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3. Questions
3.1 Bottleneck problem of large-scale application of industrial robots
Facing the bottleneck problem of large-scale application of industrial robots, the application of industrial robots is generally based on non-standard integrated applications, and the payback period of intelligent factory transformation is generally long, basically the payback period of 5 years can be accepted by advanced manufacturing enterprises, but a large number of small and medium-sized enterprises can only accept the payback period of 2 to 3 years. The application of industrial robots needs to overcome the cost problems of robot selection, special mechanism development, robot programming testing and application services. Application switching is costly, and low individual application usage results in high R&D amortization. In addition, the industrial robot system's incomplete replacement of labor and high construction and maintenance costs lead to market fragmentation and high operation and maintenance costs.
The application problems to be solved are as follows:
1) Core controller and application software research and development issues, industrial robot control includes application and execution, is the core carrier of industrial robot application expansion and application level. How to form the application ecology of industrial robots, break the threshold of application development, and accelerate the replication of industrial robot application software are the main problems facing the application expansion of industrial robots.
2) Standardization problem driven by industrial robots, non-standard industrial robots have many hardware types, and various extended interface standards are complex. How to form a standard interface access model and develop application software of industrial robots using socialized and market-oriented models is a problem faced by the rapid application of industrial robots.
3) The modularization problem of special aircraft and parts of industrial robots, especially the secondary application development ability of hardware and software such as controllers, reducers, robot arms, vision modules, and systematic interface modules, is the main obstacle to the rapid formation of application forms of industrial robots.
4) How to carry out rapid design of industrial robot applications, such as using low-code tools, self-learning teaching, etc., to form a standard way of rapid development of industrial robots.
5) How to improve the service capability of the industrial robot industry, after the delivery of industrial robot applications, through remote online means, low-cost industrial robot services, and the formation of rapid training methods, reduce the threshold of localized services, which is also the core problem that hinders the widespread use of industrial robots.
China's industrial robot field has long been stuck in a state of neck, but China's fastener enterprises have the world's largest potential market, especially with nuclear power, wind power, automobiles, rail transit EMU, aerospace supporting many of the largest production and application markets, enough application opportunities to give birth to industrial robot leading enterprises in many fields. Thus, the rapid catch-up in the core technology and application technology, so that fastener enterprises from a labor-intensive development stage into the development stage of the widespread application of industrial robots, across the current labor and other costs caused by the development bottleneck.
3.2 Shortage of intelligent manufacturing system engineers
Intelligent manufacturing is the deep integration of a new generation of information technology and advanced manufacturing, which runs through all aspects of manufacturing activities such as design, production, management and service. In addition to professional talents familiar with digitalization, networking and intelligent technology, intelligent manufacturing is in urgent need of cross-professional talents with mechanical and electrical, industrial software, control, computer and industrial engineering and other foundations, as well as cross-disciplinary system level talents. At present, intelligent manufacturing system engineers are in short supply.
As the main source of intelligent manufacturing talents on the supply side, most of the talents trained in colleges and universities are mechanical and electrical and automation, and the disciplines are seriously divided, and there are shortcomings in the new generation of information technology such as network communication and industrial software. The new generation of information technology professionals have little knowledge and experience in electromechanical and automation. Although some undergraduate colleges and universities have set up new engineering majors such as intelligent manufacturing engineering technology and robot engineering, there is a large gap between the talent training goals of colleges and universities and the needs of industrial development, and the quality of talent training can not meet the actual needs of the development of intelligent manufacturing.
System-level talent is still scarce in the enterprise. With the acceleration of the integration of new generation information technologies such as artificial intelligence, big data, industrial Internet and 5G with automotive manufacturing technology, there is an increasing demand for system-level talents who are familiar with both new generation information technology and industry technology. The training cycle of such system-level engineering and technical personnel is long, and the training is difficult, and enterprises are faced with the dilemma that they cannot recruit and stay. The shortage of system-level talents restricts the rapid development of intelligent manufacturing in the industry, and the solution of the problem is imminent. Strengthen the training and introduction of talents, establish a system for training intelligent manufacturing talents, encourage enterprises to deepen cooperation with universities and scientific research institutions, accelerate the training of intelligent manufacturing talents with innovative ability and practical ability, improve independent innovation ability, and continue to inject vitality into intelligent manufacturing.
4. Experience and summary
With the development of The Times and the progress of society, in the current field of fastener manufacturing, intelligent manufacturing technology has become an important technical means. The flexible application of intelligent manufacturing technology plays an important role in improving the production quality and operating efficiency of the fastener industry.
Therefore, relevant government departments and enterprises should attach great importance to, combined with the actual situation, in-depth exploration of the upgrade and application of intelligent manufacturing technology, catering to the low-carbon economic model, continuous development and creation, based on the production demand in the field of fastener processing, give full play to the positive role of intelligent manufacturing technology, and create a good external market competition environment. At the same time, give enterprises certain financial and other resources to support, promote the in-depth application of enterprise intelligent manufacturing technology, and help China's fasteners continue to develop.
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