Automation for mining, metals and steel

Valmet DNA DCS Automation for mining metals and steel

To address their challenges, the mining, metals, and steel industry must embrace sustainable practices, invest in research and development, foster innovation, engage with stakeholders, and actively collaborate with governments and communities. A strong focus on safety, environmental stewardship, and responsible mining practices is crucial for long-term success. Automation plays a huge role in these processes to ensure success.

Lifecycle approach



Environmental impact and sustainability

Mining operations can have significant environmental impacts, including land disturbance, water pollution, and emissions of greenhouse gases and other pollutants. The industry faces increasing pressure to adopt sustainable practices, minimize environmental footprints, and mitigate the long-term effects of mining activities.

Automation allows for efficient use of resources and lowering emissions. A good automation system will allow you to stay in control, while optimizing your processes to your needs.

Energy and cost management

The mining, metals, and steel industry is energy-intensive and faces challenges related to energy costs and efficiency. Rising energy prices and the need to reduce carbon emissions require the industry to adopt energy-efficient technologies, explore alternative energy sources, and optimize energy usage throughout the production process.

Automation systems can be designed to register all of this information and relay it back to the plant to give you the most optimal energy and cost savings.

Supply chain complexity

The mining, metals, and steel industry operates within complex global supply chains. Challenges include ensuring reliable access to raw materials, managing transportation logistics, and addressing geopolitical risks that may disrupt the supply chain. Developing resilient supply chain networks and fostering collaboration with suppliers are critical.

An automation system may be able to assess issues in the supply chain and report them before they turn into problems. Automating as many processes as possible, within the same system, allows for a lot of data to be processed at once for the best results. This often leads to a huge increase in efficiency.

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