The invention discloses a
community service area
intelligent management method and
system based on geofences. The method comprises the following steps: supporting definition of multiple types of fences such as static polygons, dynamic fences, time period fences, multi-level fences and 3D (three-dimensional) fences; an intelligent position judgment
algorithm combining geometric judgment and
machine learning is adopted and comprises a
ray method, boundary fuzzy
processing, ML boundary prediction, historical behavior expansion and
signal fusion positioning.
Client-side, distributed, predictive,
edge computing and other four-level caching strategies are realized; visual schemes such as fillet
smoothing, AR
augmented reality, thermodynamic diagram superposition and voice boundary reminding are provided; the
system has intelligent operation capabilities of fence automatic optimization, benefit evaluation, demand prediction, competition analysis and the like. According to the method, the problems of single management mode, limited judgment
algorithm, insufficient performance, poor
visual experience, lack of intelligent operation and the like of a traditional service area are solved, the area matching precision can reach 99%, invalid orders are reduced by 90%, the interface
response time is reduced by 80%, and an all-around technical guard city is established for a service platform.