Remote failure analysis method for renewable energy generation system, and apparatus and system therefor

Abstract

The present invention relates to a remote failure analysis method for a renewable energy generation generation system, and an apparatus and system therefor. According to the present invention, a method for a power generation facility remote failure analysis system linked to a renewable energy generation facility and a user device through a network comprises the steps of: receiving a measurement value corresponding to the renewable energy generation facility; classifying the received measurement values in component units and aligning same in time series; storing the time-series aligned measurement values in a database; diagnosing whether a power generation facility is abnormal on the basis of the stored measurement values; generating event data when the abnormality of the power generation facility is detected and storing same in the database; and transmitting an abnormality detection alarm message to the user device, wherein, according to a request for detailed diagnosis information from the user device, an event history output window and a history chart output window generated on the basis of the database are displayed on a web or app screen of the user device.

Description

Remote fault analysis method for renewable energy generation systems and device and system for the same

[0001] The present invention relates to a remote facility failure analysis technology, and more specifically, to a remote facility failure analysis technology for identifying the cause of a failure occurring in a renewable energy generation facility at a remote location more quickly and efficiently by providing a detailed diagnostic screen in which failure-related event data and historian log data are synchronized.

[0002] Since the Industrial Revolution, human activities have contributed to the rapid increase in the concentration of greenhouse gases in the atmosphere, particularly carbon dioxide. Climate change resulting from global warming is emerging as a global issue, with numerous scientific studies indicating the urgency of its resolution.

[0003] Over the past few decades, the international community has held numerous conferences on climate issues. A significant outcome of global climate change negotiations and cooperation is the “Kyoto Protocol,” signed in 1997, under which more than 140 countries are taking measures to reduce carbon emissions. The Carbon Emission Trading Scheme (ETS), derived from the “Kyoto Protocol,” is considered one of the most effective means of emission reduction.

[0004] Recently, countries are increasing investment in eco-friendly renewable energy facilities as a major means to reduce carbon emissions.

[0005] Failures in eco-friendly renewable energy generation facilities cause unintended shutdowns and result in significant financial losses for the owners. Therefore, it is crucial to prevent operational interruptions by accurately and rapidly detecting and analyzing abnormal phenomena occurring in the facilities.

[0006] However, in order to accurately identify the cause of an abnormality in power generation facilities, technology is required to efficiently analyze changes in events and / or measurements that occurred before and after the point in time when the abnormality was detected.

[0007] The objective of the present invention is to provide a remote fault analysis method for a new and renewable energy generation system and an apparatus and system for the same.

[0008] Another objective of the present invention is to provide a remote fault analysis method for a renewable energy generation system, and an apparatus and system for the same, which enables faster and more efficient analysis of the causes of faults occurring in a renewable energy generation facility at a remote location by providing a detailed diagnostic screen in which fault-related event data and historian log data are synchronized.

[0009] Another objective of the present invention is to provide an operation management platform for eco-friendly renewable energy power generation facilities that enables the operator of the power generation facility to more effectively identify the causes of failures and abnormalities by quickly and conveniently querying operation data around a desired point in time, by maintaining event data and historian log data in a database after chronologically aligning and synchronizing them, and then simultaneously providing an event history output screen and a historian log output screen based on the synchronized data when an abnormality is detected in the power generation facility.

[0010] 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.

[0011] A method in a power generation facility remote fault analysis system linked with a renewable energy power generation facility and a user device through a network according to one aspect of the present disclosure comprises the steps of receiving a measurement value corresponding to the renewable energy power generation facility, classifying the received measurement value by component and sorting it in a time series, storing the time-series sorted measurement value in a database, diagnosing whether there is an abnormality in the power generation facility based on the stored measurement value, generating event data and storing it in the database when an abnormality is detected in the power generation facility, and transmitting an abnormality detection alarm message to the user device, wherein an event history output window and a historian chart output window generated based on the database may be displayed on the web or app screen of the user device in response to a request for detailed diagnosis information from the user device.

[0012] In an exemplary embodiment, the renewable energy generation facility includes at least one of a wind energy generation facility and a solar energy generation facility, and the measurement value can be received through a power generation facility linkage device.

[0013] As an example, the event history output window may display a list of events before and after the point in time when an abnormality is detected in the power generation facility.

