External linkage communication control method for monitoring and controlling power of railway substation based artificial intelligence and apparatus and system therefor

Abstract

The present invention relates to an artificial intelligence-based railway substation power monitoring and control method and an apparatus and system for the same. An artificial intelligence-based railway substation power monitoring and control redundancy system, comprising a power monitoring and control device for monitoring and controlling external interconnected equipment according to one aspect of the present disclosure, a control controller, an operating server, an optimal communication interface combination analysis server, a big data server, and an AI engine providing server, can perform railway substation operation management more stably and efficiently by reconfiguring the communication interface to an optimal state through the upper operating server and / or the optimal communication interface combination analysis server via the upper control controller when a communication failure or fault is detected while performing the function of monitoring and controlling external interconnected equipment such as lower electronic distribution panels and remote terminal units (RTUs).

Description

Technology Field

[0001] The present invention relates to power monitoring and control technology for railway substations, and more specifically, to an artificial intelligence-based power monitoring and control technology for railway substations that enables more stable and efficient railway substation operation management by reconfiguring the communication interface to an optimal state through a higher-level control controller in conjunction with a higher-level operation server and / or an optimal communication interface combination analysis server when a communication failure or fault is detected while performing the function of monitoring and controlling external interconnected equipment such as lower-level electronic distribution panels and remote terminal units (RTUs). Background Technology

[0002] The electric railway transmission and distribution power supply system consists of a system that receives 154KV from KEPCO substations through overhead or underground receiving lines, generates electricity of a voltage suitable for railway vehicles at railway substations, and supplies it to railway vehicles through overhead lines. In addition, for facilities supplying electricity to railway facilities excluding the power required for train operation, extra-high voltage (22.9kV) is received from KEPCO and configured as a redundant system through electrical rooms (22.9kV→220V) placed at intervals of approximately 3km along the tracks to supply electricity to facilities supplying various equipment along the tracks (signals, communications, etc.) and station facilities (lighting, station service facilities, computer equipment, etc.).

[0003] At this time, communication control units are widely used to perform remote control and monitoring of power equipment such as receiving rooms and electrical rooms.

[0004] These power monitoring and control devices must execute commands based on messages transmitted from the railway traffic control center SCADA (Supervisory Control and Data Acquisition) system and software of small-scale power distribution facilities, and transmit the contents to digital power protection monitoring and control devices, tunnel lighting control devices, etc., in each station, power receiving room and electrical room within each station, and power distribution panels.

[0005] The load switch can disconnect a certain section when power outage work is required due to railway operation plans or unexpected accidents, and in addition, if a fault occurs in the overhead line AF (feeder line), it can quickly disconnect the faulty line with a circuit breaker and operate the emergency line only on the TF (overhead line) to minimize the extent of damage and prevent the fault current from spreading to other lines.

[0006] A Remote Terminal Unit (RTU) is a device installed in substations, power equipment, overhead line load switches (LBS), power disconnect switches (PDS), tunnel distribution stations, etc., that acquires and analyzes field information to exchange information and signals with a Supervisory Control and Data Acquisition (SCADA) system. It performs monitoring and control by analyzing data, and carries out remote monitoring, control, measurement, statistical processing, and various recording tasks.

[0007] Conventional power monitoring and control devices were implemented with a unified configuration of digital input / output modules and analog input modules, which made data collection impossible in the event of a module failure. Furthermore, the unclear distinction between failures in the power monitoring and control device and the controlled equipment resulted in significant time and effort being required for repairs, presenting a problem.

[0008] Furthermore, conventionally, power monitoring and control devices varied in enclosure and board configuration by manufacturer, and due to differences in performance and specifications, compatibility issues arose between boards. Consequently, there was a problem where recovery required significant time and cost in the event of various failures and / or malfunctions. The problem to be solved

[0009] The objective of the present invention is to provide an artificial intelligence-based railway substation power monitoring and control method and a device and system for the same.

[0010] Another objective of the present invention is to provide a power monitoring and control device capable of performing railway substation operation management more stably and efficiently by reconfiguring the communication interface to an optimal state through an upper-level control controller in conjunction with an upper-level operation server and / or an optimal communication interface combination analysis server when a communication failure or fault is detected while performing the function of monitoring and controlling external interconnected equipment such as lower-level electronic distribution panels and remote terminal units (RTUs).

[0011] Another objective of the present invention is to provide an artificial intelligence-based railway substation power monitoring and control method, as well as a device and system for the same, which is capable of providing an optimized redundancy strategy for redundant input power and external interconnected communication modules by utilizing multiple AI models pre-trained based on pre-collected fault and failure history data and communication statistics data for each type of power monitoring and control device.

[0012] Another objective of the present invention is to provide an artificial intelligence-based railway substation power monitoring and control method, as well as a device and system for the same, which is capable of accurately determining a faulty component by providing a control relay feedback means, and also protecting equipment by preventing the occurrence of surges caused by sudden load fluctuations.

[0013] Another objective of the present invention is to provide an artificial intelligence-based railway substation power monitoring and control method, as well as a device and system for the same, which is capable of continuously providing an optimized communication environment with external interconnection equipment by collecting time-based transmission and reception statistical data for each communication channel of a redundant external communication interconnection module within a railway substation power detection and control device, and applying the collected transmission and reception statistical data to an optimal communication channel automatic allocation engine generated through prior deep learning model training.

[0014] Another objective of the present invention is to provide an artificial intelligence-based railway substation power monitoring and control method, as well as a device and system for the same, which can improve the communication reliability of a railway substation power detection and control system by providing a control controller (or redundant control device) equipped with an automatic switching function for a redundant CPU and an external communication module of a power monitoring and control device, as well as an automatic switching control function for a plurality of operating servers.

[0015] The technical problems of the present invention are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0016] A method for an artificial intelligence-based railway substation power monitoring and control system comprising external linkage equipment, a power monitoring and control device, a control controller, an operating server, an optimal communication interface combination analysis server, a big data server, and an AI engine providing server that are interconnected through a network according to one aspect of the present disclosure comprises: a step of transmitting an alarm message containing status information of a power detection and control device to the operating server based on the detection of a communication failure and / or fault of the power detection and control device by the control controller; a step of transmitting an optimal module combination analysis request message containing status information of the power detection and control device to the optimal communication interface combination analysis server by the operating server through an AI chatbot; a step of identifying the type of the power detection and control device to be analyzed based on the status information of the power detection and control device by the optimal communication interface combination analysis server and obtaining data corresponding to the identified type of the power detection and control device from the big data server; and a plurality of AI engines for estimating an optimal communication interface combination corresponding to the identified type of the power detection and control device by the optimal communication interface combination analysis server, wherein the AI ​​engine The method comprises the steps of: calling from a providing server; applying data collected from the big data server and status information of the power detection control device to the called plurality of AI engines by the optimal communication interface combination analysis server to estimate an optimal module combination for the identified power detection control device type; and generating a predetermined control signal to reconfigure the communication interface of the power monitoring control device in which a fault or failure has been detected, based on the optimal communication interface combination response containing information regarding the estimated optimal communication interface combination received from the optimal communication interface combination analysis server via the AI ​​chatbot by the operating server, and transmitting the signal to the control controller, wherein the power detection control device comprises a first power monitoring control unit,2. A line switch unit including redundant first and second line switches is implemented to selectively use either the first power monitoring control unit or the second power monitoring control unit according to the control of the power monitoring control unit and the control controller, wherein the first power monitoring control unit and the second power monitoring control unit are each implemented as independent racks to receive independent power, and the line switch unit is implemented to receive both of the two independent powers to receive a common power, and the first power monitoring control unit and the second power monitoring control unit each include a CPU and a plurality of external communication modules, and when a communication failure or fault is detected within the power detection control device, whether to perform redundancy through rack switching or to perform switching to an external communication module of another rack through line switch control can be determined based on the control signal received by the control controller.

