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ATMOS Global launches DustAlert+


ATMOS Global, the atmospheric air quality modelling & forecasting and climate change research consultants, has launched DustAlert+, which it called ‘the world’s first artificial intelligence multi-factor multi-criteria dust impact early warning system’. DustAlert+ is an artificially intelligent (AI) system that helps mining operations, located anywhere in the world, reduce the environmental impacts of their dust emissions.

Drier climatic conditions, water shortages, higher environmental standards and the increase in the public concern about the environment in the last years have inspired the mining industry to explore new methods of dust control.

DustAlert+ is the new AI enhanced version of ATMOS Global’s innovative multichannel early warning system DustAlert that was developed over five years. DustAlert+ works with the ATMOS-5DTM risk-based dust management system to issue customised and detailed early warnings (a few days in advance) for dust emissions that have the potential to affect sensitive receptors.

DustAlert+ is a new generation self-aware, self-learning and self-adapting system that serves customers’ dust control needs as an ever present sentinel that offers continuous dust protection for the full spectrum of mineral exploration, extraction and processing operations. DustAlert+ uses a series of novel, unique and proprietary algorithms that facilitate the decision optimisation process for dust management.

Dr Orestis Valianatos, global president and CEO of ATMOS Global, said: “Our new artificial intelligence dust control system, DustAlert+, is an advanced dust mitigation strategy that allows mine site operators to automatically anticipate potential dust impacts well before they happen and intervene to control these dust impacts in a convenient and timely manner.”

He added: “DustAlert+, a new mark of environmental excellence for the mining industry, is available 24/7 for mining companies world-wide through our Centre for Global and Site Specific Dust Impact Forecasting, Management and Control, uses the power of our breakthrough artificial intelligence enabled technology to ensure that an optimal dust control approach is used in order to minimise or avoid the risk of dust impacts at sensitive receptors, lower the cost of production through advanced planning and scheduling, and reduce the usage of resource-intensive conventional dust control methods.”

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