[0014] As an example, the time range of the event list displayed in the event history output window and the time range of the x-axis of the history chart can be displayed in a mutually linked manner.

[0015] In an exemplary embodiment, when any one of the events in the above event list is selected, an event area including a predetermined number of events before and after the selected event is displayed in the event history output window, and time information for each event included in the event area can be displayed in the historian chart.

[0016] A computing device provided in a power generation facility remote fault analysis system linked with a renewable energy power generation facility and a user device through a network according to another aspect of the present disclosure includes a processor that executes commands and a memory that stores said commands. The commands are implemented to receive measurement values ​​corresponding to said renewable energy power generation facility, classify said received measurement values ​​by component and sort them in a time series, store said time-series sorted measurement values ​​in a database, diagnose whether there is an abnormality in the power generation facility based on said stored measurement values, generate event data when an abnormality in said power generation facility is detected and store it in said database, and transmit an abnormality detection alarm message to said user device. When a request message for detailed diagnosis information is received from said user device, said processor can control said event history output windows and historian chart output windows based on said database to be generated and displayed on the web or app screen of said user device.

[0017] As an example of an embodiment, the renewable energy generation facility may include at least one of a wind energy generation facility and a solar energy generation facility.

[0018] As an example, the event history output window may display a list of events before and after the point in time when an abnormality is detected in the power generation facility.

[0019] As an example, the time range of the event list displayed in the event history output window and the time range of the x-axis of the history chart can be displayed in a mutually linked manner.

[0020] In an exemplary embodiment, when any one of the events in the above event list is selected, an event area including a predetermined number of events before and after the selected event is displayed in the event history output window, and time information for each event included in the event area can be displayed in the historian chart.

[0021] The present invention has the advantage of providing a remote fault analysis method for a new and renewable energy generation system and an apparatus and system for the same.

[0022] In addition, the present invention has the advantage of providing a remote fault analysis method for a renewable energy generation system, as well as a device and system for the same, which enables faster and more efficient analysis of the cause of a fault (or abnormality) occurring in a renewable energy generation facility at a remote location by providing a detailed diagnostic screen in which fault-related event data and historian log data are synchronized.

[0023] In addition, the present invention has the advantage of providing an operation management platform for eco-friendly renewable energy power generation facilities that enables the operator of the power generation facility to quickly and conveniently query operation data before and after a desired point in time and more effectively identify the causes of failures and abnormalities by maintaining event data and historian log data in a database after chronologically aligning and synchronizing them, and then simultaneously providing an event history output screen and a historian log output screen based on the synchronized data when an abnormal phenomenon in the power generation facility is detected.

[0024] In addition, the present invention has the advantage of maximizing profits by improving equipment utilization rates through rapid troubleshooting, by providing a UI / UX that can efficiently analyze the causes of abnormal phenomena in generators.

[0025] In addition, the present invention has the advantage of being able to establish a remote monitoring and control system for renewable energy generation facilities and optimize their operation.

[0026] In addition, various advantages and effects identified directly or indirectly through this document may be provided.

[0027] Detailed descriptions of each drawing are provided to help to more fully understand the drawings cited in the detailed description of the present invention.

[0028] FIG. 1 is a drawing for explaining the overall system configuration according to an embodiment of the present disclosure.

[0029] FIG. 2 is a diagram illustrating the control flow in a power generation facility remote fault analysis system according to an embodiment of the present disclosure.

[0030] FIG. 3 is a flowchart for explaining the operation of a power generation facility remote fault analysis system according to an embodiment of the present disclosure.

[0031] FIG. 4 shows a main screen provided by a web server of a power generation facility remote fault analysis system according to an embodiment of the present disclosure.

[0032] FIGS. 5 to 7 show a detailed diagnostic screen provided by a web server of a power generation facility remote fault analysis system according to an embodiment of the present disclosure.

[0033] FIG. 8 illustrates a computing device according to one embodiment of the present invention.

