Control device, terminal device, management system, and management method

Abstract

The detection unit (45) acquires detection data of the wind power generation device (20). The control device (100) generates maintenance information for the wind power generation device (20) on the basis of the detection data. The control device (100) transmits the maintenance information to the maintenance terminal (72).

Description

Technical Field

[0001] The present disclosure relates to a control device, a terminal device, a management system and a management method. Background Art

[0002] For example, Japanese Patent No. 5510926 (Patent Document 1) discloses a method for detecting abnormality in a blade bearing of a wind turbine generator. Prior art literature Patent Literature

[0003] Patent Document 1: Japanese Patent No. 5510926 Summary of the invention Technical problem to be solved by the invention

[0004] In the above-mentioned detection method, it is not considered that maintenance personnel or the like can recognize maintenance information for solving the abnormality of the wind turbine generator.

[0005] The present disclosure is made to solve the above-mentioned technical problems, and provides a technology for allowing maintenance personnel and the like to recognize maintenance information for eliminating abnormalities in a wind turbine generator. Technical solutions to technical problems

[0006] The management system disclosed in the present invention includes a detection unit, a control device and a terminal device. The detection unit acquires detection data of a wind power generation device. The control device generates maintenance information related to maintenance of the wind power generation device based on the detection data. The control device sends the maintenance information to a first terminal device.

[0007] The control device of the present disclosure includes an input interface, a processor and an output interface. The input interface receives input of detection data from a detection unit for acquiring detection data of a wind power generation device. The processor generates maintenance information related to maintenance of the wind power generation device based on the detection data. The output interface sends the maintenance information to a first terminal device.

[0008] The management method disclosed in the present invention includes: receiving input of detection data from a detection unit that obtains detection data of a wind power generation device; generating maintenance information related to maintenance of the wind power generation device based on the detection data; and sending the maintenance information to a first terminal device. Effects of the Invention

[0009] According to the present disclosure, it is possible to allow maintenance personnel or the like to recognize maintenance information for resolving abnormalities in a wind turbine generator. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a diagram showing a configuration example of a management system according to the present embodiment. Figure 2 It is a diagram showing the hardware configuration of the control device according to the present embodiment. Figure 3 This is a functional block diagram of the control device according to this embodiment. Figure 4 It is a functional block diagram of the maintenance terminal. Figure 5 is a diagram showing an example of a maintenance image. Figure 6 is a diagram showing an example of a captured image. Figure 7 This is an example of a flowchart showing the processing of the maintenance terminal and the processing of the control device. DETAILED DESCRIPTION

[0011] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the following drawings, the same reference numerals are given to the same or corresponding parts, and their description will not be repeated.

[0012] Figure 1 1 is a diagram showing a structural example of a management system 10 of the present disclosure. The management system 10 of the present disclosure includes: at least one wind turbine generator 20, at least one detection unit 45, a control device 100, at least one user terminal 50, at least one maintenance terminal 72, and a network NW. The collection device 30, the control device 100, the user terminal 50, and the maintenance terminal 72 can communicate with each other through the network NW. In addition, the maintenance terminal 72 corresponds to the "first terminal device" of the present disclosure, and the user terminal 50 corresponds to the "second terminal device" of the present disclosure.

[0013] The wind power generator 20 is a device that receives wind power to generate electricity. The wind power generator 20 has a bearing, a generator, etc. The detection unit 45 is provided corresponding to the wind power generator 20. The detection unit 45 acquires detection data of the component by monitoring the corresponding component of the wind power generator 20. The detection data is data for detecting abnormalities of the wind power generator 20. The component is also referred to as a "detection target component".

[0014] exist Figure 1In the example, the detection unit 45 is composed of N (N is an integer greater than 1) sensors S (S1 to SN) and a collection device 30. The sensor S detects the physical quantity of the wind turbine generator 20. The physical quantity can be any quantity as long as it is a quantity that can detect the abnormality of the wind turbine generator 20. For example, the sensor S can also be a sensor that detects the vibration of the bearing of the wind turbine generator 20, and the physical quantity detected by the sensor S is the frequency of the vibration. In addition, the sensor S can also be a sensor that detects the power generation of the generator of the wind turbine generator 20, and the physical quantity detected by the sensor S is the power generation. The collection device 30 collects the physical quantities detected by the N sensors. Then, the collection device 30 sends the collected physical quantities as detection data to the control device 100. In addition, the collection device 30 sends the wind turbine generator ID (identification) of the wind turbine generator 20 corresponding to the collection device 30 to the control device 100 together with the detection data. The wind turbine generator ID is information for identifying the wind turbine generator 20. The control device 100 holds a database (not shown), and can identify the installation position of the wind turbine generator 20 indicated by the wind turbine generator ID based on the wind turbine generator ID.

