本文選題：RFID + 糧食周轉(zhuǎn)系統(tǒng)　； 參考：《河南工業(yè)大學(xué)》2017年碩士論文

【摘要】：隨著糧食科技的發(fā)展,傳統(tǒng)的糧食收購、倉儲管理方式凸顯不足,使用傳統(tǒng)的一維和二維條碼技術(shù)對糧食信息的統(tǒng)計(jì)不準(zhǔn)確,更新程度不高,此外由于外界溫度、褶皺、撕裂等因素對條碼的影響,信息的識別率會大大降低。本文將無線射頻識別技術(shù)(Radio Frequency Identification,RFID)與傳統(tǒng)糧食行業(yè)相結(jié)合,研究其在糧食周轉(zhuǎn)系統(tǒng)各主要環(huán)節(jié)中的關(guān)鍵應(yīng)用技術(shù)。本文首先對糧食周轉(zhuǎn)系統(tǒng)做了詳細(xì)的分析,對RFID射頻技術(shù)糧食周轉(zhuǎn)系統(tǒng)中的應(yīng)用做了詳盡的流程介紹和說明,針對RFID系統(tǒng)中標(biāo)簽在傳輸數(shù)據(jù)時,標(biāo)簽與標(biāo)簽之間基于概率型的ALOHA防碰撞算法進(jìn)行了系統(tǒng)的研究。標(biāo)簽數(shù)量不多的情況下標(biāo)簽識別過程中不需進(jìn)行標(biāo)簽估算,使用動態(tài)幀時隙算法即可識別標(biāo)簽;但當(dāng)標(biāo)簽數(shù)量較大時,則必須對標(biāo)簽數(shù)量進(jìn)行準(zhǔn)確的估算,根據(jù)估算的數(shù)量進(jìn)行分組,按照分組來依次識別標(biāo)簽。本文在ALOHA算法的基礎(chǔ)上,研究了一種基于動態(tài)因子均值標(biāo)簽數(shù)目估算方法的ALOHA改進(jìn)算法。進(jìn)而將該改進(jìn)算法應(yīng)用到糧食周轉(zhuǎn)系統(tǒng)中的糧食入倉、調(diào)配、換倉、補(bǔ)倉、出倉、運(yùn)動等環(huán)節(jié)中的標(biāo)簽識別,并通過系統(tǒng)仿真來分析和總結(jié),驗(yàn)證了ALOHA改進(jìn)算法在糧食周轉(zhuǎn)系統(tǒng)中應(yīng)用的可靠性。最后本文對ALOHA改進(jìn)算法在糧食周轉(zhuǎn)系統(tǒng)中的應(yīng)用進(jìn)行了總結(jié),并對該課題未來的重點(diǎn)研究方向進(jìn)行了展望,以期為ALOHA改進(jìn)算法更好地應(yīng)用于糧食周轉(zhuǎn)系統(tǒng)提供理論參考。
[Abstract]:With the development of food science and technology, the traditional methods of grain acquisition and storage management have been highlighted. The statistics of grain information by using the traditional one-dimensional barcode technology and two-dimensional barcode technology are not accurate and the degree of updating is not high. In addition, due to the external temperature, they are wrinkled. The information recognition rate will be greatly reduced because of the effect of tearing and other factors on the bar code. In this paper, radio frequency identification technology (RFID) is combined with traditional grain industry to study its key application technology in the main links of grain turnover system. In this paper, firstly, the grain turnover system is analyzed in detail, and the application of RFID radio frequency technology grain turnover system is introduced and explained in detail. A probabilistic Aloha anti-collision algorithm between tags is studied systematically. When the number of tags is not large, tag estimation is not needed in the process of tag recognition, and the dynamic frame slot algorithm is used to identify the tag, but when the number of tags is large, the number of tags must be estimated accurately. According to the estimated number of groups, according to the grouping to identify the label. Based on the Aloha algorithm, an improved Aloha algorithm based on the dynamic factor mean label number estimation method is studied in this paper. Then the improved algorithm is applied to the identification of the labels in the grain storage, distribution, change, replenishment, exit, movement and so on in the grain turnover system, and the system simulation is used to analyze and summarize it. The reliability of Aloha improved algorithm in grain turnover system is verified. Finally, this paper summarizes the application of Aloha improved algorithm in grain turnover system, and looks forward to the future research direction of this topic, in order to provide a theoretical reference for better application of Aloha improved algorithm in grain turnover system.
【學(xué)位授予單位】：河南工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：S126;TP391.44

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3 潘o踥，

本文編號：2071463