Detail publikace
Autonomous Smart Sensors for Efficient Urban Waste Management
JANŮŠ, T. ŠTEFFAN, P.
Originální název
Autonomous Smart Sensors for Efficient Urban Waste Management
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper introduces a universal sensor for waste management that enhances operational efficiency and safety across urban environments. The sensor is equipped with ultrasonic and specialized sensors for detecting leaks and smoke, ensuring robust monitoring capabilities. It features adaptable communication options like LoRa, Cat-M1, NB-IoT, and 5G to optimize energy efficiency and real-time data transmission. Significantly, the sensor's configurations are autonomously adjusted based on data analyzed in a centralized data center using AI and machine learning models. This allows for dynamic responses to environmental changes, improving the system's effectiveness and adaptability. Integrating a solar-powered energy system with intelligent power management further supports sustainable operations. The sensor system is designed for easy integration into existing infrastructures, offering a scalable solution that advances the sustainability and safety of urban waste management through smart technology and data-driven insights.
Klíčová slova
5G; Autonomous Systems; Hybrid Communication; LV-MaxSonar-EZ4 MB1040; Real-Time AI; Smart Sensors; Urban Waste Management
Autoři
JANŮŠ, T.; ŠTEFFAN, P.
Vydáno
31. 7. 2024
Nakladatel
Institute of Electrical and Electronics Engineers Inc.
ISBN
979-8-3503-6559-7
Kniha
2024 47th International Conference on Telecommunications and Signal Processing (TSP)
Strany od
294
Strany do
297
Strany počet
4
URL
BibTex
@inproceedings{BUT190059,
author="Tomáš {Janůš} and Pavel {Šteffan}",
title="Autonomous Smart Sensors for Efficient Urban Waste Management",
booktitle="2024 47th International Conference on Telecommunications and Signal Processing (TSP)",
year="2024",
pages="294--297",
publisher="Institute of Electrical and Electronics Engineers Inc.",
doi="10.1109/TSP63128.2024.10605962",
isbn="979-8-3503-6559-7",
url="https://ieeexplore.ieee.org/document/10605962"
}