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Indoor Wifi positioning data preprocessing and trajectory reconstruction method

A technology for positioning data and preprocessing, which is applied to services based on location information and services based on specific environments, etc. It can solve the problem of not being able to assign valid semantic information to the stop point, failing to achieve the fundamental purpose of extracting the stop point, and being unable to apply trajectory data processing, etc. problems, to achieve high processing efficiency and reliable results

Inactive Publication Date: 2018-11-23
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

Traditional positioning data preprocessing methods are not necessarily applicable. For example, median or mean filtering cannot handle continuous noise points, and particle filtering cannot be applied to trajectory data processing of multi-floor structures in indoor spaces; commonly used trajectory clustering to extract stay points The method is also not suitable for indoor narrow locations, let alone give effective semantic information to the extracted stay points, and cannot achieve the fundamental purpose of extracting stay points

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  • Indoor Wifi positioning data preprocessing and trajectory reconstruction method

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Embodiment 1

[0039] Embodiment 1, for the deletion of the trajectory drift point, it is to compare the POI where the positioning point is located with the adjacent N data points. The specific implementation method is as follows:

[0040] S1. Establish a two-dimensional coordinate system of track point serial number-POI serial number, take the serial number of the track as the X axis, and the serial number of the POI where the track point is located as the Y axis, and map the track data to the coordinate system;

[0041] S2. Set the initial step size nStep=3, query the adjacent points of the track with this step size;

[0042] S3. Set the POI number of the i-th track point on the track as Ni, the POI number of the i-1-th track point is Ni-1, and the number of the i+1-th track point POI is Ni+1

[0043] (1) If and jump to step S4;

[0044] (2) If and, i=i+1 jump to step S3;

[0045] (3) If and, i=i+1 jump to step S3

[0046]S4. Obtain the time ti of the i-th track point of the track, the ...

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Abstract

The invention discloses an indoor Wifi positioning data preprocessing and trajectory reconstruction method, comprising the following steps: A, defining an indoor space POI; B, extracting correspondingpositioning data according to mac, and forming a mac behavior trajectory, Strj = { p1..., pi, pj,...pn }; C, analyzing the signal loss and an AP point, and judging the invalid trajectory; D, intersecting trajectory points in the Strj trajectory with the indoor POI, ranking all points in the POI, and constructing a temporary trajectory sequence Strjtmp = { p1,..., pi,...pn }; E, merging the trajectory points in the same POI, namely only keeping the earliest and latest trajectory points in a continuous time period in the POI, reconstructing a trajectory Strjnew = { p1,..., pi,...pn }; F, mapping the trajectory data to a two-dimensional plane based on which the drift points and the jump points in the trajectory are deleted; and G, implementing step E again, and merging the trajectory pointsin the same POI, thus realizing trajectory compression, and completing the extraction of a new trajectory. According to the invention, indoor space characteristics and indoor trajectory characteristics are met, the result is reliable, and the processing efficiency is high.

Description

technical field [0001] The invention relates to the technical field of indoor Wifi positioning data preprocessing and trajectory reconstruction, in particular to a method for indoor Wifi positioning data preprocessing and trajectory reconstruction. Background technique [0002] In recent years, with the development of mobile communication and wireless positioning, important progress has been made in obtaining the spatial position of individuals inside buildings, including Wifi, Bluetooth, Zigbee and RFID and other positioning methods, and the accuracy has reached sub-meter level. By analyzing indoor positioning data, we can understand and grasp the activities of indoor crowds, such as the distribution, density and trajectory of crowds, which is helpful for public disaster protection, public facilities optimization and commercial services. Positioning data preprocessing refers to the need to deal with many issues such as noise filtering, data compression, and stop point ident...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/029H04W4/33
CPCH04W4/029H04W4/33
Inventor 承达瑜裴韬岳过宋辞舒华
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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