红外传感器毕业设计外文翻译

《红外传感器毕业设计外文翻译》由会员分享，可在线阅读，更多相关《红外传感器毕业设计外文翻译（8页珍藏版）》请在装配图网上搜索。

1、外文资料Moving Object Counting with an Infrared Sensor Network By KI, Chi Keung Abstract Wireless Sensor Network (WSN) has become a hot research topic recently. Great benefit can be gained through the deployment of the WSN over a wide range of applications, covering the domains of commercial, military a

2、s well as residential. In this project, we design a counting system which tracks people who pass through a detecting zone as well as the corresponding moving directions. Such a system can be deployed in traffic control, resource management, and human flow control. Our design is based on our self-mad

3、e cost-effective Infrared Sensing Module board which co-operates with a WSN. The design of our system includes Infrared Sensing Module design, sensor clustering, node communication, system architecture and deployment. We conduct a series of experiments to evaluate the system performance which demons

4、trates the efficiency of our Moving Object Counting system. Keywords: Infrared radiation，Wireless Sensor Node1.1 Introduction to Infrared Infrared radiation is a part of the electromagnetic radiation with a wavelength lying between visible light and radio waves. Infrared have be widely used nowadays

5、 including data communications, night vision, object tracking and so on. People commonly use infrared in data communication, since it is easily generated and only suffers little from electromagnetic interference. Take the TV remote control as an example, which can be found in everyones home. The inf

6、rared remote control systems use infrared light-emitting diodes (LEDs) to send out an IR (infrared) signal when the button is pushed. A different pattern of pulses indicates the corresponding button being pushed. To allow the control of multiple appliances such as a TV, VCR, and cable box, without i

7、nterference, systems generally have a preamble and an address to synchronize the receiver and identify the source and location of the infrared signal. To encode the data, systems generally vary the width of the pulses (pulse-width modulation) or the width of the spaces between the pulses (pulse spac

8、e modulation). Another popular system, bi-phase encoding, uses signal transitions to convey information. Each pulse is actually a burst of IR at the carrier frequency. A high means a burst of IR energy at the carrier frequency and a low represents an absence of IR energy. There is no encoding standa

9、rd. However, while a great many home entertainment devices use their own proprietary encoding schemes, some quasi-standards do exist. These include RC-5, RC-6, and REC-80. In addition, many manufacturers, such as NEC, have also established their own standards. Wireless Sensor Network (WSN) has becom

10、e a hot research topic recently. Great benefit can be gained through the deployment of the WSN over a wide range of applications, covering the domains of commercial, military as well as residential. In this project, we design a counting system which tracks people who pass through a detecting zone as

11、 well as the corresponding moving directions. Such a system can be deployed in traffic control, resource management, and human flow control. Our design is based on our self-made cost-effective Infrared Sensing Module board which co-operates with a WSN. The design of our system includes Infrared Sens

12、ing Module design, sensor clustering, node communication, system architecture and deployment. We conduct a series of experiments to evaluate the system performance which demonstrates the efficiency of our Moving Object Counting system. 1.2 Wireless sensor network Wireless sensor network (WSN) is a w

13、ireless network which consists of a vast number of autonomous sensor nodes using sensors to monitor physical or environmental conditions, such as temperature, acoustics, vibration, pressure, motion or pollutants, at different locations. Each node in a sensor network is typically equipped with a wire

14、less communications device, a small microcontroller, one or more sensors, and an energy source, usually a battery. The size of a single sensor node can be as large as a shoebox and can be as small as the size of a grain of dust, depending on different applications. The cost of sensor nodes is simila

15、rly variable, ranging from hundreds of dollars to a few cents, depending on the size of the sensor network and the complexity requirement of the individual sensor nodes. The size and cost are constrained by sensor nodes, therefore, have result in corresponding limitations on available inputs such as

16、 energy, memory, computational speed and bandwidth. The development of wireless sensor networks (WSN) was originally motivated by military applications such as battlefield surveillance. Due to the advancement in micro-electronic mechanical system technology (MEMS), embedded microprocessors, and wire

17、less networking, the WSN can be benefited in many civilian application areas, including habitat monitoring, healthcare applications, and home automation. 1.3 Types of Wireless Sensor Networks Wireless sensor network nodes are typically less complex than general-purpose operating systems both because

18、 of the special requirements of sensor network applications and the resource constraints in sensor network hardware platforms. The operating system does not need to include support for user interfaces. Furthermore, the resource constraints in terms of memory and memory mapping hardware support make

19、mechanisms such as virtual memory either unnecessary or impossible to implement. TinyOS TinyOS is possibly the first operating system specifically designed for wireless sensor networks. Unlike most other operating systems, TinyOS is based on an event-driven programming model instead of multithreadin

