Intelligent scheduling system and method for intelligent stacking robot

By using a three-dimensional intelligent size recognition and adaptive palletizing scheme generation module, the problems of poor specification adaptability and insufficient visual recognition accuracy of tea product palletizing equipment have been solved, realizing intelligent palletizing and efficient storage of materials, and improving equipment utilization and space utilization.

CN121073148AActive Publication Date: 2025-12-05SHANGHAI SMARTSTATE TECH CO LTD
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Patent Information

Application Number
CN202511588131.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-03
Publication Date
2025-12-05
Estimated Expiration
2045-11-03

AI Technical Summary

Technical Problem

Existing tea product palletizing technologies suffer from poor specification adaptability, insufficient visual recognition accuracy, rigid scheduling strategies, low equipment utilization, and the inability of existing technologies to effectively link detection mechanisms. The existing systems also lack technical problems in the field of product palletizing technology.

Method used

By employing a three-dimensional intelligent size recognition module, a material density estimation module, a pneumatic gripper stroke adaptation module, and an adaptive palletizing scheme generation module, combined with a WMS storage location scheduling module, the optimal palletizing scheme is generated through an intelligent planning algorithm, realizing material density estimation, pneumatic gripper stroke adaptation, and storage location matching, and constructing an integrated scheduling model.

Benefits of technology

It improves the accuracy of material measurement, realizes intelligent palletizing of materials, enhances equipment utilization and warehouse space utilization, reduces material breakage and changeover time, and improves the flexibility and adaptability of the production line.

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Abstract

The invention provides an intelligent scheduling system and method for an intelligent stacking robot, and the method comprises the steps: S1, collecting the point cloud data of a material through a depth camera, recognizing the size of the material, and obtaining the weight of the material; s2, the material volume is calculated according to the material size, and the density value is obtained by combining the material weight; stroke parameters of a pneumatic clamping jaw are calculated, and a stacking scheme is generated through an intelligent planning algorithm; s3, a pneumatic clamping jaw is controlled to be opened and closed based on the stroke parameters so as to grab materials, and the stacking scheme is executed to complete material stacking; and S4, detecting the appearance of the stacked materials, and enabling a WMS storage location scheduling module to distribute the materials to proper storage locations according to a detection result. According to the method, aiming at the morphological characteristics of the flexible materials, a dimension identification method combining convex hull analysis and abnormal value filtering is adopted, the irregular object measurement precision is improved, and the problems that in the stacking link of the multi-specification flexible bulk materials such as tea leaves, model changing is slow, damage is high, and dispatching is low in efficiency are solved.
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