Building Smart Ecosystems Through IoT Cloud Solutions A Case Study at UBT Campus

Session

Computer Science and Communication Engineering

Description

This paper aims to create an intelligent and scalable IoT system leveraging various sensors that will be connected to Azure cloud services. The Libelium sensors for temperature, humidity, pressure, carbon monoxide, luminosity, ultrasound, and carbon dioxide, will capture critical environmental data. The sensors will securely transmit data to the Azure platform, where real-time monitoring, analysis, and optimization of environmental conditions will take place. This system is particularly suitable for applications in agriculture, smart cities, and various other domains. The project aims to implement a cloud-based integrated sensor system at UBT Campus, using Azure IoT Hub for data management and monitoring. The objectives include temperature sensors for climate monitoring, humidity sensors to gauge atmospheric moisture levels, and various other sensors integrated to automate repetitive processes, saving energy and resources. This system will ensure communication and data flow between the sensors and the cloud platform through appropriate protocols and APIs. The data will be displayed in a publicly available dashboard, allowing everyone to access real-time data remotely. This dashboard will provide actionable insights, enabling campus administrators and facilities managers to make informed decisions. The collected data will not only contribute to the well-being of students and staff but will also offer significant value for research in various areas. This project marks a major step forward as one of the first implementations of a cloud-based integrated sensor system at UBT Campus, with a strong focus on sustainability and scalability, establishing a resilient infrastructure for future growth and innovation.

Keywords:

Smart Ecosystems, Cloud Integration, Azure Cloud Services, Real-Time Data, Energy Efficiency, Integrated Sensor, Data Analytics, Libelium.

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-15-3

Location

UBT Kampus, Lipjan

Start Date

25-10-2024 9:00 AM

End Date

27-10-2024 6:00 PM

DOI

10.33107/ubt-ic.2024.392

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Oct 25th, 9:00 AM Oct 27th, 6:00 PM

Building Smart Ecosystems Through IoT Cloud Solutions A Case Study at UBT Campus

UBT Kampus, Lipjan

This paper aims to create an intelligent and scalable IoT system leveraging various sensors that will be connected to Azure cloud services. The Libelium sensors for temperature, humidity, pressure, carbon monoxide, luminosity, ultrasound, and carbon dioxide, will capture critical environmental data. The sensors will securely transmit data to the Azure platform, where real-time monitoring, analysis, and optimization of environmental conditions will take place. This system is particularly suitable for applications in agriculture, smart cities, and various other domains. The project aims to implement a cloud-based integrated sensor system at UBT Campus, using Azure IoT Hub for data management and monitoring. The objectives include temperature sensors for climate monitoring, humidity sensors to gauge atmospheric moisture levels, and various other sensors integrated to automate repetitive processes, saving energy and resources. This system will ensure communication and data flow between the sensors and the cloud platform through appropriate protocols and APIs. The data will be displayed in a publicly available dashboard, allowing everyone to access real-time data remotely. This dashboard will provide actionable insights, enabling campus administrators and facilities managers to make informed decisions. The collected data will not only contribute to the well-being of students and staff but will also offer significant value for research in various areas. This project marks a major step forward as one of the first implementations of a cloud-based integrated sensor system at UBT Campus, with a strong focus on sustainability and scalability, establishing a resilient infrastructure for future growth and innovation.