Under flexible manufacturing, AI+ software brings new opportunities for China’s robotics industry to overtake in corners!

With the obvious Matthew effect of the robot industry enterprises, the trend of leading the industry is intensifying, the characteristics of economies of scale are revealed, and the leading enterprises are gradually making up for the shortcomings of the industrial chain. Development is bound to be an all-round and systematic competition. The possibility of breaking down a single industry barrier is greatly increased, but the opportunity for overtaking will inevitably come.

The topic of overtaking on a curve has always been the focus of the Chinese robotics industry. How to achieve overtaking on a curve may be worth paying attention to by practitioners.

Different from the innovation of China’s Internet industry in the world, China’s large population, large market size, and high population density determine that e-commerce and other service platforms that do not have much technical content and technical barriers can follow the development of the Internet. The development is rising rapidly, but it is difficult to replicate in the industrial field. For example, industrial robots and other fields have been out of the country for more than ten years. Behind this is the accumulation of logic in the gradual formation of the entire mature industrial chain system. There are new development opportunities, and find suitable ideas and means, so as to quickly catch up with the pace of foreign countries.

Flexible manufacturing brings new opportunities for overtaking

Nowadays, the general direction of intelligent manufacturing has become an inevitable development of the industry. Whether it is German Industry 4.0 or Made in China 2025, the core of intelligent manufacturing is production flexibility.

From a global perspective, most of the manufacturing industry is still in the rigid manufacturing stage, but some flexible manufacturing systems that started early in intelligent manufacturing have been able to achieve some personalized customization requirements, such as the rapid change of production in the clothing industry. Clothing customization and customized production under temporary needs have become the norm. For example, Nike, which relocated its factory some time ago, is undoubtedly a pioneer in the intelligent manufacturing industry. Most of Nike’s success lies in its experience in planning and manufacturing, although its personality The price of customized customization is increased by 30%, but it can undoubtedly meet a wider range of manufacturing needs.

Nike’s intelligent manufacturing logic also proves from the side that intelligent manufacturing needs to start from the level of consumer demand, and then push it backwards to the overall adaptation and scheduling of the manufacturing industry. need. This highly variable production demand, for the equipment manufacturing system, actually puts forward new requirements from the bottom layer to the top layer of the equipment, as well as the manufacturing system, software, and equipment support technology. , and then to the entire line management operation, ERP, material system, etc., all put forward scientific, technical and methodological overall requirements, this is a large system.

Nike has not been completely successful, because there are still many problems in realizing flexible manufacturing. For example, it is difficult to fully open the control system integrated in a factory at present. For example, under these factory control systems, the hardware and software problems of dynamic reconstruction according to requirements are difficult. These problems still exist, making it difficult for the current manufacturing system to achieve dynamic scheduling of resources and products at the industrial level. Because under the new personalized needs, the manufacturing system is actually only the process execution layer, but at the planning and scheduling level and at the logistics level, there are still detailed problems such as material supply and ERP. Nike has only achieved a small part of it, but at present has been able to do well.

From the point of view of the control system at the underlying equipment level, the control system is an important source of implementation for the next step of industrial automation. The control system is not just the traditional equipment-based control system. In a wide range, it includes the control system of the entire line, because the operation requires dynamic flexibility, and many operations are completed by the control system. In a flexible manufacturing line, because the actuator basically does not change, the control system needs to be able to ensure that it can be changed during operation, which is an ideal solution. Under the direction of flexible manufacturing in the next stage, whether the overall design and local breakthrough of the control system can be achieved is the focus of overtaking in a corner.

Changes brought by artificial intelligence + software

Of course, it is not just a breakthrough in the control system. Due to the general direction of flexible manufacturing, the manufacturing process will become more and more complex, and more and more key technologies will be involved. To overtake, in essence, it is necessary to discover some disruptive technologies and products.

For example, whether an enterprise can mine more information and needs through data, on the one hand, it can transform production scenarios through data to improve product quality, and on the other hand, it can optimize the manufacturing process and better meet the requirements of flexible manufacturing in production scenarios.

The root of data extension actually lies in algorithms and software.

