KR102256714B1 - System for auxiliary signaling of intersection - Google Patents

Abstract

Disclosed is a system for auxiliary signaling of a crosswalk. The system for auxiliary signaling of a crosswalk according to one embodiment of the present invention forms a detection signal when detecting an object passing through a crosswalk using an infrared band sensor, and forms a light emit diode (LED) lighting signal based on the detection signal, extracts a first LED indicator located within a preset distance from the crosswalk by using location information included in the detection signal and location information of at least one LED indicator, transmits the LED lighting signal to the first LED indicator, and receives the LED lighting signal to allow the LED indicator to flicker for a preset period of time. When an object approaches the crosswalk, only the LED indicator within a certain distance from the crosswalk flickers.

Description

Pedestrian crossing auxiliary signaling system {SYSTEM FOR AUXILIARY SIGNALING OF INTERSECTION}

The following embodiments relate to a pedestrian crossing auxiliary signal system.

As a background technology related to the embodiments, Korean Patent Laid-Open Publication No. 10-2005-0111070 discloses a digital flat signal device for safely driving by notifying a signal to a driver in letters. Republic of Korea Patent Publication No. 10-2005-0111070 is a digital flat signal device that informs the driver by inputting traffic information into a semiconductor chip, and traffic conditions that can monitor traffic safety and control traffic conditions by viewing a screen in a control room. Start the camera. Korean Patent Laid-Open Publication No. 10-2005-0111070 enables the driver to see and sense danger due to the blinking of a red warning light on the entire control device so that pedestrians can safely cross a pedestrian crossing.

Korean Patent Laid-Open Publication No. 10-2019-0079004 calculates the appropriate separation distance for a two-stage crosswalk that takes into account the advancing traffic at the roundabout, and secures a vehicle waiting space during the pedestrian signal, thereby maintaining the original function of the roundabout. Disclosed is an apparatus and method for operating a two-stage crosswalk of a roundabout that improves efficiency. Republic of Korea Patent Publication No. 10-2019-0079004 is a traffic detector installed at each access road of a roundabout and counting the number of vehicles entering the roundabout, and a two-stage installed spaced apart from the yield line of the roundabout. A two-stage crosswalk operating device for a pedestrian crossing, which includes a pedestrian traffic light installed at the crosswalk and a traffic light management device that controls the signal system of the pedestrian traffic light by detecting the number of vehicles entering the roundabout through a traffic volume detector. Start. Korean Patent Laid-Open Publication No. 10-2019-0079004 calculates the proper separation distance for a two-stage crosswalk that takes into account the advance traffic volume of the roundabout, and secures a vehicle waiting space during the pedestrian signal, thereby maintaining the original function of the roundabout. This has the effect of establishing a highly efficient signaling system through the most appropriate traffic.

Prior literature does not disclose a system that detects a pedestrian's walking on a crosswalk and turns on an LED indicator located within a preset distance from the crosswalk for a predetermined time. Accordingly, there is a need for research on a system that detects the pedestrian's walking on a crosswalk and turns on the LED indicator located within a preset distance from the crosswalk for a predetermined time.

Republic of Korea Patent Publication No. 10-2005-0111070 Republic of Korea Patent Publication No. 10-2019-0079004

The embodiments are intended to provide a crosswalk auxiliary signal system in which only LED indicators within a predetermined distance from the crosswalk are lit when an object is approached by a crosswalk.

Embodiments are intended to provide a method of detecting an object's approach to a crosswalk.

Embodiments are intended to provide a method of controlling lighting of an LED indicator in consideration of the speed of a vehicle.

Embodiments are intended to provide a method of checking whether a detection unit and an LED indicator are abnormal.

Embodiments are intended to provide a method of determining the number of LED indicator modules that are faulty and degraded.

A crosswalk assistance signal system according to an embodiment of the present invention is a detection signal when detecting an object passing through a crosswalk using an infrared band sensor-The detection signal is information on the location of the crosswalk and information on the time when the detection signal is formed. Includes-a sensing unit to form a; An LED (Light Emit Diode) lighting signal is formed based on the detection signal received from the detection unit, and preset from the crosswalk using the location information included in the detection signal and the location information of at least one LED indicator. A control unit for extracting a first LED indicator located within a distance and transmitting the LED lighting signal to the first LED indicator; And the at least one LED indicator that flashes for a preset time by receiving the LED lighting signal.

