Traffic signal lamp fault cloud detection system based on MIMO antenna and AI algorithm

Abstract

The invention discloses a traffic signal lamp fault cloud detection system based on an MIMO antenna and an AI algorithm, and the system collects the video image, current and voltage, operation time and other data of a signal lamp in real time through installing a camera, a sensor and other devices on a traffic signal lamp pole; the MIMO antenna communication module is used for sending the acquired data to the cloud platform, so that the stability and the speed of signal transmission are enhanced; after the cloud platform receives and stores the data, an AI algorithm is used for carrying out intelligent analysis, including image recognition, data analysis and fault classification and positioning, on a signal lamp fault; and finally, remote monitoring and management of the signal lamp by operation and maintenance personnel are realized through a remote monitoring and management module. According to the invention, the traffic signal lamp fault can be accurately detected in real time, the fault detection efficiency and intelligent level are improved, the operation and maintenance cost is reduced, and the efficiency and quality of urban traffic management are improved.

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