Abstract：
Sterilization of Northern shrimp (Pandalus borealis) is a key tool to ensure their freshness for post-production transportation. However, in the face of the specific problem of quality deterioration caused by the increase of storage environment temperature due to unexpected circumstances or the prolongation of temporary storage time, it is still a technical challenge to realize intelligent decision-making and higher sterilization efficiency. In this paper, we propose an intelligent UV-Ozone sterilization system suitable for cold chain transportation of Northern shrimp (Pandalus borealis). Using hierarchical analysis, equipartition method and the prediction method of generalized linear model, combined with the technology of intelligent control and remote control, we realized the automatic control of the system\'s UV irradiance from 324 ∼ 1620 J/m2, and ozone concentration from21.4 ∼ 107 mg/cm3 in a graded manner. The accuracy of the predicted structure was verified using a combination of direct measurement and simulation. In addition, the key model of the system, the intensity level decision model, was tested, and the test results showed that the decision model was able to accurately make decisions during the sterilization of Northern shrimp (Pandalus borealis), and the system was able to achieve a sterilization effect of 1-3 orders of magnitude. This reduces quality loss due to unexpected conditions, facilitates real-time monitoring of transported samples by staff, extends the shelf life of the samples, and improves the accuracy of sterilization, increasing the economic value of Northern shrimp (Pandalus borealis).
摘要：
北方虾（Pandalusborealis）的灭菌是确保其生产后运输新鲜度的关键工具。然而,面对由于意外情况或临时储存时间延长而导致储存环境温度升高而导致的质量劣化的具体问题,实现智能决策和更高的灭菌效率仍然是一个技术挑战。在本文中,我们提出了一种适用于北方虾（Pandalusborealis）冷链运输的智能紫外线臭氧杀菌系统。采用层次分析法,等分法和广义线性模型的预测方法,结合智能控制和远程控制技术，我们实现了系统的紫外线辐照度从324〜1620J/m2的自动控制，臭氧浓度从21.4〜107mg/cm3的分级控制。使用直接测量和模拟相结合的方法验证了预测结构的准确性。此外,系统的关键模型，强度水平决策模型，经过测试,试验结果表明,该决策模型能够在北方虾(Pandalusborealis)灭菌过程中准确做出决策,系统能够达到1-3个数量级的杀菌效果。这减少了由于意外条件造成的质量损失，便于工作人员对运输样品进行实时监测，延长样品的保质期，并提高了灭菌的准确性，增加北方虾(Pandalusborealis)的经济价值。
