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基于人工智能技术的金矿开采方法研究

Gold mining method based on artificial intelligence research
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摘要 黄金是生活常见的贵重金属,也是国家重要战略储备资源,在工业与科学技术领域也有广泛应用。我国黄金的生产量远远落后于消费量,还需要通过大量的进口来填补开采的不足。传统的小规模浅部开采格局和老式开采技术将随着社会需要和科技进步而优化调整。人工智能诞生以来,理论和技术逐渐成熟,为各个生产制造行业带来了发展机遇。本文针对金矿的开采方法采用人工智能领域里重要分支的分布式人工智能法,得出金矿开采顺序达到最大净值,满足开采作业技术和约束条件,为计划工程提供有效工具和技能。 The precious metals of gold is a common life, is also national important strategic reserve resources, have wide application in industry and science and technology. Gold output lags far behind of consumption in our country, also need to through a lot of imports to fill the shortage of the mining. The traditional small-scale shallow mining pattern and old mining technology will along with the social needs and scientific and technological progress and optimized. Since the birth of artificial intelligence, theory and technology mature gradually, brought development opportunities for each manufacturing industry. Gold mining method, this paper USES the artificial intelligence in the important branch of distributed artificial intelligence method, it is concluded that gold mining sequential maximum net value, meet the production technology and the constraint conditions, provide effective tools for project planning and skills.
作者 祝毅鸣
出处 《世界有色金属》 2016年第11S期30-31,共2页 World Nonferrous Metals
关键词 金开采 人工智能 分布式智能体系 开采顺序 gold mining Artificial intelligence Distributed intelligent system Mining sequence
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