IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic
In order to ensure that aquatic organisms have a healthy and prosperous environment, this abstract introduces a water quality system that was especially created for aquariums. The system uses several sensors to continuously track important factors like temperature, pH level, and water level. Real-ti...
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| Формат: | Undergraduates Project Papers |
| Язык: | English |
| Опубликовано: |
2023
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| Предметы: | |
| Online-ссылка: | http://umpir.ump.edu.my/id/eprint/40706/1/CA20027.pdf |
| _version_ | 1825815543344529408 |
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| author | Safawati, Annuar |
| author_facet | Safawati, Annuar |
| author_sort | Safawati, Annuar |
| collection | UMP |
| description | In order to ensure that aquatic organisms have a healthy and prosperous environment, this abstract introduces a water quality system that was especially created for aquariums. The system uses several sensors to continuously track important factors like temperature, pH level, and water level. Real-time data from these sensors is processed and analysed using a fuzzy logic-based methodology. The fuzzy logic system evaluates the water quality conditions and decides on the proper course of action to maintain ideal conditions inside the aquarium using membership functions and rules. The technology automatically controls crucial elements including filtration, and water replacement, reducing stress on aquatic life, and streamlining aquarium maintenance. To demonstrate the system's capacity to continually preserve ideal water quality standards, advance the welfare of aquatic species, and improve aquarium environment management, experimental studies are carried out to confirm its efficacy. Overall, this aquarium water quality system provides a thorough way to keep track of and regulate key variables, maintaining a stable and favourable environment for aquatic life. The system offers an intelligent and automated method for maintaining ideal water quality conditions, eventually improving the health and vitality of the aquarium environment. It does this by utilising fuzzy logic principles. |
| first_indexed | 2024-04-09T03:52:10Z |
| format | Undergraduates Project Papers |
| id | UMPir40706 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-04-09T03:52:10Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | UMPir407062024-03-18T07:53:47Z http://umpir.ump.edu.my/id/eprint/40706/ IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic Safawati, Annuar QA75 Electronic computers. Computer science In order to ensure that aquatic organisms have a healthy and prosperous environment, this abstract introduces a water quality system that was especially created for aquariums. The system uses several sensors to continuously track important factors like temperature, pH level, and water level. Real-time data from these sensors is processed and analysed using a fuzzy logic-based methodology. The fuzzy logic system evaluates the water quality conditions and decides on the proper course of action to maintain ideal conditions inside the aquarium using membership functions and rules. The technology automatically controls crucial elements including filtration, and water replacement, reducing stress on aquatic life, and streamlining aquarium maintenance. To demonstrate the system's capacity to continually preserve ideal water quality standards, advance the welfare of aquatic species, and improve aquarium environment management, experimental studies are carried out to confirm its efficacy. Overall, this aquarium water quality system provides a thorough way to keep track of and regulate key variables, maintaining a stable and favourable environment for aquatic life. The system offers an intelligent and automated method for maintaining ideal water quality conditions, eventually improving the health and vitality of the aquarium environment. It does this by utilising fuzzy logic principles. 2023-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40706/1/CA20027.pdf Safawati, Annuar (2023) IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah. |
| spellingShingle | QA75 Electronic computers. Computer science Safawati, Annuar IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic |
| title | IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic |
| title_full | IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic |
| title_fullStr | IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic |
| title_full_unstemmed | IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic |
| title_short | IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic |
| title_sort | iot based water quality control for small scale aquarium with fuzzy logic |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/40706/1/CA20027.pdf |
| work_keys_str_mv | AT safawatiannuar iotbasedwaterqualitycontrolforsmallscaleaquariumwithfuzzylogic |