本文關(guān)鍵詞：面向冷鏈物流品質(zhì)感知的物聯(lián)網(wǎng)數(shù)據(jù)采集與建模方法　出處：《中國(guó)農(nóng)業(yè)大學(xué)》2017年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 冷鏈物流 壓縮感知 物聯(lián)網(wǎng) 數(shù)據(jù)采集 數(shù)據(jù)建模

【摘要】：冷鏈物流品質(zhì)感知技術(shù)是確保食品質(zhì)量安全的重要手段,當(dāng)前冷鏈物流實(shí)際過(guò)程中的環(huán)境參數(shù)的多源耦合性、品質(zhì)參數(shù)的多樣性及供應(yīng)鏈的信息不對(duì)稱性等特性阻礙了冷鏈物流品質(zhì)感知技術(shù)的發(fā)展應(yīng)用及其推廣。本研究針對(duì)冷鏈物流品質(zhì)感知的以上三個(gè)主要特性出發(fā),緊密圍繞冷鏈物流"感知數(shù)據(jù)集、耦合品質(zhì)集、動(dòng)態(tài)數(shù)據(jù)追溯集"三個(gè)核心品質(zhì)感知關(guān)鍵,以植物源性的鮮食葡萄以及動(dòng)物源性的水產(chǎn)品為研究實(shí)例,設(shè)計(jì)和研發(fā)了冷鏈物流品質(zhì)感知的物聯(lián)網(wǎng)軟硬件,構(gòu)建了冷鏈物流的壓縮感知數(shù)據(jù)采集方法、溫度品質(zhì)耦合建模方法以及可追溯建模方法,并以QR溯源條碼為載體,有效集成并展示了冷鏈物流品質(zhì)感知過(guò)程的關(guān)鍵質(zhì)量安全信息,形成了冷鏈物流品質(zhì)感知的物聯(lián)網(wǎng)溯源模式,最終構(gòu)建形成了一套系統(tǒng)化面向冷鏈物流品質(zhì)感知的物聯(lián)網(wǎng)數(shù)據(jù)采集與建模方法,實(shí)現(xiàn)了冷鏈物流過(guò)程的安全性、透明性及其可追溯性。本研究的主要貢獻(xiàn)如下:(1)明確了冷鏈物流具體業(yè)務(wù)流程、網(wǎng)鏈結(jié)構(gòu)及其特征情況,對(duì)冷鏈物流流程結(jié)構(gòu)及其物聯(lián)網(wǎng)數(shù)據(jù)采集與建模進(jìn)行了形式的定義與分析,并設(shè)計(jì)與構(gòu)建了冷鏈物流過(guò)程中的流程結(jié)構(gòu)及其物聯(lián)網(wǎng)數(shù)據(jù)采集與建模形式化模型,為本文后續(xù)的詳細(xì)研究開(kāi)展提供清晰分明的關(guān)系脈絡(luò)。(2)研發(fā)了冷鏈物流品質(zhì)感知的物聯(lián)網(wǎng)數(shù)據(jù)采集的無(wú)線傳感器節(jié)點(diǎn)、由協(xié)調(diào)器和ARM模塊所組成的物聯(lián)網(wǎng)匯聚節(jié)點(diǎn)的硬件和軟件,其性能測(cè)試表明,物聯(lián)網(wǎng)節(jié)點(diǎn)能夠準(zhǔn)確反映其冷鏈環(huán)境關(guān)鍵參數(shù)的波動(dòng)變化情況,當(dāng)發(fā)射功率在1dBm時(shí),物聯(lián)網(wǎng)節(jié)點(diǎn)的有效通信距離在30m左右,且具有相對(duì)穩(wěn)定的RSSI值以及相對(duì)低的工作功耗,能夠滿足冷鏈范圍內(nèi)的數(shù)據(jù)采集需求。(3)分析了壓縮感知數(shù)據(jù)采集方法,構(gòu)建了基于雙正交小波變換的稀疏變換矩陣的冷鏈物流感知數(shù)據(jù)稀疏壓縮采樣模型、冷鏈物流稀疏壓縮采樣感知數(shù)據(jù)重構(gòu)模型以及冷鏈物流壓縮感知的重構(gòu)性能評(píng)價(jià)模型,并以鮮食葡萄、冷凍羅非魚(yú)冷鏈實(shí)際對(duì)方法進(jìn)行了驗(yàn)證。壓縮感知數(shù)據(jù)采集方法能夠?qū)崿F(xiàn)冷鏈物流環(huán)境感知數(shù)據(jù)的稀疏壓縮采樣、傳輸與重構(gòu),并以少量的數(shù)據(jù)傳輸量以及最少無(wú)線傳輸時(shí)間,提高其信息傳輸效率,其數(shù)據(jù)壓縮率為76.30%,傳輸時(shí)間約為185.97 ms,物聯(lián)網(wǎng)匯聚節(jié)點(diǎn)平均功耗約為2989.52mW。(4)系統(tǒng)分析了食品冷鏈物流的溫度品質(zhì)變化特性,基于相關(guān)性分析和品質(zhì)動(dòng)力學(xué)模型方法,構(gòu)建了冷鏈物流品質(zhì)感知過(guò)程中的溫度品質(zhì)耦合貨架期預(yù)測(cè)模型,并通過(guò)實(shí)證分析構(gòu)建了鮮食葡萄的硬度、失水率以及冷凍羅非魚(yú)的細(xì)菌總數(shù)、TVB-N等關(guān)鍵品質(zhì)參數(shù)作為為其各自冷鏈過(guò)程的溫度品質(zhì)耦合預(yù)測(cè)模型,預(yù)測(cè)效率良好。(5)系統(tǒng)分析了冷物流品質(zhì)感知的可追溯跟蹤過(guò)程控制圖及其異常狀態(tài)的判斷準(zhǔn)則、溯源條形碼的分類及QR溯源條碼的編碼方法等,構(gòu)建了冷鏈物流品質(zhì)感知可追溯跟蹤與溯源模型,有效實(shí)現(xiàn)了對(duì)冷鏈物流品質(zhì)感知過(guò)程的質(zhì)量安全信息跟蹤與逆向追溯,形成了冷鏈物流品質(zhì)感知的物聯(lián)網(wǎng)溯源模式,并進(jìn)行了實(shí)證分析。
[Abstract]:Sensing technology of cold chain logistics quality is an important means to ensure food quality and safety, the actual environmental parameters of multi-source coupling process in cold chain logistics, information asymmetry and the characteristics of diversity and quality parameters of the supply chain has hindered the development of the application of cold chain logistics technology and perceived quality promotion. This study focused on the cold starting chain logistics quality perception of the above three main characteristics, closely around the cold chain logistics "perception data sets, coupling quality set, dynamic data set back" three core key to perceived quality, plant derived grape and animal aquatic products for example, the design and development of the cold chain logistics quality the perception of the networking hardware and software, the construction of cold chain logistics in compressed sensing data acquisition method, temperature quality coupling modeling method and traceability modeling method, and the QR barcode traceability as the carrier, active set And show the key quality safety information of cold chain logistics quality perception