KR102533975B1 - IoT network and AI-based circuit breaker monitoring device, method and system - Google Patents

Abstract

The present invention relates to a monitoring device, method and system. Element information of a main circuit breaker including an actuator is detected to determine whether there is an abnormality, and a current of a plurality of solenoid coils which individually drive the actuator is detected using a single current detection unit to check whether the actuator is abnormal.

Description

IoT network and AI-based circuit breaker monitoring device, method and system for railway vehicles

The present invention relates to an IoT network and AI-based circuit breaker monitoring device, method, and system for railway vehicles, and more particularly, to minimize and optimize maintenance through real-time status monitoring of main circuit breakers and related power devices of railway vehicles. It relates to a monitoring device, method and system that can be.

In general, the main circuit breaker (MCB) for railway vehicles opens and closes the power supply (single-phase 27.5KV) system via the catenary installed on the upper part of the railway track and the pantograph installed in the high-speed vehicle at normal times, and When an abnormality occurs in the electric circuit inside the vehicle after the secondary side of the main transformer mounted inside, it quickly blocks it to protect the main circuit.

The main circuit breaker includes an electronic actuator including a solenoid coil for operating a disconnect switch, and the electronic actuator may include a plunger indicating a closed or open state according to the current supply state of the solenoid coil.

Regarding monitoring of power facilities for railway vehicles such as main circuit breakers, Patent Publication No. 10-2020-0049918 (published on May 11, 2020, Electric Railway Power Facilities Monitoring Device) is known.

The above published patent describes a technology for converting high voltage and high current of a railway vehicle into a low voltage signal and analyzing voltage data and current data using the same.

However, the main circuit breaker of the railway vehicle cannot perform complete state monitoring by simply checking the voltage and current data.

In order to completely monitor the state of the main circuit breaker, it is necessary to detect the generation of excitation current by the solenoid coil installed in the main circuit breaker and information on various abnormal conditions caused by electrical stress.

In particular, as described in Registered Patent No. 10-2406038 (registered on June 2, 2022, electronic actuator of main circuit breaker for railway vehicles and its driving circuit) of the applicant of the present invention, using a characteristic actuator using a plurality of solenoid coils Development of a more specific monitoring device, method and system for the main circuit breaker is required.

US 06542077 B1 US 06542076 B1 US 07336156 B1 US 07397363 B1 US 10546441 B1

In view of the above problems, an object of the present invention is to provide a device, method and system capable of monitoring the state of a main circuit breaker for a railway vehicle using an actuator including at least two solenoid coils.

In addition, another object of the present invention is to detect various status monitoring elements, acquire big data on the status of various main circuit breakers, and to check the status of main circuit breakers for individual railway vehicles by data learning, a device, a method, and the like. in providing the system.

An apparatus for monitoring a main circuit breaker for a railway vehicle according to an aspect of the present invention for solving the above technical problem is to detect element information of a main circuit breaker including an actuator to determine whether or not there is an abnormality, and individually drive the actuator It is possible to check whether the actuator is abnormal by detecting the current of a plurality of solenoid coils using one current detector.

In an embodiment of the present invention, the element information may further include vibration of the main circuit breaker, vacuum level of the vacuum breaker, partial discharge, temperature, and humidity.

In an embodiment of the present invention, the controller may further include a control unit that compares the detected element information with a reference value or a reference range to determine whether there is an abnormality.

In an embodiment of the present invention, when the element information is vibration information, the control unit compares a normal vibration waveform with a waveform of the detected vibration information to determine whether the main circuit breaker is coupled abnormally or damaged.

In an embodiment of the present invention, when the element information is the degree of vacuum, the controller may compare the normal degree of vacuum and the detected degree of vacuum to determine whether the vacuum circuit breaker is abnormal.

In an embodiment of the present invention, when the element information is partial discharge information, the control unit can check whether the insulation of the main circuit breaker is damaged by comparing it with a partial discharge reference value.

In an embodiment of the present invention, when the element information is temperature information, the control unit can check the risk of fire by comparing it with a reference temperature.

