Load test method for plastic mold box cast-in-place concrete hollow floor
By using intelligent sensing networks and digital twin models, combined with adaptive algorithms, the problems of data acquisition lag and coarse loading control in the load test of hollow floor slabs were solved, realizing real-time monitoring and efficient load test process control, and improving experimental safety and data utilization efficiency.
Patent Information
- Application Number
- CN202610434158.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-03
- Publication Date
- 2026-07-17
AI Technical Summary
Existing load testing methods for hollow floor slabs suffer from problems such as data acquisition lag, coarse loading control, lack of early warning mechanisms, and insufficient data utilization depth, making it impossible to achieve real-time monitoring and remote collaboration.
By employing intelligent sensing networks, digital twin models, and adaptive algorithms, high-fidelity digital twins are constructed through real-time data monitoring via sensors. This enables variable-step loading and multi-source data fusion, combined with an early warning mechanism for real-time control and evaluation.
It enables real-time data acquisition and loading control for load experiments, improving experimental safety and data utilization efficiency, and providing intelligent closed-loop monitoring and evaluation throughout the entire process.
Smart Images
Figure CN122409222A_ABST