KR102671451B1 - DC motor monitoring system and method of doors for railway vehicles - Google Patents

Abstract

The present invention relates to a system and method for monitoring a direct current motor of a door for an electric vehicle, and more specifically, to monitor the load status of a direct current motor used for opening and closing a door using the door system of an existing electric vehicle without installing additional equipment. It relates to a direct current motor monitoring system and method for doors for electric vehicles that enables preemptive maintenance of doors by enabling real-time monitoring, and thereby prevents door failures.

Description

DC motor monitoring system and method of doors for railway vehicles}

The present invention relates to a system and method for monitoring a direct current motor of a door for an electric vehicle, and more specifically, to monitor the load status of a direct current motor used for opening and closing a door using the door system of an existing electric vehicle without installing additional equipment. It relates to a direct current motor monitoring system and method for doors for electric vehicles that enables preemptive maintenance of doors by enabling real-time monitoring, and thereby prevents door failures.

In general, each vehicle that constitutes an electric train is equipped with an entrance for passengers to enter and exit, and an electrically operated door is installed to slide to open and close the entrance.

Each vehicle of this electric train includes systems for controlling the opening and closing of a plurality of doors, and each door system includes a pair of door panels 10, a direct current motor 30, and a drive, as shown in FIG. 1. A driving device that is connected to the door panel 10 by a door hanger 20, including a screw 40 and a driving nut 50, and slides the door panel 10, and detects the operating state of the door. A door locking detection limit switch (DLS) 60 and a door closing detection limit switch (DCS) 70 may be included.

In addition, the door system includes a system that diagnoses the status of the above components, transmits the information to the driver through the vehicle control management system (TCMS), and controls and operates the components by receiving command signals from the driver. It includes a door control unit (DCU) with a microprocessor.

Among these, the driving force of the door is provided by a direct current motor (30) capable of driving forward and backward. Since these doors for electric vehicles are directly related to the safety of passengers, defects in the direct current motor (30) that drives the door must be checked in advance. Maintenance is very important.

In relation to this, Republic of Korea Registered Utility Model Publication No. 20-0491574 discloses a defect diagnosis device for a direct current motor of an entrance door for a railway vehicle, the main technical component of which is the defect diagnosis device that occurs when the direct current motor rotates by manual operation without supplying power. It is designed to determine whether a DC motor is defective by measuring voltage and current signals, converting them to frequency, and checking for the presence of abnormal frequencies.

The above prior art is characterized by allowing fault diagnosis to be performed while the DC motor is mounted without being separated from the railway vehicle. However, the presence or absence of a defect in the DC motor can only be determined when the train is stopped or in a suspended state. There is a downside to being judgmental.

In other words, conventional DC motor monitoring systems or load status monitoring systems for electric vehicle entrance doors, including the above-described prior art, can detect the presence or absence of defects only when the electric car is stopped, so it is possible for abnormalities or defects to occur in the DC motor while the electric car is running. In this case, not only is it difficult to detect this, but there is a problem that it is difficult to efficiently apply it to the existing door system because additional equipment or systems must be installed to monitor the load status of the DC motor in real time while driving.

1. Republic of Korea Registered Utility Model Publication No. 20-0491574 (registered on April 22, 2020) 2. Republic of Korea Patent Publication No. 10-2016-0008513 (published on January 22, 2016) 3. Republic of Korea Patent Publication No. 10-2019-0052453 (published May 16, 2019) 4. Japanese Patent Publication No. 2005-214727 (published on August 11, 2005)

1. Energy Engineering Volume 24, No. 1, pp. 17~23 (2015) Measures to improve the reliability of electric door systems in railway vehicles

The present invention was created to solve the problems of the prior art as described above. The purpose of the present invention is to provide a DC motor used for opening and closing doors using the door system of an existing electric train without installing additional equipment. We provide a DC motor monitoring system and method for doors for electric vehicles that enables preemptive maintenance of doors by monitoring the load status in real time and thus prevents door failures in advance.

In addition, the present invention measures the status of the DC motor in real time through a plurality of sensors, and monitors the measurement result and the result of determining whether an abnormality or failure of the DC motor occurs simultaneously through a plurality of devices, thereby monitoring the DC motor. Another purpose is to provide a system and method for monitoring the direct current motor of the entrance door for electric vehicles, which can improve the reliability of electric vehicles and at the same time enable smoother and safer operation of electric vehicles.

