| Summary: | 碩士 === 國立嘉義大學 === 生物機電工程學系研究所 === 94 === Traditional grading methods to judge the internal quality of pineapple by farmers’ experience which accuracy is unstable due to the different farmer and the labor cost is higher. The purpose of this study is to design and develop a mechatronic system which can automatically inspect inner quality of pineapple and grade pineapple’s weight. This study used LabVIEW software to design a monitor program which can acquire the strike signal and weight data to evaluate inner quality (solid pulp sound pineapples and drum sound pineapples). This system is composed of inspecting machine, connecting machine, grading machine, and human-machine interface control panel. This system has two functions: 1) inspecting part can inspect inner quality of pineapple; 2) grading part can grade different weight of pineapple. The impact signal transmitted to a computer by an accelerometer through a data acquisition card. Then the inner quality of pineapple is evaluated through main peak frequency which is analyzed from time domain and frequency domain.
The range of main peak frequency was set from 170 to 450 Hz on the frequency domain in the program to improve the influence of environmental noise. From the experimental analysis, the main peak frequency (f) and weight (m) of pineapples were assembled as evaluating combination (fm). Then 390 (Hz-kg) was the threshold value to judge the solid pulp sound pineapples and drum sound pineapples. Solid pulp sound pineapples were judged above the threshold value and drum sound pineapples were judged under the threshold value. The judgment accuracy of this machine was 75.83%. The accuracy of the dynamic weighting was 93%. The speed of weight grading was 70 pineapples per minute.
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