In an embodiment of the present invention, the temperature information includes external temperature information of the main circuit breaker and internal temperature information of the main circuit breaker, and the controller excludes the influence of the external temperature information from the internal temperature information, and then a fire occurs. risk can be identified.

In an embodiment of the present invention, a display unit for displaying a result of determining whether or not the control unit has an abnormality may be further included.

In addition, a method for monitoring a main circuit breaker for a railway vehicle according to another aspect of the present invention includes a) individually detecting the temperature of internal components of the main circuit breaker through a plurality of internal temperature sensors, and b) using an external temperature sensor. detecting the outside air temperature of the main circuit breaker, c) calculating a temperature pattern that excludes the influence of the outside air temperature from the temperature of each component, and d) monitoring the possibility of a fire by checking the value of the temperature pattern steps may be included.

In an embodiment of the present invention, the temperature pattern may be calculated by subtracting the outdoor temperature from the temperature of each component or by calculating the temperature ratio of each component to the outdoor temperature.

In an embodiment of the present invention, a step of chronologically arranging the temperature patterns obtained in step c) to determine a change trend of the temperature pattern may be further included.

In an embodiment of the present invention, the method may further include estimating a remaining lifespan of each component by using the temperature pattern value and the change trend of the temperature pattern.

In an embodiment of the present invention, the step of estimating the remaining lifespan may include calculating a first estimate value according to the value of the temperature pattern, determining a correction value according to a change trend of the temperature pattern, and correcting the first estimate value. can

In addition, a monitoring system for a main circuit breaker for a railway vehicle according to another aspect of the present invention receives a main circuit breaker monitoring device and element information detected by the monitoring device, stores abnormality determination results, and learns the stored information. It may include a monitoring server that determines whether or not the main circuit breaker is abnormal using element information.

In an embodiment of the present invention, the monitoring server includes a big data processing module that receives element information detected by the monitoring device, classifies and stores abnormality determination results, and machine learning information stored in the big data processing module. and a learning module for determining whether or not the main circuit breaker is abnormal, and a diagnosis module for transmitting a result of determining whether the learning module is abnormal or not to the monitoring device.

In an embodiment of the present invention, the monitoring server may further include a correction module for correcting a reference value of the monitoring device when there is a difference between a result of determining whether the diagnosis module is abnormal and a result of determining whether the monitoring device is abnormal. there is.

The present invention can monitor the state of a main circuit breaker using an actuator including a holding coil and an operating coil with different mutual resistance components, implement big data using detected data, and use big data to By configuring to analyze the state of the main circuit breaker, there is an effect of reducing the time and cost required for maintenance and repair of the main circuit breaker for railway vehicles.

In addition, the present invention has an effect of enabling more accurate status confirmation by proposing more various monitoring elements.

1 is a block diagram of a monitoring device for a main circuit breaker for railway vehicles according to a preferred embodiment of the present invention.
2 is an exemplary view of an actuator applied to a main circuit breaker.
3 and 4 are circuit diagrams of circuits for driving the actuator of FIG. 2, respectively.
5 is a block configuration diagram of an environment detection unit in FIG. 1 .
6 is a flowchart illustrating an embodiment of the monitoring method of the present invention performed by a control unit.
7 is a detailed flowchart of step S50 in FIG. 6 .
8 is a detailed flowchart of step S60 in FIG. 6 .
9 is a block diagram of a monitoring system according to another aspect of the present invention.
10 is a block diagram of a monitoring server.

In order to fully understand the configuration and effects of the present invention, preferred embodiments of the present invention will be described with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, and may be implemented in various forms and various changes may be made. However, the description of the present embodiment is provided to complete the disclosure of the present invention and to completely inform those skilled in the art of the scope of the invention to which the present invention belongs. In the accompanying drawings, the size of the components is enlarged from the actual size for convenience of description, and the ratio of each component may be exaggerated or reduced.

