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摘要
The reliability of mine geological environment quality assessment highly depends on a large amount of survey data, a comprehensive evaluation system and an effective evaluation model. Using computer technology to integrate large amount of data can help to ensure the valid management and the effective assessment. Compared with previous studies, this study has improved and enriched the evaluation system and optimized the traditional evaluation method. Moreover, combining geology with computer science, it has developed the evaluation function of mine geological environment and realized the intersection and innovation of the discipline. The specific research content has the following three parts. First, a new design for an evaluation system which can synthetically describe the mine geological environment is presented. Second, a particle swarm optimization (PSO)-support vector machine (SVM) model is established as an alternative to traditional approaches that avoid interference from artificial factors. Third, a new mine geological environmental information system (MGEIS) is presented to efficiently manage data. Then, PSO-SVM evaluation model is embedded in it, and the mine geological environment in Jilin province is assessed by using MGEIS. Decisions can be presented based on the evaluation results in this study to better support the recovery of the local mine geological environment.
- 出版日期2017-10
- 单位吉林大学; 中国地质大学（北京）; 沈阳地质矿产研究所
