Abstract

A two-level multisensor data fusion model is proposed to monitor animal breeding environment. The effectiveness of various sensors is judged by the first level of analysis, and the data are screened by calculating the optimal fusion set. The probability distribution function is calculated using fuzzy membership degree and the final decision is obtained using an improved information fusion approach based on D-S evidence theory by the second level of analysis. Conflict allocation is more reasonable when using the improved D-S and the fusion effect is better. Therefore, the real state of the piggery environment can be obtained based on the fusion result, so as to perform corresponding operations on the field equipment.

中文翻译：

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动物饲养环境监测多传感器数据融合模型研究

摘要

提出了一种两级多传感器数据融合模型来监测动物饲养环境。通过第一级分析判断各种传感器的有效性，通过计算最优融合集来筛选数据。利用模糊隶属度计算概率分布函数，并利用基于DS证据理论的改进信息融合方法通过第二级分析获得最终决策。使用改进后的DS，冲突分配更加合理，融合效果更好。因此，可以根据融合结果获得猪舍环境的真实状态，从而对现场设备进行相应的操作。