EP4016495A1 - Procédé de diagnostic de commande - Google Patents

Procédé de diagnostic de commande Download PDF

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Publication number
EP4016495A1
EP4016495A1 EP20215696.4A EP20215696A EP4016495A1 EP 4016495 A1 EP4016495 A1 EP 4016495A1 EP 20215696 A EP20215696 A EP 20215696A EP 4016495 A1 EP4016495 A1 EP 4016495A1
Authority
EP
European Patent Office
Prior art keywords
current
characteristic values
voltage
signal
target
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP20215696.4A
Other languages
German (de)
English (en)
Inventor
Bernhard Evers
Stephan Griebel
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens Mobility GmbH
Original Assignee
Siemens Mobility GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens Mobility GmbH filed Critical Siemens Mobility GmbH
Priority to EP20215696.4A priority Critical patent/EP4016495A1/fr
Publication of EP4016495A1 publication Critical patent/EP4016495A1/fr
Withdrawn legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/095—Traffic lights
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/097—Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/10—Controlling the intensity of the light
    • H05B45/14—Controlling the intensity of the light using electrical feedback from LEDs or from LED modules
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/10—Controlling the intensity of the light
    • H05B45/18—Controlling the intensity of the light using temperature feedback

Definitions

  • the invention relates to a method for the activation diagnosis of a traffic light system.
  • the invention also relates to a method for training a neural network that can be used in the method for activation diagnosis, a control unit for a traffic signal system, a traffic signal system and a computer program for carrying out the method for activation diagnosis.
  • Traffic signals can include traffic lights for road traffic and signals for rail traffic.
  • the invention can be used both for traffic lights for road traffic and for signals for rail traffic.
  • Light signal systems can include light-emitting diodes (LEDs), with which various light signals can be given.
  • the light-emitting diodes or other light sources of the light signal systems can have characteristic current and/or voltage values. If a defect occurs during operation of the light signal system, this can be detected by a car driver or train driver recognizing and reporting the faulty light signal, for example if it is difficult to see or no longer lights up at all. If necessary, this can only take place with a time delay, with an exchange of the illuminant or the light-emitting diode taking up further time.
  • the object of the invention is to identify defects more quickly, better localized and automatically and to pass on information about the defect to a central location. Furthermore, one embodiment of the invention is based on the object of automatically taking first measures when a defect is detected.
  • the traffic light system has at least one lighting device and at least one control electronics, it also being possible for a plurality of lighting devices and a number of control electronics to be provided, for example one control electronics per lighting device.
  • the light signal system can comprise a traffic light for road traffic or a signal for rail traffic.
  • First, current and/or voltage characteristic values of the lighting device are tapped at the control electronics.
  • the current and/or voltage characteristic values are then evaluated using a trained neural network, the neural network having been trained to recognize deviations in the current and/or voltage characteristic values from target current and/or target voltage characteristic values. Deviations can also be referred to as anomalies.
  • Information is output if a deviation was detected during the evaluation of the current and/or voltage characteristic values.
  • the information can be output, for example, to a central point such as a traffic control computer in the case of a traffic light and to an interlocking in the case of a signal.
  • a central point such as a traffic control computer in the case of a traffic light
  • the deviations of the current and/or voltage characteristic values from the target current and/or target voltage characteristic values can take place faster and more reliably using the trained neural network than a defect being detected by a car driver or a train driver. As a result, the procedure enables a faster reaction, since information about defects is available to the responsible authorities more quickly.
  • the lighting device or the control electronics when the current and/or voltage characteristics are evaluated, it is recognized whether the lighting device or the control electronics are responsible for the deviation of the current and/or voltage characteristics from the target current and/or target voltage characteristics. This information is also output. As a result, maintenance can be improved, for example, since there can be better prioritization of several traffic signal systems when there are defects. Furthermore, suitable spare parts can be selected more easily and transported to the defective traffic signal system.
  • the traffic signal system has a control interface.
  • a target signal aspect is received via the control interface.
  • the target signal term can include what is to be displayed by the light signal system. In the case of a traffic light, this may include which of the traffic lights (red, amber, and green, for example) should be lit and which should not be lit. The same applies in the case of signals for which signal patterns of different colors can also be displayed. Furthermore, the target signal concept can also include a brightness of the displayed signal pattern or of the traffic lights, since, for example, a higher light output can be provided during the day due to the daylight than at night.
