基于云服务优选的高铁乘务人员调度系统设计  

Design of High Speed Railway Crew Scheduling System Based on Cloud Service Optimization

作　　者：梁烨[1] 孙瑞娟[2] LIANG Ye;SUN Rui-juan(Shanxi College of Communication Technology,Xi'an 710018 China;Shanxi Agricultural University,Taigu 030800 China)

机构地区：[1]陕西交通职业技术学院,陕西西安710018 [2]山西农业大学,山西太谷030800

出　　处：《自动化技术与应用》2023年第8期111-114,122,共5页Techniques of Automation and Applications

基　　金：基于新能源与物联网技术的农业设备创新研究项目(SXYBKY2019015)。

摘　　要：为提高工作人员的调度效果,提出基于云服务优选的高铁乘务人员调度系统设计。系统硬件部分由微控制器LPC2368、云服务优选软件模块、通信模块、GPS模块以及数据采集模块组成,设计各模块的电路。系统软件部分采用云服务优选算法规划乘务人员的排班计划,并采用三角模糊函数层次分析评价影响云服务优劣的指标,实现高铁乘务人员调度。仿真实验验证,系统的登录功能、人员信息管理功能及排班合理性达标,可以完全实现实验预期,实际应用价值较高。In order to improve the staff scheduling effect,this paper puts forward the design of high-speed rail crew scheduling system based on cloud service optimization.The hardware part of the system is composed of microcontroller LPC2368,cloud service optimization software module,communication module,GPS module and data acquisition module,and the circuits of each module are designed.In the software part of the system,the cloud service optimization algorithm is used to plan the crew scheduling plan,and the triangular fuzzy number hierarchy analysis is used to evaluate the indicators that affect the advantages and disadvantages of cloud services,so as to realize the crew scheduling of high-speed rail.Simulation experiments verify that the system's login function,personnel information management function and scheduling rationality meet the standard,which can fully realize the experimental expectations and has high practical application value.

关 键 词：微控制器LPC2368 云服务优选 GPS定位 数据采集模块 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]