Keeping an intelligent eye on your assets
Visenti solutions combine a variety of data sources to provide actionable information to operators to reduce leaks, locate bursts, and manage assets better.
Visenti was born organically as an MIT spin-off.
Distributed Sensors & Smart Networks
Leak detection, localization, and notification
Detect slow growing leaks
Detect and localize bursts
Provides NRW calculations
Detects existing leaks where there is more noise spatially
Detects growing leaks where noise increases temporally
Detects and localizes potential bursts utilizing transient signatures
Identifies problem areas by performing a water balance
Provides NRW calculations
Effective in all Network Configurations.
Complex Open Networks, Trunk Mains, Isolated District Metered Areas.
- Effective on pipe diameters above 100mm (4 in)
- Burst size 1L/s (15 gpm) and above.
- Leak size 5L/m (1.5 gpm) and above.
- All materials – Asbestos Cement, Any metal pipes such as Cast Iron, Ductile Iron, Steel etc., Plastic pipes such as PE, HDPE and PVC (with higher density sensor layout)
- Real-time (24/7). Not only during night time
- Leak localization accuracy – 20 to 100m (then the utility needs to survey the suspected pipe to pinpoint the leak
- Alerts are sent in real-time to the customers by Visenti’s control room – typical advanced notice is 6-8Hrs advanced notice prior to any other form of detection
LeakView – Burst example
LeakView – Example of slow growing leak
The system has detected increased acoustic noise within a range of 500m from the sensor location due to a slow developing leak. After the pipe has been repaired the acoustic energy has been significantly reduced until a new leak has been detected due to acoustic energy increase. When the second leak has been repaired the acoustic energy has been significantly reduced again meaning that there are no other leaks after the pipe repair.
LeakView – Existing leak example
Pressure Transient Monitoring & Pipeline Risk Assessment
Pipe failure mitigation:
SurgeView correlates transients with operational and meter data to identify cause.
Pipe risk and stress level monitoring:
Pairing with pipe age and material, SurgeView identifies the areas most at risk to failure.
- Same high-rate pressure sensors as LeakView
- Sampling range: 64 Hz – 256 Hz
- 4 km detection range
Instrumentation enables the solutions.
Hardware deployments are flexible.
- 10 minutes to install
- Weather independent
- Better data
- Solar panel to increase battery life
- See and hear new & existing leaks before they become bursts
- Respond to bursts before they cause catastrophic damage
- Identify the small fraction of pipes that really need repair through in-line and fixed monitoring – save $’s
- Use intelligence to identify and predict problems in your network before they happen
- Help to identify real water losses
Let’s Look at the Big Picture / Your System
- Less hydro use for pumping & treating water
Global Greenhouse Gas Emissions
Global Carbon Hits Record Highs – Off The Chart
(New Civil Engineer, Feb 2018)
UN COP21 Climate Change Conference in Paris, Dec 2015
- This century – global temperature rise below 2%
- 195 Countries signed agreement
Not Good News
- 2017 and 2016 2nd and 3rd hottest years on record
- Global emissions rose in 2017, after 3 years stable
Money Driven Action
- Companies investing trillions of dollars “tell us about your climate risks”
- Investment diverted away, if not positive contribution to Paris Agreement
Municipal Hydro Use In Ontario – Water / Wastewater
Largest hydro use – pumping and treating water / wastewater
Typically water uses 80% and wastewater 20%
Finding and fixing leakage reduces CO2 emissions
Although Canada / Ontario relatively “clean” hydro, and not predominately coal fired generation, still scope to reduce
- Water only – kWh to pump and treat 1 m3 = 0.580 kWh
- kg of CO2 per kWh = 0.120 kg
- kg of CO2 to produce 1 m3 of water = 0.70 kg of CO2
Environmental Costs – Greenhouse Gas Emissions
Let’s Move Onto Apparent Losses
Customer Meter Testing
Customer Meter Under-Registration:
- Data Base Analysis
- Statistically Valid Number of Meters Tested
Customer Meter Revenue Loss How Much – One Approach “A”
- Most current customer meters are mechanical
- Latest technology is not mechanical – more accurate over time
- Older mechanical meters, as a group, under-register
- Key to analyse meters by size, age and type
- Need independent testing of sample of meters – statistically valid
- With results, know percentage of under-registration, and revenue loss
- Can then design a meter changeout program, and include AMR/AMI (reading, billing and analysis component)
Estimate of Under-Registration
Customer Data Base Analysis
- Analyse meters by age, size, type and metered volume
- Divide meters into 5 year increments, and estimate under-registration
- Design meter testing program
- Test meters in age bands, across whole system – randomly selected
- Statistically valid number of meters