[0015] The detection data may also be other data instead of data detected by the sensor. The detection unit 45 may include a camera, for example, and the detection data may be an image captured by the camera.

[0016] The control device 100 generates maintenance information based on the detection data. Here, the so-called maintenance information is information related to the maintenance of the parts (components) of the wind turbine generator 20 that are abnormal or have signs of abnormality. Information indicating signs of abnormality of the wind turbine generator 20 is information indicating that there is no abnormality at present, but an abnormality will occur in the future. In this embodiment, the control device 100 generates maintenance information using AI (Artificial Intelligence).

[0017] The maintenance terminal 72 is a terminal held by a maintenance service provider or a maintenance team that performs maintenance on the wind turbine generator 20. The maintenance terminal 72 is a terminal related to the maintenance of the wind turbine generator 20. When the control device 100 detects an abnormality in the wind turbine generator 20, the maintenance person in charge sometimes needs to perform maintenance to eliminate the abnormality. Therefore, the control device 100 entrusts the maintenance of the wind turbine generator 20 to the maintenance service provider or the maintenance team. The maintenance terminal 72 is a terminal that accepts the maintenance entrustment. Specifically, the control device 100 sends maintenance information to the maintenance terminal 72. The display device of the maintenance terminal 72 displays a maintenance image based on the maintenance information. The maintenance image will be described later. In addition, the person who performs maintenance on the wind turbine generator 20 is also referred to as a "maintenance personnel."

[0018] In addition, the maintenance terminal 72 is a mobile terminal that the maintenance personnel can carry. The mobile terminal is, for example, a smart phone, a tablet computer, etc. The maintenance terminal 72 can be, for example, a stationary terminal (for example, a desktop). In addition, the maintenance terminal 72 can be a dedicated computer terminal. As described later, various images are displayed on the display device of the maintenance terminal 72.

[0019] The user terminal 50 is a terminal device owned by the user A. The "user" typically refers to a person who owns the wind turbine generator 20. In addition, the user terminal 50 is typically a mobile terminal that the user A can carry. In addition, the user terminal 50 may be a dedicated computer terminal.

[0020] [Hardware structure of the control device] Figure 2 is a block diagram showing the hardware configuration of the control device 100 according to the present embodiment. Figure 2 , an example of the hardware structure of the control device 100 involved in this embodiment is described.

[0021] like Figure 2 As shown, the control device 100 includes a computing device 11, a storage device 12, a medium reading device 13 and a communication device 14 as main hardware components.

[0022] The computing device 11 is an computing subject that executes various processes such as estimation processing and learning processing of the estimation model 121 by executing various programs, and is an example of a computer. The computing device 11 is composed of, for example, a CPU (Central Processing Unit), an FPGA (Field-Programmable Gate Array), and a GPU (Graphics Processing Unit). The computing device 11 may be composed of at least one of a CPU, an FPGA, and a GPU, or may be composed of a CPU and an FPGA, an FPGA and a GPU, a CPU and a GPU, or all of a CPU, an FPGA, and a GPU. In addition, the computing device 11 may also be composed of a computing circuit (processing circuitry).

[0023] The storage device 12 includes a volatile storage area (e.g., a work area) for temporarily storing program codes or work memory when the computing device 11 executes any program. For example, the storage device 12 is composed of a volatile storage device such as a DRAM (Dynamic Random Access Memory) or an SRAM (Static Random Access Memory). In addition, the storage device 12 includes a non-volatile storage area. For example, the storage device 12 is composed of a non-volatile storage device such as a hard disk or an SSD (Solid State Drive).

[0024] In this embodiment, an example is shown in which the volatile storage area and the nonvolatile storage area are included in the same storage device 12, but the volatile storage area and the nonvolatile storage area may be included in different storage devices. For example, the computing device 11 may include a volatile storage area, and the storage device 12 may include a nonvolatile storage area. The control device 100 may include a microcomputer including the computing device 11 and the storage device 12.

[0025] The storage device 12 stores an estimation model 121 and an estimation program 122. The estimation model 121 includes a neural network and parameters used in processing of the neural network. The parameters include weighting coefficients used in calculations of the neural network and determination values ​​for determining estimation.

[0026] The estimation model 121 includes at least a program capable of machine learning, and optimizes (adjusts) by performing machine learning based on learning data (teacher data). The learning data includes input data and correct data. The input data includes detection data and maintenance schedule. As described above, the detection data is data sent from the detection unit 45. The maintenance schedule is set by a maintenance person or a user of the wind turbine generator 20. For example, generally speaking, as the temperature rises in summer, the burden on the maintenance person increases. Therefore, as a maintenance schedule, a period other than summer is set by user A, etc. The maintenance schedule is stored in the RAM of the control device 100, for example.

