The working principle of shelving system machines, such as stacker cranes in automated warehouses, is usually based on the following key aspects.
Firstly, there is the identification and localization of storage units. The shelving system machines are equipped with advanced sensors and recognition technologies, such as barcode scanners, RFID readers, etc. When the goods enter the system, the relevant equipment reads the label information of the goods, accurately identifies the type, specifications, etc. of the goods, and feeds back the location information of the goods to the control system.
Secondly, path planning and navigation. The control system plans the optimal driving path through algorithms based on the target storage location and shelf layout of the goods. Taking the stacker crane as an example, it relies on guide rails or laser navigation to run smoothly along a predetermined path in the shelf aisle, ensuring accurate arrival at the target cargo location.
Furthermore, cargo storage and retrieval operations. After reaching the target location, the shelving system machine uses mechanical arms, forks, and other devices to access and store goods. For example, the fork can flexibly adjust its extension length and height according to the size and storage requirements of the goods, accurately picking up or placing the goods.
At the same time, security mechanisms run through the entire process. The system is equipped with multiple safety protection measures, such as limit switches to prevent the machine from exceeding its operating range, and light curtain sensors to detect whether there are foreign objects blocking, ensuring safe and reliable operation.
Through the above working principles, the shelving system machine has achieved efficient and accurate storage and handling of goods between shelves, greatly improving the automation level and work efficiency of warehouse management.