室内定位技术评估试验场蓝牙指纹库数据（2021年）

室内定位技术评估试验场蓝牙指纹采集原始数据包含武汉大学诗琳通中心大楼7000平方米试验场，覆盖走廊，办公区域，办公开放平台等多个室内场景。按照人员走动每隔2s采集一个点的标准，使用安卓手机采集APP，采 集室内5层楼所有低功耗蓝牙 AP的信号强度、MAC地址等信息。同时使用手持激光Slam采集人员走动的实时位置信息，数据通过程序使其与位置信息对齐，并过滤-90db以下低强度BLE AP信息。AP信息与位置信息共同保存在sqlite数据库文件中。

Raw Bluetooth fingerprint collection data for indoor positioning technology evaluation test site. The dataset covers a 7,000-square-meter test area located in the Sirindhorn Center Building of Wuhan University, including multiple indoor scenarios such as corridors, office zones, and open office platforms. Following the sampling standard of one data point per 2 seconds during personnel movement, an Android-based data collection application was used to acquire the signal strength, MAC addresses and other related information of all low-power Bluetooth (BLE) access points (APs) across the 5 floors of the building. Additionally, a handheld laser SLAM device was employed to collect real-time position information of the moving personnel. The collected AP data was aligned with the position information through a dedicated program, and BLE AP signals with intensity below -90 dB were filtered out. Finally, both the AP information and the aligned position information are stored in a SQLite database file.

搜集汇总

背景与挑战

背景概述

该数据集包含武汉大学诗琳通中心大楼7000平方米试验场的蓝牙指纹数据，覆盖走廊、办公区域等多个室内场景，采集了低功耗蓝牙AP的信号强度和MAC地址信息，并与实时位置信息对齐后保存在sqlite数据库文件中。