基于交互式物联网智能博物馆的BLE信标室内定位技术
BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum
AI总结：
本研究面向智能博物馆场景，提出基于BLE信标与RSS技术的室内定位系统，搭配带Kalman滤波的Android应用实现展品内容推送与参观分析，经实验验证方案有效且可扩展至物联网技术。
摘要：
物联网（IoT）可使智能基础设施为用户提供高级服务。新技术的进步能够改善我们的日常生活，哪怕是参观博物馆这类简单活动。本文提出了一套室内定位系统，用于提升博物馆内的用户体验。具体而言，该系统依托蓝牙低功耗（Bluetooth Low Energy，BLE）信标的近距感知与定位能力，自动向用户推送与所观赏艺术品相关的文化内容。同时，系统采用基于接收信号强度（RSS）的技术估算访客在博物馆内的位置。研究开发了一款Android应用，用于估算与展品的距离、收集每次参观的有用分析数据并向用户提供推荐。此外，该应用无需依赖云端，直接在智能手机中实现了简单的Kalman滤波，以提升定位的精度与准度。针对距离估算、定位及检测精度的实验结果表明，BLE信标是构建交互式智能博物馆的一种极具前景的解决方案。该系统的设计可轻松扩展至各类物联网技术，其有效性已通过实验得到验证。
英文摘要：
The Internet of Things (IoT) can enable smart infrastructures to provide advanced services to the users. New technological advancement can improve our everyday life, even simple tasks as a visit to the museum. In this paper, an indoor localization system is presented, to enhance the user experience in a museum. In particular, the proposed system relies on Bluetooth Low Energy (BLE) beacons proximity and localization capabilities to automatically provide the users with cultural contents related to the observed artworks. At the same time, an RSS-based technique is used to estimate the location of the visitor in the museum. An Android application is developed to estimate the distance from the exhibits and collect useful analytics regarding each visit and provide a recommendation to the users. Moreover, the application implements a simple Kalman filter in the smartphone, without the need of the Cloud, to improve localization precision and accuracy. Experimental results on distance estimation, location, and detection accuracy show that BLE beacon is a promising solution for an interactive smart museum. The proposed system has been designed to be easily extensible to the IoT technologies and its effectiveness has been evaluated through experimentation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
