摘要
为了解决当前工厂物流系统离散度高、缺乏集成控制等问题,本文结合图像匹配,TCP耦合Socket通信,服务器Ajax等关键技术,设计了基于物联网的物流智能控制系统.首先,基于相机感光芯片与归一化积相关灰度,实现对物流监控端的图像匹配;然后将判断结果通过TCP协议与Socket通信,传送给服务器监听端程序;最后基于Ajax与SQL Server开发出服务器端的快速响应与决策功能,完成对物流机构端的智能控制.实验数据显示:与当前物流控制系统相比,面对相同物流量与离散程度时,本文物流智能控制系统的人力消耗更少、控制精细性更高、实时效率更高.
In order to solve the current problems such as factory logistics discrete degree is too high, the lack of precise control and so on,the logistics intelligent control system based on the Internet of Things was designed, which combined with image matching, coupling Socket TCP communications, server Ajax and other key tech- nologies. First of all, based on digital sensor chip and normalized product correlation grayscale, the image was matched on realization of logistics monitoring. Then the results of judgment were transmitted to the server to monitor program through TCP protocol and Socket communication. And finally, based on Ajax and used to de- velop server-side fast response and decision function, the logistics agency was intelligent control. Experimental data shows that compared with the traditional logistics control system, human consumption of this logistics intel- ligent control system is less, the control is more precise, and the real-time efficiency is higher when it facing the same logistics quantity, discrete degree.
出处
《鲁东大学学报(自然科学版)》
2016年第1期26-30,37,共6页
Journal of Ludong University:Natural Science Edition
基金
安徽高校自然科学研究重点项目(KJ2015A389
KJ2015A450)
安徽省对外科技合作计划项目(1403062028)
安徽省高校学科(专业)拔尖人才学术资助重点项目(gxbj ZD2016094)
关键词
物联网
物流智能控制
图像匹配
SOCKET通信
Internet of Things
logistics intelligent control
image matching
Socket communication