[0027] The correct data includes maintenance information described later. When input data is input, the estimation model 121 estimates maintenance information based on the input data through the neural network 1211. Then, the estimation model 121 compares the maintenance information estimated by itself with the maintenance information included in the correct data. If the consistency between the two is within the prescribed range, the parameter 1212 is not updated. On the other hand, if the consistency between the two is outside the prescribed range, the parameter 1212 is updated so that the consistency between the two is within the prescribed range, thereby optimizing the parameter 1212. In this way, the estimation model 121 uses the learning data including the input data and the correct data to perform machine learning by optimizing the parameter 1212.

[0028] The process of learning the estimation model 121 as described above is also referred to as a "learning process". In addition, the estimation model 121 optimized by the learning process is particularly referred to as a "learning model". That is, in this embodiment, the estimation model 121 before learning and the estimation model 121 after learning are collectively referred to as an "estimation model", and on the other hand, the estimation model 121 after learning is particularly referred to as a "completed learning model".

[0029] The estimation program 122 is a program for executing estimation processing and learning processing by the arithmetic device 11. The medium reading device 13 receives a storage medium such as a removable disk 130 and acquires data stored in the removable disk 130.

[0030] The communication device 14 transmits and receives data to and from other devices (the user terminal 50 or the maintenance terminal 72 ) via the network NW.

[0031] [Functional structure of estimation device] Figure 3 is a functional block diagram of the control device 100 involved in this embodiment. Figure 3 As shown, the control device 100 includes an input unit 1101, an estimation unit 1102, a storage unit 1103, and an output unit 1104 as main functional units.

[0032] The input unit 1101 inputs input data corresponding to the communication device 14. As described above, the input data includes detection data and maintenance schedule.

[0033] The estimation unit 1102 estimates maintenance information based on the input data input from the input unit 1101 and the estimation model 121 including the neural network 1211. The storage unit 1103 corresponds to the storage device 12 and stores the estimation model 121 including the neural network 1211 and the parameter 1212.

[0034] The output unit 1104 corresponds to the communication device 14, and outputs the maintenance information estimated by the estimation unit 1102 and the information indicating the terminal device to be transmitted to the outside.

[0035] Next, maintenance information will be described. Maintenance information is the most appropriate information for maintenance personnel when performing maintenance on the wind turbine generator 20. The maintenance information includes an abnormal location, a maintenance type, a maintenance location, a tool to be used, parts to be used, and a maintenance period.

[0036] The abnormal part is information indicating a part of the wind turbine generator 20 where an abnormality has occurred. The abnormal part is, for example, a bearing. The maintenance category is information indicating a maintenance category of the wind turbine generator 20. The maintenance category includes, for example, at least one of repair of a component of the wind turbine generator 20, position adjustment of the component, and inspection of the component. A component of the wind turbine generator 20 is, for example, a bearing. The position adjustment of a component of the wind turbine generator 20 includes, for example, position adjustment of a main shaft of a bearing of the wind turbine generator 20. The inspection of the wind turbine generator 20 includes, for example, inspection of the composition of the lubricating oil of the wind turbine generator 20.

[0037] The maintenance location is information indicating the maintenance location of the wind turbine generator 20. The maintenance location is a location indicating an abnormality or a sign of an abnormality. The tool used is a tool required for the maintenance of the wind turbine generator 20. The tool includes, for example, a stethoscope for hearing the noise of the bearing.

[0038] The used parts are, for example, parts that need to be replaced due to abnormality. Examples of used parts include speed increasers, generators, and bearings. The maintenance period indicates a period suitable for performing maintenance. For example, the maintenance period is winter.

[0039] The information indicating the terminal device to which the maintenance information is to be transmitted is information indicating the terminal device to which the maintenance information is to be transmitted. For example, when the abnormality of the wind turbine generator 20 is serious, it is preferably performed by a maintenance person. On the other hand, when the abnormality of the wind turbine generator 20 is minor, the user A does not need to entrust a maintenance person who incurs maintenance costs. Therefore, when the abnormality of the wind turbine generator 20 is minor, the maintenance information is transmitted to the user terminal 50. The user terminal 50 enables the user to recognize the maintenance information by displaying the maintenance information.

[0040] In the present embodiment, an abnormality that does not require maintenance personnel (a minor abnormality) is also referred to as a “first abnormality.” In addition, an abnormality that requires maintenance personnel (a major abnormality) is also referred to as a “second abnormality.”

[0041] As described above, the control device 100 can identify the installation position of the wind turbine generator 20 indicated by the wind turbine generator ID based on the wind turbine generator ID. The control device 100 transmits the maintenance information and the installation position to the terminal device of the transmission destination.

