Rinnovabili • emission monitoring Rinnovabili • emission monitoring

Artificial intelligence, IoT and ESG data to improve emission monitoring

An integrated solution that tracks process and fugitive emissions almost in real-time, evaluates their compliance, supports the identification of the underlying causes behind possible accidents and suggests effective remedies. Preparing data for ESG reporting. It is the upgrade 9.0 of the IBM Maximo suite

emission monitoring
via depositphotos.com

Emission monitoring integrated with ESG data platform

Generative artificial intelligence, the Internet of Things and an extensive ESG database to improve resource management, life cycle assessment and emission monitoring. And thus enhance the efficiency and reliability of industrial operations management systems, and their sustainability. It is the novelty introduced by IBM with the latest upgrade of the Maximo suite, Maximo Emissions Management. “Generative artificial intelligence can advance resource lifecycle management and provide organizations with further operational efficiency, reliability and resource success,” IBM emphasizes by introducing the new product in version 9.0.

The suite is now able to harness the potential of artificial intelligence to accelerate work order approval, improve data quality, and provide reliable recommendations on error codes. Their attribution, so far, is one of the bottlenecks that can cause delays in interventions. In addition, always thanks to AI, the system can give more accurate suggestions on resource management and distribution and on preventive maintenance.

AI to improve monitoring of industrial emissions

Artificial intelligence is then implemented in a specific tool to improve emission monitoring which, according to IBM, helps to “balance operational efficiency with environmental responsibility”. An integrated solution that allows monitoring of continuous and fugitive emissions in almost real time and to manage compliance programs. At the same time, the tool converges this data into the operational emission reporting system. And it helps to consolidate the vision of business sustainability indicators through integration with another IBM tool, the Envizi ESG Suite.

The platform’s investigative capabilities allow us to carry out the analysis of the root causes to identify the causes of the emissions. It is possible to link the identified causes to corrective actions on time, addressing both the immediate and the underlying problems and preventing future accidents from occurring,” IBM emphasizes.

In addition, this data stream interacts with those on IBM’s ESG data platform, Environmental Intelligence. This allows companies to identify new solutions to mitigate the environmental impact of their resources and to develop processes that are highly resilient to the climate crisis.

About Author / Editorial Team