[0017] In an exemplary embodiment, the plurality of AI engines includes a fault and failure pattern estimation engine for each communication interface combination based on a pre-trained fault and failure pattern estimation model, an environmental impact prediction engine for each communication interface combination based on a pre-trained environmental impact prediction model, a traffic processing performance prediction engine for each communication interface combination based on a pre-trained communication performance prediction model, and a standard specification impact prediction engine for each communication interface based on a pre-trained standard specification impact prediction model, and the optimal communication interface combination analysis server can determine the optimal communication interface combination for the identified power monitoring and control device type based on the average value of the weights for each communication interface after applying a predetermined weight to the communication interface combinations estimated by each of the AI ​​engines.

[0018] As an example, the communication interface may include at least two of a VME (Versa Module Eurocard Bus) bus communication interface, a MODBUS communication interface, a DNP (Distributed Network Protocol) communication interface, an IEC61850 communication interface, an RS232 communication interface, an Ethernet communication interface, and a Wi-Fi communication interface.

[0020] As an example of an embodiment, the power monitoring and control device may further include a two-contact relay unit that checks the output relay contact of the external communication module connected to the CPU to determine whether there is a fault in the communication interface or communication channel of the external communication module.

[0021] As an example, the data collected from the big data server may include data regarding standard specifications and manufacturer's own specifications applied to the identified power monitoring and control device, data regarding the development / operation history of the identified power monitoring and control device, data regarding the failure and fault history by communication interface combination of the identified power monitoring and control device, and data regarding signal and traffic statistics by communication interface combination of the identified power monitoring and control device.

[0022] As an example of an embodiment, the method further includes the step of automatically performing a traffic simulation test for each external communication module within the power monitoring and control device at a specific time period set by the operating server by the control controller, wherein the control controller can perform automatic switching when a failure or malfunction of the external communication module is detected based on the results of the traffic simulation test.

[0023] In an exemplary embodiment, the status information of the power monitoring and control device includes a power monitoring and control device identifier for uniquely identifying the type of the power monitoring and control device, a fault and failure identifier for uniquely identifying the type of fault and failure, information regarding the current communication interface combination, and sensing information collected by various externally connected sensors, and the sensing information may include at least one of CPU temperature information, information regarding traffic volume per communication interface or communication channel, information regarding supply power or current / voltage, information regarding control signal and traffic data error rate, information regarding signal delay, transmission and reception buffer status information, temperature information, and humidity information.

[0024] An artificial intelligence-based railway substation power monitoring and control system according to another aspect of the present disclosure comprises: a plurality of power monitoring and control devices having different types; a control controller that monitors the status of the power monitoring and control devices in real time and generates an alarm message containing status information of the power monitoring and control device in which a communication failure or fault is detected; an operating server that, upon receiving the alarm message, generates an optimal communication interface combination analysis request message containing status information of the power monitoring and control device through an AI chatbot; and an optimal communication interface combination analysis server that, upon receiving the optimal communication interface combination analysis request message from the operating server, identifies the type of the power monitoring and control device to be analyzed based on the status information of the power monitoring and control device, obtains data corresponding to the identified type of the power monitoring and control device from a big data server, calls a plurality of AI engines from an AI engine providing server to estimate the optimal communication interface combination for the identified type of the power monitoring and control device, and applies the data collected from the big data server and the status information of the power monitoring and control device to the called plurality of AI engines to estimate the optimal communication interface combination for the identified type of the power monitoring and control device, wherein the operating server [applies] the estimated optimal Based on an optimal communication interface combination response containing information regarding a communication interface combination received from the optimal communication interface combination analysis server via the AI ​​chatbot, a predetermined control signal for reconfiguring an optimal communication interface for the power monitoring and control device in which a fault and / or failure has been detected is generated and transmitted to the control controller, and the power monitoring and control device includes a line switch unit comprising a first power monitoring and control unit, a second power monitoring and control unit, and a redundant first and second line switch implemented to selectively use either the first power monitoring and control unit or the second power monitoring and control unit according to the control of the control controller, andThe first power monitoring control unit and the second power monitoring control unit are each implemented as independent racks to receive independent power, and the line switch unit is implemented to receive both of the two independent powers to receive a common power. The first power monitoring control unit and the second power monitoring control unit each include a CPU and a plurality of external communication modules. When a communication failure or fault is detected within the power detection control device, whether to perform redundancy through rack switching or to perform switching to an external communication module of another rack through line switch control can be determined according to the control signal received by the control controller. Effects of the invention

[0025] The present invention has the advantage of providing an artificial intelligence-based railway substation power monitoring and control method, and a device and system for the same.

[0026] In addition, the present invention has the advantage of providing a power monitoring and control device capable of performing railway substation operation management more stably and efficiently by adaptively reconfiguring the communication interface through an upper-level control controller in conjunction with an upper-level operation server and / or an optimal communication interface combination analysis server when a communication failure or fault is detected while performing the function of monitoring and controlling external linked equipment such as lower-level electronic distribution panels and remote terminal units (RTUs).

[0027] In addition, the present invention has the advantage of providing an artificial intelligence-based railway substation power monitoring and control method, as well as a device and system for the same, which is capable of providing an optimized redundancy strategy for redundant input power and external interconnected communication modules by utilizing multiple AI models pre-trained based on pre-collected fault and failure history data and communication statistics data for each type of power monitoring and control device.

[0028] In addition, the present invention has the advantage of providing an artificial intelligence-based railway substation power monitoring and control method, as well as a device and system for the same, which is capable of accurately determining a faulty component by providing a control relay feedback means, as well as protecting equipment by preventing surges caused by sudden load fluctuations.

