Switchgear using digital twin technology, and management method therefor

Abstract

A switchgear of the present invention comprises: a physical switchgear device; a plurality of sensors provided in the physical switchgear device so as to detect each of one or more pieces of field data generated by the physical switchgear device; a virtual processing unit which is connected to the physical switchgear device through a communication network, and which uses digital twin technology to generate and display a virtual switchgear device, which is synchronized with the physical switchgear device; and a local processing unit which provides a communication interface with the virtual processing unit at a site where the physical switchgear device is provided, and which collects corresponding field data from each of the plurality of sensors so as to transmit the field data to the virtual processing unit, wherein the virtual processing unit includes: a modeling information management DB for storing virtual graphic modeling information obtained by digitally modeling and duplicating a physical configuration of the physical switchgear device; a data receiving unit for receiving, from the local processing unit, the field data sensed by each of the sensors; a data synchronization unit for generating the virtual switchgear device by synchronizing the field data received from the data receiving unit with the graphic modeling information; and a virtual switchgear device display unit for displaying the virtual switchgear device so that the virtual switchgear device can be monitored at the site where the physical switchgear device is provided and / or a remote location, and thus the advantages of fault diagnosis and remote control of the physical switchgear device at a remote location can be provided.

Description

Switchgear panel using digital twin technology and its management method

[0001] The present invention relates to a switchboard, and more specifically, to a switchboard capable of remote fault diagnosis and control using digital twin technology, and a management method thereof.

[0002] In places where electricity is needed, a distribution board (also known as a branch board) is installed to branch out the electricity supplied from outside, and the distribution board is equipped with circuit breakers that can branch out the power supplied from outside to other places and electrical devices to control various power sources.

[0003] To this end, busbars are essential inside the distribution board to connect electrical and electronic devices such as circuit breakers and to create power branch points. However, these busbar connection points deteriorate over time due to aging or unstable connections, increasing the possibility of malfunctions or fires.

[0004] Meanwhile, if abnormal signs such as fire or malfunction in the distribution panel are left unattended, it may lead to an electric leakage accident, ground fault accident, or short circuit accident, which may result in a fire.

[0005] Accordingly, the need for a monitoring system that can check the operating status of the system in real time and quickly detect abnormalities when they occur is increasing to ensure smooth operation of the distribution system.

[0006] In this regard, Korean Patent Publication No. 10-2303585 discloses a method for detecting abnormal signs in a distribution panel using big data.

[0007] According to the above patent, by utilizing public data through OPEN API including images captured by cameras installed inside or outside of a switchboard and fire occurrence status by region / time, temperature and humidity, and earthquake occurrence status, abnormal signs in the switchboard are detected and predicted, and then the inspector located closest to the switchboard in need of inspection is notified, thereby enabling an emergency inspection or action to be taken at the switchboard, thereby preventing accidents caused by the switchboard.

[0008] However, these conventional technologies typically only analyze data from temperature sensors or thermal imaging cameras to detect the deterioration of the distribution panel and then transmit the results to the inspector through an alarm. However, they cannot determine the abnormal condition of components in the distribution panel, predict the risk of fire or failure, and suggest active response measures accordingly.

[0009] Furthermore, when anomalies are discovered in a switchboard, industrial facility operators often need to take emergency action. However, because the internal condition of the switchboard is unknown without an expert, operators have traditionally had to call and wait for an expert to inspect the panel. This has traditionally led to significant delays in detecting and responding to switchboard failures or malfunctions.

[0010] (Patent Document 1) Korean Patent Publication No. 10-2303585

[0011] In order to solve the above problem, the present invention uses digital twin technology to create a virtual distribution unit synchronized with a real distribution unit, and monitors the virtual distribution unit to enable fault diagnosis and remote control of the real distribution unit from a remote location, thereby providing a distribution panel using digital twin technology that enables real-time on-site management and interaction regardless of distance and enables rapid response to faults or malfunctions, and a management method thereof.

[0012] In addition, the present invention provides a distribution panel using digital twin technology and a management method thereof, which enables 24-hour monitoring of the actual distribution panel by displaying the virtual distribution panel so that the virtual distribution panel can be monitored at at least one of the site where the actual distribution panel is installed and a remote location, and enables monitoring of a wide range of distribution panels with a small number of monitoring personnel.

[0013] In addition, the present invention aims to provide a switchboard using digital twin technology and a management method thereof that enables safer operation by enabling rapid emergency response before a visit from an expert by automatically responding to 24-hour monitoring results using pre-registered situation-specific emergency response measures.

[0014] In order to achieve the above-described object, the present invention provides a distribution board, comprising: a real distribution board having a plurality of electrical devices including a circuit breaker and branching electricity supplied from a power plant to one or more loads; a plurality of sensors installed in the real distribution board to detect one or more field data generated in the real distribution board; a virtual processing unit connected to the real distribution board through a communication network and using digital twin technology to generate and display a virtual distribution board that is a virtual distribution board synchronized with the real distribution board; and a local processing unit that provides a communication interface with the virtual processing unit at a site where the real distribution board is installed and collects corresponding field data from each of the plurality of sensors and transmits the collected field data to the virtual processing unit, wherein the virtual processing unit comprises: a modeling information management DB that stores virtual graphic modeling information that digitally models and replicates the physical configuration of the real distribution board; a data receiving unit that receives field data detected by each of the sensors from the local processing unit; It is characterized by including a data synchronization unit that synchronizes field data received from the data receiving unit with the graphic modeling information to generate the virtual distribution device; and a virtual distribution device display unit that displays the virtual distribution device so that the virtual distribution device can be monitored at at least one of the field where the actual distribution device is installed and a remote location.