The present invention to achieve the above objectives,

In a door system for an electric vehicle including a DC motor driver, a DC motor, and a door control device, a current sensor for measuring the load of the DC motor is provided in a detachable form between the DC motor driver and the DC motor. do.

At this time, the load of the DC motor measured by the current sensor is transmitted simultaneously to the door control device and one or more of the TCMS or CBM module.

Meanwhile, the present invention relates to a door system for an electric vehicle including a DC motor driver, a DC motor, and a door control device, including a sensor unit provided between the DC motor driver and the DC motor to measure the status of the DC motor in real time; , It may include a CBM module that determines whether an abnormality has occurred in the DC motor using the measurements measured by the sensor unit.

At this time, the sensor unit may include a current sensor for measuring the load of the DC motor, a voltage sensor for measuring the voltage supplied from the DC motor driver to the DC motor, and a temperature sensor for measuring the temperature of the DC motor.

In addition, the sensor unit may further include a vibration sensor for measuring vibration or shaking that occurs while driving the DC motor, and a humidity sensor for measuring humidity of the DC motor.

In addition, the load applied to the DC motor can be simultaneously detected by measuring the load on the DC motor using the measurement value of the current sensor and measuring the amount of change in voltage and current with respect to the power input from the DC motor driver.

In addition, the CBM module includes a power supply unit that supplies power to enable the CBM module to operate using the power supplied from the DC motor driver, and a sensor input unit where the measurement values of the DC motor measured by the sensor unit are input. It may include a CPU that determines whether an abnormality has occurred in the DC motor using the measured values of the sensor unit input through the sensor input unit.

On the other hand, the method for monitoring the direct current motor of the entrance door for electric vehicles according to the present invention is,

In the method of monitoring a DC motor for an electric vehicle door, a reference value input step of storing the standard value or standard range of current, voltage, temperature, vibration and humidity in a normal driving state of the DC motor in a database, the DC motor driver of the electric car and the DC motor A measurement and transmission step that measures the current, voltage, temperature, vibration, and humidity of the DC motor or its surroundings using the sensor unit provided between the motors and transmits it to the CBM module and the door control device by the sensor unit through the CBM module. It may include an abnormality determination step of comparing the measured values with the reference value or reference range stored in the reference value input step to determine whether an abnormality has occurred in the DC motor.

At this time, the abnormality determination step includes a data storage step of storing the measurement values transmitted in real time from the sensor unit in a database, and a comparison step of comparing the measurement values transmitted in real time from the sensor unit with a reference value or reference range previously stored in the database. And, as a result of the comparison in the comparison step, if an abnormal signal is detected that is not within the standard value or standard range among the measured values, it may include an alarm generation step of generating an alarm signal or notifying the TCMS or control center.

And, it further includes a learning step of performing machine learning using the measured values of the sensors accumulated in the database as input values and the state of the DC motor for the input values as an output value. In the abnormality determination step, the learning step Using the learning results, it is possible to determine whether an abnormality has occurred in the DC motor.

In addition, an updating step of updating the reference value or reference range stored in the reference value input step using the learning result in the learning step may be further included.

According to the present invention, the door system used in existing electric vehicles can be utilized as is, and the load applied to the DC motor that drives the door can be monitored in real time using a detachable current sensor for installation and operation. It has the outstanding effect of enabling preemptive maintenance of doors while minimizing costs, thereby preventing door malfunctions in advance.

In addition, according to the present invention, the status of the DC motor is measured in real time through a plurality of sensors, and the measurement result and the result of determining whether an abnormality or failure of the DC motor occurs can be simultaneously monitored through a plurality of devices. It can improve the reliability of monitoring, reduce the time and cost required for overall maintenance of the train, and has the additional effect of enabling smoother and safer operation of the train.

Figure 1 is a diagram schematically showing the main configuration of a conventional electric vehicle door system.
Figure 2 is a diagram schematically showing a direct current motor of an electric vehicle door to which the present invention is applied.
Figure 3 is a diagram conceptually showing the combination of the direct current motor and sensor shown in Figure 2.
Figure 4 is a diagram showing a direct current motor monitoring system for an electric vehicle entrance door according to the present invention.
Figure 5 is a diagram conceptually showing another embodiment of a direct current motor monitoring system for an electric vehicle door according to the present invention.
Figure 6 is a diagram specifically showing the configuration of the CBM module of the present invention shown in Figure 5.
Figure 7 is a diagram schematically showing the present invention shown in Figure 5.

