Abstract
Due to the importance of the treatment and care of water, there are projects around the world that help to have a better control over the quality of the water that help as a basis for proper treatment. This system is proposed after a literature review with the intention of obtaining data from different water characteristics such as: pH, conductivity, turbulence, temperature, and dissolved oxygen, it is intended to obtain the data for later consultation through a mobile application or PC. This system consists of three stages: the first one consists of data collection through sensors to a microprocessor; the second part involves a LoRa wireless network for data transmission; and the third one in which the data is presented in a mobile application.
Original language | English |
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Title of host publication | Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023 |
Editors | Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 661-668 |
Number of pages | 8 |
ISBN (Print) | 9789819930425 |
DOIs | |
State | Published - 2024 |
Event | 8th International Congress on Information and Communication Technology, ICICT 2023 - London, United Kingdom Duration: 20 Feb 2023 → 23 Feb 2023 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 695 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 8th International Congress on Information and Communication Technology, ICICT 2023 |
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Country/Territory | United Kingdom |
City | London |
Period | 20/02/23 → 23/02/23 |
Bibliographical note
Publisher Copyright:© 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Keywords
- Embedded systems
- Learning
- Water treatment