In one embodiment, the sensing unit is installed at a predetermined height in a first multipost positioned adjacent to a crosswalk to form an infrared band signal, and a transmitter configured to transmit the infrared band signal, and the first multipost from the first multipost A first detection unit comprising an infrared band photo sensor including a light receiver installed at a predetermined height on a second multipost positioned at a predetermined distance apart from the crosswalk in the width direction of the crosswalk to receive the infrared band signal transmitted from the transmitter; And a LiDAR (Light Detection And Ranging: Light Detection And Ranging) that forms and transmits a laser pulse signal, and can determine a distance to the object and a passing type of the object using a reflected signal received by reflecting the laser pulse signal from the object. ) Comprising a second sensing unit, wherein the first sensing unit forms a sensing region having a certain height and a width capable of covering the entrance of the crosswalk from a position spaced apart from the ground by a certain distance, and the sensing region When the object is located within, a first detection signal is formed, and when the second detection unit receives the first detection signal from the first detection unit, forms the laser pulse signal and transmits it toward the object, When the reception time interval of the reflection signal decreases using the reception time interval of the reflection signal received from the object, it is determined that the object approaches the crosswalk, and when the reception time interval of the reflection signal increases, the It is determined that the object is moving away from the crosswalk, and when the object approaches the crosswalk, a second detection signal is formed, and when the control unit receives the second detection signal, the LED lighting signal is formed. can do.

As an embodiment, when receiving the detection signal, the control unit determines whether a vehicle is located within a predetermined distance from the crosswalk using the location information, and when the vehicle is located within a predetermined distance from the crosswalk. Receives position information and speed information of the vehicle, calculates a moving range from the position indicated by the position information by multiplying the speed information by a preset time, extracting a first LED indicator located within the moving range, and the LED A lighting signal may be formed and transmitted to the first LED indicator.

As an embodiment, the control unit forms a check signal and transmits it to the detection unit and the at least one LED indicator, and based on the reflection signal received from the detection unit and the at least one LED indicator, the detection unit and It is possible to determine whether the at least one LED indicator is abnormal.

As an embodiment, the control unit classifies a first 　 LED indicator corresponding to a pre-set determination condition for deterioration status information, obtains a rated current of the first 　 LED indicator, and the first 　 LED indicator from the management information of the first 　 LED indicator. Acquire the current supplied to the first 　LED indicator, acquire the current consumption of one module included in the first 　LED indicator, and determine the difference between the rated current of the first 　LED indicator and the current supplied to the first 　LED indicator. The value divided by the current consumption of one module is determined by the number of modules that are faulty of the first LED indicator, obtains the number of a plurality of modules included in the first LED indicator, and the rated current of the first LED indicator And a value obtained by dividing the difference between the current supplied to the 1 　 LED indicator by the current consumption of one module is defined as the number of module failure candidates of the 1 　 LED indicator, and the ratio of the number of module failure candidates and the number of the modules As a basis, 　 calculates the expected noise of the current supplied to the first 　 LED indicator, and if the error between the measurement noise of the current supplied to the first 　 LED indicator and the expected noise is within a predefined error range, the failure candidate The number is determined by the number of modules that are faults of the 1 　 LED indicator, and if the error exceeds a predefined error range, the error is divided by a predefined unit error and is rounded to the number of failure candidates. The excluded value may be determined as a module that is a failure of the first 　 LED indicator, and twice as many as the integer may be determined as the number of modules that are deteriorated in performance of the first 　 LED indicator.

The apparatus according to an embodiment may be controlled by a computer program stored in a medium in order to execute the method of any one of the above-described methods in combination with hardware.

In the embodiments, when an object is approached by a crosswalk, only LED indicators within a predetermined distance from the crosswalk can be controlled to light up, and the LED indicator is controlled to light only when the object approaches the crosswalk by detecting the object's approach to the crosswalk. In consideration of the speed of the vehicle, only the LED indicators located within the range that the driver of the vehicle can recognize are turned on, periodically checks for abnormalities in the detection unit and LED indicators, and the number of LED indicator modules that are faulty and degraded. By discriminating, it is possible to efficiently and economically implement a crosswalk auxiliary signal system.

1 is an exemplary diagram showing the configuration of a crosswalk auxiliary signal system according to an embodiment.
2 is a diagram for explaining a crosswalk auxiliary signal system at an intersection according to an exemplary embodiment.
3 is a flowchart illustrating an operation of determining the number of module failures according to an embodiment.
4 is a flowchart illustrating an operation of determining the number of module failures and the number of degraded modules according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, since various changes may be made to the embodiments, the scope of the patent application is not limited or limited by these embodiments. It is to be understood that all changes, equivalents, or substitutes to the embodiments are included in the scope of the rights.

