Switchgear (high-voltage panel, low-voltage panel, distribution panel, and motor control center) having abnormality diagnosis method and system

Abstract

The present invention provides a switchgear (a high-voltage panel, a low-voltage panel, a distribution panel, and a motor control center) having an abnormality diagnosis method and system. The present invention relates to a system for diagnosing the presence or absence of an abnormality in a switchgear by monitoring and analyzing, in real time, a state information (including mimic bus information) providing unit disposed in the switchgear. The system comprises: a camera for capturing a state information display unit; and a controller including an extraction unit and a preventive diagnosis unit, wherein the extraction unit extracts state information from image or video data acquired from the camera and recognizes text and numerical data of the state information by using an image (including a mimic bus image) processing algorithm, and the preventive diagnosis unit diagnoses the presence or absence of an abnormality in the switchgear by comparing the extracted state information data with reference data, and when the switchgear has an abnormality, grades the degree of the abnormality and establishes an action plan according to the grading. Accordingly, safety of power supply can be secured and efficiency can be maximized through real-time monitoring of the switchgear and early detection of abnormality signs.

Description

Switchgear (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis method and system

[0001] The present invention relates to a switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel; hereinafter referred to as a switchboard) equipped with a method and system for diagnosing abnormalities, and in particular, to diagnose the presence or absence of abnormalities in the switchboard by monitoring and analyzing in real time a status information providing unit (including simulated busbar information displayed outside the switchboard, hereinafter the same) installed in the switchboard.

[0002] The status information display unit includes status data from the simulated busbar and displays the status using LEDs of various colors based on the electrical and temperature conditions inside the switchgear. The color of this simulated busbar changes based on real-time status information, allowing users to intuitively recognize the current status. The color changes of the simulated busbar help users easily identify the status of the switchgear and induce an immediate response in the event of an abnormal condition. Through this visual display function, the system clearly conveys the status of the switchgear, thereby raising awareness of emergency situations.

[0003] More specifically, the present invention relates to a technology for diagnosing abnormalities in a power distribution panel by monitoring and analyzing status information display units placed inside and outside the power distribution panel in real time. The system includes a camera capable of reliably capturing high-resolution images (including simulated busbar images; hereinafter the same) and a controller that diagnoses abnormal operation based on extracted image data, and is equipped with the function to establish an action plan and execute automatic emergency measures when an abnormality is detected.

[0004] Generally, switchgear monitoring systems are technologies developed to monitor the status of switchgear in real time and diagnose abnormalities, contributing to the enhancement of the safety and reliability of power systems. Traditional switchgear management methods relied on manual labor for periodic inspections; however, this approach has drawbacks, such as the possibility of inspections being missed due to staffing shortages or negligence, and the difficulty of detecting signs of abnormalities early.

[0005] Furthermore, existing switchgear monitoring systems primarily operated in a passive manner and had limitations in supporting real-time data analysis and decision-making. As a result, system operators frequently found themselves in situations where they had no choice but to respond only after a problem occurred, which increased operating costs and the risk of accidents.

[0006] Recently, with the advancement of artificial intelligence and image processing technologies, there is an increasing need for systems capable of automatically analyzing the status information of switchgear and detecting abnormal signs in real time. In particular, it is essential to utilize high-resolution cameras that can acquire stable images even under various lighting conditions. These technologies can play a crucial role in accurately identifying status information, as well as in establishing predictive maintenance and rapid response measures.

[0007] Consequently, the present invention aims to provide an innovative solution that satisfies these technical requirements, ensures the stability of power supply through real-time monitoring of switchgear and early detection of abnormal signs, and maximizes efficiency.

[0008] [Prior Art Literature]

[0009] [Patent Literature]

[0010] Korean Registered Patent Publication No. 10-2300611

[0011] The first objective of the present invention is to provide a system for diagnosing abnormalities in a power distribution panel and a method for diagnosing the same, which can ensure the safety of power supply and maximize efficiency through real-time monitoring of the power distribution panel and early detection of abnormal signs.

[0012] The second objective of the present invention is to provide a switchboard abnormality diagnosis system and a diagnosis method that can accurately diagnose whether a switchboard is abnormal through real-time monitoring and analysis of a status information providing unit installed in the switchboard.

