基于本福特定律的桥梁健康监测数据审计方法

Benford’s Law Based Bridge Health Monitoring Data Audit Method

摘要:

结构检监测数据是确保结构运营状态良好、提供维护决策的基础。结构数据通常以人工检测、传感器采集为主，核实难度大、获取成本高。由于缺少有效数据审计方法，健康监测数据精度、可靠性无法检验，影响基础设施管养与结构运营。提出了基于本福特定律的桥梁健康监测数据审计方法，以人工检测裂纹长度、桥梁加速度数据为例开展实例分析，分析结果表明本福特定律对于结构检监测场景中自然形成数据具有较好适应性，可有效识别数据特征、反映数据异常。

Abstract:

The reliability of structural inspection and monitoring data is the key basis for understanding the operation state of the structure and providing maintenance decisions. The structural data are usually acquired by manual inspection or sensors， whose quality is difficult to be verified. As a result， there is a lack of an effective approach for data audit， the accuracy and credibility of manual monitoring data cannot be effectively tested， which may affect infrastructure management and structure operation. Therefore， a bridge health monitoring data audit method is proposed based on Benford’s law， and two typical experiments of crack length data and accelerator data are employed and analyzed. The results indicate that Benford’s law has a good adaptability in structural data audit and it can effectively identify the data characteristics， reflecting the abnormal data.