Digital shared profile automatic storage system and management method thereof
Through multimodal perception technology and blockchain smart contracts, combined with spatiotemporal data analysis and optimization algorithms, dynamically generate storage layout and equipment scheduling strategies, solving problems such as positioning errors and low coordination efficiency in profile storage management systems, and achieving high-precision, real-time profile storage and cross-enterprise collaborative management.
Patent Information
- Application Number
- CN202510599057.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-10
- Publication Date
- 2025-07-04
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing profile storage management system has problems such as large positioning error, abnormal response delay, data islands, low coordination efficiency, poor compatibility of equipment heterogeneous protocols, delay in equipment collaborative operation and high loading and unloading error rates, which are difficult to meet the real-time and economic requirements in industrial scenarios.
Multimodal perception technology is used to realize real-time positioning and environmental status monitoring of the entire life cycle of profiles, combine spatiotemporal data analysis and optimization algorithm to generate storage layout dynamically, achieve fair auctions of multiple users through blockchain smart contracts, build cross-enterprise data isolation channels, and drive truss robots to accurately perform access operations through heterogeneous protocol conversion and closed-loop control algorithms.
Realize real-time positioning and deformation monitoring of profiles at submeter levels, shorten the abnormal response speed to within 5 seconds, the truss robot grasping accuracy reaches ±0.05mm, dynamic adjustment of driving speed, supports 200+ concurrent access per second, ensuring zero data leakage, and improving space utilization and synergistic efficiency.
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Figure CN120246497A_ABST
Abstract
Citation Information
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