[0013] The third objective of the present invention is to provide a system for diagnosing abnormalities in a power distribution panel and a method for diagnosing the same, which enhances safety and enables efficient response by executing emergency measures in the event of the highest risk level.

[0014] A system for diagnosing abnormalities in a switchboard according to one embodiment of the present invention includes: a camera for photographing a status information providing unit installed in a switchboard in real time, and a controller comprising: an extraction unit that extracts status information from image data (including a simulated busbar; hereinafter the same) or video data acquired from the camera and recognizes text and numeric data of the status information using an image processing algorithm, and a comparison judgment unit that diagnoses whether there is an abnormality in the switchboard by comparing the extracted status information data with reference data, and if there is an abnormality in the switchboard, classifies the degree of abnormality, establishes an action plan based on the classification, and transmits it to an administrator terminal.

[0015] The above controller further includes a first storage unit for storing data of extracted status information (including simulated busbar information; hereinafter the same); and a second storage unit for storing reference data for diagnosing whether there is an abnormality in the switchgear; and the reference data can be changed by administrator input.

[0016] The above-mentioned comparison judgment unit executes emergency measures when the abnormality in the above-mentioned switchgear is at the highest risk level.

[0017] A method for diagnosing abnormalities in a switchboard according to one embodiment of the present invention, which involves monitoring and analyzing a status information providing unit placed in the switchboard in real time to diagnose abnormalities in the switchboard, comprises: a step of photographing the status information providing unit using a camera; a step of a controller extracting status information from image or video data acquired from the camera; a step of the controller recognizing text and numeric data of the status information using an image processing algorithm; a step of the controller diagnosing abnormalities in the switchboard by comparing the extracted status information data with reference data; and, if there is an abnormality in the switchboard, a step of the controller classifying the degree of abnormality and establishing an action plan based on the classification and transmitting it to an administrator terminal.

[0018] The reference data in the second storage unit is designed to allow for automatic or manual modification according to user needs, supporting flexible operation. In addition, after comparing the extracted data with the reference data for anomaly diagnosis, anomalies are detected and their severity is graded to establish an action plan. This process plays a crucial role in risk management and decision-making.

[0019] The above controller further includes the step of storing data of extracted status information; and the step of storing reference data for diagnosing whether there is an abnormality in the switchgear; and the reference data can be changed by administrator input.

[0020] A method for diagnosing abnormalities in a switchboard according to one embodiment of the present invention includes a step in which the controller executes emergency measures when the abnormality in the switchboard is at the highest risk level.

[0021] According to the present invention, the safety of power supply can be secured and efficiency maximized through real-time monitoring of the power distribution panel and early detection of abnormal signs.

[0022] According to the present invention, the abnormality of a switchboard can be accurately diagnosed through real-time monitoring and analysis of a status information providing unit installed in the switchboard.

[0023] According to the present invention, safety and efficiency can be significantly improved by providing users with early warnings and appropriate action plans in the event of an anomaly, and in particular, by automatically executing emergency measures at the highest risk level, it can contribute to disaster prevention and damage minimization.

[0024] FIG. 1 is a block diagram showing the configuration of a system for diagnosing abnormalities in a switchboard according to one embodiment of the present invention.

[0025] Figure 2 is a block diagram showing the configuration of the controller of Figure 1.

[0026] FIG. 3 is a diagram showing the details of the abnormality according to the grade when there is an abnormality in a switchboard according to one embodiment of the present invention.

[0027] FIG. 4 is a block diagram showing the transmission of a diagnosis result to an administrator terminal, a server, and a control center from a comparison judgment unit according to an embodiment of the present invention.

[0028] FIG. 5 is a screen of an administrator terminal when a notification is made according to an embodiment of the present invention.

[0029] FIG. 6 is a flowchart of a method for diagnosing abnormalities in a power distribution panel according to one embodiment of the present invention.

[0030] FIG. 7 is an embodiment of a status information providing unit placed outside a switchboard according to the present invention.

[0031] The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described below in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but can be implemented in various different forms. The embodiments are provided merely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims.