  • the control interface can be connected to the traffic control computer in the case of the traffic light and to the interlocking in the case of the signal.
  • the desired signal aspect can be output by the traffic control computer or the signal box.
  • the information is output via the control interface.
  • the information can be output to the traffic control computer in the case of the traffic light and to the signal box in the case of the signal. This enables central defect monitoring in the traffic control computer or in the signal box.
  • the lighting device includes an LED.
  • the control electronics include an LED signal transmitter.
  • the current and/or voltage characteristics include a current-voltage characteristic of the LED.
  • the current-voltage characteristic of the LED is well suited to detecting defective LEDs and also to detecting whether the LED signal generator is defective.
  • the lighting device includes a plurality of LEDs.
  • a voltage and/or a current for operational LEDs is increased.
  • each LED has its own LED beacon, even if one or more LEDs fail due to failure of the corresponding LED beacons, the voltage and/or current for operational LEDs may be increased. As a result, a required brightness of the signal pattern can be achieved at the expense of a service life for the LEDs, despite the failure of one or more LEDs.
  • the shortening of the service life that is possible in this embodiment is less relevant, since all LEDs are replaced after a short time.
  • a temperature is also measured, with the temperature being taken into account when evaluating the current and/or voltage characteristics.
  • the temperature can have an influence on the current and/or voltage characteristics, so that the method is based on different nominal current and/or nominal voltage characteristics at different temperatures.
  • the temperature can have an influence on a luminous color and/or a light output of LEDs.
  • the invention also includes a method for training a neural network.
  • current and/or voltage parameters of at least one lighting device of a traffic signal system are linked to correctly or incorrectly illuminated lighting devices by evaluating deviations in the current and/or voltage parameters from target current and/or target voltage parameters.
  • the neural network used in the method for activation diagnosis can be trained with this method.
  • the training can take place on the basis of test and/or simulation data.
  • a target signal aspect is also linked to the current and/or voltage characteristic values.
  • a traffic signal system is operated with the current and/or voltage characteristic values during the training.
  • the connection with correctly or incorrectly illuminated lighting devices is carried out by means of an optical evaluation of a signal displayed by the traffic signal system.
  • a camera can be used, for example, with which an actually operated traffic light system is filmed and the signal pattern is recognized.
  • a camera image can be evaluated with regard to a signal color or a signal brightness in order to identify lighting devices that are correctly or incorrectly lit.
  • the invention also includes a control unit for a traffic signal system, which is set up to have a lighting device to control the traffic light system by means of control electronics and thereby tap current and/or voltage characteristic values.
  • the control unit comprises a neural network trained using the method according to the invention and is also set up to evaluate the current and/or voltage characteristic values using the trained neural network and to output information if a deviation was detected when the current and/or voltage characteristic values were evaluated .
  • the control unit can therefore be set up to carry out the method according to the invention for activation diagnosis.
  • control unit also has a control interface.
  • the control unit is set up to receive a setpoint signal aspect via the control interface and, when evaluating the current and/or voltage characteristic values, to recognize whether the setpoint signal aspect is displayed.
  • the control unit is also set up, when it is determined that the setpoint signal aspect is not displayed, to also output information that there is a deviation.
  • the information is output via the control interface.
  • the lighting device includes one or more LEDs.
  • the control unit is set up to increase a voltage and/or a current for LEDs that are ready for operation if there is a deviation that is caused by the failure of one or more LEDs.
  • a required brightness of the signal pattern can be achieved at the expense of a service life for the LEDs, despite the failure of one or more LEDs.
  • the shortening possible in this embodiment is less relevant in terms of service life, since all LEDs are replaced after a short time.
  • the invention also includes a traffic signal system with a lighting device and a control unit according to the invention and a computer program which, executed on a control computer, causes the latter to carry out the method for activation diagnosis according to the invention.
  • FIG 1 shows a flow chart 100 of a method for the activation diagnosis of a traffic signal system.
  • the traffic signal system has at least one lighting device and at least one control electronics.
  • the procedure includes the following steps.
