Traffic signal fault detection device with self-learning function and detection method thereof

Abstract

The invention discloses a traffic signal fault detection device with self-learning function and a detection method thereof, and belongs to the technical field of traffic signal automatic control and computer software application. The device comprises a current measurement circuit, a master controller, a non-volatile memory, a remote communication interface, a local communication interface and a clock circuit, wherein the current measurement circuit consists of a plurality of parallel current measurement branches; each branch consists of a current signal extraction circuit, a signal filtering circuit and an analogue / digital (A / D) conversion circuit; and a sampling resistor Rs is connected in series with a line between a signal controller and a signal lamp. The detection method comprises a learning state and a fault detection state which are switched with each other, and comprises the following steps of: comparing a measured signal lamp current value with data which is counted in learning time; and if deviations of current value of the signal lamp and signal lamp turn-off and turn-on period at any phase from the data counted in the previous learning time exceed preset thresholds, determining that a fault exists at the phase.

Description

technical field [0001] The invention belongs to the technical field of traffic electronic signal control and computer software application, and in particular relates to a traffic signal fault detection device with self-learning function and a detection method thereof. Background technique [0002] The normal work of the traffic signal system plays an important role in maintaining the normal order of urban traffic. When the traffic signal system fails, it often leads to traffic chaos or a decrease in the efficiency of vehicle traffic. Therefore, it is of great significance to discover and deal with traffic signal system failures in time for modern traffic management. For the fault judgment of the traffic signal signal system, it is usually judged by measuring the current value or voltage on the circuit of each traffic signal light. However, this method currently has some shortcomings: [0003] (1) The working current of different signal lamps is quite different, and in act...

AI Technical Summary

Problems solved by technology

This makes the current-based fault detection have misjudgments or false negatives. For example, for a signal lamp with a large operating current or a parallel signal lamp group, even if part of it is damaged, there is still a large operating current, and the detection device may not be able to find its fault; for A signal lamp with a small working current, even if it works normally, may be misjudged as a fault by the detection device due to the small current;

[0004] (2) Unable to stably detect faults such as electric leakage and poor contact

The increase of signal lamp line current due to leakage and the decrease of current due to poor contact may not be detected because the current change is smaller than the difference in normal operating current between different signal lamps;

[0005] (3) It is impossible to detect that the signal light is off and the lighting cycle is abnormal

For example, the setting of the signal controller is wrong or it is faulty, resulting in excessively long or insufficient lighting time and excessively long or insufficient extinguishing time of the signal lamp

These failures can also cause traffic chaos;

[0006] (4) It cannot handle the different settings of the signal lamp lighting and extinguishing cycles in different periods

Failure to account for the normal variance caused by such time periods will result in false positives

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