Signal lamp red-yellow-green light fault monitoring method and device

Abstract

The invention provides a signal lamp red-yellow-green lamp fault monitoring method and device, wherein the signal lamp red-yellow-green lamp fault monitoring method comprises the specific steps: step 1, collecting the voltage and power values of each signal lamp when the signal lamp is turned on, and learning the collected data to obtain a learning template; and step 2, acquiring effective power value data for measuring the lighting period of each signal lamp in real time, comparing the effective power value data with the average value of the corresponding power value data in the learning template, and if the effective power value data of a certain signal lamp is smaller than a certain proportion of the average value, judging that the corresponding signal lamp fails. According to the invention, red, yellow and green light monitoring can be realized and the fault state can be accurately reported through small change of the intersection with the traffic signal lamps, and the method is reliable and economic.

Description

technical field [0001] The invention belongs to the technical field of road signal lamps, in particular to a method and device for fault monitoring of red, yellow and green lamps of signal lamps. Background technique [0002] The failure of the traffic signal lights, such as non-light, constant light, disorder, yellow flashing, etc., will affect the normal traffic order. At present, most of the traffic lights operating on the road are manually fed back to the maintenance personnel. The failure of the indication of the signal light may be caused by many factors such as the road traffic signal controller, the road traffic signal light and the connecting line; if it is found or repaired in time, it will affect the smoothness and even safety of the traffic. The method can monitor in real time whether the signal lamp is working normally, issue a fault alarm in time, judge the location and cause of the fault, and provide fast information for maintenance personnel. [0003] The c...

AI Technical Summary

Problems solved by technology

[0007] There are certain shortcomings in the existing methods: 1. The image recognition method is costly to implement, has poor independence, and is difficult to connect to the traffic signal system that has been installed and running.

2. The current detection method, when the voltage is unstable, the corresponding measured current is unstable, and the judgment threshold will deviate; and it is impossible to judge whether it is the fault of the traffic signal control terminal or the traffic signal light

3. Measure AC voltage and current. In the realization circuit, rectification and filtering make the measurement response time smaller, such as the flickering of signal lights cannot be effectively identified, especially when encountering traffic lights with flickering changes, the judgment error is large; In the design of high-frequency sampling, the cost and system complexity of dozens of channels of sampling will increase, and the accuracy and economy cannot be balanced

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