# Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam
## 3 Optimization Method for Thermal Field Reconstruction
### Lightweight Application Procedures  
The proposed optimization method aims to provide timely and accurate thermal field reconstruction results to guide temperature control measures, such as water cooling. Due to the variations in construction conditions, structural characteristics, and external environments across different projects, the applicability of this method to other projects will be challenged. To solve the practical obstacles, the lightweight application procedures are proposed to enhance the method's applicability in large-volume concrete temperature control:  
1. Monitoring system layout and interpolation algorithm selection  
Assess on-site concrete pouring conditions, including dimensions, optical fiber layout, and data acquisition frequency. Taking the representative concrete dam block as an example, the accuracy and suitability of different interpolation algorithms are evaluated by employing the method detailed in Section 3.1. In this study, when the concrete dam block employs the \"Z\" shape optical fiber layout scheme, the Kriging method demonstrates superior accuracy compared to both the Natural Neighbor and Inverse Distance Weighting methods. Additionally, in practical applications, it is feasible to incorporate other interpolation methods, such as spline functions [46], linear interpolation [47], and nearest neighbor interpolation [48], based on specific conditions.  
2. Optimization of thermal field reconstruction Efficiency  
This step aims to minimize the volume of monitoring data required, thereby reducing computational complexity and ensuring the real-time acquisition of thermal field distributions within the shortest time frame. However, this must be accomplished while meeting the temperature control requirements specific to different projects, structures, and locations. For instance, in dam temperature control, an interpolation accuracy of no less than 1 \({}^{\circ}\)C is essential. Therefore, this step can be executed using the iterative computation methods described in Sections 3.2 and 3.3 to determine the optimal number and positions of monitoring points. Before large-scale concrete pouring for the dam, calculations can be conducted on a typical dam segment to alleviate the computational load of reconstructing the concrete temperature field, ensuring precise temperature regulation during peak construction periods.  
3. Development and implementation of temperature control measures  
Utilize the reconstructed concrete thermal field results to guide the formulation of water-cooling measures and precise parameter control, thereby achieving intelligent temperature control for large-volume concrete. During practical applications, based on construction conditions, concrete dam blocks and their corresponding water control equipment are categorized into temperature control units. The optimized thermal field reconstruction method can be applied independently to each control unit, providing precise guidance for regulating temperature control equipment in accordance with the pouring progress of different dam blocks and the evolution patterns of the concrete temperature field.  
4. Evaluation of temperature control effectiveness  
Using the real-time thermal field obtained from the concrete dam blocks, calculate the compliance rate between the actual temperature time curve and temperature control requirements. Throughout the entire concrete pouring process, monitor key indicators such as pouring temperature, maximum temperature, arching temperature, and cooling rate. Guided by the real-time thermal field, achieve precise temperature control for each concrete pouring section. After the pouring is completed, continue with thermal field reconstruction calculations to monitor ongoing changes in the internal temperature of the concrete dam.