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With the rise of labor costs, the profit margins of traditional manufacturing industries are further compressed. Only by cutting costs can companies obtain greater returns.
In recent years, multi-joint type industrial robots have been widely used in the manufacturing industry for welding, assembly, grinding, testing, packaging and other work. With the breakthrough development of driverless technology, mobile robots have begun to rise rapidly. These mobile platforms with autonomous navigation capabilities can reach every corner of the factory, easily complete the handling tasks of various materials, semi-finished products or finished products, and greatly reduce the cost of enterprises. investment in labor costs.
In the manufacturing workshop, the handling of materials and products is a very common task. To complete a production task, a large amount of goods may be transferred. If these tasks are handled manually, it will not only be inefficient, affect the delivery time, but also easily cause personal injury. . Especially for the younger generation, they are more reluctant to engage in such low-end, boring and low-paying jobs, and may even have bad emotions.
Compared with traditional manpower, mobile robots have lower costs. At present, the price of a better mobile robot is between 200,000 and 300,000, and the annual salary for recruiting a general worker is 80,000, which is 160,000 based on two shifts. The cost will be recouped in years. With the continuous breakthrough of domestic core components, the cost of robot products has dropped significantly, and the use of robots will be more cost-effective than manpower.
In addition, in terms of flexibility, mobile robots are more flexible than traditional handling equipment. The new generation of mobile robots adopts the laser SLAM navigation method, which has the function of autonomous obstacle avoidance, and does not need to lay fixed guide rails or magnetic strips. In this way, many troubles in deployment are saved, especially when changing the process, it is only necessary to rebuild the map and plan the route inside the robot, thereby further saving the cost of factory deployment.
At present, mobile robots are mainly used for the handling of production materials in the manufacturing process, including the loading from the warehouse to the production line, the flow of defective products between the production line and the production line, as well as the testing and inspection of semi-finished products, and the handling of finished products, etc. . The use of mobile robots is not only to reduce the labor cost of enterprises, but also to comply with the general trend of intelligent manufacturing transformation and upgrading, so that factories can meet the requirements of equipment networking, monitoring and analysis under the Industry 4.0 mode.
The China Mobile Robot (AGV/AMR) Industry Alliance and the New Strategic Mobile Robot Industry Research Institute will jointly publish the Collection of Classic Cases and Technology Development of Mobile Robots for Industrial Applications in China (2021 Edition) at the annual meeting of the CMR Industry Alliance
The collection selects 31 classic cases from 31 companies, covering many industries such as auto parts, construction machinery, third-party logistics, 3C electronics, medicine and medical care, and has a high level of representation in terms of product innovation and technical strength. It is a classic work of mobile robots for industrial applications in China. The list of selected cases is as follows:
Mobile robots are deeply applied in various scenarios
In a high-speed production line, the delay of any station will affect the efficiency of the entire line. Therefore, the production manager must ensure an efficient and stable supply of materials in each production link. At present, the speed of mobile robots can reach 2 meters per second, which can provide efficient material transportation. In the mode of Industry 4.0, the production line may have to change the types of products frequently, and a flexible production line is necessary. Mobile robots can plan independently and realize point-to-point handling, which will play a great role in the flexible manufacturing industry. effect.
At present, there are several application scenarios of mobile robots in the workshop. The first is material truck handling. For example, the mobile robot transports the ingredients to the warehouse area for storage, or to the distribution area for manual or automatic sorting, and then pulls it to the feeding point for standby. The whole process is carried out under monitoring, and the operator can flexibly Adjust and optimize equipment running paths to achieve higher usage efficiency.
The trend of disappearing demographic dividends is irreversible, traditional manufacturing will lose its advantages, and intelligent manufacturing models based on technologies such as robots and the Internet of Things will be the core competitiveness of future factories. Facing the needs of the rapidly changing market, traditional factories must transform into smart factories to further improve the automation and flexibility of production lines, so as to flexibly handle small batches and multi-batch production tasks, and use new generation information technology to maximize the benefits of production lines change.
In the future, factories will use a lot of robots, but it is not completely a replacement of robots. At least from the current situation, it is still difficult to achieve an unmanned production line. Therefore, human-robot collaboration will be the general direction of the future manufacturing industry, and robots will cooperate with workers to better complete production tasks.
In addition, the Industry 4.0 model will become the mainstream of future manufacturing, which includes artificial intelligence, Internet of Things, virtual reality, robots and other technologies. As an important part of Industry 4.0, mobile robots are improving in the direction of high speed, high precision, more openness, flexibility and intelligence, and will be better integrated into intelligent production systems in the future.