An Overview on the Manhole Edge Computing
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2021, Vol 9, Issue 6
Abstract
One of the most important basic platforms in a smart city for preventing recurrent manhole cover accidents is an intelligent manhole cover management system. Manhole cover removal, loss, and injury endanger people's safety, which is contrary to the aim of smart cities. This article describes an intelligent manhole cover management system (IMCS) for smart cities that is based on edge computing. Each manhole cover has its own radio frequency identification tag with tilt and vibration sensors, and communication is done through a narrow-band Internet of things. Meanwhile, based on the collected data, edge computing servers communicate with appropriate management employees through mobile devices. The effectiveness of the proposed IMCS was shown in a demonstration application in Hangzhou's Xiasha District. It halved the repair time, possibly improving the safety of both humans and manhole covers.
Authors and Affiliations
Swapnil Raj, Mrinal Paliwal
Keywords
Related Articles
- EP ID EP747104
- DOI 10.55524/ijircst.2021.9.6.26
- Views 29
- Downloads 0
Geotechnical Reuse of Shredded Scrap Tires to Reinforce the Karewa Soils of Kashmir
Wasted tyres have become a growing disposal problem throughout the world which is caused by increasing the number of vehicles on the roads. On the other hand, Karewa soils exhibit generally undesirable properties. They t...
Deep Learning-based Classification of Materials into Biodegradable and Non-Biodegradable
The collection of real-time data from people, their cars, public transit, buildings, and other urban infrastructures like the energy grid and waste management systems are at the heart of the smart city concept. The insig...
Evaluating Median Accuracy of ResNet50 and VGG16 Models in COVID-19 Detection
The increasing number of Covid-19 cases and the lack of reliable, quick-to-use testing tools herald a new era in X-ray analysis employing deep learning methods. The Covid-19 virus's emergence poses a threat to human exis...
Chip Floorplanning Optimization Using Deep Reinforcement Learning
This paper presents a new method for chip floorplanning optimization using deep learning (DRL) combined with graph neural networks (GNNs). The plan addresses the challenges of traditional floor plans by applying AI to sp...
Methods for Performance Evaluation of the Small Enterprises in Bulgaria
The Evaluation of the work performance of the personnel is one of the key activities in human resources management. In this article the methods of evaluation of performance that are applied in the small enterprises in Bu...