Revolutionizing Vertical Transport: A Comprehensive Study on the Evolution and Optimization of Elevators

Dr Heena Khanna , Jasmeet Kaur , Kiran Pilania , Saksham Jamwal , Anjali Kamboj

Elevator, Internet of Things, Cost Efficiency, Smart Elevator Control Systems, Elevator Control Technologies, Energy Efficiency, User Experience, Machine Learning, Artificial Intelligence.

Elevator system plays a crucial role in modern high-rise buildings, facilitating efficient vertical transportation for occupants. However, traditional elevator control systems often suffer from inefficiencies in energy consumption and user experience. With growing concerns about sustainability and user satisfaction, there is a need for smart elevator control strategies that can optimize energy usage while enhancing service quality. The review critically evaluates different proposed smart elevator control systems, highlighting their strengths, limitations, and potential applications. This review paper categorizes elevators on the basis of IOT, Monitoring systems, Safety of elevators, Contactless Elevators, Energy-efficient elevators, and elevators that work on priority-based mechanisms. Relevant research papers in this domain are analyzed and compared. The review concludes by discussing potential opportunities for further research and commercialization prospects.

Published Paper   E-Certificate

"Revolutionizing Vertical Transport: A Comprehensive Study on the Evolution and Optimization of Elevators", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 7, page no.327 - 344, July-2024, Available :https://ijsdr.org/papers/IJSDR2407036.pdf

Volume 9 Issue 7, July-2024

Pages : 327 - 344

Paper Reg. ID: IJSDR_211982

Published Paper Id: IJSDR2407036

Downloads: 000347131

Research Area: Science & Technology

Country: Ludhiana, Punjab, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2407036

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2407036

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition