云制造环境下基于服务组合路径优选的能效评估方法  

Research on Energy Efficiency Evaluation Method Based on Service Portfolio Path Optimization in Cloud Manufacturing Environment

作　　者：容会[1] 韩珂[2] 王艳玲 韦丽莉[4] 王晓亮[5] RONG Hui;HAN Ke;WANG Yanling;WEI Lili;WANG Xiaoliang(Faculty ef Art and Design;Faculty ef Electrical Engineering;Faculty ef Fereign Languages;Practical Training Division;Faculty ef Business,Kunming Metallurgy College,Kunming 650033,China)

机构地区：[1]昆明冶金高等专科学校艺术设计学院,云南昆明650033 [2]昆明冶金高等专科学校电气学院,云南昆明650033 [3]昆明冶金高等专科学校外语学院,云南昆明650033 [4]昆明冶金高等专科学校实训处,云南昆明650033 [5]昆明冶金高等专科学校商学院,云南昆明650033

出　　处：《昆明冶金高等专科学校学报》2018年第1期46-53,共8页Journal of Kunming Metallurgy College

基　　金：昆明冶金高等专科学校科研基金项目:云制造环境下基于服务组合路径优选的能效评估方法研究(2015XJQN004);基于GPS浮动车的城市交通状态时空分布研究(14B004)

摘　　要：以云计算为重要支撑技术的云制造模式逐渐成为研究热点,其中如何在云制造环境下通过能效评估模型的引入,解决能源消耗问题就成为了重要研究对象。通过对云制造环境下基于能效的服务组合路径优选的能效评估方法的研究,探索新的能效评估模型,重点通过深入分析常用的云制造服务QoS评估模型、云制造服务能耗评估模型、云制造服务能效评估模型3种模型的关联和特点,提出了能效评估模型下的服务组合路径优选的创新方法,并提出了基于云制造服务组合中的能耗及QoS的多目标优选模型。为能效感知的绿色云制造服务组合的研究服务。With the development of China＇s manufacturing 2025 national strategy,the new advanced manufacturing model has become the trend of the times. Cloud computing as an important support technology cloud manufacturing model has gradually become a research hotspot,and how to solve the problem of energy consumption through the introduction of energy efficiency assessment model in cloud manufacturing environment has become an important research topic. The objective of this project is to explore the energy efficiency assessment model by studying the energy efficiency assessment method based on energy efficiency service portfolio routing in cloud manufacturing environment,focusing on the performance assessment of service life cycle energy assessment,QoS assessment and manufacturing resources. Based on the proposed method of service portfolio path optimization under the proposed energy efficiency assessment model,it is a research service for energy efficiency perception of green cloud manufacturing service portfolio.

关 键 词：云制造 能效评估 服务组合 路径优选 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]