外文文献翻译——基于热释电红外传感器的智能家居室内感应定位系统.doc

1A Pyroelectric Infrared Sensor-based Indoor Location-Aware System for the Smart Home基于热释电红外传感器的智能家居室内感应定位系统基于热释电红外传感器的智能家居室内感应定位系统1010 电子电子 2 2 班班 1818 号号 王荣王荣I. INTRODUCTIONThere is a growing interest in smart home as a way to offer a convenient, comfortable, and safe residential environment [1], [2]. In general, the smart home aims to offer appropriate intelligent services to actively assist in the resident’s life such as housework, amusement, rest, and sleep. Hence, in order to enhance the resident’s convenience and safety, devices such as home appliances, multimedia appliances, and internet appliances should be connected via ahome network system, , and they should be controlled or monitored remotely using a television (TV) or personal digital assistant (PDA) [3], [4]. I. 简介现在由于人人都想有一个方便，舒适，安全的居住环境，因此大家对于智能家居表现的越来越感兴趣[1] [2]。

一般来说，智能家居旨在提供合适的智能服务来积极促进住户更好的生活，比如家务劳动，娱乐，休息和睡眠因此，为了提高住户的便捷和安全，像家用电器，多媒体设备和互联网设备应通过家庭网络系统连接在一起并且它们应通过电视或个人数字助理（PDA）来控制或远程监控[3] [4]Especially, attention has been focused 2on location-based services as a way to offer high-quality intelligent services, while considering human factors such as pattern of living, health, and feelings of a resident [5]-[7]. That is, if the smart home can recognize the resident’s pattern of living or health, then home appliances should be able to anticipate the resident’s needs and offer appropriate intelligent service more actively. For example, in a passive service environment, the resident controls the operation of the HVAC (heating, ventilating, and air conditioning) system, while the smart home would control the temperature and humidity of a room according to the resident’s condition. Various indoor location-aware systems have been developed to recognize the resident’s location in the smart home or smart office. In general, indoor location-aware systems have been classified into three types according to the measurement technology: triangulation, scene analysis, and proximity methods [8]. The triangulation method uses multiple distances from multiple known points. Examples include Active Badges [9], Active Bats [10], and Easy Living [11], which use infrared sensors, ultrasonic sensors, and vision sensors, respectively. The scene analysis method examines a view from a particular vantage point. Representative examples of the scene analysis method are MotionStar [12], which uses a DC magnetic tracker, and RADAR [13], which uses IEEE 802.11 wireless local area network (LAN). Finally, the proximity method measures nearness to a known set of points. An example of the proximity method is Smart Floor [14], which uses pressure sensors.尤其要注意的是，作为一种提供高质量的智能服务，目标应集中于定位服务，同时考虑人为因素，比如住户的生活方式，健康状况和居住感受[5]—[7]。

也就是说，如果智能家居能识别住户的生活方式或健康状况，那么家用电器应该能预见住户的需要，并能更主动的提供适合的智能服务例如，在一个被动的服务环境下，需要住户3控制供热通风与空气调节系统（供暖，通风和空调） ，而智能家居将根据住户情况自动调节房间的温湿度智能家居或智能办公室的各种室内感应定位系统的已经研发到能够识别住户的位置一般来说，室内定位感应系统根据测量技术分为三种类型：三角测量，场景分析和接近方法[8]三角测量法是通过多个已知点来计算位置距离运用三角测量法的例子包括Active Badges[9]，Active Bats[10]和 Easy Living[11]，它们分别运用了红外传感器，超声波传感器和视觉传感器来实现的场景解析法是检测一个场景内的特定着眼点场景解析法的典型例子是使用直流磁力跟踪器的MotiveStar[12]，和使用无线局域网络[LAN]标准 IEEE 802,11 的 RADAR[13]接近法则是以一组已知点中最接近的点近似作为定位点接近法的例子有使用压力传感器的 Smart Floor[14]This paper presents a non-terminal based location-aware system that uses an array of pyroelectric infrared (PIR) sensors [15], [16]. The PIR sensors on the ceiling detect the presence of a resident and are laid out so that detection areas of adjacent sensors overlap. By combining the outputs of multiple PIR sensors, the system is able to locate a resident with a reasonable degree of accuracy. This system has inherent advantage of non-terminal based methods while avoiding privacy and extendibility, maintenance issues. In order to demonstrate its efficacy, an experimental test bed has been constructed, and the proposed system has been evaluated experimentally under various experimental conditions. This paper is organized into four sections, including this introduction. Section II presents the architecture of the PIR sensor-based indoor location-aware system (PILAS), and the location-recognition algorithm. Section III describes a resident-detection method using PIR sensors, and evaluates the performance of the system under various conditions using an experimental test bed. Finally, a summary and theconclusions are presented in Section IV.4本文提出一种使用阵列热释电红外（PIR）传感器实现的基于非终端方式的室内感应定位系统[15] [16]。

红外传感器固定在天花板上，并使相邻的传感器的感应范围有重叠当它感应到一名住户时，通过多个红外传感器的综合，能够比较准确的确定住户的位置该系统不仅具有非终端方式的特有优点，还避免了侵犯隐私，扩展性不佳和维护困难的问题为了证明其有效性，已经在实验平台上通过了各种不同测试环境下的实验性评估包括此简介，本文共分为四个部分，第二部分介绍基于红外传感器的室内定位感应系统架构（PILAS）以及定位识别算法第三部分介绍了基于红外传感器的住户检测法和在实验测试平台上的不同环境下评估系统的表现最后一部分为总结和结论II. ARCHITECTURE OF THE PIR SENSOR-BASED INDOORLOCATION-AWARE SYSTEMA. Framework of the smart homeGiven the indoor environment of the smart home, an indoor location-aware system must satisfy the following requirements. First,location-aware system relatively low cost because many sensors have to be installed in rooms of different sizes to detect the residen。