KR102214964B1 - Switchgear with deterioration diagnosis system that eliminates blind spots - Google Patents

Abstract

A switchboard with a deterioration diagnosis system eliminating thermal imaging blind spots comprises: an enclosure installed therein with devices for the switchboard; a thermal imaging camera located at an inner side of the enclosure to acquire thermal images; an elevator for elevating the thermal imaging camera to change a thermal image acquiring section; a controller to acquire thermal images with respect to each of a plurality of up and down divided sections under control of the elevator and the thermal imaging camera; an image connector to connect the thermal images with respect to each section up and down by the thermal imaging camera; a temperature calculator to calculate a temperature of each pixel from the thermal images connected from the image connector; a memory unit to store data necessary to calculate the temperature and the calculation result from the temperature calculator; and a communication unit for performing communication to provide the calculation result from the temperature calculator to a determined terminal or system by the controller. The present invention may change a thermal image acquiring section by moving a thermal imaging camera inside the switchboard. Accordingly, the thermal imaging blind sports are minimized so that the present invention may visibly determine a temperature of a conducting unit, a deterioration degree, an overload state, and poor contact with high reliability based on thermal image analysis data while substantially monitoring the switchboard and a power facility. When failure occurs, the present invention may transmit a warning signal to a nearby worker and a control center through a terminal such as a smart phone.

Description

Switchgear with deterioration diagnosis system that eliminates blind spots

The present invention relates to a switchboard having a deterioration diagnosis system that eliminates a thermal image blind spot, and more particularly, by moving a thermal imaging camera inside the switchboard, it is possible to change the interval for obtaining a thermal image. The present invention relates to a switchgear having a deterioration diagnosis system that eliminates blind spots for thermal images that minimizes blind spots and prevents electrical disasters such as power outages and electric fires due to failure of the switchboards.

In general, large-scale buildings and industrial customers, such as large-scale buildings and industrial customers, because 110V or 220V of commercial power cannot be directly supplied to customers with a large amount of power, so these customers receive a high voltage of 3,300V or 6,600V from the power system and return to the commercial voltage. In particular, large-scale industrial customers need to receive extra high voltage of 22.9kV and convert it back to commercial voltage for use. A switchboard is used as a facility for this. The switchboard is composed of a distribution board, MCC board (Motor Control Center Panel), a low-voltage board, a high-voltage board, a transformer board, and a special high-voltage board.

Such switchgear is a device equipped with various instruments, a main circuit switching device, and a protection relay, which are necessary to supply power from the power system to the customer, and it is a device that always requires stable operation for stable power supply. In addition, due to the recent development of miniaturized and lightweight products, failure and burnout of the switchboard is highly likely to cause electrical disasters due to electric shock and fire due to the nature of the switchboard being installed inside the building, so high safety and operational reliability for the device is highly guaranteed. It is being regarded as important.

Conventionally, in order to measure the temperature of a switchgear or power facility and the degree of deterioration due to aging, a separate temperature measuring device or a thermal imaging camera is used to directly project the temperature to the part to be measured to measure the temperature, and periodically to check the deterioration condition. Since most cases are estimated by measuring and checking the condition of the exterior, there is a problem in that it is not possible to prevent accidents due to deterioration and the soundness of the equipment of the switchgear.

As a conventional technique for improving this, the "distribution panel deterioration prediction system using a thermal imaging camera" of Korean Patent Registration No. 10-0984679 has been proposed, which is a high-voltage device such as a bus bar, circuit breaker, MOF, CT, PT, and transformer. A sensor unit for sensing the temperature of the high-voltage device in the switchgear including; After receiving the temperature measurement signal from the sensor unit, the temperature measurement signal is interconnected through a connected network, and a plurality of computers with preset allowable temperature rise values respectively set; In the switchgear insulation deterioration prediction system including a data processing unit for causing the computer to compare and analyze the temperature measurement value with the reference allowable temperature rise value and display the insulation deterioration state on a screen display of the computer, the sensor unit temperature, deterioration degree, It is a thermal imaging camera that photographs an overload condition in different colors based on thermal detection, and the data processing unit is a thermal imaging camera management unit that controls the shooting angle of the thermal imaging camera and the sensitivity of the captured image, and the image captured by the thermal imaging camera. It is composed of an image analysis unit that calculates the average pixel difference between the heat sensing part and the heat sensing part and the neighboring part in and detects as an abnormal situation only when the difference is greater than or equal to a preset value, and the result data and determination from the data processing unit It includes a server that receives and stores result data, and when there is an abnormality in the switchgear, the server generates an alarm by receiving an alarm signal for an abnormality in the switchboard transmitted by the data processing unit, and the thermal imaging camera is located inside the switchboard. It is installed as a fixed type with a pan tilt function and a movable type that can be moved in a rail method, so it can move between switchboards and remotely control and move to the location of the equipment to be measured to detect heat.