20、g. TinyOS programs are composed into event handlers and tasks with run to completion-semantics. When an external event occurs, such as an incoming data packet or a sensor reading, TinyOS calls the appropriate event handler to handle the event. The TinyOS system and programs are both written in a spe

21、cial programming language called nesC nesC which is an extension to the C programming language. NesC is designed to detect race conditions between tasks and event handlers. There are also operating systems that allow programming in C. Examples of such operating systems include Contiki Contiki, and M

22、ANTIS. Contiki is designed to support loading modules over the network and supports run-time loading of standard ELF files. The Contiki kernel is event-driven, like TinyOS, but the system supports multithreading on a per-application basis. Unlike the event-driven Contiki kernel, the MANTIS kernel is

23、 based on preemptive multithreading. With preemptive multithreading, applications do not need to explicitly yield the microprocessor to other processes. 1.4 Introduction to Wireless Sensor Node A sensor node, also known as a mote, is a node in a wireless sensor network that is capable of performing

24、processing, gathering sensory information and communicating with other connected nodes in the network. Sensor node should be in small size, consuming extremely low energy, autonomous and operate unattended, and adaptive to the environment. As wireless sensor nodes are micro-electronic sensor device,

25、 they can only be equipped with a limited power source. The main components of a sensor node include sensors, microcontroller, transceiver, and power source. Sensors are hardware devices that can produce measurable response to a change in a physical condition such as light density and sound density.

26、 The continuous analog signal collected by the sensors is digitized by Analog-to-Digital converter. The digitized signal is then passed to controllers for further processing. Most of the theoretical work on WSNs considers Passive and Omni directional sensors. Passive and Omni directional sensors sen

27、se the data without actually manipulating the environment with active probing, while no notion of “direction” involved in these measurements. Commonly people deploy sensor for detecting heat (e.g. thermal sensor), light (e.g. infrared sensor), ultra sound (e.g. ultrasonic sensor), or electromagnetis

28、m (e.g. magnetic sensor). In practice, a sensor node can equip with more than one sensor. Microcontroller performs tasks, processes data and controls the operations of other components in the sensor node. The sensor node is responsible for the signal processing upon the detection of the physical eve

29、nts as needed or on demand. It handles the interruption from the transceiver. In addition, it deals with the internal behavior, such as application-specific computation. The function of both transmitter and receiver are combined into a single device know as transceivers that are used in sensor nodes

30、. Transceivers allow a sensor node to exchange information between the neighboring sensors and the sink node (a central receiver). The operational states of a transceiver are Transmit, Receive, Idle and Sleep. Power is stored either in the batteries or the capacitors. Batteries are the main source o

31、f power supply for the sensor nodes. Two types of batteries used are chargeable and non-rechargeable. They are also classified according to electrochemical material used for electrode such as NiCd(nickel-cadmium), NiZn(nickel-zinc), Nimh(nickel metal hydride), and Lithium-Ion. Current sensors are de

32、veloped which are able to renew their energy from solar to vibration energy. Two major power saving policies used are Dynamic Power Management (DPM) and Dynamic Voltage Scaling (DVS). DPM takes care of shutting down parts of sensor node which are not currently used or active. DVS scheme varies the p

33、ower levels depending on the non-deterministic workload. By varying the voltage along with the frequency, it is possible to obtain quadratic reduction in power consumption. 1.5 Challenges The major challenges in the design and implementation of the wireless sensor network are mainly the energy limit

34、ation, hardware limitation and the area of coverage. Energy is the scarcest resource of WSN nodes, and it determines the lifetime of WSNs. WSNs are meant to be deployed in large numbers in various environments, including remote and hostile regions, with ad-hoc communications as key. For this reason,

35、 algorithms and protocols need to be lifetime maximization, robustness and fault tolerance and self-configuration. The challenge in hardware is to produce low cost and tiny sensor nodes. With respect to these objectives, current sensor nodes usually have limited computational capability and memory s

36、pace. Consequently, the application software and algorithms in WSN should be well-optimized and condensed. In order to maximize the coverage area with a high stability and robustness of each signal node, multi-hop communication with low power consumption is preferred. Furthermore, to deal with the l

37、arge network size, the designed protocol for a large scale WSN must be distributed. 1.6 Research Issues Researchers are interested in various areas of wireless sensor network, which include the design, implementation, and operation. These include hardware, software and middleware, which means primit

38、ives between the software and the hardware. As the WSNs are generally deployed in the resources-constrained environments with battery operated node, the researchers are mainly focus on the issues of energy optimization, coverage areas improvement, errors reduction, sensor network application, data s

39、ecurity, sensor node mobility, and data packet routing algorithm among the sensors. In literature, a large group of researchers devoted a great amount of effort in the WSN. They focused in various areas, including physical property, sensor training, security through intelligent node cooperation, med

