NEXT-GENERATION INTELLIGENT WATER INFRASTRUCTURE: AN EDGE-BASED IOT FRAMEWORK FOR REAL-TIME HYDRAULIC ANALYTICS, AUTOMATED ANOMALY MITIGATION, AND CONSUMPTION-BASED BILLING IN COMMERCIAL REAL ESTATE

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Abstract

Commercial real estate portfolios face mounting pressure to reduce operational costs, comply with sustainability mandates, and enhance tenant satisfaction through accurate utility billing.Traditional water management approaches-reliant on manual readings, reactive maintenance, and estimated allocation methods-fail to address the complexities of modern commercial infrastructure.This paper presents a novel, edge-centric IoT framework designed specifically for commercial water systems.The proposed architecture leverages distributed intelligence through smart valves with onboard processing, multi-protocol connectivity (LoRaWAN, NB-IoT, and LTE-M), and a unified cloud analytics layer.Unlike conventional cloud-dependent models, our approach executes critical leak detection algorithms at the edge, enabling sub-second response times for burst mitigation.The framework integrates three core functions: (1) continuous hydraulic auditing with 15-minute granularity, (2) multi-modal leak detection combining flow anomaly analysis with acoustic sensing, and (3) automated tiered billing compliant with emerging submetering regulations.Validation through pilot deployments in mixed-use commercial properties demonstrates a 25% reduction in water waste, 99.8% billing accuracy, and recovery of previously unbilled consumption equivalent to 18% of total volume.This research establishes a scalable blueprint for transforming commercial water systems from passive infrastructure into intelligent, self-optimizing assets.

Fields of Study & Subjects

Water Systems and Optimization IoT and Edge/Fog Computing Environmental Monitoring and Data Management

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
1 March 2026
Language
EN