[0032] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0033] FIG. 1 is a block diagram showing the configuration of a system for diagnosing whether there is an abnormality in a power distribution panel according to an embodiment of the present invention, and FIG. 2 is a block diagram showing the configuration of the controller of FIG. 1. FIG. 3 is a diagram showing the abnormality details according to the grade when there is an abnormality in a power distribution panel according to an embodiment of the present invention, and FIG. 4 is a block diagram showing the transmission of a diagnosis result from a comparison judgment unit to an administrator terminal, a server, and a control center (30) according to an embodiment of the present invention. FIG. 5 is a screen of an administrator terminal when a notification is made according to an embodiment of the present invention.

[0034] Referring to FIGS. 1 to 4, a power distribution board abnormality diagnosis system (1000) according to one embodiment of the present invention diagnoses whether there is an abnormality in the power distribution board by monitoring and analyzing a status information providing unit placed in the power distribution board in real time, and may include a camera (100) and a controller (200).

[0035] The camera (100) captures the status information display unit and is installed at a specific location. The camera (100) has the ability to capture high-resolution images and provides high-quality images using a specific lens and sensor.

[0036] Multiple lenses enable image capture optimized for each lighting condition, thereby providing stable images even under changes in the external environment.

[0037] The camera (100) can provide stable images under various lighting conditions depending on the situation, and can secure clear images even in low-light environments or environments with strong light. The images thus secured are processed by the controller (200) and converted into data necessary to diagnose whether there is an abnormality in the power distribution panel. The camera (100) can quickly detect signs of abnormality through continuous real-time monitoring.

[0038] The image captured by the camera (100) is used by the controller (200) to analyze state information. Various correction algorithms are applied to increase the accuracy of image recognition, which plays an important role in ensuring the reliability of the system. The performance is optimized to be suitable for various cases by testing the shooting performance in various environments.

[0039] The camera (100) is positioned so that its installation location is considered to maximize the visibility of the status information display unit. This positioning contributes to increasing the accuracy of detecting abnormal signs and provides a basis for the system to operate more efficiently. Each camera (100) is interconnected and designed to minimize delay during data transmission.

[0040] In this way, the camera (100) emphasizes the key role of the camera (100) within the power distribution panel abnormality diagnosis system and can contribute to improving the overall performance of the system based on high resolution and lighting conditions.

[0041] The above controller (200) may include an extraction unit (210), a comparison diagnosis unit (220), a first storage unit (230), and a second storage unit (240).

[0042] The controller (200) performs a state information extraction operation based on images, numbers, characters, color information, and video data acquired from a camera. The state information is accurately recognized in the form of text and numbers through an image processing algorithm. The extracted information is stored in a first storage unit, and reference data for diagnosing the normal and abnormal states of the switchboard is stored in a second storage unit. If the reference data is changed by a user, the system provides a function to reflect this automatically or manually. Through this, the user can adjust the system to suit various operating environments.

[0043] The extraction unit (210) extracts state information from image or video data obtained from the camera (100) and recognizes text and numeric data, color information, etc. of the state information using an image processing algorithm. The extraction unit (210) can ensure highly reliable information extraction by using an algorithm that applies the latest machine learning and deep learning technologies. For example, the extraction unit (210) is designed to implement a machine learning algorithm to more precisely diagnose the presence or absence of anomalies based on state information and anomaly history collected in the past, and to establish an action plan.

[0044] Machine learning is a field of artificial intelligence within computer science that has evolved from research in pattern recognition and computer learning theory. It can be defined as a technology that studies and builds systems and algorithms capable of learning, making predictions, and improving their own performance based on empirical data. Rather than executing strictly defined, static program commands, machine learning algorithms adopt an approach of constructing specific models to derive predictions or decisions based on input data.

[0045] Deep learning is a field of machine learning that involves research on representing data in computer-processable forms, such as vectors or graphs, and building models to learn from them. For specific learning objectives, such as recognizing faces or facial expressions, deep learning focuses on better representation methods for learning and building efficient models. Many of deep learning's representation methods are inspired by neuroscience and are based on the information processing or communication patterns of neural systems.

[0046] Extracted text and numeric data, color information, etc., are classified and stored in the first storage unit, and this data and information are used as a standard for diagnosing abnormal operation. Information extracted from images is stored quickly, and based on this, the subsequent diagnostic process proceeds smoothly. In addition, the extraction unit is configured to be adjustable according to user needs.

