The in-depth application of enterprise intelligent manufacturing technology helps China's fasteners continue to develop-(1)
1. Status quo At present, the global digital wave is in the ascendant, and the deep integration of a new generation of intelligent technology and manufacturing industry is profoundly changing the development model of manufacturing industry. The development of intelligent manufacturing has become the key to the global manufacturing industry to reconstruct competitive advantages, shape industrial characteristics, and transform development concepts, and is also an important transformation strategy for China's manufacturing industry to achieve high-quality development. The report of the 20th National Congress of the Party proposed to promote the high-end, intelligent and green development of the manufacturing industry, which pointed out the way forward for the high-quality development of the manufacturing industry. The industrial Internet, supported by digital technology, promotes the efficient flow of production factors such as data and provides more support for enterprises to carry out product innovation, business model innovation and technological innovation. In line with the general trend of economic and social digital transformation, promoting the scientific and efficient digital transformation of enterprises in traditional industries is crucial to stimulate the vitality of business entities, shape new competitive advantages, and achieve high-quality development. As a branch of the manufacturing industry, in recent years, fastener companies are also accelerating the development of intelligent manufacturing, and the number of shortlisted intelligent manufacturing demonstration factories has nearly 20. Accelerate the integrated development of new generation information technologies such as artificial intelligence, 5G, industrial Internet, Internet of Things, blockchain, cloud computing, big data, and manufacturing: implement the "5G+ Industrial Internet" innovation action, and promote the construction of smart supply chain networks, smart workshops, and smart factories; Explore intelligent production planning and production process coordination; Support the construction of "machine replacement" in various industries and demonstration projects of intelligent manufacturing model factories (workshops). Fastener enterprises through intelligent transformation to promote enterprise machine replacement, production line change, product replacement, production efficiency increased by about 20% on average, product upgrade research and development cycle shortened by about 31% on average, product defect rate reduced by about 20% on average. Develop and transform intelligent equipment technology, and develop specialized intelligent equipment. In the composite CNC machine tools, industrial robots and integrated applications, intelligent special equipment and other aspects of the development of a number of advanced applicable products, to promote the realization of replacing imported products. Intelligent manufacturing, as the main direction of promoting the construction of a manufacturing power, has been highly valued in all sectors of government, industry, university and research, and has formed a high degree of consensus and actively promoted the implementation of the implementation. Governments at all levels have issued a series of intelligent manufacturing development plans, intelligent manufacturing engineering implementation guidelines, action plans, and special actions, and launched a number of smart manufacturing-related pilot demonstration projects, which have achieved fruitful results. Although fastener enterprises have established the main direction of intelligent manufacturing and achieved remarkable results in promoting the implementation, there are still many outstanding problems that seriously restrict the development of intelligent manufacturing. There are many bottlenecks at the technical level, intelligent manufacturing talent is very short, the enterprise foundation is weak and very different, regional development is very unbalanced, the main body of the implementation of intelligent manufacturing, the majority of enterprises have a strong demand for intelligent upgrading, but there are many puzzles and problems. GAF2023 Global Screw Jun Technology Conference and Expo, with the trend also set up the "high-end fastener intelligent manufacturing and smart factory, cost reduction and efficiency Conference" to carry out a thematic discussion. However, key fastener enterprises have generally completed digital and network transformation in the main areas, introduced digital tools and information software, and built digital factories, and data has gradually become an important production factor of enterprises. 2. Difficulties At present, the intelligent manufacturing data analysis is mainly to use a certain type of data in the information system, due to the lack of tools and methods to solve the problem of industrial big data clutter, and the data generated by different production links have different characteristics, so how to solve the common data problems and characteristics of intelligent manufacturing data problems? How to effectively use these data to achieve intelligent manufacturing human-machine collaboration scenarios? It is a key direction of cross-research between data science and mechanical engineering. (1) Fastener enterprise complex heterogeneous big data processing and standardization With the popularization and application of sensors and 5G networks, enterprise production data, operation data, equipment data, quality data and material and energy consumption data have been collected online, and industrial data has shown massive explosive growth. However, due to the limited modeling and performance capabilities of existing technologies, the processing and identification accuracy of complex and heterogeneous data cannot realize the value creation of industrial data. By introducing data mining and machine learning methods, establishing a universal standardized model and unifying data standards, the characteristics of industrial data can be better identified and the problems of large, scattered and large industrial data can be solved. (2) Intelligent scheduling for the whole process of data flow With the continuous increase of digital equipment in the production line, the orderly flow of data generated by different equipment constitutes the whole process of manufacturing data flow, and through the integration of data flow and production process, the enterprise scheduling has undergone major changes. Carry out in-depth intelligent data collection and mining on the relevant data information of planning and scheduling, material balance, predictive maintenance and other dimensions involved in the production process of the enterprise, and carry out intelligent scheduling algorithm modeling under different business scenarios such as just-in-time production and hybrid production involved in the production planning and scheduling process. It can better analyze various production business indicators of enterprises from different angles, and find rules, early warning anomalies, improve emergency response capabilities, and ultimately achieve the purpose of monitoring production activities, providing production efficiency, and supporting the production balance of enterprises. (3) Human-computer interaction and integration of intelligent manufacturing With the rapid development of three-dimensional processing capabilities of intelligent terminals in fastener companies and the emergence of low-cost sensing and display components, the virtual world and the physical world can be connected through intelligent terminals. However, due to the characteristics of big data in the industrial field, the collection and identification accuracy of human-computer interaction scenarios is low, and the efficiency and interaction degree of human-computer interaction cannot meet the needs of fastener enterprise scenarios. All aspects of manufacturing are independent of each other, and the cooperation is weak, which leads to the poor versatility of intelligent equipment. Through the establishment of human-machine interaction scenarios driven by data flow, the virtual information technology and the real economy can be comprehensively, deeply and intelligently coupled in the whole process of production and manufacturing and in various fields. Through real-time update and accurate control of data information, integrated optimization modeling research of design, process, manufacturing, management and logistics can be carried out. It can improve the precision of manufacturing execution and process control, and solve the common problems of human-computer interaction and integration. To this end, combined with the data DAAS, data transmission, perception interaction and other resources of fastener enterprises, from the five dimensions of R & D design, production and manufacturing, industrial assembly, industrial inspection and remote operation and maintenance, establish state perception, virtual reality presentation, man-machine collaboration and accurate execution of enterprise business management, and realize the automatic flow of data, perception analysis and decision execution in a visual presentation way. The realization of the virtual and real integration scenario of industrial data, so as to continuously drive, improve and enhance the production process, reduce the uncertainty of complex production systems, and promote the spiral rise of the business management level of various dimensions of the production process, has practical significance for accelerating the realization of intelligent manufacturing to support the development of the digital economy.
14 September-2023
