component detection中文什么意思

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用"component detection"造句

元件检测

detection: n. 1.探知；发现，发觉；败露。 2.【化学】检定，检查；【电讯】检波。
no detection: 未检出
on detection of: 一察觉到; 一侦测到
and component: 与元件
component: adj. 构成的，组成的，合成的，成分的。 component motion 【物理学】分运动。 component part 组成部分。 n. 部分，成分；【物理学】分力，分向量；【自动化】元件，组件，部件。 component of force 【物理学】分力。 component (star) 【天文学】子星。 components of cost (各种)生产费用。

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例句与用法

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
综上所述，本论文提出的营养液多组分在线检测的多传感器数据融合机制可以实现对复杂营养液成分的实时检测，从而为循环无土栽培方式中营养液的智能动态调控提供依据。此外，在论文中还详细描述了所研制的多传感器数据融合系统的设计与实现，包括：信号采集和预处理的下位单片机系统研制；基于面向对象的delphi语言和matlab的上位pc机管理软件的设计开发以及上下位机的通信等。
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
营养液浓度的合理调配是保证作物健康生长的关键，因此，营养液多组分在线检测系统的建立，有利于根据作物生长全阶段对营养需求的不同进行营养液的动态合理调配，为设施农业走向“精准农业”、“高效农业”提供一条有效的途径。
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
实验结果表明，基于rbf神经网络的多传感器融合系统的预测结果能够有效的逼近实际值，误差不大于5，证明了本文所提机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
本论文通过对计算机技术、控制理论、人工智能技术和设施农业领域知识等相关理论的研究，结合对特定温室蔬菜生长的研究与机理分析，提出了一种基于rbf神经网络的营养液多传感器数据融合(msdf)系统，实现对营养液组分：no_3~-、cl~-、ca~(2+)、ph、ec、nh_4~+和k~+的在线检测；对于由于目前传感器制造工艺的限制而不能在线检测的离子成分如磷酸根和硫酸根，提出了一种基于径向基函数网络的软测量机制，可以有效地实现对营养液中磷酸根和硫酸根成分的实时检测；为了提高软测量结果的可信度，利用d-s证据理论的不确定推理能力和合成公式，结合领域知识对软测量结果进行可信度分析。

component detection中文什么意思

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