摘要
农业物联网在农业温室大棚应用非常广泛,传感器采集温室大棚的各项参数是非常重要的环节。温室大棚中的传感器由于硬件和位于大棚中的地理位置等原因导致传感器数据不精准。针对这一问题本文提出了一种基于信任度的多传感器数据融合方法。通过定义指数信任度函数的方法,利用指数函数的特征对传感器监测的传感数据间的信任程度进行量化处理,利用信任度矩阵计算每个传感器采集温度数据的信任程度,并根据信任程度在数据融合时合理的分配权重,推导出数据融合公式,实现多传感器数据融合的目标。分析温室大棚温度数据融合结果可知,经过数据融合后的温度数据更加的精准,贴近实际情况和更好的参考价值,从而能够更好地指导农业生产,提高产量。
The application of agricultural Internet of things is very wide in the greenhouse, and it is a very important link to collect all the parameters of the greenhouse. Sensors in the greenhouse are inaccurate because of their hardware and location in the greenhouse. In this paper, a multisensor data fusion method based on trust degree was proposed. Through the method of defining exponential trust degree function, it used the characteristics of exponential function to conduct quantitative disposal for the trust degree of data monitored by sensors, and the matrix of trust degree to calculate the trust degree of monitored temperature data. According to the weight distribution of trust degree in data fusion, it derived data fusion formula to realize the target of multisensor data fusion. The analysis of greenhouse temperature data fusion results showed that the temperature data after data fusion was more precise, and close to the actual situation with better reference value, so as to better guide agricultural production and increase output.
出处
《农业网络信息》
2017年第12期130-132,共3页
Agriculture Network Information
关键词
农业物联网
数据融合
信任度
agricultural Internet of things
data fusion
trust degree
