The projection indicates that by 2025, more than 41.6 billion IoT devices will be active, generating a staggering 80 zettabytes (ZB) of data collectively. Despite the widespread integration of smart devices across various sectors like smart homes, wearable’s, smart cities, and workplaces, the mining industry has been comparatively slow in adopting innovative technologies. However, it is essential to recognize the vital role played by the mining sector in powering energy systems, manufacturing components for smart devices, and employing over 4.5 million individuals globally, often in demanding and harsh conditions. This paper presents a prototype Industrial IoT and Digital Twin platform to optimize industrial automation in traditional mining operations. Moreover, it proposes a digital twin reference architecture employing Business Process Modeling Notation (BPMN) and simulation techniques to validate the reference architecture within a mining context. The results indicate an impressive 98% accuracy achieved within a time frame of 10.25 s.