The Bengaluru Water Supply and Sewerage Board has deployed an artificial intelligence-powered Supervisory Control and Data Acquisition system to address water loss and improve operational efficiency across the city’s distribution network.
The initiative is aimed at tackling non-revenue water, which includes losses due to leakages, theft, and inefficiencies in distribution. By integrating AI with SCADA technology, the board seeks to monitor water flow in real time, detect anomalies, and respond more quickly to potential issues within the system.
The upgraded SCADA centre uses sensors and data analytics to track water movement across pipelines, reservoirs, and treatment facilities. These inputs are processed using AI algorithms that can identify irregular patterns, such as sudden drops in pressure or unexpected flow variations. Such insights enable authorities to pinpoint leakages and take corrective action before the problem escalates.
Officials indicated that the deployment is part of a broader strategy to modernise urban infrastructure and adopt data-driven governance practices. With Bengaluru facing increasing demand for water due to rapid urbanisation, efficient management of existing resources has become a priority for the board.
The use of AI in water management is expected to enhance decision-making by providing actionable insights. Instead of relying solely on manual inspections and reactive measures, the system allows for predictive maintenance and proactive intervention. This shift can help reduce operational costs and minimise service disruptions.
The SCADA system also supports centralised monitoring, enabling operators to oversee multiple locations from a single control centre. This capability is particularly useful in managing a large and complex network such as Bengaluru’s water supply system. By consolidating data from various sources, the board can maintain better control over distribution and ensure consistent supply to different parts of the city.
In addition to reducing water loss, the initiative is expected to improve transparency and accountability in operations. Real-time data can be used to track performance metrics, assess system efficiency, and identify areas that require improvement. This aligns with broader efforts to enhance public service delivery through technology.
The deployment reflects a growing trend among urban utilities to adopt smart solutions for resource management. Cities across India are increasingly leveraging technologies such as IoT, data analytics, and artificial intelligence to address infrastructure challenges. Water management, in particular, has emerged as a key area for innovation due to the critical nature of the resource.
Experts note that non-revenue water remains a significant issue for many urban centres, leading to both financial losses and resource wastage. Solutions that combine real-time monitoring with predictive analytics can play a role in mitigating these challenges. The Bengaluru Water Board’s initiative is seen as a step in this direction.
The integration of AI into SCADA systems also highlights the convergence of traditional infrastructure with digital technologies. By upgrading existing systems with advanced analytics, utilities can extend their capabilities without the need for complete overhauls. This approach allows for gradual modernisation while maintaining operational continuity.
While the system is expected to deliver measurable benefits, its effectiveness will depend on factors such as data accuracy, system integration, and ongoing maintenance. Continuous monitoring and refinement of AI models will be necessary to ensure reliable performance over time.
The Bengaluru Water Supply and Sewerage Board’s adoption of AI-powered SCADA technology underscores the role of innovation in addressing urban challenges. As cities continue to grow, the need for efficient and sustainable resource management is likely to drive further adoption of such solutions.
The initiative also reflects the increasing importance of digital transformation in public utilities. By leveraging AI and data analytics, authorities aim to enhance service delivery, optimise resource use, and improve overall system resilience.