Geographic fence automatic correction method

Abstract

The invention discloses a geographic fence automatic correction method. The invention mainly utilizes the space range automatic correction method of the polygon. The geographic fence automatic correction method comprises steps of using geographic fence space information, expressing the geographic fence coordinator serial and the image resource demand type of the geographic fence, like some buildings, some roads, can correspond to the image resource information types like the buildings, the roads, obtaining the demand image resource demand type covered by the geographic boundary, performing successive comparison on the needed image resource object and the geographic coverage area rate, determining the practical geographic object corresponding to the geographic object which is considered as a reservation object, calculating the smallest externally-connected polygon containing all reservation object range, and obtaining the corrected geographic fence.

Description

technical field [0001] The present invention relates to a geofence correction method, in particular to a geofence technology (Geofence) using location-based services (Location Based Services, LBS), through the definition of a spatial range, it can correspond to the geofence automatic correction method of the actual geographical area . Background technique [0002] A geofence is a spatial area, which can contain actual geographic map object information. Its related applications include detecting the relationship between mobile devices containing GPS signals and this geofence, including entering, leaving, staying, etc., or further Provide follow-up services for mobile devices under specific conditions. For example, mobile devices that enter the geo-fence range cut off the Internet connection service. It can be seen that the geo-fence range is a link that affects the quality of service in the application scenario. [0003] For different application requirements, geo-fences are...

AI Technical Summary

Problems solved by technology

[0003] For different application requirements, geo-fences are defined based on a spatial purpose, such as a school district, department store, or MRT station. This spatial purpose can be mapped back to the actual geographic map object. For example, a building can be mapped to a surface map. The building information and a certain road can correspond to the road information in the circuit map data. In order to establish the required geographic fence range, the electronic map can be manually edited to generate the required range, but this method is labor-intensive, time-consuming and has errors. The big problem is that the range of the generated geofence may not match the required map and data objects; if the operation interface is used to automatically bring in the map and data data, the required map and data information can be obtained by clicking, inputting and other interactive methods , lacks flexibility, and can only choose the smallest map data unit provided by the operation interface, such as dividing a complete road or a building by the road name, but cannot flexibly select a certain road section or a community composed of a group of buildings. Even if the flexibility can be achieved, more complicated steps and operation time are required. Therefore, a more automatic method is needed to assist users in establishing the geographical fence required by the application situation, and can provide a geographical range that is in line with the actual map data object.

[0004] Some existing automation methods in the industry such as: "Network Electronic Map Graphics Automatic Generation System and Method" (Taiwan Patent No. 200842637) patent case, although special graphics can be generated through automated programs, they are limited to the same layer through attribute Automatically generate new data, which cannot achieve cross-layer application; another example is the "Scalable Geofence" (Taiwan Patent No. 201207424) patent case, although the geographical characteristics of the actual geographic object entity are used to determine the boundary of the geofence, but the user selects the geographic After the object is classified, the shape and size of the geofence are determined based on this. For example, a square geofence with a side length of 20 meters including a shopping center can contain actual geographic objects, but it also covers unnecessary areas, which may cause application false alarm on

[0005] This shows that the above-mentioned prior art scheme still has many deficiencies, and there is still room for improvement, which needs to be improved urgently

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