KR20240062851A - IoT network and AI-based circuit breaker monitoring method - Google Patents

Abstract

The present invention relates to a monitoring method, which includes a) individually detecting the temperature of the internal components of the main circuit breaker through a plurality of internal temperature sensors, and b) detecting the outdoor temperature of the main circuit breaker using an external temperature sensor. It may include steps c) calculating a temperature pattern that excludes the influence of external temperature from the temperature of each component, and d) monitoring the possibility of fire occurrence by checking the value of the temperature pattern.

Description

IoT network and AI-based circuit breaker monitoring method for railway vehicles {IoT network and AI-based circuit breaker monitoring method}

The present invention relates to a method for monitoring circuit breakers for railway vehicles based on IoT networks and AI. More specifically, a monitoring method that can minimize and optimize maintenance through real-time status monitoring of main circuit breakers and related power equipment in railway vehicles. It's about.

In general, the main circuit breaker (MCB) for railway vehicles normally opens and closes the tram line power (single phase 27.5KV) system via the pantograph installed on the tram line and high-speed vehicle installed on the upper part of the railroad track, and operates on the high-speed vehicle. When an abnormality occurs in the electric circuit inside the vehicle after the secondary side of the main transformer mounted inside, it quickly shuts it off to protect the main circuit.

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

In relation to monitoring of power equipment for railway vehicles, such as main circuit breakers, Publication Patent No. 10-2020-0049918 (published on May 11, 2020, electric railway power equipment monitoring device) is known.

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

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

In order to fully monitor the state of the main circuit breaker, the state of the main circuit breaker must be detected by generating exciting current by the solenoid coil installed in the main circuit breaker and various abnormal status information due to electrical stress.

In particular, as described in the applicant's registered patent 10-2406038 (registered on June 2, 2022, electronic actuator of main circuit breaker for railway vehicles and its driving circuit), a characteristic actuator using a plurality of solenoid coils is used. The development of more specific monitoring devices, methods, and systems for main circuit breakers is required.

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

The purpose of the present invention in consideration of the above problems is to provide a method for monitoring the condition 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, obtain big data on the status of various main circuit breakers, and provide a method for checking the status of main circuit breakers for individual railway vehicles through data learning. there is.

A monitoring device for a main circuit breaker for a railway vehicle according to one aspect of the present invention to solve the above technical problem detects element information of the main circuit breaker including an actuator to determine whether there is an abnormality, and individually drives the actuator. By detecting the current of a plurality of solenoid coils using one current detection unit, it is possible to check whether the actuator is abnormal.

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

In an embodiment of the present invention, a control unit may be further included to determine whether an abnormality exists by comparing the detected element information with a reference value or reference range.

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

In an embodiment of the present invention, when the element information is the vacuum degree, the control unit may check whether the vacuum breaker is abnormal by comparing the normal vacuum degree and the detected vacuum degree.

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 occurrence by comparing it with the 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 control unit excludes the influence of external temperature information from the internal temperature information and then generates a fire. Risks can be identified.

In an embodiment of the present invention, the display unit may further include a display unit that displays a result of determining whether or not the control unit has an abnormality.

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

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

In an embodiment of the present invention, the step of determining the change trend of the temperature pattern by arranging the temperature pattern obtained in step c) in time series may be further included.

In an embodiment of the present invention, the step of estimating the remaining lifespan of each component may be further included 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 life includes calculating a first estimate value according to the value of the temperature pattern, determining a correction value according to the change trend of the temperature pattern, and correcting the first estimate value. You can.

In addition, the monitoring system for the main circuit breaker for railway vehicles according to another aspect of the present invention includes a monitoring device for the main circuit breaker, receives element information detected by the monitoring device, stores the result of determining whether there is an abnormality, and learns the stored information. Therefore, it may include a monitoring server that determines whether 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 and classifies and stores abnormality determination results, and performs machine learning on the information stored in the big data processing module. It may include a learning module that determines whether the main circuit breaker is abnormal, and a diagnostic module that determines whether the learning module is abnormal and transmits a result of determining whether the learning module is abnormal.

In an embodiment of the present invention, the monitoring server may further include a correction module that corrects the reference value of the monitoring device when there is a difference between the determination result of the diagnostic module and the abnormality determination result of the monitoring device. there is.

