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WHO ARE WE

Industry experts

Dammika Vitanage (Infrastructure, Water Quality and Treatment)
Heri Bustamante (Scientific expert on sensing, new chemicals for treatment)

Leading University innovators

Ken Grattan UK (Photonics)
Gamini Dissanayake UTS and WSU (Robotics)

Engineering Consultant (Formally from Uni of Tokyo)

Sri Kantha Herath (Water Management, Climate Change & Urban Infrastructure)

Private Sector Partners

Universities

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WE HAVE THE CAPABILITY TO DELIVER

Sensing, prediction and management

Emerging Water Quality Prediction

Emerging online PFAS monitoring at source and filtered water (R & I)
Online NOM and THM sensing from Catchment to tap (R & I)
Raw Water Quality Sensing and Prediction (Operational)

Distribution

Smart sensing for water loss management (Operational)
Lidar on a drone sensing for wetness around water and sewer pipes (Field Validation and Operationalisation)
Monitoring of disinfection-by products in distribution systems

Buried Asset Condition Assessment

Long term and/or alarm monitoring noninvasive condition assessment (Operational)
Continuous remaining wall thickness of buried assets (Field Validation and Operationalisation)
Gravity concrete sewer corrosion sensing (R & I)

Service Reservoirs

Online sensing for water ingress (Field Validation and Operationalisation)
Automated condition assessment (Field Validation and Operationalisation)

Machine Learning Based Decision Making

Machine Learning Prediction for Asset Failure (Operational)
Water loss prediction using acoustics (Operational)
Sewer Pressure Main and Critical Water Main sensing failure prevention (Operational)
Concrete corrosion prediction (Field Validation and Operationalisation)
Sewer Pressure Main and Critical Water Main sensing failure prevention (Field Validation and Operationalisation)

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WE HAVE THE CAPABILITY TO DELIVER

Collaborative Environmental Solutions

Urban Stormwater Prediction and Management
Weather forecasting to manage events
Climate change impact assessments on infrastructure performance
Advanced modelling and prediction of events

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WHY PFAS MONITORING IS NEEDED

Per- and polyfluoroalkyl substances P(FAS) have become a challenge to the water industry.
PFAS are ubiquitous, persistent, bioaccumulative, and resistant to degradation. As the scientific understanding of PFAS evolves, regulation is becoming stricter.
In most cases, to meet regulatory limits it will be necessary to retrofit both capex and opex intensive such as granular activated carbon
Highly sensitive IoT sensors are needed to ensure that retrofitted technologies would only be operative when a threshold PFAS concentration is detected

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DEVELOPMENT OF IOT BASED PFAS SENSORS

Sensors combine the adsorptive properties

of graphene oxide to selectively accumulate PFAS materials

and

IoT long period gratings (LPG) photonics-based sensors to quantify PFAS on graphene oxide.

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IOT SENSING OF CRITICAL CONCRETE STRUCTURES

Photonics based sensors for long term strain monitoring of buried pumping stations
Industry needs to safely "sweat-the assets" to maximise the end of service life. No technology is available for long term continuous assessment monitoring.
We have successfully tested these new photonic based strain sensors for several years in live sewage pumping stations.
It is possible to develop traffic light based algorithm that will assess the strain against pre-established values

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MACHINE LEARNING PREDICTION OF BURIED ASSET FAILURE

A new and reliable machine learning approach to integrate multi-source data and enhance situational awareness for water network and operations.
A prediction tool has been developed to understand the behaviour of the water pipe network, which has the features of GIS dashboard visualization and pipe Failure prediction.
Ability to predict 80% of the failures within 200m.

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LIDAR ON A DRONE IDENTIFICATION OF WET PATCHES FOR BURIED ASSETS

For nature strips > 50% of the mains

Target using machine learning prediction of high priority pipes
Ability to target hot spots for wet patches as the initial scan
First low-cost option – non - invasive
Followed up with other options

Acoustic integrated active leak detection
Quantum Sensing
Dogs etc

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SMART SENSING FOR WATER LOSS MANAGEMENT AND PREDICTION

Machine learning predicted high priority pipes (surfacing leaks)
Systematic Minimum Night Floor analysis of pressure zones
Targeted acoustic sensing integrated active leak detection
Machine learning based systematic analysis of the acoustic signals
For background water loss and critical water main high consequence pipes

Photonics
Quantum Sensing
Dogs etc

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PRESSURE CHANGE – DIRECTED WATER LOSS FOR CRITICAL WATER MAINS

FBG-based fibre-optic sensor design can detect minute pressure drops (100Pa, 1mbar) in pressurized water pipes.

Sensors can be deployed in valves of the pressurised pipes. No excavation is needed.

The combined use of spectral analysis and adaptive filtering allowed for the detection of the ‘onset’ of leaks as small as 2mm in diameter under the described test conditions.

It has also been shown that the time delay between the sensor responses can be used to localise leaks if the highlighted parameters of the pipe and the medium are known.

