基于BP神经网络的集装箱制造过程绿色度评价研究  

Research on Green Degree Evaluation of Container Manufacturing Process Based on BP Neural Network

作　　者：张比鹏[1] 韩聪 王靖涵 ZHANG Bi-peng;HAN Cong;WANG Jing-han(College of Mechanical Engineering and Automation,Liaoning University of Technology,Jinzhou 121000,China)

机构地区：[1]辽宁工业大学机械工程与自动化学院,辽宁锦州121000

出　　处：《机械工程与自动化》2023年第6期55-57,共3页Mechanical Engineering & Automation

摘　　要：针对目前集装箱制造过程没有专门的绿色度评价体系与方法的问题,通过对集装箱制造过程进行分析,初步建立集装箱制造过程绿色度评价指标体系。基于调查问卷的方法对指标体系进行确定,并作为BP神经网络模型输入构建BP神经网络模型,对BP神经网络模型进行训练。基于某集装箱制造厂的实测数据对集装箱制造过程绿色度进行评价,结果表明所构建的模型能够反映集装箱制造过程的绿色度水平,给集装箱制造过程的绿色度评价提供了一种方法。In order to solve the problem that there is no special green degree evaluation system and method in the container manufacturing process,through the analysis of the container manufacturing process,the green degree evaluation index system of the container manufacturing process is established.The index system is determined based on the method of questionnaire,and as the input of BP neural network model,the BP neural network model is constructed and the BP neural network model is trained.The green degree of container manufacturing process is evaluated based on the measured data of a container factory.The results show that the model can reflect the green level of the container manufacturing process,and provides a method for the green degree evaluation of the container manufacturing process.

关 键 词：BP神经网络 集装箱 制造过程 绿色度评价 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TH247[自动化与计算机技术—控制科学与工程]