Indoor positioning track analysis method and device
A technology for indoor positioning and trajectory analysis, applied in measurement devices, neural learning methods, biological neural network models, etc., can solve the problems of inaccurate positioning, not considering the jump of positioning points, etc., and achieve the effect of accurate positioning
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Embodiment 1
[0056] like figure 1 As shown, a method for indoor positioning trajectory analysis, the method includes:
[0057] Step S1: Divide the indoor map into grids, export the coordinates of each grid, and obtain the grid list; the specific process is: draw the grid on the indoor positioning map, and the scale of the grid is consistent with the scale of the indoor positioning map , The size of the grid depends on the size of the map and the accuracy of the positioning technology. The general physical distance is 5 to 7 meters. And the grid is not drawn in the hollowed-out areas and weak electric wells that are not accessible indoors. Export the coordinates of each grid to get the grid list areas: {Node1,Node2,…,NodeN}, where N is the total number of grids, Nodei is the i-th grid, Nodei={i,Xi,Yi, X1i,Y1i}, i is the number, i∈(1,N), Xi is the abscissa of the upper left corner of the i-th grid, Yi is the ordinate of the upper left corner of the i-th grid, X1i is the i-th The abscissa ...
Embodiment 2
[0075] Corresponding to Embodiment 1 of the present invention, Embodiment 2 of the present invention also provides an indoor positioning trajectory analysis device, the device comprising:
[0076] The grid division module is used to divide the indoor map into grids, export the coordinates of each grid, and obtain the grid list;
[0077] The path set acquisition module is used to generate the initial path set reachable between any two grids;
[0078] The training set acquisition module is used to randomly replace the grids with a preset ratio of less than the total number of grids in any path in the initial path set with any grid other than the path to obtain an updated path, and all updated The paths form a training set, execute the training set acquisition module in a loop, and generate a large number of training sets;
[0079] A neural network model building block for constructing a neural network model;
[0080] The trajectory optimization model acquisition module is used...
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