  • a tapping step 110 current and/or voltage characteristic values of the lighting device are measured at the control electronics tapped.
  • an evaluation step 120 the current and/or voltage characteristic values are evaluated using a trained neural network. The neural network was trained to recognize deviations in the current and/or voltage characteristics from target current and/or target voltage characteristics.
  • information is output if a deviation was detected during the evaluation of the current and/or voltage characteristic values.
  • the light signal system can comprise a traffic light for road traffic or a signal for rail traffic.
  • the information can be output, for example, to a central point such as a traffic control computer in the case of a traffic light and to an interlocking in the case of a signal.
  • the deviations of the current and/or voltage characteristic values from the target current and/or target voltage characteristic values can take place faster and more reliably using the trained neural network than a defect being detected by a car driver or a train driver. As a result, the procedure enables a faster reaction, since information about defects is available to the responsible authorities more quickly.
  • the lighting device or the control electronics are responsible for the deviation of the current and/or voltage characteristics from the setpoint current and/or voltage characteristics, and this information is additionally is output in output step 130.
  • FIG 2 shows a flow chart 100 of a further method for the activation diagnosis of a traffic signal system.
  • the tapping step 110, the evaluation step 120 and the output step 130 are as in connection with FIG FIG 1 explained designed. Further optional steps are also provided, with the optional steps each individually or in any combination in addition to the tapping step 110, evaluation step 120 and output step 130 can be carried out.
  • the traffic signal system can have an optional control interface.
  • a target signal aspect is received via the control interface.
  • the receiving step 140 is performed before the tapping step 110 is performed.
  • the information in output step 130 can be output via the control interface.
  • a temperature is measured.
  • the temperature measurement step is carried out between the tapping step 110 and the evaluation step 120 .
  • the temperature is taken into account since current and/or voltage characteristics of lighting devices can be temperature-dependent.
  • a luminous color and/or a light output for example of an LED, can depend on the temperature and this can also be done in the evaluation.
  • the receiving step 140 is not provided, the temperature measuring step 150 can be carried out before the tapping step 110 .
  • the lighting device includes an LED and the control electronics include an LED signal transmitter.
  • the current and/or voltage characteristics include a current-voltage characteristic of the LED. If the lighting device comprises a plurality of LEDs, a control adjustment step 160 can be provided in this exemplary embodiment, in which, in the presence of the deviation caused by the Failure of one or more LEDs is caused, a voltage and / or current for operational LEDs is increased.
  • FIG. 3 shows a neural network 200 in the evaluation step 120 of 1 and 2 can be used.
  • Current and/or voltage characteristic values are read into an input 210 in the neural network 200 .
  • the current and/or voltage characteristic values are classified in a hidden layer 220 and output 230 as to whether there is a deviation or no deviation from the nominal current and/or nominal voltage characteristic values.
  • several hidden layers 220 can also be provided in the neural network 200 .
  • current and/or voltage characteristic values of at least one lighting device of a traffic signal system are associated with correctly or incorrectly lit lighting devices by discrepancies in the current and/or voltage characteristic values from target current and/or target voltage characteristic values be evaluated.
  • a target signal aspect can also be linked to the current and/or voltage characteristics. This happens in each case in the hidden layer 220 or in several hidden layers 220.
  • a traffic light system is operated with the current and/or voltage characteristic values during the training.
  • the connection with correctly or incorrectly illuminated lighting devices is carried out by means of an optical evaluation of a signal displayed by the traffic signal system.
  • FIG 4 shows a diagram 300 in which a current 301 is plotted against a voltage 302.
  • a current-voltage characteristic curve 310 represents a typical progression of the current 301 and the voltage 302 of an LED, with no current 301 flowing up to a threshold voltage 303 and current 301 only flowing after the threshold voltage 303 has been exceeded. This represents a typical behavior of LEDs. If the LED is defective, the LED can be characterized by means of a shifted current-voltage characteristic 320, with the shifted threshold voltage 304 being greater than the threshold voltage 303.
  • Such a shift in the current-voltage characteristic curve 310 could, for example, result in a different classification with regard to a correctly working LED when training the neural network 200 .
  • Traffic light 410 has the arrangement, common in much of the world, of a red light 411 at the top, a yellow light 412 in the middle, and a green light 413 at the bottom.
  • the traffic light 410 is connected to a control unit 430, the control unit 430 being set up to switch the traffic light 410 and in particular the red light 411, the yellow light 412 and the green light 413.
  • the control unit 430 has control electronics 431 .
