| 摘要: |
| 为解决主动加热型分布式光纤测温技术在堤防渗漏监测中渗漏判别不明确等问题，基于中位数绝对偏差（MAD）的Z-score标准化算法，采用高斯滤波对AH-DTS堤防渗漏试验监测数据进行降噪处理，提取稳态温升特征值作为渗漏状态特征参数，结合空间连续性约束条件优化异常区段判定，提出了结合主动加热型分布式光纤测温(AH-DTS)技术与Z-score标准化分析的堤防渗漏判别方法。经堤防渗漏模型试验验证，该方法能有效识别渗漏引起的温度异常，其中稳态温升特征值可准确反映渗漏条件下的光纤热响应差异，鲁棒Z-score算法在噪声较强的现场监测条件下具备较好灵敏度、稳健性。 |
| 关键词: 堤防监测 Z-score 主动加热型分布式光纤 稳态温升特征值 渗漏判别 |
| DOI： |
| 分类号:TV649??? |
| 基金项目:国家重点研发计划资助（2025YFF1702800）、（2024YFC3210700） |
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| Z-score-based Discrimination Approach for Levee Seepage Using Active Heating Distributed Optical Fiber |
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zhouyanzhang, wuxiang, song chengjie, qianyi, zhangxian, hebin
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Nanjing Hydraulic Research Institute
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| Abstract: |
| To address the issue of unclear seepage discrimination criteria in levee monitoring using active heated distributed temperature sensing (AH-DTS) technology, this study proposes a seepage identification method that integrates AH-DTS with Z-score normalization analysis. Based on the Z-score standardization principle utilizing median absolute deviation (MAD), the method processes AH-DTS monitoring data from levee seepage experiments through Gaussian filtering for noise reduction. The steady-state temperature rise value is extracted as a characteristic parameter of the seepage state, and the identification of anomalous sections is optimized by incorporating spatial continuity constraints. Validation via a levee seepage model test demonstrates that the proposed method effectively identifies temperature anomalies induced by seepage. The steady-state temperature rise value accurately reflects the thermal response differences of the optical fiber under seepage conditions, while the robust Z-score algorithm exhibits high sensitivity and reliability in noisy field monitoring environments. |
| Key words: Levee Monitoring Z-score active-heating distributed temperature sensing (AH-DTS) characteristic steady-state temperature rise seepage identification |