Terms such as 'first' and 'second' may be used to describe various elements, but the elements should not be limited by the above terms. The above terms may only be used for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a 'first element' may be named a 'second element', and similarly, a 'second element' may also be named a 'first element'. can Also, singular expressions include plural expressions unless the context clearly indicates otherwise. Terms used in the embodiments of the present invention may be interpreted as meanings commonly known to those skilled in the art unless otherwise defined.

1 is a block diagram of a monitoring device for a main circuit breaker for railway vehicles according to a preferred embodiment of the present invention.

Referring to FIG. 1, the monitoring device 100 of the main circuit breaker for railway vehicles of the present invention includes a vibration detection unit 110 that detects vibration of the main circuit breaker 1 and detects the vacuum level of the vacuum interrupter of the main circuit breaker 1. A vacuum detector 120 detects partial discharge, a discharge detector 130 detects partial discharge, an environment detector 140 detects temperature and humidity, and a current detector 150 detects the solenoid coil current of the main circuit breaker 1. ), the control unit 160 for diagnosing abnormality using the data detected by each of the detection units, the display unit 170 for displaying the diagnosis result of the control unit 160, and the diagnosis result of the control unit 160 It may be configured to include a communication unit 180 that transmits to the outside.

Hereinafter, the configuration and operation of the monitoring device 100 of the main circuit breaker for railway vehicles according to the present invention constructed as described above will be described in more detail.

First, the main circuit breaker may be configured in various ways depending on the manufacturer or purpose, and components constituting the main circuit breaker may be modularized.

The monitoring device 100 of the present invention is used to monitor the state of the main circuit breaker, and has a feature that more specific state monitoring is possible using more various monitoring elements than in the prior art.

In particular, the current detection unit 150 can detect a coil current of an actuator of a main circuit breaker having a plurality of coils.

2 is an exemplary diagram of an actuator applied to the main circuit breaker, and FIGS. 3 and 4 are exemplary diagrams of an actuator driving circuit, respectively.

The actuator includes a housing 10, a first solenoid coil 20 and a second solenoid coil 30 installed inside the housing 10, the first solenoid coil 20 and the second solenoid coil 30 A driving plunger 40 in contact with a part of the inner diameter of the drive plunger 40 having a restoring force to an open state by a spring 60 and a movable plunger 50 having a part inserted into the inner diameter of the drive plunger 40 It can be.

In order to drive the actuator as described above, a circuit for supplying power to the power units 70, 71, and 72 including the first switch 80 and the second switch 90 may be implemented.

That is, the solenoid coils may include a first solenoid coil 20 and a second solenoid coil 30 that are divided and arranged in parallel with each other.

The first solenoid coil 20 may be supplied with current independently, and the second solenoid coil 30 always performs dependent control in which current is supplied or cut off together with the first solenoid coil 20.

The first solenoid coil 20 supplies the operating current and the holding current, and the purpose of the second solenoid coil 30 is to supply the operating current.

The resistance of the first solenoid coil 20 is greater than that of the second solenoid coil 30.

As such, for an actuator having a plurality of solenoid coils having different resistances and different functions, the current of each solenoid coil can be detected according to the present invention.

To this end, the current detection unit 150 detects the currents of the first solenoid coil 20 and the second solenoid coil 30 . The current detection unit 150 may include a plurality of coil-type or ohmic-type current sensors, but the hardware configuration is complicated in order to individually detect the current of the adjacent first solenoid coil 20 and second solenoid coil 30 , it may not be easy to detect the current due to each electromagnetic characteristic.

Therefore, in the present invention, the current detection unit 150 can be configured to detect the current of the first solenoid coil 20 and the second solenoid coil 30 using one current sensor.

The current detector 150 may be a magnetic field sensor that detects a magnetic field generated from each of the first solenoid coil 20 and the second solenoid coil 30 . That is, it is assumed that the sensor detects the detected magnetic field as current or voltage.

