多传感器检测系统的多步反馈融合算法

通过分析分布式检测系统的工作原理 ,提出了一种新的局部检测器融合方法 ,该方法利用检测器局部判决结果与融合中心融合结果的误差多步累积平均值对检测器下一步判决进行修正 ,从而达到提高检测器检测概率的目的。分析表明 ,该算法能有效提高系统的性能。

基于ZigBee技术传感器检测系统设计与实现

介绍了基于ZigBee技术的传感器检测系统的系统构成,成功的组建了传感器虚拟测量平台。本系统通过发送模块发送传感器检测的数据,以ZigBee协议进行无线传输,由接受模块接受发送的数据,再将采集到的数据通过A/D转换经串口送入计算机,然后通过采用虚拟仪器技术的检测系统对数据进行处理分析以及显示等。由于本系统采用无线传输,可应用于环境比较复杂的检测场所及自动控制等领域。

高速场景下一种多传感器多目标检测跟踪系统的评价方法

多源传感器融合感知结果的有效评估是自动驾驶的重要组成部分,对系统性能的优化、迭代和升级具有至关重要的作用。本文系统阐述了典型的多传感器多目标检测和跟踪系统的算法框架,并提出了一种以人工标注的激光雷达数据作为真实值的评估方法。通过该评价方法,使用在高速公路路况下采集的数据,实际评价了一个基于相机和毫米波雷达的检测和跟踪系统,获得了详实的测试数据,证明了该评价方法对于系统的改进具有指导意义。

多传感器信号检测系统的一种局部快速压缩方法

通过分析多传感器检测系统在固定融合规则下最优中心融合问题,研究了在模型为确定信号相关高斯噪声影响下的次最优局部传感器数据压缩问题,提出了一种优化局部迭代决策方法。该方法通过指定一条快速搜索路线,将原有的二维搜索问题转化为单变量的峰值搜索问题,简化了搜索算法,提高了搜索效率,同时保证了迭代精度。仿真结果说明,该方法搜索速度快。

大型工程机械结构力学参数在线检测传感器系统研究

磁测应力技术能够弥补常规应力检测方法的不足,使应力测量更为快速有效。本文从铁磁材料压磁效应角度出发探究大型工程机械结构力学参数在线检测传感器系统的建构。

阻火器性能测试试验系统的研制

阻火器是一种用来阻止易燃气体和易燃液体蒸气火焰蔓延的安全装置,近年来已被广泛应用在石油化工、天然气等工业领域。随着现代社会的发展,人们对于安全问题越来越重视,因此,对于阻火器的性能测试就显得必不可少。由于我国在阻火器型式试验研究方向起步较晚,目前国内尚未有阻火器性能完整的测试系统。为完善阻火器的性能测试,本文开展了阻火器性能测试试验系统的研制工作,以提高我国在这一领域的检测水平。系统能够完成试验所需的爆炸性混合气体的配置工作,气体燃烧爆炸过程中的压力、火焰速度及温度的测试工作,数据的分析处理工作。试验系统包括配气装置、传感器检测系统、数据采集装置。配气装置可以实现静态、动态混合配气的要求。传感器检测系统可完成火焰识别、温度采集、压力采集功能。数据采集装置可对数据进行处理,实时显示实验过程数据,并记录、处理试验数据。测试系统充分考虑了试验现场的安全性,测试精度完全满足阻火器型式试验的要求,且系统操作简单、方便、运行可靠,完成了多次阻爆测试和耐烧测试,其效果达到国家相关标准的要求。

四辊压延机联动线定中纠偏装置的改造设计

介绍四辊压延机联动线定中纠偏装置的改造设计。改造后定中纠偏装置由电动定中执行机构和传感器检测系统两大部分组成,设计新颖、独特。改造后的定中纠偏装置克服了以前液压定中纠偏装置纠偏精度低以及维修清洗工作量大的缺点,性能稳定,操作简单方便。

