科研之友
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摘要
With the vigorous development of 3D geological information technology, many 3D comprehensive evaluation studies have been conducted on underground space geological environment quality, but the evaluation results are slightly insufficient for planning and construction suggestions. The main reason is that the evaluation process is subjective, comprehensive evaluation results are difficult to fully express the true category of geological environment, and it is difficult to pay attention to unfavorable geological environment conditions that require more attention. In response to the above issues, the self-organizing map (SOM) and K-means algorithm were used to classify and study 3D evaluation information of underground space geological environment quality. Taking the south bank of Maluan bay new city in Xiamen city, Fujian province as an example, 3D evaluation index factors were extracted based on 3D spatial analysis method, and 3D evaluation of underground space geological environment quality was carried out based on SOM and K-means algorithm. Finally, the geological environment category and dominant factors obtained from the evaluation were used to propose planning and construction suggestions. The results show that the evaluation method based on SOM and K-means algorithm can effectively mine hidden information in multi-dimensional and multi-source geological data, identify key distinguishing factors, and provide new ideas and methods for the evaluation of underground space geological environment quality. ? 2023 Editorial Office - Chinese Journal of Interventional Imaging and Therapy.
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