Building Smart Mining Infrastructure with Technological Evolution

The mining industry is revolutionizing rapidly and shifting toward smart mining based on advanced data processing and AI. This evolution showcases a transition in mining operations and a leap toward sustainability and efficiency. A combination of precise data interpretation and advanced computer vision is reshaping the landscape.   

 

The shift from monitoring systems to controlling autonomous vehicles in tough terrains depends on accurate and advanced data analytics. The rise in demand for automation in mining equipment, the surge in penetration of advanced technologies, and enhanced efforts toward the health and safety of mineworkers contribute to the growth of the smart mining market.  

 

How does smart mining differ from conventional mining?  

 

Smart mining utilizes personal cellular connectivity, IoT sensors, and edge computing to modify site data into intelligence. For instance, advanced sensors assembled across underground mine shafts alert miners regarding low-oxygen areas and the presence of harmful gas. In contrast, conventional mining operations depend on on-site data collection. The data is then sent to the upper office for analysis. The process slows down significantly when the work site is located in a rural area.   

 

This manual process is time consuming, specifically while dealing with large projects involving 3D renderings and geographical surveys. Smart mining utilizes private cellular connectivity with high speed to transfer data automatically via safe connections and support large data sets.   

 

A blend of RTLS and IIoT for smart mining operations  

 

The Industrial Internet of Things is influencing the mining sector by offering advanced resource usage and efficiency. In the past years, smart devices and digital sensors have collected operational data on working sites. Many mining sites in remote locations struggle to access this essential data. This has resulted in delayed submissions and hindered the timely sharing of essential insights with stakeholders.   

 

This issue can be resolved by integrating RTLS (Real Time Location Systems) into IIoT systems. RTLS provides a detailed perspective on the state of mining operations among spatial dimensions and diverse materials. This combination delivers real-time insights into operational performance and trends to mining companies. The amalgamation of RTLS and IIoT led to innovations that optimize mining operations. Real-time equipment monitoring lowers potential breakdowns, guarantees proactive maintenance, and extends the life of vital assets. With IIoT data analytics, mining companies can forecast equipment failures, optimize maintenance, and lower downtime by using predictive maintenance.  

 

ABB launched a new service to boost the mining industry's productivity  

 

In August 2024, ABB introduced a new range of products to enhance the operational health of mining assets and simplify maintenance. This launch has unified ABB’s expertise in technology and mining to assist customers develop their maintenance approach. The new services offer preventive and proactive services that perform operations efficiently and smoothly. It is a standardized framework designed with the company’s digital technologies and services. This framework is expected to benefit users with savings on maintenance costs, enhanced safety, lowered unplanned downtime and maintenance, and maximized availability.  

 

SANY’s Smart Mining Solution 3.0  

 

SANY, a leading industrial and construction equipment manufacturer, introduced its advanced mining solution 3.0 in China in July 2024. The product is equipped with smarter construction planning that reduces idle time and optimizes productivity. It also offers better resource allocation as smart vehicle assignment. Each step is safeguarded with hazardous area alerts, safety warnings, and real-time monitoring.  

 

Final words  

 

The mining sector is witnessing transformation due to a rising integration of technologies like RTLS, AI, IIoT, and others. These technologies have streamlined equipment monitoring, predictive maintenance, and other operations with precision and speed. Moreover, advanced computer vision and data interpretation are predicted to build a smart mining ecosystem in the future.  

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