一种机器人多模态数据智能分析存储方法及系统
By carrying a unique identifier in the robot's data transmission and establishing forwarding table entries hop by hop, the uncertainty problem of robot data transmission in any broadcast network environment is solved, achieving accurate matching and continuous transmission of data requests and responses, and improving the reliability and real-time performance of data storage.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG WEINENG TECHNOLOGY CO LTD
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing robot data transmission methods face problems such as connection interruption due to IP address changes, large routing convergence delays, and high session reconstruction overhead in scenarios with frequent movement and dynamic changes in network topology. They are difficult to meet the real-time and continuous requirements of multimodal data. In particular, in anycast network environments, they cannot accurately locate robot connection sessions, resulting in incorrect matching of data requests and responses.
By carrying the robot's unique identifier in data request and response messages, forwarding table entries are established hop by hop, and the mapping relationship between the robot's unique identifier and interface information is recorded in the gateway and routing devices, so as to achieve accurate matching of data requests and continuous transmission of responses, and support dynamic path reconstruction when the robot moves.
It achieves precise matching and continuous transmission of multimodal data requests and responses from robots, improves the reliability and real-time performance of data storage, adapts to robot movement switching in any broadcast network environment, and reduces data transmission interruptions and storage task failures.
Smart Images
Figure CN122420201A_ABST