光纤传感的后起之秀——分布式传感

随着对光纤中非线性效应研究的不断深入,光纤分布式传感器得到了广泛的研究和应用.本文介绍了光纤传感的应用领域,综述了基于布里渊散射、拉曼散射及瑞利散射3种散射光实现不同类型光纤分布式传感的原理,最后从光纤分布式传感优势方面对其未来发展方向进行了展望.     

现代变形监测技术的发展现状与展望

本文对现代变形监测技术从空间、地面、地下三个方面的最新发展入手,综述了各技术目前的应用现状,客观分析了测量机器人、GPS、三维激光扫描、光纤传感器、D-InSAR等技术在变形监测领域应用的特点、优势与不足。提出了随着现代通讯网络技术和G IS技术的发展,变形监测将逐步实现数据获取的自动化,监测设备多层次的集优化,变形数据分析与预警的信息化。     

磁电传感器在数字摄影测量工作站中的应用

目前国内各大测绘单位的航测内业成图软件大多数选用了全数字摄影测量工作站。磁电传感器应用于该工作站的脚踏开关系统,与以往的机械式脚踏开关系统相比,大大提高了数据采集的响应频率,成功地解决了数据采集过程中的重复采集,连点采集,漏采数据的问题。直接减轻了作业员,检验员,硬件维修人员工作量,从而大大提高了作业的效率。磁电传感器是一种非接触式传感器,它具有无触点、无开关瞬态抖动、响应频率高、低功耗、高可靠性和长寿命等特点。本文通过分析霍尔传感器件的原理,结合数字摄影测量工作站硬件设备的相关电路,给出了把霍尔传感器应用到数字摄影测量工作站脚踏开关系统中的具体方法。     

FZF2—3型海洋资料浮标传感器系统

本文介绍了ＦＺＦ２－３型海洋资源浮标系统中各种传感器的技术性能指标、工作原理、构造特性及在海洋浮标系统中进行海洋监测工作中的应用情况。     

Photogrammetric Capabilities of the Kodak DC40, DCS420 and DCS460 Digital Cameras

The aim of this study is to assess the impact of sensor size and resolution of different digital camera sensors upon the accuracy and precision of three dimensional data derived by photogrammetry. Kodak DC40, DCS420 and DCS460 digital cameras were used to produce digital images of retroreflective targets in a 4 m three dimensional test field. The image locations of the targeted points were automatically measured using an off the shelf image processing software package. Two different sub-pixel measurement approaches were examined: centre of gravity and weighted mean. From the automated sub-pixel measurement of the targeted points, results indicate that the high resolution DCS460 camera produces optimum results using either the weighted mean or centre of gravity approaches. Although this was perhaps expected, the far lower resolution DC40 camera performed better than was originally anticipated, suggesting potential for the cheaper DC40 for many applications.     

Robust dual‐sensor data sea‐surface ghost attenuation for quality control purposes

Three‐dimensional receiver ghost attenuation (deghosting) of dual‐sensor towed‐streamer data is straightforward, in principle. In its simplest form, it requires applying a three‐dimensional frequency–wavenumber filter to the vertical component of the particle motion data to correct for the amplitude reduction on the vertical component of non‐normal incidence plane waves before combining with the pressure data. More elaborate techniques use three‐dimensional filters to both components before summation, for example, for ghost wavelet dephasing and mitigation of noise of different strengths on the individual components in optimum deghosting. The problem with all these techniques is, of course, that it is usually impossible to transform the data into the crossline wavenumber domain because of aliasing. Hence, usually, a two‐dimensional version of deghosting is applied to the data in the frequency–inline wavenumber domain. We investigate going down the “dimensionality ladder” one more step to a one‐dimensional weighted summation of the records of the collocated sensors to create an approximate deghosting procedure. We specifically consider amplitude‐balancing weights computed via a standard automatic gain control before summation, reminiscent of a diversity stack of the dual‐sensor recordings. This technique is independent of the actual streamer depth and insensitive to variations in the sea‐surface reflection coefficient. The automatic gain control weights serve two purposes: (i) to approximately correct for the geometric amplitude loss of the Z data and (ii) to mitigate noise strength variations on the two components. Here, Z denotes the vertical component of the velocity of particle motion scaled by the seismic impedance of the near‐sensor water volume. The weights are time‐varying and can also be made frequency‐band dependent, adapting better to frequency variations of the noise. The investigated process is a very robust, almost fully hands‐off, approximate three‐dimensional deghosting step for dual‐sensor data, requiring no spatial filtering and no explicit estimates of noise power. We argue that this technique performs well in terms of ghost attenuation (albeit, not exact ghost removal) and balancing the signal‐to‐noise ratio in the output data. For instances where full three‐dimensional receiver deghosting is the final product, the proposed technique is appropriate for efficient quality control of the data acquired and in aiding the parameterisation of the subsequent deghosting processing.     