Specific structural or functional descriptions of the embodiments are disclosed for the purpose of illustration only, and may be changed and implemented in various forms. Accordingly, the embodiments are not limited to a specific disclosure form, and the scope of the present specification includes changes, equivalents, or substitutes included in the technical idea.

Although terms such as first or second may be used to describe various components, these terms should be interpreted only for the purpose of distinguishing one component from other components. For example, a first component may be referred to as a second component, and similarly, a second component may be referred to as a first component.

When a component is referred to as being "connected" to another component, it is to be understood that it may be directly connected or connected to the other component, but other components may exist in the middle.

The terms used in the examples are used for illustrative purposes only and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present specification, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof does not preclude in advance.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiment belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in the present application. Does not.

In addition, in the description with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of the reference numerals, and redundant descriptions thereof will be omitted. In describing the embodiments, when it is determined that a detailed description of related known technologies may unnecessarily obscure the subject matter of the embodiments, the detailed description thereof will be omitted.

The embodiments may be implemented in various types of products such as a personal computer, a laptop computer, a tablet computer, a smart phone, a television, a smart home appliance, an intelligent vehicle, a kiosk, and a wearable device.

1 is an exemplary view showing the configuration of a crosswalk auxiliary signal system according to an embodiment.

As shown in FIG. 1, the crosswalk auxiliary signal system 100 includes a detection unit 110, a light emitter 110-1, a light receiver 110-2, a second detection unit 120, and a control unit 120. ), and at least one LED indicator 130. According to an embodiment, the sensing unit 110, the emitter 110-1, the light receiving unit 110-2, the second sensing unit 120, the control unit 120, and at least one LED indicator 130 May be connected to communicate with each other through a network.

The detection unit 110 may generate a detection signal when detecting an object passing through the crosswalk using an infrared band sensor. According to an embodiment, the detection signal may include location information of a crosswalk and time information at which the detection signal is formed.

The detector 110 is installed at a predetermined height (for example, 1m, 1.5m, etc.) on a first multipost located adjacent to a crosswalk to form an infrared band signal and transmits an infrared band signal. -1), and a predetermined height (e.g., 1m, 1.5) on the second multipost, which is spaced apart from the first multipost by a predetermined distance (e.g., the same distance as the width of the pedestrian crossing) in the width direction of the crosswalk. m, etc.), and may include a first sensing unit including an infrared band photo sensor including a light receiver 110-2 for receiving an infrared band signal transmitted from the emitter 110-1.

The first sensing unit forms a sensing region having a certain height and a width capable of covering the entrance of the crosswalk from a position spaced apart from the ground by a certain distance, and forms a first sensing signal when an object is located within the sensing region. can do.

In addition, the detector 110 forms and transmits a laser pulse signal, and uses a reflected signal reflected by the laser pulse signal from the object to determine the distance to the object and the type of passage of the object. Light Detection And Ranging) may include a second detection unit (110-3).

When receiving the first detection signal from the first detection unit, the second detection unit 110-3 forms a laser pulse signal and transmits it toward the object, and reflects it using a reception time interval of the reflected signal received from the object. If the signal reception time interval decreases, it is determined that the object is approaching the crosswalk, and if the reflection signal reception time interval increases, it is determined that the object is moving away from the crosswalk, and the object approaches the crosswalk. A second detection signal may be formed.

The control unit 120 forms a light emission diode (LED) lighting signal based on a detection signal (a second detection signal) received from the detection unit 110, and includes location information and at least one LED indicator light included in the detection signal. The first LED indicator 130 located within a preset distance from the crosswalk may be extracted using the location information of, and an LED lighting signal may be transmitted to the extracted first LED indicator 130.

When receiving a detection signal from the detection unit 110, the control unit 120 determines whether the vehicle is located within a predetermined distance (eg, 100m, 200m, etc.) from the crosswalk using the location information included in the detection signal. If the vehicle is located within a predetermined distance from the crosswalk, position information and speed information of the vehicle may be received. In addition, the control unit 120 calculates a movement range from the position indicated by the position information by multiplying the received speed information by a preset time (eg, 30 seconds, 1 minute, etc.), and a first LED located within the movement range. The indicator light is extracted, and an LED lighting signal can be formed and transmitted to the first LED indicator. In this way, the control unit 120 can turn on the LED indicator 130 only when there is a vehicle approaching the crosswalk even if an object approaches the crosswalk, and the vehicle driver can recognize it in consideration of the approach speed of the vehicle. It is possible to efficiently and economically operate the crosswalk auxiliary signal system 100 by lighting only the LED indicator 130 that is present in the possible range.

