摘要
提出了一种基于串联式集装箱的动态单箱称重系统的设计方法。首先,介绍了该系统的硬件组成结构,构建了动态称重系统的模型;其次,采用RBF神经网络对系统模型进行了仿真,并建立了重心偏移自适应修正算法;最后,以Visual Studio2010为开发环境研发了一套动态单箱称重软件,该软件操作简单、实用性强,提高了集装箱动态称重效率。整个系统实现了模型构建、数据采集、算法仿真、数据存储、查询和打印等功能,并且称重误差率控制在3%以内,有较好的商业应用前景。
A weigh-in-motion(WIM) for a single container system based on tandem container was proposed.First,the composition structure of hardware in this system was introduced,and WIM model was established.Next,RBF neural network was used to simulated WIM model,and then a self-adjusting algorithm of gravity migration was founded.Finally,a WIM software for a single container with Visual Studio 2010 was developed.This software was simply operated and pragmatic,and also the efficiency of WIM was improved.In the whole system,model-building,data collection,Algorithm simulation,data storage,selection and printing are realized,and error ration of this system was less than 3%,therefore it has better business prospect in practice.
出处
《科学技术与工程》
北大核心
2012年第3期590-595,606,共7页
Science Technology and Engineering
基金
安徽省自然科学基金项目(11040606Q59)
常州市科技攻关项目(CE20100004)资助