The wave of intelligent manufacturing is coming, and robots have gradually penetrated into all walks of life. Food manufacturing is an important pillar of the national economy. However, with the gradual weakening of the demographic dividend effect, the labor cost of the population-intensive food industry has risen year after year. At the same time, the production requirements of the food industry have become more and more stringent in the market, not only requiring the pursuit of high-quality production, but also improving the production efficiency of the production line.
The growth rate of the use of AGV industrial robots in the food and beverage industry is overtaking traditional industries such as automotive and electronics. That is to say, after the automobile and 3C, the food industry will bring a new imagination to the output value of the robot industry.
As a typical traditional industry, the food industry has adopted manual handling or manual forklift handling for a long time in the past to solve the problem of warehousing handling. At the same time, on the production line, in the past, food companies also mainly used manual production lines to communicate through telephone and other methods. This way of manual communication creates a lot of problems.
For example, there are information omissions in the communication process, or there will be violent handling during manual handling; and the inventory warehouse management will be negligent and lead to the detention of goods, which will cause losses to factory management and operations. According to the introduction of the representative of the scene party, factories in the food and beverage industry will have many special features.
Robot-based unmanned handling and automated handling can not only solve these problems, but also connect with back-end ERP and other systems, allowing enterprises to realize digital production and warehousing management, reduce the loss of related bad materials and bad debts, and improve the production line rhythm.
From the overall classification point of view, the application of AGV industrial robots in the food industry mainly includes the following categories: packaging robots, palletizing robots, processing robots and so on.
Palletizing with robots is a common demand in many industries. The speed and efficiency of robot palletizing are much higher than that of manual labor, and it can also handle heavy goods, saving labor costs.
And for enterprises with complex production links, in addition to "point-to-point" material handling, a more urgent need is to realize the docking of multiple production links. Because of the high flexibility, the robot of the micro-robot can realize different functions according to the needs of different industries and different environments.
It is understood that the products of the micro-robots have covered new energy, 3C electronics, manufacturing, household appliances, food, metallurgy, tobacco, chemical and other fields.
Robots and other intelligent equipment can improve the overall production and operation efficiency of the factory, make the operation more standardized, reduce potential safety hazards, and at the same time solve the problems of difficult land use, labor, and human management. With the development of the epidemic, the need for automated logistics in factories will become more urgent.
From the overall situation, the landing of robots in all walks of life will definitely become more popular. But at the same time, the accompanying problem is that there will be rapid changes in the business form of the application side, and the application scenarios will be more subdivided and complex. The business scenarios and business models of end customers are very diverse, and the demand for intelligent logistics will continue to deepen.
In this case, as an overall solution provider, robot companies need to respond in a timely manner to meet the needs of these more diverse scenarios.
According to the observation of the Chief Scientist of Micro Robotics, customers are most concerned about two points: the first point is the return on investment, and the second point is the product experience.
In terms of return on investment, the overall solution of the robot is controlled within six months to three years; and in terms of customer experience, the robot has innovated both hardware and software for unmanned forklifts, from multiple scene elements. Start to improve customer experience in all aspects.
From the perspective of procurement mode, robots are basically sold or leased as a whole. In these two modes, the current scenario side prefers to buy the whole machine + part of the lease.