[0034] A method in a power generation facility remote fault analysis system linked with a renewable energy power generation facility and a user device through a network according to one aspect of the present disclosure comprises the steps of receiving a measurement value corresponding to the renewable energy power generation facility; classifying the received measurement value by component and sorting it in a time series; storing the time-series sorted measurement value in a database; diagnosing whether there is an abnormality in the power generation facility based on the stored measurement value; generating event data and storing it in the database when an abnormality is detected in the power generation facility; and transmitting an abnormality detection alarm message to the user device. In response to a request for detailed diagnosis information from the user device, an event history output window and a historian chart output window generated based on the database may be displayed on the web or app screen of the user device.

[0035] Additionally, a computing device provided in a power generation facility remote fault analysis system linked with a renewable energy power generation facility and a user device through a network according to one aspect of the present disclosure comprises: a processor that executes commands; and a memory that stores said commands, wherein the commands are implemented to receive a measurement value corresponding to said renewable energy power generation facility, classify the received measurement value by component and sort it in a time series, store the time-series sorted measurement value in a database, diagnose whether there is an abnormality in the power generation facility based on the stored measurement value, generate event data when an abnormality in said power generation facility is detected and store it in the database, and transmit an abnormality detection alarm message to said user device, and when a request message for detailed diagnosis information is received from said user device, the processor controls the creation of an event history output window and a historian chart output window based on said database to be displayed on the web or app screen of said user device.

[0036] Specific structural or functional descriptions regarding embodiments according to the concept of the present invention disclosed herein are provided merely for the purpose of explaining embodiments according to the concept of the present invention, and embodiments according to the concept of the present invention may be implemented in various forms and are not limited to the embodiments described herein.

[0037] Embodiments according to the concept of the present invention may be subject to various modifications and may take various forms; therefore, embodiments are illustrated in the drawings and described in detail in this specification. However, this is not intended to limit the embodiments according to the concept of the present invention to specific disclosed forms, and includes all modifications, equivalents, or substitutions that fall within the spirit and scope of the present invention.

[0038] Terms such as "first" or "second" may be used to describe various components, but said components should not be limited by said terms. For the sole purpose of distinguishing one component from another, for example, without departing from the scope of rights according to the concept of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component.

[0039] When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. Conversely, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between. Other expressions describing the relationship between components, such as "between" and "exactly between," or "adjacent to" and "directly adjacent to," should be interpreted in the same way.

[0040] The terms used herein are used merely to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as “comprising” or “having” are intended to indicate the existence of the described features, numbers, steps, actions, components, parts, or combinations thereof, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0041] 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 specification.

[0042] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to FIGS. 1 to 8.

[0043] FIG. 1 is a drawing for explaining the overall system configuration according to an embodiment of the present disclosure.

[0044] Referring to FIG. 1, the entire system (1) may be configured to include a renewable energy generation facility (10), a generation facility linkage device (20), a database server (30), a generation facility anomaly detection server (40), a web / app server (50), a user device (60), and a network (70).

[0045] The renewable energy generation facility (10) may include a power generation facility for producing environmentally friendly renewable energy, including a wind power generation facility and / or a solar power generation facility.

[0046] A renewable energy power generation facility (10) may be equipped with at least one measuring instrument that monitors the real-time operating status of each component of the power generation facility and provides a measured value, and the measured values ​​may be collected by a power generation facility linkage device (20) and transmitted to a database server (30). For example, the measured value for a wind power generation facility may include a measured value for the state of a turbine main shaft, gearbox, power generation motor, brake, etc., a measured value for the yaw state, and a measured value for the vibration and rotational speed of a tower, but is not limited thereto, and may further include a measured value for the state of additional parameters such as oil contamination, fire detection, and power quality. For example, the measured value for a solar power generation facility may include contact resistance, insulation resistance, string output voltage / current, bypass diode voltage / current of a solar cell / panel (string), but is not limited thereto.

[0047] The database server (30) can build a database by arranging the measurement values ​​for each power generation equipment component (part) in a time series.

[0048] The power generation facility abnormality detection server (40) can detect whether an abnormality has occurred in the power generation facility based on the measurement values ​​stored in the database server (30).

[0049] The power generation facility abnormality detection server (40) can generate event data corresponding to the detected abnormal state and transmit the generated event data to the database server (30) to register it in the event history. Here, the database server (30) can generate link information between the received event data and related measurement values.

[0050] When a power generation facility abnormality detection server (40) detects a power generation facility abnormality, it can send a predetermined abnormality detection warning alarm message containing the abnormality detection result to a web / app server (50).

