Contemporary Amperex Technology had three patents in metaverse during Q4 2023. The patent filed by Contemporary Amperex Technology Ltd in Q4 2023 is for an AGV scheduling control system and method. This system includes an AGV scheduling controller, an AGV, and a server for message transfer and adaptation to AGVs from different manufacturers. It also involves virtual AGV scheduling controller and virtual AGV as digital twins, with interchangeable control programs for both virtual and real entities. GlobalData’s report on Contemporary Amperex Technology gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Contemporary Amperex Technology grant share with metaverse as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Agv scheduling control system and method (Patent ID: US20230325746A1)
The patent application by Contemporary Amperex Technology Ltd. describes an AGV scheduling control system that includes a real AGV scheduling controller, a real AGV, and a server that facilitates communication between them. The system also incorporates virtual AGV and virtual AGV scheduling controller as digital twins of the real entities, allowing for equivalent exchange of control programs. The system aims to optimize AGV scheduling processes by simulating them using the virtual entities and then applying the optimized programs to the real AGV and scheduling controller.
The claims associated with the patent detail the components and functionalities of the AGV scheduling control system, including the adaptation to AGVs from different manufacturers, the use of simulation software to create virtual entities, and the communication protocols involved. The method outlined in the patent involves receiving tasks, determining AGVs for execution, converting scheduling instructions, and monitoring the process through virtual entities. Additionally, the method includes simulating the AGV scheduling process and optimizing algorithms based on the simulation results, ultimately aiming to enhance the efficiency of AGV operations in various industrial settings.
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