[0029] In addition, the present invention has the advantage of providing an artificial intelligence-based railway substation power monitoring and control method, as well as a device and system for the same, which is capable of collecting time-based transmission and reception statistical data for each communication channel of a redundant external communication linkage module within a railway substation power detection and control device, and applying the collected transmission and reception statistical data to an optimal communication channel automatic allocation engine generated through prior deep learning model training to provide an optimized communication environment with external linkage equipment.

[0030] In addition, the present invention has the advantage of preventing communication and power supply failures caused by firmware upgrades of power detection and control devices by manufacturer.

[0031] In addition, the present invention has the advantage of reducing spare parts costs and simplifying the configuration of the internal board by standardizing communication between the CPU and the input / output module within the power sensing and control device.

[0032] In addition, the present invention has the advantage of providing an artificial intelligence-based railway substation power monitoring and control method, as well as a device and system for the same, which can improve the communication reliability of a railway substation power detection and control system by providing a control controller (or redundant control device) equipped with an automatic switching function for a redundant CPU and an external communication module of a power monitoring and control device, as well as an automatic switching control function for a plurality of operating servers.

[0033] In addition, various effects that can be identified directly or indirectly through this document may be provided. Brief explanation of the drawing

[0034] The drawings attached to this specification are intended to provide an understanding of the present invention, to illustrate various embodiments of the invention, and to explain the principles of the invention together with the description in the specification. Figure 1 shows the overall configuration of a railway substation power monitoring and control system according to one embodiment of the present invention. FIG. 2 is a rear view of a power monitoring and control device according to one embodiment of the present invention. FIG. 3 is a block diagram illustrating the detailed configuration of a power monitoring and control device according to one embodiment of the present invention. FIG. 4 is an example of a user interface screen for verifying a communication protocol through a separate process of a railway substation power monitoring and control device capable of checking the line switching function of a redundant power input and the operation status of an output contact according to an embodiment of the present invention. FIGS. 5 and 6 are drawings for explaining the configuration of a two-contact relay of a railway substation power monitoring and control device and the method of operation thereof according to an embodiment of the present invention. FIG. 7 is an overall system configuration diagram for redundancy control of an artificial intelligence-based power monitoring and control device according to an embodiment of the present invention. FIG. 8 is a diagram illustrating the control flow of the entire system for redundancy control of an artificial intelligence-based railway substation power monitoring and control device according to an embodiment of the present invention. FIG. 9 is a block diagram showing the detailed structure of an optimal communication interface combination analysis server according to an embodiment of the present invention. FIG. 10 shows an AI engine for estimating an optimal communication interface combination according to an embodiment of the present invention. FIG. 11 is a flowchart illustrating the operation of an optimal communication interface combination analysis server according to an embodiment of the present invention. FIG. 12 is a flowchart illustrating the operation of an optimal communication interface combination analysis server according to an embodiment of the present invention. FIG. 13 is a block diagram illustrating the configuration of a power monitoring and control device according to another embodiment of the present invention. Specific details for implementing the invention

[0035] Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. It should be noted that in assigning reference numerals to the components of each drawing, the same components are given the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the embodiments of the present invention, if it is determined that a detailed description of related known components or functions would hinder understanding of the embodiments of the present invention, such detailed description is omitted.

[0036] In describing the components of the embodiments of the present invention, terms such as first, second, A, B, (a), (b), etc., may be used. These terms are intended merely to distinguish the components from other components, and the essence, order, or sequence of the components is not limited by the terms. Furthermore, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0037] Hereinafter, embodiments of the present invention will be described in detail with reference to FIGS. 1 to 13.

[0038] Figure 1 shows the overall configuration of a railway substation power monitoring and control system according to one embodiment of the present invention.

[0039] Referring to FIG. 1, the railway substation power monitoring and control system (1) may be configured to include a power monitoring and control device (or CU) (100), a control controller (or redundant control device) (200), an operation server (or control server) (300), an external connection device (400), and a communication management device (500).

[0040] The power monitoring and control device (100) may include a first power monitoring and control unit (110), a second power monitoring and control unit (120), and a line switch unit (130).

[0041] The first power monitoring and control unit (110) and the second power monitoring and control unit (120) may be configured to include identical components, and one of them may operate as a master and the other as a slave.

[0042] If a failure or malfunction occurs in the master, the redundancy control device (200) automatically switches the slave to become the master, and the master can be switched to the slave.

[0043] The first power monitoring and control unit (110) and the second power monitoring and control unit (120) may each be equipped with a plurality of communication interfaces and a communication module—i.e., a modem module—that processes the modulation / demodulation of the signals of the corresponding communication interfaces, and the internal communication interfaces and / or communication modules may be implemented to be redundant and automatically switched depending on the state of the power monitoring and control device (100). As an example, the communication interfaces may include, but are not limited to, a VME (Versa Module Eurocard Bus) bus communication interface, an RS232 communication interface, a MODBUS communication interface, a DNP (Distributed Network Protocol) communication interface, an IEC61850 communication protocol, an Ethernet communication interface, a Wi-Fi communication interface, etc., and a plurality of modems that process the signals of the corresponding communication interfaces may be provided as communication modules.

[0044] For example, the first power monitoring and control unit (110), which is the master, may be equipped with first and second communication interfaces, and a failure may occur during communication using the first communication interface. In this case, the first power monitoring and control unit may automatically switch from the first communication interface to the second communication interface to continuously maintain the communication state. If there are no longer any available communication interfaces (or communication channels) within the first power monitoring and control unit (110), the second power monitoring and control unit (120) may be switched to become the master, and communication may be maintained using the communication interface (or communication channel) of the second power monitoring and control unit (120). In the above example, the same communication protocol may be used for the first communication interface and the second communication interface, but this is merely one embodiment, and different communication protocols may be applied according to the design of a person skilled in the art. For example, the first communication interface may support an Ethernet-based LAN communication protocol, and the second communication interface may support a DNP (Distributed Network Protocol) communication protocol.

[0045] The first power monitoring and control unit (110) and the second power monitoring and control unit (120) may each be configured to include at least one of a power module, a CPU module, a plurality of External System Input / Output (ESIO) modules, a hub module, a digital input / output module including a plurality of input / output ports, and an analog input module including a plurality of input ports.

[0046] The first power monitoring and control unit (110) and the second power monitoring and control unit (120) are each implemented as independent racks to receive independent power, and the line switching unit (130) can be implemented to receive both of the two independent powers and receive a common power.

[0047] The control controller (200) can control the power monitoring and control device (100) according to its own control logic and / or control signals from the operating server (300).

[0048] The operating server (300) is connected to the power monitoring and control device (100) and the control controller (200), and can operate and manage the power monitoring and control device (100) by monitoring the status of the power monitoring and control device (100) in real time.

