一种项目进度智能跟踪与资源调度方法及系统
By analyzing the directed acyclic topology graph and discrete timestamp sequence, the loss of connection gaps in the task topology is quantified, and resource allocation is adjusted. This solves the problem of resource scheduling timing deviation in the existing system and improves the accuracy of project progress tracking and the predictability of resource scheduling.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FUJIAN XINGBO DIGITAL TECH CO LTD
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing project management systems cannot effectively quantify the gap loss in the task topology during multi-level task transmission, resulting in resource scheduling timing deviations and resource redundancy, and are unable to identify and eliminate hidden losses in the handover process in real time.
By receiving project business data, parsing the directed acyclic topology graph, monitoring the data flow status, obtaining discrete timestamp sequences, calculating handover gap parameters and cascading hysteresis weights, adjusting resource allocation, cutting off the resource lock status of non-critical paths, merging available resource capability vectors, and outputting reset scheduling instructions.
It has improved the timeliness and accuracy of project progress tracking, eliminated the blind spots in the observation of cross-node connection losses, and improved the predictability of resource scheduling and the resource turnover efficiency of equipment.
Smart Images
Figure CN122414752A_ABST