夏峻;白英;郭科;邵雪瑾;张志龙;

• 1:宁夏宁电电力设计有限公司变电设计中心
• 2:南京立思辰智能设备有限公司

摘要(Abstract)：

在变电站巡检的过程中，巡检员需要对端子排的电缆套管标号进行录入，由于传统的字符识别方法难以应对变电站字符密集、字体细小等问题，巡检员往往只能够依赖人工手段对电缆套管标号进行核查。因此，为了提高巡检的智能化水平和巡检效率，需要设计一种新型的端子排自动化字符识别方法，提高变电站场景下的字符识别性能，从而代替高重复高强度的人工劳动。针对上述问题，本文提出一种基于LSTM文本区域融合的端子排字符识别方法。论文将本文提出的新方法与两种代表性的光学字符识别方法进行了对比实验，实验结果显示，本文所提出的方法在字符识别性能上具有明显优势。

关键词(KeyWords)： 端子排;光学字符识别;字符检测;文本区域融合;文本内容识别

Abstract:

Keywords:

基金项目(Foundation):

作者(Authors): 夏峻;白英;郭科;邵雪瑾;张志龙;

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