The invention discloses a traffic signal lamp fault automatic detection and diagnosis method based on an intelligent algorithm, and relates to the technical field of traffic management, the traffic signal lamp fault automatic detection and diagnosis method comprises a traffic signal lamp, a sensing layer, a transmission layer and an application layer, the sensing layer comprises a sensor and a single-chip microcomputer, the transmission layer comprises an NB-IOT wireless communication module, and the application layer comprises a server side, an intelligent gateway and terminal equipment. The sensor is provided with a current and voltage acquisition module which is responsible for detecting current and voltage parameters in a signal lamp power system, and a single-chip microcomputer preliminarily processes data from the sensor, uploads the data to a server through a wireless module, and is also responsible for receiving an instruction from the server to control the traffic signal lamp. According to the method, the Internet of Things technology, the wavelet transform preprocessing and the convolutional neural network (CNN) algorithm are combined, so that various types of faults, including non-electrical faults which are difficult to detect by a traditional method, can be identified more accurately.
本发明公开了一种基于智能算法的交通信号灯故障自动检测与诊断方法,涉及交通管理技术领域,包括交通信号灯、感知层、传输层和应用层,感知层包括传感器、单片机,传输层包括NB‑IOT无线通信模块,应用层包括服务器端、智能网关和终端设备,传感器设置有电流电压采集模块负责检测信号灯电力系统中的电流和电压参数,单片机初步处理来自传感器的数据,并通过无线模块上传数据到服务器,也负责接收来自服务器的指令用于控制交通信号灯。本发明中,通过结合物联网技术、小波变换预处理和卷积神经网络(CNN)算法,从而能够更准确地识别各种类型的故障,包括那些传统方法难以检测的非电气故障。
Traffic signal lamp fault automatic detection and diagnosis method based on intelligent algorithm
一种基于智能算法的交通信号灯故障自动检测与诊断方法
2024-07-30
Patent
Electronic Resource
Chinese
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