  • the control unit 430 also has a control computer 432 with which in the 1 and 2 procedure shown can be carried out.
  • the neural network 200 of the 3 be arranged in the control computer 432.
  • the control unit 430 has an optional control interface 433, with which the control unit 430 can be connected to a central point 440, configured here as a traffic control computer 441.
  • a signal aspect of the traffic light 410 can be provided by the traffic control computer 441 and received in the receiving step 140 by the control unit 430 via the control interface 433 .
  • the signal aspect can include which of the lighting devices 403 should light up.
  • the signal aspect can include, for example, that the red light 411 or the red light 411 and the yellow light 412 should light up simultaneously or that the yellow light 412 or the green light 413 should light up.
  • These are the signal terms typically used in Germany; other signal terms may also be used outside of Germany.
  • Lighting devices of the traffic light can be implemented using LEDs 401, with 5 it is shown that four LEDs 401 each are provided for red light 411, yellow light 412 and green light 413. Other numbers of LEDs 401 are also possible and also different numbers of LEDs 401 for red light 411, yellow light 412 and green light 413.
  • the control electronics 431 each have an LED signal generator 402 for each of the LEDs 401, i.e. a total of twelve LED signal generators 402, on. Currents and/or voltages of the LEDs 401 can be adjusted by means of the LED signal transmitters 402 and the LEDs 401 can thus be made to light up.
  • the 6 shows another light signal system 400, which is designed as a signal 420.
  • the signal 420 has the signal pattern with two red lights 421 , a yellow light 422 and a green light 423 that is usual in Germany. However, other signal patterns can also be provided.
  • the control unit 430 of the light signal system 400 of 6 is essentially identical to the control unit 430 of FIG 5 built and also optionally connected via the control interface 433 to a central point 440, which is however designed as a signal box 442.
  • a signal aspect of the signal 420 can be provided by the interlocking 442 and received in the receiving step 140 by the control unit 430 via the control interface 433 .
  • the signal aspect can include which of the lighting devices 403 should light up.
  • the signal aspect can include, for example, that both red lights 411 or the yellow light 412 and the green light 413 should light up at the same time or that the green light 413 should light up. These are the ones typically used in Germany Signal aspects, outside of Germany other signal aspects can also be used.
  • the LEDs 401 are operated during the day with an operating voltage of between 9.1 volts and 12.5 volts, typically between 10.6 and 11.0 volts and ideally at 10.8 volts.
  • the LEDs 401 can be operated with an operating voltage between 5.5 volts and 8.7 volts, typically between 7.0 and 7.4 volts, and ideally at 7.2 volts.
  • Resulting currents for the LEDs 401 of the red light 411, 421 can then be between 475 and 3100 milliamps, while resulting currents for the LEDs 401 of the yellow light 412, 422 or green light can be between 650 and 3100 milliamps.
  • These values can optionally be used as nominal current and/or nominal voltage characteristic values.
  • the signal aspect that is received in the receiving step 140 can also include whether the signal is to be displayed for the day or for the night and thus which operating voltages are to be used.
  • the red light 411, 421, the yellow light 412, 422 and the green light 413, 423 or the LEDs 401 of these can be interpreted as the lighting device 403 of the light signal system 400. If the lighting device 403, as in FIGS 5 and 6 shown, comprises a plurality of LEDs 401, if the current and/or voltage characteristic values deviate from target current and/or target voltage characteristic values, which is caused by the failure of one or more LEDs 401, a voltage and/or a current for operationally ready LEDs 401 are increased.
  • the light signal system 400 and the control unit 430 in contrast to the representations of 5 and 6 are arranged in a common housing.
  • a computer program for carrying out the method of 1 and 2 can be carried out on a control computer 432 and cause it to carry out the method.
  • FIG 7 shows a training arrangement 500 with which the neural network 200 of the control computer 432 can be trained.
  • the light signal system 400 (here the traffic light 410, but can also be used analogously for the signal 420) is arranged in such a way that the red light 411, yellow light 412 and green light 413 can emit in the direction of a camera 501.
  • the camera 502 is connected to an object recognition computer 502 .
  • the light signal system 40 is operated with the current and/or voltage characteristic values.
  • the connection with correctly or incorrectly illuminated lighting devices is carried out by means of an optical evaluation of a signal displayed by the traffic signal system 400. This optical evaluation is carried out by means of the camera 501 and the object recognition computer 502.
  • the object recognition computer can be set up, for example, to evaluate a brightness (to distinguish between day and night signals) or a wavelength (to distinguish between the light color) in order to identify the signal aspects.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
EP20215696.4A 2020-12-18 2020-12-18 Procédé de diagnostic de commande Withdrawn EP4016495A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP20215696.4A EP4016495A1 (fr) 2020-12-18 2020-12-18 Procédé de diagnostic de commande