[0047] The extraction unit (210) analyzes status information from the acquired image in real time, and a multi-layered verification step is smoothly performed to minimize errors that may occur during the processing. An optimized data processing routine is operated for accurate recognition of status information, and the safety of the data is continuously monitored. As a result, the system can achieve high performance in diagnosing abnormal operation of the power distribution panel. The extraction unit (210) is configured to be adjustable according to the needs of the manager.

[0048] As such, the image processing algorithm is one of the core technologies of the switchgear abnormality diagnosis system and serves as an essential element in enhancing the accuracy and reliability of the system.

[0049] The second storage unit performs the function of storing reference data for diagnosing abnormalities in the switchgear, and provides the flexibility to handle changes to the diagnosis criteria by the user in both automatic and manual ways. This function contributes to maximizing the operational efficiency of the system for the user.

[0050] Data in the second storage unit serves as important reference material during the subsequent diagnosis of abnormalities, and a stable data management system is in place. Information regarding reference data is periodically backed up and encrypted, and measures are being taken to prevent data loss or alteration.

[0051] If a user wishes to change diagnostic criteria, data and information can be easily updated through the interface. This process is designed with system accessibility and user-friendliness in mind and includes an automatic update function. Changes to standard data and information are reflected immediately, allowing for rapid adjustment of the system's diagnostic criteria.

[0052] The comparison diagnostic unit (220) compares the extracted status information data and information with the reference data and information to diagnose whether there is an abnormality in the power distribution panel, and if there is an abnormality in the power distribution panel, it grades the degree of abnormality and establishes an action plan based on the grade and transmits it to the administrator terminal (10) via wired or wireless communication. The action plan transmitted to the administrator terminal (10) based on the graded information serves as a guideline for immediate response.

[0053] The comparison judgment unit (220) for diagnosing abnormalities is responsible for comparing the extracted data and information with the stored reference data and information. When an abnormality is detected, the comparison judgment unit grades the degree of the abnormal signs and performs the function of establishing an action plan according to the grade. The action plan provided to the user based on the graded information serves as a guideline for immediate response. When an abnormal situation occurs, the diagnosis results are communicated to the user terminal, server, control center, etc., to facilitate information sharing.

[0054] The Preparedness Assessment Unit maintains basic diagnostic algorithms to select necessary measures in emergencies while possessing the capability to respond flexibly to changing situations. This enables comprehensive pre-preparation and allows for immediate notification to user terminals or the control center.

[0055] The administrator terminal (10) is carried by the administrator and may include a smartphone or tablet PC.

[0056] When there is an abnormality in the switchgear, the degree of abnormality is classified into grades as shown in the example of FIG. 3. As shown in FIG. 3, fire, power outage, equipment failure, and overcurrent can be classified into grades A, B, C, and D, respectively. They can also be classified into warning stage, alarm stage, emergency action stage, etc.

[0057] The diagnostic unit (220) facilitates information sharing by transmitting diagnostic results via wired or wireless communication to the server (20) and control center (30) in addition to the administrator terminal (10) when an abnormal situation occurs. This information serves as the basis for rapid decision-making regarding the abnormal situation.

[0058] The emergency diagnostic unit (220) automatically executes emergency measures when there is an abnormality in the power distribution panel and the highest level of danger is reached. Through this, a safety net is established to minimize damage to human life and property, and due to the characteristics of this system, each component operates in conjunction with one another and is designed to increase the efficiency of monitoring.

[0059] The preparedness diagnostic unit (220) maintains a basic diagnostic algorithm to select necessary measures in case of emergency, while also having the ability to respond flexibly to changes in the situation. Through this, comprehensive advance preparation is achieved, and immediate notification is possible to the administrator terminal (10), server (20), and control center (30).

[0060] When a notification is made to the administrator terminal (10), as shown in FIG. 5, the content "AAA, an overcurrent occurred at the power distribution panel at point A at 7:46 PM on November 5, 2024. Please take prompt action." is displayed on the screen. Or, the content "AAA, a suspected fire was confirmed at point B at 7:50 PM on November 5, 2024. Please dispatch immediately." may be conveyed.

[0061] In this way, the system can accurately diagnose whether there is an abnormality in the switchgear and suggest countermeasures in real time.

[0062] The first storage unit (230) stores data and information of the extracted state information. The stored data of the state information is used as a standard for diagnosing whether there is an abnormality. Information extracted from the image is stored quickly, and based on this, the subsequent diagnosis process proceeds smoothly.

