摘要
针对目前舰船总体设计过程中电气图纸设计自动化程度低、人力消耗大、易出错等问题,提出一种融合先验规则和深度学习、统筹布局和布线、可应用于工程实践的电气图纸自动化布局方法.首先,根据当前舰船电气原理图布局的拓扑特点,基于树状图拓扑结构提炼出典型的先验规则;其次,以电气连接关系为输入,自动化生成初步电气原理图;最后,采用奇异值分解方法提取连接关系特征,并使用深度神经网络对初步电气原理图参数进行优化.选取某型舰船的7张典型图纸开展应用验证,结果表明:①所提方法可在保证图纸连接关系正确的基础上,实现自动化电气设计布局布线任务,②在大样本的布线试验中,99.1％的图纸都能在10秒内完成布线.所提方法可以应用在所有连接关系为树状拓扑或可以转化为树状拓扑的电气布线任务中,实现电气图纸正确、快速、合理的自动化布线布局,有效提高电气布局布线工作中的自动化程度,进而提高舰船的总体设计能力和效率.
Abstract
Aiming at the problems of low automation degree of electrical drawing design,high labor consumption and er-ror-proneness in the current ship overall design process,an automatic layout of electrical drawings that integrated prior rules and deep learning,overall layout and wiring was proposed,which could be applied to engineering practice.Ac-cording to the topological characteristics of the current ship electrical schematic layout,the typical prior rules were ex-tracted based on the topology structure of the tree diagram;the electrical connection relationship was used as the input to automatically generate the preliminary electrical schematic diagram;the singular value decomposition method was used to extract connectivity features,and preliminary electrical schematic parameters were optimized using a deep neural network.Seven typical drawings of a certain type of ship were selected to carry out application verification.The results showed that:①the proposed method could realize the task of automatic electrical design layout based on ensuring the correct connection relationship between drawings;②in the wiring of large samples 99.1％of the drawings could be routed within 10 seconds.This technology could be applied to all electrical wiring tasks where the connection relation-ship was a tree topology or could be converted into a tree topology to achieve correct,fast and reasonable automatic wiring layout of electrical drawings,which effectively improved the degree of automation in electrical layout and wiring work and the overall design capability and efficiency of the ship.
基金项目
国防基础科研项目(JCKY2022206B002)
NETL
NSTL
万方数据