【摘要】：傳統(tǒng)數(shù)據(jù)采集系統(tǒng)和視頻監(jiān)控系統(tǒng)多將數(shù)據(jù)存放在空間有限的本地存儲(chǔ)器上,存在數(shù)據(jù)丟失、人為破壞、硬件故障等隱患,可靠性較低,急切需要解決。云存儲(chǔ)具有高可靠性、高性能、空間可擴(kuò)展和可配置的優(yōu)點(diǎn),使用云存儲(chǔ)能有效解決這些難題。 本文設(shè)計(jì)并實(shí)現(xiàn)基于云存儲(chǔ)的嵌入式采集監(jiān)控系統(tǒng),將采集到的數(shù)據(jù)和圖像上傳到云存儲(chǔ)系統(tǒng)保存,利用云存儲(chǔ)保證數(shù)據(jù)的安全。主要完成工作如下：設(shè)計(jì)DS18B20數(shù)字溫度傳感器與MINI2440開發(fā)板的連接電路,編寫其在Linux操作系統(tǒng)下的字符設(shè)備驅(qū)動(dòng)程序并進(jìn)行數(shù)據(jù)采集；使用V4L2采集開發(fā)板上USB攝像頭圖像,對(duì)常見的運(yùn)動(dòng)目標(biāo)檢測(cè)算法進(jìn)行研究并使用openCV實(shí)現(xiàn)了背景差分法；注冊(cè)成為百度開發(fā)者,創(chuàng)建基于百度云存儲(chǔ)的應(yīng)用并申請(qǐng)開通使用PCSAPI的權(quán)限,移植libcurl、openssl和zlib到開發(fā)板,使用C語言對(duì)百度PCS API進(jìn)行二次封裝；最后在PC和開發(fā)板上進(jìn)行百度云上傳時(shí)間和速度測(cè)試,并使用多線程技術(shù)將基于libcurl設(shè)計(jì)的API與數(shù)據(jù)采集和圖像采集模塊進(jìn)行整合,將采集到的數(shù)據(jù)和圖像上傳到百度云存儲(chǔ)系統(tǒng)中。 經(jīng)測(cè)試表明,本方案是切實(shí)可行的,亦可以作為傳統(tǒng)數(shù)據(jù)采集和視頻監(jiān)控的一個(gè)重要的補(bǔ)充功能。
[Abstract]:Traditional data acquisition systems and video surveillance systems usually store data on the local memory with limited space. There are hidden dangers such as data loss, artificial destruction, hardware failure and so on, so the reliability is low and urgent need to be solved. Cloud storage has the advantages of high reliability, high performance, expansibility and configurable space. Cloud storage can effectively solve these problems. This paper designs and implements an embedded data acquisition and monitoring system based on cloud storage, uploads the collected data and images to the cloud storage system, and uses cloud storage to ensure the security of the data. The main work is as follows: design the connection circuit between DS18B20 digital temperature sensor and MINI2440 development board, write the character device driver under the Linux operating system and collect data; use V4L2 to capture the USB camera image on the development board. The common algorithms of moving target detection are studied and the background difference method is realized by using openCV, and the developer of Baidu is registered, the application based on Baidu cloud storage is created and the permission to use PCSAPI is applied, and libcurl,openssl and zlib are transplanted to the development board. Finally, we test the time and speed of Baidu cloud upload on PC and development board, and integrate the API based on libcurl with the module of data acquisition and image acquisition by using multi-thread technology. Will collect the data and image upload to Baidu cloud storage system. The test results show that this scheme is feasible and can be used as an important supplementary function of traditional data acquisition and video surveillance.
【學(xué)位授予單位】：內(nèi)蒙古大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP333;TP274

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