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP20215696.4A EP4016495A1 (fr) 2020-12-18 2020-12-18 Procédé de diagnostic de commande

Publications (1)

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EP4016495A1 true EP4016495A1 (fr) 2022-06-22

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102014119623A1 (de) * 2014-12-23 2016-06-23 Pintsch Bamag Antriebs- Und Verkehrstechnik Gmbh LED-Lichtmodul, Signalleuchte mit einem solchen Lichtmodul sowie Verfahren zum Betreiben eines solchen Lichtmoduls
EP3124988A1 (fr) * 2015-07-31 2017-02-01 Siemens Aktiengesellschaft Circuit de commande de diodes electroluminescentes pour un emetteur de signal d'une installation de signal lumineux
US20190221114A1 (en) * 2016-11-16 2019-07-18 Hokyuen HUNG Intelligent control circuit and controller for traffic led signal lamp
EP3599595A1 (fr) * 2018-07-27 2020-01-29 Siemens Mobility GmbH Installation de signal lumineux à protection contre une attaque de mât

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102014119623A1 (de) * 2014-12-23 2016-06-23 Pintsch Bamag Antriebs- Und Verkehrstechnik Gmbh LED-Lichtmodul, Signalleuchte mit einem solchen Lichtmodul sowie Verfahren zum Betreiben eines solchen Lichtmoduls
EP3124988A1 (fr) * 2015-07-31 2017-02-01 Siemens Aktiengesellschaft Circuit de commande de diodes electroluminescentes pour un emetteur de signal d'une installation de signal lumineux
US20190221114A1 (en) * 2016-11-16 2019-07-18 Hokyuen HUNG Intelligent control circuit and controller for traffic led signal lamp
EP3599595A1 (fr) * 2018-07-27 2020-01-29 Siemens Mobility GmbH Installation de signal lumineux à protection contre une attaque de mât

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