AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION
Access to fresh water has become a headache for many nations around the world today due to water scarcity. Since this aspect is increasing, this paper introduces a system to estimate the households’ water needs in a day taking into consideration, the size of the family, zone, temperature, season, w...
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| Format: | Article |
| Language: | English |
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Lublin University of Technology
2024-12-01
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| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
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| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/6106 |
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| author | Arman Mohammad Nakib |
| author_facet | Arman Mohammad Nakib |
| author_sort | Arman Mohammad Nakib |
| collection | DOAJ |
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Access to fresh water has become a headache for many nations around the world today due to water scarcity. Since this aspect is increasing, this paper introduces a system to estimate the households’ water needs in a day taking into consideration, the size of the family, zone, temperature, season, working status, location, and religion. By applying machine learning, the system determines the balance of water distribution between the families by these parameters. The predicted values determine the water requirements for each household hence the distribution of water in the households on a particular day. This includes the use of an Arduino microcontroller, water flow meter, and solenoid valves that make the water supply system to be an automatic system. As a result of this, the system helps to control the wastage of water and also ensures that the amount of water required in each home is assessed accurately.
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| format | Article |
| id | doaj-art-81764a8d45bf4a0c82b5a986dab5f5d6 |
| institution | DOAJ |
| issn | 2083-0157 2391-6761 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| series | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| spelling | doaj-art-81764a8d45bf4a0c82b5a986dab5f5d62025-08-20T02:39:38ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska2083-01572391-67612024-12-0114410.35784/iapgos.6106AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTIONArman Mohammad Nakib0https://orcid.org/0009-0006-4986-8806Nanjing University of Information Science & Technology, Artificial Intelligence Access to fresh water has become a headache for many nations around the world today due to water scarcity. Since this aspect is increasing, this paper introduces a system to estimate the households’ water needs in a day taking into consideration, the size of the family, zone, temperature, season, working status, location, and religion. By applying machine learning, the system determines the balance of water distribution between the families by these parameters. The predicted values determine the water requirements for each household hence the distribution of water in the households on a particular day. This includes the use of an Arduino microcontroller, water flow meter, and solenoid valves that make the water supply system to be an automatic system. As a result of this, the system helps to control the wastage of water and also ensures that the amount of water required in each home is assessed accurately. https://ph.pollub.pl/index.php/iapgos/article/view/6106factors influencing water consumptionmachine learning modelwater distribution controlwater wastage control |
| spellingShingle | Arman Mohammad Nakib AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska factors influencing water consumption machine learning model water distribution control water wastage control |
| title | AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION |
| title_full | AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION |
| title_fullStr | AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION |
| title_full_unstemmed | AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION |
| title_short | AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION |
| title_sort | automated water management system with ai based de mand prediction |
| topic | factors influencing water consumption machine learning model water distribution control water wastage control |
| url | https://ph.pollub.pl/index.php/iapgos/article/view/6106 |
| work_keys_str_mv | AT armanmohammadnakib automatedwatermanagementsystemwithaibaseddemandprediction |