• System composition introduction
• System hardware description
Step1: After the intelligent car receives the task sent by the MES system, it moves to the material extraction area.
Step2: After tracking and positioning, the camera installed at the front end of the robot reads the two-dimensional code on the material box.
Step3: The gripper installed at the front end of the robot will successively grab the material box to the material rack of the intelligent car.
Step4: Move the intelligent car to the unloading area.
Step5: The camera installed at the front of the robot is positioned, and the position offset is fed back to the robot.
Step6: The gripper installed at the front end of the robot will grab the material box to the material storage shelf.
Step7: After unloading, the robot moves to the empty box station and grabs the empty box in the fixed position of the material rack to the material rack of the intelligent car.
Step8: Move the smart car to the empty box area and remove the empty box.
Step9: The intelligent car returns to the waiting area and waits for the next task.
After 5 hours of continuous use, or the user in the production gap period, the control car tracks into the charging station for charging.
*Reduce the company's reliance on labor costs, automated warehousing is mainly relying on computer technology and AGV technology for warehousing operations, and the requirements of the operation site are not high.
*Ensure the safety of the storage of the goods
• The application of automated storage can rely on the function of the storage management system to achieve the safe movement of the goods in the warehouse, on the one hand, to avoid the situation that may cause damage to the goods in the manual operation, on the other hand, it can greatly improve the security of the storage of goods
*Improve work efficiency and help establish a smart factory management system
• The application of automation technology can efficiently find the storage location of the goods, and realize the rapid operation of products in and out of the warehouse, so as to effectively improve the work efficiency, and carry out the statistics and update of the material storage data according to the cycle.
• In the future, after deep learning, detection robots can work together on the same platform.