数据融合算法在农药残毒检测系统中的应用

Data Fusion Algorithm in Pesticide Residue Testing System

农药残毒检测在食品安全监管的过程中具有重要意义。通过自行设计的微型农药残毒快速检测仪对不同浓度的敌百虫溶液进行了多组测量。试验结果表明,大于最低检出值的溶液浓度与发光强度之间呈线性关系。在概率融合意义下定义模糊支持区间和模糊支持概率,将一种适合于单传感器重复采样的数据融合方法应用于农药残毒检测数据的处理中,克服了传统数字滤波方法在抗干扰方面的不稳定性,达到快速、准确检测的目的。

The examination of agricultural chemicals and residual toxicity play an important role in food safety control.Different concentration of dipterex were measured with the mini agricultural chemicals and residual toxicity fast examination instrumentation designed by our group.The result indicated that the linear relationship between the concentration of tested agricultural chemicals and luminous intensity value were established.Defines the fuzzy support sector and the fuzzy support probability in the probability fusion significance,and applied one kind in the single sensor redundant sampling data fusion method in agricultural chemicals residual poison examination data processing,which successfully overcome the tradition digital filtering method in the aspect instability,and realize the aim of fast and accurate test the residual toxicity in samples.