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@article{202261,
        author = {Ananya Chowdhury and Arpita Chaudhury Aich},
        title = {AIoT and GenAI-Driven Digital Twins for Sustainable Autonomic Sewage Management in Industrial Wastewater Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {6641-6648},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202261},
        abstract = {This paper proposes an AIoT-integrated autonomic sewage management framework for sustainable industrial wastewater systems, extending IoT-based smart water quality monitoring from domestic to industrial scales via Swamy’s AIoT model. The model fuses real-time IoT-WQMS data, AIoT analytics, and GenAI-driven digital twins for scenario modeling and interpretable ZED policies. Validated through a blast-furnace case study aligned with reuse and compliance benchmarks, it achieves higher regulatory adherence, increased water reuse, and reduced chemical/energy use.},
        keywords = {Sustainable wastewater; AIoT; Digital twin; GenAI; Autonomic management; Circular economy.},
        month = {May},
        }