Mining: Potential of Autonomous Operations
Mining companies can encourage their employees to become more secure with new ways by talking clearly, building confidence, and training them to succeed in the new climate.
FREMONT, CA: As self-driving vehicles grow and evolve and the Internet of Things (IoT) and wireless connectivity become more prevalent, the mining industry has shown rising interest in automated haul trucks and other mobile devices. Today, a range of businesses have or are piloting the use of autonomous vehicles, trains, and loaders at mine sites. These efforts are a significant leap away from conventional methods, but they are merely scratching the surface on how autonomous vehicles can be used in mining. Many of the industry's autonomous projects concentrate on individual equipment and, like many, are only in the early stages, with just 3 percent of mobile equipment in the industry being self-sufficient.
Increased use of intelligence in applications, in the form of Artificial Intelligence (AI), machine learning, robotic process automation, analytical, diagnostic, predictive and prescriptive analysis, and scenario simulation would be crucial to bringing autonomy to the next level. These technologies help systems to understand data flowing through operations, enable situational awareness, gain near-real-time organizational insights, and define options to consider.
As businesses seek greater control, there are many considerations to bear in mind that will be instrumental to success. Companies must:
Focus on Value:
The autonomous path to value will be as distinct as each business. Clear visibility of core value factors is crucial to preventing false start-ups and matching stakeholder expectations.
Address the Foundation
Ensure IT architectures can facilitate communications between different networks and types of equipment. Assess the interoperability of applications that are essential to the convergence of mining operations and supply chain operations. Companies will determine cybersecurity standards since a violation of autonomous systems may result in a lack of control over systems and processes.
Ensure Data Readiness
The willingness to use data from diverse fields is crucial to AI and strategic perspectives and decision-making. Companies should consider their data-handling skills to collect and handle ever-increasing data volumes while ensuring that the data used to support decision-making is precise and secure. Overall, maintaining data preparation is a crucial prerequisite—without it, at best, autonomous capabilities would be restricted.
Manage the Change
Mining companies can encourage their employees to become more secure with new ways by talking clearly, building confidence, and training them to succeed in the new climate. Companies may also extend these principles to local authorities to manage questions regarding the possible effect of automated activities on jobs and safety and help retain a license to operate given by the community.