本文選題：冷鏈物流 + 無(wú)線(xiàn)傳感器網(wǎng)路　； 參考：《西南科技大學(xué)》2015年碩士論文

【摘要】：隨著冷鏈物流業(yè)的不斷發(fā)展,相關(guān)技術(shù)日臻成熟,體系日益完善,對(duì)溫度監(jiān)控系統(tǒng)的精確性要求也越來(lái)越高。傳統(tǒng)冷鏈物流溫度監(jiān)控一般由人工使用溫度計(jì)記錄,不但浪費(fèi)人力,效率低下,也無(wú)法滿(mǎn)足當(dāng)前冷鏈物流業(yè)規(guī)�；�、智能化的發(fā)展要求。冷鏈物流也隨其他行業(yè)一樣需要努力破除陳舊的思想觀念,借鑒當(dāng)前科學(xué)技術(shù)發(fā)展的最新成果,尤其在溫濕度的監(jiān)控方面。本文在前人研究的基礎(chǔ)上,提出了一種基于無(wú)線(xiàn)傳感器網(wǎng)絡(luò)和射頻識(shí)別技術(shù)的冷鏈物流溫濕度等環(huán)境信息的監(jiān)控和產(chǎn)品智能標(biāo)記、識(shí)別系統(tǒng)。本文借鑒物聯(lián)網(wǎng)三層結(jié)構(gòu),將系統(tǒng)分為感知層、管理層和服務(wù)層,其中感知層和管理層是本文的研究重點(diǎn)。感知層由Zigbee無(wú)線(xiàn)傳感器網(wǎng)絡(luò)和射頻識(shí)別系統(tǒng)組成,是系統(tǒng)數(shù)據(jù)的主要來(lái)源,負(fù)責(zé)采集保溫運(yùn)輸車(chē)廂內(nèi)環(huán)境信息、運(yùn)輸物品的標(biāo)識(shí)和跟蹤,為后期搭建質(zhì)量追蹤系統(tǒng)提供數(shù)據(jù)支持;管理層是基于嵌入式系統(tǒng)的監(jiān)控平臺(tái),它集成GPRS、GPS模塊,應(yīng)用數(shù)據(jù)庫(kù)技術(shù)完成數(shù)據(jù)的儲(chǔ)存、管理,采用嵌入式Qt提供GUI。本文結(jié)合模糊控制理論,設(shè)計(jì)模糊自整定控制系統(tǒng),Matlab/Simulink仿真結(jié)果表明,模糊PID控制不僅具有PID控制的優(yōu)點(diǎn),還具有自適應(yīng)功能,具有良好的動(dòng)態(tài)性能和穩(wěn)態(tài)性能。
[Abstract]:With the continuous development of cold-chain logistics industry, the related technology is maturing, the system is becoming more and more perfect, and the precision of temperature monitoring system is becoming more and more high. The traditional temperature monitoring of cold chain logistics is usually recorded by manual use of thermometers, which not only wastes manpower, but also fails to meet the demand of large-scale and intelligent development of cold chain logistics industry. Along with other industries, cold chain logistics also needs to break down the old ideas and learn from the latest achievements in the development of science and technology, especially in the monitoring of temperature and humidity. On the basis of previous studies, this paper presents an intelligent identification system based on wireless sensor networks and radio frequency identification (RFID) technology for the monitoring and identification of cold chain logistics, temperature and humidity, and other environmental information. Based on the three-tier structure of the Internet of things, this paper divides the system into three layers: perceptual layer, management layer and service layer, among which the perceptual layer and the management layer are the focus of this paper. The sensing layer is composed of Zigbee wireless sensor network and radio frequency identification system, which is the main source of system data. The management layer is a monitoring platform based on embedded system, which integrates GPRSU GPS module, uses database technology to complete data storage and management, and uses embedded QT to provide gui. Combined with fuzzy control theory, the simulation results of fuzzy self-tuning control system Matlab-Simulink show that fuzzy PID control not only has the advantages of PID control, but also has adaptive function, and has good dynamic and steady performance.
【學(xué)位授予單位】：西南科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TP277;TN92;TP391.44

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本文編號(hào)：1786346