At this time, the detection result of the current detection unit 150 is provided to the control unit 160, and the control unit 160 compares the current according to the magnetic field detected by the current detection unit 150 with a reference value so that only the first solenoid coil 20 generates current. supply, or whether current is supplied to both the first solenoid coil 20 and the second solenoid coil 30.

Accordingly, coils to which current is currently supplied may be identified, and the current detection value detected by the current detection unit 150 may be used as the current value of the identified coils.

According to this configuration, the present invention can detect coil currents of two different solenoid coils while simplifying the configuration of the current detection unit 150. By checking the coil current detection value, the control unit 160 can check whether the actuator is normally operating.

The control unit 160 has a current reference range for each solenoid coil, and can compare the detected current with the reference range to check whether there is an abnormality.

The vibration detection unit 110 may be a sensor that detects vibration of the main circuit breaker 1 in its own weight direction. The present invention is applied to a main circuit breaker for railway vehicles, and the main circuit breaker for railway vehicles is installed on the upper side of the vehicle, and vibrations generated during operation of the railway vehicle continuously act.

The vibration detection unit 110 continuously detects vibration in the load direction of the main circuit breaker, and the control unit 160 can detect abnormal vibration of the main circuit breaker 1 by comparing it with the reference vibration.

The vibration abnormality of the main circuit breaker 1 may be a fastening abnormality such as a bolt fixing each part or a vibration abnormality caused by damage to a part, and these kinds of abnormalities may be classified in a monitoring system to be described later.

The vacuum detection unit 120 detects the degree of vacuum of the vacuum circuit breaker. The degree of vacuum of the vacuum circuit breaker detected by the vacuum detection unit 120 is provided to the controller 160, and the controller 160 may monitor the state of the circuit breaker using the detected degree of vacuum.

The discharge detection unit 130 detects discharge generated in the main circuit breaker 1 . Partial discharge may occur due to mechanical stress or aging of insulation, and the discharge detection unit 130 may be installed in the main insulation part of the main circuit breaker 1 to detect partial discharge and check whether insulation characteristics are deteriorated.

In addition, the environment detection unit 140 includes a temperature sensor and a humidity sensor to detect temperature and humidity.

5 is a block configuration diagram of the environment detection unit 140.

Referring to FIG. 5 , the environment detection unit may include at least one external temperature sensor 141 , a plurality of internal temperature sensors 142 and a humidity sensor 143 .

A plurality of humidity sensors 143 may be provided, and humidity inside and outside the main circuit breaker 1 may be detected and provided to the control unit 160 . The control unit 160 receiving humidity information of the inside and outside of the main circuit breaker 1 detected by the humidity sensor 143 may check whether the difference between inside and outside humidity is normal.

The control unit 160 determines that the main circuit breaker 1 is flooded or leaked when the difference between the inside and outside humidity is less than the reference value, displays the flood check on the display unit 170, and transmits it to the outside through the communication unit 180. there is.

The communication unit 180 may use wireless communication, and may transmit collected data to an external server so that the monitoring device 100 according to the present invention can act as an IoT device.

The internal temperature sensor 142 may detect the temperature of the components of the main circuit breaker 1, respectively. At this time, the component may include a mechanical operating part such as an actuator, and may be mounted on a driving circuit for driving the actuator. By detecting the temperature of the component using the internal temperature sensor 142, it is possible to monitor the risk of fire occurrence by detecting abnormal overheating.

The external temperature sensor 141 detects the external temperature of the main circuit breaker 1.

The reason and operation of detecting the external temperature of the main circuit breaker 1 using the external temperature sensor 141 will be described in more detail.

The monitoring device according to the present invention detects the temperature and external temperature of the components, confirms aging of the components, and predicts the remaining lifespan. The prediction of the remaining life will be described in more detail.

6 is a flowchart illustrating an embodiment of the monitoring method of the present invention performed by the controller 160.