However, such a conventional technique has a problem in that the imaging section is limited inside the switchboard, so that a blind spot of the thermal image is inevitably generated, and thus, has a problem that acts as a limitation to increase the reliability of deterioration diagnosis.

In order to solve the problems of the prior art as described above, the present invention allows the thermal image acquisition section to be variable by moving the thermal imaging camera inside the switchboard, thereby minimizing the blind spot of thermal image acquisition, While monitoring the switchgear and power facilities, it is possible to visually determine the temperature of the energized part, the degree of deterioration, the overload condition, the contact failure, etc. from the thermal image analysis data, and when an abnormal condition occurs, it is possible to determine the surroundings through a terminal such as a smartphone. The purpose is to transmit a warning signal to workers and control centers, thereby preventing failure of the switchgear and reducing maintenance through it, and furthermore, to prevent electrical disasters such as power outages and electric fires caused by switchgear failures in advance. There is this.

Other objects of the present invention will be easily understood through the description of the following embodiments.

In order to achieve the object as described above, according to an aspect of the present invention, an enclosure in which a switchgear device is installed therein; A thermal imaging camera positioned to acquire a thermal image inside the enclosure; An elevator for raising and lowering the thermal image camera to vary a thermal image acquisition section; A control unit configured to acquire a thermal image for each section divided into a plurality of upper and lower sections under the control of the elevator and the thermal imaging camera; An image connector for connecting the thermal images for each of the sections vertically by the thermal imaging camera; A temperature calculator configured to calculate a temperature for each pixel in the thermal image connected by the image connector; A memory unit for storing data required for temperature calculation by the temperature calculation unit and a calculation result; And a communication unit for allowing the control unit to perform communication to provide to a predetermined terminal or system according to a result of the calculation of the temperature calculation unit. A switchboard having a deterioration diagnosis system is provided.

The control unit controls to perform a re-check according to a temperature calculation cycle through a thermal image when a maximum temperature is within a range of a set temperature to a set temperature + 20°C among temperatures calculated by the temperature calculation unit, and the maximum temperature Is within the range of the set temperature +21℃ to the set temperature+40℃, the temperature calculation cycle through thermal imaging is controlled to be shortened by a fixed rate. If the maximum temperature exceeds the set temperature +40℃, it is defective. It is possible to determine and control to provide an alert to the terminal or the system by communication.

The elevator includes a frame provided on a vertical plate such that an upper plate positioned at an upper end and a lower plate positioned at a lower end face each other and spaced apart from each other, and installed perpendicularly to the inside of the enclosure; A lead screw installed vertically so that both ends of the upper plate and the lower plate are rotatable; A ball screw that is screwed to the lead screw and moves up and down by the rotation of the lead screw; An elevating member fixed to the ball screw; An elevating guide slidingly coupled to the elevating member and installed in the frame so as to be parallel to the lead screw; An elevating motor installed on the frame to rotate the leadscrew; A camera position detecting unit provided in a plurality of sensing units provided on the side of the elevating member at intervals along the length direction of the frame; A tilting motor installed such that a rotation axis is perpendicular to the elevating member; And a tilting member fixed to a rotation shaft of the tilting motor, tilted by driving of the tilting motor, and installed with the image camera.

By controlling the operation of the lifting motor and the tilting motor, it is possible to include an image photographed so that some or all of the plurality of vertically arranged thermal images are tilted to the left or right.

An arc sensor that is fixed to the inside of the enclosure or is installed to be elevated by the elevator, and detects an arc occurrence; And machine learning using an artificial neural network to analyze and predict the trend of the pixel temperature value of the thermal image, to determine the presence or absence of an abnormality in the current calculated value, and to predict future availability. Initialization data uses device information, location, device availability, annual average temperature, seasonal wattage, and slope, and learning data includes current pixel-specific temperature measurement, current slope, current wattage, and the arc sensor input from the control unit. A machine learning judgment unit that inputs the measured value of as learning data, the output result represents the number of days available, predicts the life of a predefined device, and inputs the output result again as learning data to learn; Can include.