[0015] Preferably, the virtual distribution device display unit further displays the virtual distribution device through a display unit provided in the local processing unit so that the virtual distribution device can be monitored at a site where the actual distribution device is installed, and the local processing unit may further include a local control unit for controlling the operation of the corresponding actual distribution device based on selection information of a user who monitors the virtual distribution device displayed through the display unit.

[0016] Preferably, the above-described distribution panel further includes a power system status diagnosis unit that analyzes the field data to diagnose the power system status, including whether an abnormal state, failure, or accident has occurred in the power system connected to the corresponding actual distribution device, and specifies the phenomenon and accident type that may occur for each diagnosed power system status, and the virtual distribution device display unit can display the diagnosis result of the power system status diagnosis unit together with the virtual distribution device.

[0017] Preferably, the above-mentioned distribution panel further includes a distribution management DB that stores distribution management information including emergency response measures for each preset accident type; and a distribution management DB that detects distribution management information corresponding to the diagnosis results of the power system status diagnosis unit from the distribution management DB and automatically executes the corresponding distribution management information, and the virtual distribution device display unit can display the results of the distribution management information executed by the distribution management DB together with the virtual distribution device.

[0018] Preferably, the power system status diagnosis unit may include a correlation management unit that analyzes past power system failure or accident data to derive and manage correlations by type of the field data and types of failures or accidents that may occur in the power system; a trend analysis unit that analyzes time series data by type of the field data to analyze trends of each field data; a power quality analysis unit that analyzes the quality of power data included in the field data by type to analyze the quality of power supplied through the power system; an abnormal data specification unit that specifies abnormal data in which an abnormal state has occurred by type of the field data according to the analysis results of the trend analysis unit and the power quality analysis unit; and an abnormal condition specification unit that applies the abnormal data to the correlation to specify a phenomenon and an accident type occurring in the actual power distribution device.

[0019] Preferably, the above abnormal data specification unit can specify as abnormal data field data in which the data change rate calculated as an analysis result of the trend analysis unit exceeds a preset change rate threshold, or field data in which the quality degradation calculated as an analysis result of the power quality analysis unit exceeds a preset quality degradation threshold.

[0020] Preferably, the power system status diagnosis unit further includes a status prediction unit that predicts a status after a predetermined time for each field data based on a trend analysis result of the trend analysis unit and predicts a phenomenon and an accident type that may occur in the actual power distribution device using the prediction result, and the virtual power distribution device display unit can display the prediction result of the status prediction unit together with the virtual power distribution device.

[0021] Preferably, the above-mentioned distribution panel may further include a remote control unit that remotely controls the actual distribution device based on input information of a user who monitors the virtual distribution device.

[0022] In addition, the present invention provides a method for managing a distribution panel using digital twin technology, comprising a real distribution panel having a plurality of electrical devices including circuit breakers and branching electricity supplied from a power plant to one or more loads, and a virtual processing unit that generates and displays a virtual distribution panel synchronized with the real distribution panel, wherein the virtual processing unit comprises a modeling information storage step in which the virtual processing unit stores virtual graphic modeling information that digitally models and replicates the physical configuration of the real distribution panel; a data receiving step in which the virtual processing unit receives one or more field data generated in the real distribution panel from a plurality of sensors installed in the real distribution panel; a data synchronization step in which the virtual processing unit generates the virtual distribution panel by synchronizing the field data with the graphic modeling information; and a virtual distribution panel display step in which the virtual processing unit displays the virtual distribution panel so that the virtual distribution panel can be monitored from at least one of the site where the real distribution panel is installed and a remote location.

[0023] Preferably, the virtual distribution device display step further displays the virtual distribution device through a display unit provided at the site where the real distribution device is installed, so that the virtual distribution device can be monitored, and the method may further include a local control step of controlling the operation of the corresponding real distribution device based on selection information of a user who monitors the virtual distribution device displayed through the display unit.

[0024] Preferably, the method further includes a power system status diagnosis step in which the virtual processing unit analyzes the field data to diagnose the power system status, including whether an abnormal state, failure, or accident has occurred in the power system, and specifies a phenomenon occurring in response to each state and an accident type, and the virtual power distribution device display step can display the diagnosis result of the power system status diagnosis step together with the virtual power distribution device.

[0025] Preferably, the method further includes a step of storing action information including emergency response measures for each preset accident type; and a step of executing action information that detects action information corresponding to the diagnosis result of the power system status diagnosis step from the step of storing action information and automatically executes the corresponding action, and the virtual power distribution device display step can display the result of the action executed in the step of executing action together with the virtual power distribution device.

[0026] Preferably, the power system status diagnosis step may include a correlation management step of analyzing past power system failure or accident data to derive and manage correlations by type of the field data and types of failures or accidents that may occur in the power system; a trend analysis step of analyzing time series data by type of the field data to analyze trends of each field data; a power quality analysis step of analyzing the quality of power data included in the field data by type to analyze the quality of power supplied through the power system; an abnormal data specification step of specifying abnormal data in which an abnormal state has occurred by type of the field data according to the analysis results of the trend analysis step and the power quality analysis step; and an abnormal state specification step of specifying a phenomenon and an accident type occurring in the actual power distribution device by applying the abnormal data to the correlation.

[0027] Preferably, the above abnormal data specification step can specify as abnormal data field data in which the data change rate calculated as an analysis result of the above trend analysis step exceeds a preset change rate threshold, or field data in which the quality deterioration calculated as an analysis result of the above power quality analysis step exceeds a preset quality deterioration threshold.

[0028] Preferably, the power system status diagnosis step further includes a status prediction step of predicting a status after a predetermined time for each of the field data based on the trend analysis results of the trend analysis step, and predicting a phenomenon and accident type that may occur in the actual power distribution device using the prediction results, and the virtual power distribution device display step may display the prediction results of the status prediction step together with the virtual power distribution device.

[0029] Preferably, the method may further include a remote control step of remotely controlling the real power distribution device based on input information of a user who monitors the virtual power distribution device.