[0051] The web / app server (50) can transmit the received anomaly detection warning alarm message to the user device (60). The user device (60) can check the anomaly detection warning alarm message through the web screen or app screen, and if the user selects the button (or menu) to view detailed diagnostic information on the web / app main screen, it can access the database server (30) to obtain related event history information and measurement values ​​corresponding to the event history.

[0052] The web / app server (50) can control the detailed diagnostic information view button (or menu) to generate an alarm history display window and a historian chart display window according to the selection and display them on the screen of the user device (60).

[0053] When a user selects any of the alarm events displayed in the alarm history display window, the time information of when the selected event occurred and the time information of events that occurred before and after the time when the event occurred can be displayed on the x-axis of the historian chart.

[0054] The user can select any of the times displayed on the x-axis of the histroin chart to view the measurement values ​​corresponding to that time.

[0055] As explained above, the present invention has the advantage of providing an operation management platform for eco-friendly renewable energy power generation facilities that enables the operator of the power generation facility to quickly and conveniently query operation data before and after a desired point in time and more effectively identify the causes of failures and abnormalities by maintaining event data and historian log data in a database after chronologically aligning and synchronizing them, and then simultaneously providing an event history output screen and a historian log output screen based on the synchronized data when an abnormal phenomenon in the power generation facility is detected.

[0056] The user device (60) may be a fixed terminal or a mobile terminal implemented as a computer system. The user device (10) and the seller device (20) may include, but are not limited to, a smartphone, mobile phone, navigation, desktop computer, laptop, digital broadcasting terminal, PDA (Personal Digital Assistants), PMP (Portable Multimedia Player), tablet PC, IoT (Internet of Things) device, VR (Virtual Reality) device, AR (Augmented Reality) device, etc., and may include a dashboard-type device.

[0057] The network (70) may be configured to include at least one of an internet network supporting IP communication, a mobile communication network including a radio access network and a core network, and a Wi-Fi network. The RAN is an entity that performs wireless resource allocation for mobile devices and may be at least one of an eNode B supporting 4G LTE, a gNode B supporting 5G NR, a BS (Base Station), an AP (Access Point), an NG-RAN (Next Generation Radio Access Network), a 5G-AN, a radio access unit, a base station controller, or a node that constitutes a wireless network. The core network may be at least one of an EPC (Evolved Packet Core) supporting 4G LTE, a 5GC (5G Core Network), or a NextGen Core (NG Core).

[0058] FIG. 2 is a diagram illustrating the control flow in a power generation facility remote fault analysis system according to an embodiment of the present disclosure.

[0059] Referring to FIG. 2, the power generation facility remote fault analysis system (200) may be configured to include the database server (30) described in FIG. 1, the power generation facility anomaly detection server (30), and the web / app server (40).

[0060] The database server (30) can receive power generation equipment measurement values ​​from the power generation equipment linkage device (20) (S201).

[0061] The database server (30) can classify the received power generation equipment measurement values ​​by part and then sort them in time series and store them in the database (S202 to S203).

[0062] The power generation facility abnormality detection server (30) can read time-series sorted measurement values ​​from a database and diagnose whether there is an abnormality in the facility based on the measurement values ​​(S204 to S205).

[0063] When an abnormality in the power generation facility is detected as a result of diagnosis, the power generation facility abnormality detection server (30) can generate event data and transmit it to the database server (30) (S206).

[0064] The database server (207) can store the received event data in the database by synchronizing it with the corresponding measurement value in time series (S207).

[0065] The power generation facility abnormality detection server (30) can send an abnormality detection report message to the web / app server (50) when an abnormality in the facility is detected as a result of diagnosis (S208).

[0066] When the web / app server (50) receives an anomaly detection report message, it can send an anomaly detection alarm message to the user device (60) (S209).

[0067] When an abnormal detection alarm message is received, the user device (60) may display the alarm message as a pop-up on one side of the display screen of the user device (60) or automatically launch a web browser (or app) to display the alarm message.

[0068] When the user selects the diagnosis details button on the web screen (or app screen) after confirming the abnormal detection alarm message, the user device (60) may request the web / app server (50) to transmit information to confirm the relationship before and after the abnormal sign (S210).

