1. Intelligent Water Network
The Story of Ariel

2. General Information

3. AOLWC – Ariel On Line Water Control
• AOLWC is a R&D pilot project subsidized
by the government.
• Carried out as a joint vendor project of water
company of City of Ariel, Arad Technology
(expertized in AMR manufacturing, setting
& management) and TAHAL as software
developing and project leading.

4. The Project Targets
Improvement of control & operation over the city water
distribution network, as close as possible to real time, in
order to reduce water loss and save energy, by using
methods of statistical analysis of AMR data along with
hydraulic analysis carried out by on-line simulation on
hourly basis. Accumulated data & simulation results are
processed in order to raise On-Line AMR & hydraulic
alerts. A next stage of BI processing system will suggest
solution to problems, resulting from huge knowledge base
of data & rules along with capability of machine learning
over time.

5. General Data
• Small city area 5x1 Km with 5 pressure zones
ranging between 500m – 700m
• Residents ~20,000
• Total length of water distribution system pipes
50Km of diameters ranging between 20 - 300mm
• 4 big water tanks backed by 3 pump stations + 4
connections to Mekorot supplying points.
• Scada system located on the water tanks & pumps
• 5000 AMR meters connected to all customers, of
which 2400 are main counters.

6. The City Water Network On Top Of Areal Photo
Challenging topography 500 – 700 meter
5 Pressure zones
26 DMAs (District Metering Area)

7. A Typical Screen of The GIS Monitoring
Application

8. Typical Daily Distribution Of The City Total
Demand Based On AMR Measurement
6/4/2011 ‫במ"ק/שעה‬ ‫קר"מ‬ ‫נתוני‬ ‫ע"פ‬ ‫יומית‬ ‫צריכה‬ ‫השתנות‬ - ‫אריאל‬
0
50
100
150
200
250
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
‫ביממה‬ ‫שעה‬
‫ספיקה‬
‫יומית‬ ‫צריכה‬ ‫הכל‬ ‫סך‬
‫מ"ק‬ 3225
Daily total demand distribution for April 6th 2011(m3/hr)
Total for the day 3225 m3
Demand(m3/hr)
Hour in the day

9. The Design

10. Scada
-
Monitoring
&
POTER
Process
DBA
Application
Database of Processed Results
Client
Application
LAN
Dual Screen
Monitor
Clock
Internet
Cloud
AMR data
center
Water company office
AOLWC – General Components Scheme

11. The Water Network Topology
Point Feature - Point
· Water pipes joint
· Stores aggregated demand
from connections related to
the jointed pipes
Logical node
· Served as a node in a
hydraulic network model
· Also related to geographic
location
· Nodes define connections
among various network
elements
Line Feature - Line
· Water pipe
· Stores information such
as diameter or hydraulic
friction
Switch Feature - Pump
· Water pump
· Stores hydraulic
information such as work
curves
Point Feature – Reservoir
· Water reservoir or tank
· Stores information such
as water level
Georaphical index
· Unique X ,Y location
· Logical nodes connected to
geo-index in parent to children
relationConnections (water meters)
· Children of water pipes
· Used to carry out demand
aggregation to hydraulic
model nodes

12. Implementation

13. The Database Establishment
• Setting up the water distribution GIS model
using GIS based application for design
• Relating customer connections to water
network pipe lines
• Storing the all GIS topology & physical
data into SQL database server

14. Setting The Network & Relating Customers
To Water Pipes

15. Water Network Entities As Presented In
The Database Tables
GIS Linking fields
Junctions table Pipe lines table

16. Automated Processes In
The Database Server

17. Automated Processes In The Database Server
• AMR Download Continuous aqcuization of water
meters readings & organize them as DB tables.
• Scada Download Continuous aqcuization of
SCADA readings & organize them as DB tables.
• Demand Calculator Hourly demand calculation
as derived meter reading.
• Water Balancing Continuous calculation of the
water balance for each one of the 26 DMAs.
• Hydraulic Simulation Hourly hydraulic
simulation based on the initial conditions as
calculated in the above processes.

