Digital transformations in drive control technology for exploration and mining equipment

M. Y. Krylkov, I. N. Olivetskiy
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引用次数: 3

Abstract

Background. Technologies applied in geological exploration and mining are undergoing rapid transformations. The scientific progress in this field, which is shifting towards Asia, is characterized by the integration of network and production technologies. The modern society can be conventionally divided into the creative part, i.e. people designing digital technologies, and those operating these technologies. This has become particularly evident with the advancement of the 4th generation of automatics. The period of massive digital transformation started in 2008–2009 with the appearance of the Internet of Things (IoT). This process acquired the term Industry 4.0 or Industrial Internet of Things (IIoT).Aim. To study current digital transformations in drive control technology applied in exploration and mining equipment.Materials and methods. Methods and examples of controlling exploration and mining equipment are presented.Results. The main trends in the development of drive control technology applied in exploration and mining equipment were examined.Conclusion. Modern digital control systems are capable of re-programming controllers using an active or passive identification of multicomponent multiloop controlled objects in real time. The new Flight Contol Language (FCL) designed for programmable controllers incorporates the methods of fuzzy logic [5,8]. This fuzzy control language uses a new type of data — a linguistic variable, which is a numerical variable with a name, e.g. pressure, rotation speed, temperature, etc., involved in linguistic descriptions.
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勘探和采矿设备驱动控制技术的数字化改造
背景。地质勘探和采矿技术正经历着快速的变革。这一领域的科学进步正在向亚洲转移,其特点是网络技术和生产技术相结合。传统上,现代社会可以分为创造性部分,即设计数字技术的人,以及操作这些技术的人。随着第四代自动化的进步,这一点变得尤为明显。随着物联网(IoT)的出现,大规模数字化转型时期始于2008-2009年。这个过程获得了工业4.0或工业物联网(IIoT)的术语。研究当前勘探采矿设备驱动控制技术的数字化转型。材料和方法。介绍了探矿设备控制的方法和实例。论述了应用于勘探采矿设备的驱动控制技术发展的主要趋势。现代数字控制系统能够重新编程控制器使用主动或被动识别实时多组件多回路控制对象。为可编程控制器设计的新的飞行控制语言(FCL)结合了模糊逻辑的方法[5,8]。这种模糊控制语言使用了一种新的数据类型——语言变量,这是一种带有名称的数值变量,例如压力、转速、温度等,涉及语言描述。
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发文量
30
审稿时长
8 weeks
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