[0030] The switchboard using the digital twin technology of the present invention as described above and the management method thereof use the digital twin technology to create a virtual switchboard synchronized with the actual switchboard and enable fault diagnosis and remote control of the actual switchboard from a remote location through monitoring of the virtual switchboard, thereby enabling real-time on-site management and interaction regardless of distance and enabling rapid response to faults or malfunctions.

[0031] In addition, the present invention has the advantage of enabling 24-hour monitoring of the actual power distribution device by displaying the virtual power distribution device so that the virtual power distribution device can be monitored at at least one of the site where the actual power distribution device is installed and a remote location, and enabling monitoring of a wide range of power distribution panels with a small number of supervisory personnel.

[0032] In addition, the present invention has the advantage of enabling safer operation by enabling rapid emergency response before a visit from a specialist by automatically responding to the results of 24-hour monitoring using pre-registered situation-specific emergency response measures.

[0033] FIG. 1 is a schematic block diagram of a switchboard using digital twin technology according to one embodiment of the present invention.

[0034] FIG. 2 is a schematic block diagram of a virtual processing unit according to an embodiment of the present invention.

[0035] FIG. 3 is a drawing illustrating an example of a screen displaying a virtual distribution device created using digital twin technology in a distribution panel according to an embodiment of the present invention.

[0036] FIG. 4 is a diagram illustrating a processing process of a power system status diagnosis unit according to an embodiment of the present invention.

[0037] Figure 5 is a schematic block diagram of a power system status diagnosis unit according to one embodiment of the present invention.

[0038] FIG. 6 is a diagram schematically illustrating a method for specifying an abnormal state in an abnormal state-specific unit according to one embodiment of the present invention.

[0039] FIGS. 7 and 8 are flowcharts illustrating a method for managing a switchboard using digital twin technology according to one embodiment of the present invention.

[0040] *Explanation of key symbols in the drawing*

[0041] 100: Distribution board 110: Actual distribution device

[0042] 111: Sensor 120: Virtual Processing Unit

[0043] 121: Modeling Information Management DB 122: Action Management DB

[0044] 123: Data receiving unit 124: User interface unit (I / F)

[0045] 125: Data Synchronization Department 126: Action Execution Department

[0046] 127: Virtual power distribution device display unit 128: Remote control unit

[0047] 129: Control unit 200: Power system status diagnosis unit

[0048] 210: Correlation Management Department 220: Trend Analysis Department

[0049] 230: Power Quality Analysis Department 240: Abnormal Data Specific Department

[0050] 250: Abnormal condition specific section 260: Condition prediction section

[0051] 270: Diagnostic Control Unit

[0052] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings so that those skilled in the art can easily practice the present invention. However, the present invention can be implemented in various different forms and is not limited to the embodiments described herein. Meanwhile, in the drawings, parts that are not related to the description are omitted in order to clearly explain the present invention, and similar parts are designated with similar reference numerals throughout the specification. In addition, the description of parts that can be easily understood by those skilled in the art even if a detailed description is omitted is omitted.

[0053] Throughout the specification and claims, whenever a part is said to include a certain component, this does not mean that it excludes other components, but rather that it may include other components, unless specifically stated otherwise.

[0054] Figure 1 is a schematic block diagram of a distribution panel utilizing digital twin technology according to an embodiment of the present invention. Referring to Figure 1, a distribution panel (100) utilizing digital twin technology according to an embodiment of the present invention includes a real distribution unit (110) and a virtual processing unit (120).

[0055] The actual distribution device (110) is a device in which a number of electrical devices, including circuit breakers, are installed to branch off electricity supplied from a power plant, and can be referred to as a typical distribution panel.

[0056] Inside the real-time power distribution unit (110), a plurality of sensors (111) may be installed to detect one or more field data generated from the power system. At this time, the field data may include one or more real-time power data generated from the power system connected to the real-time power distribution unit (110) and one or more real-time environmental data indicating the environmental condition inside the real-time power distribution unit (110). Accordingly, the sensors (111) may include various sensors for collecting the power data or the environmental data. For example, sensor 1 may be implemented as a voltage sensor for detecting voltage from the power system, sensor 2 may be implemented as a current sensor for detecting current from the power system, and sensor n may be implemented as a temperature sensor for detecting temperature inside the real-time power distribution unit (110). In addition, a gas sensor for detecting gas inside the actual power distribution device (110) and a flame sensor for detecting flame inside the actual power distribution device (110) may be further included, and the actual power distribution device (110) may further include various sensors for detecting abnormal signs of the power system or the actual power distribution device (110). In the example of Fig. 1, a drawing of a general structure in which a plurality of electrical devices, including a circuit breaker, are installed using a busbar inside the actual power distribution device (110) is omitted.

[0057] In addition, the real-time power distribution device (110) provides a communication interface for connecting the real-time power distribution device (110) to a communication network, and may further include a local processing unit (112) that collects corresponding field data from each of a plurality of sensors (111) and transmits the collected data to the communication network.

[0058] In particular, the local processing unit (112) provides a communication interface with the virtual processing unit (120) to be described later, and can collect corresponding field data from each of a plurality of sensors (111) and transmit it to the virtual processing unit (120).

[0059] In addition, the local processing unit (112) may further include a display unit for displaying the virtual power distribution device received from the virtual processing unit (120) to be described later, and a local control unit for controlling the operation of the corresponding real power distribution device based on selection information of a user who monitors the virtual power distribution device displayed through the display unit.

[0060] For this purpose, the local processing unit (112) can be implemented as a computer device mainly used in industrial sites, a so-called industrial PC, and can be installed inside the actual power distribution device (110) or communicate with the actual power distribution device (110) using a short-range communication network or the like outside the actual power distribution device (110).

