基于关联数据融合的地表移动传感器节点

开发了具有多个相关联传感器的地表移动传感器节点;提出一种基于专家系统进行关联数据处理的几何方格面积数据融合方法,即主要采用软硬件结合的方式,利用专家系统预设的节点环境阈值与传感器实际感测的数据相结合进行关联数据处理,将数据关系转化为几何方格面积,从而实现分类分层次的数据融合.结果表明：该方法能够对多个不同类型传感器提供的相同特征数据、互补特征数据、并行特征数据、条件关联数据进行融合;与传统传感器节点相比,地表移动传感器节点感测信息的准确率更高,能量消耗更低.     

基于FDR原理的土壤氮含量检测方法的研究

设计一款基于土壤介电理论中的频域反射法(Frequency Domain Reflectometry)的土壤氮含量传感器,提供了一种用于土壤中氮含量的快速测定的新方法。试验装置以2个金属平行板为敏感元件、含氮土壤为电介质,设计试验在不同土壤含水率梯度下,探索土壤含氮量对土壤介电特性的影响,用平行板电极借助磁场来检测土壤中氮含量,建立传感器的输出频率和土壤质量含水率和氮含量的数学模型。试验结果表明,在土壤含水量一致的情况下,传感器的输出频率随着氮素含量的增加呈递减趋势。模型调整R2达到0.97,验证了模型的有效性。在前人研究的基础上,基于已经成熟的驻波比法(Standing Wave Ratio,SWR)土壤水分传感器间接测量含氮土壤的介电常数,使用烘干法得到土壤的容重,即可得到含氮土壤较为精确的含水量,通过建立的模型根据传感器输出频率与含水量得到土壤的氮含量。     

A multi model composition framework based on bayesian model comparision and its application in soft sensor modeling

In order to improve the prediction performance of single model based soft sensor, the features of the current model combination frameworksby analynizing, a new multi model combination framework based on the bayesian model comparison is proposed. In this framework, fuzzy c means clustering to the historial data is used to analyze the production states, then the prediction performance of sub models at different states are compared based on bayesian model comparison. The comparing results are the basis of the model combination stratery at different states. With adapting cross validation predictive distribution, the samples got from the trained models are used to successfully reduce computation load of model comparion.The framework has obtained good results in the practical application.     

Hierarchical self-localization of underwater wireless sensor network nodes

The follow-up application of underwater wireless sensor network is influenced by accuracy of self-localization of nodes. The self-localization of nodes is discussed in this paper. First of all, nodes of underwater wireless sensor network are classified into several levels according to the accuracy of position of nodes and the levels are from the first to the fifth in accordance with accuracy of nodes from high to low respectively. Secondly, the level of anchor nodes can be known by those unknown nodes from the information given by the anchor nodes themselves, At the same time the unknown nodes are able to be located in the area controlled by the first level of anchor nodes that are as the aggregation. Then the positioning algorithm is designed correspondingly in accordance with the accuracy level of nodes. Finally, the positioning algorithm is simulated and analyzed. The result shows that the unknown nodes can be located effectively by hierarchical control.     

应用主动传感器GreenSeeker估测大豆籽粒产量

主动遥感技术可以方便、快捷、无损伤性地监测大豆生长。以黄淮海地区圣丰种业2011年和2012年大豆育种品系和重组自交家系(NJRIKY)共1272个家系为材料,分组设置试验,分别采用随机区组、重复内分组以及格子设计,重复3次,使用主动传感器GreenSeeker监测苗期、开花期、结荚期和鼓粒期冠层反射光谱,获得冠层归一化植被指数(NDVI),搜索大豆冠层NDVI与产量的共变化规律,建立产量估算模型。结果表明,大豆冠层NDVI随生育期的推进呈"低—高—低"变化趋势;基于单一生育期冠层NDVI建立的产量估测模型大多为简单线性回归,鼓粒期效果最好;基于多生育期冠层NDVI建立的产量估测模型中,由育种家系试验建立的大豆产量最佳估测模型(y=e6.9-4.1x1+4.3x2+1.4x3)的决定系数(R2)可达到0.66;用此模型对NJRIKY估产,与实际产量的符合度可达0.59。所建模型具有一定的预测效果,在规模化育种中可用于育种中期无重复试验的产量预测和初步选择。     

一种具有仿形功能的竹材激光雕刻机的设计

激光加工由于受到激光聚焦后焦点位置的影响,只能加工表面比较平整的材料。具有仿形功能的竹材激光睢刻机利用CCD激光测距传感器和伺服焦距调节机构的激光雕刻机的设计方法,专门针对竹材表面具有尖削度、不圆度、不直度和起伏度缺陷的异形表面材料,用于对竹材表面进行加工。     

旋耕机实时测试传感器的研究设计

设计了一种供旋耕机测力用的延伸八角环传感器.传感器采用应变电测法,通过检测传感器上受到的作用力来确定旋耕阻力.经标定表明,设计的传感器具有良好的线性、较高的灵敏度及较小的滞后现象,各被测参数间的交互影响很小,可以忽略.     

An Overview on Fiberoptic Sensing Technology in Smart Civil Structure

The paper discuss the concept of fiberoptic smart civil structure,and analysis the principle of non destructive evaluation of civil structure with the help of embeded fiberoptic sensor in sensing the inner state and integrity of the structure.The typical experiment and development of fiberoptic sensing system in the health monitoring of dam,highway,bridge and buildings are overriewed.     

Evaluating Method of the Coordination Deformation between Asphalt Mixture and Fiber Bragg Grating Sensor

The study on the coordination deformation between asphalt mixture and Fiber Bragg Grating strain sensor (FBG) is the precondition and foundation to solve the problem of FBG application in pavement. According to the two kinds of FBG developed recently (they were classified into three categories based on the application features), we designed an accuracy evaluation testing method for FBG and asphalt mixture coordination deformation, and conducted the strain test of asphalt mixture by static loading and dynamic loading. The result indicates that using FBG after strain modification to measure the internal stain of the pavement structure is feasible. Compared with other kinds of sensors, module matching FBG has a better test effect, and this kind of FBG is able to reflect the accumulative deformation of asphalt mixture to some extent.