The present invention can monitor the status of a main circuit breaker using an actuator including a holding coil and an operating coil with different mutual resistances, implement big data using the detected data, and use the big data to monitor the status of the main circuit breaker in the field. 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 proposes more diverse monitoring elements, which has the effect of enabling more accurate status confirmation.

Figure 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.
Figure 2 is an exemplary diagram of an actuator applied to a main circuit breaker.
Figures 3 and 4 are circuit diagrams of a circuit for driving the actuator of Figure 2, respectively.
Figure 5 is a block diagram of the environment detection unit in Figure 1.
Figure 6 is a flowchart of an implementation of the monitoring method of the present invention performed by the control unit.
Figure 7 is a detailed flowchart of step S50 in Figure 6.
Figure 8 is a detailed flowchart of step S60 in Figure 6.
Figure 9 is a block diagram of a monitoring system according to another aspect of the present invention.
Figure 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 attached drawings. However, the present invention is not limited to the embodiments disclosed below, but can be implemented in various forms and various changes can be made. However, the description of this embodiment is provided to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the present invention of the scope of the invention. In the attached drawings, components are shown enlarged in size for convenience of explanation, and the proportions of each component may be exaggerated or reduced.

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

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

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

First, the main circuit breaker can be configured in various ways depending on the manufacturer or purpose, and the components that make up the main circuit breaker may be modular.

The monitoring device 100 of the present invention is used to monitor the state of the main circuit breaker, and has the feature of enabling more specific state monitoring by using more diverse monitoring elements compared to the conventional device.

In particular, the current detection unit 150 may be capable of detecting the coil current of the actuator of the main circuit breaker having a plurality of coils.

FIG. 2 is an exemplary diagram of an actuator applied to a 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, and the first solenoid coil 20 and the second solenoid coil 30. It includes a driving plunger 40 in contact with a portion of the inner diameter of the device, a movable plunger 50 that has a restoring force to the open state by a spring 60, and is partially inserted into the inner diameter of the driving plunger 40. It can be.

In order to drive the above actuator, a circuit that supplies power to the power supply units 70, 71, and 72, including the first switch 80 and the second switch 90, can be implemented.

That is, the solenoid coil 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 is always subject to dependent control in which current is supplied or cut off together with the first solenoid coil 20.

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

The resistance of the first solenoid coil 20 is set to be greater than the resistance of the second solenoid coil 30.

For an actuator having a plurality of solenoid coils with different resistances and functions, the present invention can detect the current of each solenoid coil.

For this purpose, the current detection unit 150 detects the current 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 in order to individually detect the current of the adjacent first solenoid coil 20 and second solenoid coil 30, the hardware configuration becomes complicated. , detection of current may not be easy 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 detection unit 150 may be a magnetic field sensor that detects the magnetic field generated from each of the first solenoid coil 20 and the second solenoid coil 30. In other words, it is assumed to be a sensor that 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 the reference value to ensure that the current is only in the first solenoid coil 20. It can be confirmed whether current is supplied or whether current is supplied to both the first solenoid coil 20 and the second solenoid coil 30.

Therefore, the coil to which current current is supplied can be distinguished, and the detection value detected by the current current detection unit 150 can be the current value of the divided coil.

With 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 this coil current detection value, the control unit 160 can check whether the actuator is operating normally.

The control unit 160 has a current reference range for each solenoid coil, and can check for abnormalities by comparing the detected current with the reference range.

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 a railway vehicle. The main circuit breaker for a railway vehicle is installed on the upper side of the vehicle, and the vibration generated during the operation of the railway vehicle continuously acts.

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 vibrations 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 of the bolts that secure each component, or a vibration abnormality due to damage to the component, and these types of abnormalities can be classified in the monitoring system described later.

The vacuum detection unit 120 detects the vacuum level of the vacuum breaker. The vacuum level of the vacuum circuit breaker detected by the vacuum detection unit 120 is provided to the control unit 160, and the control unit 160 can monitor the state of the vacuum circuit breaker using the detected vacuum level.

The discharge detection unit 130 detects discharge occurring in the main circuit breaker (1). Partial discharge may be caused by mechanical stress or insulation aging, and the discharge detection unit 130 can be mounted on the main insulating part of the main circuit breaker 1 to detect partial discharge and check whether the insulation characteristics are deteriorated.

