Вимірювальна техніка та метрологія. – 2023. – Випуск 84, №3

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Measuring Equipment and Metrology : scientific journal. – Lviv : Lviv Politechnic Publishing House, 2023. – Volume 84, № 3. – 45 р.

Вимірювальна техніка та метрологія

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Start date: 2023Subject: search.filters.subject.Internet of Things

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    Embedded IoT platform for remote traffic control in smart city IoT infrastructure
    (Видавництво Львівської політехніки, 2023-02-28) Nikolskiy, Serhiy; Klymenko, Iryna; The National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
    A justified hybrid multilevel approach to IoT infrastructure implementation is set to facilitate the achievement of a scalable IoT (Internet of Things) infrastructure, incorporating integration into cloud technologies and services. The localization of hardware-software traffic management means at the lower level of the IoT infrastructure, close to data collection devices, ensures the generation of control influences in real-time, and relieves communication channels at the higher levels of the IoT infrastructure architecture. A technology for generating control influences for remote traffic management is proposed, which is based on the developed AT command system for deploying a web server and generating web pages using the capabilities of the embedded IoT platform on modern microcontrollers. The proposed technology allows for the formation of control influences in real-time, in an easily comprehensible textual format, using a web interface in the local domain of the IoT infrastructure. It also enables the visualization of information on remote displays and information boards, as well as on displays integrated into automotive equipment. The proposed technology can be used to inform road traffic participants about critical situations and can be embedded in smart traffic lights within remote traffic management systems or used to implement virtual traffic lights.
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    Measurement and analysis of agricultural field state using cloud-based data processing pipeline Preventing potential robbery crimes using deep learning algorithm of data processing
    (Видавництво Львівської політехніки, 2023-02-28) Prodan, Roman; Shutka, Denys; Tataryn, Vasyl; Lviv Polytechnic National University
    The increasing demand for precision agriculture has prompted the integration of advanced technologies to optimize agricultural practices. This article presents an approach to agricultural field data processing using a cloud-based data pipeline. The system leverages data from various sensors deployed in the fields to collect real-time information on key parameters such as soil moisture, temperature, humidity, etc. The collected data is transmitted to the cloud where it undergoes a series of data processing and analysis stages. The article demonstrates the effectiveness of the cloud-based data pipeline in enhancing agricultural resilience. It facilitates prompt decision-making by farmers and stakeholders based on real-time data analysis. Additionally, the system offers a valuable tool for monitoring and optimizing irrigation strategies, resource allocation, and crop management practices. This research highlights the potential of cloud-based data pipelines in revolutionizing precision agriculture. The ability to measure and analyze agricultural field data accurately and efficiently opens new avenues for sustainable farming practices and mitigating risks related to wildfires and droughts.