Hereinafter, preferred embodiments of the direct current motor monitoring system for the entrance door for electric vehicles according to the present invention will be described in detail with reference to the attached drawings.

Figure 2 is a diagram schematically showing the direct current motor of the door of an electric vehicle to which the present invention is applied, Figure 3 is a diagram conceptually showing the combination of the direct current motor and sensor shown in Figure 2, and Figure 4 is a diagram schematically showing the combination of the direct current motor and sensor shown in Figure 2, and Figure 4 is a diagram schematically showing the DC motor for the electric vehicle door according to the present invention. It is a diagram showing a direct current motor monitoring system for an entrance door, and Figure 5 is a diagram conceptually showing another embodiment of a direct current motor monitoring system for an electric vehicle door according to the present invention, and Figure 6 is a diagram showing the CBM module of the present invention shown in Figure 5. This is a drawing showing the configuration in detail, and FIG. 7 is a drawing schematically showing the present invention shown in FIG. 5.

The present invention enables preemptive maintenance of doors by monitoring the load status of the DC motor used for opening and closing doors in real time using the door system of existing electric vehicles without installing additional equipment. , It relates to a DC motor monitoring system 100 (hereinafter referred to as 'DC motor monitoring system 100') and method for doors for electric vehicles, which prevents door failure accordingly. First, it relates to a DC motor monitoring system 100 to which the present invention is applied. The motor 30 is configured as shown in FIG. 2.

That is, the direct current motor 30 is formed with an armature in which current flows through the stator magnet 31 and the armature coil 32 to form a magnetic field, and the magnetic flux of the stator magnet 31 and the armature flux are always maintained at 90 degrees. It may be configured to include a commutator 33 and a brush 34 for supplying electricity to the commutator 33.

When voltage is applied to the brush 34, current flows to the armature coil 32 through the commutator 33, and the DC motor 30 starts rotating according to the direction of the applied voltage, and a current according to the voltage flows. .

At this time, the rotation direction of the DC motor 30 can be divided into forward and reverse directions depending on the direction in which the current flows.

Figure 3 conceptually shows a sensor connected and installed to detect the load of the DC motor 30. The present invention includes a current sensor 121 on the armature coil 32 to which power is applied to the DC motor 30. By connecting and installing to detect the current flowing in the armature coil 32, the load level of the DC motor 30 can be measured.

The load of the DC motor 30 measured by the current sensor 121 is the door control unit (DCU) 140 and the condition based maintenance (CBM; Condition Based Maintenance) module 130 provided in the train. ) (hereinafter referred to as the 'CBM module' 130) can be confirmed in real time, and service or maintenance is possible without separate maintenance cycle depending on the confirmed load of the DC motor 30.

In addition, an encoder 35 may be connected to the DC motor 30 to detect and measure the position, speed, and direction of rotational movement, and the encoder 35 may be an encoder using an optical sensor or magnetic sensor. (35) can be used.

The rotational movement of the DC motor 30 measured by the encoder 35 can be converted into a digital signal and transmitted to the door control device 140, etc., and used for driving control of the DC motor 30.

Meanwhile, according to a more specific embodiment of the DC motor monitoring system 100 according to the present invention, the current sensor 121 for measuring the load of the DC motor 30 is removable from the existing electric vehicle door system as needed. As a result, the load status of the DC motor 30 used to open and close the door can be monitored in real time using the door system of an existing electric train without installing additional equipment, as well as the DC motor. Installation and maintenance costs of the surveillance system 100 can be minimized.

In more detail, the current sensor 121 is an active sensor that operates through DC power input from the DC motor driver 110 of the electric vehicle, and is connected and installed between the DC motor driver 110 and the DC motor 30. It can be, and the voltage required for current detection in the current sensor 121 can be generated by itself using the DC power supply.

In addition, in the case of the DC motor 30, there are two power lines depending on the rotation direction, so it is possible to select one direction and observe the load of the DC motor 30 for the rotation direction required by the user.

In addition, in the case of the current sensor 121, as shown in FIG. 4, it can be installed in a structure that is additionally coupled to the DC motor 30, so it can be configured to be detachable as needed.

