生猪养殖环境监测多传感器数据融合模型研究  

Multi-Sensor Data Fusion Models for Monitoring Pig Breeding Environment

作　　者：钟旭[1] 江文[1] 朱幸辉[1] 

机构地区：[1]湖南农业大学信息科学技术学院,湖南长沙410128

出　　处：《湖南农业科学》2016年第3期90-95,共6页Hunan Agricultural Sciences

基　　金：国家科技支撑计划(2013BAD15B02)

摘　　要：近年来,随着国家农业信息化进程的不断推进,在农业领域应用多传感器数据融合技术越来越受到学者们的重视。生猪养殖是湖南省的传统优势产业,研究生猪养殖环境监测多传感器数据融合技术,有利于提高我省生猪养殖的信息化、科学化水平。本文以对生猪养殖环境的监测为研究背景,对猪舍中温度、湿度、氨气浓度、二氧化碳浓度进行实时监测,利用提出的两级多传感器数据融合模型对观测数据进行融合,最终得到对实验猪舍实际情况的综合判断,并给出相应的环境调控意见,保证生猪能在适宜的环境中成长。In recent years, with the advancement of agricultural informationization process in China, researchers have paid more and more attention to the application of multi-sensor data fusion technology in agricultural area. Pig breeding is the traditional superior industry of Hunan province, and studying the multi-sensor data fusion technology of monitoring pig breeding environment is helpful to improve the informationization and scientific level of pig breeding in Hunan province. Based on the background of monitoring pig breeding environment, the study conducted real-time monitoring of temperature, humidity, ammonia and carbon dioxide concentration in the piggery. It used the proposed two-stage multi-sensor data fusion model to process the observed data, obtained a synthetic judgment on the actual situation of the experimental piggery, and provided relevant environmental regulatory suggestions to ensure that pigs could live in an appropriate environment.

关 键 词：多传感器 数据融合 模糊集 DS证据理论 生猪养殖 

分 类 号：TP14[自动化与计算机技术—控制理论与控制工程]