Design and application of electrical fire monitoring system in mining industry

To protect mining areas from electrical fire, it is very important to install electrical nre momtormg system to ensure safety in development of mineral resources and for buildings. In this paper, design for electrical fire monitoring and detection system with optional sensor modules has been proposed. In addition, necessity and suitability of electrical fire monitoring and detection system with optional sensor modules in mining areas have been reviewed. The designed electrical fire monitoring and detection system suit- able for work environment of mining industry is composed by host-computer monitoring software and slave-computer detectors. Monitoring detectors are manufactured by using embedded technology. Exter- nal shells deployed have superior enclosure performances and explosion-proof properties. It is easy to install and maintain the system. In general, the system has reached, or even exceeded standards specified in national standards for performances and appearances of such devices. Test results show application of electrical fire monitoring and detection system can effectively enhance monitoring intensity over the mining areas and provide reliable guarantee to ensure orderly development of mineral resources and to protect physical and property safety of citizens in these areas.

Rough Outlier Detection Based Security Risk Analysis Methodology

Security is a nonfunctional information system attribute that plays a crucial role in wide sensor network application domains. Security risk can be quantified as the combination of the probability that a sensor network system may fail and the evaluation of the severity of the damage caused by the failure. In this paper, we devise a methodology of Rough Outlier Detection (ROD) for the detection of security-based risk factor, which originates from violations of attack requirements (namely, attack risks). The methodology elaborates dimension reduction method to analyze the attack risk probability from high dimensional and nonlinear data set, and combines it with rough redundancy reduction and the distance measurement of kernel function which is obtained using the ROD. In this way, it is possible to determine the risky scenarios, and the analysis feedback can be used to improve the sensor network system design. We illustrate the methodology in the DARPA case set study using step-by-step approach and then prove that the method is effective in lowering the rate of false alarm.

Low Power Sensor Design for IoT and Mobile Healthcare Applications

This paper reviews recent advances in radar sensor design for low-power healthcare,indoor real-time positioning and other applications of IoT.Various radar front-end architectures and digital processing methods are proposed to improve the detection performance including detection accuracy,detection range and power consumption.While many of the reported designs were prototypes for concept verification,several integrated radar systems have been demonstrated with reliable measured results with demo systems.A performance comparison of latest radar chip designs has been provided to show their features of different architectures.With great development of IoT,short-range low-power radar sensors for healthcare and indoor positioning applications will attract more and more research interests in the near future.

New Monitoring Technologies for Overhead Contact Line at 400 km.h-1

Various technologies have recently been developed for high-speed railways, in order to boost commercial speeds from 300 km.h： to 400 km.h-1. Among these technologies, this paper introduces the 400 km-h-1 class current collection performance evaluation methods that have been developed and demonstrated by Korea. Specifically, this paper reports details of the video-based monitoring techniques that have been adopted to inspect the stability of overhead contact line （OCL） components at 400 km.h-1 without direct contact with any components of the power supply system. Unlike conventional OCL monitoring systems, which detect contact wire positions using either laser sensors or line cameras, the developed system measures parameters in the active state by video data. According to experimental results that were obtained at a field-test site established at a commercial line, it is claimed that the proposed mea- surement system is capable of effectively measuring OCL parameters.

Optically Powered Pressure Sensor with Optical Fiber Link

An optically powered sensor for measuring pressure which is linked by optical fiber is developed in new scheme. Its pulse position modulation (PPM) optical signal and optical supply power for electronics in probe are transmitted via a single optical fiber. The optical power is carried by a 1 300 nm laser diode (LD) and the sensing data are carried by a 850 nm LED. The remote probe uses all CMOS chips and particular modulations (PPM and PWM). Its electrical consumption including signal manipulation and LED driven current from optically converted is less than 100 μW. The laser diode supplies 5 mW optical power into the fiber. A photodetector converts sufficiently this power into electrical power to drive the whole probe operation. The optically powered distance gets up to 500 m. The novel sensor combines optical fiber and electronics technology into a system. Because of using the principle of ratio measurement between measured and reference signals, as well as light feedback,the system is available with high reliable, outstanding accuracy and repeatability.

