一种快速预测施工隧道有害气体浓度方法
By combining intrinsic orthogonal decomposition and support vector machine, the concentration of harmful gases in construction tunnels can be predicted quickly and accurately, solving the problem of real-time monitoring of harmful gas concentrations in tunnels. This enables sensorless real-time ventilation control, ensuring the safety of the construction environment and the efficient operation of the ventilation system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN UNIV OF TECH
- Filing Date
- 2024-01-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient for rapid and accurate real-time monitoring and prediction of harmful gas concentrations in construction tunnels, resulting in inadequate control precision of ventilation systems, which makes it difficult to guarantee personnel safety, especially in high-altitude environments.
By combining intrinsic orthogonal decomposition and support vector machine, the airflow and harmful gas diffusion control equations of the ventilation environment in the construction tunnel are solved by dimensionality reduction, and an orthogonal basis coefficient prediction model is established to realize real-time prediction of harmful gas concentration and reduce reliance on sensors.
It significantly improves the speed and accuracy of predicting the concentration of harmful gases in construction tunnels, realizes sensorless real-time ventilation control, and enhances the safety of the construction environment and the operating efficiency of the ventilation system.
Smart Images
Figure CN118152903B_ABST