The control unit 120 may periodically form a check signal and transmit it to the sensing unit 110 and at least one LED indicator 130. According to an embodiment, the check signal may include a test current for determining whether the detection unit 110 and at least one LED indicator 130 are operating normally. In addition, the control unit 120 determines whether the detection unit 110 and at least one LED indicator 130 are abnormal based on the reflected signal received from the detection unit 110 and at least one LED indicator 130 can do. According to an embodiment, when the inspection signal passes through the circuit of the detection unit 110 and at least one LED indicator 130 and a reflection signal is received, the control unit 120 When it is determined that the indicator 130 is operating normally, and a reflection signal is not received because the inspection signal does not pass through the circuit of the detection unit 110 and at least one LED indicator 130, the detection unit 110 And although it may be determined that the at least one LED indicator 130 is operating abnormally, a method of determining whether the detection unit 110 and the at least one LED indicator 130 is abnormal is not limited thereto.

The controller 120 may analyze whether an abnormality occurs and deterioration state information of each LED indicator 130 based on operation state information of each of the LED indicators 130 based on a predefined analysis method. Whether an abnormality occurs in each LED indicator 130 may include whether the power of each LED indicator 130 is turned off and whether there is a short circuit. The deterioration state information of each LED indicator 130 may include the number of modules in a faulty state and the number of modules in performance degradation among a plurality of modules included in each LED indicator 130.

The predefined analysis method may include a method of analyzing deterioration state information of the LED indicator 130. More specifically, the operation of the control unit 120 to analyze the deterioration state information may include the following. First, the controller 120 may analyze a change trend of current according to the power supplied to the module of the LED indicator 130. Subsequently, the controller 120 may derive the deterioration state of the LED indicator 130 by applying the analyzed change trend to a predefined determination condition. The predetermined determination condition is that the change of current according to the power supplied to the module of the LED indicator 130 when the LED indicator 130 is driven is any of a number of modules included in the LED indicator 130 in the past. When one or more of the current change trends according to the power supplied to the modules in which a failure or performance degradation actually occurs are similar within a predefined error range, it may be a condition for determining that there is an abnormality due to a deterioration state. Thereafter, the control unit 120 may determine whether any one or more of the plurality of modules included in the LED indicator 130 has a failure or deterioration in performance according to the deterioration state of the LED indicator 130.

The controller 120 may include whether an abnormality occurs in each of the LED indicators 130, information on a deterioration state of each of the LED indicators 130, and location information of each of the LED indicators 130 in the visual output. Further, the control unit 120 may evaluate the function of each LED indicator 130 based on each deterioration state information, and may include the evaluation result in the visual output. The controller 120 may provide a visual output to a web page to which a responsive web is applied.

The controller 120 may receive CCTV (Closed Circuit Television) information installed at an intersection where the crosswalk auxiliary signal system 100 is located and transmit it to a remote central control center.

The network is a wireless or wireless network between the sensing unit 110, the emitter 110-1, the light receiving unit 110-2, the second sensing unit 120, the control unit 120, at least one LED indicator 130, etc. Wired communication can be performed. For example, networks include long-term evolution (LTE), LTE Advanced (LTE-A), code division multiple access (CDMA), wideband CDMA (WCDMA), wireless broadband (WiBro), wireless fidelity (WiFi), and Bluetooth ( Bluetooth), near field communication (NFC), a global positioning system (GPS), or a global navigation satellite system (GNSS) may be used to perform wireless communication. For example, the network may perform wired communication according to a method such as universal serial bus (USB), high definition multimedia interface (HDMI), recommended standard 232 (RS-232), or plain old telephone service (POTS). .

In the present invention, artificial intelligence (AI) refers to a technology that imitates human learning ability, reasoning ability, perception ability, etc., and implements it with a computer, and concepts such as machine learning and symbolic logic. It may include. Machine Learning (ML) is an algorithm technology that classifies or learns features of input data by itself. Artificial intelligence technology is a machine learning algorithm that can analyze input data, learn the results of the analysis, and make judgments or predictions based on the results of the learning. In addition, technologies that simulate functions such as cognition and judgment of the human brain using machine learning algorithms can also be understood as a category of artificial intelligence. For example, technical fields such as linguistic understanding, visual understanding, reasoning/prediction, knowledge expression, and motion control may be included.

