Blind estimation of number of motion multi-human targets in wireless pyroelectric infrared sensor networks

Due to the features of low energy consumption and flexible networking, nowadays the pyroelectric sensor has been applied widely in areas such as network instruction detection or human body target tracking recognition. Moreover, accurate estimation and judgment about the number of human targets moving in the networks is the foundation of tracking and recognition. This paper, under the condition of being lack of relevant prior knowledge, presents a novel method which selects the maximum likelihood function of the Bayesian network models as the independent criterion. In addition, the objective function is optimally solved by the Laplace estimation. The results of numerous experiments on both simulation and hardware experimental platforms are shown that this method has capability to blindly estimate the number of motion multiple human targets in wireless pyroelectric infrared sensor networks.     

基于热释电红外传感器的多节点定位系统研究与设计

针对热释电红外传感器(PIR)在人体探测领域中越来越广泛的应用,研究设计了一种基于PIR的检测定位系统,可实时完成对人员目标入侵探测区域时的检测与定位,并预推出人员目标的行进轨迹;该系统由多个PIR感知节点组成,每个感知节点通过传感在动、静两种状态下对探测区域进行信息采集;最终融合多节点与不同状态下传感器采集的数据,算出各个传感器的探测角度值,以交叉定位的算法,得到目标的定位坐标;经实验证明,该系统运行稳定,检测灵敏,定位效果很好,拓宽了热释电传感器在定位定向方面的使用范围。     

多尺度传感网络失效节点检测系统设计

对多尺度传感网络中的失效节点进行准确检测与定位,实现故障节点的高效检测,保障传感网络的可靠运行。提出一种基于多传感器量化融合跟踪滤波检测的失效节点检测算法,并进行检测系统优化设计。构建多尺度传感网络的节点分布实体对象模型,进行失效节点检测系统总体设计和技术指标分析。设计基于多传感器量化融合跟踪滤波检测的失效节点检测算法。进行系统的硬件设计,包括A/D模块设计、时钟电路设计、程序加载电路设计、传感器通信模块设计和系统电源模块设计。在ARM Cortex?-M0平台上进行检测系统软件开发。系统仿真结果表明,该系统进行多尺度传感网络失效节点检测的准确度较高,提高了传感器网络的寿命周期。     

强度型激光光纤传感系统的神经网络补偿方法

提出一种考虑激光光纤传感系统中的激光器输出功率波动的神经网络跟踪补偿方法。在这种方法中，神经网络不仅用于削弱激光器输出功率波动对测量系统的影响，而且还同时用于传感非线性校正。提高了光强调制型光纤传感器的长期工作稳定性及测量精度，并有利于扩大激光光纤测量系统的测量范围。以光纤位移传感器为例，说明了该方法的有效性。     

基于副载波调频技术的光纤光栅传感网络查询

分析了副载波调频技术用于光纤光栅阵列查询的基本原理。从理论上推算了系统的查询空间分辨率及查询范围,并结合波分复用技术进行了光纤光栅传感网络的地址查询演示实验,同时使用可调谐滤波器对每个光栅信号进行了解调。实验结果很好地说明了该查询方案的可行性,且在单个光栅上的被测应变与可调谐滤波器的控制电压呈较好的线性关系。该系统具备有查询由几百个FBG组成的传感网络的潜在能力。     

Low-Temperature Radiometric Measurements Using a Silver Halide Optical Fiber and Infrared Optical Devices

In this study, we measured an infrared radiation which is transferred by a silver halide optical fiber from a heat source using a radiometer system for low-temperature measurements. To increase the amount of infrared radiation through the silver halide optical fiber and to the pyroelectric sensor, infrared optical devices used were an infrared focusing lens and a collimator. The relationship between the temperatures of a heat source and the measured radiometer signals were determined. The measurable temperature range of a fiber-optic temperature sensor using a pyroelectric sensor was from 298 to 333 K. It is expected that a noncontact low-temperature sensor using an infrared optical fiber can be developed for medical and industrial usages based on the results of this study.     

基于F-P腔和FBG的强度调制型光纤液位传感器

设计了一种用于液位测量的光纤F-P(Fabry-Perot)传感器,并从传感头的设计制作出发,讨论了提高传感器输出信号对比度的方法;测量系统采用宽带光源,解调时经FBG(Fiber Bragg Grating)反射和透射得到传感信号和参考信号,对两路光强信号进行联合处理,补偿了光源功率波动和光路损耗变化引起的不良影响,消除了强度调制型传感器的固有缺点,此方法具有结构简单、成本低的优点;该系统可进行连续测量,测量范围为0到200kPa,相当于测量水深0到20m,其分辨力小于1cm(水面高度变化),特别适合对易燃易爆的环境中的油库液位进行测量。     