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NONINVASIVE CONDITION ASSESSMENT�

Opportunistic, noninvasive assessment of water main condition during routine repairs

Handheld device for measuring pipe wall and cement lining thickness

Real-time, on-site display with grid mapping of collected measurements

Cost-effective and user-friendly tool, easily integrated into a field engineer’s toolkit

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CONTINUOUS REMAINING WALL THICKNESS USING ONLINE SENSING

Assess the condition of a critical water main without disrupting service

Inserted to a live pipe

Able to stay in the pipe and operate over a long time interval

Gathers and relays information to produce a pipe wall thickness map

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GRAVITY CONCRETE SENSING TO AVOID FAILURE

Ability to target avoid fail hot spots using asset condition machine learning and hydrogen sulphide dynamic prediction
Integrate the sensing to target soft concrete within the hot spots
Use deployment technology from the market to integrate this sensing capability
Interpret the results using machine learning to target the coatings to fit to the needs

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SEWER PRESSURE MAIN AND CRITICAL WATER MAIN FAILURE PREVENTION

Machine Learning Prediction of the failure
Identification of the hotspots with desktop review
Assessment of the asset performance based on the topography
Assessment of the consequences
Targeted external review of the hot spots
External Pulse Eddy Current investigations
Review of long term photonic measurements
Review sewer pressure internal CCTV and other asset infor
Assessment of pressure transients
Target any opportunities for internal investigations
Target renewals and validation

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WATER SERVICE RESERVOIR SENSING

Ability to detect unexpected ingress

Reservoir inspection by a drone assisted sensing

Structural stability monitoring using photonics

Interpret the results using machine learning to target the coatings to fit to the needs

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ONLINE NOM MONITORING FOR RAW WATER QUALITY AND TREATED WATER

Multi Photonic (Multiplexed) Sensors

Based on a UV transmitting fibre bundle to allow a wide spectrum of wavelengths, from 250 nm to ~2 microns, in a single optical platform

Low profile – small size due to the use of fibre optics

Highly flexible – can be inserted into pipes and round bends using the flexibility of the fibres used

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DISINFECTION BY PRODUCTS MINIMIZATION WITH INNOVATIVE POLYELECTROLYTES

New polyelectrolytes to minimise by-products production
Natural organic matter (NOM) in raw waters has increased.
DBP limits are to be reduced from 220 ug/L down to 80ug/L
Conventional polyelectrolytes, such as polyDADMAC, have limited performance.
Unremoved NOM after coagulation contributes to disinfection by-products (DBP).
Utilities will need new polyelectrolytes to improve NOMs removal.

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DYNAMIC RAW WATER QUALITY PREDICTION

The toolkit understands the impacts of factors on raw water quality and build machine learning predictive models of water catchment to provide robust probabilistic predictions of raw water colour, NOM, turbidity at different catchments and potentially optimise plant capacity and operations.

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DISINFECTION BY PRODUCT SENSING IN DISTRIBUTION SYSTEMS

Natural organic matter (NOM) has increased in raw waters

Conventional water treatment processes have limitations to maximise NOM removal.

Unremoved NOM are precursors to disinfection by-products formation.

We have created a common optical sensor platform based on fibre optic for all the optical measurements needed

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ENVIFORECASTING IOT PLATFORM�

Enviforecasting IoT platform can ingest streaming IoT data from a variety of hosts
Utilize both Google cloud services, IoT core, Pub/Sub merged with direct input to database through Nginx/Flask server
An optimal cost-effective method for a particular user case is selected for data ingestion
Multiple projects can use the platform services independent of each other.

�About the iot platform

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ENVIFORECASTING IOT PLATFORM�

Engineering Consultant (Formally from Uni of Tokyo)

Sri Kantha Herath (Water Management, Climate Change & Urban Infrastructure)
Director Enviforecasting LLC
https://enviforecasting.com

�Weather Forecasting, Climate Change Impact Assessment, Storm Water System Solutions

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FAQ LIST

Q: What types of water networks do you support?�We cover drinking water, wastewater, and stormwater—urban and remote.

Q: How do you improve regulatory compliance?�Our tools automate data capture and reporting, reducing the compliance burden and ensuring transparency.

Q: Can you help us access government funding?�Yes. We guide and support applications for State and Commonwealth grants.

Q: Do you use artificial intelligence?�Yes. AI and machine learning power our predictive models for asset renewal and water quality forecasting.

Q: What makes your solutions different?�They’re validated, collaborative, and designed to work within your existing systems—not replace them overnight.

Q: How long does it take to see results?�Every project is different, but most partners see measurable improvements in reliability and compliance within the first year.

Q: Do we need new systems to use your solutions?�No. We enhance and connect what you already have, avoiding costly rip-and-replace projects.

Q: Are your solutions only for large utilities?�Not at all. We work with councils, remote communities, and industries of all sizes.

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HOW DO WE DELIVER

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TRANSLATION AND UPTAKE

Customer Needs Outcomes

Outcomes Validated at operational level

Plan for integration

Translated into Business as Usual

Fit for purpose resourcing method engagement based on customer needs

Sustainable implementation in place

Metric	Measurement	Target	Actual
Comparison of before and after	Based on the parameter	Agree with customer
1–3-year review	Based on the parameter	Measure impact	Positive
Exception and failure management (<1 year)	Based on the parameter	Measure impact	Positive
Cost (3-5 year)	Maintenance, Repair and Renewal	Lower	Efficiency
Overall impact to actual customer and regulation	Measure over five years	Trend	Positive

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