Referring to FIG. 6 , the control unit 160 detects the temperature of the components constituting the main circuit breaker 1 through a plurality of internal temperature sensors 142 (S10), and the external temperature sensor 141 through the main circuit breaker 141. A step of detecting the outdoor temperature outside the circuit breaker (S20), a temperature pattern calculation step (S30) in which the controller 160 uses the temperature of the components and the outdoor temperature to pattern the temperature pattern, and arranges the temperature pattern in time series. (S40) checking the temperature pattern change for each component over time (S40), monitoring the possibility of fire by checking the temporal change trend of the temperature pattern (S50), and each component stored in a memory (not shown) It is configured to include a step (S60) of estimating the degree of aging deterioration using the type and function information and the temperature pattern of each of the patterned components.

Hereinafter, an embodiment of the monitoring method of the present invention configured as described above will be described in more detail.

First, in the present invention, the internal temperature and the external temperature of the power device are detected together, the difference between the internal temperature and the external temperature of the main circuit breaker is obtained, and temperature monitoring and aging deterioration estimation are performed using this.

For this purpose, an internal temperature sensor 142 and an external temperature sensor 141 are used.

At this time, as described above, the internal temperature sensor 142 detects the temperature of each of the components requiring temperature detection, and the number of internal temperature sensors 142 is the same as the number of components requiring temperature detection.

The internal temperature sensor 142 can be applied regardless of its type.

When installed, the internal temperature sensor 142 checks the type of component each detects, performs 1:1 matching between the internal temperature sensor 142 and the type of component, and stores matching information in a memory.

In addition, the external temperature sensor 141 detects the external temperature of the main circuit breaker.

The external temperature sensor 141 can also be applied to the implementation of the present invention regardless of its type.

In step S10, the temperature of internal components of the main circuit breaker is detected, and in step S20, the external temperature of the main circuit breaker is detected.

The temperature detection result of each step S10 and S20 is input to the control unit 160.

The controller 160 may use a normal processor.

The control unit 160 obtains a temperature pattern by using the difference between the temperature detection result of each component in step S10 and the outdoor temperature detection result in step S20, which are detected at the same time as in step S30.

Here, the temperature detection result of each component may be different, and since the outdoor temperature is measured as one value at the same time point, the temperature characteristics of each component with respect to the outdoor temperature can be obtained.

The temperature patterning used in the present invention can be achieved by subtracting the outdoor temperature from the temperature detection result of the component, and as another example, a relative ratio can be detected by dividing the temperature detection result of the component by the outdoor temperature.

As such, the temperature pattern is to form a value that excludes the influence of outside air temperature during processing using temperature, and it is possible to check the temperature change of each component that occurs during actual operation of the main circuit breaker excluding the influence of outside air.

In particular, the temperature pattern may be periodically collected. The collection period of the temperature pattern may be arbitrarily set.

The obtained temperature patterns are time-sequentially arranged in step S40 in the control unit 160, and changes in temperature patterns for each component can be detected.

Next, in step S50, the change trend of the temperature pattern is detected, and the possibility of fire occurrence is predicted.

More specifically, FIG. 7 is a detailed flowchart of step S50.

Referring to FIG. 7, it is determined whether a section in which the trend of change in the temperature pattern is changed to more than a set slope has occurred (S51), and if there is a section in which the change in the slope is greater than or equal to the set slope, it is checked whether the value of the current temperature pattern is equal to or greater than the set fire risk temperature (S52). ).

As a result of the check in the step S52, if the fire risk set temperature is higher, a fire risk alarm is issued (S54). The fire risk alert at this time is displayed on the display unit 170 and transmitted to the outside through the communication unit 180.

If it is less than the fire risk set temperature, it is checked whether the change section of the current set slope or more has occurred more than the set number of times (S53).

If it does not occur more than the set number of times, step S51 is performed again, and if it occurs more than the set number of times, aging deterioration estimation is performed (S60).

Through this process, the temperature of the component excluding the influence of the outside temperature and the temperature change trend can be checked, and the temperature of the component can be more accurately detected and the risk of fire can be monitored accordingly.

8 is a detailed flowchart of the aging deterioration estimation step.

