盐穴造腔时调控腔体形态的关键因素是控制阻溶剂与卤水界面的深浅，而阻溶剂与卤水界面的准确监测又是其控制的前提条件。当前的两相介质界面监测技术存在实时性差、精度不高等缺点。提出了一种针对造腔井内两相介质监测的专用算法。利用分布式光纤采集腔内垂直方向的温度数据，并对原始温度曲线分别进行局部加权回归分析和卡尔曼滤波处理。通过对处理后的曲线进行差分运算，识别出温差变化最明显的区域，初步确定两相介质的界面位置。然后，对初步定位区域内的温度曲线进行卷积平滑滤波处理，计算卷积平滑滤波曲线的加权变化率，找到温度变化率的最值点，最终确定两相介质交界面的具体位置。该算法通过实际工况下造腔两相介质界面监测。实验结果表明，该系统获取的测量数据与中子测井法所得结果相比，其误差控制在了0.3 m的范围内。本文算法相较于传统的光纤监测技术，具有操作简单、测量精度和可靠性高的优点。

The key factor to control the shape of salt cavern cavity is to control the depth of the interface between solvent and brine, and the accurate monitoring of the interface is the prerequisite for its control. The current two-phase media interface monitoring technology has the disadvantages of poor real-time performance and low precision. A special algorithm for two-phase media monitoring in cavity well was proposed. Distributed optical fiber was used to collect the temperature data in the vertical direction of the cavity, and the original temperature curves were respectively processed by local weighted regression analysis and Kalman filtering. Through the difference calculation of the treated curve, the region with the most obvious temperature difference was identified, and the interface position of the two-phase medium was preliminatively determined. Then, the temperature curve in the initial location area was processed by convolutional smoothing filtering, the weighted rate of change of the convolutional smoothing filter curve was calculated, the maximum value of the temperature change rate was found, and the specific location of the interface of the two-phase medium was finally determined. The algorithm was used to monitor the interface of two phase media under actual conditions. The experimental results show that the error of the measured data obtained by this system is controlled within 0.3 m compared with that obtained by neutron logging method. Compared with the traditional optical fiber monitoring technology, the proposed algorithm has the advantages of simple operation, high measurement accuracy and high reliability.