基于模糊逻辑的多传感器数据融合方法研究

A Research based on Fuzzy Logic for Multi-sensor Data Fusion

针对当前工业环境下温湿度采集和多传感器数据融合的特点和需求,文章提出了一种基于模糊逻辑的多传感器数据融合方法,该方法能够消除错误数据对判别当前环境下温湿度状态的影响。文章首先介绍了温湿度检测系统的硬件构成,然后以模糊集理论为基础,研究了传感器数据的模糊转换,最后给出了基于模糊综合评判的多传感器数据融合方法。试验结果表明,本系统具有很强的实用性和智能性.

According to the features and needs of collecting the data of temperature and humidity of current industrial environment, and the multi-sensor data fusion as well, this paper proposes an fuzzy logic based approach for the multi-sensor data fusion, this approach can remove the influence of incorrect data on evaluating the temperature and humidity of current environment. This paper first introduces the hardware construction of observation system of temperature and humidity. And then, based on fuzzy set theory, the paper investigates the methods for the sensor data fuzzy translation. Finally, a multi-sensor data fusion approach, which is based on fuzzy synthetic evaluation, is presented. The experiments identifies that the system has favorable performance in practicality and intelligence.