本文選題：FDR土壤濕度傳感器 + 溫度補(bǔ)償　； 參考：《河北工業(yè)大學(xué)》2015年碩士論文

【摘要】：植物生長(zhǎng)在土壤中,時(shí)刻需要土壤水分的供給,研究土壤的水分狀況對(duì)植物的生長(zhǎng)具有重要意義。土壤濕度傳感器能實(shí)時(shí)監(jiān)測(cè)土壤含水量,越來(lái)越多的土壤濕度傳感器被用在農(nóng)業(yè)種植領(lǐng)域。土壤濕度傳感器的種類(lèi)有多種,FDR土壤濕度傳感器具有使用簡(jiǎn)單、實(shí)時(shí)性好等優(yōu)點(diǎn),已廣泛應(yīng)用在土壤含水量檢測(cè)上。但是根據(jù)前人研究和用戶反應(yīng),FDR土壤濕度傳感器在使用過(guò)程中易受溫度、土壤硬度等因素影響,如果不對(duì)這些影響因素進(jìn)行補(bǔ)償,勢(shì)必會(huì)對(duì)最后的測(cè)量結(jié)果產(chǎn)生影響,影響正確判斷土壤含水量的多少。在分析與研究了各種影響因素以后,本文重點(diǎn)研究了溫度對(duì)FDR土壤濕度傳感器的影響,采用二元回歸分析法和BP神經(jīng)網(wǎng)絡(luò)法對(duì)其進(jìn)行了溫度補(bǔ)償,并利用Matlab軟件進(jìn)行了仿真。補(bǔ)償前傳感器的靈敏度溫度系數(shù)為3.9×10-3/℃,經(jīng)二元回歸分析法對(duì)傳感器進(jìn)行溫度補(bǔ)償以后,傳感器的靈敏度溫度系數(shù)下降為1.3×10-3/℃;經(jīng)BP神經(jīng)網(wǎng)絡(luò)法對(duì)傳感器進(jìn)行溫度補(bǔ)償以后,傳感器的靈敏度溫度系數(shù)下降為5.85×10-4/℃。由此可以看出,經(jīng)兩種方法對(duì)FDR土壤濕度傳感器進(jìn)行溫度補(bǔ)償以后,其靈敏度溫度系數(shù)有所降低,表明溫度穩(wěn)定性有了一定程度的提高。本文還對(duì)二元回歸分析法和BP神經(jīng)網(wǎng)絡(luò)法的補(bǔ)償效果進(jìn)行了對(duì)比,經(jīng)過(guò)對(duì)比發(fā)現(xiàn),二元回歸分析法的平均補(bǔ)償誤差為0.1224%,BP神經(jīng)網(wǎng)絡(luò)補(bǔ)償法平均補(bǔ)償誤差為0.0548%,要比二元回歸分析補(bǔ)償法的低一個(gè)數(shù)量級(jí),且BP神經(jīng)網(wǎng)絡(luò)法的補(bǔ)償誤差要比二元回歸分析法的補(bǔ)償誤差分布要均勻。
[Abstract]:Plant growth in the soil, always need soil moisture supply, the study of soil moisture status is of great significance to plant growth.Soil moisture sensors can monitor soil moisture in real time. More and more soil moisture sensors are used in the field of agricultural planting.The kinds of soil moisture sensors have been widely used in soil moisture detection for their advantages of simple use and good real-time performance.However, according to previous research and user response, FDR soil moisture sensor is easily affected by temperature, soil hardness and other factors in the process of use. If these factors are not compensated, it will certainly have an impact on the final measurement results.The effect of water content on soil water content is correct.After analyzing and studying various influencing factors, the effect of temperature on FDR soil moisture sensor was studied in this paper. The temperature compensation was carried out by using binary regression analysis method and BP neural network method, and the simulation was carried out by Matlab software.The sensitivity temperature coefficient of the sensor is 3.9 脳 10 ~ (-3) / 鈩，

本文編號(hào)：1756243