The mining industry is increasingly adopting digital technologies to enhance operational efficiency, safety, and decision-making. Web-based engineering platforms have emerged as accessible tools that allow mining professionals and researchers to perform calculations, analyse operational parameters, and manage engineering information through online interfaces. However, most existing web platforms operate primarily as static calculation tools that rely on manually entered data. The integration of Internet of Things technologies offers an opportunity to transform these platforms into dynamic smart mining systems capable of real-time monitoring and automated data analysis. This study presents a case study on the conceptual evolution of a web-based mining engineering toolkit toward an IoT-enabled smart mining platform. The research examines how sensor networks, communication infrastructure, data processing systems, and web interfaces can be integrated to support continuous monitoring of mining operations. Potential applications include environmental monitoring, equipment condition monitoring, production analysis, and geotechnical observation. The proposed framework demonstrates how web-based mining tools can be expanded to support real-time operational awareness and data-driven decision making. The findings highlight the potential of integrating IoT technologies with web platforms to support the development of digital mining ecosystems.
Internet of Things, smart mining, web platforms, digital mining systems, mining engineering tools, remote monitoring.
. Evolution Of a Web-Based Mining Engineering Toolkit Toward an IoT-Enabled Smart Mining Platform. Indian Journal of Modern Research and Reviews. 2026; 4(3):154-161
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