AGV (Automated Guided Vehicle) is an “automated guided transport vehicle”, which refers to a transport vehicle equipped with an electromagnetic or optical automatic guidance device that can travel along a prescribed guidance path, with safety protection and various transfer functions. . The world's first AGV was converted from a towing tractor born in 1953. It has a pocket like a bicycle and transports goods along a wire in the air in a grocery warehouse. With the rapid development of AGV in Europe, America, Japan, and South Korea, AGV was introduced into the country at the end of the last century. This automatic guided vehicle can be widely used in automotive, tobacco, pharmaceutical, food and beverage manufacturing scenarios, as well as airports, terminals and other warehouses. The logistics industry scene has greatly improved the human-to-efficiency ratio of modern production.
According to IDC, by 2019, 35% of leading institutions in the logistics, medical, utilities and resources sectors will try to use robots to automate operations. From the perspective of the domestic market, the demand for AGV robots in many new industries is constantly rising, especially in the automotive, home appliance, tobacco industry and other manufacturing markets. While the market demand is steadily increasing, the automation and intelligent warehouse transformation in the logistics field will be the main application of AGV robots. market. According to GGII data, in 2017, the sales volume of AGV in the Chinese market was about 12,800 units, an increase of 56% year-on-year, of which logistics warehouse AGV was approximately 10,500 units, an increase of 50% year-on-year, and logistics warehouse AGV accounted for 82% of the total AGV. It is expected that the annual growth rate of China's intelligent storage market will remain at 20% -30% in the next 3-5 years, and the market size is expected to reach 140 billion yuan by 2020.
As early as 2012, Amazon, a global e-commerce retail giant, acquired Kiva for $ 775 million, with the aim of improving internal logistics efficiency, and announced that since 2019, Kiva will no longer serve any external customers. For Amazon, the acquisition of Kiva is not only for the strategic needs of its own market, it also takes into account the information security part of the IT department when upgrading the AGV system, and information security is extremely important for any enterprise.
From traditional AGVs to warehouse robots, Oukai's warehousing material management system implements efficient, fast, and accurate storage of materials in and out of the storage system, making storage more standardized and orderly, and fully improving space utilization and transportation efficiency.
Ou Kai Pokemon has five hybrid guidance modes: two-dimensional code, magnetic stripe, magnetic nails, laser, and natural navigation. It has a patent of a dual lifting mechanism design, and the maximum speed can reach 80 m / min. With core technologies such as artificial intelligence technology algorithm system, AGV central dispatching system, and storage management system, it is composed of multiple storage robots, movable shelves, and picking inventory workstations and other hardware systems to complete various picking, handling and distribution. The use of this project has improved the speed and accuracy of data input in all aspects of cargo warehouse management, ensured that the enterprise accurately grasped the real data of the inventory in a timely and accurate manner, and reasonably maintained and controlled the enterprise's inventory. Save more than 50% of labor costs for the warehouse, and achieve order accuracy of up to 99.9%.
The traditional logistics industry relies heavily on manpower, and warehouse construction lacks long-term planning. Most of them use manual management modes, which leads to inaccurate warehouse data, and management personnel cannot deal with shortages and stockouts in a timely manner, which affects the normal production and operation of enterprises. With the addition of AI technology, data analysis, algorithms, and business process optimization can quickly improve operational efficiency. For example, the combination of sales order prediction and consumable optimization can effectively reduce the consumption of consumables, save warehouse land, and create more opportunities for the company. More profit.