Moving from preventative to predictive maintenance in emissions monitoring

09 November 2021

Increased focus on emissions mean that industry is under greater pressure to increase the agility and reliability of emissions monitoring in real-time. ABB’s Datalyzer is designed to help industry respond to this challenge.



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The cloud-based modular application provides real-time analyser status right across a fleet of analysers and plants. In doing so, it lowers ownership cost and reduces capital expenditure.  

Real-time fleet status is realised by Datalyzer through the collection of data from emissions monitoring analysers which is then routed to an on-site Edge device (Micro PC). The Edge device sends the relevant information up to Datalyzer which sits in the Microsoft Azure cloud. The application analyses the data received transforming it into actionable insights.    

The end user receives the information from Datalyzer across three different dashboard views. The first shows the Fleet view, the second the plant view and the third a more detailed analyser view. This combination provides both an ‘at a glance’ vision of the overall analyser status alongside valuable detailed asset parameters. Heatmaps of the installed base, historical trends and systems diagnostics are among the key parameters provided.

Datalyzer also offers QAL-3 assessment and reporting and event-based notifications by e-mail. Historical trends are tracked for up to five years, providing the platform for predictive maintenance. Adherence to cyber security standards prevent unauthorised access while ensuring data integrity.

The solution has been developed for industries that carry out continuous emissions monitoring such as power plants, the cement and metals industry and waste-to-energy plants. 


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