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Collection, decoding and recording of data from smart hydrometers for application in a water network

Iniotakis Georgios

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URI: http://purl.tuc.gr/dl/dias/ABCE4D05-0071-47AE-87EC-D7B307ECCC1F
Year 2024
Type of Item Diploma Work
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Bibliographic Citation Georgios Iniotakis, "Collection, decoding and recording of data from smart hydrometers for application in a water network", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2024 https://doi.org/10.26233/heallink.tuc.100410
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Summary

The advent of smart metering technologies has revolutionized water consumption monitoring, enabling more precise and real-time data collection. This thesis explores the implementation of a private LoRaWAN network to manage and monitor sensor data, with a focus on handling an additional encryption layer in data transmission. The primary research question addressed is:How can a secure and efficient private LoRaWAN network be deployed to manage sensor data with additional encryption layers, and how can this data be effectively visualized?To address this question, a comprehensive methodology was employed, which included setting up a LoRaWAN network server using ChirpStack, deploying sensors with additional encryption, and designing a secure system to handle data decryption and storage. A Flask application was developed to receive and decrypt sensor data, store it in InfluxDB, and visualize it using Grafana.The data decryption was managed by implementing a custom AES decryption algorithm that utilized specific device keys and initialization vectors.The results demonstrated that the implemented system could successfully decrypt, store, and visualize sensor data in real-time underscoring the potential for advanced metering infrastructure to contribute to more efficient and sustainable water resource management.

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