Machine learning can refer to the process of training a neural network model using experience of processing data. Through machine learning, computer software can mean improving its own data processing capabilities. The neural network model is constructed by modeling a correlation between data, and the correlation can be expressed by a plurality of parameters. The neural network model extracts and analyzes features from the given data to derive correlations between the data, and it can be said that machine learning is the process of optimizing the parameters of the neural network model by repeating this process. For example, the neural network model can learn a mapping (correlation relationship) between inputs and outputs for data given as input/output pairs. Alternatively, the neural network model may learn the relationship by deriving regularity between the given data even when only input data is given.

The artificial intelligence learning model or neural network model may be designed to implement a human brain structure on a computer, and may include a plurality of network nodes that simulate neurons of the human neural network and have weights. A plurality of network nodes may have a connection relationship between each other by simulating the synaptic activity of neurons through which neurons exchange signals through synapses. In the artificial intelligence learning model, a plurality of network nodes can exchange data according to a convolutional connection relationship while being located in layers of different depths. The artificial intelligence learning model may be, for example, an artificial neural network model, a convolution neural network model (CNN), or the like. As an embodiment, the artificial intelligence learning model may be machine learned according to a method such as supervised learning, unsupervised learning, and reinforcement learning. Machine learning algorithms for performing machine learning include Decision Tree, Bayesian Network, Support Vector Machine, Artificial Neural Network, and Ada-boost. , Perceptron, Genetic Programming, Clustering, etc. may be used.

Of these, CNN is a type of multilayer perceptrons designed to use minimal preprocessing. CNN consists of one or several convolutional layers and general artificial neural network layers on top of them, and additionally utilizes weights and pooling layers. Thanks to this structure, the CNN can fully utilize the input data of the two-dimensional structure. Compared to other deep learning structures, CNN shows good performance in both video and audio fields. CNNs can also be trained through standard reverse forwarding. CNN is more easily trained than other feed-forward artificial neural networks and has the advantage of using fewer parameters.

Convolutional networks are neural networks that contain sets of nodes with bound parameters. The increased size of available training data and the availability of computational power, combined with advances in algorithms such as segmented linear units and dropout training, have greatly improved many computer vision tasks. Outfitting is not important for large data sets, such as data sets available for many tasks today, and increasing the size of the network improves test accuracy. Optimal use of computing resources becomes a limiting factor. To this end, a distributed, scalable implementation of deep neural networks can be used.

2 is a diagram for explaining a crosswalk auxiliary signal system at an intersection according to an exemplary embodiment.

As shown in FIG. 2, the crosswalk auxiliary signal system 100 at an intersection includes a sensing unit 110, a light emitter 110-1, a light receiver 110-2, a cable 115, and a control unit 120. ), at least one LED indicator 130, and may include a central control server 150. According to an embodiment, the sensing unit 110, the emitter 110-1, the light receiver 110-2, the cable 115, the control unit 120, at least one LED indicator 130, and the central control The servers 150 may be connected to enable communication with each other through a network.

The sensing unit 110, the emitter 110-1, the light receiving unit 110-2, the control unit 120, and the at least one LED indicator 130 perform the same function as in FIG. 1, so a detailed description thereof will be omitted. .

The cable 115 may transmit a detection signal formed by the detection unit 110 to the control unit 120 and transmit an LED lighting signal formed by the control unit 120 to the LED indicator 130. According to an embodiment, the cable 115 may be installed by being buried in the ground.

The central control server 150 may operate to receive a detection signal and an LED lighting signal from the control unit 120 and remotely control the crosswalk auxiliary signal system 100.

3 is a flowchart illustrating an operation of determining the number of module failures according to an embodiment.

4 is a flowchart illustrating an operation of determining the number of module failures and the number of degraded modules according to an embodiment.

Although process steps, method steps, algorithms, and the like have been described in sequential order in the flow charts of FIGS. 3 and 4, such processes, methods, and algorithms may be configured to operate in any suitable order. In other words, the steps of the processes, methods and algorithms described in the various embodiments of the present invention need not be performed in the order described in the present invention. Further, although some steps are described as being performed asynchronously, in other embodiments, some of these steps may be performed simultaneously. Further, the illustration of the process by depiction in the drawings does not imply that the illustrated process excludes other changes and modifications thereto, and the illustrated process or any of its steps are among the various embodiments of the present invention. It does not imply that it is essential to one or more, and does not imply that the illustrated process is desirable.

