面向水產(chǎn)品追溯的運輸環(huán)境數(shù)據(jù)采集及壓縮方法研究
本文選題:水產(chǎn)品追溯 + 數(shù)據(jù)采集; 參考:《上海海洋大學》2017年碩士論文
【摘要】:隨著社會的不斷發(fā)展,人們的經(jīng)濟條件和生活水平不斷提高,越來越多的食品安全問題被曝光使得人們對其關注度不斷提高,然而這些食品安全事故嚴重威脅著人們的身體健康和精神健康。作為人們食物最重要的部分之一,水產(chǎn)品的安全已成為熱門話題。由于水產(chǎn)品的質(zhì)量問題可能發(fā)生在從養(yǎng)殖到消費者的任何環(huán)節(jié),因此需要使用政策制約和過程監(jiān)控來保證水產(chǎn)品安全和質(zhì)量。無線傳感器網(wǎng)絡(Wireless Sensor Network,WSN)通過融合無線通信和信息處理技術(shù)可以對網(wǎng)絡覆蓋中的各種環(huán)境監(jiān)測對象進行遠程實時監(jiān)測,對信息的收集以及之后的分析處理具有重要的科學意義和廣闊的應用前景。利用無線傳感器網(wǎng)絡,能夠更為方便地監(jiān)測和管理水產(chǎn)品運輸?shù)沫h(huán)境。監(jiān)測水產(chǎn)品從養(yǎng)殖到消費者手中這一系列漫長的過程,需要一套完整的、具備現(xiàn)代化水平的監(jiān)測系統(tǒng)。本文以無線傳感器網(wǎng)絡技術(shù)為基礎,針對水產(chǎn)品追溯過程中環(huán)境數(shù)據(jù)實時監(jiān)測的需求、以及監(jiān)測系統(tǒng)的功能需求,建立了能夠?qū)崟r、連續(xù)、自動監(jiān)測水產(chǎn)品運輸環(huán)境參數(shù)的監(jiān)測系統(tǒng)。在WSN中傳輸?shù)臄?shù)據(jù)可能存在相關和冗余。對于如何將網(wǎng)絡中傳輸?shù)臄?shù)據(jù)進行壓縮,減少傳輸能量消耗的問題,始終有著大批學者研究。本文根據(jù)數(shù)據(jù)之間的互相關關系,提出了一種基于互相關序列的可追溯感知數(shù)據(jù)壓縮算法。在網(wǎng)絡中的兩類節(jié)點(簇內(nèi)和簇首)執(zhí)行各自的壓縮:簇內(nèi)節(jié)點對多個屬性數(shù)據(jù)依據(jù)其重要性進行壓縮;簇首節(jié)點將簇內(nèi)節(jié)點傳來的數(shù)據(jù)進行解壓后,對解壓數(shù)據(jù)進行二次壓縮,從而在最大程度上減少通信能耗。簇首節(jié)點的壓縮算法會在某些情況下可能會導致壓縮過后數(shù)據(jù)失真度過大,本文針對該缺陷提出了一種改進的簇首節(jié)點數(shù)據(jù)壓縮方法,雖然在能耗節(jié)約上沒有改進前方法優(yōu)越,但保證了數(shù)據(jù)的真實性,便于對環(huán)境中出現(xiàn)的問題做出及時的反應。本文提出一種基于無線傳感器網(wǎng)絡與移動終端相結(jié)合的監(jiān)測系統(tǒng),該系統(tǒng)能夠?qū)λa(chǎn)品溯源過程中的運輸環(huán)境進行多參數(shù)實時監(jiān)測。它能有效解決其他運輸環(huán)境監(jiān)測系統(tǒng)中監(jiān)測參數(shù)少、節(jié)點分布不科學的問題。文章首先根據(jù)系統(tǒng)所要實現(xiàn)的功能對整體框架進行了搭建;然后針對系統(tǒng)中的軟硬件問題提出了解決方案,其中涉及各種通信機制融合和多種傳感器集成。通過實驗驗證了本系統(tǒng)監(jiān)測參數(shù)多、節(jié)點分布科學、精度高而且節(jié)能的特點,在水產(chǎn)品運輸過程的監(jiān)測中具有更好的實際應用價值。論文的研究成果為水產(chǎn)品追溯過程中的運輸環(huán)境數(shù)據(jù)采集提供了理論和實際應用依據(jù),解決了運輸環(huán)境監(jiān)測過程的中的許多問題,能夠較好地應用在水產(chǎn)品物流運輸過程中,產(chǎn)業(yè)化前景非常廣闊,具有潛在的經(jīng)濟效益。
[Abstract]:With the continuous development of society, people's economic conditions and living standards are constantly improving, and more and more food safety problems have been exposed to make people pay more attention to them. However, these food safety accidents are a serious threat to people's physical and mental health. As one of the most important parts of people's food, the safety of aquatic products has become a hot topic. Since the quality problems of aquatic products may occur in any link from aquaculture to consumers, it is necessary to use policy constraints and process monitoring to ensure the safety and quality of aquatic products. Wireless Sensor Network (WSNs) can remotely and realtime monitor all kinds of environmental monitoring objects in network coverage by combining wireless communication and information processing technology. It is of great scientific significance and broad application prospect to collect information and analyze and deal with it later. With wireless sensor network, the environment of aquatic product transportation can be monitored and managed more conveniently. The long process of monitoring aquatic products from aquaculture to consumers requires a complete and modernized monitoring system. Based on wireless sensor network (WSN) technology, aiming at the requirement of real-time monitoring of environmental data in aquatic product tracing process and the functional requirement of monitoring system, this paper establishes a real-time, continuous, real-time monitoring system. Automatic monitoring system for environmental parameters of aquatic products transportation. Data transmitted in WSN may be correlated and redundant. How to compress the data transmitted in the network and reduce the transmission energy consumption has always been studied by a large number of scholars. Based on the cross-correlation relationship between data, a traceability perceptual data compression algorithm based on cross-correlation sequence is proposed in this paper. In the network, two kinds of nodes (cluster head and cluster head) perform their own compression: the cluster nodes compress multiple attribute data according to their importance, and the cluster node points decompress the data from the cluster nodes. The decompression data is compressed twice to minimize the communication energy consumption. In some cases, the compression algorithm of cluster head node may cause the data distortion after compression to be too large. In this paper, an improved data compression method for cluster head node is proposed, although it is not superior to the former method in energy saving. But it ensures the authenticity of the data and facilitates the timely response to the problems in the environment. A monitoring system based on the combination of wireless sensor network and mobile terminal is proposed in this paper. The system can monitor the transportation environment in the process of aquatic product traceability in real time. It can effectively solve the problems of less monitoring parameters and unscientific node distribution in other transport environment monitoring systems. Firstly, the whole framework is built according to the function of the system, and then the solution to the software and hardware problems in the system is put forward, which involves the fusion of various communication mechanisms and the integration of various sensors. It is proved by experiments that the system has many monitoring parameters, scientific node distribution, high precision and energy saving, and has better practical application value in the monitoring of aquatic product transportation process. The research results of this paper provide theoretical and practical basis for data collection of transportation environment in the process of aquatic products tracing, solve many problems in the process of transportation environment monitoring, and can be used in the process of aquatic products logistics transportation. Industrialization prospects are very broad, with potential economic benefits.
【學位授予單位】:上海海洋大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TP212.9;TN929.5;TP274
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