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標題: 近紅外線連續式線上水果檢測系統之開發研究
Development of a Continuous Online Detecting System for Fruits Using Near Infrared Technology
作者: 蔡兆胤
Tsai, Chao-Yin
關鍵字: NIR;近紅外線;fruits;online detecting;monochromator;CCD detector;水果;線上檢測;單光儀;CCD檢波器
出版社: 生物產業機電工程學系所
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本研究以OSLO光學設計模擬軟體來設計包含照明光源及檢測單元之光學系統。研發之白板校正機構可自動、快速及穩定地於線上進行白板校正。使用汞氬燈進行系統對焦調整、測量系統光學解析度及校正系統波長,大幅提高設備之光學貫通量,縮短檢波器之曝光時間為最低值8 ms,使系統測量速度達1.3 sec/sample。
以研發之雛型機動態檢測印度棗完整果與削皮果,及蓮霧完整果等三種水果之糖度,用數次測量之平均光譜消除測量之隨機誤差,使隨機雜訊不致超過可用信號,所建立預測糖度之模式其判定係數R2值都高於0.82,標準校正誤差SEC值都低於0.707,具有相當好的預測效能。在預測誤差為±1 ° Brix之條件下,除印度棗完整果外,其餘之兩種水果的預測正確率都高達90%以上。

NIR spectroscopy has the advantages of precision, rapid-response, low cost, chemical-free, pollution-free, non-invasive and non-destructive. Hence, it has been widely adopted in agriculture and the food industry. The present consumers are more concerned about the internal quality of fruit than the old comsumers. And the internal quality can be precisely determined with the NIR spectroscopy technology. The essential elements of establishing a NIR online detecting system have been studied solidly in this research. The assembled prototype system consists of conveyor, chamber, light source, lens, monochromator, detector, white ceramic board, automation control elements and computer. The whole system includes the following four units which are the light source, the detecting, the reference calibration and the controlling.
OSLO software has adopted in this research to design the optical system including the light source and detecting units. The online reference calibration can be carried out automatically, fast and stably with the developed unit. Focusing, measuring the optical resolution, and calibrating the wavelength of the system are done with an Hg-Ar calibration lamp. Through the developed focusing work, the optical throughput has been significantly increased, so the exposure time can be reduced to the lowest limit of 8ms. And the detecting speed of system is further reduced to 1.3s per fruit.
The developed prototype system is used to measure the sugar contents of intact and peeled jujubes, and intact bell fruit online. The system will take the average of several spectroscopy measurements to eliminate the random noise of measurement to prevent the level of noise to be higher than the useful signal level. The developed model, which can be used to predict the sugar content, shows good prediction capability. The value of R2 is higher than 0.82 and the value of SEC is lower than 0.707, which can be used to demonstrate the system performance. The prediction percentage is over 90% and the prediction deviation is 1 Brix error in most cases except the intact jujube.
其他識別: U0005-2408200703520800
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