基于微信小程序的智能充电桩推荐系统的研究与实现

  • 打印
  • 收藏
收藏成功


打开文本图片集

中图分类号:TP311 文献标识码:A 文章编号:2096-4706(2025)18-0148-06

Abstract:With the popularityofElectric Vehicles,thedemand forintellgent charging piles is increasing.Aimingatthe needsofusers incharging pileqeryreservationandchargingmanagement,thispaperdesignsand implementsaninteligent charging pilerecommendation system based on WeChat mini program.The back-end ofthe system uses the Spring Boot framework,andcombines withtheMySQLdatabasefordatastorageandoptimizationmanagement.Thefront-endisdeveloped based on WeChat mini program,which integrates map nvigationandreal-time data updating functions.Users can easilyquery the location ofcharging piles,reserve charging services,and monitorthe charging status inreal time.In order to improve the recommendationaccuracyand user experience,the system introducesaninteligentrecommendationalgorithmtodynamically calculateand pushtheoptimal charging pile selection according totheusers’charging habitsandlocationinformation.The experimental results showthatthe system efectively improves the intelligent level of charging service and has good user satisfaction,whichprovides technical supportandapplicationreference forthedigitalupgradingofchargingpilendustry.

Keywords:WeChat Mini Program;Electric Vehicle (EV);inteligent charging pile;Spring Boot framework

0 引言

随着全球能源结构转型与“双碳”目标的推进,电动汽车(EV)保有量快速增长[。(剩余6280字)

目录
monitor
客服机器人