According to the switchboard having a deterioration diagnosis system that eliminates the blind spot of thermal imaging according to the present invention, by moving the thermal imaging camera inside the switchboard, it is possible to change the section for obtaining a thermal image, thereby minimizing the blind spot of obtaining a thermal image. By doing so, it is possible to determine the high reliability visually from the thermal image analysis data, such as the temperature of the energized part, the degree of deterioration, the overload condition, and the poor contact, while monitoring the power distribution board and power equipment at all times. Through this, warning signals can be transmitted to nearby workers and control centers, thereby preventing failure of the switchboard and reducing maintenance through this, and further preventing electrical disasters such as power outages and electric fires caused by switchboard failures. Has the effect of

1 is an interior view showing a switchgear having a deterioration diagnosis system that eliminates a thermal image blind spot according to an embodiment of the present invention.
2 is a block diagram showing a switchgear having a deterioration diagnosis system that eliminates a blind spot on a thermal image according to an embodiment of the present invention.
3 is a block diagram showing an arc sensor in a switchgear having a deterioration diagnosis system that eliminates a blind spot on a thermal image according to an embodiment of the present invention.
4 is a perspective view illustrating an elevator in a switchgear having a deterioration diagnosis system that eliminates a blind spot on a thermal image according to an embodiment of the present invention.
FIG. 5 is an image for explaining connection of a thermal image acquired in a switchboard having a deterioration diagnosis system that eliminates a thermal image blind spot according to an embodiment of the present invention.
6 is a view for explaining data processing of a thermal image acquired in a switchboard having a deterioration diagnosis system that eliminates a thermal image blind spot according to an embodiment of the present invention.
7 shows an example of the structure of an LSTM neural network among circulatory neural networks by a machine learning judgment unit of a switchboard having a deterioration diagnosis system that eliminates a thermal blind spot according to an embodiment of the present invention.
8 is a sample distribution of sensor values in a switchboard having a deterioration diagnosis system that eliminates thermal blind spots according to an exemplary embodiment of the present invention, and outputs them to a two-dimensional graph.

In the present invention, various changes may be made and various embodiments may be provided, and specific embodiments will be illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to a specific embodiment, and should be understood in a way that includes all changes, equivalents, or substitutes included in the technical spirit and scope of the present invention, and may be modified in various other forms. It can be, and the scope of the present invention is not limited to the following examples.

Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings, and the same reference numerals are assigned to the same or corresponding components regardless of the reference numerals, and redundant descriptions thereof will be omitted.

1 is an interior view showing a switchboard having a deterioration diagnosis system that eliminates thermal blind spots according to an embodiment of the present invention, and FIG. 2 is a deterioration diagnosis system that eliminates thermal blind spots according to an embodiment of the present invention. It is a configuration diagram showing a switchgear having a.

1 and 2, the switchboard 100 having a deterioration diagnosis system that eliminates a thermal image blind spot according to an embodiment of the present invention includes an enclosure 110, a thermal imaging camera 120, an elevator 130, It may include a control unit 140, an image connector 150, a temperature calculation unit 160, a memory unit 210, and a communication unit 250.

The enclosure 110 has devices 111 and 112 for switchgear installed inside.These devices 111 and 112 include a distribution board, an MCC board (Motor Control Center Panel), a low-voltage board, a high-voltage board, a transformer board, and a special high-voltage board, as well as power. It may include various instruments, main circuit switching devices, and protection relays required to supply power from the system to the customer.

The thermal imaging camera 120 is positioned to acquire a thermal image on the inside of the enclosure 110, and is installed to lift from the inside of the enclosure 110 by an elevator 130 to be described later.

Referring to FIGS. 1 and 4, the elevator 130 raises and lowers the thermal image camera 120 to vary the thermal image acquisition section. The elevator 130 is a frame 131, a lead screw 132, a ball screw 133, an elevating member 134, an elevating guide 135, an elevating motor 136, a camera position sensing unit 137, a tilting motor It may include (138) and a tilting member (139).

