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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 117

Article Submitted : 21318

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Total Authors : 22301

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Paper Title: INTEGRATION OF IOT-BASED TRACKING OF BMW GENERATION LINKED TO REAL-TIME BED OCCUPANCY IN HEALTH CARE FACILITIES
Authors Name: Sukalpaa Chaki , Tushar Bansal
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IJRTI_209259
Published Paper Id: IJRTI2601083
Published In: Volume 11 Issue 1, January-2026
DOI:
Abstract: 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.
Keywords: Biomedical waste,InternetofThings(IOT),Bed occupancy,Forecasting
Cite Article: "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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ISSN: 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
Publication Details: Published Paper ID: IJRTI2601083
Registration ID:209259
Published In: Volume 11 Issue 1, January-2026
DOI (Digital Object Identifier):
Page No: a576-a582
Country: Haryana, Haryana, India
Research Area: Environmental Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2601083
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2601083
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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