Improving Aquaculture Water Quality Using Dual-Input Fuzzy Logic Control for Ammonia Nitrogen Management
In this paper, a closed-loop control system using dual-input fuzzy logic theory is proposed to improve the water quality of aquaculture. The new closed-loop control system is implemented on a Raspberry-Pi-embedded platform using Python programming. The proposed closed-loop control system integrates...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/11/6/1109 |
| _version_ | 1797594008723128320 |
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| author | Hung-Chih Li Ker-Wei Yu Chang-Hua Lien Chitsan Lin Cheng-Ruei Yu Sundarapandian Vaidyanathan |
| author_facet | Hung-Chih Li Ker-Wei Yu Chang-Hua Lien Chitsan Lin Cheng-Ruei Yu Sundarapandian Vaidyanathan |
| author_sort | Hung-Chih Li |
| collection | DOAJ |
| description | In this paper, a closed-loop control system using dual-input fuzzy logic theory is proposed to improve the water quality of aquaculture. The new closed-loop control system is implemented on a Raspberry-Pi-embedded platform using Python programming. The proposed closed-loop control system integrates an RS485 function, a database transfer module, a simulating variable group function, and a trigger function import to achieve savings in human resources, power, and water consumption. The proposed closed-loop control system is equipped with an ammonia nitrogen sensor and solenoid valves for the water exchange. The experimental results demonstrate that the intelligent controller can rapidly eliminate ammonia nitrogen within the range of 2.0 ppm and maintain robust control in response to changes in ammonia nitrogen excretion from a school of fish. The experimental results provide insights into the relationship between tank capacity, water exchange solenoid valves, and ammonia nitrogen degradation time, which can be used to optimize aquaculture density and improve industrialization. The experimental results demonstrate that the savings for power and water can be achieved above 95%. |
| first_indexed | 2024-03-11T02:17:32Z |
| format | Article |
| id | doaj.art-90219351d752426e8c6496196de38c36 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-11T02:17:32Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-90219351d752426e8c6496196de38c362023-11-18T11:06:01ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-05-01116110910.3390/jmse11061109Improving Aquaculture Water Quality Using Dual-Input Fuzzy Logic Control for Ammonia Nitrogen ManagementHung-Chih Li0Ker-Wei Yu1Chang-Hua Lien2Chitsan Lin3Cheng-Ruei Yu4Sundarapandian Vaidyanathan5Ph.D. Program of Maritime Science and Technology, National Kaohsiung University of Science and Technology, Kaohsiung 811, TaiwanDepartment of Marine Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811, TaiwanDepartment of Marine Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811, TaiwanDepartment of Marine Environmental Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811, TaiwanPh.D. Program of Maritime Science and Technology, National Kaohsiung University of Science and Technology, Kaohsiung 811, TaiwanResearch and Development Centre, Vel Tech University, Chennai 600062, IndiaIn this paper, a closed-loop control system using dual-input fuzzy logic theory is proposed to improve the water quality of aquaculture. The new closed-loop control system is implemented on a Raspberry-Pi-embedded platform using Python programming. The proposed closed-loop control system integrates an RS485 function, a database transfer module, a simulating variable group function, and a trigger function import to achieve savings in human resources, power, and water consumption. The proposed closed-loop control system is equipped with an ammonia nitrogen sensor and solenoid valves for the water exchange. The experimental results demonstrate that the intelligent controller can rapidly eliminate ammonia nitrogen within the range of 2.0 ppm and maintain robust control in response to changes in ammonia nitrogen excretion from a school of fish. The experimental results provide insights into the relationship between tank capacity, water exchange solenoid valves, and ammonia nitrogen degradation time, which can be used to optimize aquaculture density and improve industrialization. The experimental results demonstrate that the savings for power and water can be achieved above 95%.https://www.mdpi.com/2077-1312/11/6/1109sensorfuzzy logic controllerammoniaraspberry piaquaculture density |
| spellingShingle | Hung-Chih Li Ker-Wei Yu Chang-Hua Lien Chitsan Lin Cheng-Ruei Yu Sundarapandian Vaidyanathan Improving Aquaculture Water Quality Using Dual-Input Fuzzy Logic Control for Ammonia Nitrogen Management Journal of Marine Science and Engineering sensor fuzzy logic controller ammonia raspberry pi aquaculture density |
| title | Improving Aquaculture Water Quality Using Dual-Input Fuzzy Logic Control for Ammonia Nitrogen Management |
| title_full | Improving Aquaculture Water Quality Using Dual-Input Fuzzy Logic Control for Ammonia Nitrogen Management |
| title_fullStr | Improving Aquaculture Water Quality Using Dual-Input Fuzzy Logic Control for Ammonia Nitrogen Management |
| title_full_unstemmed | Improving Aquaculture Water Quality Using Dual-Input Fuzzy Logic Control for Ammonia Nitrogen Management |
| title_short | Improving Aquaculture Water Quality Using Dual-Input Fuzzy Logic Control for Ammonia Nitrogen Management |
| title_sort | improving aquaculture water quality using dual input fuzzy logic control for ammonia nitrogen management |
| topic | sensor fuzzy logic controller ammonia raspberry pi aquaculture density |
| url | https://www.mdpi.com/2077-1312/11/6/1109 |
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