Study on data fusion technology based on expert knowledge

WANG Li-gang; MU Hai-wei; ZHANG Yong

doi:10.13873/j.1000-97872007.10.024

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Study on data fusion technology based on expert knowledge

更新时间：2025-09-11

- Study on data fusion technology based on expert knowledge
- Issue 10, Pages: 60-62(2007)
- 作者机构：
  
  1. 大庆石油学院电子科学学院
  2. 大庆石油学院电子科学学院,黑龙江,大庆,163318
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872007.10.024
  CLC： TP182
- Published：2007
- 稿件说明：
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[1]王立刚,牟海维,张勇.基于专家知识的数据融合技术研究[J].传感器与微系统,2007(10):60-62.

WANG Li-gang, MU Hai-wei, ZHANG Yong. Study on data fusion technology based on expert knowledge[J]. 2007, (10): 60-62.
[1]王立刚,牟海维,张勇.基于专家知识的数据融合技术研究[J].传感器与微系统,2007(10):60-62. DOI： 10.13873/j.1000-97872007.10.024.

WANG Li-gang, MU Hai-wei, ZHANG Yong. Study on data fusion technology based on expert knowledge[J]. 2007, (10): 60-62. DOI： 10.13873/j.1000-97872007.10.024.

摘要

分析了多传感器数据融合技术的优点和存在的问题

提出了基于专家知识的数据融合方法

给出了数据融合模型

并对数据的采集、融合方法及可行性进行了分析和研究

并结合实例进行了应用说明

基于专家知识的数据融合技术不存在复杂的数学运算和一些难以确定的参量

相对简单

实用性强

可广泛应用于多传感器系统中的数据融合。

Abstract

The advantages and problems of the multi-sensor data fusion technology are analysed

the methods of the data fusion based on the expert knowledge are suggested

the model of the data fusion is given

and the methods and feasibility of the data acquisition and fusion are analyzed and studied

and the applications combining the examples are shown.The data fusion technology based on the expert knowledge doesn’t contain the complicated mathematical operations and some parameters which are difficult to ascertain.It is comparatively simple

has very strong practicability

and can be widely applied in the data fusion of the multi-sensor system.

关键词

Keywords

references

知识表示方法研究与应用 [J]. 年志刚,梁式,麻芳兰,李尚平. 计算机应用研究 . 2007(05)

基于数据融合与专家系统的发动机故障诊断系统 [J]. 孙培峰. 农机化研究 . 2006(10)

基于知识规则的发动机磨损故障诊断专家系统 [J]. 陈果,左洪福. 航空动力学报 . 2004(01)

多传感器数据融合技术的现状及展望 [J]. 姜万录,李冲祥,刘继刚. 机床与液压 . 2003(03)

数据融合在目标识别中的应用 [J]. 刘俊,付敬奇,董新平. 传感器技术 . 2001(06)

D-S证据理论数据融合方法在目标识别中的应用 [J]. 蓝金辉,马宝华,蓝天,周兆英. 清华大学学报(自然科学版) . 2001(02)

多传感器信息融合决策研究 [J]. 梁百川. 航天电子对抗 . 1994(03)

Some remarks on Kalman filters for the multisensor fusion [J] . J.B. Gao,C.J. Harris. Information Fusion . 2002 (3)

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