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Design and Application of Transmission Line Intelligent Monitoring System

机译:传输线智能监控系统的设计与应用

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This paper presents a design method of intelligent monitoring system for transmission lines based on artificial intelligence technology. In this design method, a low-power artificial intelligence chip - LieYing A101 is used to design an intelligent recognition module to realize real-time target recognition on a terminal device. In order to solve the problem that the original image and the input image resolution of the intelligent recognition module do not match, this paper uses a sliding window and convolutional neural network design method, which solves the image resolution mismatch problem and improves the recognition accuracy. Finally, for the problem of excessive network model size, feature channel weight pruning and 8-bit quantization methods are used to compress the network model to less than 10M, and the recognition accuracy is not sharply reduced. After the test set test and actual scene use, the external force destruction target recognition accuracy of the transmission line channel is high; this meets the application needs of customers.
机译:本文介绍了基于人工智能技术的传输线智能监控系统的设计方法。在这种设计方法中,低功耗人工智能芯片 - Lieying A101用于设计智能识别模块,以实现终端设备上的实时目标识别。为了解决原始图像和智能识别模块的输入图像分辨率不匹配的问题,本文使用滑动窗口和卷积神经网络设计方法,该方法解决了图像分辨率不匹配问题并提高了识别精度。最后,对于网络模型大小过度的问题,使用特征信道权重定制和8位量化方法用于将网络模型压缩到小于10米,并且识别精度不会急剧降低。测试设定试验和实际场景使用后,传输线通道的外力破坏目标识别精度高;这符合客户的应用需求。

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