Monitoring litter interception of rainfall using leaf wetness sensor under controlled and field conditions

Leaf litter interception of water is an integral component of the water budget for some vegetated ecosystems. However, loss of rainfall to litter receives considerably less attention than canopy interception due to lack of suitable sensors to measure changes in litter water content. In this study, a commercially available leaf wetness sensor was calibrated to the gravimetric water content of eastern redcedar (Juniperus virginiana ) litter and used to estimate litter interception in a subhumid eastern redcedar woodland in north‐central Oklahoma. Under controlled laboratory conditions, a strong positive correlation between the leaf wetness sensor output voltage (mV) and measured gravimetric litter water content (? _g) was determined: ? _g = (.0009 × mV²) ? (0.14 × mV) ? 11.41 (R ² = .94, p  < .0001). This relationship was validated with field sampling and the output voltage (mV) accounted for 48% of the observed variance in the measured water content. The maximum and minimum interception storage capacity ranged between 1.16 and 12.04 and 1.12 and 9.62 mm, respectively. The maximum and minimum amount of intercepted rain was positively correlated to rainfall amount and intensity. The continuous field measurements demonstrated that eastern redcedar litter intercepted approximately 8% of the gross rainfall that fell between December 16, 2014 and May 31, 2015. Therefore, rainfall loss to litter can constitute a substantial component of the annual water budget. Long‐term in situ measurement of litter interception loss is necessary to gain a better estimate of water availability for streamflow and recharge. This is critical to manage water resources in the south‐central Great Plains, USA where grasslands are rapidly being transformed to woodland or woody dominated savanna.     

RESEARCH ON PASSIVE SERVO SEISMIC ROTATIONAL ACCELERATION SENSOR WITH LARGE DAMPING

Many strong motion records show that under the strong seismic vibration of, the torsional disfigurement of building structures is a common and serious damage. At present, there are no special sensors for measuring seismic rotation in the world. Most of the experts obtain rotational components through observing deformation, theoretical analysis and calculation. The theory of elastic wave and source dynamics also prove the conclusion that the surface of the earth will rotate when an earthquake occurs. Based on a large number of investigations and experiments, a rotational acceleration sensor was developed for the observation of the rotational component of strong ground motions. This acceleration sensor is a double-pendulum passive servo large-damped seismic rotational acceleration sensor with the moving coil transducer. When an earthquake occurs, the seismic rotational acceleration acts on the bottom plate at the same time. The magnetic circuit system and the middle shaft fixedly connected to the bottom plate follow the bottom plate synchronous vibration, and the moving part composed of the mass ring, the swing frame and the moving ring produces relative corners to the central axis. The two working coils mounted on the two pendulums produce the same relative motion with respect to the magnetic gaps of the two magnetic circuits. Both working coils at this time generate an induced electromotive force by cutting magnetic lines of force in the respective magnetic gaps. The generated electromotive forces are respectively input to respective passive servo large damper dynamic ring transducer circuits and angular acceleration adjusting circuits, and the signals are simultaneously input to the synthesizing circuit after conditioning. Finally, the composite circuit outputs a voltage signal proportional to the seismic rotational acceleration to form a seismic rotational acceleration sensor. The paper presents the basic principles of the rotational acceleration sensor, including its mechanical structure diagram, circuit schematic diagram and mathematical models. The differential equation of motion and its circuit equation are derived to obtain the expressions of the main technical specifications, such as the damping ratio and sensitivity. The calculation shows that when the damping ratio is much larger than 1, the output voltage of the passive servo large damping dynamic coil transducer circuit is proportional to the ground rotation acceleration, and the frequency characteristic of bandpass is wider when the damping ratio is larger. Based on the calibration test, the dynamic range is greater than or equal to 100dB and the linearity error is less than 0.05%. The amplitude-frequency characteristics, the phase-frequency characteristics and their corresponding curves of the passive servo rotational acceleration sensor are acquired through the calculations. Based on the accurate measurement of the micro-vibration of the precision rotating vibration equipment, the desired result is obtained. The measured data are presented in the paper, which verify the correctness of the calculation result. The passive servo large damping rotational acceleration sensor has simple circuit design, convenient operation and high resolution, and can be widely applied to seismic acceleration measurement of earthquake or structure.     

基于ECR与ECI星历数据的遥感影像定位

经典的共线方程中物方坐标系建立在地球表面,在航天摄影测量中,地面摄影测量坐标系的应用,增加了不同类型测量数据间联合处理的难度,限制了影像数据摄影测量处理的空间范围。本文介绍了基于视线方向的影像对地定位算法原理,并以此为基础建立了地心系下的航天影像摄影测量共线方程。针对地固地心系和空固地心系下星历数据的不同点,建立了基于两种地心系下星历数据的航天遥感影像定位严密模型,并对两种模型中偏流角处理的不同点进行了分析,最后给出了一个应用试验。     

丽江高美古的二期选址--望远镜地面高度的确定

在丽江高美古前期选址工作的基础上[1～2],二期选址的望远镜地面高度的确定工作于2000年11月3日至2000年12月16日进行,采用30m铁塔的温度脉动测量装置,对6#选址观测点的近地面大气湍流进行反复多次测量,得到近地面不同高度(4～30m和8～22m)上每夜温度结构系数C2T的平均值,对观测取得的资料作进一步处理和分析,得到高美古6#观测点的望远镜地面高度为13～15m。