In addition, the current sensor 121 can measure the load of the DC motor 30 by converting the internally flowing current into voltage. The conversion ratio of current and voltage used to measure the load can be changed depending on the usage environment. .

At this time, the current sensor 121 can detect up to 50A, and can be manufactured by separately setting electrical characteristics such as withstand voltage, insulation resistance, and temperature specification items to suit the environment used in the electric vehicle. An example of this is As shown in (Table 1) below.

That is, if the current measured by the current sensor 121 is outside the preset normal current range of the DC motor 30, it can be determined that there is a problem with the DC motor 30.

In more detail, an excessive current compared to the normal operating state of the DC motor 30 may indicate a load or overheating inside the DC motor 30, and conversely, a low current compared to the normal operating state may indicate that the motor does not receive sufficient power. Alternatively, it may be determined that there is a problem with the power supply circuit.

In addition, if the load of the DC motor 30 measured by converting the current internally flowing in the current sensor 121 into voltage is outside the preset range, or if the change pattern of the load is the DC motor 30 Even if the load amount change pattern is different from that of normal operation or if the current value suddenly increases or decreases during operation of the DC motor 30, it can be determined that there is something wrong with the DC motor 30.

As described above, the load of the DC motor 30 measured by the current sensor 121 can be transmitted to a plurality of devices, which allows the status of the DC motor 30 to be monitored through multiple methods. Even if a problem occurs in the above device, it is possible to check whether the door or the DC motor 30 has a problem, thereby preventing the occurrence of a malfunction in advance through preemptive response.

As an example, the load of the DC motor 30 measured by the current sensor 121 is measured by the door control unit (DCU) 140 and the vehicle control management system (TCMS) 150 (hereinafter referred to as 'TCMS' (150). ) or the CBM module 130 at the same time, even if a problem occurs in the door control device 140, the door or DC motor 30 is transmitted through the TCMS 150 or the CBM module 130. You can check for abnormalities in real time.

Meanwhile, as a means of measuring the load of the DC motor 30 as described above, other sensors in addition to the current sensor 121 may be used, which can improve the accuracy of abnormality detection of the DC motor 30. Of course, even if an abnormality or failure occurs in the current sensor 121, the direct current motor 30 can be monitored in real time.

In more detail, a sensor unit 120 including a current sensor 121 may be provided between the DC motor driver 110 and the DC motor 30 provided in the electric train. In addition to the current sensor 121 described above, a voltage sensor 122, a temperature sensor 123, etc. may be included.

The voltage sensor 122 serves to measure the voltage supplied to the DC motor 30 from the DC motor driver 110 provided in the electric vehicle. A voltage lower than the normal operating state of the DC motor 30 is a DC motor. This may indicate that the motor 30 is not receiving sufficient power and is unable to operate normally. Conversely, a voltage higher than the normal operating state, that is, overvoltage, may overload the DC motor 30 and cause damage to the DC motor 30. It can result.

At this time, by measuring the load of the DC motor 30 using the measurement value of the current sensor 121 and simultaneously measuring the amount of change in voltage and current with respect to the power input from the DC motor driver 110 of the electric vehicle, the DC motor 30 A method of simultaneously detecting the applied load can also be used.

Next, the temperature sensor 123 is configured to measure the temperature of the DC motor 30. A temperature higher than the preset normal range may indicate overheating of the DC motor 30 or an internal circuit problem, If the DC motor 30 overheats, it may cause electric shock or damage to motor parts.

Conversely, if the temperature measured by the temperature sensor 123 is lower than the preset normal range, it may be determined that the DC motor 30 is not operating properly or is not performing normally.

Meanwhile, as shown in FIG. 5, the sensor unit 120 may further include a vibration sensor 124 and a humidity sensor 125. The vibration sensor 124 and the humidity sensor 125 are connected to the DC motor 30. ) can be installed directly.

First, the vibration sensor 124 is configured to measure vibration or shaking that occurs during the operation of the DC motor 30. When abnormal vibration or shaking is detected, the parts of the DC motor 30 are imbalanced or the bearings are damaged. It can be determined that a problem such as this has occurred.

Next, the humidity sensor 125 is configured to determine the internal humidity of the DC motor 30. When the DC motor 30 operates in a high humidity environment, moisture penetrates into the inside of the DC motor 30. It may cause damage to electrical circuits or parts.

