Intelligent Water Supply Network Monitoring and Control for EQuitable Distribution of WATER within a Mega city (EQWATER)
Primary Information
Domain
Water Resources & River Systems
Project No.
5786
Sanction and Project Initiation
Sanction No: F.No.3-18/2015-TS-TS.I
Sanction Date: 29/11/2016
Project Initiation date: 24/08/2017
Project Duration: 36
Partner Ministry/Agency/Industry
Ministry:Ministry of Urban Development (MoUD) Industry: Bangalore Water Supply and Sewerage Board (BWSSB) Larsen and Toubro (L&T)
Role of partner: Industry partners will assist in data acquisition, modelling support, field implementation of developed technologies etc.
Support from partner: Partner industries will help with data acquisition and field implementation of developed technologies and algorithms
Principal Investigator
Mohan Kumar M S
Indian Institute of Science
Host Institute
Co-PIs
Amrutur Bharadwaj
Indian Institute of Science
Rajesh Sundaresan
Indian Institute of Science
Yogesh Simmhan
Indian Institute of Science
Chiranjib Bhattacharyya
Indian Institute of Science
R. Parthasarathy
Indian Institute of Science
P. N. Ravindra
Bangalore Water Supply and Sewerage Board
Scope and Objectives
Understand the complex water distribution network of south Bangalore division using data from existing measurement devices Explain inequity in water distribution by studying demand-supply patterns Provide control and scheduling schemes to achieve equitable water distribution using requisite algorithms Demonstrate applicability of developed models and algorithms on a pilot test bed in the study area Develop water quality models at service station level Provide guidelines to integrate the developed algorithms into the BWSSB water management system
Deliverables
Assessment report on degree of inequity in water distribution in Bangalore south division (study area) Detailed hydraulic model for study area Demand- supply models at various scales within the study area Leak detection algorithms for study area Water quality attenuation models for study area Control and scheduling algorithms to reduce inequity Strategy for optimal placement of water quality sensors and validation on pilot testbed
Scientific Output
In- depth understanding and analysis of BWSSBs complex network to assess degree of inequity. Model to explain inequity in distribution at division level and service station level. Pilot scale test bed to demonstrate inequity-reducing control and scheduling algorithms. Guidelines to BWSSB for achieving equitable distribution via new control and scheduling algorithms
Results and outcome till date
In- depth understanding and analysis of BWSSBs complex network to assess degree of inequity. Model to explain inequity in distribution at division level and service station level. Pilot scale test bed to demonstrate inequity-reducing control and scheduling algorithms. Guidelines to BWSSB for achieving equitable distribution via new control and scheduling algorithms
Societal benefit and impact anticipated
Improved customer satisfaction- improved water supply, both in terms of quality and quantity (i.e., reduced inequity in supply and better water quality at end point) More comprehensive understanding of the system for partner industry, BWSSB. Accurate identification of leaks in the system, leading to reduced water loss, and higher revenue recovery Big data platform for dashboarding of data, enabling better data curation and management for superior decision making by BWSSB
Next steps
The major upcoming agenda is to demonstrate the real-world applicability of the technologies and algorithms developed under the project. A pilot test bed has been identified within the study area, where field tests will be carried out and the efficacy of the models and technologies will be tested.
Publications and reports
Alva, P., K.R.Sheetal Kumar, Simmhan, Y., Kumar M. ,"Enabling Equitable Water Supply in a Mega-city using a Big Data Analytics Platform". International Conference on Computing and Control for Water Industry. 2019 Thussu, S., Kumar, M."Sensor-based infrastructure for water quality measurement in a pilot loop set-up" International Conference on Computing and Control for Water Industry. 2019 Bharanidharan B, Kumar, M., Parthasarathy R."Ensemble learning for short-term urban water demand forecast" International Conference on Computing and Control for Water Industry. 2019 Bharanidharan B, Kumar, M., Parthasarathy R."Short-term forecasting of urban water consumption for South-West Bangalore, India, using a coupled Hilbert-Huang Transform and Random Forest-based model". American Geophysical Union Fall Meeting. 2019 (submitted) Suchetana, B., K.R., Sheetal Kumar, Kumar M., Sundaresan, R. "Developing a Probabilistic Score to Assess the Degree of Equity in an Intermittent Water Supply System in South Bangalore, India" American Geophysical Union Fall Meeting. 2019 (submitted) Anjana, G.R., Kumar, M., Amrutur, Bharadwaj, "Comparison of Inverse Modelling and Data Assimilation based Techniques for water quality parameter estimation in distribution systems". International Conference on Computing and Control for Water Industry/ Water Distribution Systems Analysis. 2018 K.R.Sheetal Kumar, Kumar M. , Amrutur Bharadwaj, Sundaresan R. "Assessment of Water Supply Inequity in a Megacity: A case study of Bangalore South Division".International Conference on Computing and Control for Water Industry/ Water Distribution Systems Analysis. 2018 Bharanidharan B, Gaddipati, Karthik, Kumar, M., "Ensemble learning for short term urban water consumption forecast".International Conference on Computing and Control for Water Industry/ Water Distribution Systems Analysis. 2018 Badiger, Shreyas, Shrey, Baheti, Simmhan, Yogesh "VIoLET: A large scale virtual environment for Internet of Things". Technical Report. Anjana, G.R., Kumar, M., Amrutur, Bharadwaj, Kapelan, Zoran, "Real-time water Quality Modelling with ensemble Kalman Filter for state and parameter estimation in water distribution networks". (accepted) Journal of Water Resources Planning and Management
Patents
Nil
Scholars and Project Staff
Dr. Bihu Suchetana
Sheetal Kumar
K.R. Bharanidharan
B. Ramakrishnan
S Shruti Thussu
Dr. Rishu Saxena
Challenges faced
Nil
Other information
Nil
Financial Information
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Total sanction: Rs. 39900000
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Amount received: Rs. 24500000
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Amount utilised for Equipment: Rs. 1239078
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Amount utilised for Manpower: Rs. 3107800
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Amount utilised for Consumables: Rs. 928865
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Amount utilised for Contingency: Rs. 67377
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Amount utilised for Travel: Rs. 349905
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Amount utilised for Other Expenses: 0
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Amount utilised for Overheads: Rs. 4025000
Equipment and facilities
Field equipment (e.g., flow, pressure meters etc.) have been finalized and will be ordered shortly before field testing begins Pressure transmitters, temperature sensors and water quality sensors have been procured for smart water network prototype (pictures provided) Water network software have been bought for detailed hydraulic and water quality analyses Portable water quality measurement device has been procured