40、ium access, sensor coverage with random and deterministic placement, object locating and tracking, sensor location determination, addressing, energy efficient broadcasting and active scheduling, energy conserved routing, connectivity, data dissemination and gathering, sensor centric quality of routi

41、ng, topology control and maintenance, etc. 中文译文移动目标点数与红外传感器网络作者 KI, Chi Keung 摘要 无线传感器网络(WSN)已成为最近的一个研究热点。伟大的效益通过部署的无线传感器网络在大范围的应用的领域,覆盖了商业、军事以及住宅。在这个项目,我们设计了一个计数系统,以追踪那些经过检测区以及相应的移动方向。这样的一个系统部署在交通控制、资源管理和人力的流量控制。我们的设计是基于我们的自制划算的红外传感模块板用无线传感器网络的联系。我们的系统的设计包括红外传感模块设计、传感器节点通讯、系统聚类、建筑和部署。我们进行了一系列的实验来评估

42、系统的性能论证了高效率的移动对象计数系统。关键词:红外辐射，无线传感器节点1.1介绍红外 红外辐射,是一个部分的电磁辐射与波长在撒谎可见光与无线电波之间。现在已经被广泛应用红外线包括数据通讯、夜视装置,物件追踪等等。人们通常使用红外数据通信中,由于它是容易产生和只有受电磁干扰少。把电视遥控器控制作为一种例子,可以发现在每个人的家里。红外遥控系统利用红外发光二极管(led)散发出红外(红外线)讯号按钮推后。不同模式显示相应的按钮的脉冲的存在推。允许控制多种电器比如电视机、录像机、有线电视盒,不受干扰,系统通常有序言和一个地址进行同步识别来源的接收机的位置和红外信号。编码的数据,系统通常不同脉冲的

43、宽度(脉宽调制)或宽度之间的间隔空间调制脉冲(脉冲)。另一种受欢迎的系统、双相编码,利用信号转换来传递信息。每次脉冲是其实一阵红外在载波频率。“高”的含义是一阵红外能量载波频率和一个“低”体现了一种不在红外能量。没有编码标准。然而,当许多家庭娱乐设备使用他们自己的一些quasi-standards专有的编码系统确实存在。这些包括RC-5、RC -(六)、REC-80。此外,许多汽车制造商,如NEC、也成立他们自己的标准。 无线传感器网络(WSN)已成为最近的一个研究热点。伟大的效益通过部署的无线传感器网络在大范围的应用的领域,覆盖了商业、军事以及住宅。在这个项目,我们设计了一个计数系统,以追踪

44、那些经过检测区以及相应的移动方向。这样的一个系统部署在交通控制、资源管理和人力的流量控制。我们的设计是基于我们的自制划算的红外传感模块板用无线传感器网络的联系。我们的系统的设计包括红外传感模块设计、传感器节点通讯、系统聚类、建筑和部署。我们进行了一系列的实验来评估系统的性能论证了高效率的移动对象计数系统。1.2无线传感器网络 无线传感器网络(WSN)是一种无线网络是由大量不同传感器节点的自主使用传感器监测物理或环境条件,如温度、音响、振动、压力、运动或污染物,其代价就是寿命不同的地点。在传感器网络中每个节点通常配备了无线通信设备,一个小的单片机,一个或多个传感器,和一种能源,通常是一个电池。大

45、小的单一传感器节点可以一样大,可作为鞋盒小面积的一粒尘埃,这取决于不同的应用程序中。成本的传感器节点是同样的变量,从几百美元到几美分,根据无线传感器网络的大小和复杂性的要求单一传感器节点。大小和成本约束条件下的传感器节点,因此,结果在相应的限制有可用的输入,例如精力,记忆,算法的计算速度和带宽。无线传感器网络的发展(WSN)起初的目的军事应用,如战场上的监视。由于进步微-电子机械系统(MEMS)技术,嵌入式处理器、和无线网络技术、无线传感器网络的受益在许多平民的应用范围,包括生境监测、医疗应用,以及家庭自动化。1.3类型的无线传感器网络无线传感器网络节点通常不那么复杂比通用由于操作系统的特殊要

46、求的传感器网络应用及在传感器网络资源约束条件下的硬件平台。这操作系统不需要包括支持用户界面。此外,在资源约束的内存方面和内存映射的硬件支持机制如虚拟内存或者不必要或无法实现的。TinyOSTinyOS可能是第一个操作系统专门设计无线传感器网络。与大多数其它操作系统基础上,TinyOS事件驱动编程模型代替多线程。TinyOS节目都是合成事件处理器和任务以跑到completion-semantics。当一个外部事件发生时,例如一个到来的数据分组或阅读,TinyOS传感器调用合适的事件处理程序来处理这个事件。这TinyOS系统和节目都是写在一种特殊的编程语言nesC称为nesC是一种延伸到C程序设计