热释电红外探测器在安全防护系统中的应用研究

利用人体发出的红外线,通过热释电红外传感器的接收和放大,形成具有一定电压幅度的控制信号,用这一控制信号去触发语音录放电路工作,就可制成具有自动控制功能的热释电红外探测语音录放系统。电路采用最新热释电红外探测模块与语音录放模块设计,当有人出现在热释电红外探测模块的探测范围时,热释电红外传感器首先将接收到的红外辐射能转换成电能信号,再经内部电路放大、比较处理后输出控制信号,触发语音录放模块工作,播放事先录制好的语音内容,提醒人们注意。该系统电路简洁、成本低、抗干扰能力强、耐低温、免调试、工作稳定和使用方便。适宜于安装在变电所、高压开关柜和电力变压器等危及人身安全的处所使用。     

A mid-infrared carbon monoxide sensor system using wideband absorption spectroscopy and a single-reflection spherical optical chamber

A mid-infrared carbon monoxide (CO) sensor system based on a dual-channel differential detection method was developed using a broadband light source in the 4.60 µm wavelength region and a single-reflection spherical optical chamber with ∼0.373 m absorption path length. CO detection was realized by targeting the wideband strong absorption lines within 4.55–4.65 µm. A dual-channel pyroelectric detector as well as a self-developed digital signal processor (DSP) based orthogonal lock-in amplifier was employed to process CO sensing signal. A minimum detection limit of ∼0.5 ppm in volume (ppmv) was achieved with a measurement time of 6 s, based on an Allan deviation analysis of the sensor system. The response time (1000 → 0 ppmv) was determined to be ∼7 s for the CO sensor operation. Due to the characteristics of low detection limit, fast response time and high cost performance, the proposed sensor has relatively good prospect in coal-mining operation.     

新型智能球罐焊接机器人视觉传感器的研究

为实现智能球罐焊接机器人的自主运动与焊缝自动跟踪 ,研制了一种新型视觉传感器。该传感器以高分辨率线阵 CCD芯片为核心 ,由光源、滤光片、透镜等光学系统及 CCD驱动电路、光电信号处理电路等组成 ,其中光电处理电路全部由硬件实现。整个视觉传感系统可以避免焊接时弧光的干扰 ,实时、准确地检测出焊缝轨迹线偏差信号 ,具有实时性强、鲁棒性好、成本低、重量轻等优点。借助所研制的视觉传感器 ,球罐焊接机器人能够实现沿焊缝的自主运动和焊炬与焊缝的自动对中 ,满足球罐多层多道焊接工艺要求 ,实现球罐焊接作业的智能化、自动化     

Sniffing lung cancer related biomarkers using an oxidized graphene SAW sensor

Decane is one of the volatile organic compounds (VOCs) in human breath. Successful detection of decane in human breath has vast prospects for early lung cancer diagnosis. In this paper, a novel detecting device based on a filter surface acoustic wave (SAW) gas sensor is presented. SAW sensors coated with a thin oxidized graphene film were used to detect decane in parts per million (ppm) concentrations. Control and signal detection circuits were designed using a vector network analyzer with a detection resolution of insertion loss down to 0.0001 dB. The results showed that the SAW sensor could respond quickly with great sensitivity when exposed to 0.2 ppm decane. This device shows tremendous potential in medical diagnosis and environmental assessment.     

光纤光栅传感信号解调技术研究进展

光纤光栅传感器是一种新型传感器,有着非常广泛的应用前景。限制光纤光栅传感器大量实际应用的主要障碍是传感信号解调,因而,光纤光栅传感信号解调是光纤光栅传感器应用的关键技术之一。本文对现有已报道的光纤光栅传感信号的解调方法进行综述,并归类为:边缘滤波法、匹配滤波法、可调谐滤波法、光源波长可调谐扫描法、射频探测法、光栅啁啾法、CCD分光仪法、干涉法。对各种方法的原理及相关改进方法进行了阐述,并对其优缺点做了比较分析,最后,对光纤光栅传感信号的解调技术发展进行了展望。     

On the heating modulation frequency dependence of the photopyroelectric signal in experiments for liquid thermal characterization

A pyroelectric sensor can be seen as a layered system consisted on a pyroelectric material sandwiched between two thin metal layers acting as electrical contacts for measurements of the voltage drop that can be induced by heating. This kind of sensor can be used as a detector of electromagnetic radiation but also for thermal characterization of materials using the photopyroelectric technique. In this work we perform a theoretical analysis based in the so-called thermal wave approach to show that, when this sensor is heated periodically by the absorption of intensity modulated light by one of the metalized surfaces, while the other metal surface is in contact with a liquid sample, the resulting pyroelectric voltage signal amplitude enhances respecting the one resulting from the bare sensor, for certain values of the modulation frequency. This contradicts the intuitively expectation based in the assumption that the sample provides a new channel for heat conduction, thereby decreasing the pyroelectric temperature. We will show that the back and forth propagation and the superposition of thermal waves through the metal coatings must be taken into account in order to explain the observed behavior. The proposed model was experimentally tested for water and glycerin samples, and using a polyvinylidene difluoride (PVDF) polymer film, with Ni–Cu metal electrodes, as a pyroelectric sensor.     

