Key components to better management of water in mining

Mining water treatment is very crucial on any mining site. Nowadays, artificial intelligence enables better management of homeowners to turn on the air conditioner remotely to create an optimal environment while allowing organizations to adapt the climate control. However, the capabilities of artificial intelligence go beyond this as it enables users to achieve milestones previously considered unreachable while minimizing the costs where it was not possible before, like wastewater and water treatment. Mining is one industry where this is evident.

Several benefits can also be attained from the use of artificial intelligence for the management of water in mining. Here are some important components of the efficient and intelligent usage of water in mining.

Optimize membrane downtime to increase water reuse

Reusing wastewater in mining has become very common in the past years as a result of increased restrictions and waste disposal costs. This has led to new strategies for the reuse of water. One of them is the use of artificial intelligence to optimize recovery and membrane downtime. Artificial intelligence does this by enabling membrane cleaning scheduling, membrane recovery optimization, and filtration optimization.

Membrane recovery is optimized using water quality predictions; chemical usage and membrane downtime are minimized whilst service life is maximized through optimization of the CIP setpoints of the membrane. Artificial intelligence reduces filter particle breakthrough while increasing backwash cycles.

Optimize chemical dosage in the wastewater/water to ensure compliance

Another component of the management of water in mining through artificial intelligence is the optimized chemical dosage in the wastewater/water treatment process. For enhanced flocculation/coagulation, artificial intelligence utilized multi-layer predictive chemical dosing control to optimize chemical dosage setpoints to reduce the expenditure in operation while ensuring compliance in the mining water treatment process

Leveraging AI better management to reduce energy in wastewater treatment processes

Artificial intelligence can help lower water-related costs by reducing the use of energy in wastewater/water treatment processes. Artificial intelligence does this by optimizing the use of energy in wastewater/water treatment processes using demand-driven pump station control and water production scheduling set points to reduce system-wide energy consumption.

Ensure your treatment processes are reusing as much water as possible

The final component of better management of water in the mining industry through artificial intelligence is the increased reuse of water in the treatment of wastewater processes. Artificial intelligence allows operators to recirculate process water to reduce tailing storage, water intake, and effluent discharge volumes.

Xylem has made water management in the mining industry a breeze through the use of artificial intelligence-enabled technologies that facilitate water conservation in mining and also enhance the performance of mining water management to ensure sustainable mining operations.

When looking for the right mining water treatment solution, it is important to consider working with a tech-savvy company like xylem. You need to work with a team of professionals who are dedicated to offering you high-quality services that are both affordable and effective. The treatment of mining water can be very expensive and without the right technology and manpower, you can end up spending a lot of money and getting poor results.

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