Study of multi-sensor data fusion based on adaptive batch estimation algorithm for gas monitoring

SUN Ke-lei; Qin Ru-xiang

doi:10.13873/j.1000-97872011.10.047

Chinese

您当前的位置：

首页 >

文章列表页 >

Study of multi-sensor data fusion based on adaptive batch estimation algorithm for gas monitoring

更新时间：2025-09-11

- Study of multi-sensor data fusion based on adaptive batch estimation algorithm for gas monitoring
- Vol. 30, Issue 10, Pages: 47-49(2011)
- 作者机构：
  
  安徽理工大学计算机科学与工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.10.047
  CLC： TP212.9
- Published：2011
- 稿件说明：
移动端阅览
[1]孙克雷,秦汝祥.基于自适应分批估计的瓦斯监测多传感器数据融合研究[J].传感器与微系统,2011,30(10):47-49.

SUN Ke-lei, Qin Ru-xiang. Study of multi-sensor data fusion based on adaptive batch estimation algorithm for gas monitoring[J]. 2011, 30(10): 47-49.
[1]孙克雷,秦汝祥.基于自适应分批估计的瓦斯监测多传感器数据融合研究[J].传感器与微系统,2011,30(10):47-49. DOI： 10.13873/j.1000-97872011.10.047.

SUN Ke-lei, Qin Ru-xiang. Study of multi-sensor data fusion based on adaptive batch estimation algorithm for gas monitoring[J]. 2011, 30(10): 47-49. DOI： 10.13873/j.1000-97872011.10.047.

摘要

针对瓦斯监测中多传感器监测数据的融合问题

提出了一种多源数据自适应分批估计算法。利用各组传感器局部融合值与最终融合值的方差自适应地调节各组的权重

通过多步融合逐渐弱化误差较大传感器组对最终融合值的影响。仿真实验表明:相对于平均值法与分批估计算法

该算法能有效地提高数据融合精度

能够满足瓦斯监测对实时性和精确性的要求。

Abstract

Aimed at multi-sensor data fusion for gas monitoring

a multi-source data fusion algorithm based on adaptive theory and batch estimation algorithm is conducted.The variance of each group partial fusion value and the final fusion value is used to adjust the weight of each group adaptively.This algorithm can weaken the influence of the group with big error through multi-step fusion.The simulation experiment shows that this method can improve the precision of data fusion compared with the average value method and batch estimation algorithm.It can meet real-time and accuracy requirements for gas monitoring.

关键词

Keywords

references

多传感器模糊信息融合在煤矿安全中的应用 [J]. 付华,高婷,刘洋. 传感器与微系统 . 2008(05)

基于数据融合理论的煤矿瓦斯动态预测技术 [J]. 邵良杉,付贵祥. 煤炭学报 . 2008(05)

煤自然发火实验温度监测系统 [J]. 王华,王连华. 煤炭学报 . 2006(01)

多传感器信息融合及应用[M]. 电子工业出版社 , 何友等著, 2000

高等数理统计学[M]. 中国科学技术大学出版社 , 陈希孺著, 1999

Views

211

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Coal mine gas monitoring strategy based on DEBA optimized weighted D-S evidence fusion

Abnormal gait evaluation model based on inertial sensor data fusion

Localization method combined vision and UWB based on factor graphs

Design and implementation of multi-protocol intelligent healthcare health information system

Indoor localization algorithm based on image processing and RSSI signal

Related Author

FU Hua

LIANG Xiaofei

LI Tao

SI Nannan

WANG Yongsong

LI Zhixin

ZHAO Guohui

DING Yin

Related Institution

College of Electrical and Control Engineering,Liaoning Technical University

Huludao Power Supply Company of Liaoning Electrical Power Company of State Grid

School of Computer Science and Artificial Intelligence,Changzhou University

School of Microelectronics and Control Engineering,Changzhou University

Department of Orthopedics,Changzhou Second People’s Hospital,Nanjing Medical University

⁰