【摘要】：物聯(lián)網(wǎng)被稱為繼計(jì)算機(jī)和互聯(lián)網(wǎng)后的第三次信息技術(shù)革命,是互聯(lián)網(wǎng)的拓展與延伸,通過物物相聯(lián)真正實(shí)現(xiàn)人們對世界的全面感知。農(nóng)業(yè)物聯(lián)網(wǎng)作為物聯(lián)網(wǎng)主要應(yīng)用的眾多領(lǐng)域之一,其依賴傳感器網(wǎng)絡(luò)與信息技術(shù)推動現(xiàn)代農(nóng)業(yè)發(fā)展,改變了依靠種植經(jīng)驗(yàn)指導(dǎo)農(nóng)業(yè)生產(chǎn)的傳統(tǒng)模式,實(shí)現(xiàn)了通過傳感器網(wǎng)絡(luò)采集農(nóng)田信息而科學(xué)指導(dǎo)農(nóng)業(yè)生產(chǎn)的精確種植模式,提高了資源利用率與農(nóng)業(yè)產(chǎn)品產(chǎn)量。傳感器網(wǎng)絡(luò)會采集大量的數(shù)據(jù)信息,如何實(shí)現(xiàn)即時查看,遠(yuǎn)程監(jiān)控是實(shí)際應(yīng)用中至關(guān)重要的一步;而且,農(nóng)田環(huán)境下的傳感器節(jié)點(diǎn)所處環(huán)境惡劣,加上自身損耗,自然會出現(xiàn)損毀情況,要想確保采集數(shù)據(jù)的準(zhǔn)確可靠,節(jié)點(diǎn)故障檢測也就顯得尤為重要。針對以上問題,本文提出的農(nóng)業(yè)物聯(lián)網(wǎng)監(jiān)控管理系統(tǒng)從數(shù)據(jù)處理、數(shù)據(jù)顯示、故障檢測等三個方面實(shí)現(xiàn)了對農(nóng)田系統(tǒng)的監(jiān)控與管理。應(yīng)用服務(wù)程序通過建立SOCKET連接與傳感器網(wǎng)絡(luò)建立通信,接收并存儲農(nóng)田環(huán)境的溫度、光照、濕度等數(shù)據(jù);并以Web應(yīng)用的形式對傳感器網(wǎng)絡(luò)采集的數(shù)據(jù)進(jìn)行遠(yuǎn)程監(jiān)控,方便用戶查看節(jié)點(diǎn)采集數(shù)據(jù)與網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)。在實(shí)現(xiàn)以上監(jiān)控的基礎(chǔ)上,還特別提出了基于時空相關(guān)性的傳感器網(wǎng)絡(luò)節(jié)點(diǎn)故障檢測算法。時間相關(guān)檢測復(fù)雜度低但準(zhǔn)確度較差,空間相關(guān)檢測準(zhǔn)確率較高但復(fù)雜度高,本文綜合利用時間相關(guān)檢測和空間相關(guān)檢測的特點(diǎn),在保證檢測準(zhǔn)確度的前提下,提高了節(jié)點(diǎn)故障檢測速率。同時,時間相關(guān)性檢測不需要節(jié)點(diǎn)間交換數(shù)據(jù),節(jié)省了網(wǎng)絡(luò)的通信成本,在利用空間相關(guān)性時還根據(jù)聚類算法對空間節(jié)點(diǎn)進(jìn)行分簇,提高相關(guān)節(jié)點(diǎn)間的空間相關(guān)性。
[Abstract]:Internet of things is called the third information technology revolution after the computer and the Internet. It is the expansion and extension of the Internet. It truly realizes people's all-round perception of the world through the connection of things and things. Agricultural Internet of things, as one of the main applications of the Internet of things, relies on sensor networks and information technology to promote the development of modern agriculture, and has changed the traditional mode of relying on planting experience to guide agricultural production. The precise planting mode of collecting farmland information through sensor network and guiding agricultural production scientifically has been realized, and the utilization rate of resources and the output of agricultural products have been improved. Sensor network will collect a large number of data information, how to realize real-time inspection, remote monitoring is a very important step in practical application; Moreover, the sensor node in the farmland environment is in a bad environment, coupled with its own loss, it will naturally occur damage. In order to ensure the accuracy and reliability of the collected data, node fault detection is particularly important. In view of the above problems, the monitoring and management system of agricultural Internet of things proposed in this paper realizes the monitoring and management of farmland system from three aspects: data processing, data display and fault detection. The application service program establishes the communication with the sensor network through the SOCKET connection, receives and stores the farmland environment temperature, the illumination, the humidity and so on data; The data collected in sensor network is monitored remotely in the form of Web application, which makes it convenient for users to view the collected data and network topology of nodes. On the basis of the above monitoring, a node fault detection algorithm based on spatio-temporal correlation is proposed. The complexity of temporal correlation detection is low but the accuracy is poor, the accuracy of spatial correlation detection is high but the complexity is high. This paper comprehensively utilizes the characteristics of time correlation detection and spatial correlation detection to ensure the detection accuracy under the premise of ensuring the detection accuracy. The speed of node fault detection is improved. At the same time, the temporal correlation detection does not need to exchange data between nodes, thus saving the communication cost of the network, and clustering the spatial nodes according to the clustering algorithm to improve the spatial correlation between the related nodes in the use of spatial correlation.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP391.44;TN929.5;TP311.52

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