Mining is taking a new path, where safety and sustainability are dominating the narrative. The industry as a whole is working toward a redefined purpose to steward resources and make the world a better place for all.
As self-driving vehicles continue to mature, and the Internet of Things (IoT) and wireless connectivity become more widespread, the mining industry has shown a growing interest in automating haul trucks and other mobile equipment. Today, a number of companies have fleets of autonomous trucks, trains and loaders at mine sites, or are piloting the use of these vehicles.
These efforts are a great leap forward from traditional practices, but they are just scratching the surface of how autonomous systems can be used in mining. Most of the industry’s autonomous initiatives focus on individual pieces of equipment and are, for many, still in the early stages with just three percent of mobile equipment in the industry being autonomous.
Perhaps the fullest example of autonomy at work is a Resolute Mining operation in Mali. The entire production operation—drilling, charging, blasting, loading and trucking—is carried out via an autonomous system. This has reduced the cost of gold production and cut mining costs by 30 percent. while the example above is relatively isolated, it provides a sense of the potential value that autonomous operations could deliver.
Future mining operations will drive efficiency and safety while attracting the best talent with a focus on creating more responsible, sustainable operations. Productivity improvements between 15 and 30 percent are being reported from autonomous hauling. Autonomous operations also have the potential to reduce fuel consumption, greenhouse gas emissions, water and energy consumption and waste.
The World Economic Forum projects that automation and robotics could prevent 10,000 injuries in the mining and metals industries in the decade to 2025.
The key to taking autonomy to the next level will be the increasing use of intelligence in systems, in the form of artificial intelligence (AI); machine learning; robotic process automation; descriptive, diagnostic, predictive and prescriptive analytics; and scenario modelling. These technologies allow systems to understand the data flowing through operations, enable situational awareness, develop near-real-time insights into operations, and determine what options to consider.
As companies explore increased autonomy, there are several factors to keep in mind that will be instrumental to success. Companies need to:
Focus on value. The autonomous path to value will be as different as each business. Having clear visibility of the key value drivers is critical to avoiding false starts and matching stakeholder expectations.
Address the foundation. Ensure IT architectures are ready to support communications between various systems and types of equipment. Assess the interoperability of systems, which is key to integrating operations across the mine and the value chain. Companies also need to assess cybersecurity requirements, because a breach of autonomous systems could mean losing control of systems and processes.
Ensure data readiness. Being able to use data from various sources is critical to AI and analytics-based insights and decision making. Companies need to consider their data-handling capabilities to capture and manage ever-growing volumes of data while ensuring the data used to drive decision making is accurate and trusted. Overall, ensuring data readiness is a key prerequisite—without it, autonomous capabilities will be limited, at best.
Manage the change. Mining companies can help their people feel more comfortable with new approaches by communicating clearly, building trust and preparing them to succeed in the new environment. Companies can also apply these concepts to local communities to manage fears about the potential impact of autonomous mining operations on employment and safety—and help maintain the license to operate granted by the community.
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