18. Demand Calculator Process
‫מונה‬ ‫קריאות‬ ‫גרף‬
1152
1153
1154
1155
1156
1157
1158
1:56
17:57
9:11
23:21
19:56
13:56
5:57
1:26
13:41
5:57
13:56
4:12
20:12
9:56
3:12
‫זמן‬
)‫(מ"ק‬‫כמות‬
‫למונה‬ ‫שעתית‬ ‫צריכה‬ ‫גראף‬
0
0.01
0.02
0.03
0.04
0.05
0.06
1:00
3:00
5:00
7:00
9:00
11:00
13:00
15:00
17:00
19:00
‫זמן‬
)‫שעה‬/‫(מ"ק‬‫צריכה‬
Demand (m³/hr) = Δ[Volume (m³)] / Δ[Time (hr)]
Raw data of
meter readings
→
Calculated
demands
→
Meter reading graph
time
Volume(m3)Demand(m3/hr)
time
Demand graph

19. Water Balance – Total Demands of Inlets,
Outlets, Consumed & Losses
Meters on inflow pipes
of the measuring area
Meters on outflow pipes
of the measuring area

20. Long Term Water Balance Variation For
Selected Measuring Area
Consumed + outflow demandInflow demand
Water balance variation of DMA 26 for period: Wednesday Aug 15th for duration of 3 days

21. Calibration Of Valves Status Due To
Maintenance Event
• Maintenance events cause changes in network
valves status.
• AOLWC supports the updating of valves status
changes for a select future (not yet simulated)
period.
• This feature guaranties for the appropriate
simulation of time periods when network
maintenance activities take place.

22. Hydraulic Simulation
Process

23. Main Stages In The Hydraulic Simulation Process
• Retrieving the water network data from the database.
• Demand aggregation from customer connections to
adjacent model junctions for the selected time.
• Updating tanks water levels & pumps status as
retrieved from the SCADA tables for the selected
time
• Setting simulation data file.
• Running the simulator.
• Populate simulation results (pressures, flows, head
losses, energy efficiencies) in the database tables.

24. Triggering Of The Hydraulic Simulation
The simulator will not run under un-reasonable conditions
Its Go/No-Go trigger follows the below algorithm:
FOR EACH Simulation Hour
IF
(The total number of meter readings > 70%)
AND
(All SCADA data for the selected hour available)
THEN
GO !
ELSE
SKIP !
END IF
NEXT Hour

25. Demand Aggregation
612.0
612.2
612.4
612.6
612.8
613.0
613.2
613.4
613.6
613.8
614.0
0 0.05 0.1 0.15 0.2 0.25
3 junctions
12
junctions
Connections
Pipe
Model node
Demand
accumulation
to closest node
Comparison of energy loss between
aggregated & explicit models
Aggregated model vs explicit model
3 nodes & 2 pipes
3 nodes, 2 pipes & 12 connections

26. Database results storage
Junction results Pipe results
Pipe results Solution statuses log

27. Simulation Results On GIS Client Application

28. Alerts

29. AOLWC – Alerts Types
Remote AMR
• Excessive demand in single meter. Priority given to
meters on measuring areas inflow & outflow pipes.
• Abnormal water balance in DMAs.
Remote SCADA
• Abnormal water level in water tanks.
• Miss functionality of pumps
Hydraulic Simulation
• Abnormal calculated pressures in nodes.
• Abnormal calculated head loss in pipe lines.
• Abnormal calculated efficiency operation of pumps.

30. Criteria & Parameters In Alert Raising Decision
AMRalertsSCADAAMRalerts

31. Alerts Display On GIS Client Application

32. AOLWC Future Plan
Integration of BI (Business Intelligence) systems.
BI monitoring will analyze alert messages by using
high quality knowledge combined of hydraulic
network information, along with dynamic
operational data, historical data, built-in &
machine learned rules. The results will point out
problem locations and suggest recommended
actions needed.