IN CONVERSATION WITH
Tigernix’s financial modelling system is able to predict failures and replacement costs, by using AI-powered budget scenario comparisons — a simulative feature that prolongs the lifespan of assets such as pipes. “The budget scenarios we simulate provide actionable insights into asset renewal and replacement needs, as well as detailed prescriptive maintenance cost analysis, all integrated into a single system,” he said. Its water and wastewater management strategies also leverage digital twin, Blue-Green Algae (BGA) predictors, CCTV and satellite technologies for non-invasive ways to detect potential risks, like pipe cracks caused by tree roots, algal blooms, natural causes that affect infrastructure and more. “One way to look at is to manually see if there any cracks formed by a tree’s intrusion. But what if the network of the pipe is hundreds of kilometres long? With a single satellite image, it can cover a huge area and identify a potential crack at a particular location to look at,” the CEO said. In 2020, Tigernix reportedly lowered the annual pipe replacement expenses of Townsville, Queensland, Australia substantially, while enhancing the town’s performance and asset lifespan. Tigernix employed connected application programming interfaces (APIs) of smart sensor vendors to give a quantitative analysis of water loss levels. Not only did it indicate where the leak is, but it also presented the criticality level of the leak and how much NRW is discharged from the water leak. This overcomes the limitation of traditional pipe analytics systems as it cannot discern information about the amount of water loss. Manual teams have to be dispatched to the pipe leak location to analyse the situation and calculate the NRW water loss percentages. Tigernix’s trained AI models also used sensor- based sonar technology to detect the noise emitting from pipelines. It used this data stream to grasp the acoustic means of the pipe to analyse based on the noise. Therefore, if the pipe degrades due to tree root intrusion, foundation shifts, age, rust, water pressure, or environmental changes, the smart waves
The budget scenarios we simulate provide actionable insights into asset renewal and replacement needs, as well as detailed prescriptive maintenance cost analysis, all integrated into a single system.
Gowrishankar CEO, Tigernix
generate profiles of the pipe’s water league events based on advanced AI analytics. These changes can later be transmitted to an interactive asset timeline where the asset managers can interact with the model to get time-centric information about the asset lifecycle from deployment to replacement/ renewal. Townsville City Council (TCC) supplied 150 million litres per day (MLD) of water through a reticulation network, based on a statistical analysis of nearly 10-30% water loss happening. Tigernix prediction model managed to identify potential water network areas correctly based on condition-based model prediction, and initial deployment of sensors helped to identify potential leaks, which was around nearly 2%. Tigernix had worked with industry domain experts to derive the noise-based AI model from predicting the amount of leak based on acoustics spreads from sensors. “Balancing cost, risk and performance of water and wastewater assets is the signature expertise of Tigernix’s system,” Gowrishankar said. “Tigernix maintains that equilibrium, and nothing is compromised.”
Exhibition and Conference (BIWWEC) in October, and Vietnam Water Week in November; Tigernix plans to foster new business opportunities in this region. “We are keen on the Philippines market as well,” he said, adding that Tigernix’s partnership with the Singapore Water Association (SWA) has opened doors for such opportunities. The CEO also set his sights on Europe and America. “We want the transformation Tigernix has made in Australia to reach other parts of the globe. This will ensure effective water and wastewater asset management, maintain high-standard water quality, and enable demand-based water supply globally.” Reference 1 Tigernix. An efficient predictive analytics framework for asset management. <www.tigernix.com.au>
GLOBAL EXPANSION PLANS AND FUTURE PARTNERSHIPS
Headquartered in Singapore since 2006, Tigernix has established its presence in Indonesia, Malaysia, Australia and Sri Lanka Gowrishankar said that with its participation in water shows across Asia such as the upcoming IndoWater in September, Borneo International Water and Wastewater
Gowrishankar CEO, Tigernix
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