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

Figure 5 is a block 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.

The humidity sensor 143 may be provided in multiple numbers, and may detect humidity inside and outside the main circuit breaker 1 and provide the humidity to the control unit 160. The control unit 160, which receives the humidity information inside and outside the main circuit breaker 1 detected by the humidity sensor 143, can check whether the difference between inside and outside humidity is normal.

If the difference in humidity between the inside and outside is less than the standard value, the control unit 160 determines that the main circuit breaker (1) is flooded or water leaked, 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 can use wireless communication and can transmit collected data to an external server so that the monitoring device 100 according to the present invention can function as an IoT device.

The internal temperature sensor 142 may detect the temperatures of each component of the main circuit breaker (1). At this time, the component may include mechanical operating parts such as an actuator, and may also be mounted on a driving circuit that drives the actuator. By detecting the temperature of components using the internal temperature sensor 142, it is possible to detect abnormal overheating and monitor the risk of fire.

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 explained in more detail.

The monitoring device of the present invention detects the temperature of the components and the external temperature, confirms aging deterioration of the components, and can predict the remaining lifespan. This prediction of remaining life will be described in more detail.

Figure 6 is a flowchart of an implementation of the monitoring method of the present invention performed by the control unit 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 main circuit breaker 1 through the external temperature sensor 141. A step of detecting the outdoor temperature outside the circuit breaker (S20), a temperature pattern calculation step (S30) of patterning the temperature of the components and the outdoor temperature in the control unit 160, and arranging the temperature patterns in time series. A step of checking the change in the temperature pattern over a period for each component (S40), a step of monitoring the possibility of fire by checking the temporal change trend of the temperature pattern (S50), and a step of monitoring the possibility of fire occurrence for each component stored in the memory (not shown). It includes a step (S60) of estimating the degree of aging deterioration using type and function information and the temperature pattern of each patterned component.

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 and external temperatures of the power equipment are detected together, the difference between the internal and external temperatures of the main circuit breaker is obtained, and temperature monitoring and aging deterioration estimation are performed using this.

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

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

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

The internal temperature sensor 142 can check the types of components it detects when installed, match the internal temperature sensor 142 and the types of components 1:1, and store the matching information in memory.

Additionally, 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 the 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 results of steps S10 and S20 are input to the control unit 160.

The control unit 160 may use a typical processor.

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

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

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

In this way, the temperature pattern is intended to form a value that excludes the influence of external temperature when 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 external air.

In particular, temperature patterns can be collected periodically. The collection cycle of the temperature pattern can be set arbitrarily.

The temperature pattern obtained in this way is arranged in time series in the control unit 160 as in step S40, so that changes in the temperature pattern for each component can be detected.

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

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

Referring to FIG. 7, it is determined whether a section in which the change trend of the temperature pattern changes beyond the set slope has occurred (S51), and if there is a section where the change trend exceeds the set slope, it is checked whether the value of the current temperature pattern is above the fire risk set temperature (S52). ).

If, as a result of the confirmation in step S52, it is above the fire risk set temperature, a fire risk alarm is issued (S54). At this time, the fire risk warning is displayed on the display unit 170 and is transmitted to the outside through the communication unit 180.

If it is below the fire risk set temperature, check whether the change section exceeding the currently set slope 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 and temperature change trend of the component can be confirmed excluding the influence of the external temperature, thereby detecting the temperature of the component more accurately and monitoring the resulting fire risk.

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

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

The components of the main circuit breaker operate at high temperatures for a long time, and when exposed to high temperatures for a long time, a deficient layer of inherent elements may be formed depending on the material, or there may be differences in the degree of precipitation of impurities at grain boundaries.

The memory stores values for the degree of formation of a deficiency layer of unique elements and the degree of precipitation of impurities according to the material, and in step S61, the state due to changes in internal structure can be confirmed by checking such material characteristics.

Additionally, 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 the component is mechanically operated, stress due to mechanical operation occurs repeatedly, and the life expectancy due to aging is shorter than that of a component that is not in operation but is fixedly installed. There is a characteristic.

In this way, it is possible to check the mechanical operation of the component and estimate the aging deterioration, thereby performing a more accurate estimation of the aging deterioration.

