Application of multi-sensors information fusion in greenhouse humidity detection

ZHANG Han-fei; CHEN Ming; CHI Tao; FENG Guo-fu

doi:10.13873/j.1000-97872011.06.010

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Application of multi-sensors information fusion in greenhouse humidity detection

更新时间：2025-09-11

- Application of multi-sensors information fusion in greenhouse humidity detection
- Vol. 30, Issue 6, Pages: 129-130+134(2011)
- 作者机构：
  
  上海海洋大学信息学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.06.010
  CLC： TH811;TH837;TP212.1
- Published：2011
- 稿件说明：
移动端阅览
[1]张韩飞,陈明,池涛,冯国富.多传感器信息融合在温室湿度检测中的应用[J].传感器与微系统,2011,30(06):129-130+134.

ZHANG Han-fei, CHEN Ming, CHI Tao, et al. Application of multi-sensors information fusion in greenhouse humidity detection[J]. 2011, 30(6): 129-130+134.
[1]张韩飞,陈明,池涛,冯国富.多传感器信息融合在温室湿度检测中的应用[J].传感器与微系统,2011,30(06):129-130+134. DOI： 10.13873/j.1000-97872011.06.010.

ZHANG Han-fei, CHEN Ming, CHI Tao, et al. Application of multi-sensors information fusion in greenhouse humidity detection[J]. 2011, 30(6): 129-130+134. DOI： 10.13873/j.1000-97872011.06.010.

摘要

针对温室环境复杂、温室湿度变化明显等特点

采用多传感器信息融合方法对采集的温室湿度进行数据融合。传统温室湿度采用平均值算法进行数据的融合

具有融合结果误差较大、无法消除传感器失效产生的误差等缺点

采用模糊C均值（FCM）聚类算法对温室湿度进行数据融合

结果显示:FCM算法优于平均值算法

提高了检测的准确性。

Abstract

Aimed at the characteristics of the complicated environment and the change of humidity in green house

the multi-sensors information fusion method is used to fuse the humidity data.The traditional Average algorithm has disadvantage of large errors in fusion and sensors’ mistakes.The fuzzy C-means（FCM） algorithm is used to fuse the data.The result shows that the FCM is better than Average algorithm

and it improves the accuracy of the detection.

关键词

Keywords

references

一种模糊传感器数据融合的方法 [J]. 邓勇,施文康,赵春江. 上海交通大学学报 . 2003(01)

发达国家温室设施自动化研究的现状 [J]. 于海业,马成林,陈晓光. 农业工程学报 . 1997(S1)

机器人感觉与多信息融合[M]. 机械工业出版社 , 罗志增,蒋静坪著, 2002

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