Application of multi-sensor data fusion in piggery environment

TENG Cui-feng; ZHAO De-an; ZHAO Jian-bo

doi:10.13873/j.1000-97872009.12.035

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Application of multi-sensor data fusion in piggery environment

更新时间：2025-09-11

- Application of multi-sensor data fusion in piggery environment
- Vol. 28, Issue 12, Pages: 109-112(2009)
- 作者机构：
  
  江苏大学电气信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.12.035
  CLC： TP29-AG
- Published：2009
- 稿件说明：
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[1]滕翠凤,赵德安,赵建波.多传感器数据融合在猪舍环境中的应用[J].传感器与微系统,2009,28(12):109-112.

TENG Cui-feng, ZHAO De-an, ZHAO Jian-bo. Application of multi-sensor data fusion in piggery environment[J]. 2009, 28(12): 109-112.
[1]滕翠凤,赵德安,赵建波.多传感器数据融合在猪舍环境中的应用[J].传感器与微系统,2009,28(12):109-112. DOI： 10.13873/j.1000-97872009.12.035.

TENG Cui-feng, ZHAO De-an, ZHAO Jian-bo. Application of multi-sensor data fusion in piggery environment[J]. 2009, 28(12): 109-112. DOI： 10.13873/j.1000-97872009.12.035.

摘要

针对多变量耦合的猪舍环境

采用自适应加权算法和D-S证据推理算法相结合的方法

提出一种适用于猪舍环境监测的分布式多传感器体系结构和二级融合模型

对多传感器采集的温度、湿度和光照度信息进行融合

克服了单传感器带来的不确定性和不稳定性

增强了多传感器信息融合系统的鲁棒性。结果表明

这种方法提高了猪舍环境检测的准确度。

Abstract

Aimed at multi-variable coupled piggery environment

a method which combines self-adaptive weighting algorithm with D-S evidential reasoning algorithm is used.A distributed multi-sensor architecture and two-level fusion model for piggery environment monitoring is presented.This method of fusing temperature

humidity and light intensity from different sensors overcomes uncertainty and instability from single-sensor and enhances multi-sensor information system’s fault-tolerance and robustness.The result indicates that this method improves the accuracy of the detection of piggery environment.

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references

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数据融合技术及其应用[M]. 国防工业出版社 , 刘同明等编著, 1998

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