The frame 131 may be provided on the vertical plate 131c so that the upper plate 131a positioned at the top and the lower plate 131b positioned at the lower end face each other and are spaced apart from each other, and are installed perpendicularly to the inside of the enclosure 200 Can be. The frame 131 may be fixed to the inside of the enclosure 200 by a coupling structure such as a bolting, bracket, or fitting method such as the vertical plate 131c.

The leadscrew 132 may be vertically installed on the upper plate 131a and the lower plate 131b so that both ends thereof are rotatable. The leadscrew 132 may be installed at both ends of the upper plate 131a and the lower plate 131b via bearings to minimize friction during rotation.

The ball screw 133 is screwed to the lead screw 132 and may be installed to move up and down by the rotation of the lead screw 132.

The elevating member 134 may be fixed to the ball screw 133. The elevating member 134 may be formed of a plate-like member, for example, as in this embodiment, and the ball screw 133 may be fixed on one side by bolting or bracket, or may be buried so as to be exposed to the inside.

The lifting guide 135 may be slidingly coupled to the lifting member 134 and installed on the frame 131 so as to be parallel to the leadscrew 132. The elevating guide 135 is a linear member that is specifically slidably coupled to the sliding coupling portion 134a provided on the elevating member 134 and may be fixed to one side of the vertical member 131c with bolts or brackets.

The lifting motor 136 may be installed on the frame 131 to rotate the leadscrew 132. The elevating motor 136 may be fixed vertically to the lower plate 131b by, for example, a bracket 136a, and the rotation shaft may be directly connected to the lead screw 132 as in this embodiment, or a reducer or a plurality of gears or chains and sprockets It is also possible to provide rotational force to the leadscrew 132 by using or the like. The lifting motor 136 may be formed of a servo motor or a step motor to control the amount of rotation.

The camera position detecting unit 137 may be provided with a plurality of detecting units 137b for detecting the sensing pieces 137a provided on the side of the lifting member 134 at intervals along the length direction of the frame 131. . Here, the sensing unit 137b is, for example, a switch type that performs sensing by contact, or consists of a light-emitting element and a light-receiving element that are installed opposite to each other on both sides of the sensing piece 137a as in this embodiment. Detection may be performed according to whether the output light is received by the light receiving device. Therefore, the controller 140 determines the vertical position of the thermal imaging camera 120 through the camera position detection unit 137, and controls the height of the thermal imaging camera 120 to obtain each section-specific thermal image through this. I can. For example, the controller 140 may acquire a thermal image in a state in which the thermal imaging camera 120 is stopped whenever the location of the thermal imaging camera 120 is detected through the camera position detecting unit 137.

The tilting motor 138 may be installed such that a rotation axis is perpendicular to the elevating member 134. The tilting motor 138 may be fixed to the elevating member 134 by, for example, a bracket 138a, and the rotation shaft is directly connected to the tilting member 139 as in this embodiment, or a reducer or a plurality of gears or chains and sprockets, etc. It is also possible to provide rotational force to the tilting member 139 by using. The tilting motor 138 may be formed of a servo motor or a step motor to control the amount of rotation.

The tilting member 139 is fixed to the rotating shaft of the tilting motor 138 and tilted by driving the tilting motor 138, and a thermal imaging camera 120 may be installed. The tilting member 139 may be fixed to the rotation shaft of the tilting motor 138 by the shaft fixing part 139a. The tilting member 139 may have, for example, a housing structure to provide a space for the thermal imaging camera 120 to be accommodated therein. In this case, an opening is formed to connect to the outside air for photographing the thermal imaging camera 120 Can be. Meanwhile, an arc sensor 190 may be installed in the tilting member 139 to detect arcing by being connected to outside air through a slit or a through hole. Accordingly, the arc sensor 190 may vary the arc generation detection section by the elevator 130, thereby eliminating a blind spot for detection of the arc generation.

Referring to FIG. 2, the controller 140 acquires a thermal image for each section divided into a plurality of top and bottom under the control of the elevator 130 and the thermal imager 120, and acquires such a thermal image and calculates the temperature. The control can be performed at a predetermined period, wherein the predetermined period may be between 1 and 100 minutes or other various time intervals depending on the size, structure, characteristics, and installation location of the switchgear 100. On the other hand, when the maximum temperature is within the range of the set temperature to the set temperature + 20°C among the temperatures calculated by the temperature calculation unit 160 to be described later, the controller 140 performs a re-check according to the temperature calculation cycle through the thermal image. When the maximum temperature is within the range of the set temperature +21℃ to the set temperature+40℃, the temperature calculation cycle through thermal imaging is reduced to a set ratio, for example, 20~80% for the set temperature calculation cycle. When the maximum temperature exceeds the set temperature +40°C, it is determined as a defect and can be controlled to provide an alarm to the terminal or system through communication.

