Integration of Artificial Intelligence in Delhi Jal Board's Operations
The Delhi Jal Board (DJB) has initiated a collaboration with IIT Kanpur to incorporate Artificial Intelligence (AI) in its groundwater recharge and maintenance operations for water and sewage treatment plants.
Partnership Details
- A Memorandum of Understanding (MoU) was signed between DJB and IIT Kanpur's Airawat Research Foundation.
- The objective is to develop AI-based systems for improved management of Delhi's water and wastewater network.
Key Focus Areas
- AI-Driven Solutions:
- Non-revenue water reduction
- Predictive maintenance
- Real-time monitoring of Water and Sewage Treatment Plants
- Digital Twin Technology:
- Creation of virtual replicas of DJB’s water systems
- Enables early detection of leakages, pressure drops, and system inefficiencies
- AI-enabled Public Grievance Redressal:
- Faster complaint resolution
- Accurate billing
Support for Clean Yamuna Mission
- AI-aided monitoring of wastewater discharge and pollution sources
- Aims to reduce untreated sewage flow into the Yamuna River
Groundwater Management
- AI-assisted monitoring and recharge planning using data from borewells, sensors, and satellite imagery
- Real-time tracking and sustainable management of Delhi’s aquifers
- Predictive analytics for informed decision-making on water demand and recharge zones
Data Privacy and Compliance
- Data privacy and ownership remain with DJB
- Compliance with the Digital Personal Data Protection Act, 2023, and other applicable laws
Project Oversight
- The Chief Executive Officer of DJB will serve as the Project Director.
- A nodal officer will be appointed to coordinate with the technical team from ARF.
This initiative is described as the "future of urban water management" by Delhi Water Minister Parvesh Sahib Singh, emphasizing efficiency improvements and rebuilding citizens’ trust in public service delivery.
