Agv fork positioning method and device based on ranging sensor analysis and medium

By integrating distance measurement, vision and orientation sensors on the AGV and combining them with multi-dimensional data analysis, high-precision positioning and safe operation of the AGV fork are achieved, solving the problems of low positioning accuracy and efficiency and improving operational safety and efficiency.

CN119898709BActive Publication Date: 2025-10-17ZHUHAI MAKERWIT TECH CO LTD
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Patent Information

Application Number
CN202411987265.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-31
Publication Date
2025-10-17
Estimated Expiration
2044-12-31

AI Technical Summary

Technical Problem

AGV fork positioning has low accuracy and efficiency, which affects operational safety. Especially in complex environments, it can easily lead to inaccurate material placement, causing equipment damage and uneven materials.

Method used

Distance measurement sensors, visual sensors and azimuth sensors are installed on the AGV to form a sensor acquisition equipment group. Multi-dimensional distance measurement data is collected, and environmental position positioning is performed by combining image and azimuth data. The local reference space is extracted through the three-dimensional simulation space, and the fork position is analyzed and optimized.

Benefits of technology

It improves the positioning accuracy and operation safety of AGV forks, reduces material placement errors, ensures the safety of equipment and materials, and optimizes operation efficiency.

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Abstract

The application discloses an AGV fork positioning method and device based on ranging sensor analysis, and a medium, and relates to the technical field of data processing.The method comprises the following steps: configuring ranging, vision and orientation sensors on a target AGV, and constructing a sensor collection device group; activating the device group, collecting multi-dimensional sensing data of the target AGV, including distance, image and azimuth angle data; using the image data to position the environment, and traversing a three-dimensional simulation space of a target scene to extract a local reference space; combining the multi-dimensional sensing data to determine the first relative position of the target AGV fork in the local reference space; analyzing the local reference space to obtain the second relative position of the target object, comparing the difference between the two to obtain positioning difference information, and optimizing the positioning of the target AGV fork based on the difference information, thereby achieving the technical effects of improving the positioning efficiency of the fork and the safety of the operation.
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