[0061] The virtual processing unit (120) is connected to the real power distribution unit (110) through a communication network, and creates and displays a virtual power distribution unit, which is a virtual power distribution unit synchronized with the real power distribution unit (110), using digital twin technology. To this end, the virtual processing unit (120) can be connected to the real power distribution unit (110) through a communication network. At this time, the digital twin technology refers to a technology that collects real data in real time and reflects it on a virtual screen to implement it identically. The virtual processing unit (120) uses the digital twin technology to collect the field data in real time from the real power distribution unit (110), and then displays the field data on the virtual power distribution unit.

[0062] FIG. 2 is a schematic block diagram of a virtual processing unit according to an embodiment of the present invention. Referring to FIG. 2, the virtual processing unit (120) includes a modeling information management DB (121), an action management DB (122), a data receiving unit (123), a user interface unit (I / F) (124), a data synchronization unit (125), an action execution unit (126), a virtual power distribution device display unit (127), a remote control unit (128), a control unit (129), and a power system status diagnosis unit (200).

[0063] The modeling information management DB (121) stores virtual graphic modeling information that replicates the physical configuration of the real power distribution device (110) by digitally modeling it. At this time, the graphic modeling information may be information that models the physical devices that constitute the real power distribution device (110) using a known technique for digitally modeling the real device.

[0064] The action management DB (122) stores preset action information for each type of accident, failure, or abnormality that may occur in a real power distribution unit (110) or power system. In particular, the action information may include preset emergency response measures for each type of accident, failure, or abnormality. In addition, the action information may further include information for automatically calling an expert for each type of accident, failure, or abnormality, a guidance message for notifying the occurrence of an abnormality through a virtual power distribution unit display unit (127), and basic manual information for general managers to take action.

[0065] The data receiving unit (123) receives field data detected by each of the sensors (111) provided in the actual power distribution device (110). At this time, the data receiving unit (123) can continuously collect the field data through the local processing unit (112). That is, the data receiving unit (123) can continuously collect the corresponding field data from each of the sensors (111) at a preset period (e.g., in seconds) by communicating with the local processing unit (112). This is to enable the power system status diagnosis unit (200) to be described later to continuously monitor the status of the actual power distribution device (110) for 24 hours. In addition, the trend analysis unit (220) to be described later can analyze the time series data for each field data to analyze the trend by type of field data.

[0066] The user interface unit (I / F) (124) provides an interface with the user. For example, the user interface unit (I / F) (124) can receive user input information for remotely controlling the actual power distribution unit (110) through the remote control unit (128) described below and transmit the information to the control unit (129). At this time, the user may be a system expert or a general manager as a manager of the power distribution panel. The data synchronization unit (125) synchronizes the field data received from the data receiving unit (123) with the graphic modeling information to generate the virtual power distribution unit. For example, the data synchronization unit (125) can express various pieces of equipment installed in the actual power distribution unit (110) and their connection relationships as graphic images, and reflect the corresponding field data on the graphic images to generate the virtual power distribution unit. For this purpose, the data synchronization unit (125) can use conventional digital twin technology.

[0067] The action execution unit (126) detects action information corresponding to the diagnosis result of the power system status diagnosis unit (200) to be described later from the action management DB (122) and automatically executes the corresponding action. At this time, the action information may include, as mentioned in the description of the action management DB (122), a preset emergency response plan for each type of accident, failure, or abnormality symptom (hereinafter, abbreviated as “failure type”), call information for automatically calling a corresponding expert, a guidance message for providing guidance through the virtual power distribution device display unit (127), and basic manual information that a general manager can take action on. The action execution unit (160) may detect and execute information corresponding to the diagnosis result of the power system status diagnosis unit (200) among the above action information. For example, the action execution unit (126) may automatically execute an emergency response plan corresponding to the above-mentioned failure type, automatically call an expert corresponding to the above-mentioned failure type, provide information on the above-mentioned failure situation through the virtual power distribution device display unit (127), or display the above-mentioned basic manual information through the virtual power distribution device display unit (127) so that a general manager can take action. At this time, in order to automatically execute the above-mentioned emergency response plan, the action execution unit (126) may transmit a corresponding control command to the actual power distribution device (110) through the remote control unit (128).

[0068] The remote control unit (128) monitors the operating status of the virtual distribution unit through the virtual distribution unit display unit (127), or remotely controls the actual distribution unit (110) based on the input information of the user who has checked the above-mentioned guidance message or the above-mentioned basic manual information. To this end, the remote control unit (128) may generate a remote control signal for controlling the corresponding actual distribution unit (110) based on the user's selection information input through the user interface unit (I / F) (124), and then transmit the remote control signal to the actual distribution unit (110), or transmit a control command generated or selected by the action execution unit (126) to the actual distribution unit (110).

[0069] The virtual distribution device display unit (127) displays the virtual distribution device so that the virtual distribution device can be monitored at least at one of the site where the actual distribution device (110) is installed and a remote location. To this end, the virtual distribution device display unit (127) may be installed on the external door of the actual distribution device (110) or implemented as a server device connected to the actual distribution device (110) via a communication network, and may be implemented integrally with a user interface unit (I / F) (124) to input user selection information based on the monitoring results of the virtual distribution device.

[0070] Alternatively, the virtual distribution unit display unit (127) displays the virtual distribution unit through a display unit provided in the local processing unit (112), thereby enabling the virtual distribution unit (110) to be monitored at the site where the actual distribution unit (110) is installed. In addition, the virtual distribution unit display unit (127) displays the diagnosis results of the power system status diagnosis unit (200) to be described later together with the virtual distribution unit. For example, when a fire occurs inside the actual distribution unit (110) or a fire is predicted to occur in the near future, the virtual distribution unit display unit (127) may display the fire situation through the virtual distribution unit display unit (127), and may also display the fire situation at a specific location of the virtual distribution unit (i.e., graphic image) where the fire is predicted to occur. To this end, the virtual distribution unit display unit (127) may be controlled by the control unit (129).