At this time, the humidity sensor 125 is used to detect the surrounding humidity of the DC motor 30, and by associating this with the inside of the DC motor 30, the DC motor changes according to the change in the surrounding humidity measured by the humidity sensor 125. (30) The humidity of the DC motor 30 can be measured by calculating the internal humidity.

The technical feature of measuring current, voltage, temperature, vibration and humidity using the sensor unit 120 configured as above is that it enhances the safety of the DC motor 30 and allows potential failures to be detected and prevented in advance. In this case, a reference value or reference range using the measured value in the normal driving state of the DC motor 30 and the normal driving range provided by the specifications of the DC motor 30 is set in advance and stored in a database to be described later. Whether or not an abnormality has occurred in the DC motor 30 can be confirmed in real time by comparing the measured values measured by the sensor unit 120 with a pre-stored reference value or reference range.

Next, the DC motor monitoring system 100 according to the present invention includes a CBM module (Condition Based Maintenance Module) that serves to determine whether an abnormality has occurred in the DC motor 30 from the measurements measured by the sensor unit 120 ( 130), the CBM module 130 may include a power supply unit 131, a sensor input unit 132, an isolation amplifier 133, and a CPU 134, as shown in FIG. 6. .

In more detail, the power supply unit 131 serves to supply power to enable the CBM module 130 including the CPU 134 to operate, and the power supplied from the DC motor driver 110 You can use .

That is, as shown in FIG. 7, the 110V DC power supplied from the DC motor driver 110 is converted into 12V DC power by the DC power converter (DC-DC Converter) 170 and supplied to the power supply unit 131. is supplied, and the power supply unit 131 can operate the CBM module 130 using 12V DC power supplied from a DC power converter.

Next, the sensor input unit 132 is configured to receive measurement values from each sensor constituting the sensor unit 120, and the CBM module 130 includes the type or number of sensors constituting the sensor unit 120. A corresponding number of sensor input units 132 may be provided.

That is, the measurements measured by the current sensor 121, voltage sensor 122, temperature sensor 123, vibration sensor 124, and humidity sensor 125 are transmitted through each sensor input unit 132 through the CBM module ( 130).

At this time, as described above, the values measured by the sensor unit 120 may be input to the CBM module 130 and simultaneously transmitted to the door control device 140 and transmitted to the TCMS 150 through communication.

Next, the isolation amplifier 133 is configured to be connected and installed between the sensor input unit 132 and the CPU 134, and the measurement values of the sensors input through each sensor input unit 132 are amplified by the isolation amplifier 133. and can be transmitted to the CPU 134.

At this time, the isolation amplifier 133 serves to insulate the connection lines between each sensor input unit 132 and the CPU 134, so the measured values input through the sensor input unit 132 minimize the influence of noise, etc. on the CPU. It can be passed to (134).

Next, the CPU 134 is configured to check whether an abnormality has occurred in the DC motor 30 using the measurement values of each sensor input through the sensor input unit 132. The CPU 134 includes the DC motor 30. ) A database (not shown) storing reference values or reference ranges of current, voltage, temperature, vibration and humidity using the measured values of each sensor in the normal operating state and the normal operating range provided by the specifications of the DC motor 30. ) may be provided.

That is, the database may store a reference value or reference range for determining that the DC motor 30 is in a normal operating state in relation to the current, voltage, temperature, vibration, and humidity that can be measured by the sensor unit 120. , the CPU 134 compares the measured values of the sensors input through the sensor input unit 132 with the reference value or reference range stored in the database, and if the measured value is different from the reference value or is not within the reference range, direct current It may be determined that an abnormality has occurred in the motor 30.

The CPU (134) can generate an alarm signal when an abnormal signal that is not included in the standard value or standard range is detected, or can report this to the TCMS (150), and can be sent directly to the control center through a separate output terminal (135). 160), etc., so that the presence or absence of abnormalities in the DC motor 30 can be monitored in real time.

Meanwhile, the measured values of the sensor unit 120 that are input to the CPU 134 in real time through the sensor input unit 132 can be stored in a database. The measured values stored in the database determine whether or not an abnormality has occurred in the DC motor 30. It can be used in machine learning to determine the likelihood of potential failure.

