Method for drawing a station riding area personnel distribution thermodynamic diagram

Abstract

The problem to be solved by the invention is to provide a method for drawing a personnel distribution thermodynamic diagram in a station riding area, which comprises the following steps: a) setting adrawing area, and arranging a plurality of WiFi probes in the drawing area in a station according to a set interval; B) setting the corresponding position of each WiFi probe on the thermodynamic diagram according to the actual spatial position of the drawing area, and setting an effective scanning area of the WiFi probe; C) reading feature information of the Wifi-containing electronic equipment entering the drawing area; D) sending and storing the feature information read by any WiFi probe into a data server and a feature information address list corresponding to the feature information; E) counting all feature information address lists containing the same feature information by the data server, and forming a feature information-Wifi probe corresponding table information according to the corresponding WiFi probe information; wherein the Wifi probe corresponds to a table; and f) calculating the position of the characteristic information through triangular positioning, and feeding the position back to the thermodynamic diagram The method has the beneficial effects that unnecessary manpower loss is reduced, the working efficiency is improved, and the judgment possibility of risk earlywarning is increased.

Description

technical field [0001] The invention relates to the technical field of railway passenger information information services, in particular to a method for drawing a thermal map of personnel distribution in a station boarding area. Background technique [0002] The heat map is a product that uses blocks of different colors to be superimposed on the map to describe the distribution, density and change trend of the crowd in real time. [0003] The railway station belongs to an area with a large population, high population density and high mobility of people. In the railway station, it is necessary to carry out diversion and drainage work according to the passenger flow situation in real time to avoid delays or other accidents caused by poor flow of people. [0004] The existing methods for judging the distribution density of people in stations are generally only video surveillance or on-site patrol personnel observation. These two methods mainly rely on human eyes to judge. Add...

AI Technical Summary

Problems solved by technology

However, this method also has the following disadvantages: 1. In the case of high-density distribution of points, the monitoring range of multiple wifi points will overlap, and there will be a problem of statistical repetition; 2. In the case of low-density distribution of points , the displayed heat map is based on WiFi points, and cannot accurately reflect the specific location of the station; 3. It cannot accurately reflect the trend of personnel flow

At the same time, the patent application number CN2015101209771 (system and method for realizing wireless beacon address location) proposes a method for precise positioning, tracking and navigation by means of triangulation positioning and WiFi. Information and its geographic location information, actively search for signals, and then judge your own position through triangular positioning to achieve the effect of positioning and navigation. WiFi, there is a risk of moving or replacing; 2. In the existing technology, there are a large number of duplicate names in third-party WiFi, which will lead to abnormal location judgment

After the above two technologies are combined, there are still the following problems: 1. It is not proposed in advance how to arrange regular WiFi points (probe distribution) to accurately and stably realize triangulation; 2. It is not proposed to use multiple WiFi points ( Probes) how to use data more effectively when obtaining device information at the same time; 3. There is no mapping relationship between wifi points (probes) and actual physical locations

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