Name: Toxic gas Detection and Efficient Emergency Warning System in Manhole: Emergency Warning System (en Inglés)
SKU: 62457777
Price: 203057.00 COP
Availability: InStock
Author: T Gomathi; A Aranganathan; L Megalan Leo
ISBN: 9786207649730

portada Toxic gas Detection and Efficient Emergency Warning System in Manhole: Emergency Warning System (en Inglés)

Toxic gas Detection and Efficient Emergency Warning System in Manhole: Emergency Warning System (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

T Gomathi; A Aranganathan; L Megalan Leo

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9786207649730

Toxic gas Detection and Efficient Emergency Warning System in Manhole: Emergency Warning System (en Inglés)

T Gomathi; A Aranganathan; L Megalan Leo (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Toxic gas Detection and Efficient Emergency Warning System in Manhole: Emergency Warning System (en Inglés)"

Several injuries happen daily due to poorly covered manholes or even open manholes. These injuries are often entirely ignored or written off as a random occurrence. However, research has showed that with certain improvements in design such as the one which is developed in this research study; public safety and security can be improved by making manholes a lot safer. In the PMs Mandate of "Swachh Bharat", manholes play an important part and the proposed model will make this important feature more secure for the citizens.The experimental outcomes show that the framework works steadily and information transmission is solid, which is useful to acknowledge insightful the board of a savvy city and make an amicable and safe shrewd city climate. Municipalities can reduce the risk of expensive repairs, service interruptions, and safety hazards by routinely monitoring the state of infrastructure and identifying possible issues before they worsen. Instead of reacting to situations reactively, maintenance personnel can now prioritize interventions based on data-driven assessments thanks to IoT sensors, which offer real-time insights into the health of manhole assets.