaluation service platform, strengthen security testing services for industrial intelligent systems, and formulate and improve the code of practice for safe operation of artificial intelligence equipment and systems in industrial production and application scenarios. The product are CS601 Digital Pressure Gauge, CS108 Digital Pressure Gauge, CS602 Intelligent Pressure Calibrator. Pressure Gauge Calibration Standard,Pressure Gauge Calibration Equipment,Pressure Gauge Calibration Services,Digital Pressure Calibrator Changshu Herun Import & Export Co.,Ltd , https://www.herunchina.com