process, forming a networking source model of cold chain logistics quality perception, constructs a set of systematic for cold chain logistics quality aware networking data acquisition and modeling method, realizes safety process of cold chain logistics, transparency and traceability. The main contributions of this study are as follows: (1) the cold chain logistics specific business process, network structure and its characteristics, structure and process of the cold chain logistics network data acquisition and object modeling are defined and analysis form, and the design and construction of the flow structure of the cold chain logistics process and networking data acquisition and modeling of the formal model, provide context clear detail the following study carried out. (2) research and development of cold chain logistics quality aware networking data acquisition The wireless sensor node hardware and software networking nodes composed of coordinator and the ARM module, the performance test shows that the variations of networking nodes can accurately reflect the cold chain environmental key parameters, when the transmit power at 1dBm, effective communication distance networking nodes at around 30m, and has the relatively stable RSSI value and relatively low power consumption, which can meet the requirements of data acquisition within the scope of the cold chain. (3) analysis of the compressed sensing data acquisition method, constructs the cold chain logistics perception data sparse transform matrix biorthogonal wavelet transform compression sampling based on the model of cold chain logistics sparse compressed sampling data reconstruction the perception model of cold chain logistics performance evaluation and reconstruction of compressed sensing model, and the fresh grapes, frozen tilapia cold chain to verify the actual data acquisition method. Compression perception Methods to achieve sparse environment perception of the cold chain logistics data compression sampling, transmission and reconstruction, and with a small amount of data transmission and wireless transmission at time, improve the efficiency of information transmission, the data compression rate is 76.30%, the transmission time is about 185.97 MS, things sink node average power consumption is about 2989.52mW. (4) the system analysis of the temperature quality change characteristic of food cold chain logistics, correlation analysis and quality dynamic model based on the method of constructing the temperature shelf life of cold chain logistics quality coupling quality perception process prediction model, and through the empirical analysis of construction of fresh grape hardness, water loss rate and the total number of bacteria of frozen tilapia, key quality the parameters of TVB-N such as the quality of their respective temperature coupling process of cold chain prediction model, the prediction efficiency is good. (5) analyzed the cold logistics perceived quality traceability tracking Criterion of program-controlled mapping and the abnormal state of origin, classification and origin of QR barcode barcode encoding method, constructs the cold chain logistics perceived quality traceability tracking and traceability model, the effective realization of information tracking quality and safety of cold chain logistics quality perception process and reverse back, forming a networking source model of cold chain logistics the quality of perception, and the empirical analysis.

【學(xué)位授予單位】：中國(guó)農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.44;TN929.5;TS205.7

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