[0071] In addition, the virtual distribution device display unit (127) can display the results of the measures taken by the action execution unit (126) together with the virtual distribution device. For example, when the fire situation is displayed, if the action execution unit (126) automatically executes the corresponding emergency response plan, such as spraying fire extinguishing agent, and the fire inside the real distribution device (110) is extinguished, the virtual distribution device display unit (127) can display the fire extinguished state in various forms.

[0072] FIG. 3 is a diagram showing an example of a screen displaying a virtual distribution device created using digital twin technology in a distribution panel according to an embodiment of the present invention, and shows an example of a screen of a virtual distribution device display unit (127). Referring to FIG. 3, the virtual distribution device display unit (127) displays a virtual distribution device created by graphic modeling and specification information (e.g., installation location, contract capacity, leakage current, etc.) of a corresponding real distribution device together, and on the right side, a trend of the corresponding power data is displayed as a graph.

[0073] The power system status diagnosis unit (200) analyzes the above-mentioned field data to diagnose the power system status, including whether an abnormal state, failure, or accident has occurred in the power system connected to the corresponding actual power distribution device, and specifies the phenomenon and accident type that may occur for each diagnosed power system status.

[0074] FIG. 4 is a diagram illustrating a processing process of a power system status diagnosis unit according to an embodiment of the present invention, and illustrates a series of processes in which the power system status diagnosis unit (200) analyzes the field data to diagnose the presence and type of a fault and take action. Referring to FIG. 4, first, in step S10, the power system status diagnosis unit (200) measures parameters such as load factor, CO gas, light, voltage, frequency, vibration, CO2 gas, power factor, zero-phase current, temperature, current, and N-phase current, and in step S20, the power system status diagnosis unit (200) analyzes the measurement results to identify abnormality types such as overload, partial discharge, leakage, overcurrent, arc, low voltage, unbalance, and spark, and in step S30, the power system status diagnosis unit (200) uses the results to identify accident types such as deterioration, output reduction, poor contact, earthquake, and fire. To this end, the power system status diagnosis unit (200) can derive a correlation between the measurement results of the parameters and the types of abnormalities or accidents that occurred in the past, and measure the types of abnormalities or accidents using the correlations. In step S40, the action execution unit (126) uses the diagnosis results and previously registered action information to perform actions such as alarms, fire extinguishing operations, and system shutdowns.

[0075] Meanwhile, the number and types of the above parameters, the above abnormality types, and the above measures may increase or decrease depending on the size or type of the device to be monitored.

[0076] The configuration and operation of this power system status diagnosis unit (200) will be described in more detail with reference to FIG. 5.

[0077] The control unit (129) controls the overall operation of the virtual processing unit (120) based on a preset virtual processing algorithm. For example, the control unit (129) can control the operation of each of the modeling information management DB (121), the action management DB (122), the data receiving unit (123), the user interface unit (I / F) (124), the data synchronization unit (125), the action execution unit (126), the virtual power distribution device display unit (127), and the remote control unit (128) based on the virtual processing algorithm.

[0078] Fig. 5 is a schematic block diagram of a power system status diagnosis unit according to an embodiment of the present invention. Referring to Fig. 5, a power system status diagnosis unit (200) according to an embodiment of the present invention may include a correlation management unit (210), a trend analysis unit (220), a power quality analysis unit (230), an abnormal data specification unit (240), an abnormal state specification unit (250), a state prediction unit (260), and a diagnosis control unit (270).

[0079] The correlation management unit (210) manages the types of field data and the correlations according to the types of faults or accidents that may occur in the power system. To this end, the correlation management unit (210) analyzes past power system fault or accident data to derive correlations according to the types of field data and the types of faults or accidents that may occur in the power system, or collects the previously derived correlations through an external device (e.g., USB, etc.).

[0080] The trend analysis unit (220) analyzes the time series data of each type of field data and analyzes the trend of each field data. That is, the trend analysis unit (220) analyzes the change trend of the measured values ​​over time for each field data. To this end, the trend analysis unit (220) can measure the rate of change by comparing the previous measured value with the current measured value using a known trend analysis tool or trend analysis algorithm.

[0081] The power quality analysis unit (230) analyzes the quality of the power data included in the field data by type, thereby analyzing the quality of the power supplied through the power system. That is, the power quality analysis unit (230) can measure the quality of each type of power data (e.g., power, voltage, current, etc.) and then measure the amount of quality degradation by comparing it with previously measured quality. For this purpose, the power quality analysis unit (230) can utilize a known power quality analysis tool or power quality algorithm.

[0082] The abnormal data specifying unit (240) specifies abnormal data in which an abnormal state has occurred for each type of field data according to the analysis results of the trend analysis unit (220) and the power quality analysis unit (230). To this end, the abnormal data specifying unit (240) may store, in advance, a preset change rate threshold and a quality degradation threshold for each type of field data, and specify field data in which the data change rate calculated as the analysis result of the trend analysis unit (220) exceeds the change rate threshold, or field data in which the quality degradation calculated as the analysis result of the power quality analysis unit (230) exceeds the quality degradation threshold, as abnormal data.

[0083] The abnormal state specifying unit (250) applies the abnormal data specified by the abnormal data specifying unit (240) to the above correlation to specify the phenomenon and accident type occurring in the actual power distribution device (110). Fig. 6 is a diagram schematically illustrating a method for specifying an abnormal state in the abnormal state specifying unit according to one embodiment of the present invention, and exemplifies a method for specifying an abnormal state in the abnormal state specifying unit (250) when a fire occurs.

