摘要
通过对矿用无轨辅助运输车辆个性化多配置现状进行分析研究,采用大数据理论和方法,搭建一套基于B/S架构的多配置系统平台,有效提高销售、设计、生产、售后服务等环节工作效率,提升产品的安全性和智能化水平,增强用户体验感,提高产品竞争力。
Through the analysis and research on the current situation of personalised multi-configuration of trackless auxiliary transport vehicles for mining,a set of multi-configuration system platform based on B/S architecture is built by adopting the theory and method of big data,which can effectively improve the efficiency of sales,design,production and after-sales service,enhance the safety and intelligence level of the products,strengthen the sense of user experience,and improve the competitiveness of the products.
作者
薛慧珍
Xue Huizhen(China Coal Technology and Industry Group Taiyuan Research Institute Co.,Ltd.,Taiyuan Shanxi 030006,China)
出处
《机械管理开发》
2024年第9期215-217,共3页
Mechanical Management and Development
关键词
无轨辅助运输车辆
个性化
多配置
大数据
trackless auxiliary transport vehicle
personalisation
multi-configuration
big data