本文關(guān)鍵詞： 油煙檢測(cè) STM32 GPRS通信 網(wǎng)絡(luò)通信　出處：《聊城大學(xué)》2017年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：油煙在未經(jīng)過(guò)凈化處理時(shí),會(huì)排放大量的固態(tài)小顆粒,增加大氣中霧霾的含量,同時(shí)也會(huì)將大量的有害氣體排放到大氣中,危害人類(lèi)身體健康。因此,本文設(shè)計(jì)了基于云計(jì)算的油煙在線監(jiān)測(cè)系統(tǒng)來(lái)監(jiān)控油煙是否被凈化。整體設(shè)計(jì)方案由油煙采集及顯示設(shè)備、云端存儲(chǔ)軟件、監(jiān)測(cè)中心軟件三部分組成。油煙采集及顯示設(shè)備是通過(guò)STM32F103C8T6微處理器芯片為主的嵌入式系統(tǒng),利用TGS2600油煙氣體傳感器和GP2Y1050AU0F油煙固體小顆粒傳感模塊采集油煙氣體濃度與油煙固體小顆粒濃度,在OLED(Organic Light-Emitting Diode,有機(jī)電激發(fā)光二極管)顯示屏上顯示,同時(shí)嵌入式系統(tǒng)通過(guò)串口連接GPRS(General Packet Radio Service通用分組無(wú)線業(yè)務(wù))模塊,將數(shù)據(jù)傳送到云端;云端存儲(chǔ)軟件位于云端服務(wù)器,利用云計(jì)算服務(wù)將收到的數(shù)據(jù)存儲(chǔ)到云端并發(fā)送到監(jiān)控中心;監(jiān)控中心軟件是由Visual Studio 2013編寫(xiě)完成,首先是云端軟件建立通信,然后接收云端軟件傳送過(guò)來(lái)的數(shù)據(jù),應(yīng)用數(shù)據(jù)換算、數(shù)據(jù)誤差處理、數(shù)據(jù)融合等算法對(duì)其進(jìn)行處理,以數(shù)字與曲線圖的方式顯示在界面上,并根據(jù)國(guó)家飲食業(yè)油煙排放標(biāo)準(zhǔn)判斷在超標(biāo)時(shí)給予報(bào)警提示。本系統(tǒng)從油煙采集及顯示設(shè)備到云端,再?gòu)脑贫说奖O(jiān)測(cè)中心的功能測(cè)試后都得到了實(shí)現(xiàn)。由于加入了數(shù)據(jù)融合算法,得到的數(shù)據(jù)更可靠,同時(shí)油煙采集及顯示設(shè)備與監(jiān)測(cè)中心之間加入了云端存儲(chǔ)數(shù)據(jù),既簡(jiǎn)化了設(shè)備又降低了傳輸成本。選取了一個(gè)小餐館進(jìn)行實(shí)地測(cè)試,根據(jù)得到的數(shù)據(jù)可以得出:凈化前的油煙濃度都高于國(guó)家標(biāo)準(zhǔn)規(guī)定的2.0 mg/m3,相對(duì)的凈化后的油煙濃度都低于國(guó)家標(biāo)準(zhǔn)。由此得出此系統(tǒng)設(shè)計(jì)在油煙的實(shí)時(shí)監(jiān)控方面有重要的意義。
[Abstract]:When the oil fume is not purified, it will release a large number of small solid particles, increase the content of haze in the atmosphere, and at the same time, it will also release a large number of harmful gases into the atmosphere, which will endanger human health. In this paper, an on-line monitoring system based on cloud computing is designed to monitor whether the oil fume is purified. The overall design scheme is composed of oil fume acquisition and display equipment, cloud storage software, etc. The oil fume acquisition and display equipment is an embedded system based on STM32F103C8T6 microprocessor chip. Using TGS2600 oil fume gas sensor and GP2Y1050AU0F oil fume solid particle sensor module to collect the oil fume gas concentration and the oil fume solid particle concentration, which are displayed on the OLED(Organic Light-Emitting Diode (electromechanical stimulated light emitting diode) display screen. At the same time, the embedded system connects the GPRS(General Packet Radio Service general packet radio service module through the serial port, transfers the data to the cloud, the cloud storage software is located in the cloud server, Using cloud computing services, the received data is stored in the cloud and sent to the monitoring center, which is written by Visual Studio 2013 to establish communication with the cloud software and then receive data from the cloud software. Data conversion, data error processing, data fusion and other algorithms are used to process them, and they are displayed on the interface in the form of figures and graphs. According to the national standard of cooking fume emission, the alarm warning is given when the standard is exceeded. The system is from the oil fume collection and display equipment to the cloud. Then the function test from cloud to monitoring center is realized. Because of the data fusion algorithm, the obtained data is more reliable. At the same time, the cloud storage data is added between the oil fume collection and display equipment and the monitoring center. It simplifies the device and reduces transmission costs. A small restaurant is selected for field testing. According to the obtained data, it can be concluded that the concentration of oil fume before purification is higher than that stipulated by the national standard of 2.0 mg / m ~ (3), and the relative concentration of oil fume after purification is lower than that of national standard, which indicates that the design of this system is of great significance in the real-time monitoring of oil fume.
【學(xué)位授予單位】：聊城大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP274

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