Referring to FIG. 8 , the aging deterioration estimation step (S60) includes a step (S61) of checking the material properties of the corresponding component stored in the memory, and a step (S62) of checking the type of the component to determine whether the corresponding component is a movable part or a fixed part (S62). , Estimating the degree of deterioration of the corresponding component using the size and change trend of the temperature pattern according to the confirmed material characteristics and the type characteristics of the component (S63).

Components of the main circuit breaker operate at high temperatures for a long time, and when exposed to high temperatures for a long time, depending on the material, a layer deficient in a specific element may be formed or there may be a difference in the degree of precipitation of impurities into grain boundaries.

In the memory, values for the degree of formation of the deficient layer of the specific element and the degree of precipitation of impurities are stored in the memory, and in step S61, the state due to the change in the internal structure can be confirmed by checking the material characteristics.

In addition, in step S62, the type of component is confirmed. At this time, the type of component is to check the mechanical properties of the component. When a component is mechanically operated, stress due to mechanical operation repeatedly occurs, so the expected life due to aging deterioration is shorter than that of a component that is not operated and is fixedly installed. It has a characteristic.

In this way, it is possible to perform more accurate aging deterioration estimation by estimating aging deterioration by checking whether or not the components are mechanically operated.

Then, the control unit 160 estimates aging deterioration of the corresponding component using the size of the temperature pattern obtained previously and the increasing trend of the temperature pattern. In other words, it is possible to predict the life of components and estimate the replacement time.

Detailed aging deterioration estimation can be made sequentially.

First, the size of the temperature pattern is checked to predict the lifespan according to the material of the component (first estimated value).

Then, a second estimate value is obtained by correcting the obtained first estimate value according to the type of component.

At this time, as a correction value for correcting the second estimated value, a value of 0 for a fixed component without operation and a value of -N for a component that is a movable component may be assigned. Here, N is an arbitrary number, and the second estimation value is obtained by performing correction to further reduce the remaining life indicated by the first estimation value in the case of a movable product.

Then, a third estimate value, which is a final life prediction result, is estimated by correcting the second estimate value by using the trend of increase in the temperature pattern.

At this time, a correction value for estimating the third estimation value can be obtained by an equation of -X/n.

X is the slope of the temperature pattern transition of the component, and n is assumed to be a constant.

That is, the larger the slope, the larger the absolute value of the correction value, and the more rapid the change trend of the temperature pattern is, the shorter the estimated remaining lifespan is corrected.

The estimated degree of aging deterioration can be displayed on the display unit 170 or the like, or can be processed through the communication unit 180 so that a manager can recognize it.

As such, the present invention can monitor the fire risk using the temperature of the internal components of the main circuit breaker excluding the outside temperature, and can estimate the remaining life of each component using the temperature of the components and the temperature change trend of the components.

Through this configuration, the present invention has the feature of adding the monitoring device 100 to the railway vehicle to check the overall state of the main circuit breaker 1 in real time, and predicting the remaining life of a specific part itself.

9 is a block diagram of a monitoring system according to another aspect of the present invention.

Referring to FIG. 9, the monitoring system according to another aspect of the present invention collects monitoring data transmitted from a plurality of monitoring devices 100 and each communication unit 180 of the monitoring devices 100, and the main circuit breaker 1 ) It is configured to include a monitoring server 200 that builds big data for and automatically checks the main circuit breaker 1 through machine learning.

Hereinafter, the configuration and operation of the monitoring system according to an embodiment of the present invention will be described in more detail.

First, the monitoring device 100 is the same as the example described above with reference to FIGS. 1 and 5, and includes a vibration detection unit 110, a vacuum detection unit 120, a discharge detection unit 130, an environment detection unit 140, and a current detection unit ( 150), a control unit 160, a display unit 170 and a communication unit 180.

The control unit 160 transmits the vibration of the main circuit breaker 1, the degree of vacuum, whether or not partial discharge has occurred, temperature and humidity information, and the current detection value of the solenoid coil through the communication unit 180.

