Construction progress dynamic prediction and optimization method and device, electronic equipment and storage medium
By collecting and integrating multi-source heterogeneous data from construction sites, a construction progress feature set is constructed and a deep learning model is used for prediction to generate dynamic adjustment plans. This solves the problem of relying on experience in construction progress management and realizes intelligent optimization of construction plans and efficient allocation of resources.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing construction progress management methods rely heavily on personal experience, leading to unreasonable resource allocation, project delays, and cost overruns. They also have limited intelligence levels and cannot adapt to complex construction scenarios.
By collecting multi-source heterogeneous data, performing data fusion and feature extraction, a construction progress feature set is constructed. A pre-trained deep learning model is used to predict the progress and generate a dynamic adjustment plan. Combined with a visual interactive interface, decision support is provided.
It enables dynamic and automated adjustment of construction progress, improves decision-making efficiency and accuracy, provides intuitive and reliable intelligent support for project management, and reduces forecasting bias and resource waste.
Smart Images
Figure CN122414641A_ABST