3 – Adopting new technologies is a key driver for future performance
Technological advances such as artificial intelligence (AI), the Internet of Things (IoT), digital twins and automated exchange systems offer unprecedented opportunities to improve operational performance.
Technologies attracting growing market interest:
- IoT and AI are among the most promising technologies for the mining and metallurgy industries. IoT enables equipment connectivity and real-time data collection, while AI offers advanced data analysis capabilities to apply complex algorithms that optimize production processes and asset management.
- Digital twins are becoming a key solution, offering advanced tools for optimized operational planning and management without causing disruptions to production systems. A return on investment can be assessed by running simulated scenarios to validate and confirm efficiency gains. Moreover, using augmented reality should not be overlooked. For example, using devices such as “HoloLens” or other 3D headsets can provide operators or remote personnel with real-time information about equipment. You can also display the health status of your equipment as well as upcoming maintenance. Other use cases include providing detailed operating procedures and proactively identifying potential risks related to the operator's work environment.
To leverage these technologies, companies can:
- Identify solutions adapted to their specific challenges, such as improving efficiency with advanced data analytics tools and implementing smart sensors. For instance, installing IoT sensors or smart cameras on crushers, conveyors and chutes can significantly reduce unplanned downtime, leading to better equipment availability and a significant reduction in operational costs. Cloud-based platforms are essential for performing advanced analyses of this kind.
Furthermore, it’s essential to evaluate these platforms and their tools before deploying them in the field. Ultimately, a concrete example of the effectiveness of these technologies is the use of real-time cameras to monitor rock size on conveyors, which directly supports decision-making and improves operational performance.
To learn more about using cameras for decision-making in operations, you can read the following BBA blog article: Operating remotely: using cameras as sensors (CAMAAS).
- Plan to integrate technologies into existing systems by minimizing disruptions and evaluating these technologies on pilot projects. This not only validates their cost and profitability, but also ensures they deliver added value before full-scale deployment.
- Integrating new technologies to optimize operational efficiency requires greater focus on cybersecurity. Solutions that require implementing smart sensors and cloud-based platforms must be deployed in a secure architecture to protect critical data and systems from potential intrusions. Carrying out a thorough cybersecurity assessment, including a detailed evaluation of existing IT infrastructures, helps identify security gaps and establish a remediation plan.
- Prepare teams for change by offering tailored training and clear communication. For example, using digital twins for technical training allows operations teams to simulate realistic scenarios, providing an ideal environment to learn new technologies and optimize their use before they are implemented in the field.