基于数据挖掘的军用车辆驾驶员管理系统设计实践  

Design Practice of Military Vehicle Driver Management System Based on Data Mining

作　　者：赵凤芝[1] 殷金平 包锋[2] ZHAO Fengzhi;YIN Jinping;BAO Feng(School of Computer&Information Technology,Northeast Petroleum University,Daqing 163000;Qinhuangdao Campus,Northeast Petroleum University,Qinhuangdao 066000)

机构地区：[1]东北石油大学计算机与信息技术学院,大庆163000 [2]东北石油大学秦皇岛校区,秦皇岛066000

出　　处：《计算机与数字工程》2025年第2期352-357,共6页Computer & Digital Engineering

基　　金：黑龙江省教育厅项目“智能时代基于OBE理念的C程序设计教学改革与实践”(编号:SJGY20190107);教育部产学合作协同育人项目“校企融合下软件测试创新实践基地的建设”(编号:202002097001);教育部产学合作协同育人项目“校企融合背景下高校师资提升建设”(编号:202002254022);重点实验室《海洋环境与石油地质分析实验室》(秦皇岛市)项目资助。

摘　　要：数据挖掘和人工智能是当前两大热点领域,有效使用这两项技术可以使军用车辆和驾驶人员管理等工作更加高效、规范。论文从数据挖掘技术应用的指导意义出发,在军用车辆使用情况和驾驶人员的不良习惯以及综合素质测试等方面进行分析,满足军队的正规化和高水平管理需求。系统采用spring boot、Redis&J wt和scrapy框架技术,运用前后端分离的设计理念从数据采集获取、数据分析到决策树模型建立诠释军用车辆和驾驶人员管理系统的应用价值。以数据挖掘为技术基础,对实现功能适用、性能满足、安全可控的学习及管理平台具有借鉴作用。Data mining and artificial intelligence are currently two major hot spots.Effective use of these two technologies can make the management of military vehicles and drivers more efficient and standardized.Starting from the guiding significance of the application of data mining technology,this paper analyzes the use of military vehicles,the bad habits of drivers and the comprehen⁃sive quality test,so as to meet the requirements of regularization and high-level management of the army.The system adopts spring boot,Redis&J wt and scrapy framework technology,and uses the design concept of front and rear end separation from data acquisi⁃tion and data analysis to the establishment of decision tree model to interpret the application value of military vehicle and driver man⁃agement system.Based on data mining technology,it can be used as a reference to realize the learning and management platform of functional applicability,performance satisfaction,safety and control.

关 键 词：数据挖掘 军用车辆 决策树 管理系统 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]