[0084] Referring to FIG. 6, the abnormal state identifying unit (250) can perform an element-by-element abnormality detection step, an occurrence phenomenon confirmation step, and an accident type confirmation step. In order to detect a fire, the abnormal state identifying unit (250) first, in the element-by-element abnormality detection step, measures elements (e.g., CO gas, N-phase current, current, CO2 gas, voltage, power factor, temperature, zero-phase current, light, frequency, vibration, load factor, etc.) that are changed or newly generated due to the occurrence of a fire through sensors (111) provided in the actual power distribution device (110), and identifies elements (e.g., CO gas, current, CO2 gas, voltage, temperature, and light, etc.) that are determined to have caused an abnormality.

[0085] At this time, the above parameter measurement elements may vary depending on the type of sensors (111) provided in the real power distribution device (110).

[0086] In this way, when the parameter in which an abnormality has occurred is specified, the abnormality specification unit (250) specifies the phenomena that may occur due to the combination of the specified elements in the phenomenon confirmation step. For example, in the element-specific abnormality detection step, if it is determined that an abnormality has occurred in the CO gas, CO2 gas, temperature, and light parameter elements, the abnormality specification unit (250) can specify that a flame has occurred in the actual power distribution device (110), because a flame generally causes changes in the gas, temperature, and light parameter elements. Meanwhile, in the step above, if it is determined that an abnormality has occurred in the current and voltage parameter elements, the abnormality specification unit (250) can specify that an overload has occurred in the actual power distribution device (110).

[0087] By this process, if it is determined that an abnormality has occurred in the CO gas, current, CO2 gas, voltage, temperature, and light parameter elements in the above-mentioned element-by-element abnormality detection step, the abnormality condition specification unit (250) can specify the possible occurrence of a phenomenon as overload, leakage, arc, overcurrent, and flame phenomenon in the occurrence phenomenon confirmation step.

[0088] In the accident type confirmation step, the abnormal condition specification unit (250) identifies the accident type by synthesizing the phenomena identified in the above-mentioned phenomenon confirmation step. That is, if overload, leakage, arc, overcurrent, and spark phenomena are identified in the above-mentioned phenomenon confirmation step, the abnormal condition specification unit (250) can identify the accident type as a fire.

[0089] Through these steps, if the abnormal condition specific unit (250) diagnoses a failure, the action execution unit (126) executes actions for each accident type based on the information and information previously stored in the action management DB (122). As illustrated in FIG. 6, if the abnormal condition specific unit (250) diagnoses a fire, the action execution unit (126) can execute actions such as an abnormal alarm, system shutdown, and automatic fire extinguishing system operation.

[0090] Meanwhile, the action execution unit (126) executes measures according to the type of accident that has occurred, and can output an alarm or other method so that the user can take action in advance through simulation even when an abnormal type occurs without an accident occurring.

[0091] The status prediction unit (260) predicts the status after a predetermined time for each field data based on the trend analysis results of the trend analysis unit (220), and uses the predicted results to predict the phenomenon and accident type that may occur in the actual power distribution device (110).

[0092] In this way, when the state prediction unit (260) predicts a future operating state, the virtual power distribution device display unit (127) can display the predicted result of the state prediction unit (260) together with the virtual power distribution device.

[0093] The diagnostic control unit (270) controls the overall operation of the power system status diagnosis unit (200) based on a preset power system status diagnosis algorithm. For example, the diagnostic control unit (270) can control the operation of each of the correlation management unit (210), the trend analysis unit (220), the power quality analysis unit (230), the abnormal data specification unit (240), the abnormal status specification unit (250), and the status prediction unit (260) based on the power system status diagnosis algorithm.

[0094] FIGS. 7 and 8 are flowcharts illustrating a method for managing a switchboard using digital twin technology according to one embodiment of the present invention.

[0095] Referring to FIGS. 1 to 8, a method for managing a switchboard using digital twin technology according to one embodiment of the present invention is described as follows.

[0096] First, in step S105, the virtual processing unit (120) performs graphic modeling for the actual power distribution device (110). That is, in step S105, the virtual processing unit (120) digitally models the physical configuration of the actual power distribution device (110), creates virtual graphic modeling information that replicates the physical configuration, and then stores the virtual graphic modeling information in the modeling information management DB (121).

[0097] In step S110, the real-time power distribution device (110) detects field data. That is, in step S110, the real-time power distribution device (110) detects field data including one or more real-time power data generated in a power system connected to the real-time power distribution device (110) and one or more real-time environmental data indicating an environmental condition inside the real-time power distribution device (110) from a plurality of sensors (111).

[0098] In step S115, the virtual processing unit (120) continuously receives the field data. That is, in step S115, the virtual processing unit (120) receives the field data transmitted by the actual power distribution unit (110). To this end, the virtual processing unit (120) may be connected to the actual power distribution unit (110) via a communication network. In particular, the virtual processing unit (120) may collect field data collected by each of the sensors (111) within the actual power distribution unit (110) through a communication interface provided through the local processing unit (112).

[0099] In step S120, the virtual processing unit (120) applies the field data to the graphic modeling information to create a virtual distribution unit synchronized with the actual distribution unit (110). To this end, in step S120, the virtual processing unit (120) may utilize a known digital twin technology.

[0100] In step S200, the virtual processing unit (120) diagnoses the power system status. That is, in step S200, the virtual processing unit (120) analyzes the field data to diagnose the power system status, including whether an abnormal state, failure, or accident has occurred in the power system connected to the corresponding real power distribution device, and specifies the phenomenon and accident type that may occur for each diagnosed power system status.

[0101] To this end, the virtual processing unit (120) analyzes past power system failure or accident data in step S210, derives and manages correlations by type of the field data and types of failures or accidents that may occur in the power system, analyzes time series data by type of the field data in step S220, analyzes trends of each field data, and analyzes the quality of each type of power data included in the field data in step S230, analyzes the quality of the power supplied through the power system.

[0102] In particular, in step S220, the virtual processing unit (120) can further perform a process of predicting the state after a predetermined time for each field data based on the trend analysis result of step S220, and predicting a phenomenon and accident type that may occur in the actual power distribution device (110) using the predicted result.