[0049] The power monitoring and control device (100) can perform remote control and monitoring by transmitting a predetermined control signal to digital power protection monitoring and control devices (hereinafter referred to as "IEDs") and tunnel lighting control devices, etc., such as each station, each station's receiving room and electrical room receiving and distribution panel, based on control commands transmitted from the operating server (300)—e.g., SCADA—and the small-scale power distribution facility of the distribution station—hereinafter referred to as "small-scale device." That is, the power monitoring and control device (100) can remotely control and monitor external connection equipment (400) according to the control commands of the operating server (300). As an example, the external connection equipment (400) may include, but is not limited to, transformers, RTUs, tunnel lighting equipment, IoT environment sensors, etc.

[0050] The power monitoring and control device (100) may record and maintain information regarding data collected from external connection equipment (400) and data and control signals transmitted and received with the control controller (200) and the operation server (300) in a separate internal storage device—e.g., including an SD card—and may extract and transmit information recorded in the storage device upon request from the operation server (300).

[0051] The power monitoring and control device (100) may relay control signals transmitted and received from the power monitoring and control device (100) to the communication management device (500) using a provided two-contact relay.

[0052] The power monitoring and control device (100) may also provide a protocol conversion function between the external connection equipment (400) and the operation server (300) or control controller (200).

[0053] The control controller (200) may be implemented as an integrated unit inside the power monitoring control device (100) or as a separate device, and may perform the function of a controller that controls the operation of the power monitoring control device (100). The control controller (200) may be connected to the operation server (300) and control the power monitoring control device (100) based on control signals transmitted from the operation server (300), and may control the power monitoring control device (100) through its own control, which may be determined according to the control mode setting in the operation server (300).

[0054] The operating server (300) is connected to the power monitoring and control device (100) and the control controller (200), and performs the function of operating and managing the power monitoring and control device (100) by monitoring the current status of the power monitoring and control device (100), and can collect and analyze statistical data based on signals transmitted from the power monitoring and control device (100), but this is optional.

[0055] An operating server (300) according to an embodiment of the present disclosure may include first to N operating servers, and some of the first to N operating servers may function as backup servers for redundancy. A control controller (200) may automatically perform redundancy control for an operating server (300) linked with a power monitoring and control device (100) based on the communication status of the operating server (300).

[0056] As described above, the control controller (200) has the advantage of improving communication reliability as a redundant control device that controls automatic switching of the redundant CPU and external linkage communication module of the power monitoring and control device (100) as well as automatic switching of the operating server (300).

[0057] FIG. 2 is a rear view of a power monitoring and control device according to one embodiment of the present invention.

[0058] Referring to FIG. 2, the power monitoring and control device (100) includes a first power monitoring and control unit (110), a second power monitoring and control unit (120), and a line switch unit (130), and each power monitoring and control unit (110, 120) may be configured to include a power supply unit (111, 121), a CPU (112, 122), a hub (113, 123), a digital input / output unit (114, 124), and an analog input unit (115, 125).

[0059] Additionally, the power monitoring and control unit (110, 120) is equipped with an input / output board (IOM; Input Output Mother Board) including a digital input / output unit (114, 124) and an analog input unit (115, 125), and may be structured to have one or more ports capable of inputting and outputting digital signals and inputting analog signals to the control controller (200) and the operating server (300).

[0060] That is, the power monitoring and control device (100) may be structured such that the power supply unit (111), CPU (112), hub (113), digital input / output unit (114), and analog input unit (115) included in the first power monitoring and control unit (110) are provided on one board, and the power supply unit (121), CPU (122), hub (123), digital input / output unit (124), and analog input unit (125) included in the second power monitoring and control unit (120) are provided on another board, and a line switch unit (130; Line Switch; FailOver) is disposed between the first power monitoring and control unit (110) and the second power monitoring and control unit (120).

[0061] Here, the power supply unit (111) included in the first power monitoring and control unit (110) may be structured to supply power to the CPU (112), hub (113), digital input / output unit (114), and analog input unit (115) included in the first load switching unit (110), and the power supply unit (121) included in the second power monitoring and control unit (120) may be structured to supply power to the CPU (122), hub (123), digital input / output unit (124), and analog input unit (125) included in the second power monitoring and control unit (120).

[0062] The line switch unit (130) operates by receiving power in common from the power supply unit (111) of the first power monitoring control unit (110) and the power supply unit (121) of the second power monitoring control unit (120). In order to enable normal operation even when repairing the motherboard by turning the power supply unit (111) of the first power monitoring control unit (110) and the power supply unit (121) of the second power monitoring control unit (120) On / Off during maintenance, the control controller (200) selects either the CPU (112) of the first power monitoring control unit (110) or the CPU of the second power monitoring control unit (120) (or the control controller (200) randomly designates one), grants authority to the selected CPU as the main, and grants authority to the remaining CPU as the sub. Then, the power monitoring control unit including the CPU granted authority as the main is used, but if the CPU (or power monitoring control unit) granted authority as the main has an abnormality When the control controller (200) (or the operation server (300)) determines, sub-authority is granted to the CPU that was granted main authority, and the remaining CPU is granted main authority, thereby enabling automatic switching of CPUs.

[0063] Since the power monitoring and control device (100) uses a common power supply through the line switch unit (130), when each control signal is pulled up, a 'Low' signal is generated in the other control unit, thereby preventing the switching of the circuit. Accordingly, the line switch unit (130) of the power monitoring and control device (100) is connected to both the power supply unit (111) of the first power monitoring and control unit (110) and the power supply unit (121) of the second power monitoring and control unit (120) to use a common power supply, and since the power monitoring and control units (110, 120) each use their respective power supply units (111, 121) to process the control signal, the power monitoring and control device (100) can operate without problems even when the power on either the left or right side is turned off.

[0064] Additionally, the power monitoring and control device (100) may be structured so that operation within the same sub-rack uses a common power source, and the control power pull-up can be controlled independently by using the power supply unit (111) of the first power monitoring and control unit (110) or the power supply unit (121) of the second power monitoring and control unit (120), respectively. That is, by implementing the operation of the power monitoring and control device (100) using a common power source and the control using a power source of either the left or right side, normal operation can be maintained even if the power supply to either the left or right board is cut off.

[0065] A control controller (200) according to an embodiment can determine whether the CPU (112, 122) is faulty by transmitting a first control signal to at least one of the CPU (112) of the first power monitoring control unit (110) or the CPU (122) of the second power monitoring control unit (120) through an input / output board (116, 126). For example, the first control signal may be a Keep Alive signal, but is not limited thereto.

[0066] Additionally, if the control controller (200) determines that either the input / output board (116) of the first power monitoring control unit (110) or the input / output board (126) of the second power monitoring control unit (120) has failed, it transmits a predetermined second control signal to the input / output board determined to have failed and to the other input / output boards, respectively, to check whether the control signal is processed in the same way, and can determine whether the input / output board has failed based on the result of the check. For example, the second control signal may be a power control signal for controlling the output power of the load switch (110), but is not limited thereto.

