Thermal Performance Evaluation of Trombe Wall Systems Using Multimodal Data Analysis

National economic growth drives rapid infrastructure development, with civil engineering technology shifting from manual to AI and computer-based approaches due to the mature development of the Internet. Against this backdrop, this study applies computer technologies—specifically multimodal data—to enhance project rigor and safety. Taking an intelligent Trombe wall in a specific temperature area as a case study, we use multimodal data analysis and a multi-view algorithm to establish a systematic analysis process. Experimental results show that the four temperature measurement points of the Trombe wall reach maximum temperatures of 25.7°C (point 1), 24.7°C (point 2), and 25.1°C (points 3 and 4). These findings indicate that multimodal data analysis can effectively improve the quality of civil construction.