[0063] The second storage unit (240) stores reference data and information for diagnosing whether there is an abnormality in the power distribution panel. Here, the reference data can be changed automatically or manually by administrator input.

[0064] If an administrator wishes to change the diagnostic criteria, they can easily update the data through the interface. This process was designed with the system's accessibility and administrator-friendliness in mind and includes an automatic update function. Changes to the standard data are reflected immediately, allowing for rapid adjustment of the system's diagnostic criteria.

[0065] As such, this system emphasizes flexibility and administrator-customized features, presenting a solution for managing advanced data that complements the shortcomings of existing systems.

[0066] Through this, administrators can adjust the system to suit various operating environments.

[0067] FIG. 6 is a flowchart of a method for diagnosing abnormalities in a power distribution panel according to one embodiment of the present invention.

[0068] Referring to FIG. 6, the method for diagnosing whether there is an abnormality in a switchboard may include S610 to S650 for diagnosing whether there is an abnormality in the switchboard by monitoring and analyzing a status information providing unit placed in the switchboard in real time.

[0069] First, the status information display unit is photographed using a camera (100) (S610).

[0070] After S610, the controller (200) extracts state information from image or video data and information obtained from the camera (100) (S620).

[0071] After S620, the controller (200) recognizes text and numeric data and color information of the state information using an image processing algorithm (S630).

[0072] After S630, the controller (200) compares the extracted status information data and information with the reference data and information to diagnose whether there is an abnormality in the switchgear (S640).

[0073] In S640, if there is an abnormality in the power distribution panel, the controller (200) grades the degree of abnormality and establishes an action plan based on the grade and transmits it to the administrator terminal (10) (S650). If the abnormality in the power distribution panel is at the highest risk level, the controller (200) may include a step of executing emergency measures.

[0074] However, in S640, if there is no abnormality in the switchgear, S610 is performed.

[0075] Meanwhile, after the above S620, the controller (200) may further include a step of storing the extracted state information data.

[0076] Additionally, the controller (200) can store reference data and information for diagnosing whether there is an abnormality in the switchgear. Here, the reference data and information can be changed by administrator input.

[0077] Meanwhile, although the presence or absence of abnormalities in the switchgear was diagnosed through images or video acquired from a camera as described above, the presence or absence of abnormalities in the switchgear can also be diagnosed through other means, such as sensors and relays installed inside or outside the switchgear.

[0078] The diagnostic of abnormalities collected by sensors installed inside the switchboard includes: a temperature sensor installed on the upper inner surface of the switchboard body to measure the temperature of the upper inner surface of the body in real time; a temperature and humidity sensor installed on the upper part of the switchboard body facing the internal space to measure the temperature and humidity of the upper air layer of the internal space in real time; an acoustic emission sensor serving as a degradation sensor to measure the deterioration of the switchboard electrical equipment in real time; an ultrasonic sensor configured to face the temperature sensor and the temperature and humidity sensor, respectively, to diagnose abnormalities in the temperature sensor and the temperature and humidity sensor by analyzing the distance, time, and intensity of the reflected ultrasonic waves reflected from the temperature sensor and the temperature and humidity sensor; and an ultrasonic sensor configured to detect whether the exhaust fan and the cooling fan maintain their normal positions, taking into account that if the exhaust fan and the cooling fan, which operate according to the temperature, humidity, and dew point temperature of the upper inner surface of the body, deviate from their normal positions, proper exhaust or cooling operation cannot be performed, and thus the temperature of the upper air layer may not decrease (the sensors and their positions, etc. are not shown in the drawings).

[0079] In another embodiment, a more accurate diagnosis can be made by comparing information sensed internally with information acquired externally by a camera. More preferably, an abnormality is diagnosed even if the two pieces of information differ. However, if the two pieces of information are identical, greater reliability can be ensured.

[0080] According to Fig. 7, as an example of a simulated busbar, it is a system diagram installed on the surface of a switchboard so that a manager can easily see the transmission status of the transmission and distribution system of a specific power plant. The symbols shown here are KS standards, and the colors of the simulated busbar are distinguished by voltage. That is, the symbols are black, extra-high voltage is red, high voltage is yellow, and low voltage is blue.

[0081] The embodiments of the present invention described above may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either alone or in combination.