As shown in FIG. 3, in step S310, the first LED indicator corresponding to the determination condition in which the deterioration state information is predefined is classified. For example, referring to FIGS. 1 to 2, the control unit 120 of the crosswalk auxiliary signal system 100 may analyze a change in current according to the power supplied to the at least one LED indicator 130. have. Subsequently, the controller 120 may derive a deterioration state of the LED indicator by applying the analyzed change trend to a predefined determination condition. The predefined determination condition is that the change of current according to the power supplied to the LED indicator 130, in the past, a failure or performance degradation actually occurred in any one or more of the plurality of modules included in the LED indicator 130. If it is similar to one of the current change trends according to the power supplied to the modules within a predefined error range, it may be a condition for determining that there is an abnormality according to the deterioration state. The controller 120 may define the LED indicators 130 corresponding to the predefined determination conditions as first LED indicators.

In step S320, the rated current of the first LED indicator is obtained. For example, referring to FIGS. 1 to 2, the rated current may mean the current consumed by the first LED indicator 130 during normal operation. The control unit 120 of the crosswalk auxiliary signal system 100 may have a database of standard information of the LED indicators 130 in advance. The controller 120 may obtain the rated current of the first LED indicator from the database.

In step S330, a current supplied to the first LED indicator is obtained from management information of the first LED indicator. For example, referring to FIGS. 1 to 2, the management information of the first LED indicator may include operation state information and location information of the first LED indicator. The operating state information may include a voltage and current according to power supplied to the first LED indicator and a voltage and current according to power supplied to each of the plurality of modules of the first LED indicator. The control unit 120 may refer to the operation state information in the management information of the first LED indicator, and refer to the current supplied to the first LED indicator in the operation state information.

In step S340, current consumption of one module included in the first LED indicator is obtained. For example, referring to FIGS. 1 to 2, the current consumption may mean a current consumed by one module included in the first LED indicator 130 during normal operation. The control unit 120 may have a database of standard information of the LED indicator 130 in advance. The controller 120 may obtain current consumption of one module included in the first LED indicator 130 from the database.

In step S350, a value obtained by dividing the difference between the rated current of the first LED indicator and the current supplied to the first LED indicator by the current consumption of one module is determined as the number of modules that are faulty of the first LED indicator. For example, referring to FIGS. 1 to 2, an LED indicator 130 of “100W, 4 modules” may be assumed. The rated current of the LED indicator 130 may be 50mA. The current consumption of the LED indicator 130 may be 12.5mA.

If the current supplied to the first LED indicator 130 is 50mA, the controller 120 may determine that the entire module is in normal operation. If the current supplied to the first LED indicator is 37.5mA, the controller 120 may determine that one module has failed. If the current supplied to the first LED indicator 130 is 25mA, the control unit 120 may determine that two modules have failed. If the current supplied to the first LED indicator 130 is 12.5mA, the control unit 120 may determine that three modules have failed. If the current supplied to the first LED indicator is 0A, the control unit 120 may determine that four modules are faulty.

The controller 120 may include the monitoring result in real time in the visual output. The controller 120 may provide a visual output to a web page to which a responsive web is applied. Users can access the web page to which the responsive web is applied and check the monitoring result of the status of each LED indicator 130. Specifically, users can check the number of modules in a fault state of each LED indicator 130. In addition, the controller 120 may perform notification through a web page to which a responsive web is applied when a failure situation occurs.

Through the above, the controller 120 analyzes the current measured by each LED indicator 130 and provides a visual output, thereby visually diagnosing the presence or absence of an abnormality in the modules constituting each LED indicator 130. I can. Users may monitor each LED indicator 130 based on the visual output and utilize it for maintenance, or control the LED indicator 130 determined to have a failure.

As shown in FIG. 4, in step S410, the controller 120 may acquire the number of a plurality of modules included in the first LED indicator 130. The control unit 120 may have a database of standard information of the LED indicators 130 in advance. The controller 120 may obtain the number of modules included in the first LED indicator 130 from the database.

In step S420, the control unit 120 divides the difference between the rated current of the first LED indicator 130 and the current supplied to the first LED indicator 130 by the current consumption of one module to the first LED It can be defined as the number of candidate module failures of the indicator 130. The control unit 120 divides the difference between the rated current of the first LED indicator 130 and the current supplied to the first LED indicator 130 by the current consumption of one module. It can be the same. The control unit 120 does not determine the value obtained through the above operation as the number of modules that are the failure of the first LED indicator 130 in order to distinguish between a faulty module and a module that is not faulty but causes performance degradation, but the first LED It can be defined as the number of candidate module failures of the indicator 130. Based on the number of module failure candidates of the first LED indicator 130, the control unit 120 performs the following detailed operations to determine the number of modules that are the failure of the first LED indicator 130 and the first LED indicator 130 It is possible to determine the number of modules that are degraded in performance.