[0067] Meanwhile, the power monitoring and control device (100) may be configured to further include a LAN port (112b, 122b) provided in a CPU (112, 122) and a mirroring port (117, 127) capable of mirroring, provided in a hub (113) provided in the first power monitoring and control unit (110) and a hub (123) provided in the second power monitoring and control unit (120), respectively.

[0068] At this time, the power monitoring and control device (100) is connected to the operation server (300) through mirroring ports (117, 127), and the operation server (300) can provide real-time communication protocol status information to the operator through a predetermined user interface screen displayed on the operator console by monitoring the operation status of the communication protocol installed in the power monitoring and control device (100) in real time as shown in FIG. 4 through a built-in separate verification process.

[0069] Referring to FIGS. 3 and 5, the relay unit (150) can perform the function of a contact distributor by connecting the digital input / output unit (114) of the first power monitoring and control unit (110) and the digital input / output unit (124) of the second power monitoring and control unit (120).

[0070] The relay unit (150) can provide a means to determine whether there is a fault between the communication module (112a, 122a) connected to the CPU (112, 122) and the power monitoring and control device (100) by checking the relay contact of the output from the communication module (112a, 122a) connected to the CPU (112, 122). Here, the communication module (112a, 122a) connected to the CPU (112, 122) can provide a communication interface for the operating server (300), external linkage equipment (400), and communication management device (500).

[0071] The relay unit (150) may be implemented to have two contacts as illustrated in FIGS. 5 and 6. More specifically, when the control controller (200) transmits a control signal to the first power monitoring control unit (110) and / or the second power monitoring control unit (120), one of the two contacts of the relay unit (150) is used for transmitting the control signal to the terminal board—e.g., the communication management device (500)—and the other contact is used for feedback of the control signal to the control board within the power monitoring control unit (110 or 120)—e.g., the CPU (112, 122)—so that the control operation can be verified in a dual manner on the control board and the terminal board. At this time, the operation result may be provided separately to the operation server (300).

[0072] When the relay unit (150) determines that a failure has occurred in the power monitoring and control device (100), it is configured to be visually identifiable through a lamp built into the relay unit (150), and the power monitoring and control device (100) can transmit a corresponding failure alarm signal to the operating server (300) when a failure is detected.

[0073] In addition, according to one embodiment of the present invention, spare parts costs can be reduced by standardizing communication between the CPU and IO, and the board can be simplified by standardizing integration.

[0074] In addition, according to one embodiment of the present invention, a control controller (200) can transmit a control signal to the CPU or the input / output board, respectively, to determine whether the CPU or the input / output board is faulty.

[0075] FIG. 7 is a configuration diagram of an artificial intelligence-based railway substation power monitoring and control system according to an embodiment of the present invention.

[0076] FIG. 8 is a diagram illustrating the control flow of an artificial intelligence-based railway substation power monitoring and control system according to an embodiment of the present invention.

[0077] Referring to FIGS. 7 and 8, the railway substation power monitoring and control system (700) may include a power monitoring and control device (100), a control controller (200), an operation server (300), an external connection device (400), a communication management device (500), an operation server console (710), an AI chatbot (720), an optimal communication interface combination analysis server (730), an AI engine providing server (740), a big data server (750), and a network (760). For example, referring to FIG. 8, the railway substation power monitoring and control system (700) may be divided into an on-premise area (830), a cloud service provider area (820), and an operator area (810). For example, the on-premise area (830) may include a power monitoring and control device (100), a control controller (200), an external connection device (400), and a communication management device (500), the cloud service provider area (820) may include an AI chatbot (720), an optimal communication interface combination analysis server (730), an AI engine providing server (740), and a big data server (750), and the operator area (810) may include an operation server (330) and an operation server console (710), but is not limited thereto, and the area design may vary depending on the design of the person skilled in the art.

[0078] The operating server (300) according to the embodiment may be provided in a main / backup central control center and a small-scale control center, and the control controller (300) may perform redundancy control for the operating server (300) based on the communication status between the operating server (300) and the power monitoring and control device (200).

[0079] The power monitoring and control device (100) according to the embodiment may relay control signals transmitted and received from the power monitoring and control device (100) to the communication management device (500) using a provided two-contact relay. Here, the control signal may include not only the control signal received from the control controller (200) but also the control signal transmitted to the external linkage equipment (400).

[0080] The power monitoring and control device (100) according to the embodiment may be composed of first to N power monitoring and control devices having various shapes and specifications from various manufacturers. For example, the power monitoring and control device (100) may have different ratings and structures depending on the location and purpose of installation.

[0081] Hereinafter, with reference to FIG. 8, the operation of the railway substation power monitoring and control system (700) according to the present disclosure will be described in detail.

[0082] The control controller (200) monitors the status of the power monitoring control device (100) and, when a fault or failure is detected in the monitoring result, can transmit a power monitoring control device status report message to the operation server (300) to report the fault or failure of the power monitoring control device (100). For example, the power monitoring control device status report message may include a power monitoring control device identifier for uniquely identifying the type of the power monitoring control device, a fault and failure identifier for uniquely identifying the type of the fault or failure, information regarding the current communication interface combination, and sensing information collected by various sensors equipped in the power monitoring control device (100) and external linkage equipment (400). For example, the sensing information may include CPU temperature information, information on traffic volume per communication interface (or communication channel), information on supply power (or current / voltage), information on the error rate of control signals and traffic data, information on signal delay, transmission / reception buffer status information, temperature information and humidity information, but is not limited thereto.

[0083] When the operation server (300) receives a power monitoring and control device status report message, it can display power monitoring and control device status information on the operation server console (710) through a predetermined user interface screen.

[0084] After checking the status information of the power monitoring and control device on the operation server console (710), the operator can run the AI ​​chatbot (720) to query the optimal communication interface combination for failure and fault recovery. At this time, the operation server (740) can transmit the information included in the received power monitoring and control device status report message to the optimal communication interface combination analysis server (730) through the AI ​​chatbot (720).

[0085] The optimal communication interface combination analysis server (730) can identify the power monitoring and control device to be analyzed based on the power monitoring and control device status report information, and then collect data corresponding to the identified power monitoring and control device from the big data server (750). For example, the data collected from the big data server (750) may include, but is not limited to, data regarding the standard specifications and manufacturer's own specifications applicable to the power monitoring and control device, data regarding the development / work history of the power monitoring and control device and external linked equipment connected to the power monitoring and control device, failure and fault history data by communication interface combination, and signal and traffic statistics data by communication interface combination.

[0086] The optimal communication interface combination analysis server (730) can perform multi-LLM-based power monitoring and control device optimal communication interface combination estimation by calling a plurality of analysis engines from the AI ​​engine providing server (730) to estimate an optimal communication interface combination corresponding to the type of identified power monitoring and control device, and then applying data collected from the big data server (750) and power monitoring and control device status information received from the operation server (300) to the called plurality of analysis engines. Referring to FIG. 10, the analysis engine according to the embodiment may include a failure and failure pattern estimation engine (1010) for each communication interface combination based on a pre-learned failure and failure pattern estimation model (1011), an environmental impact prediction engine (1020) for each communication interface combination based on a pre-learned environmental impact prediction model (1021), a traffic processing performance prediction engine (1030) for each communication interface combination based on a pre-learned communication performance prediction model (1031), and a standard specification impact prediction engine (1040) for each communication interface based on a pre-learned standard specification impact prediction model (1041).