In the traditional track, the current high-precision manufacturing capacity is still weak, and it still takes time to break through the difficulties of smart manufacturing or dynamic and unstructured environment manufacturing. Insufficient accumulation, at the same time, because there are not too many leading foreign companies to block patents and technologies, as long as some breakthroughs in cutting-edge technologies are achieved, it is easy to complete the development of new routes. Therefore, in terms of software and algorithms that are closely integrated with artificial intelligence, my country still has a very large opportunity for overtaking. Achieving corner overtaking requires new technology to change from a follower to a parallel or a leader.

As a new method in the industrial field, artificial intelligence technology is undoubtedly an opportunity and breakthrough point for overtaking on a curve. The deep integration of robots and AI is a very important development direction. At present, there is a big gap between the dexterity and autonomous decision-making ability of robots compared with humans, which makes the realization of some processes still vacant, and the proportion of robots replacing humans is less than 10%. But it is foreseeable that in the future, in the industrial field, wherever perception, reasoning, decision-making, and all places that require the use of the brain, will eventually have the opportunity to realize the deep integration of robots and artificial intelligence, such as making robots more autonomous like humans. , the interaction between robots is more natural, and they all need to be closely integrated with artificial intelligence.

However, the entry of artificial intelligence into the industrial field must not be achieved overnight. It must be embedded from the primary process and process, and then iterated from generation to generation. For example, after the gradual development of artificial intelligence technology, the smart factory will gradually change from the traditional method based on planning and scheduling to focusing on AI. Adjustment, debugging performed by AI can reduce human intervention and bring a new revolution from the level of production line scheduling. Reasonable production line scheduling requires production line resources to be schedulable, which means that it is also necessary to consider hardware such as controllers, and whether the existing architecture is suitable, and after dynamic reconstruction, it is necessary to ensure that the production line and different product characteristics can be guaranteed. Implementability and reliability.

Another change brought about by intelligent manufacturing is that in the future, regardless of production line scheduling or AI decision-making, the knowledge of application technology should be solidified in the end. Therefore, application software will essentially be a very big catch-up direction. In terms of algorithms and intelligence, there is no doubt that China has the opportunity to achieve overtaking on curves. Software is a high-threshold industry, which requires support and long-term accumulation before it can eventually become a core technology, but it is also most likely to form industry barriers with applications, which can provide necessary protection for the long-term development of enterprises in the later stage. Intellectual property protection and technical thresholds have been worked hard to form a particularity in the design structure, thereby increasing its overall advantages.

Due to the major changes in the production methods of intelligent manufacturing, under the general direction of flexible manufacturing, the product thinking of Internet companies is actually worthy of reference for industrial production enterprises. For example, in the target-oriented platform technology route, since many production lines were originally relatively fixed, flexible production lines make multi-variety, small batch, and rapid changes become the mainstream of development. Under the platform route, software and hardware technologies tend to serve better Focusing on the goal and serving the needs of customers, in simple terms, it can help customers make money and achieve a win-win situation for all parties. At present, collaborative robot companies such as Elite, Luoshi, and Jieka are constantly advancing along this kind of platform-based flexible manufacturing route. Under this platform-based thinking, companies are more likely to produce revolutionary innovations.


With the obvious Matthew effect of the robot industry enterprises, the trend of leading the industry is intensifying, the characteristics of economies of scale are revealed, and the leading enterprises are gradually making up for the shortcomings of the industrial chain. Development is bound to be an all-round and systematic competition. The possibility of breaking down a single industry barrier is greatly increased, but the opportunity for overtaking will inevitably come.

Most small and medium-sized enterprises need to face downstream customers more directly and quickly, design complete solutions from a systematic perspective, meet user needs with a more down-to-earth thinking, maximize creative efficiency, achieve overall system optimization, and make it easier for users to accept , the plan is also more practical, which can resist the product substitution effect of large enterprises.

However, there are still opportunities. If companies can increase investment in software + AI + algorithms, they need to form a systematic awareness, focus on the core key processes of the industry, and combine technology, data and artificial intelligence algorithms. It is entirely possible for a certain segment in the future. Make great strides in innovation and breakthroughs.

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