计算机工程与科学2012，Vol.34Issue(11)：135-140,6.DOI:10.3969/j.issn.1007-130X.2012.11.024
基于OPC技术的DPS多传感器在线实时数据的采集与滤波
Online Real-Time Data Collection and Filter of DPS Multi-Sensors Based on OPC Technology
摘要
Abstract
In ship dynamic positioning systems, it is difficult to share real-time data, due to the heterogeneity of multi-sensors from different devices. The large fluctuation of the collected data often causes frequent adjustment of the controller, resulting in excessive actions of the actuator on board and increasing the mechanical wear of the devices. To tackle this problem, in this paper, we deveipp a reliable and high-speed method of data communication among a host computer, main controller and sensors by u-sing OPC technology and VC++ programming. Experimental results suggest that our new method can realize online real-time data filtering that meets project needs.关键词
Kalman滤波/船舶动力定位/OPC技术/在线数据Key words
Kalman filter/ship's dynamic positioning/OPC technology/online data分类
信息技术与安全科学引用本文复制引用
熊建斌,王钦若,徐维超,叶宝玉,张景鸿,李振坤..基于OPC技术的DPS多传感器在线实时数据的采集与滤波[J].计算机工程与科学,2012,34(11):135-140,6.基金项目
广东省重大科技专项(2009A080202006) （2009A080202006）
广州市番禺区科技攻关项目(2010-Z-43-1) （2010-Z-43-1）
广东省科技计划(粤财教[2009]83号) （粤财教[2009]83号）