[0082] The program instructions recorded on the above medium may be those specifically designed and configured for the present invention, or they may be those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

[0083] The above hardware device may be configured to operate as one or more software modules to perform the operations of one embodiment of the present invention, and vice versa.

[0084] The embodiments of the present invention described above have been explained with reference to the embodiments illustrated in the drawings for the sake of understanding, but this is merely illustrative and those skilled in the art will understand that various modifications and equivalent alternative embodiments are possible therefrom.

[0085] Therefore, the true technical scope of protection of the present invention should be determined by the appended claims.

[0086] [Explanation of the symbol]

[0087] 100 : Camera

[0088] 200 : Controller

[0089] 210 : Extraction part

[0090] 220 : Comparison Diagnostic Section

[0091] 230 : 1st storage unit

[0092] 240 : Second storage unit

[0093] 1000: Switchgear anomaly diagnosis system

Claims

1. A system for diagnosing whether there is an abnormality in a switchgear by monitoring and analyzing a status information providing unit installed in the switchgear in real time, A camera for capturing the above-mentioned status information display unit; and A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis system characterized by comprising: a controller comprising an extraction unit that extracts status information from image or video data and color information acquired from the camera and recognizes text and numeric data and color information of the status information using an image processing algorithm; and a comparison diagnosis unit that diagnoses whether there is an abnormality in the switchboard by comparing the extracted status information data (including color information) with reference data (including color information), and if there is an abnormality in the switchboard, classifies the degree of abnormality, establishes an action plan based on the classification, and transmits it to an administrator terminal.

2. In Paragraph 1, The above controller A first storage unit for storing data and color information of extracted state information; and A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis system characterized by further including a second storage unit for storing reference data for diagnosing whether there is an abnormality in the switchboard.

3. A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis system according to claim 2, wherein the second storage unit is capable of changing reference data in at least one of automatic and manual methods when the diagnosis criteria are changed by a user.

4. A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis system according to claim 2, wherein the second storage unit periodically backs up and encrypts information regarding reference data, and measures are taken to prevent data loss or alteration.

5. A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis system according to Claim 1, wherein the status information includes a simulated busbar, and the simulated busbar is displayed with LEDs of different colors depending on the electrical and temperature conditions inside the switchboard.

6. A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis system according to Claim 1, wherein the comparison judgment unit requests the user to update reference data corresponding to the change in the simulated busbar when there is a change in the simulated busbar information.

7. A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis system according to Claim 1, wherein the comparison judgment unit classifies the degree of abnormality and establishes and provides a plan of action based on the classification when an abnormality is detected in the diagnosis of the presence or absence of abnormality in the switchboard.

8. In Paragraph 1, A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis system characterized by the above-mentioned diagnostic unit executing emergency measures when the abnormality in the switchboard is at the highest risk level.

9. A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis system, wherein, in paragraphs 1 through 8, the status information providing unit performs a comprehensive diagnosis by comparing internally installed sensors with externally displayed information.

10. A method for diagnosing whether there is an abnormality in a switchgear by monitoring and analyzing a status information providing unit installed in the switchgear in real time, A step of photographing the state information providing unit using a camera; A step in which a controller extracts state information from image or video data and color information acquired from the camera; A step in which the above controller recognizes text and numeric data and color information of the state information using an image processing algorithm; A step of diagnosing whether there is an abnormality in the switchgear by comparing the extracted state information data with reference data of the controller; and A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis method characterized by including the step of, when there is an abnormality in the switchboard, the controller classifying the degree of abnormality and establishing an action plan based on the classification and transmitting it to an administrator terminal.

11. In Paragraph 10, The above controller The step of the above controller storing extracted state information data; and The above controller further includes the step of storing reference data for diagnosing whether there is an abnormality in the switchgear; A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis method characterized in that the above-mentioned reference data can be changed by administrator input 12. In the 10th, A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) equipped with an abnormality diagnosis method characterized by further including the step of the controller executing emergency measures when the abnormality in the switchboard is at the highest risk level.

13. A switchboard (high-voltage panel, low-voltage panel, distribution panel, motor control panel) having an abnormality diagnosis method characterized in that, in paragraphs 11 and 12, the status information providing unit performs a comprehensive diagnosis by comparing information obtained from an internally installed sensor with information displayed externally.

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