The control unit 140 takes a picture so that some or all of the vertically arranged thermal images are tilted to the left or the right by controlling the operation of the lifting motor 136 and the tilting motor 138 as predetermined as needed. The resulting image is included, and thus, it is possible to easily respond to cases where the monitoring area of heat is not a vertical 2D arrangement but a vertical and left and right 3D arrangement, thereby obtaining a thermal image of the heating monitoring area arranged in 3D Can be made possible. In this case, it goes without saying that the image connector 150 may connect the thermal images arranged in three dimensions in a three-dimensional manner to correspond thereto.

The image connector 150 connects the thermal images for each section vertically by the thermal imaging camera 120. In FIG. 5, when the upper and lower sections are divided into three, the connection of thermal images is shown. The image connector 150 determines the upper and lower position information of the thermal image by setting the position information of the thermal imaging camera 120 to the control unit 140 or the camera position detecting unit 137 or a preset count of the number of shots. Arrange and connect the images so that they correspond to the actual shooting area.

The temperature calculation unit 160 divides the thermal image connected by the image connector 150 into a plurality of pixels, and calculates a temperature for each of the divided pixels. The temperature calculation for each pixel of the thermal image is performed by the memory unit 210 ), the temperature of each pixel can be calculated based on the image data between the color and temperature defined in advance. The temperature calculator 160 may represent this as a score according to the temperature calculation for each pixel of the thermal image.

The memory unit 210 may store data and calculation results required for temperature calculation by the temperature calculation unit 160, and store various data and programs necessary for operation, and the control unit 140 and the temperature calculation unit 160 Etc. can provide the requested data.

The communication unit 250 allows the control unit 140 to perform communication to provide to a predetermined terminal or system according to the calculation result of the temperature calculation unit 150. The communication unit 250 may apply various wireless or wired communication methods, including Wi-Fi, 3G, LTE, and 5G, for communication with an external device. Here, the external device may be a terminal such as an administrator or a user having management authority for the switchboard 10, or a control system in charge of managing the switchboard 100, and the terminal can control data or a specific process by the operation of an application or program. In addition to performing wireless or wired communication, information processing and communication devices such as a smartphone, a tablet PC, a notebook computer, or a PC may be used. On the other hand, the terminal or system may need to install and run an application or program that performs a function for receiving a service according to the present invention.

The switchboard 100 having a deterioration diagnosis system that eliminates thermal blind spots according to an embodiment of the present invention includes a power supply unit 220 for receiving and supplying power required for operation from the outside, and for inputting data or commands. It may further include an input unit 230 composed of a keyboard, a touch panel, a button, or a switch, and a display unit 240 for displaying operation states and data, and further, fixed to the inside of the enclosure 110, or An arc sensor 190 that is installed to be elevated by the elevator 130 and detects the occurrence of an arc, and a model that analyzes and predicts the trend of the pixel temperature value of the thermal image using machine learning using an artificial neural network is constructed. , It may further include a machine learning determination unit 180 to determine the presence or absence of an abnormality with respect to the current calculated value and predict future availability performance.

2 and 3, the arc sensor 190 is installed inside the enclosure 110, to detect the occurrence of the arc. The arc sensor 190 may be made of, for example, a UV arc sensor. For this purpose, as an example, a constant voltage unit 191 for maintaining a constant voltage by operating power supplied from the outside and a constant voltage maintained by the constant voltage unit 191 A high-voltage DC-DC converter 192 that converts into a voltage required for operation, a UV sensor 193 that generates a signal for UV, and a signal processing circuit that processes and outputs the signal output from the UV sensor 193 (194) may be included. The arc sensor 190 enables, for example, a UV region to measure 185 to 260 nm, and can measure an arc of 5 mm or more at a sensing distance of 3 m apart, and a pulse having an amplitude is normally output, and when an arc occurs, the UV sensor 193 Is conducted to generate an output with no amplitude, so that the occurrence of an arc can be detected.

