Revolutionising Mining: Embracing Automation
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Revolutionising Mining: Embracing Automation

Unlocking Efficiency and Safety: Exploring Automation in the Mining Industry

Automation plays a crucial role in the mining industry, revolutionising daily operations and driving significant transformations. With the help of artificial intelligence (AI), mining companies can leverage intelligent systems to analyze vast amounts of data and provide digital solutions. The importance of automation in mining is underscored by its ability to enhance operational speed and safety.

AI also plays a vital role in reducing environmental impact and risk in mining operations. By swiftly and efficiently analysing data, AI can identify areas where operations can be optimised, taking into account the impact on the surrounding environment. Companies like BHP and 微软 are utilising AI and machine learning to boost copper production by leveraging real-time data and making hourly predictions, which subsequently inform operational recommendations.


Optimising blasting and minimising downtime with Weather AI

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Tomorrow.io 's weather intelligence empowers mining operators for efficient operations and community responsibility. Traditional forecasts fall short in addressing mining-specific challenges, but AI-backed insights offer optimized decision-making, improved safety, and enhanced supply chain efficiency. With hyperlocal monitoring and predictive capabilities, Tomorrow.io enables informed decisions up to 14 days in advance, ensuring resilience in the face of climate crisis and driving sustainability.

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BHP uses Microsoft AI and ML to meet copper demand goals

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BHP and 微软 have partnered to leverage AI and ML solutions at the world's largest copper mine, Escondida in Chile. This collaboration aims to improve copper recovery and generate more value from existing resources. Real-time data and Azure Machine Learning enable BHP to make hourly predictions and provide recommendations to the operations team. Microsoft's commitment to maximising customer investments and driving operational efficiencies is evident in this transformative project. With global demand for copper set to double in the next 30 years, this collaboration demonstrates the industry's recognition of AI's potential in meeting future challenges.

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Tinamu transform mining with automation and drone technology

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TINAMU revolutionizes stockpile monitoring in mining and beyond with AI-powered drones. Their autonomous system captures high-resolution images, analyzes data using AI algorithms, and delivers precise volumetric measurements in hours. This innovation improves inventory management, fraud detection, and logistics planning. Tinamu's platform offers real-time tracking, detailed data, and cost-effective solutions. The partnership with Parrot enhances capabilities and ensures data privacy. Tinamu sets a new standard in stockpile monitoring, transforming the mining supply chain.

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Top 10 uses of artificial intelligence in mining

We consider some of the top use cases for AI in the mining industry and some of the highest profile companies that have adopted these technologies.

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Mining Digital Magazine covers smart mining, digital mines, mine of the future, mining technology, AI & Automation - connecting the world’s largest community of mining executives. Mining Digital Magazine focuses on mining news, key mining interviews, mining videos, the 'Mine of the Future Podcast' series along with an ever-expanding range of focused mining white papers and webinars.

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Bhooshan Kulkarni

Chief Technical Officer (CTO) at MEAI (Mescada Company)

1 年

Agreed I was in QLD, I can say that there is a lots of interest in mining industry replacing AI for process control for advanced process control and these are large installations!

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Kirstin Sym-Smith

Director of Business Development @ Ericsson NA I Driving industry 4.0 for Mining & Industrial enterprises through 5G private networking solutions & digital transformation

1 年

AI is going to have a great impact on prospecting and exploration reducing timeframes and labor

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