大差异复杂设备下的物联网故障容差性定位方法研究

Big Difference of Complex Equipment Things Networking Fault Tolerance Sexual Orientation Method

物联网系统复杂程度越来越高,不同设备的节点属性存在较大差异,传统的设备故障定位算法无法建立清晰的描述模型,故障节点定位不准;为了解决这一问题,提出了一种基于融合性故障信息残差修正的复杂物联网设备故障定位方法;通过设计以CC2430为基础的故障采集节点与协调节点硬件模块,对不同类型的传感器反馈信息进行采集;对采集的结果运用统一的测距结果表示,依据节点的属性构建节点距离函数;使用节点距离运算残差纠正模型,对粗糙的节点定位数据,进行非线性变换,保证复杂设备组成的物联网节点的故障位置定位的准确性;系统集成测试结果证明,该方法能够较大幅度提高复杂物联网结构下故障节点定位的准确性,95%的定位结果误差都小于0.5m,定位精度提高了40%。

Things networking system is becoming more and more complex, different equipment node attribute is put in bigger difference, the traditional equipment fault location algorithm can not establish clear description model, fault node location is not allowed. In order to solve this problem, this paper puts forward a fault information integration based on residual correction of complex things networking equip mcnt fault location method. Through the design with CC2430 based fault acquisition node and coordinating node hardware module, for differ- ent types of sensor feedback information acquisition. To collect the results using the unified ranging results said that, according to node at-tributes construct node distance function. Using node distance operation residual error correction model, rough node location data, conduct nonlinear transformation, ensure the equipment composition complex things networking node fault positioning accuracy. System integration testing results show that this method can significantly improve the complex things networking structure fault node positioning accuracy, 95% of positioning results error is less than 0. 5 m, positioning accuracy increased by 40%.