In step S430, the control unit 120 calculates the predicted noise of the current supplied to the first LED indicator 130 based on the ratio of the number of module failure candidates of the first LED indicator 130 and the number of modules. Can be calculated. When a part of the module of the first LED indicator 130 fails, a disconnection or a high resistance region outside the circuit design of the original LED indicator 130 occurs. Such disconnection or high resistance causes impedance disturbance of the detailed area of the original LED indicator 130, and accordingly, noise of the current supplied to the first LED indicator 130 is generated. The larger the number of modules in which a fault has occurred in the LED indicator 130, the more impedance disturbance regions that generate current noise. In short, as the number of module failure candidates of the first LED indicator 130 increases from the number of modules of the first LED indicator 130, not only the magnitude of the current supplied to the LED indicator 130 decreases, The noise of the current supplied to the LED indicator 130 increases.

The controller 120 may determine what percentage of the number of module failure candidates occupies the number of modules of the first LED indicator 130. Based on this ratio, the controller 120 may calculate an expected noise of the current supplied to the first LED indicator 130. The predicted noise may be calculated by referring to the current noise data according to the number of faulty modules compared to the number of modules for each LED indicator 130 that has been previously databased.

In step S440, when the error between the measured noise and the predicted noise of the current supplied to the first LED indicator 130 is within a predefined error range, the controller 120 determines the number of failure candidates as the first LED indicator. It can be determined by the number of modules that are the failure of (130).

Specifically, the controller 120 may obtain measurement noise of the current supplied to the first LED indicator 130 through management information of the first LED indicator 130. The controller 120 may calculate whether the measurement noise is within a predefined error range. The predefined error range may be differently employed according to embodiments. When the error between the measurement noise and the predicted noise is within a predefined error range, the control unit 120 is similar to the current noise according to the number of faulty modules compared to the number of modules for each LED indicator 130 that has been previously databased, The number of modules that are faulty of the first LED indicator 130 may be determined as the number of possible module failure candidates of the first LED indicator 130 as it is.

In step (S450), when the error between the measured noise and the predicted noise of the current supplied to the first LED indicator 130 exceeds a predefined error range, the error is a predefined unit error. A value obtained by subtracting an integer rounded off from the number of failure candidates may be determined as the number of modules that are the failure of the first LED indicator 130.

If the LED indicator 130 has not yet failed, but a module showing deterioration of performance is included, the module shows a malfunction, not non-operation, and consumes current and voltage irregularly or differently from the design of the original LED indicator 130 It is done. Accordingly, when the LED indicator 130 includes a module showing a deterioration in performance, impedance disturbance occurs more severely than when the LED indicator 130 includes a faulty module. Therefore, if the measurement noise of the current supplied to the first LED indicator 130 exceeds a predefined error range than the expected noise, it is reasonable to estimate the module performance degradation rather than the module failure.

On the other hand, when the module causes performance degradation, unlike the case of a failure, the module does not correspond to a case of disconnection, and thus a predetermined current flows through the module. Therefore, if the current supplied to the first LED indicator 130 when n modules fail and the current supplied to the first LED indicator 130 when the module shows m performance degradation are the same, at least m> The relationship of n is established.

When the error between the measured noise and the predicted noise of the current supplied to the first LED indicator 130 is out of a predefined error range, the control unit 120 is an integer obtained by rounding the value obtained by dividing the error by a predefined unit error. Can be obtained. The predefined unit error may be noise of the current supplied to the LED indicator 130 when one module fails compared to the total number of modules. The control unit 120 may determine a value obtained by subtracting the integer number from the number of failure candidates as the number of modules that are the failure of the first LED indicator 130.

In step S460, the control unit 120 may determine twice as much as the number of modules that are the deterioration in performance of the first LED indicator 130 as the number of modules obtained above.

For example, an LED indicator 130 of "100W, 4 modules" may be assumed. The rated current of the LED indicator 130 may be 50mA. The current consumption of the module may be 12.5mA. If the current supplied to the first LED indicator 130 is 50mA, the controller 120 may determine that the entire module is in normal operation. If the current supplied to the first LED indicator 130 is 37.5mA, the controller 120 may define one fault candidate module as one. The controller 120 may calculate an expected noise of the current supplied to the first LED indicator 130 based on a ratio of the number of possible module failures (1 piece) and the number of modules (4 pieces).