[0087] When the optimal communication interface combination analysis server (730) transmits the estimated optimal communication interface combination estimation result to the operation server (300) via the AI ​​chatbot (720), the operation server (300) can generate a redundancy control signal corresponding to the optimal communication interface combination estimation result and transmit it to the control controller (200).

[0088] The control controller (200) can optimize the communication environment of the power monitoring and control device and perform fault and failure recovery operations by transmitting a switching control signal to the corresponding power monitoring and control device according to the redundancy control signal received from the operation server (300). The control controller (200) can monitor whether the fault and failure recovery has been successfully completed and transmit the results of the fault and failure recovery to the operation server (300). The operation server (300) can register information regarding the history of the fault and failure recovery in the big data server (750).

[0089] A control controller (200) according to an embodiment may perform a traffic simulation test to analyze traffic performance by communication interface combination for a newly added power monitoring and control device according to a predetermined control signal from an operation server (810). When the control controller (200) transmits the traffic simulation test results to a big data server (750), the big data server (750) may generate or update traffic statistical data by communication interface combination for the power monitoring and control device based on the received traffic simulation test results. For example, the traffic statistical data may include, but is not limited to, Bit Error Rate (BER) and / or Block Error Rate (BLER) related to traffic transmission errors, Network Transmission Delay, Processing Delay in the CPU and / or modem, Maximum Throughput, and transmit / receive buffer status. As an example, the traffic simulation test may be set by the operation server (300) to be automatically performed during a time when the train is not in operation. For example, a traffic simulation test can be set to be performed during the early morning hours when there is no train operation.

[0090] As an example of implementation, the control controller (200) may perform automatic redundancy control when a failure and / or malfunction of the power monitoring and control device is detected during a traffic simulation test, thereby performing prior safety measures to ensure there are no problems when the train operation resumes.

[0091] The operator may also register data regarding standard specifications and manufacturer's own specifications applied to newly added / installed power monitoring and control devices to the big data server (750) through the operation server console (710).

[0092] In addition, the operator may register data regarding the current firmware version and firmware modification history of the power monitoring and control device to the big data server (750) through the operation server console (710).

[0093] FIG. 9 is a block diagram showing the detailed structure of an optimal communication interface combination analysis server according to an embodiment of the present invention.

[0094] Referring to FIG. 9, the optimal communication interface combination analysis server (730) may be configured to include an optimal communication interface combination request receiving unit (910), a power monitoring and control device type identification unit (920), a data extraction unit (930), an AI engine calling unit (940), a multi-LLM-based optimal communication interface combination determination unit (950), and an analysis result transmission unit (960).

[0095] The optimal communication interface combination request receiving unit (910) can receive an optimal communication interface combination request message containing power monitoring and control device status report information from the operating server (740) via the AI ​​chatbot (720).

[0096] The power monitoring and control device type identification unit (920) can identify the type of the power monitoring and control device to be analyzed based on the power monitoring and control device status report information. Here, the type of the power monitoring and control device can be uniquely identified based on the manufacturer, shape, specifications, etc.

[0097] The data extraction unit (930) can extract data corresponding to the type of the identified power monitoring and control device from the big data server (750). For example, the data extracted from the big data server (750) may include, but is not limited to, data regarding the standard specifications and manufacturer's own specifications for the power monitoring and control device, data regarding the development / work history of external linkage equipment connected to the power monitoring and control device and the power detection and control device, data regarding the failure and fault history by power monitoring and control device communication interface combination, and data regarding signal and traffic statistics by power monitoring and control device communication interface combination.

[0098] The AI ​​engine calling unit (940) can call a plurality of analysis engines from the AI ​​engine providing server (730) to estimate an optimal communication interface combination corresponding to the type of the identified power monitoring and control device.

[0099] The multi-LLM-based optimal communication interface combination determination unit (950) can perform the estimation of the multi-LLM-based optimal communication interface combination of a power monitoring and control device by applying data collected from the big data server (750) and power monitoring and control device status information received from the operation server (300) to a plurality of called analysis engines. For example, the multi-LLM-based optimal communication interface combination determination unit (950) can determine the optimal communication interface combination for redundancy of the corresponding power monitoring and control device type based on the average value of the weights for each communication interface after applying a predetermined weight to the communication interface combinations estimated by each AI engine.

[0100] The analysis result transmission unit (960) can transmit the optimal communication interface combination estimation result to the operation server (300) via the AI ​​chatbot (720).

[0101] FIG. 11 is a flowchart illustrating the operation of an optimal communication interface combination analysis server according to an embodiment of the present invention.

[0102] Referring to FIG. 11, the optimal communication interface combination analysis server (730) can receive an optimal communication interface combination analysis request message containing power monitoring and control device status information from the operation server (300) via the AI ​​chatbot (720) (S1110).

[0103] The optimal communication interface combination analysis server (730) can identify the type of power monitoring and control device based on the power monitoring and control device status information and collect related data from the big data server (750) (S1120).

[0104] The optimal communication interface combination analysis server (730) can connect to the AI ​​engine providing server (740) and call a plurality of AI engines to estimate the optimal communication interface combination corresponding to the identified power monitoring and control device type (S1130).

[0105] The optimal communication interface combination analysis server (730) can perform an optimal communication interface combination estimation operation based on multi-LLM by applying collected data and power monitoring and control device status information to multiple AI engines (S1140). For example, the optimal communication interface combination analysis server (730) can determine the optimal communication interface combination for redundancy of the corresponding power monitoring and control device type based on the average value of the weights for each communication interface after applying a predetermined weight to the communication interface combinations estimated by each AI engine.

[0106] The optimal communication interface combination analysis server (730) can send an optimal communication interface combination analysis result message containing the optimal communication interface combination estimation result to the operation server (300) via the AI ​​chatbot (720) (1150).

[0107] FIG. 11 is a flowchart illustrating the operation of a railway substation power monitoring and control system according to an embodiment of the present invention.

[0108] Referring to FIG. 11, the control controller (200) monitors the operating status of the power monitoring control device (100) in real time and can detect failures and / or malfunctions of the power monitoring control device (100) by communication interface based on the monitoring results.

[0109] If a communication interface failure and / or fault of the power monitoring and control device (100) is detected, a failure and fault notification message containing current status information of the power monitoring and control device (100) can be transmitted to the operation server (300).

