This document discusses an Internet of Things (IoT) architecture for water resource management. It outlines components of the architecture including real-time sensor data collection and analytics, water resource servers, web-based modeling tools, and an IoT-based decision support system. Benefits highlighted include improved operations during dry and wet weather, minimized damage during disasters, and optimized resource usage through constant process improvement. Cybersecurity and cloud computing solutions are also discussed.

1. IOT ARCHITECTURE FOR
WATER RESOURCES SECTOR
Ashok Matta

2. PRESENTATION CONTENTS
•Water Resources IOT Components
•Water resources server cluster
•Real Time Flow Monitoring Data Analytics
•Web based SWMM/HEC-RAS/Flood Modeling
•IoT Platform based Advanced Decision Support
System
•Cloud Computing cost savings and Conclusion

3. IOT ARCHITECTURE COMPONENTS
CYBERSECURITY SOLUTION (DATA DEFENDS ITSELF)
CYBERSECURITY SOLUTION (DATA DEFENDS
CYBERSECURITYSOLUTION(DATADEFENDS
ITSELF)
CYBERSECURITYSOLUTION(DATADEFENDS
ITSELF)
Water Resources
Server Cluster
Water
Industry Cloud
Web Access
HIGH
PERFORMANC
E COMPUTING
CLUSTER
COMMUNICATION
PLATOFRM
3G,4G,5G,Internet (Wi-Fi, WiMAX and any 5G Tech)
REAL TIME
SENSOR
DATA
MAPPING
DATA
SERVERS
H/H MODEL
SCRIPT &
COMPONENT
S
MODEL
RESULT
REPOSITORIE
S
DATA
COLLECTION,
DATA QAQC,
MODELING,
REPORTING
HIGH PERFORMANCE COMPUTING

4. WATER RESOURCES SERVER CLUSTER
Water Resources Server
Cluster
Water Resource
Managers
Program Manager &
Consultants
State Planners
(DEP,DEQ etc.)
On-site
technicians
and Survey
Crew
EPA
Responsible
&Data driven
DATA VISUALIZATION TOOLS
SWMM,HEC-RAS ,Water
Quality Models, Watershed
Models ,Model Scripts,
Model Components
Model
Result
Repositories
All Data
Repositori
es
Researchers
LOCAL and
GLOBAL Real
Time Controls
(RTC)

5. REAL TIME FLOW MONITORING DATA
ANALYTICS
AUTOMATED DATA VALIDATION, OUTLIER IDENTIFICATION
AND FORECASTING
REAL TIME
SENSOR
DATA
KNOWLEDGE BASE REFERENCE
Machine Learning Techniques
help categorize the type of
scattergraph and gives
operator to confirm the field
situation
Artificial Neural
Network based
forecasting; Outlier
Identification;
Validation
Operators make sure the
sensor placement and
other logistics are in place
Good quality data saved
in databases for years
can help seasonal and
regional climatic
patterns.
The databases should
have spatial, temporal,
location data for
automated work orders
or extra survey of nearby
sites.
Automated
Discharge
Monitoring
Reports with
Engineer Review

6. WEB BASED H/H MODELING
COMPONENTS
PREVIOUS WORK (PCSWMM ,CHI)
Real Time Data Acquisition & Modeling
Source :
http://www.chiwater.com/Solutions/Software/RealTimeData.asp
Schematic of full-scale website architecture
Source : https://www.chijournal.org/Journals/PDF/R228-08

7. IOT PLATFORM BASED ADVANCED DECISION
SUPPORT SYSTEM
WATER RESOURCESThe advantages of IoT for the Water Sector
i. Real time water asset management , tracking of
rehabilitation and other activities
ii. Enhanced situational awareness of the area for forecasting
failures
iii. Sensor-driven decision analytics
iv. Wastewater treatment Process optimization
v. Optimized resource consumption (Maximum Conveyance
Utilization)
vi. Instantaneous control and response in complex autonomous
systems during inclement weather situations (Early Warning
Systems to avoid loss of life , property damage etc.)

8. IOT PLATFORM BASED ADVANCED DECISION SUPPORT
SYSTEM
IOT ARCHITECTURE BENEFITS
1. SMOOTH DRY WEATHER AND WET WEATHER OPERATIONS
2. BETTER MOBILIZATION AND MINIMUM DAMAGE DURIND DISASTER
SCENARIOS
3. CONSTANT IMPROVEMENT OF PROCESSES FOR OPTIMIZATION OF
RESOURCES

9. CYBERSECURITY SOLUTION
• Data dispersion based technology
• Data defends itself when everything fails, so its impossible to recreate the original data by
hacker
CONTACT ME FOR A DEMO.
Can you believe this ?
After energy sector the
most intruded critical
infrastructure sector is
Water and Wastewater
Systems ?

10. DATABASES FOR RESEARCHERS AND
CITIZEN SCIENTISTS
REAL TIME
SENSOR
DATA
Researchers and
Citizen Scientists
Researchers and the Citizen Scientists
could contribute to :
• Development of analytic solutions
based on several advanced statistical
concepts like Machine Learning,
Entropy, Boltzmann Machines etc. to
find hidden patterns in the data
• Advanced Time Series Analysis for
better understanding of the properties
non-linearity, seasonality, complexity,
cyclicity, stochasticity, fractality, chaos,
and so on.
• Development of cheaper
supercomputers for parallel processing
• Development of Algorithms for optimal
real control of water and sewer
networks
• Development of Apps for integration of
several technologies

11. MILLVALE FLOOD SEPTEMBER 17,2004
4:30PM
PROPERTY
DAMAGE
PUBLIC INFRASTRUCTURE
DAMAGE
CORPORATE INFRASTRUCTURE
DAMAGE
REPORTED LOSS OF LIFE IN FEW
CASES

12. IOT SOLUTION FOR A NATURAL DISASTER LIKE
MILLVALE FLOODING
• NO FAILURES
DUE TO
HACKED
DEVICES
• CYBERSECURI
TY SOLUTION
PROTECTS
ANY FALSE
ALARMS

13. CLOUD COMPUTING
Cloud Computing
1. No Maintenance and hardware problems
2. Always upto date
3. Calibration
4. Pay as you consume
5. No upgrade costs
6. Secure Data
Conclusions
There are many open source IoT platforms available which can
seamlessly integrate sensors , water utility control devices and data
analytic programs to create a robust system to protect our
infrastructure and the public from natural hazards.
For any enquiries please contact : engineermatta@gmail.com