That is, the CPU 134 may further include a learning module (not shown), which detects or detects potential abnormalities in the DC motor 30 through machine learning using measurements from sensors accumulated in the database. It can play a role in improving the accuracy of judgments such as the possibility of failure.

To explain in more detail, in general, when an abnormality occurs in the DC motor 30, not only the measured values of a specific sensor deviate from the standard range, but the measured values of most sensors are likely to deviate from the standard range, so the current, voltage, and temperature , if only one of the vibration and humidity measurements deviates from the standard range and the remaining measurements fall within the standard range, it is more likely that an abnormality or failure has occurred in the DC motor 30, but rather a problem or failure in the sensor that transmitted the measurement value out of the standard range. It is highly likely that a malfunction has occurred.

In addition, although most of the sensor's measured values fall within the reference range, if they are close to the boundary value, it can be determined that there is a high risk of potential abnormality or failure of the DC motor 30.

In addition, the database contains sensor measurements when an abnormality or malfunction occurs in the DC motor 30, that is, current and voltage measured by the sensor unit 120 when an abnormality or malfunction occurs in the DC motor 30. , Measured values such as temperature, vibration, and humidity are separately stored and learned, and at the same time, sensor measurements before an abnormality occurs in the DC motor 30, for example, 10 days before an abnormality occurs in the DC motor 30, 7 By learning data according to time such as one day, five days, three days, one day, etc., if the measured values measured by the sensor unit 120 are similar to the data characteristics at a specific time before an abnormality of the DC motor 30 occurred, later It may be configured to predict that there is a risk of an abnormality occurring in the DC motor 30 within a certain period of time.

Therefore, in the learning module, machine learning is performed using the measurements of the sensor unit 120 accumulated in the database, that is, the measurement values of the sensor unit 120 accumulated in the database are used as input values, and the state of the DC motor 30 according to the result is used. Machine learning can be performed using as an output value, and the accuracy of judgment on whether an abnormality or failure of the DC motor 30 has occurred can be improved using the learning results.

At this time, the learning results from the learning module may also be stored in the database, and if the accuracy of the learning results is verified to some extent, the previously stored reference values or reference ranges of current, voltage, temperature, vibration, and humidity may be updated. there is.

In addition, the database of the CPU 134 separately stores the measured values measured by the sensor unit 120 when an abnormality or malfunction occurs in the DC motor 30, and at the same time, when an abnormality or malfunction occurs in the DC motor 30. Measurements over a certain period of time can be separated and stored according to time.

Therefore, when the data measured by the sensor unit 120 is input to the CPU 134, the DC motor 30 is compared with the measured values for a certain period before an abnormality or failure of the DC motor 30 pre-stored in the database. The occurrence of abnormalities or failures in (30) can be predicted in advance without learning using a learning model.

Meanwhile, as shown in FIG. 7, the sensor unit 120 and the CMS module 130 configured as above can be easily additionally installed in the existing electric vehicle door system, so the DC motor monitoring system 100 can be changed or The cost of conversion can be minimized.

Therefore, according to the DC motor monitoring system 100 and method according to the present invention as described above, the door system used in existing electric vehicles can be utilized as is, and the door is installed using a current sensor 121 that is provided in a detachable form. By enabling real-time monitoring of the load applied to the DC motor 30 that drives the door, preemptive maintenance of the door can be performed while minimizing installation and operating costs, thereby preventing door failure in advance. By measuring the status of the DC motor 30 in real time through a plurality of sensors, and simultaneously monitoring the measurement results and the result of determining whether an abnormality or failure of the DC motor 30 has occurred, through a plurality of devices. It has various advantages, such as improving the reliability of monitoring of the DC motor 30, reducing the time and cost required for overall maintenance of the electric train, and enabling smoother and safer operation of the electric train.

Although the above-described embodiments describe the most preferred examples of the present invention, it is not limited to the above embodiments, and it is clear to those skilled in the art that various modifications are possible without departing from the technical spirit of the present invention.

The present invention relates to a system and method for monitoring a direct current motor of a door for an electric vehicle, and more specifically, to monitor the load status of a direct current motor used for opening and closing a door using the door system of an existing electric vehicle without installing additional equipment. This relates to a direct current motor monitoring system and method for doors for electric vehicles that enables preemptive maintenance of doors by enabling real-time monitoring and thereby prevents door failures.