[0069] The web / app server (50) can configure a UI / UX screen for fault analysis by referencing a database and transmit it to a user device (60) (S220). Here, the UI / UX screen may include an event history output window for viewing and verifying related event history and a historian chart output window for verifying time information and related measurement values ​​corresponding to a specific event.

[0070] FIG. 3 is a flowchart for explaining the operation of a power generation facility remote fault analysis system according to an embodiment of the present disclosure.

[0071] Referring to FIG. 3, the power generation facility remote fault analysis system (200) can receive measurement values ​​from the power generation facility linkage device (20) (S310).

[0072] The power generation facility remote fault analysis system (200) can classify the received measurement values ​​by power generation facility parts and then sort them in time series and store them in a database (S320).

[0073] The power generation facility remote fault analysis system (200) can diagnose whether there is an abnormality in the power generation facility based on time-series aligned measurement values ​​(S330).

[0074] The power generation facility remote fault analysis system (200) can identify an event corresponding to the abnormal state when an abnormality is detected in the power generation facility and generate event data corresponding to the identified event (S340). Here, the event data may include at least one of an event unique identification code for uniquely identifying the event, a time and date indicating when the event occurred, a part type for identifying the target facility part, and database link information in which log information related to the alarm is recorded.

[0075] The power generation facility remote fault analysis system (200) can synchronize the generated event data with the corresponding measurement value and store it in a database (S350).

[0076] The power generation facility remote fault analysis system (200) can transmit an abnormal detection alarm message to a user device (60) (S360).

[0077] The power generation facility remote fault analysis system (200) can generate an event history display window and a historian chart display window corresponding to the time of abnormal detection in response to a request for detailed diagnostic information from a user and transmit them to a user device (60) (S370).

[0078] The power generation facility remote fault analysis system (200) can display at least one time information corresponding to an event selected by the user in the event history display window, in conjunction with the corresponding measurement value, on the x-axis of the historian chart display window (S380). When the user selects any of the time information displayed on the x-axis of the historian chart, a list of data related to the measurement value collected corresponding to that time can be displayed on the historian chart display window.

[0079] The power generation facility remote fault analysis system (200) according to the embodiment can display time information for at least one event detected before and after the occurrence of the selected event on a historian chart when any one of the event lists displayed in the event history display window is selected. Through this, the user has the advantage of being able to identify the situation before and after the detection of an anomaly more quickly and effectively and take appropriate measures.

[0080] FIG. 4 shows a main screen provided by a web server of a power generation facility remote fault analysis system according to an embodiment of the present disclosure.

[0081] Referring to FIG. 4, the main screen (400) may include an Overview menu, a Diagnosis menu, a History Check menu, an Alarm menu, and a Settings menu, as illustrated in Drawing No. 410. When the Overview menu is selected, information on currently active option settings, setting status information for each equipment part, and current status information may be displayed. Additionally, when the Overview menu is selected, Health Monitoring Status Information of the corresponding power generation equipment may be displayed. For example, the Health Monitoring Status Information may include Design Age, Estimated Age, and Health Index. If the Health Index exceeds a predetermined threshold, the user may recognize that an equipment malfunction has occurred, and when an equipment malfunction occurs, the Diagnosis Details button (420) may be activated.

[0082] FIGS. 5 to 7 show a detailed diagnostic screen provided by a web server of a power generation facility remote fault analysis system according to an embodiment of the present disclosure.

[0083] FIG. 5 shows an event history display window according to an embodiment of the present disclosure, and FIG. 6 shows a historian chart display window according to an embodiment of the present disclosure.

[0084] When the diagnostic detail button (420) of Fig. 4 is selected by the user, an event history display window and a historian chart display window that can check the relationship between the preceding and succeeding signs of abnormality can be simultaneously displayed on the screen of the user device (60).

[0085] Referring to Fig. 7, when the Event Log and Historian Chart are output, data can be displayed with the abnormal detection time of the power generation facility as the reference time. At this time, the date and time ranges displayed in the Event Log and Historian Chart can be linked to each other.

[0086] When a user selects a specific event in the event history output window, the x-axis (time) of the historian chart may display not only the time information when the event occurred but also related event occurrence time information and areas to check and analyze the situation before and after the event. By selecting the time information displayed on the historian chart, the user can easily check the changes in measurement values ​​of the power generation equipment where an equipment anomaly was detected.