[0110] The operating server (300) can transmit an optimal communication interface combination analysis request message containing current status information of the power monitoring and control device (100) that has detected a fault and / or failure to the optimal communication interface combination analysis server (730) through integration with the AI ​​chatbot (720).

[0111] The optimal communication interface combination analysis server (730) can identify the type of power monitoring and control device to be analyzed based on the power monitoring and control device status information, and then collect data corresponding to the identified power monitoring and control device type from the big data server (750).

[0112] The optimal communication interface combination analysis server (730) can perform the task of estimating the optimal communication interface combination of a power monitoring and control device based on multi-LLM by calling a plurality of analysis engines from the AI ​​engine providing server (730) to estimate the optimal communication interface combination corresponding to the type of the identified power monitoring and control device, and then applying the data collected from the big data server (750) and the power monitoring and control device status information received from the operation server (300) to the called plurality of analysis engines.

[0113] When the optimal communication interface combination analysis server (730) transmits the optimal communication interface combination estimation result to the operation server (300) via the AI ​​chatbot (720), the operation server (300) can generate a redundancy control signal corresponding to the optimal communication interface combination estimation result and transmit it to the control controller (200).

[0114] The control controller (200) can transmit a switching control signal—or a redundancy control signal—to the corresponding power monitoring and control device according to the redundancy control signal received from the operation server (300) to optimize the communication environment of the power monitoring and control device and perform fault and failure recovery operations.

[0115] FIG. 13 is a block diagram illustrating the configuration of a power monitoring and control device according to another embodiment of the present invention.

[0116] Referring to FIG. 13, the power monitoring and control device (100) may be configured to include a main rack (1310), a sub-rack (1320), a switch rack (1330), and a storage unit (1340).

[0117] The main rack (1310) and the sub rack (1320) can each operate by receiving power from independent power supply units (1311, 1321). The switch rack (1330) can be connected to both the power supply unit (1311) of the main rack (1310) and the power supply unit (1321) of the sub rack (1320) to form a common power supply.

[0118] The main rack (1310) and the sub rack (1320) each include a power supply unit (1311, 1321) and a control and communication unit (1312, 1322), and the control and communication unit (1312, 1322) may include a CPU (1313, 1323), a first external communication module (1314, 1324), and a second external communication module (1315, 1325). The first external communication module (1314, 1324) and the second external communication module (1315, 1325) may be duplicated within the same rack through switch control, and as needed, the CPU (1313, 1323) may use an external communication module of another rack through switch control. The control communication units (1312, 1322) provided in the main rack (1310) and sub rack (1320) can correspond to the first power monitoring control unit (110) and the second power monitoring control unit (120) of FIG. 1, respectively.

[0119] For example, if a failure or malfunction is detected while the CPU (1313) of the main rack (1310) is communicating with an external device through the first external communication module (1314), communication can be maintained by switching to the second external communication module (1315) of the same rack. If normal communication is not possible even after the CPU (1313) is switched to the second external communication module (1315), communication with the external equipment can be maintained through the first external communication module (1325) of the sub-rack (1320) by performing only line switch control provided in the switch rack (1330) without rack switching.

[0120] In an example, when a communication failure or fault is detected, whether to perform redundancy through rack switching or to perform switching to an external communication module of another rack through line switch control can be determined by a control command from a higher-level device—e.g., a control controller (200). For example, when a communication failure or fault is detected, the control controller (200) may request an analysis of an optimal communication interface combination from an optimal communication interface combination analysis server (730), and depending on the optimal communication interface combination analyzed by the optimal communication interface combination analysis server (730), redundancy through rack switching or switching to an external communication module of another rack through line switch control can be performed.

[0121] According to the embodiment, the main rack (1310) and the sub-rack (1310) may be configured with different manufacturers and specifications. In this case, the types and performance of the communication interfaces provided by the main rack (1310) and the sub-rack (1310) may differ from each other. In this case, when a communication failure or fault is detected, the control controller (200) may directly (or via the operation server (300)) link with the optimal communication interface combination analysis server (730) to request an analysis of the optimal communication interface combination corresponding to the current state of the power monitoring and control device (100), thereby adaptively controlling the communication interface with external equipment to maintain an optimal communication environment.

[0122] Generally, in the case of redundancy through rack switching, the time required for firmware booting and status information transmission between racks according to main switching—i.e., rack redundancy control—is longer than the time required to connect external communication modules of other racks through simple line switch control. Therefore, the optimal communication interface combination analysis server (730) can determine the optimal communication interface combination that can guarantee communication safety and performance through deep learning analysis based on the current status of the power monitoring and control device (100) and previously collected big data.

[0123] The switch rack (1330) may include a redundant first line switch (1331) and a second line switch (1332).

[0124] The control controller (200) can monitor the real-time status of each communication interface and, if a failure or malfunction of the line switch currently in use is detected, transmit a line switch switching command to the power monitoring and control device (100) to perform line switch switching.

[0125] The control and communication unit (1312, 1322) can generate quality statistical data for signals and traffic by communication interface (and / or by communication channel and / or by equipment and / or by time period and / or by date) and store it in the storage unit (1340). For example, the storage unit (1340) may use removable memory—e.g., SD card, hard disk—but is not limited thereto, and may use built-in memory connected to the CPU.

[0126] The operator can directly check the data by connecting the SD card to their computer at the site, and can also obtain and check the data stored in the storage unit (1340) of the corresponding power monitoring and control device (100) by selecting a specific menu on the screen of the operation server console (710). In another embodiment, the power monitoring and control device (100) can automatically upload the data stored in the storage unit (1340) to the operation server (300) according to a preset data upload cycle, and the optimal communication interface combination analysis server (730) can receive the communication statistics data uploaded by the power monitoring and control device (100) from the operation server (300) and update the big data server (750). The AI ​​engine providing server (730) can periodically perform retraining using the updated data of the big data server (750) to update the multi-LLM model for estimating the optimal communication interface combination.

[0127] The above description is merely an illustrative explanation of the technical concept of the present invention, and those skilled in the art to which the present invention pertains will be able to make various modifications and variations within the scope of the essential characteristics of the present invention.

[0128] Accordingly, the embodiments disclosed in this invention are intended to illustrate, not limit, the technical concept of the invention, and the scope of the technical concept of the invention is not limited by these embodiments. The scope of protection of this invention shall be interpreted by the claims below, and all technical concepts within an equivalent scope shall be interpreted as being included within the scope of rights of this invention.