The machine learning judgment unit 180 analyzes the trend of the pixel temperature value of the thermal image using machine learning using an artificial neural network and constructs a predicting model, determines whether there is an abnormality in the current calculated value, and is available in the future. The performance is predicted, but the initialization data uses the device information for each zone, the location, the availability capability of the device, the annual average temperature, the amount of power by season, and the slope. The measured value of the received arc sensor 190 is input as learning data, the output result represents the number of available days, predicts the life of a predefined device, and inputs the output result again as learning data to learn. .

The temperature calculator 160 may numerically convert a change value according to a temperature change for each pixel of the thermal image obtained from the thermal imaging camera 120 and store the change trend according to the temperature in the memory unit 210. The stored digitized data is compared with a pre-defined set temperature, that is, a value within the available temperature, and when it reaches a range outside the value within the available temperature, the control unit 140 functions to generate an event, and the digitized data will be described later. It may be used as an input value of an artificial neural network in the machine learning determination unit 180 to be performed. The machine learning determination unit 180 may determine the shape of the heat source according to the temperature of each pixel of the thermal image acquired from the thermal imaging camera 120. In addition, by learning the boundary between the heat source and the non-heat source by the machine learning determination unit 180, it is possible to classify the shape based on the heat source. The machine learning determination unit 180 may define a location of a device based on an initial two-dimensional coordinate system for more detailed accuracy, and synchronize the pixel arrangement of the thermal image with the coordinates of the device to complete a shape. In addition, when values between 6 and 9 are clustered based on data for each pixel, they have a clustering form as shown in FIG. 6. Therefore, if only the shapes clustered by the machine learning determination unit 180 are classified, the basic shape of the heat source can be defined. Values from 0 to 5 are considered as emission to the heat source and can be excluded from clustering. The advantage that can be derived during monitoring of the overall shape based on the cluster shape makes it easy to identify the cluster shape and singularity of other points. During learning of peacetime pixel data, if an unusual pixel appears in addition to the cluster form, the influence of the relay and device in the corresponding part can be easily derived

In addition, the machine learning judgment unit 180 constructs a model that analyzes and predicts the trend of sensor observation values using machine learning using an artificial neural network, determines whether there is an abnormality in the current observation value, and predicts future availability. . In machine learning, a basic neural network structure may use Long-Short Term Memory (LSTM) among RNNs, as shown in FIG. 7. In order to determine whether an electric or electronic device is abnormal, previous histories other than the current state have a major influence on grasping the current state. Previous trends such as temperature, slope, and amount of electricity are stored and used as an input with the current value, so that failure prediction can be more accurate. For this reason, LSTM is used. Initialization data uses device information, location, device availability, annual average temperature, seasonal wattage, and slope for each zone, and learning data includes current pixel-by-pixel temperature measurement, current slope, current wattage, arc received from the control unit 140 The value of the sensor 190 may be input as learning data. The output result represents the number of available days, and the lifespan of a predefined device can be predicted, and the output result can be input again as learning data to be learned. In the LSTM neural network, all previous node values are used when calculating the node values of the hidden layer. The node value is calculated by Equation 1 below.

Since the state of the hidden layer is updated by the above equation, it is possible to detect a pattern change in the time series data. In addition, the LSTM skips a structure that considers the memory even the state value of the previous hidden layer. Initial input data is clustered and arranged to be stored and learned. Initialization data is given as a default value for setting the boundary point of the clustered data, and results such as normal, abnormal, and replacement need can be predicted based on the width of the boundary of the economic point. In FIG. 8, the sensor values are sampled and output on a two-dimensional graph, and it can be seen that sensor values form a constant cluster. Accordingly, the singularity of the clustered data is analyzed and learned. Initialization data designates the boundary range of the normal range, and other ranges can be determined by abnormality or inspection.

According to the switchboard having a deterioration diagnosis system that eliminates the blind spot of thermal imaging according to the present invention, by moving the thermal imaging camera inside the switchboard, it is possible to change the section for obtaining a thermal image, and thereby, a blind spot for obtaining a thermal image. By minimizing, it is possible to determine the high reliability visually from the thermal image analysis data, such as the temperature of the energized part, the degree of deterioration, the overload condition, and poor contact, while monitoring the power supply and distribution board and power equipment at all times. It is possible to transmit a warning signal to nearby workers and control centers through the terminal of the switchboard, thereby preventing failure of the switchgear and reducing maintenance through this, and furthermore, electrical disasters such as power outages and electric fires caused by switchgear failures can be prevented in advance. It has a preventive effect.

