Increased governmental and societal focus on emissions mean that industry is under ever greater pressure to increase the agility and reliability of emissions monitoring in real-time. ABB’s Datalyzer is designed to help customers respond to this challenge. The comprehensive, cloud-based modular application provides real-time status across a fleet of analyzers and plants. In doing so, it lowers ownership cost and reduces capital expenditure.
Datalyzer collects data from emissions monitoring analyzers, which is then routed to an on-site Edge device (Micro PC). The Edge device sends the relevant information up to Datalyzer that sits in the Microsoft Azure cloud. The application analyzes the data received transforming it into a concrete information for decision-making.
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 analyzer view. This combination provides both an ‘at a glance’ vision of the overall emission monitoring equipment status alongside valuable detailed asset parameters. Heatmaps of the installed base, historical trends and systems diagnostics are amongst the key parameters provided.
Datalyzer also offers QAL-3 assessment and reporting, as well as event-based notifications by e-mail. Live analyzer process data together with value added insights and reports are amongst the application’s key features. Historical trends are tracked for up to five years, uncovering recurring patterns in the equipment performance and providing the platform for predictive maintenance. Adherence to cyber security standards prevent unauthorized access while ensuring data integrity.
Continuous gas analyzers, such as ABB’s ACF5000 and ACF-NT analyzers, are compatible with Datalyzer with extensions planned to include Advanced Optima and Easy Line in the first quarter of 2022.
Datalyzer forms a part of the ABB Ability Genix Industrial Analytics and AI suite. The platform provides data analytics and industrial AI applications as the next generation operational intelligence and insight.