Next, the control unit 160 estimates the aging deterioration of the corresponding component using the size of the previously obtained temperature pattern and the increase trend of the temperature pattern. In other words, it is possible to predict the lifespan of components and estimate replacement times.

Specific aging deterioration estimates can be made sequentially.

First, check the size of the temperature pattern and predict the lifespan according to the component material (first estimate).

Next, the obtained first estimate value is corrected according to the type of component to obtain the second estimate value.

At this time, the correction value for correcting the second estimated value can be given a value of 0 for fixed components without movement, and -N for movable components. Here, N is an arbitrary number, and the second estimate value is obtained by performing corrections to further reduce the remaining lifespan indicated by the first estimate value in the case of movable products.

Next, the second estimate value is corrected using the increase trend of the temperature pattern to estimate the third estimate value, which is the final lifespan prediction result.

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

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

In other words, the larger the slope, the larger the absolute value of the correction value becomes, and as the temperature pattern changes more rapidly, the remaining life estimate is corrected to become shorter.

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

In this way, the present invention enables monitoring of fire risk using the temperature of the internal components of the main circuit breaker excluding the outside temperature, and can also estimate the remaining lifespan of each component using the component temperature and the temperature change trend of the component.

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

Figure 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 the communication unit 180 of each of the monitoring devices 100, and monitors the main circuit breaker (1). ) and includes a monitoring server (200) that automatically inspects 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 previously described 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 partial discharge has occurred, temperature and humidity information, and the current detection value of the solenoid coil through the communication unit 180.

At this time, the control unit 160 may transmit the vibration abnormality, vacuum abnormality, insulation damage, the remaining life estimation result of the component, and whether the actuator is operating normally, as determined by itself in the previous embodiment.

Figure 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 a decision of the monitoring device 100. A big data processing module 220 that stores the results and implements big data for monitoring the main circuit breaker (1), and learns the big data of the big data processing module 220, and learns each individual detection element to detect individual elements. A learning module 230 that determines whether an abnormality exists, and a diagnostic 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, if there is a difference by comparing the diagnosis result of the diagnosis module 240 with the judgment result of the monitoring device 100 of the big data processing module 220, 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 and transmits it to the monitoring device 100 through the communication unit 210.

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

This reference range or reference value has a critical nature, and abnormality determination can be performed very sensitively depending on the setting of the reference range or reference value.

For example, if the reference value is too low or too high and there is little difference from the regular detection value, a specific abnormality in the main circuit breaker 1 may be detected even if a slight detection error occurs.

The present invention uses the monitoring server 200 to provide a more flexible monitoring system, enabling 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 are different from each other, a more flexible monitoring system can be implemented by appropriately correcting the reference value or reference range used in 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 each specific element of the main circuit breaker 1 from the control unit 160 of the monitoring device 100. The result of determining whether there is an abnormality is saved.

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

The big data processing module 220 can 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 can be classified and stored as individual elements.

In addition, for each element, the judgment result of whether there is an abnormality determined by each control unit 160 is linked and stored.

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

Learning at this time can also be done for each element.

Afterwards, the learning module 230 can learn the collected data and determine the status of each element of the main circuit breaker 1 monitored by the specific monitoring device 100.

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

This determination result is checked in the diagnostic module 240, verified if necessary, and then transmitted to the monitoring device 100 through the communication unit 210. The monitoring device 100 may display the received results 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 control unit 160 of the monitoring device 100 of the big data processing module 220.

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

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

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

Although embodiments according to the present invention have been described above, they are merely illustrative, and those skilled in the art will understand that various modifications and equivalent scope of embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined 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 Department 200: Monitoring Server
210: Communication Department 220: Big data processing module
230: Learning module 240: Diagnosis module
250: Correction module

Claims (2)

a) individually detecting the temperature of the internal components of the main circuit breaker through a plurality of internal temperature sensors;
b) detecting the outdoor temperature of the main circuit breaker using an external temperature sensor;
c) calculating a temperature pattern that excludes the influence of external temperature from the temperature of each component; and
d) A monitoring method of a main circuit breaker including the step of monitoring the possibility of fire occurrence by checking the value of the temperature pattern. According to paragraph 1,
The temperature pattern is,
It is calculated by subtracting the outside temperature from the temperature of each component, or
A monitoring method of a main circuit breaker, characterized in that the temperature ratio of each component to the outside temperature is calculated.