30: DC motor 31: Stator magnet
32: coil 33: commutator
34: Brush 35: Encoder
100: DC motor monitoring system 110: DC motor driver
120: sensor unit 121: current sensor
122: voltage sensor 123: temperature sensor
124: Vibration sensor 125: Humidity sensor
130: CBM module 131: Power supply unit
132: Sensor input unit 133: Isolation amplifier
134: CPU 135: output terminal
140: Door control unit (DCU) 150: TCMS
160: Control center 170: DC power converter

Claims (11)

In a door system for an electric vehicle including a DC motor driver, a direct current motor, and a door control device,
A DC motor monitoring system for an electric vehicle entrance door, characterized in that a current sensor for measuring the load of the DC motor is provided in a detachable form between the DC motor driver and the DC motor.
According to clause 1,
A direct current motor monitoring system for an electric vehicle door, characterized in that the load of the direct current motor measured by the current sensor is simultaneously transmitted to the door control device and one or more of the TCMS or CBM module.
In a door system for an electric vehicle including a DC motor driver, a direct current motor, and a door control device,
A sensor unit provided between the DC motor driver and the DC motor to measure the status of the DC motor in real time,
Comprising a CBM module that determines whether an abnormality has occurred in the DC motor using the measurements measured by the sensor unit,
DC motor monitoring system for entrance doors for electric vehicles.
According to clause 3,
The sensor unit,
A current sensor for measuring the load of a DC motor,
A voltage sensor that measures the voltage supplied from the DC motor driver to the DC motor, and
Including a temperature sensor for measuring the temperature of the DC motor,
DC motor monitoring system for entrance doors for electric vehicles.
According to clause 4,
The sensor unit,
It further includes a vibration sensor to measure vibration or shaking that occurs while driving the DC motor, and a humidity sensor to measure the humidity of the DC motor,
DC motor monitoring system for entrance doors for electric vehicles.
According to clause 4,
An entrance door for electric vehicles, characterized in that the load applied to the DC motor is simultaneously detected by measuring the load of the DC motor using the measurement value of the current sensor and measuring the amount of change in voltage and current for the power input from the DC motor driver. DC motor monitoring system.
According to clause 3,
The CBM module is,
A power supply unit that supplies power to enable the CBM module to operate using power supplied from the DC motor driver,
A sensor input unit where the measured values of the DC motor measured by the sensor unit are input,
Comprising a CPU that determines whether an abnormality has occurred in the DC motor using the measurements of the sensor unit input through the sensor input unit,
DC motor monitoring system for entrance doors for electric vehicles.
In the method of monitoring the direct current motor of the entrance door for electric vehicle,
A reference value input step of storing reference values or reference ranges of current, voltage, temperature, vibration, and humidity in a normal operating state of the DC motor in a database;
A measurement and transmission step in which the current, voltage, temperature, vibration and humidity of the DC motor or its surroundings are measured using a sensor unit provided between the DC motor driver of the electric car and the DC motor and transmitted to the CBM module and door control device;
Comprising an abnormality determination step of determining whether an abnormality has occurred in the DC motor by comparing the measured values measured by the sensor unit through the CBM module with the reference value or reference range stored in the reference value input step,
Direct current motor monitoring method for electric vehicle entrance doors.
According to clause 8,
The above abnormality determination step is,
A data storage step of storing measurements transmitted in real time from the sensor unit in a database,
A comparison step of comparing the measured values transmitted in real time from the sensor unit with a reference value or reference range previously stored in the database, and
As a result of the comparison in the comparison step, if an abnormal signal is detected that is not within the standard value or standard range among the measured values, an alarm signal is generated, or an alarm generation step is provided to notify the TCMS or control center.
Direct current motor monitoring method for electric vehicle entrance doors.
According to clause 9,
It further includes a learning step of performing machine learning using the measured values of the sensors accumulated in the database as input values and the state of the DC motor for the input values as output values,
In the above abnormality determination step, the learning results from the learning step are used to determine whether an abnormality has occurred in the DC motor.
Direct current motor monitoring method for electric vehicle entrance doors.
According to clause 10,
Further comprising an update step of updating the reference value or reference range stored in the reference value input step using the learning result in the learning step,
Direct current motor monitoring method for electric vehicle entrance doors.