The lack of relevance analysis about the cold chain environment information and aquatic product quality information was existed in the cold chain information management of aquatic product. In order to solve such a problem, the aquatic product cold chain is to be chosen as the research object in this research. A method which used the event and estate aggregate to describe the aquatic product cold chain information is to be presented. And the decision support model of aquatic product cold chain safety is to be built in this paper. In this research, the collection technology of time-temperature sensor, data mining and fusion technology and rough sets algorithm are to be used.In this research, the influence about temperature environment of aquatic product cold chain on the aquatic product quality was analyzed theoretically, and the decay mechanism of aquatic product quality is to be explored. The cold chain environment of aquatic product was divided into the constant temperature, continuous fluctuation and non-continuous fluctuation temperature based on the fluctuation characteristic of environment temperature, and the evaluation models of aquatic product quality about different temperature fluctuation conditions are to be created. The temperature environment medium of cold chain stage is to be classified based on the sufficient analysis about cold chain temperature environment characteristic of aquatic product, and the time-temperature sensor is to be chosen by different environment mediums. The time-temperature data collection, transmission and storage framework for cold chain medium environment of aquatic product is to be built. Positioning design of time-temperature sensor in the refrigerator car is to be researched, and temperature field analysis model is to be built based on the cold chain transportation characteristics of aquatic product.
为了解决目前水产品冷链信息管理中缺乏对冷链环境信息与水产品品质信息的关联性综合分析的问题,本研究以水产品冷链为研究对象,在充分分析冷链的温度因素对水产品品质影响的基础上,利用时间-温度传感器采集技术、数据挖掘与融合技术、粗糙集算法等方法,建立事件与状态集合对水产品冷链信息进行描述,构建水产品冷链安全的决策支持模型。从理论上分析水产品冷链的温度环境对水产品品质的影响,探讨水产品品质的衰变机理。根据环境温度的波动特点,将水产品冷链环境分为恒温、连续波动、不连续波动的温度环境,并分别建立不同温度波动条件下的水产品品质评价模型。在充分分析水产品冷链温度环境特点的基础上,对冷链阶段的温度环境介质进行分类,并根据不同的环境介质,对时间-温度传感器进行选择。
本项目以水产品冷链为研究对象,通过分析冷链各阶段环境对水产品品质的影响,构建时间-温度数据依赖的三级水产品品质衰变模型。通过对水产品品质衰败的关键因素提取,形成以温度为主体信息,综合时间、地点、操作与关键点识别的多维信息,并结合冷链流通节点、阶段信息,将冷链环境与水产品品质衰变速率进行综合关联性分析,构成水产品冷链信息流动的层次-网状立体信息传递模型。. 在信息构建方法方面:形成了冷链环境、操作规范与水产品品质的信息关联方法,构建了基于多维信息的层次-网状模型形式化表达模型,实现了水产品全程流动的冷链安全分析与决策支持管理,发表高水平论文6篇。在信息采集技术方面:利用温度传感器、WSN网络,运用数据挖掘与融合算法、图像处理技术、温度场模型对水产品冷链的多介质环境进行信息采集与传输,建立可视化水产品冷链安全实时监测系统,获得10项计算机软件著作权。在信息决策支持方面:根据水产品冷链信息的表达方法,构建了基于水产品冷链信息的操作规范决策支持模型与品质安全评价模型,实现了对水产品冷链流通全程的安全监控与决策管理。本项目利用调研与开放性实验,对水产品冷链环境信息的处理进行了技术改进,形成了以水产品冷链完备信息为基础,运用旋转送风、精准降温与多温区自动调节的水产品冷链安全配送与仓储方法,获得6项专利技术用于保障水产品冷链安全,为后续研究奠定了良好的基础。. 经过项目组3年的努力,项目完成了预期目标:发表论文6篇,其中SCI论文3篇,中文核心期刊论文3篇;出版高等学校规划教材1部;获得计算机软件著作权10项;获得实用新型专利6项,受理国家发明专利3项。
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数据更新时间:2023-05-31
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