Artificial Intelligence, Machine Learning, Big Data, Cloud Computing, IoT, 4th Industrial Revolution. These terms are what is defining the way most industries are progressing, let I say the world. The mining industry has been using AI and machine learning for some time already. Their focus has been more in the area’s that aren’t directly invested in production, which is where AI and machine learning are going to impact the future of the mining industry the most.
With the huge volumes of data generated by any single mine site, machine learning can now be generated to optimize production workflows, operation efficiency and not to mention mine safety. Case studies are only the start of our understanding of the value to be derived from machine learning prediction and artificial intelligence. Machine learning through CNN (Convolutional Neural Network) can be utilized to increase the validity of data being captured underground. This is just one-way mining companies will be able to run a smarter mine. Every mine is talking about AI and automation, where a decade ago, this was nothing but small talk amongst some forward-thinking executives. Now AI is a topic that is spoken with serious intention.
Source: https://www.micromine.com/machine-learning-and-ai-in-mining/
AI is nothing new, but its successful integration in the mining sector can have a dramatic impact on production costs.
Rio Tinto has already been putting it to the test by installing AI technology on their haul trucks at Pilbara iron ore mines.
In an attempt to drive productivity, the transition to an automated haulage system has proven beneficial: The company reports that each of its autonomous trucks on average operated for an additional 1,000 hours last year and had a 15% lower load and haul cost per unit than their previous standard trucks.
Source: https://www.dare-energy.com/news/how-ai-is-used-in-the-mining-industry/43007/
AI in mining is enabling companies to improve their efficiency and productivity, which is crucial to their profitability.
The mining industry is pivotal to the world’s economy. The mining industry's top companies had a total revenue of approximately 683 billion U.S. dollars in 2018. Implementation of AI in mining activities can help push the industry even further forward by reducing the operating costs and simplifying the mining processes.
A majority of mining companies still depend on traditional mining practices. These methods come with their own set of challenges and limitations. The adoption of technologies to simplify the mining process has become the need of the hour. AI brings a wide array of benefits for mining companies helping overcome the challenges faced by the industry. The following are four major ways in which AI is helping in mining.
Source: https://www.allerin.com/blog/digging-deep-how-ai-can-revolutionize-mining
Mining managers routinely must make critical operations decisions—while meeting day-to-day obligations such as safety and production targets. Such decisions typically involve complex trade-offs (such as between operating cost versus yield in processing plants). Yet many managers make sub-optimal decisions, relying on simple spreadsheets or rules of thumb. Taking advantage of machine learning can help them avoid this pitfall. But first, they must familiarise themselves with the technology.
Source: https://www.mining-journal.com/investment/news/1177702/mining-value-ai
Artificial intelligence, machine learning, and deep learning are now being used in the mining industry.
Machine Learning and Deep Learning are a growing and diverse fields of Artificial Intelligence (AI) which studies algorithms that are capable of automatically learning from data and making predictions based on data. Machine Learning and Deep Learning are two of the most exciting technological areas of AI today.
Source: https://blog.produvia.com/eight-ai-ideas-for-the-mining-industry-a3e28cb53d50
Some might have misgivings regarding the implementation of artificial intelligence (AI) and how its analytical power will replace traditional methods across the mining sector. However, its purpose is not to replace human beings. Rather, AI’s role is to supplement and support the human factor.
By delivering—for the first time—a truly complete overview of every aspect affecting a mine’s performance, we can achieve greater safety, accuracy and productivity. Since the theory around AI is surrounded by a morass of disjointed terms and conflicting opinions, we must first define a few factors before unpacking the impact it will have on the mining sector.
Source: https://africanminingbrief.com/ai-and-minings-brave-new-frontier/
The mining industry has used technologies such as advanced machinery, satellite imagery and hypersensitive measurement tools. However, the industry is just beginning to use AI in mining, which has the potential to save workers time and companies money.
Source: https://searchenterpriseai.techtarget.com/feature/AI-in-mining-takes-root-in-the-industry
We are finally beginning to see big changes permeating the age-old industry of mining. Shaking the image of the dirt covered miner in the dark, to new-age digital feats of technology.
Digital technologies such as artificial intelligence, automation, VR and AR are transforming the mining industry at an accelerating pace achieving major improvements in performance, safety, costs, and sustainability.
Source: https://www.howden.com/en-gb/articles/mining/the-digital-breakthrough-in-mining
Artificial intelligence (AI) offers prospecting and mining operations a range of new possibilities to enhance efficiencies.
These include a greater ability to target likely mineral deposits, plan new mine developments in difficult terrain, control autonomous vehicles and improve recovery rates from diamond sorting or other minerals processing.
As AI applications are developed, there are at least six important legal aspects mining companies should consider in order to avoid future embarrassing and costly disputes.
Source: http://chegepublishing.net/ai-in-mining-6-things-you-ought-to-know/
AI, which, simply put, is the ability of a computer program or machine to think and learn from observing large quantities of data, to identify trends and make recommendations to improve decision making, all in a matter of milliseconds.
The impending tsunami of data that will be collected from sensors and internet of things (IoT) devices will be too overwhelming for humans to compute.
Businesses that are able to compute and extract value from huge volumes of data are expected to have a key advantage over their competitors by being able to improve efficiency, productivity and lower costs as well as identify new business opportunities.
Source: https://www.bnamericas.com/en/features/how-ai-is-impacting-the-mining-world
Mining companies from around the world have begun using artificial intelligence in their operations. From safety and maintenance, to exploration and autonomous vehicles, and drills, AI is being used to navigate efficiencies and speed. With this new technology, however, comes an ever-growing need for a workforce who can navigate these new systems.
Source: https://www.unr.edu/nevada-today/news/2019/ai-in-mining
Source: https://www.axora.com/insights/How-AI-is-being-used-to-Improve-Health-and-Safety-in-Mining/
Artificial Intelligence (AI) is transforming business operations across the globe. Ten – or even five – years ago, the prospect of business applicable AI was a pipe dream! Now, however, AI is used across a number of industries, including: healthcare, science, manufacturing, retail, finance, customer service and – most recently – mining.
Despite being somewhat late to the AI party, Artificial Intelligence in the mining industry holds tremendous possibilities. With AI at the helm, operations can be automated, environments can be monitored in real time, machine degradation and failure can be predicted before it occurs, and operations can be streamlined – and these are just a few possibilities.
Source: https://www.trolex.com/blog/artificial-intelligence-in-mining