[0087] FIG. 8 illustrates a computing device according to one embodiment of the present invention.

[0088] Referring to FIG. 8, the computing device (800) may be configured to include at least one of a processor (820), memory (830), user interface input device (840), user interface output device (850), storage (860), and network interface (870) connected via a bus (810).

[0089] The processor (820) may be a semiconductor device that executes processing on instructions stored in a central processing unit (CPU) or memory (830) and / or storage (860). The memory (830) and storage (860) may include various types of volatile or non-volatile storage media. For example, the memory (830) may include ROM (Read Only Memory, 831) and RAM (Random Access Memory, 832).

[0090] Accordingly, the steps of the method or algorithm described in relation to the embodiments disclosed herein may be directly implemented in hardware, software modules, or a combination of both, executed by the processor (820). The software modules may reside in storage media such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disks, removable disks, CD-ROMs (i.e., memory (830) and / or storage (860)). As an example, the processor (820) may be mounted on at least one server constituting the power plant failure analysis system (200).

[0091] An exemplary storage medium is coupled to a processor (820), and the processor (820) can read information from the storage medium and write information to the storage medium. Alternatively, the storage medium may be integrated with the processor (820). The processor (820) and the storage medium may reside within an application-specific integrated circuit (ASIC). The processor (820) may reside in at least one server constituting the power plant failure analysis system (200).

[0092] 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.

[0093] 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

1. A method in a power generation facility remote fault analysis system linked with renewable energy generation facilities and user devices through a network, A step of receiving a measurement value corresponding to the above-mentioned renewable energy generation facility; A step of classifying the received measurement values ​​into component units and arranging them in a time series; A step of storing the above time-series sorted measurement values ​​in a database; A step of diagnosing whether there is an abnormality in the power generation facility based on the stored measurement values ​​above; A step of generating event data and storing it in the database when an abnormality is detected in the power generation facility; and A step of transmitting an abnormal detection alarm message to the user device A method comprising, wherein an event history output window and a historian chart output window generated based on the database in response to a request for detailed diagnostic information from the user device are displayed on the web or app screen of the user device.

2. In Paragraph 1, The above-mentioned renewable energy generation facility includes at least one of a wind energy generation facility and a solar energy generation facility, and the method of receiving the measurement value through a power generation facility linkage device.

3. In Paragraph 1, The above event history output window is a method for displaying a list of events before and after based on the point in time when an abnormality is detected in the power generation facility.

4. In Paragraph 3, A method of displaying the time range of the event list displayed in the event history output window and the time range of the x-axis of the history chart in the above-mentioned history in a mutually linked manner.

5. In Paragraph 4, A method in which, when any one of the above event lists is selected, an event area including a predetermined number of events before and after the selected event is displayed in the event history output window, and time information for each event included in the event area is displayed in the historian chart.

6. A computing device equipped in a power generation facility remote fault analysis system that is linked with renewable energy generation facilities and user devices through a network, A processor that executes instructions; and It includes memory for storing the above commands, A computing device characterized by the above commands being implemented to receive measurement values ​​corresponding to the renewable energy generation facility, classify the received measurement values ​​by component and sort them in a time series, store the time-series sorted measurement values ​​in a database, diagnose whether there is an abnormality in the generation facility based on the stored measurement values, generate event data and store it in the database when an abnormality is detected in the generation facility, and transmit an abnormality detection alarm message to the user device, and, when a request message for detailed diagnosis information is received from the user device, the processor controls the generation of an event history output window and a historian chart output window based on the database to be displayed on the web or app screen of the user device.

7. In Paragraph 6, The above renewable energy generation facility is a computing device comprising at least one of a wind energy generation facility and a solar energy generation facility.

8. In Paragraph 6, The above event history output window is a computing device that displays a list of events before and after, based on the point in time when an abnormality is detected in the power generation facility.

9. In Paragraph 8, A computing device that displays the time range of the event list displayed in the event history output window and the time range of the x-axis of the history chart in the above-mentioned history.

10. In Paragraph 9, A computing device characterized in that when any one of the above event lists is selected, an event area including a predetermined number of events before and after the selected event is displayed in the event history output window, and time information for each event included in the event area is displayed in the historian chart.

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