[0103] In addition, the virtual processing unit (120), in step S240, specifies abnormal data in which an abnormal state has occurred for each type of the field data according to the analysis results of steps S220 and S230, and in step S250, applies the abnormal data to the correlation to specify the phenomenon and accident type occurring in the real power distribution device (110).

[0104] To this end, in step S240, the virtual processing unit (120) can specify field data in which the data change rate calculated as the analysis result of step S220 exceeds a preset change rate threshold, or field data in which the quality deterioration calculated as the analysis result of step S230 exceeds a preset quality deterioration threshold, as abnormal data.

[0105] In step S125, the virtual processing unit (120) displays the virtual power distribution device so that the virtual power distribution device can be monitored from outside or a remote location of the actual power distribution device (110). In particular, in step S125, the virtual processing unit (120) can display the diagnosis result from step S200 together with the virtual power distribution device.

[0106] In steps S130 and S135, if a predetermined action is taken through the virtual processing unit (120), that is, if the action is taken on the real power distribution device (110) through the virtual processing unit (120), the virtual processing unit (120) applies the action to the virtual power distribution device and then displays it together.

[0107] To this end, the virtual processing unit (120) may further include a step (not shown) of storing action information including emergency response measures for each preset accident type, detecting action information corresponding to the diagnosis result of step S200 from the stored action information, and automatically executing the corresponding action information.

[0108] In steps S140 and S145, if a future state prediction result exists in the virtual processing unit (120), that is, in step S220, if the virtual processing unit (120) predicts a state after a predetermined time for each field data based on the trend analysis result of step S220, the prediction result is applied to the virtual power distribution device and then displayed together.

[0109] In steps S150 to S160, when remote control information, i.e., user selection information, is input to the virtual processing unit (120), the virtual processing unit (120) generates a remote control signal corresponding to the selection information and then transmits the remote control signal to the real power distribution device (110).

[0110] Due to this, the real-time power distribution device (110) can be remotely controlled based on the above remote control signal.

[0111] In the description of the method of the present invention with reference to FIGS. 1 to 8, redundant descriptions of the contents mentioned in the description of the switchboard of the present invention with reference to FIGS. 1 to 6 have been omitted.

[0112] As described above, the distribution panel using digital twin technology of the present invention and the management method thereof use digital twin technology to create a virtual distribution panel synchronized with an actual distribution panel, and monitor the virtual distribution panel to enable fault diagnosis and remote control of the actual distribution panel from a remote location, thereby enabling real-time on-site management and interaction regardless of distance, and enabling rapid response to faults or malfunctions.

[0113] In addition, the present invention has the feature that 24-hour monitoring of the actual power distribution device is possible by displaying the virtual power distribution device so that the virtual power distribution device can be monitored from outside or a remote location of the actual power distribution device, and monitoring of a wide range of power distribution panels is possible with a small number of supervisory personnel.

[0114] In addition, the present invention has the characteristic of enabling safer operation by enabling rapid emergency response before a visit from a specialist by automatically responding to the results of 24-hour monitoring using pre-registered emergency response measures for each situation.

[0115] Although the above description has presented and described preferred embodiments of the present invention, the present invention is not necessarily limited thereto, and it will be readily apparent to those skilled in the art that various substitutions, modifications, and changes can be made without departing from the technical spirit of the present invention.

Claims

1. In the distribution panel, A power distribution system that is equipped with a number of electrical devices including circuit breakers and branches electricity supplied from a power plant to one or more loads; A plurality of sensors installed in the above-mentioned reality distribution device and each detecting one or more field data generated from the above-mentioned reality distribution device; A virtual processing unit that is connected to the above-mentioned real distribution device through a communication network and creates and displays a virtual distribution device that is a virtual distribution device synchronized with the above-mentioned real distribution device using digital twin technology; and Provides a communication interface with the virtual processing unit at the site where the above-mentioned real-time power distribution device is installed, and includes a local processing unit that collects corresponding field data from each of the plurality of sensors and transmits it to the virtual processing unit. The above virtual processing unit, A modeling information management DB that stores virtual graphic modeling information that digitally models and replicates the physical configuration of the above-mentioned real-time power distribution device; A data receiving unit that receives field data detected by each of the sensors from the local processing unit; A data synchronization unit that synchronizes the field data received from the data receiving unit with the graphic modeling information to create the virtual power distribution device; and A distribution panel using digital twin technology, characterized in that it includes a virtual distribution device display unit that displays the virtual distribution device so that the virtual distribution device can be monitored at at least one of the site where the actual distribution device is installed and a remote location.

2. In the first paragraph, the virtual power distribution device display unit In order to enable monitoring of the virtual distribution device at the site where the actual distribution device is installed, the virtual distribution device is further displayed through a display unit provided in the local processing unit. The above local processing unit A distribution panel using digital twin technology, characterized in that it further includes a local control unit for controlling the operation of a corresponding real distribution unit based on selection information of a user who monitors a virtual distribution unit displayed through the above display unit.

3. In paragraph 1 or 2, It further includes a power system status diagnosis unit that analyzes the above field data to diagnose the power system status including the occurrence of an abnormal state, failure, or accident in the power system connected to the corresponding actual power distribution device, and specifies the phenomenon and accident type that may occur for each diagnosed power system status. The above virtual power distribution device display unit is: A distribution panel using digital twin technology characterized in that the diagnosis results of the power system status diagnosis unit are displayed together with the virtual distribution device.

4. In paragraph 3, A countermeasure management DB that stores countermeasure information, including emergency response plans for each preset accident type; and It further includes an action execution unit that detects action information corresponding to the diagnosis result of the power system status diagnosis unit from the above action management DB and automatically executes the corresponding action, The above virtual power distribution device display unit is: A distribution panel using digital twin technology, characterized in that the results of the measures taken by the above-mentioned action execution unit are displayed together with the above-mentioned virtual distribution device.

