系统仿真学报 ›› 2018, Vol. 30 ›› Issue (11): 4313-4322.doi: 10.16182/j.issn1004731x.joss.201811032

• 仿真应用工程 • 上一篇    下一篇

基于组合权重的制造系统能效贝叶斯评价方法

曹东风, 王艳   

  1. 江南大学物联网工程学院,江苏 无锡 214122
  • 收稿日期:2018-05-20 修回日期:2018-07-02 发布日期:2019-01-04
  • 作者简介:曹东风(1991-),男,江苏徐州,硕士生,研究方向为离散制造系统能效优化;王艳(1978-),女,江苏盐城,博士后,教授,博导,研究方向为制造系统能效优化。
  • 基金资助:
    国家自然科学基金(61572238),江苏省杰出青年基金(BK20160001)

Bayesian Evaluation Method for Energy Efficiency of Manufacturing System Based on Combined Weights

Cao Dongfeng, Wang Yan   

  1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
  • Received:2018-05-20 Revised:2018-07-02 Published:2019-01-04

摘要: 离散制造系统能耗呈现出的多源、多层次、动态不确定等复杂特性,导致能效分析与评价十分困难。从制造设备、加工任务和产品三个方面,构建离散制造系统能效的评价指标体系。能效评价采用改进的贝叶斯概率评价模型。在确定权重环节采用了动态修正的AHM法与熵权法相结合的方法,弥补贝叶斯模型结构和参数的不确定性缺陷,并综合主观、客观两方面的指标权重值,提高能效评价算法的稳定性与客观性。最后通过算例分析和仿真验证了该方法的有效性。

关键词: 制造系统, 评价指标体系, 贝叶斯方法, 综合评价

Abstract: The energy consumption of discrete manufacturing system presents many complex characteristics such as multi-source, multi-level and dynamic uncertainty, which make energy efficiency analysis and evaluation very difficult. The evaluation index system of energy efficiency of discrete manufacturing system is constructed from three aspects: manufacturing equipment, processing tasks and products. The improved Bayesian probability evaluation model is adopted for energy efficiency evaluation. In determining the weight link, the dynamic modified AHM method is combined with entropy weight method to make up the uncertainty of the structure and parameters of the Bayesian model, and to synthesize the subjective and objective two aspects of the index weight value, and to improve the stability and objectivity of the energy efficiency evaluation algorithm. An example is given to illustrate the effectiveness of the method.

Key words: manufacturing system, evaluation index system, Bayesian method, synthetical evaluation

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