component detection中文是什么意思

發(fā)音:

中文翻譯
造句

元件檢測(cè)

detection n. 1.探知；發(fā)現(xiàn)，發(fā)覺；敗露。 2.【化學(xué)】檢定，檢查；【電訊】檢波。
no detection 未檢出
on detection of 一察覺到; 一偵測(cè)到
and component 與元件
component adj. 構(gòu)成的，組成的，合成的，成分的。 component motion 【物理學(xué)】分運(yùn)動(dòng)。 component part 組成部分。 n. 部分，成分；【物理學(xué)】分力，分向量；【自動(dòng)化】元件，組件，部件。 component of force 【物理學(xué)】分力。 component (star) 【天文學(xué)】子星。 components of cost (各種)生產(chǎn)費(fèi)用。
component a 組分a; 組元a
or component 或元件
s component component]慢泳成分:丙種球蛋白; 慢泳成分:丙種球蛋白
s-component 緩變分量
to component 到組件
flaw detection, detect detection 探傷
acoustic detection 聲波探測(cè); 聲測(cè); 聲探測(cè); 聲學(xué)探測(cè)
active detection 主動(dòng)探測(cè)
address detection 地址檢
advanced detection 遠(yuǎn)程探測(cè)
aerial detection 空氣檢測(cè); 空中探測(cè)
aeromagnetic detection 航空磁測(cè)
air detection 大氣檢測(cè); 對(duì)空探測(cè); 空中偵察
airborne detection 空中探測(cè)
alpha detection α輻射探測(cè); 阿爾法射線探測(cè)
amplitude detection 幅度檢波; 幅度檢測(cè)
analog detection 模擬探測(cè)
angle detection 角度檢測(cè)
anode detection 板極檢波; 陽極檢波
anodebend detection 陽極檢波

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In summarization, multi-sensor data fusion ( msdf ), which realizes complex components detection on-line, is valid and can provide warrant of intelligent dynamic regulation and control for nutrient-liquid in addition, this paper gives an introduction to the design and realization of msdf system in detail, which include single chip microcomputer system of sampling and preprocessing, management software system by delphi, matlab and communication between micro-computer and single chip microcomputer
綜上所述，本論文提出的營養(yǎng)液多組分在線檢測(cè)的多傳感器數(shù)據(jù)融合機(jī)制可以實(shí)現(xiàn)對(duì)復(fù)雜營養(yǎng)液成分的實(shí)時(shí)檢測(cè)，從而為循環(huán)無土栽培方式中營養(yǎng)液的智能動(dòng)態(tài)調(diào)控提供依據(jù)。此外，在論文中還詳細(xì)描述了所研制的多傳感器數(shù)據(jù)融合系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)，包括：信號(hào)采集和預(yù)處理的下位單片機(jī)系統(tǒng)研制；基于面向?qū)ο蟮膁elphi語言和matlab的上位pc機(jī)管理軟件的設(shè)計(jì)開發(fā)以及上下位機(jī)的通信等。
Therefore, it is necessary to establish the system of the multi-component detection on-line for circulation nutrient-liquid . on-line detection of nutrient liquid is used to adjust components concentrations of nutrient liquid in term of variable growth requirement . this research is helpful to provide an efficient approach from greenhouse agriculture to precision agriculture and concentrated agriculture
營養(yǎng)液濃度的合理調(diào)配是保證作物健康生長的關(guān)鍵，因此，營養(yǎng)液多組分在線檢測(cè)系統(tǒng)的建立，有利于根據(jù)作物生長全階段對(duì)營養(yǎng)需求的不同進(jìn)行營養(yǎng)液的動(dòng)態(tài)合理調(diào)配，為設(shè)施農(nóng)業(yè)走向“精準(zhǔn)農(nóng)業(yè)”、“高效農(nóng)業(yè)”提供一條有效的途徑。
At the same time, we establish the experiment system of component detection on-line of circulation nutrient-liquid according to above theoretical frame . experiment results show that msdf's results approach to practice with less than ? % error in effect . that proves validity and credibility of theoretic frame as above
實(shí)驗(yàn)結(jié)果表明，基于rbf神經(jīng)網(wǎng)絡(luò)的多傳感器融合系統(tǒng)的預(yù)測(cè)結(jié)果能夠有效的逼近實(shí)際值，誤差不大于5，證明了本文所提機(jī)制的有效性和可靠性。
Through study of correlative contents of advanced computer cybernetics, artificial intelligence, the domain knowledge and special crop growth mechanism in greenhouse, we present the system of multi-sensor data fusion ( msdf ) based on radial basis function network ( rbf ) to implement on line detection for nutrient-liquid, which may realize multiple components detection on-line, for example no3-, cl-, ca2 +, ph, ec, nh4 +, k + and so on . the soft sensor's mechanism is introduced to overcome the limitations of sensor's manufacturing process . to improve the believe-degree of soft sensor's result, we analyze soft sensor's result by uncertain inferential capacity and combination rule of evidential theory
本論文通過對(duì)計(jì)算機(jī)技術(shù)、控制理論、人工智能技術(shù)和設(shè)施農(nóng)業(yè)領(lǐng)域知識(shí)等相關(guān)理論的研究，結(jié)合對(duì)特定溫室蔬菜生長的研究與機(jī)理分析，提出了一種基于rbf神經(jīng)網(wǎng)絡(luò)的營養(yǎng)液多傳感器數(shù)據(jù)融合(msdf)系統(tǒng)，實(shí)現(xiàn)對(duì)營養(yǎng)液組分：no_3~-、cl~-、ca~(2+)、ph、ec、nh_4~+和k~+的在線檢測(cè)；對(duì)于由于目前傳感器制造工藝的限制而不能在線檢測(cè)的離子成分如磷酸根和硫酸根，提出了一種基于徑向基函數(shù)網(wǎng)絡(luò)的軟測(cè)量機(jī)制，可以有效地實(shí)現(xiàn)對(duì)營養(yǎng)液中磷酸根和硫酸根成分的實(shí)時(shí)檢測(cè)；為了提高軟測(cè)量結(jié)果的可信度，利用d-s證據(jù)理論的不確定推理能力和合成公式，結(jié)合領(lǐng)域知識(shí)對(duì)軟測(cè)量結(jié)果進(jìn)行可信度分析。

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