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Received:August 26, 2021 Revised:September 26, 2021
Received:August 26, 2021 Revised:September 26, 2021
中文摘要: 立足于新时代后勤管理机制与服务保障模式实际需求, 为打造具有业务集约化、应用智能化、数据融合化特征的智慧后勤, 推进后勤工作提质增效, 强化后勤精益管理水平, 实现后勤管理和服务的信息化、数字化、智能化转型升级, 本文基于微服务的实现技术Spring Cloud开发了企业级智慧后勤保障平台. 此平台通过整合各类后勤资源, 涵盖后勤管理中心、服务保障中心、物业监控中心3大中心, 面向企业后勤管理人员、物业人员、员工提供智慧食堂、便捷出入、物业管理等全方位后勤保障服务, 打破传统单体式后勤业务应用系统间壁垒, 实现各类后勤业务应用系统数据贯通, 进一步提升后勤保障能力和管理效率.
中文关键词: 智慧后勤 微服务架构 Spring Cloud 平台化
Abstract:To meet the actual needs of logistics management mechanism and service support mode in the new era, this study develops an enterprise intelligent logistics support platform with Spring Cloud, the implementation technology of microservices. It helps build intelligent logistics with the characteristics of intensive business, intelligent application and data integration, promote the quality and efficiency improvement of logistics work, strengthen the lean management level of logistics, and realize the transformation and upgrading of logistics management and services toward informatization, digitization and intellectualization. By integrating various logistics resources, this platform covers three centers: logistics management center, service support center, and property monitoring center, and provides all-round logistics support services such as smart canteen, convenient access, and property management for logistics managers, property personnel and employees of enterprises. It breaks the barriers between traditional single logistics business application systems, realizes the data connection of various logistics business application systems, and further improves the logistics support capability and management efficiency.
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李川,吴钢,利润霖.基于Spring Cloud的企业级智慧后勤保障平台.计算机系统应用,2022,31(6):141-148
LI Chuan,WU Gang,LI Run-Lin.Enterprise Intelligent Logistics Support Platform Based on Spring Cloud.COMPUTER SYSTEMS APPLICATIONS,2022,31(6):141-148
李川,吴钢,利润霖.基于Spring Cloud的企业级智慧后勤保障平台.计算机系统应用,2022,31(6):141-148
LI Chuan,WU Gang,LI Run-Lin.Enterprise Intelligent Logistics Support Platform Based on Spring Cloud.COMPUTER SYSTEMS APPLICATIONS,2022,31(6):141-148