Water Industry 4.0 - WaterScope S2N developed for water industrial experts and water utilities. Data collection and wireless data transfer from sensors in the water distribution system to the server with real time monitoring and AI/BI aided analysis.
3. 3
Water industry 4.0 – Energy-wise operation
WaterScope shows you the hidden possibilities
Operation optimization
Energy efficiency
improvement
Infrastructure monitoring
Corporate Social Responsibility
Potential saving: 20 %
Potential saving: 30 %
Potential saving: 50 %
4. 4
Three directions of our solution
Measurement and data collection from distribution network
Wireless data transmission - LoRaWAN or NB IoT
Data upload to the server for special database.
Database analysis by BI/AI models
Information visualization
Operation support
Support in strategic use of results
5. 5
Unique selling points
Advantages of our solution
One stop shop – hardware,
software. From design to
implementation.
The latest approach in data
management – customized
uses on various levels from on
site staff to senior decision
makers
Technology developed
specifically for water industry
professional by water industry
professionals
Completely scalable and
applicable for existing and
new systems
6. 6
Where we can measure
We can measure where it is not easy
Well water - quantitative monitoring
Pumping stations - operation monitoring
Basin, water tower and reservoir levels and quantitative
monitoring
Pipeline network monitoring
Industrial zones - water consumption measurement
7. 7
SMART pressure and network monitoring
Reduction of energy consumption and NRW, detection of network failures
DMA online real-time monitoring
Network pressure measurement
Waterflow measurement
Energy consumption reduction
Water balance calculation
Operational status monitoring
Leakage/breakage detection
8. 8
Hawle S2N Smart Hydrant Master
Reduction of energy consumption and NRW, detection of network failures
Network pressure measurement – 2 min intervals
Data transfer – 30 min
Detection of water load and unload
Alarm functions with variable pressure level – event triggered
Hydrant usage signals
Identification of water intake: authorized - unauthorized
Battery lifetime: 20-25.000 communication cycles
9. 9
S2N Smart Pressure Monitoring device
Reduction of energy consumption and NRW, detection of network failures
‚Fit-to-shaft’ version
2 pressure measurements and 1 pulse signal
Pressure measurement – in every 2 min
Data transfer in 30 min
Alarm functions with variable pressure level – event triggered
Battery lifetime – 30-35.000 communication cycles
IP68 housing
10. 10
S2N Smart Pressure Monitoring device
Reduction of energy consumption and NRW, detection of network failures
Storage of data of all water and electricity measurement figures in a
database can be reported and searched:
• Recording periodic consumption data
• Recording of cumulative measurement results
Messages in case of deviation of consumption data from the average
Monthly standard report:
• average values
• maximum / minimum values
Data can be exported in xls or csv format
11. 11
Introduction of DAMS
Different information for different levels from same database
Static data from other
systems
( PLC, SCADA, MIS)
Network management
hardwares
Infrastructure
management hardware
Additional parameters from
other systems
Strategic planning
(Owners, C-level, Logistics,
etc)
Environmental Protection
Agencies
Data Warehouse
DAMS Operation center
(Operation Center, SCADA)
12. 12
Service packages
From data transfer to BI/AI supported data analysis
Basic Standard Advanced Pro
Online devices management X X X X
Data transfer from devices to server X X X X
Data management and data consolidation X X X X
Basic visualisation X X X
Special visualisation X X
Standard automatic reports X X X
Special automatic reports X
Standard notifications X X X
Special notification X X
Simple user management X
Multilevel user management X X
Custom data analysis X X
Advanced data analysis X
Monthly fee
13. 13
Base figures and data
Reduction of energy consumption and NRW, detection of network failures
Pressure figures and analysis – pmax, pmin,
paverage, pdisp….. [bar]
Water quantity, direction of water [m3]
Electrical figures [V, A, kW, kWh…]
Water levels [m]
Alarms and attention signals
14. 14
Potential for clients of the S2N system
The new approach for data conversion
Measuring and collecting network data
Time series data analysis, analysis by periods
Determination of critical points, pipe breakage prediction
New approaches to data analysis:m3/kWh; m/kWh
Cost analysis by dispatchers
Development of new operating proposals
Operations and strategy development support
Support for solar operation
15. 15
Case study at a regional waterworks
Reduction of energy consumption and NRW, detection of network failures
Project: Regional waterworks, 5 towns’
wells and water tower monitoring
Technology: LoRa WAN
Inhabitants: 6 200 people
Unusual parameters are plotted in one graph
Pressures
Energy consumption
Water levels in wells
…
16. 16
Deployed devices at pressure reducers
Reduction of energy consumption and NRW, detection of network failures
Project: Budapest Waterworks
5 pressure and waterflow monitoring
places
Technology: NB IoT
Installed devices: 5 pieces
17. 17
Deployed devices at pressure reducers
Reduction of energy consumption and NRW, detection of network failures
Project:
Zalavíz Waterworks and Zalazone - 10 fire
hydrants and 10 pressure monitoring
devices
Technology: NB IoT
Inhabitants: 55 500 people
Installed devices: 20 pieces
18. 18
Wastewater lift station monitoring
Reduction of energy consumption and NRW, detection of network failures
Measured parameters:
• Operating time and condition
• Energy consumption
• Pressure values
• Water level
Result:
• Continuously collected data for operation
• Trend monitoring, notifications, alarm
• Harmonized operation of pump shafts
• Optimized predictive maintenance and repair
