本文選題：大氣環(huán)境污染　切入點(diǎn)：環(huán)境監(jiān)測　出處：《石河子大學(xué)》2017年碩士論文

【摘要】：隨著我國農(nóng)村城鎮(zhèn)化進(jìn)程和農(nóng)業(yè)經(jīng)濟(jì)的快速發(fā)展,農(nóng)村大氣環(huán)境污染問題日益嚴(yán)重。大氣環(huán)境污染不僅會影響人類身體健康,造成農(nóng)田水土資源污染,影響作物生長,甚至還嚴(yán)重威脅到糧食安全,制約著農(nóng)村可持續(xù)發(fā)展。大氣環(huán)境監(jiān)測是大氣環(huán)境污染防治工作的基礎(chǔ)和保障,現(xiàn)有的監(jiān)測技術(shù)主要以架設(shè)地面監(jiān)測站和衛(wèi)星遙感方式為主,對于地域廣闊、環(huán)境復(fù)雜的農(nóng)村地區(qū),監(jiān)測設(shè)施相對落后,往往存在監(jiān)測成本較高、靈活度不高、效率低等不足。本文系統(tǒng)設(shè)計基于小型四旋翼無人機(jī),開展了低成本大氣環(huán)境參數(shù)測量系統(tǒng)的研究工作。首先,在飛行平臺方面,完成了飛行器組成單元的設(shè)備選型、組裝工作,并選取懸停狀態(tài)下的四旋翼飛行器為研究對象,運(yùn)用飛行器動力學(xué)、牛頓經(jīng)典力學(xué)等理論完成數(shù)學(xué)模型的構(gòu)建,提出了基于ITAE指標(biāo)的帶有前置濾波的PID優(yōu)化控制算法,使用MATLAB Simulink進(jìn)行了控制品質(zhì)提高的仿真實驗并結(jié)合真機(jī)完成了試飛驗證;其次,從監(jiān)測系統(tǒng)硬件和軟件模塊設(shè)計入手,選取了Arduino UNO作為處理器,采用DHT11、DSM501A、MQ-7、MG811傳感器分別完成溫濕度、顆粒物濃度、一氧化碳和二氧化碳數(shù)據(jù)獲取工作,并采用Micro SD卡模塊完成數(shù)據(jù)的讀寫、存儲工作;然后,選擇石河子大學(xué)東校區(qū)和石河子南開發(fā)區(qū)熱電廠西側(cè)200米處條田為實驗區(qū)域,確定采集點(diǎn)(每個點(diǎn)持續(xù)采集5min,30s一個周期,共采集10個數(shù)據(jù))完成采集實驗;最后,針對采集儀獲取的城市和農(nóng)田監(jiān)測點(diǎn)數(shù)據(jù),運(yùn)用格拉布斯準(zhǔn)則完成了樣本粗大誤差數(shù)據(jù)的篩選剔除工作,通過收集整理環(huán)保部官網(wǎng)標(biāo)準(zhǔn)數(shù)據(jù),使用最小二乘擬合方法實現(xiàn)了篩選后城市樣本數(shù)據(jù)和官網(wǎng)數(shù)據(jù)的曲線擬合,利用皮爾遜積矩系數(shù)分析驗證了相關(guān)性,根據(jù)擬合關(guān)系反演農(nóng)田標(biāo)準(zhǔn)數(shù)據(jù),進(jìn)而采用層次分析法實現(xiàn)了農(nóng)田及城市的環(huán)境質(zhì)量等級評價。系統(tǒng)實驗和軟件仿真實驗的結(jié)果表明:針對四旋翼飛行器系統(tǒng),在輸入為單位階躍信號且擾動作用較小可忽略時,采用基于ITAE指標(biāo)的帶有前置濾波的PID控制算法后,系統(tǒng)穩(wěn)態(tài)誤差為0,調(diào)節(jié)時間ts1s,系統(tǒng)超調(diào)量控制在5%以內(nèi),滿足誤差帶Δ=2%時系統(tǒng)的動態(tài)性能指標(biāo);系統(tǒng)采集的數(shù)據(jù)與官網(wǎng)數(shù)據(jù)擬合模型精度高,相關(guān)性均達(dá)到0.97,環(huán)境等級評級結(jié)果的準(zhǔn)確性達(dá)到93.3%。經(jīng)過軟件仿真、實際測試、數(shù)據(jù)分析等工作,驗證了采集系統(tǒng)的可靠性和數(shù)據(jù)的有效性,可為今后此類采集系統(tǒng)的設(shè)計提供一定的參考。
[Abstract]:With the rapid development of rural urbanization and agricultural economy, the problem of air pollution in rural areas is becoming more and more serious.Air pollution will not only affect the health of human beings, but also affect the soil and water resources pollution, crop growth, and even seriously threaten the food security, restricting the sustainable development of rural areas.Atmospheric environment monitoring is the basis and guarantee of the prevention and control of atmospheric environment pollution. The existing monitoring technology mainly consists of the erection of ground monitoring stations and satellite remote sensing, and the monitoring facilities are relatively backward in the rural areas with vast areas and complicated environment.There are many shortcomings such as high monitoring cost, low flexibility, low efficiency and so on.In this paper, a low-cost measurement system for atmospheric environment parameters is designed based on a small four-rotor UAV.First of all, in the aspect of flight platform, the equipment selection and assembly of the aircraft component unit are completed, and the four-rotor aircraft in hovering state is selected as the research object, and the dynamics of the vehicle is used.The mathematical model is constructed by Newton's classical mechanics theory, and a PID optimal control algorithm with prefilter based on ITAE index is proposed. The simulation experiment of improving control quality with MATLAB Simulink is carried out and the flight test is completed in combination with real machine.Starting with the hardware and software module design of the monitoring system, Arduino UNO is selected as the processor, and the temperature and humidity, particle concentration, carbon monoxide and carbon dioxide data acquisition are obtained by using the DHT11 / DSM501AX MQ-7MG811 sensor, respectively.The Micro SD card module is used to read, write and store the data. Then, selecting the 200m strip field in the east campus of Shihezi University and the west side of the thermal power plant in the south development zone of Shihezi as the experimental area, the collection point is determined (each point is continuously collected for 5 mins for a period of 30 s).Finally, the grabs criterion is used to complete the screening and culling of the gross error data of the samples, according to the data of urban and farmland monitoring points acquired by the collector.Through collecting and arranging the standard data of official website of the Ministry of Environmental Protection, the curve fitting of the selected city sample data and the official website data is realized by using the least square fitting method, and the correlation is verified by Pearson moment coefficient analysis.According to the fitting relation, the farmland standard data were retrieved, and then the environmental quality grade evaluation of farmland and city was realized by using the analytic hierarchy process (AHP).The results of system experiment and software simulation show that when the input signal is unit step signal and the disturbance is negligible, the PID control algorithm with prefilter based on ITAE index is adopted.The steady-state error of the system is 0, the adjusting time ts1s, the overshoot of the system is controlled within 5%, and the dynamic performance index of the system is satisfied with the error band 螖 = 2.The correlation reached 0.97, and the accuracy of environmental rating reached 93.3.The reliability of the acquisition system and the validity of the data are verified by software simulation, actual test and data analysis, which can provide a certain reference for the design of this kind of acquisition system in the future.
【學(xué)位授予單位】：石河子大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：X87

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