In this case, the control unit 160 may also transmit the self-determined vibration abnormality, vacuum abnormality, degree of damage to the insulation part, the result of estimating the remaining lifespan of the component, and whether the actuator is normally operated.

10 is a block diagram of the monitoring server 200.

Referring to FIG. 10, the monitoring server 200 includes a communication unit 210 that communicates with the communication unit 180 of the monitoring device 100, data collected through the communication unit 210, and determination of the monitoring device 100. The big data processing module 220 that implements big data for the monitoring of the main circuit breaker 1 by storing the result, and learning the big data of the big data processing module 220, learning by individual detection element to learn individual elements A learning module 230 that determines whether or not there is an abnormality for , and a diagnosis module 240 that transmits the diagnosis result of a specific main circuit breaker 1 through the communication unit 210 according to the judgment result of the learning module 230 ) and the diagnosis result of the diagnosis module 240 and the judgment result of the monitoring device 100 of the big data processing module 220 are compared, and if there is a difference, the reference range or reference value of the monitoring device 100 It is configured to include a correction module 250 that generates a correction value of and transmits it to the monitoring device 100 through the communication unit 210.

As described above, the monitoring device 100 not only detects various pieces of monitoring information about the main circuit breaker 1, but also uses the detected information to check the corresponding information in the controller 160 to determine whether it is normal. This determination is made by comparing the size of information detected by the control unit 160 based on a reference range or reference value.

Such a reference range or reference value has a critical property, and abnormality determination can be performed very sensitively according to the setting of the reference range or reference value.

This is because, for example, when the reference value is too low or too high and there is little difference from the regular detection value, it can be detected that a specific abnormality of the main circuit breaker 1 has occurred even if a slight detection error occurs.

In order to provide a more flexible monitoring system, the present invention uses the monitoring server 200 to perform more accurate abnormality detection, and the abnormality determination result of the monitoring server 200 and the abnormality determination result of the monitoring device 100 When is different from each other, it is possible to implement a more flexible monitoring system by properly correcting the reference value or reference range used by the control unit of the monitoring device 100.

To explain this in more detail, the big data processing module 220 transmits data collected through the communication unit 210 and specific elements of the main circuit breaker 1 in the control unit 160 of the monitoring device 100, respectively. Stores the result of determining whether or not there is an abnormality for

The monitoring device 100 of the present invention is installed one by one in at least one railroad car, and since collected data and abnormality determination results are collected at each set period, a lot of data can be collected in a short time.

The big data processing module 220 may classify and store the collected data for each element.

Here, the element may be a value detected by each detection unit of the monitoring device 100 . For example, vibration data, vacuum data, discharge data, temperature and humidity data, and current data may be classified and stored as individual elements.

In addition, for each element, the determination result of whether each controller 160 determines whether or not there is an abnormality is linked and stored.

In this state, the learning module 230 performs learning using the collected data and abnormality determination results. Machine learning at this time can be applied to the present invention regardless of its type.

Learning at this time may also be performed for each element.

Then, the learning module 230 can determine the state of each element of the main circuit breaker 1 monitored by the specific monitoring device 100 by learning the collected data.

For example, it can be determined that there is an abnormality in the current detection result of the main circuit breaker 1.

This judgment result is checked in the diagnostic module 240, verified if necessary, and transmitted to the monitoring device 100 through the communication unit 210. The monitoring device 100 may display the received result on the display unit 170 .

In addition, the correction module 250 compares the diagnosis result of the diagnosis module 240 with the result determined by the controller 160 of the monitoring device 100 of the big data processing module 220 .

All the same, if it is determined that a specific element is abnormal, the correction module 250 does not perform the correction of the reference value, and the result determined by the control unit 160 is more than a specific element of the main circuit breaker 1, and the diagnosis module 240 When the diagnosis result of ) is normal, correction data for correcting the reference value of the current control unit 160 is transmitted to the monitoring device 100 through the communication unit 210.

When the correction data is received, the monitoring device 100 stores it in a memory and changes the reference value or reference range of the control unit 160 .

