A business information management method and system for digitized office
By constructing a dynamic evolutionary spatiotemporal knowledge graph and a temporal graph convolutional network, the real-time adaptation problem of resource conflict identification in existing technologies is solved, enabling real-time prediction and dynamic optimization of office resources, improving cross-departmental collaboration efficiency and reducing resource idle rate.
Patent Information
- Application Number
- CN202511099298.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-07
- Publication Date
- 2026-03-03
- Estimated Expiration
- 2045-08-07
AI Technical Summary
When dealing with resource conflicts in dynamic collaborative scenarios, existing technologies cannot adapt preset rules in real time, resulting in resource conflict identification remaining only at the post-event response level. This lacks command-level integration with digital workflows and makes it difficult to build a closed-loop control loop.
By collecting multi-source office data, a dynamic evolutionary spatiotemporal knowledge graph is constructed. A time-series graph convolutional network is used to predict resource conflicts and label conflict risk levels, generating a resource conflict heatmap. An alternative adjustment is made through a process refactoring engine, and executable path suggestions are output. Finally, a multi-dimensional performance analysis is conducted.
It enables real-time prediction and dynamic optimization of office resources, improves cross-departmental collaboration efficiency, reduces resource idleness and manpower coordination costs, and forms a closed loop of digital office management with self-optimization capabilities.
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Abstract
Citation Information
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