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Advanced Process Modules
Lutra ID is known for it's data collection and compliance reporting capabilities, but when combined with our process engineering knowledge it can be used for much more such as with our Advanced Process Modules, which can help with Chemical Costs, Activated Sludge and more.
Lutra Infrastructure Data virtual sessions
Lutra are offering free drop-in training sessions to learn how Infrastructure Data (ID) can support you as your teams move to remote working.
Lutra Engineering Support sessions
Lutra are offering free drop-in consulting sessions to support your teams as they are working on site. There will be two sessions, each with our seasoned Principal Process Engineers and Process Scientist, on hand to answer your Water & Wastewater questions.
Lutra Infrastructure Data drop-in sessions
Lutra are offering free drop-in training sessions to learn how Infrastructure Data (ID) can support you as your teams move to remote working.
10 real-time water treatment analytics
Most treatment plants have the instrumentation necessary to be able to create great analytics in real-time, turning data into actionable process insights. Yet despite all the talk of digital transformation in our industry there are precious few plants where this actually happens. So here are 10 analytics that you could implement at your plants to kick start your own digital transformation.
How to predict peak summer demand using an artificial neural net (ANN).
The recent hot spell in New Zealand and Australia put a lot of water supply systems under pressure. Knowing what the demand will be for the current day and for the next 7 days allows for proactive management of supplies, water restrictions and consents. Learn how to predict summer demand.
7 Tips to Avoid Failure in Water Data Visualisation
A lot of water industry technical reports, papers and presentations feature great data presented poorly. This can confuse rather than inform, creating a negative perception in the audience. So, take a look at our tips on how to avoid common mistakes when presenting water data.