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Biomedical waste (BMW) generation in the Delhi NCR region increased in complexity during COVID-19 due to shifts in patient load, infection-control practices, and disposable medical product use. Delhi’s reported BMW quantum is ~13,641 kg/day (Delhi Pollution Control Committee estimate), underscoring the need for tighter, data-driven monitoring and logistics. However, most hospitals still rely on delayed, manual recordkeeping, limiting the ability to match BMW loads with real-time bed occupancy and respond operationally (collection frequency, staffing, storage time, and CBWTF dispatch). The proposed system integrates (i) IoT smart-bin nodes (load-cell weight sensing, fill-level, timestamping, and QR/RFID tagging per BMW category) with (ii) the hospital information system/bed management module to ingest real-time occupancy by ward (ICU/isolation/general). Data are streamed to a cloud dashboard for automated alerts (overflow, prolonged storage) and analytics (kg/occupied-bed/day). For evidence benchmarking and model calibration, the study uses published Delhi hospital waste datasets covering 11 representative hospitals across five districts, capturing pre-COVID and first-wave COVID periods. To design and evaluate an IoT-enabled BMW tracking framework that links ward-level waste generation to real-time bed occupancy for dynamic forecasting and improved BMW handling efficiency in Delhi NCR hospitals.
"INTEGRATION OF IOT-BASED TRACKING OF BMW GENERATION LINKED TO REAL-TIME BED OCCUPANCY IN HEALTH CARE FACILITIES", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a576-a582, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601083.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator