AI in Action - Detecting Transients from Day 1
In this month’s ‘AI in Action’ themed edition:?
Calming the Water Network. AI in action with SE Water transient detection trials.
It’s easy to procrastinate and hypothesise about the potential of AI across every industry sector, talk is cheaper than action after all!?
Seeking concrete evidence of the difference AI is making right now? Look no further.?
After Day 1 of trials, transient events were successfully identified by Spiral Data’s machine learning algorithms in a pioneering data-decisioning pilot with South East Water in Victoria.
Achieving positive outcomes within the first day is due to the systemisation of transient detection through the use of Big Data and AI, which Spiral Data has successfully implemented in South Australia with SA Water .?
Water utilities share commonalities such as production of massive amounts of data, complex infrastructure, and pipe network issues that are difficult to predict. Correction, that’s ‘were’. Pressure transients of differing characteristics are now readily identified, labelled and presented to water network teams through Spiral Data’s Transient Detect platform.?
Ram Balachandran Ph.D , Chief Data Scientist at Spiral Data remarks,
“High frequency, fast events may be hidden or overlooked while legacy equipment detects slower, large magnitude events are now detectable. This new series of detected events identified through machine learning algorithms point to an exciting paradigm shift, moving from break/fix to predictive, strategic maintenance of a network.”
This trial has been funded by VicWater , following a Intelligent Water Networks (IWN) partnership invitation to South East Water , Amazon Web Services (AWS) and SpiralData .?
With further results and trial outcomes still to come, the positive identification with SE Water’s network indicates the relative ease with which integrating AI into existing utility systems can take place. In previous desk-based transient detection investigations we uncovered probable root-causes, including but not limited to:
Through a combination of IoT devices and the AIML Transient Detect platform, the trial demonstrates that identification and evidence of transient events may not require excavation and network interruption, instead it enables smarter decision-making and prioritisation of maintenance resources.?
If you’re a water utility with pressure transients causing leaks, cracks and breaks, let’s run a trial. Contact Kale Needham to discuss your requirements.
ConOps introduced at AWA Conference
Concept of Operations (ConOps) for Spiral Data’s AI Briefcase standardises implementation
The Australian Water Association State Conference in Adelaide provided the setting for introducing the next iteration of our AI Briefcase’s deployment methodology.
With the conference focused on water as the foundation for sustainable development, it was a timely opportunity to use standardisation of implementation as a means to create efficiency, repeatability and lower operating costs for organisations in the water industry and beyond. ConOps provides customers with a high-level view of the entire roadmap of an engagement, aiding planning and delivery during projects.
Speaking during a conference stream that explored using data, AI, IOT and machine learning to unlock the value of water for society and industry, Chris Jansz discussed how ConOps creates a circular preparation, use and decommissioning of devices within an encrypted and disconnected operating environment:?
“Our ConOps lifecycle means that organisations using AI Briefcase to solve real-world problems can do so securely, while minimising their hardware footprint.”
Read the full story to learn more about AI Briefcase in Edge environments.
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“From a risk perspective, it was imperative that we started to go down this journey.”
Alexandrina Council’s customers and business benefit from a digitalised wastewater system
Ever wondered what it's like to partner with an AI/Big Data team? This is the video for you!?
Gary Lyons, Manager, Sustainable Resources at Alexandrina Council steps through the journey of embedding digital solutions into their wastewater department. The shift from data-rich to insight and action-rich is profound, as the team share their findings from identifying sources of major leaks to valve integrity testing without the need for excavation work.
Lyons has the final word on the transformation:
“We have established a working relationship that any problem can be addressed, packaged up and potentially solved.”
Securing AI/ML Solutions: The Importance of Container Scanning
Learning the ‘hard way’ to minimise cybersecurity risks
A simple ethos of ‘security is never done’ means that at SpiralData, although we provide our clients with custom AI/ML solutions, we are still fundamentally a software development company and so we need to take cybersecurity seriously on an ongoing, ever-evolving basis.?
We extensively use containerisation tools, such as Docker, as we develop and deploy our solutions. As part of our continuous improvement strategy, we identified that implementing container scanning will provide additional security for us and the organisations we partner with.
In doing so, our technical team realised that there’s a quick, easy way to scan, and a rigorous, hard way to do so.?
Snippets & Shortcuts
Our team’s pick of the talking points from the Industry 4.0 headlines.
Like what you’ve read or keen to see something else??
PS. We generate our images using Adobe Firefly AI
SpiralData: Create your decision advantage.
1 年Thanks to our #water industry partners in getting closer to a calm network using #bigdata and #ai to identify pressure transients Australian Water Association Intelligent Water Networks (IWN) VicWater SA Water South East Water Amazon Web Services (AWS)
One to keep a close eye on - transient detection results with AIML from day 1! Unitywater Sydney Water Hunter Water Melbourne Water Yarra Valley Water TasWater Seqwater Water Corporation Barwon Water Goulburn Valley Water Goulburn-Murray Water Power and Water Corporation