Research on the Strategy of Underwater United Detection Fusion and Communication Using Multi-sensor

In order to solve the distributed detection fusion problem of underwater target detection, when the signal to noise ratio (SNR) of the acoustic channel is low, a new strategy for united detection fusion and communication using multiple sensors was proposed. The performance of detection fusion was studied and compared based on the Neyman-Pearson principle when the binary phase shift keying (BPSK) and on-off keying (OOK) modes were used by the local sensors. The comparative simulation and analysis between the optimal likelihood ratio test and the proposed strategy was completed, and both the theoretical analysis and simulation indicate that using the proposed new strategy could improve the detection performance effectively. In theory, the proposed strategy of united detection fusion and communication is of great significance to the establishment of an underwater target detection system.

Megabots Team： A Team for the Category Sumo Autonomous 3 kg

This paper deals with a method for building a mobile robot in order to transform the material into a practical guide for beginners in the study of mobile robotics. The project is divided into layers that can define the topics related to the areas of knowledge that will be used in carrying out the project. These areas are the mechanics, electronics and computing system. The mobile robot named Fable was developed accordingly to this method. It is composed by two active wheels, each one driven by DC motor with a high torque and a transmission system containing two spur gears. It has three sonars for detection of the opponent and two infrared sensors to detect a line and an Arduino Uno board is used to control all the actions of the robot.

A Novel 3-D Nano-assembly Bacteria Based Biosensor for Enhanced Detection of Heavy Metal Pollutants

Nowadays, at a time of growing concern for sustainable development and compliance with environmental standards and legislation, the detection of heavy metal contaminants in environmental matrices represents a difficult but important task. The current major limitation lies in the poor detection limits of the targeted pollutant＇s trace concentrations by the available conventional techniques. In order to elaborate a novel ＂living＂ self assembled electrochemical 3-D biosensor, the authors propose a new concept to overcome this shortcoming. The advantages of the properties of polyelectrolyte-functionalized NBs （nanobeads） are combined along with the use of non covalently strongly bound micro-organisms. The designed 3-D biosensor is all the more promising as it has showed a significantly improved sensitivity. In fact, the detection limits of the tested heavy metals （cadmium and mercury） were as low as 1.0 × 10^-12 mol.L-1 and six to seven orders of magnitude lower than those provided by conventional 2-D biosensors. Furthermore, it is potentially applicable to a wide range of bioreceptor-pollutant detection systems.

Generalized Approach to Signal Processing in CollaborativeWireless Sensor Systems for Target Detection

Collaboration in wireless sensor systems must be fault-tolerant due to the harsh environmental conditions at which such systems can be deployed. This paper focuses on finding the signal processing algorithms for collaborative target detection based on the generalized approach to signal processing （GASP） in the presence of noise. The signal processing algorithms are efficient in terms of communication cost, precision, accuracy, and number of faulty sensors tolerable in the wireless sensor systems. Two types of generalized signal processing algorithms, namely, value fusion and decision fusion constructed according to GASP in the presence of noise, are identified first. When comparing their performance and communication overhead, the decision fusion algorithm is found to become superior to the value fusion algorithm as the ratio of faulty sensors to fault free sensors increases. The use of GASP under designing the value and decision fusion algorithms in wireless sensor systems allows us to obtain the same performance, but at low values of signal energy, as well as under employment of the universally adopted signal processing algorithms widely used in practice.