Multi-rate sensor fusion-based adaptive discrete finite-time synergetic control for flexible-joint mechanical systems

This paper proposes an adaptive discrete finite-time synergetic control （ADFTSC） scheme based on a multi-rate sensor fusion estimator for flexible-joint mechanical systems in the presence of unmeasured states and dynamic uncertainties. Multi-rate sensors are employed to observe the system states which cannot be directly obtained by encoders due to the existence of joint flexibilities. By using an extended Kalman filter （EKF）, the finite-time synergetic controller is designed based on a sensor fusion estimator which estimates states and parameters of the mechanical system with multi-rate measurements. The proposed controller can guarantee the finite-time convergence of tracking errors by the theoretical derivation. Simulation and experimental studies are included to validate the effectiveness of the proposed approach.     

热释电红外传感器在无线遥控报警系统中的应用

热释电红外探测无线遥控报警系统由热释电红外探测模块、无线电收/发射模块、数字编/译码集成电路和语音录放模块组成。当人体进入监视区时,红外传感器首先将接收到的红外辐射能转换成电能信号,再经内部电路放大处理,输出控制信号启动发射系统工作,经编码脉冲调制后, 由发射模块向空间辐射无线电遥控编码信号;接收机收到信号后,便进行解调、放大、整形,从解码器输出编码脉冲,然后触发语音录放系统,播放事先录制好的警示语,提醒值班人员。该系统主要采用了RDP-18热释电红外探测模块,具有从信号接收至控制输出的全部功能。整体装置为模块化结构,具有频率稳定、工作可靠、免调试等特点,遥控距离1 000 m,可适用于多种场合的需要。     

机械抖动激光陀螺新型信号处理方法的研究

针对高速采样低通滤波的线性脉冲响应(FIR)滤波器在机械抖动激光陀螺(MDRLG)信号处理中存在着较大的时延,限制MDRLG在快速跟踪中的应用,基于相关滤波技术提出了一种新的信号处理方法。对这一方法的基本理论进行了分析,并基于Labview实现了仿真。相关滤波后,激光陀螺输出中的抖动信号衰减了约41dB,还不能达到激光陀螺应用的要求,可以适当加一低阶的FIR低通滤波器去除抖动剥除后剩余的抖动成分和高频噪声。在静态条件下用这三种信号处理方法分别对激光陀螺零偏进行了测试。相关滤波法所测得零偏稳定性(1σ00)比50阶FIR滤波器差了将近三倍,相关滤波后再经过22阶的FIR低通滤波测得的零偏稳定性比50阶FIR低通滤波器的测试结果大了不足0.001°/h,延迟时间却从4.9ms减小至2.1ms。     

动态匹配光栅解调方法波长读出优化研究

提出了采用一支价格低廉的微测力传感器作为匹配光栅解调系统的波长读出单元,不同于以往动态匹配光栅解调法采用拉伸匹配光栅的PZT驱动电压作为解调系统波长读出单元.当匹配光栅和传感光栅布喇格中心波长重叠时,光电探测器将接收到最大光信号.利用光纤光栅轴向受力和反射波长漂移的数学关系得到光纤光栅传感器的波长漂移.该解调系统解决了传统动态匹配解调系统中PZT本身特性对系统的影响,探测到的光纤光栅传感器反射波长和匹配光栅轴向受力大小具有很好的线性,系统线性大于0.999.本系统对于探测布喇格传感器应变分辩率达到1 με以下.     

基于无线传感器网络及GPRS的水质监测系统设计

提出了一种基于ZigBee无线传感器网络和GPRS技术的多参数远程实时水质监测系统。无线传感器网络以CC2430通信模块为核心。传感器节点采集到的数据经路由节点汇总至协调器节点,通过GPRS模块及时远传至监控中心。设计信号调理电路,将传感器电极输出的微弱电信号进行放大、滤波。采用时间同步机制实现网络节点的同步唤醒,大幅提高网络的稳定性。对系统进行了多天连续测试。通信距离为100米时,网络的平均丢包率低于1%。pH值、溶氧度的平均相对偏差低于1%。测试结果表明,系统具有灵活、实时性好、准确性高、稳定可靠等优点,具有很强的实用价值。     

An enhanced RSS-distance-angle weighted geometric filter for device-free localization

Device-free localization and tracking as an emerging technology has attracted substantial research attention in wireless sensor networks. However, there is much room for improvement in localization and tracking accuracy. In this paper, by using received signal strength (RSS) measurements we propose an enhanced geometric filter which consists of a series of weights corresponding to RSS, distance, and angle, respectively. Specifically, RSS-based weights are dependent on the change in RSS of communication links to remove improbable target locations. To ensure robust tracking performance, distance-based weights are assigned to probable target locations. Angle-based weights are used to ensure the correct direction of motion. Experimental results demonstrate that the proposed geometric filter could improve the accuracy of positioning by up to 50.8% for non-straight path and 48.3% for straight path over some state-of-the-art methods.