Full text
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| Author(s): |
Marcos Aparecido Chaves Ferreira
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Paulo. |
| Institution: | Universidade de São Paulo (USP). Escola Politécnica (EP/BC) |
| Defense date: | 2002-08-08 |
| Examining board members: |
Antonio Carlos Seabra;
Antonio Mauro Saraiva;
João Donato Scorvo Filho
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| Advisor: | Antonio Carlos Seabra |
| Abstract | |
This work is concerned with the development of an expert system for real-time data acquisition and analysis of water quality parameters (pH, dissolved oxygen, temperature and oxi-reduction potential) specially devoted to aquacultural applications. This expert system comprises a set of four sensor probes (pH, dissolved oxygen, temperature and oxi-reduction potential), an electronic circuit for conditioning the probes\' signals and two software modules: one dedicated to acquisition and conversion of the electrical signal values coming from the probes into their respective physical quantities (developed under LabVIEW® environment) and the other dedicated to analysis of these converted values and their trends, for proposing preventive/corrective actions to the fish farmer (developed under MATLAB® environment). The main attributes of this system are its low-cost, when compared to commercial solutions available, and its capability of proposing handling actions for liming, fertilization, aeration and water flow control in real-time (we could not find any commercial solution with this capability). Reduction in cost was possible through selection of low-cost sensor probes associated with simple cleaning procedures for them and calibration procedures residing in the acquisition/conversion software module. The expert software module responsible for data analysis uses fuzzy logic and the knowledge of the fish culture specialists at Agricultural Technical School at Monte Aprazível - SP for inferring the actions to be taken. The expert system was tested in the ponds of the mentioned School during six months, from which we concluded that it was able to detect critical conditions and propose preventive/corrective actions corroborated by the fish culture specialists that participated in the development of this work. (AU) | |