The controller 120 may calculate whether an error between the measured noise and the expected noise exceeds a predefined error range. When the error between the measured noise and the expected noise is out of a predefined error range, the controller 120 may obtain an integer obtained by rounding a value obtained by dividing the error by a predefined unit error. The integer value may be 1, for example. The predefined unit error may be noise of the current supplied to the LED indicator 130 when one module fails in the LED indicator 130 composed of a total of 4 modules.

When the error between the measured noise and the predicted noise is within a predefined error range, the controller 120 may determine the number of modules that are the failure of the first LED indicator 130 as one. When the error between the measurement noise and the predicted noise is out of a predefined error range, the control unit 120 sets “0”, which is a value excluding the number of failure candidates, by subtracting the integer number from the number of failure candidates, if the integer obtained above is 1 130) can be determined by the number of modules. In addition, the control unit 120 may determine "2", which is twice the integer obtained above, as the number of modules, which is the deterioration of the performance of the first LED indicator 130.

Through the above, the control unit 120 can discriminate and determine whether a module failure or performance degradation of the LED indicator 130 is supplied with a current less than the rated current. Through this, the control unit 120 may provide different visual outputs for a case in which the modules of each of the LED indicators 130 are malfunctioning and a case in which performance is degraded. Through this, users who are provided with a smart control screen through a web page to which a responsive web is applied can receive more accurate monitoring of each LED indicator 130. Through this, a more suitable control command or management performance for each LED indicator 130 may be made.

The embodiments described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices, methods, and components described in the embodiments are, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA). array), programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. Further, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to behave as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or, to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

As described above, although the embodiments have been described by the limited drawings, a person of ordinary skill in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order from the described method, and/or components such as systems, structures, devices, circuits, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the following claims.

Claims (3)

As a pedestrian crossing auxiliary signal system,
A detection unit for forming a detection signal when detecting an object passing through a crosswalk using an infrared band sensor, the detection signal including location information of the crosswalk and time information at which the detection signal is formed;
An LED (Light Emit Diode) lighting signal is formed based on the detection signal received from the detection unit, and preset from the crosswalk using the location information included in the detection signal and location information of at least one LED indicator. A control unit for extracting a first LED indicator located within a distance and transmitting the LED lighting signal to the first LED indicator; And
And the at least one LED indicator flashing for a preset time by receiving the LED lighting signal,
The sensing unit,
A transmitter installed at a predetermined height in a first multipost located adjacent to a crosswalk to form an infrared band signal and transmit the infrared band signal, and a predetermined distance apart from the first multipost in the width direction of the crosswalk A first detection unit configured with an infrared band photo sensor including a light receiver installed at a predetermined height on the second multi-post positioned at a predetermined height to receive the infrared band signal transmitted from the emitter; And
LiDAR: Light Detection And Ranging (LiDAR) capable of determining the distance to the object and the type of passage of the object by forming and transmitting a laser pulse signal, and using the reflected signal received by reflecting the laser pulse signal from the object. Including a second detection unit consisting of,
The first detection unit,
From a location spaced a certain distance from the ground, a sensing area of a certain height and width that can cover the entrance of a crosswalk is formed
When the object is positioned within the sensing area, a first sensing signal is formed,
The second detection unit,
When receiving the first detection signal from the first detection unit, the laser pulse signal is formed and transmitted toward the object,
When the reception time interval of the reflection signal decreases using the reception time interval of the reflection signal received from the object, it is determined that the object approaches the crosswalk, and when the reception time interval of the reflection signal increases, the It is determined that the object is moving away from the crosswalk,
When the object approaches the crosswalk, forms a second detection signal,
The control unit,
Forming the LED lighting signal when receiving the second detection signal,
Pedestrian crossing auxiliary signal system. delete The method of claim 1,
The control unit,
When receiving the detection signal, using the location information to determine whether a vehicle is located within a predetermined distance from the crosswalk,
When a vehicle is located within a predetermined distance from the pedestrian crossing, the location information and speed information of the vehicle are received,
The speed information is multiplied by a preset time to calculate a moving range from the position indicated by the position information,
Extracting the first LED indicator located within the moving range,
Forming the LED lighting signal and transmitting it to the first LED indicator light,
Pedestrian crossing auxiliary signal system.

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