5. In the third paragraph, the power system status diagnosis unit, A correlation management unit that analyzes past power system failure or accident data and derives and manages correlations between the types of field data and the types of failures or accidents that may occur in the power system; A trend analysis unit that analyzes the time series data of each type of the above field data and analyzes the trend of each of the above field data; A power quality analysis unit that analyzes the quality of power data included in the above field data by type and analyzes the quality of power supplied through the power system; An abnormal data specification unit that specifies abnormal data in which an abnormal condition has occurred by type of the field data according to the analysis results of the trend analysis unit and the power quality analysis unit; and A distribution panel using digital twin technology, characterized in that it includes an abnormal state specification section that specifies a phenomenon and an accident type occurring in the actual distribution device by applying the above abnormal data to the above correlation.

6. In paragraph 5, the abnormal data specific section, A distribution panel using digital twin technology characterized in that field data in which the data change rate calculated as a result of analysis by the trend analysis unit exceeds a preset change rate threshold, or field data in which the quality deterioration calculated as a result of analysis by the power quality analysis unit exceeds a preset quality deterioration threshold, are designated as abnormal data.

7. In paragraph 5, the power system status diagnosis unit, It further includes a state prediction unit that predicts the state after a predetermined time for each field data based on the trend analysis result of the trend analysis unit, and predicts the phenomenon and accident type that may occur in the actual power distribution device using the prediction result. The above virtual power distribution device display unit is: A distribution panel using digital twin technology, characterized in that the prediction results of the above-mentioned state prediction unit are displayed together with the above-mentioned virtual distribution device.

8. In paragraph 1, A distribution panel using digital twin technology, characterized in that it further includes a remote control unit that remotely controls the real distribution device based on input information from a user who monitors the virtual distribution device.

9. A method for managing a distribution panel using digital twin technology, including a real distribution unit having a plurality of electrical devices including a circuit breaker and branching electricity supplied from a power plant to one or more loads, and a virtual processing unit that creates and displays a virtual distribution unit synchronized with the real distribution unit, A modeling information storage step in which the virtual processing unit stores virtual graphic modeling information that digitally models and replicates the physical configuration of the actual power distribution device; A data receiving step in which the virtual processing unit receives one or more field data generated in the real power distribution device from a plurality of sensors installed in the real power distribution device; A data synchronization step in which the virtual processing unit synchronizes the field data with the graphic modeling information to create the virtual power distribution device; and A method for managing a distribution panel using digital twin technology, characterized in that the virtual processing unit includes a virtual distribution device display step for displaying the virtual distribution device so that the virtual distribution device can be monitored at at least one of the site where the actual distribution device is installed and a remote location.

10. In the 9th paragraph, the virtual power distribution device display step In order to enable monitoring of the virtual distribution device at the site where the above-mentioned actual distribution device is installed, the virtual distribution device is further displayed through a display unit provided at the site. The above method A method for managing a distribution panel using digital twin technology, characterized in that it further includes a local control step for controlling the operation of a corresponding real distribution device based on selection information of a user who monitors a virtual distribution device displayed through the above display unit.

11. In paragraph 9, The above virtual processing unit further includes a power system status diagnosis step that analyzes the field data to diagnose the power system status, including whether an abnormal state, failure, or accident has occurred in the power system, and specifies the phenomenon occurring in response to each state and the type of accident. The above virtual power distribution device display step is: A management method for a distribution panel using digital twin technology, characterized in that the diagnosis result of the above power system status diagnosis step is displayed together with the above virtual distribution device.

12. In paragraph 11, A step for storing action information, including emergency response measures for each preset accident type; and It further includes an action execution step for detecting action information corresponding to the diagnosis result of the power system status diagnosis step from the above action information storage step and automatically executing the corresponding action information. The above virtual power distribution device display step is: A method for managing a distribution panel using digital twin technology, characterized in that the results of the measures taken in the above-mentioned measure execution step are displayed together with the virtual distribution device.

13. In paragraph 11, the power system status diagnosis step, A correlation management step that analyzes past power system failure or accident data and derives and manages correlations by type of field data and type of failure or accident that may occur in the power system; A trend analysis step for analyzing the trend of each field data by analyzing the time series data by type of the field data; A power quality analysis step for analyzing the quality of power data included in the above field data by type and analyzing the quality of power supplied through the power system; An abnormal data specification step for specifying abnormal data in which an abnormal condition has occurred by type of the field data according to the analysis results of the above trend analysis step and the above power quality analysis step; and A management method for a distribution panel using digital twin technology, characterized in that it includes an abnormal state specification step for specifying a phenomenon and an accident type occurring in the actual distribution device by applying the above abnormal data to the above correlation.

14. In the 13th paragraph, the abnormal data specific step is, A method for managing a distribution panel using digital twin technology, characterized in that field data in which the data change rate calculated as an analysis result of the above trend analysis step exceeds a preset change rate threshold, or field data in which the quality deterioration calculated as an analysis result of the above power quality analysis step exceeds a preset quality deterioration threshold, are designated as abnormal data.

15. In paragraph 13, the power system status diagnosis step, It further includes a state prediction step for predicting the state after a predetermined time for each field data based on the trend analysis result of the trend analysis step, and predicting the phenomenon and accident type that may occur in the actual power distribution device using the predicted result. The above virtual power distribution device display step is: A method for managing a distribution panel using digital twin technology, characterized in that the prediction result of the above-mentioned state prediction step is displayed together with the above-mentioned virtual distribution device.

16. In paragraph 9, A method for managing a distribution panel using digital twin technology, characterized in that it further includes a remote control step for remotely controlling the real distribution device based on input information of a user who monitors the virtual distribution device.

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