Application of Evolutionary Algorithm in Intelligent Analysis of Mining Instruments

Kaitai Xiao
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Abstract

Application of modern evolutionary algorithm in the intelligent analysis of mining instruments is studied in this paper. Modern digital technology, the automatic control technology, communication technology, information technology, big data technology and the other advanced technologies are increasingly used in the general construction of intelligent mines to realize the coordination of coal mining, sorting processing, transportation, sales and other links. Hence, 2 novelties are proposed. First, intelligent mine platform mainly relies on the Internet of Things coding principle, which standardizes various basic information coding and recognition systems of the mines, and combines mine automation, the IoT framework is used to construct the system. Second, the automated instruments have been then widely used in many industrial production fields such as electric power, chemical industry and petroleum. The intelligent model is used to achieve an efficient analysis of the mentioned question. The basic performance of the model is evaluated through the experiment.
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进化算法在矿山仪器智能分析中的应用
研究了现代进化算法在矿山仪器智能分析中的应用。现代数字技术、自动控制技术、通信技术、信息技术、大数据技术等先进技术越来越多地应用于智能矿山的总体建设中,实现煤炭开采、分选加工、运输、销售等各个环节的协同工作。因此,提出了两种新颖的方法。首先,智能矿山平台主要依托物联网编码原理,对矿山各种基础信息编码和识别系统进行标准化,结合矿山自动化,采用物联网框架构建系统。其次,自动化仪表已广泛应用于电力、化工、石油等工业生产领域。利用智能模型实现对上述问题的高效分析。通过实验对模型的基本性能进行了评价。
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