As described above, the present invention has been described with reference to the accompanying drawings, but, of course, various modifications and variations can be made without departing from the technical spirit of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by the claims and equivalents as well as the claims to be described later.

110: enclosure 111,112: device
120: thermal imaging camera 130: elevator
131: frame 131a: top plate
131b: lower plate 131c: vertical plate
132: lead screw 133: ball screw
134: lifting member 135: lifting guide
136: elevating motor 136a: bracket
137: camera position detection unit 137a: detection piece
137b: sensing unit 138: tilting motor
138a: bracket 139: tilting member
139a: axis fixing government 140: control unit
150: image connection unit 160: temperature calculation unit
170: heat source shape extraction unit 180: machine learning judgment unit
190: arc sensor 191: constant voltage part
192: high voltage DC-DC converter 193: UV sensor
194: signal processing circuit 210: memory unit
220: power supply unit 230: input unit
240: display unit 250: communication unit

Claims (5)

An enclosure in which a switchgear device is installed inside;
A thermal imaging camera positioned to acquire a thermal image inside the enclosure;
An elevator for raising and lowering the thermal image camera to vary a thermal image acquisition section;
A control unit configured to acquire a thermal image for each section divided into a plurality of upper and lower sections under the control of the elevator and the thermal imaging camera;
An image connection unit connecting the thermal images for each of the sections vertically by the thermal imaging camera;
A temperature calculator configured to calculate a temperature for each pixel in the thermal image connected by the image connector;
A memory unit for storing data required for temperature calculation by the temperature calculation unit and a calculation result;
A communication unit configured to allow the control unit to perform communication to provide to a predetermined terminal or system according to the calculation result of the temperature calculation unit;
An arc sensor fixed to the inside of the enclosure or installed to be raised and lowered by the elevator, and detecting an arc occurrence; And
Using machine learning using an artificial neural network, the trend of the pixel temperature value of the thermal image is analyzed and a prediction model is constructed to determine whether there is an abnormality in the current calculated value, and to predict the future availability, but initialize The data uses the device information for each zone, the location, the availability of the device, the annual average temperature, the seasonal wattage, and the slope, and the learning data is the current temperature measurement value for each pixel, the current slope, the current wattage, and the arc sensor input from the controller. A machine learning judgment unit that inputs the measured value as learning data, the output result represents the number of days available, predicts the life of a predefined device, and inputs the output result again as learning data to learn;
Including,
The elevator,
A frame provided on a vertical plate such that an upper plate positioned at an upper end and a lower plate positioned at a lower end face each other and spaced apart from each other, and installed perpendicularly to the inner side of the enclosure;
A lead screw installed vertically so that both ends of the upper plate and the lower plate are rotatable;
A ball screw that is screwed to the lead screw and moves up and down by the rotation of the lead screw;
An elevating member fixed to the ball screw;
An elevating guide slidingly coupled to the elevating member and installed in the frame so as to be parallel to the lead screw;
An elevating motor installed on the frame to rotate the leadscrew;
A camera position detecting unit provided in a plurality of sensing units provided on the side of the elevating member at intervals along the length direction of the frame;
A tilting motor installed such that a rotation axis is perpendicular to the elevating member; And
A tilting member fixed to a rotation shaft of the tilting motor, tilted by driving of the tilting motor, and installed with the thermal imager;
Including,
The control unit,
By controlling the operation of the lifting motor and the tilting motor, it is characterized in that it includes an image photographed so that some or all of the plurality of vertically arranged thermal images are tilted to the left or right. Switchgear with deterioration diagnosis system. The method according to claim 1,
The control unit,
If the maximum temperature is within the range of the set temperature to the set temperature + 20°C among the temperatures calculated by the temperature calculation unit, the temperature is controlled to perform re-check according to the temperature calculation cycle through thermal images, and the maximum temperature is set temperature + If the temperature is within the range of 21℃ to +40℃, the temperature calculation cycle through thermal imaging is controlled to be shortened by a fixed rate. If the maximum temperature exceeds the set temperature +40℃, it is determined as a defect and A switchgear having a deterioration diagnosis system that eliminates a blind spot for thermal imaging, controlling to provide an alarm to the terminal or the system. delete delete delete

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