基于大数据挖掘技术的机动车驾驶人智能培训系统的研究

BBased on Large Data Mining Research Motor Vehicle Drivers Intelligent Training System

文章以LBS技术、RIDF物联网技术、基于可视化分析的大数据技术等为基础,建立一套机动车驾驶人智能预约培训监管系统。系统基于RFID识别距离探测、大功率远距离WIFI数据传输、LBS智能跟踪定位等技术对教练车,教练员,学员进行实时定位跟踪,智能监管,可以有效杜绝驾考行业偷减学时,教练擅自离岗等乱象,避免学车过程中的安全事故。同时,采集机动车驾驶人培训各项相关数据,根据可视化技术及大数据挖掘技术进行分析,构建一个科学,合理,高效的智能学车推荐模型。

Based on LBS technology, RIDF iot technology, based on the visual analysis of big data technology as the foundation, establishes a set of motor vehicle drivers intelligent booking training supervision system. Detection system based on RFID identification distance, high power distance WIFI data transmission, LBS intelligent technologies such as the positioning of the track coaches, trainers, trainees for real-time location tracking, intelligent supervision, can effectively prevent the driving test industry steal reducing class hours, coach leave without authorization, etc, to avoid the safety accident in the process of students. At the same time, the motor vehicle driver training various related data, according to the visualization technology and data mining technology is analyzed, build a scientific, reasonable, efficient intelligent student driver recommended model.