审计信息系统全覆盖联网数据精准定位方法

针对传统数据定位方法中存在的定位精度较低、时间较长等问题，提出审计信息系统全覆盖联网数据精 准定位方法。采用近邻方法对审计信息系统全覆盖联网数据关联进行分析，引入相关品质函数理论，将传感器 获取的多特征数据转入到关联判决过程，计算关联测度。在此基础上，根据关联测度的计算结果，通过改进的 KCF 算法组建目标跟踪器，利用跟踪器获取目标具体的运行状态，采用数据关联算法得到目标相对应的跟踪集 以及检测集，根据加权融合三特征的跟踪结果，准确获取审计信息系统中各个目标数据的具体位置，实现数据 精准定位。仿真实验结果表明，所提方法能快速准确获取审计信息系统全覆盖联网数据的具体位置。

Accurate Positioning Method for Full Coverage Network Data of Audit Information System#br#

In order to solve the problems of low positioning accuracy and long time in traditional data positioning methods，an accurate positioning method for audit information system with full coverage network data is proposed． The nearest neighbor method is used to analyze the full coverage network data association of the audit information system，the correlation quality function theory is introduced to transfer the multi-feature data obtained by the sensor into the process of association decision，and the correlation measure is calculated． According to the calculation results of the correlation measure，the target tracker is constructed through the improved KCF algorithm，and the specific running state of the target is obtained by using the tracker． The tracking set and the detection set of the target are obtained by using the data association algorithm． According to the data association algorithm，the tracking set and the detection set of the target are obtained． The tracking results of weighted fusion of three features can accurately obtain the specific position of each target data in the audit information system， realizing the accurate positioning of the data． The simulation results show that the proposed method can quickly and accurately obtain the specific location of the full coverage network data of the audit information system．