iot architecture for water resources industry

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IOT ARCHITECTURE FOR WATER RESOURCES SECTOR Ashok Matta

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Page 1: IoT Architecture for Water Resources Industry

IOT ARCHITECTURE FOR WATER RESOURCES SECTOR Ashok Matta

Page 2: IoT Architecture for Water Resources Industry

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

Page 3: IoT Architecture for Water Resources Industry

IOT ARCHITECTURE COMPONENTS

CYBERSECURITY SOLUTION (DATA DEFENDS ITSELF)

CYBERSECURITY SOLUTION (DATA DEFENDS ITSELF)

CYBE

RSEC

URI

TY S

OLU

TIO

N (

DAT

A D

EFEN

DS

ITSE

LF)

CYBERSECURITY SO

LUTIO

N (D

ATA D

EFEND

S ITSELF)

Water Resources Server Cluster

Water Industry

CloudWeb Access

HIGH PERFORMA

NCE 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 &

COMPONENTS

MODEL RESULT

REPOSITORIES

DATA COLLECTION

, DATA QAQC,

MODELING, REPORTING

HIGH PERFORMANCE COMPUTING

Page 4: IoT Architecture for Water Resources Industry

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 Citizens

LIMITED AUTHORIZ

ED ACCESS

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)

Page 5: IoT Architecture for Water Resources Industry

REAL TIME FLOW MONITORING DATA ANALYTICSAUTOMATED 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 for smooth data transfer

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

Ashok Matta
Page 6: IoT Architecture for Water Resources Industry

WEB BASED H/H MODELING COMPONENTSPREVIOUS WORK (PCSWMM ,CHI)

Real Time Data Acquisition & ModelingSource : http://

www.chiwater.com/Solutions/Software/RealTimeData.asp

Schematic of full-scale website architecture

Source : https://www.chijournal.org/Journals/PDF/R228-08

Page 7: IoT Architecture for Water Resources Industry

IOT PLATFORM BASED ADVANCED DECISION SUPPORT SYSTEMWATER RESOURCES The 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.)

Page 8: IoT Architecture for Water Resources Industry

IOT PLATFORM BASED ADVANCED DECISION SUPPORT SYSTEM

IOT ARCHITECTURE BENEFITS

1. SMOOTH DRY WEATHER AND WET WEATHER OPERATIONS2. BETTER MOBILIZATION AND MINIMUM DAMAGE DURIND

DISASTER SCENARIOS3. CONSTANT IMPROVEMENT OF PROCESSES FOR OPTIMIZATION OF

RESOURCES4. ENVIRONMENTAL BENEFITS

Page 9: IoT Architecture for Water Resources Industry

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 ?

Page 10: IoT Architecture for Water Resources Industry

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

Page 11: IoT Architecture for Water Resources Industry

MILLVALE FLOOD SEPTEMBER 17,2004 4:30PM

PROPERTY DAMAGE

PUBLIC INFRASTRUCTURE DAMAGE

CORPORATE INFRASTRUCTURE DAMAGE

REPORTED LOSS OF LIFE IN FEW CASES

Page 12: IoT Architecture for Water Resources Industry

IOT SOLUTION FOR A NATURAL DISASTER LIKE MILLVALE FLOODING

• NO FAILURES DUE TO HACKED DEVICES

• CYBERSECURITY SOLUTION PROTECTS ANY FALSE ALARMS

Page 13: IoT Architecture for Water Resources Industry

CLOUD COMPUTING Cloud Computing 1. No Maintenance and hardware problems 2. Always upto date3. Calibration 4. Pay as you consume 5. No upgrade costs6. 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 : [email protected]