An Experience of On-site PD Testing for Condition Monitoring of an 11 kV PILC Cable Insulation System

A cable circuit of a substation in the United Kingdom showed high level of PD activities during a survey using hand hold PD testing equipment. The authors were invited to carry out on-site PD testing experiment to further diagnose and locate the potential problem of the cable system. This paper presents the experience of the present authors carrying out the cable test. Following a brief introduction to the experiment equipments and physical connections, the paper analyses the data collected from the testing, including PD pulse shape analysis, frequency spectrum analysis and phase resolved PD pattern analysis. Associated with PD propagation direction identification, PD source diagnosis and localisation was made. Four different types of sensors, which were adapted during the testing, are shown to have different frequency bandwidths and performed differently. Aider comparing the parameters of the sensor and the PD signals detected by individual sensor, optimal PD monitoring bandwidth for cable system is suggested.

Relationship between the sensor temperature and moxibustion distance of mild moxibustion

Objective To explore the relationship between the receptor temperature and moxibustion distance of mild moxibustion, and provide evidence for clinical moxibustion distance. Methods Mild moxibustion was carried out for 15min by adopting moxibustion shelf, and the moxibustion ash was shook off automatically for once every 3 min. The distance between moxa stick and temperature sensor was set as 2 cm, 3 cm, 4 cm and 5 cm, respectively, by ruler. The temperature was recorded for once every 2 s with photothermal detection system for moxibustion combustion to form a temperature profile. The initial temperature, maximum temperature and average temperature were observed, and the experimental data were analyzed via SPSS18.0 statistical software. Results The initial receptor temperature was （25.33±0.29） ℃ when the moxibustion distance was 2 cm, （25.29±0.05） ℃ when the moxibustion distance was 3 cm, （25.43±0.17） ℃ when the moxibustion distance was 4cm, and （25.16±0.22） ℃ when the moxibustion distance was 5 cm, respectively. The maximum temperature was （74.96±1.20） ℃ when the moxibustion distance was 2 cm, （51.70±0.74） ℃ when the moxibustion distance was 3 cm, （49.33±0.40） ℃ when the moxibustion distance was 4 cm, and （42.50±0.26） ℃ when the moxibustion distance was 5 cm, respectively. The average temperature was （62.40±7.84） ℃-（62.68±7.58） ℃ when the moxibustion distance was 2 cm, （44.77±3.31） ℃-（45.11±3.21） ℃ when the moxibustion distance was 3 cm, （42.72＋3.86） ℃-（43.12±3.54） ℃ when the moxibust-ion distance was 4 cm, and （38.45±1.67） ℃-（38.50±1.63） ℃ when the moxibustion distance was 5 cm, respectively. The temperature curve showed that the fluctuation range was the maximum when the moxibustion distance was 2 cm, larger when the moxibustion distance was 3 cm, smaller when the moxibustion distance was 4 cm, and minimum when the moxibustion distance was 5 cmo There was no significant difference in the initial temperature of mild moxibustion at different distances, however, the maximum temperature, average temperature and the fluctuation range of temperature curve were closely related to the moxibustion distance. Conclusion The nearer the distance is, the higher the maximum temperature and average temperature as well as the larger the fluctuation range will be, and the farther the distance is, the lower the maximum temperature and average temperature as well as the smaller the fluctuation range will be. Accordin8 to preliminary analysis, the temperature will be the most suitable when the moxibust-ion distance is 3 cm-4 cm.

Fiber Bragg Grating （FBG） Sensors Used in Coal Mines

The fiber Bragg grating （FBG） strain sensors were used for on-line monitoring of the stress variation of the lined wall in the gateway retained along the goaf of No. 3203 coal mining face in Dongtan Mine. The results showed that the FBG strain sensor with the wide measuring range could measure the stress variation accurately during the support process of the gateway retained along the goaf and could provide the basis to further optimize the support structure and to determine the support plan of the gateway retained along the goaf. The FBG micro-seismic sensors were used in Xinglong Mine to detect the micro-seismic signal. The signals were well received and analyzed to determine the location and energy level of the source of the micro-seismic event warning. The FBG sensors and detecting system show a significant potential for micro-seismic detection and geological disasters detection.