Traffic light fault detection system based on machine learning

A fault detection and machine learning technology, applied in the direction of lamp testing, etc., can solve problems such as increasing the risk of traffic accidents and easy failure of traffic lights, and achieve the effect of high learning and intelligence

Pending Publication Date: 2018-09-14
LUMLUX CORP
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AI Technical Summary

Problems solved by technology

However, with the long-term use of traffic lights, traffic lights are prone to failure
During times when traffic lig

Method used

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  • Traffic light fault detection system based on machine learning

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Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0019] Such as figure 1 As shown, the traffic light fault detection system based on machine learning of the present invention includes: a detection terminal 1 , a remote detection center 2 and a communication module 3 .

[0020] The detection terminal 1 is used to detect and collect signals such as current and voltage of traffic lights in the covered area. Specifically, the detection terminal 1 is integrated in a traffic light, and the detection terminal 1 in...

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Abstract

The invention provides a traffic light fault detection system based on machine learning. The system comprises detection terminals, a remote detection center and communication modules, wherein the detection terminals are integrated in traffic lights, and each detection terminal comprises a current detection unit, a voltage detection unit and a time detection unit; the remote detection center transmits data with the detection terminals through the communication modules and comprises a detection data processing unit, a display unit and a compensation unit; the detection data processing unit receives and processes detection data from the detection terminal and comprises a learning type chip, and the display unit and the compensation unit are connected with the detection data processing unit. The system can detect running conditions of traffic lights in a covered area in real time, send detection data to the detection center for processing and display, and faulted traffic lights can be timely checked. Besides, the system can actively compensate errors for the detection data and has higher learning performance and intelligence.

Description

technical field [0001] The invention relates to the technical field of traffic light fault detection, in particular to a traffic light fault detection system based on machine learning. Background technique [0002] With the development of urbanization, traffic lights play a vital role in maintaining the order of urban traffic. However, with the long-term use of traffic lights, traffic lights are prone to failure. During times when traffic lights are out of order, traffic is often in a state of disorder, which in turn increases the risk of traffic accidents. Therefore, it is necessary to propose a further solution for how to timely detect and discover the traffic lights that have failed. Contents of the invention [0003] The present invention aims to provide a traffic light failure detection system based on machine learning and components of the machine learning-based traffic light failure detection system to overcome the deficiencies in the prior art. [0004] In order...

Claims

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Application Information

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IPC IPC(8): G01R31/44
CPCG01R31/44
Inventor 邱明
Owner LUMLUX CORP
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