Through this process, the present invention can perform more flexible state monitoring.

Embodiments according to the present invention have been described above, but these are merely examples, and those skilled in the art will understand that various modifications and embodiments of equivalent range are possible therefrom. Therefore, the true technical protection scope of the present invention should be defined by the following claims.

100: monitoring device 110: vibration detection unit
120: vacuum detection unit 130: discharge detection unit
140: environment detection unit 150: current detection unit
160: control unit 170: display unit
180: communication unit 200: monitoring server
210: communication unit 220: big data processing module
230: learning module 240: diagnosis module
250: correction module

Claims (17)

A vibration detection unit for detecting vibration of the main circuit breaker including an actuator, a vacuum detection unit for detecting the vacuum level of the main circuit breaker vacuum interrupter, a discharge detection unit for detecting partial discharge, an environment detection unit for detecting temperature and humidity, A current detection unit for detecting the current of the solenoid coil of the circuit breaker, a control unit for diagnosing an abnormality using data detected by the vibration detection unit, the vacuum detection unit, the discharge detection unit, the environment detection unit, and the current detection unit, respectively; A display unit for displaying the diagnosis result of and a communication unit for transmitting the diagnosis result of the control unit to the outside,
The environment detection unit,
an external temperature sensor for detecting an external air temperature of the main circuit breaker; and
Including a plurality of internal temperature sensors for respectively detecting the temperature of the internal components of the main circuit breaker,
The control unit,
The temperature pattern is obtained by obtaining the difference between the temperature of the above components and the outdoor temperature, and the temperature pattern is arranged in a time-series manner to check the temporal change of the temperature pattern for each component for each period to monitor the possibility of fire occurrence and store in memory. Predict the life of each component according to the material, and estimate aging deterioration by correcting the predicted life by applying different correction values depending on whether each component is a fixed or movable product,
A monitoring device characterized in that a final life prediction result is obtained by applying a correction value obtained by dividing the value corrected by the correction value by the slope of the temperature pattern trend by a constant. delete delete delete delete delete delete delete delete a) individually detecting temperatures of internal components of the main circuit breaker through a plurality of internal temperature sensors;
b) detecting the outside temperature of the main circuit breaker using an outside temperature sensor;
c) calculating a temperature pattern that excludes the influence of outside air temperature from the temperature of each component; and
d) monitoring the possibility of fire by checking the value of the temperature pattern,
chronologically arranging the temperature patterns obtained in the step c) to determine a change trend of the temperature patterns; and
Further comprising the step of estimating the remaining life of each component using the temperature pattern value and the change trend of the temperature pattern,
Estimation of the remaining life,
A first estimate value is calculated according to the size of the temperature pattern and the material of the component, and a second estimate value is obtained by correcting the first estimate value using a correction value determined according to whether the individual component is a fixed part or a movable part. , The monitoring method of the main circuit breaker characterized in that the third estimated value is obtained by correcting the second estimated value using the increasing trend of the temperature pattern. According to claim 10,
The temperature pattern is
It is calculated by subtracting the outside air temperature from the temperature of each component,
A monitoring method of the main circuit breaker, characterized in that by calculating the temperature ratio of each component to the outside air temperature. delete delete delete The monitoring device of the main circuit breaker of claim 1; and
A monitoring system including a monitoring server that receives element information detected by the monitoring device, stores abnormality determination results, learns the stored information, and determines whether the main circuit breaker is abnormal using element information. According to claim 15,
The monitoring server,
A big data processing module for receiving the element information detected by the monitoring device and classifying and storing abnormality determination results;
a learning module for machine learning the information stored in the big data processing module and determining whether the main circuit breaker is abnormal; and
A monitoring system comprising a diagnostic module for transmitting a result of determining whether the learning module is abnormal to the monitoring device. According to claim 16,
The monitoring server,
The monitoring system further comprises a correction module for correcting a reference value of the monitoring device when there is a difference between a result of determining whether the diagnosis module is abnormal and a result of determining whether the monitoring device is abnormal.

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