Claims

Claim 1 A method for an artificial intelligence-based railway substation power monitoring and control system comprising external interconnection equipment, a power monitoring and control device, a control controller, an operating server, an optimal communication interface combination analysis server, a big data server, and an AI engine providing server that are interconnected via a network, comprising: a step of transmitting an alarm message containing status information of a power monitoring and control device in which a communication failure and / or fault of the power monitoring and control device is detected by the control controller to the operating server based on the detection of said failure and / or fault; a step of transmitting an optimal module combination analysis request message containing status information of the power monitoring and control device to the optimal communication interface combination analysis server by the operating server via an AI chatbot; a step of identifying the type of the power monitoring and control device to be analyzed by the optimal communication interface combination analysis server based on the status information of the power monitoring and control device and obtaining data corresponding to the identified type of the power monitoring and control device from the big data server; and a step of obtaining a plurality of AI engines from the AI ​​engine providing server for estimating an optimal communication interface combination corresponding to the identified type of the power monitoring and control device by the optimal communication interface combination analysis server. The method comprises: a step of calling; a step of estimating an optimal module combination for the identified power monitoring and control device type by applying data collected from the big data server and status information of the power monitoring and control device to the called plurality of AI engines by the optimal communication interface combination analysis server; and a step of generating a predetermined control signal to reconfigure the communication interface of the power monitoring and control device in which a fault or failure has been detected, based on an optimal communication interface combination response containing information regarding the estimated optimal communication interface combination received from the optimal communication interface combination analysis server via the AI ​​chatbot by the operating server, and transmitting the signal to the control controller, wherein the power monitoring and control device comprises a first power monitoring and control unit,2. A line switch unit including redundant first and second line switches is implemented to selectively use either the first power monitoring control unit or the second power monitoring control unit according to the control of the power monitoring control unit and the control controller, wherein the first power monitoring control unit and the second power monitoring control unit are each implemented as independent racks to receive independent power, and the line switch unit is implemented to receive both of the two independent power supplies to receive a common power supply, wherein the first power monitoring control unit and the second power monitoring control unit each include a CPU and a plurality of external communication modules, and when a communication failure or fault is detected within the power monitoring control device, whether to perform redundancy through rack switching or to perform switching to an external communication module of another rack through line switch control is determined based on the control signal received by the control controller, and wherein the plurality of AI engines include a fault and failure pattern estimation engine for each communication interface combination based on a pre-trained fault and failure pattern estimation model, and for each communication interface combination based on a pre-trained environmental impact prediction model A method comprising an environmental impact prediction engine, a traffic processing performance prediction engine for each communication interface combination based on a pre-trained communication performance prediction model, and a standard specification impact prediction engine for each communication interface based on a pre-trained standard specification impact prediction model, wherein the optimal communication interface combination analysis server determines the optimal communication interface combination for the identified power monitoring and control device type based on the average value of the weights for each communication interface after applying a predetermined weight to the communication interface combinations estimated by each of the AI ​​engines. Claim 2 delete Claim 3 In claim 1, the communication interface comprises at least two of the following: a VME (Versa Module Eurocard Bus) bus communication interface, a MODBUS communication interface, a DNP (Distributed Network Protocol) communication interface, an IEC61850 communication interface, an RS232 communication interface, an Ethernet communication interface, and a Wi-Fi communication interface. Claim 4 A method according to claim 1, wherein the power monitoring and control device further includes a two-contact relay unit that checks the output relay contact of the external communication module connected to the CPU to determine whether there is a fault in the communication interface or communication channel of the external communication module. Claim 5 A method according to claim 1, wherein the data collected from the big data server includes data regarding standard specifications and manufacturer's own specifications applied to the identified power monitoring and control device, data regarding the development / operation history of the identified power monitoring and control device, data regarding the failure and fault history by communication interface combination of the identified power monitoring and control device, and data regarding signal and traffic statistics by communication interface combination of the identified power monitoring and control device. Claim 6 A method according to claim 1, further comprising the step of automatically performing a traffic simulation test for each external communication module within the power monitoring and control device by means of the control controller at a specific time period set by the operating server, wherein the control controller performs automatic switching when a failure or fault of the external communication module is detected based on the results of the traffic simulation test. Claim 7 In claim 1, the state information of the power monitoring and control device comprises a power monitoring and control device identifier for uniquely identifying the type of the power monitoring and control device, a fault and failure identifier for uniquely identifying the type of fault and failure, information regarding the current communication interface combination, and sensing information collected by various externally connected sensors, wherein the sensing information comprises at least one of CPU temperature information, information regarding traffic volume per communication interface or communication channel, information regarding supply power or current / voltage, information regarding control signal and traffic data error rate, information regarding signal delay, transmit / receive buffer status information, temperature information, and humidity information. Claim 8 In an artificial intelligence-based railway substation power monitoring and control system, a plurality of power monitoring and control devices having different types; a control controller that monitors the status of the power monitoring and control devices in real time and generates an alarm message containing status information of the power monitoring and control device in which a communication failure or fault is detected; and an operating server that, upon receiving the alarm message, generates an optimal communication interface combination analysis request message containing status information of the power monitoring and control device through an AI chatbot. and upon receiving an optimal communication interface combination analysis request message from the operating server, the optimal communication interface combination analysis server identifies the type of the power monitoring and control device to be analyzed based on the status information of the power monitoring and control device, obtains data corresponding to the identified type of the power monitoring and control device from a big data server, calls a plurality of AI engines from an AI engine providing server to estimate the optimal communication interface combination for the identified type of the power monitoring and control device, and applies the data collected from the big data server and the status information of the power monitoring and control device to the called plurality of AI engines to estimate the optimal communication interface combination for the identified type of the power monitoring and control device; wherein the operating server generates a predetermined control signal to reconstruct the optimal communication interface for the power monitoring and control device in which a fault and / or failure has been detected, based on the optimal communication interface combination response containing information regarding the estimated optimal communication interface combination received from the optimal communication interface combination analysis server via the AI ​​chatbot, and transmits it to the control controller, and the power monitoring and control device comprises a first power monitoring and control unit, a second power monitoring and control unit, and the A line switch unit including redundant first and second line switches implemented to allow selective use of either the first power monitoring control unit or the second power monitoring control unit according to the control of a control controller,The first power monitoring control unit and the second power monitoring control unit are each implemented as independent racks to receive independent power, and the line switch unit is implemented to receive both of the two independent power supplies to receive a common power supply; the first power monitoring control unit and the second power monitoring control unit each include a CPU and a plurality of external communication modules; when a communication failure or fault is detected within the power monitoring control device, whether to perform redundancy through rack switching or to perform switching to an external communication module of another rack through line switch control is determined according to the control signal received by the control controller; the plurality of AI engines include a failure and fault pattern estimation engine for each communication interface combination based on a pre-trained failure and fault pattern estimation model, an environmental impact prediction engine for each communication interface combination based on a pre-trained environmental impact prediction model, a traffic processing performance prediction engine for each communication interface combination based on a pre-trained communication performance prediction model, and a standard specification impact prediction engine for each communication interface based on a pre-trained standard specification impact prediction model; and the optimal communication interface combination analysis server each of the AI A system characterized by determining the optimal communication interface combination for the identified power monitoring and control device type based on the average value of the weights for each communication interface after applying a predetermined weight to the communication interface combination estimated by the engine.

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