煤矿实时禁止入关系统

U. Shrawankar, Rahul Neware, Pranay Mangulkar
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引用次数: 1

摘要

本文主要讨论煤矿井下普遍存在的危险条件以及在条件不利时禁止进入的决定。因此,正在进行的观察框架有助于确定地下煤矿的工作条件和必要的安全和福利措施。无线传感器网络的发展带动了无线通信的发展。各种传感器部署在位置,感知环境并提供地下煤矿的最新活动。传感器将采集到的信息传输到基站,主要是进行模数转换。传感器可以看作是基站的集线器。无线传输用于将数据发送给用户。利用所设计的硬件和软件系统对参数进行识别,并根据阈值进行决策和禁止工人入矿。机器学习系统有助于检查地下矿山的有利条件。在实验过程中,使用实时传感器生成的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real Time Entry Prohibition System for Coalmines
This article focuses on the hazardous conditions prevailing in underground coal mines and the decision to prohibit entry, when conditions are adverse. Thus, the ongoing observation framework is helpful for ascertaining the conditions for working in underground coal mines and for essential safety and well-being measures. The advancements in WSN lead to advancements in wireless communications. The various sensors are deployed at the location and sense the environment and provide recent activities of the underground coal mines. The sensors transmit the procured information to the base station, principally the A-D transformation. The sensors can be considered a hub to the base station. Wireless transmission is used to send the data to the user. The designed hardware and software systems are used for the identification of the parameters and as per the thresholds, the decision and the prohibition of workers before entering into the mine is decided. The ML system helps in checking the favorable conditions for working in underground mines. While experimenting, real-time sensor generated data is used.
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