AGV trolley helps enterprises realize intelligence

For companies, to realize intelligent manufacturing, AGV cars play a very important role. However, production equipment and production do not seem to be the key. The key lies in people's thinking. Enterprises must break the traditional concepts of the past, use innovative thinking to manage, and actively develop new business models and production models. Intelligent manufacturing should be understood as a process of in-depth integration of intelligence, informationization, and technology. It is also recommended that enterprises should combine their own actual conditions and carry out targeted technological innovation and transformation and upgrading to avoid useless work.

Many companies believe that the large-scale application of robots is intelligent manufacturing. This misunderstanding is due to the incorrect understanding of the relationship between robots and intelligent manufacturing. To put it simply, intelligent manufacturing requires a higher degree of flexibility for AGVs. Robots belong to the scope of intelligent manufacturing and are important intelligent equipment for intelligent manufacturing. However, intelligent manufacturing does not completely include robots. Therefore, intelligent manufacturing is not equal to robots, it is the embodiment of digitization and intelligence in the entire cycle of product design, production, processing, and sales.

For example, if a company wants to use AGV cars on the production line, instead of buying a few AGV cars directly, start using them. The plan should be based on the situation of the production line, the equipment to be moved, the indoor environment of the factory, and so on. The purpose of companies using smart AGVs is not just for machine replacement, but also to understand the entire production process through the AGV trolley, analyze the data automatically generated by the AGV trolley backstage, and continuously optimize the production process to improve the flexibility of the AGV. Only in this way can we realize the intelligence of manufacturing.