基于移動互聯(lián)的農(nóng)產(chǎn)品二維碼溯源系統(tǒng)設(shè)計
發(fā)布時間：2018-12-17 14:39
【摘要】：【目的】提出一種基于移動互聯(lián)的農(nóng)產(chǎn)品二維碼(QR碼)溯源系統(tǒng)�！痉椒ā垦芯吭撓到y(tǒng)的邏輯和物理結(jié)構(gòu),分析里德-索洛蒙(RS碼)糾錯編碼原理及二維碼編碼算法。采用壓縮感知(Compressed sensing,CS)算法預(yù)處理受污圖像,對比傳統(tǒng)的Gaussian、Disk和Log去噪方法,研究二維碼數(shù)據(jù)容量與糾錯的關(guān)系,研究掃描像素、受污位置和可識別圖像的聯(lián)系,確定手機攝像頭參數(shù)。【結(jié)果】手機掃描最低像素為200萬。RS編碼信噪比為10.7 d Bm時,CS誤碼率為0.040 1,低于Log法的0.042 5;RS編碼信噪比為11.7 d Bm時,CS誤碼率為0.011 3,低于Gaussian法的0.014 7。CS在多種噪聲處理中的最大編碼信噪比均大于10 d Bm。噪聲掩蓋區(qū)域?qū)ξ恢脜^(qū)影響最大,噪聲在位置區(qū)和編碼區(qū)的解碼平均正確率分別為87.68%和91.24%�！窘Y(jié)論】該系統(tǒng)實現(xiàn)了對象信息的完整性、可追溯性,解決了農(nóng)產(chǎn)品種植、加工、流通、銷售各個環(huán)節(jié)信息的滯后問題。
[Abstract]:[objective] to propose a traceability system of agricultural product two-dimension code (QR) based on mobile interconnection. [methods] the logic and physical structure of the system are studied, and the principle of RS code correction and the algorithm of two-dimension code coding are analyzed. The compressed sensing (Compressed sensing,CS) algorithm is used to preprocess the polluted image. Compared with the traditional Gaussian,Disk and Log de-noising methods, the relationship between the data capacity of two-dimensional code and error correction is studied, and the relationship between scanned pixels, contaminated location and recognizable image is studied. [results] the minimum pixel of mobile phone scanning is 2 million. When the signal to noise ratio of RS code is 10.7 d Bm, the BER of CS is 0.040 1, which is lower than that of Log method (0.042 5). When the signal to noise ratio (SNR) of RS code is 11.7d Bm, the BER of CS code is 0.011 3, which is lower than that of Gaussian method (0.014 7.CS) in many kinds of noise processing. The maximum SNR of CS code is greater than 10 d Bm.. The noise masking area has the greatest influence on the position region, and the average decoding accuracy of noise in the position region and coding area is 87.68% and 91.24% respectively. [conclusion] the system realizes the integrity and traceability of object information. To solve the problem of agricultural product planting, processing, circulation and marketing of information lag.
【作者單位】： 華南農(nóng)業(yè)大學(xué)電子工程學(xué)院/廣東省農(nóng)情信息監(jiān)測工程技術(shù)研究中心;
【基金】：國家自然科學(xué)基金(41471351) 國家重點研發(fā)計劃(2016YFD0200700) 廣東省科技計劃(2015A020224036;2014A020208109) 廣東省水利科技創(chuàng)新項目(2016-18) 華南農(nóng)業(yè)大學(xué)校長科學(xué)基金(4500-K14018)
【分類號】：S126;TP391.44
本文編號：2384337
[Abstract]:[objective] to propose a traceability system of agricultural product two-dimension code (QR) based on mobile interconnection. [methods] the logic and physical structure of the system are studied, and the principle of RS code correction and the algorithm of two-dimension code coding are analyzed. The compressed sensing (Compressed sensing,CS) algorithm is used to preprocess the polluted image. Compared with the traditional Gaussian,Disk and Log de-noising methods, the relationship between the data capacity of two-dimensional code and error correction is studied, and the relationship between scanned pixels, contaminated location and recognizable image is studied. [results] the minimum pixel of mobile phone scanning is 2 million. When the signal to noise ratio of RS code is 10.7 d Bm, the BER of CS is 0.040 1, which is lower than that of Log method (0.042 5). When the signal to noise ratio (SNR) of RS code is 11.7d Bm, the BER of CS code is 0.011 3, which is lower than that of Gaussian method (0.014 7.CS) in many kinds of noise processing. The maximum SNR of CS code is greater than 10 d Bm.. The noise masking area has the greatest influence on the position region, and the average decoding accuracy of noise in the position region and coding area is 87.68% and 91.24% respectively. [conclusion] the system realizes the integrity and traceability of object information. To solve the problem of agricultural product planting, processing, circulation and marketing of information lag.
【作者單位】： 華南農(nóng)業(yè)大學(xué)電子工程學(xué)院/廣東省農(nóng)情信息監(jiān)測工程技術(shù)研究中心;
【基金】：國家自然科學(xué)基金(41471351) 國家重點研發(fā)計劃(2016YFD0200700) 廣東省科技計劃(2015A020224036;2014A020208109) 廣東省水利科技創(chuàng)新項目(2016-18) 華南農(nóng)業(yè)大學(xué)校長科學(xué)基金(4500-K14018)
【分類號】：S126;TP391.44
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