【摘要】 接触网系统是轨道交通和高速铁路电力列车主要的供电设备，稳定电流传输和高精度的数据检测是安全重要基础。目前对高空接触网数据测量主要有静态和动态两种检测方式。首先，文中分析传统的接触网高空测量设备，包括摄像相机图像成像、超声波和激光测距方式。其次，建立数据管理和处理软件，发现数据存在归类困难、波动辨识度低、自动区分误差数据精准度低等缺点。最后，通过实验室模拟计算，将基于自适应算法的模糊辨识理论引入数据管理系统软件，建立接触网辨识模型，现场测量数据自主修正误差率提高约17%,测量数据响应时间提升20%,具有较强的实践应用意义。更多还原

【Abstract】 The overhead contact system is the main power supply equipment for rail transit and high-speed railway electric trains. Stable current transmission and high-precision data detection are important foundations for safety. Currently, there are mainly static and dynamic detection methods for measuring and processing high-altitude contact network data. Firstly, the paper analyzes traditional high-altitude measurement equipment for overhead contact lines, including camera imaging, ultrasonic and laser ranging methods; secondly, it establishes the software data management and processing system to analyze data, which has the disadvantages such as difficulty in classification, high fluctuations in identification and low accuracy in automatically distinguishing error data; finally, through laboratory simulation calculations, the fuzzy identification theory based on adaptive algorithms is introduced into the data management system software to establish a contact network identification model. The self-correction error rate of on-site measured data increases by about 17%, and the response time of measured data increases by 20%, which has strong practical application significance.更多还原