The invention relates to the technical field of computer vision, and discloses a power transmission line temperature prediction method comprising the following steps: 1) obtaining and processing infrared image data of a to-be-predicted power transmission line to obtain an image data set; and 2) inputting the image data set for calculation by adopting the trained CNN-LSTM-SVM network model to obtain a probability value of high temperature occurrence of the to-be-predicted power transmission line, and judging a prediction state of whether high temperature early warning occurs to the to-be-predicted power transmission line according to the probability value of high temperature occurrence of the to-be-predicted power transmission line. According to the power transmission line temperature prediction method and the application, the unmanned aerial vehicle is adopted to carry an infrared detection system, the CNN-LSTM-SVM model is used for predicting the high-temperature risk in advance, the line with the high-temperature risk is processed in advance, power transmission line faults caused by high temperature are avoided, the power transmission line with the risk is processed in time, losses are avoided, and the power transmission line temperature prediction efficiency is improved. The method has the advantages of high prediction precision, high convergence speed, high efficiency and the like.

    本发明涉及计算机视觉技术领域,且公开了一种输电线路温度预测方法,包括如下步骤:一)、获取待预测输电线路的红外图像数据并进行处理,获得图像数据集合;二)、采用训练好的CNN‑LSTM‑SVM网络模型,输入图像数据集合进行计算,得到待预测输电线路发生高温的概率值,并根据待预测输电线路发生高温的概率值,判断得到待预测输电线路是否高温预警的预测状态。该输电线路温度预测方法及应用,采用无人机搭载红外检测系统并使用CNN‑LSTM‑SVM模型提前对高温风险进行预测,对存在高温风险的线路提前进行处理,避免发生高温导致的输电线路故障,即时对存在风险的输电线路进行处理,避免损失,本发明具备预测精度高、收敛速度快、高效率等优点。


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    Titel :

    Power transmission line temperature prediction method and application


    Weitere Titelangaben:

    一种输电线路温度预测方法及应用


    Beteiligte:
    WANG NAN (Autor:in)

    Erscheinungsdatum :

    2023-07-25


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G01J Messen der Intensität, der Geschwindigkeit, der spektralen Zusammensetzung, der Polarisation, der Phase oder der Pulscharakteristik von infrarotem, sichtbarem oder ultraviolettem Licht , MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT / B64U / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



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