47、语言。NesC是用来侦测的种族条件和任务间事件处理器。也有操作系统,允许这样的例子程序,使用c操作系统包括Contiki,Contiki螳螂。Contiki是设计用来在网络上支持加载模块加载和支持运行时的标准精灵的文件。Contiki事件驱动的,就像TinyOS内核,但制度的支持多线程每个基础操作。不像其指导思想是将事件驱动的Contiki内核,螳螂的核心是基于先发制人的多线程。与先发制人的多线程、应用程序不需要明确的微处理器能在其他产量过程。1.4介绍无线传感器节点 传感器节点,也就是众所周知的尘粒,是一家的无线传感网络节点是那样能够执行处理,收集感官信息和交流的工具与其他连接节点的网络。传

48、感器节点应在体积小,极低的能源消耗、自治、操作无人值守和自适应的环境。随着无线传感器节点是微电子传感器装置,他们可以只有被装备有限电源。其主要部件传感器节点包括传感器、单片机、收发、和电源。传感器的硬件设备,能够产生可测量的响应的变化了物理条件,如光密度和声音密度。连续模拟所采集到的传感器信号数字化通过模拟数字的变换器。这然后通过对数字化信号控制器的进一步的加工。大部分的网络理论著作认为被动和全方位的传感器。被动和全方位的传感器的意义上讲,数据没有实际上的操作环境采用主动探索的没有概念”,而“卷入这些测量方向。摘要通常部署传感器检测热(如热传感器),光(例如。红外传感器)、超声音(例如),或电

49、磁超声传感器(例如。磁传感器)。在实践中,传感节点可以装备有超过一个传感器。单片机进行数据处理和控制任务,其他的操作传感器节点的部件。传感器节点负责信号处理在检测的需要或是物理事件上的需求。它处理中断的收发器。此外,它涉及的内部行为,就是这样的为特定应用的计算。 两者的功能发射机和接收机合并为单一设备知道收发器中使用的传感器节点。允许传感节点接收器的之间的信息交换和邻近的传感器节点(中央沉接收器)。一个无线电收发机的工作状态的传送、接收、懒惰是你自己,而不足别人。异能储无论是在电池或电容器。电池的主要来源之一传感器节点电源。两种类型的电池使用的是与非,耗费太多充电。他们也可以分为用于电化学材料

50、，如NiCd电极(nickel-cadmium),NiZn(nickel-zinc)、镍氢电池(镍金属氢化物),和锂离子。电流传感器开发出一种可以恢复他们的对振动的能量来自太阳的能量。两个主要采用的节能政策动态电源管理(分裂)和动态电压缩放(德国)。分裂以照顾关闭部分传感器节点,目前还不使用或活跃。德国方案中差异功率水平取决于非的工作量。通过不同的电压随频率,这有可能获得二次约简在功率的消耗。1.5挑战 最主要的挑战的设计与实现中无线传感器网络主要能源的局限性,硬件限制和覆盖面积。能源是我国目前最紧缺的资源,它决定了无线传感器网络节点网络的使用寿命。网络意味着被部署在大量在各种环境条件下,包括

51、远程和敌对的地区,以即时通信的关键。因为这个原因,算法和协议需要终生最大化、鲁棒性和故障宽容和self-configuration。在硬件的挑战是生产成本低,微小的传感器节点。有关这些目标、电流传感器节点通常只有有限的计算能力和内存空间。因此,应用软件和算法在无线传感器网络应该好并且浓缩。为了最大限度地覆盖范围内具有高稳定性和鲁棒性的不同信号节点,种沟通和低功耗者优先考虑。此外,要处理网络规模大,所设计的无线传感器网络协议对于大规模的必须分布。1.6研究问题 研究人员感兴趣的各种各样的区域的无线传感器网络的技术,包括设计、应用和操作。这些包括硬件、软件、中间件,这意味着元素之间的软件和硬件。作为通常是部署在网络环境下resources-constrained电池操作节点,研究者主要集中在问题的能量优化,覆盖区域的改善,减少,传感器网络应用程序错误、数据安全,传感器节点的移动,以及数据分组路由算法在传感器。在文学,一大群研究人员投入了大量的精力在无线传感器网络。他们集中在各种领域,包括物理性质、传感器的训练,安全通过智能节点的合作,与介质存取、传感器覆盖随机的和确定性放置,物体的定位、跟踪、传感器位置的决心,寻址的、节能的广播和积极的调度、能量转换路由、连接、数据采集、传感器的传播和中心的质量路由、拓扑控制和维护等。