[0042] Figure 4: is a functional block diagram of the maintenance terminal 72. The maintenance terminal 72 has a photographing unit 81, a display control unit 82, a display unit 83, a communication unit 84, and a storage unit 85. The photographing unit 81 corresponds to the "photographing device" of the present disclosure. The communication unit 84 corresponds to the "communication device" of the present disclosure. The display control unit corresponds to the "control device (or control circuit)" of the present disclosure. The display unit 83 corresponds to the "display device" of the present disclosure.

[0043] The imaging unit 81 generates imaging data by imaging the wind turbine generator 20 and the like. The imaging data is output to the display control unit 82. The display control unit 82 displays an image based on the imaging data on the display unit 83.

[0044] In addition, the communication unit 84 receives information (e.g., maintenance information) from other devices (e.g., the control device 100). The maintenance information is output to the display control unit 82. The display control unit 82 displays an image based on the maintenance information on the display unit 83. The user terminal 50 may also have Figure 4 Functions shown.

[0045] In addition, the storage unit 85 stores the maintenance location. The maintenance location is included in the maintenance information acquired by the communication unit 84 (see Figure 3 ). The function of this maintenance part will be described later. [Show image] Next, the display screen displayed by the maintenance terminal 72 or the user terminal 50 is described. The following mainly describes the display image of the maintenance terminal 72. When the maintenance terminal 72 receives maintenance information, it notifies the maintenance information. Here, "notification" is a process for allowing the user to recognize information. "Notification" includes a process for displaying the information and a process for outputting a sound representing the information. In this embodiment, the structure of the process of displaying the information is described as "notification".

[0047] Next, a display image displayed on the display unit 83 of the maintenance terminal will be described. Figure 5 This is an example of a maintenance image 211 based on maintenance information. The maintenance image 211 includes images 201 to 207. Figure 5 In the example of FIG. 1 , an example of a display image displayed on the display unit 83 of the maintenance terminal which is a mobile terminal is shown.

[0048] Image 201 is an image showing a component in which an abnormality has occurred (hereinafter also referred to as an "abnormal component"). By visually recognizing image 201, maintenance personnel can recognize "the abnormality that has occurred in wind turbine generator 20 and the abnormal component". Figure 5 In the example of , image 201 is an image showing that an abnormality has occurred in component A. Figure 5In the example of , A to F are shown as images, but these A to F are just symbols obtained by generalizing the images, and actually display specific information (name, etc.).

[0049] Image 202 is an image showing a maintenance category. The maintenance personnel can recognize the maintenance category by visually recognizing image 202. Figure 5 In the example of , the image 202 is an image showing replacement of a component (ie, replacement of component A).

[0050] Image 203 is an image showing a maintenance location. The maintenance personnel can identify the maintenance location by visually recognizing image 203. Figure 5 In the example of FIG. 2 , the maintenance location B is represented by image 203 .

[0051] Image 204 is an image showing a tool in use. The maintenance personnel can recognize the tool in use by visually recognizing image 204. Figure 5 In the example of FIG. 2 , the use of tool C is represented by image 204 .

[0052] Image 205 is an image showing a used part. Maintenance personnel can identify the used part by visually recognizing image 205. The used part is, for example, a substitute for an abnormal part. Figure 5 In the example of , the used component D is represented by the image 205. For example, the used component D is the used component shown by the image 201.

[0053] Image 206 is an image showing a maintenance period. The maintenance personnel can recognize the maintenance period by visually recognizing image 206. Figure 5 In the example of , the maintenance period E is represented by image 206 .

[0054] Image 207 is an image showing a maintenance location. The maintenance personnel can recognize the maintenance location by visually recognizing image 207. Figure 5 In the example of FIG. 2 , the maintenance site F is indicated by the image 207. The maintenance site F is the installation location of the wind turbine generator 20 to be maintained.

[0055] exist Figure 5 In the maintenance image 211, the image data of images 201 to 206 are based on Figure 5 Maintenance information (see Figure 3 ) data. In addition, the image data of the image 207 is data based on the wind turbine generator ID.

[0056] exist Figure 5, an example is shown in which the control device 100 determines that the abnormality of the wind turbine generator 20 is the second abnormality (serious abnormality), and sends the maintenance information to the maintenance terminal 72 and displays it on the maintenance terminal 72. As described above, when the control device 100 determines that the abnormality of the wind turbine generator 20 is the first abnormality (minor abnormality), the control device 100 sends the maintenance information to the user terminal 50, causing the user terminal 50 to display the maintenance image.

[0057] When the maintenance period arrives, for example, the maintenance personnel holds the mobile terminal, that is, the maintenance terminal 72, and goes to the maintenance site (that is, the location of the wind turbine generator 20 to be maintained). Then, the maintenance personnel photographs the maintenance terminal 72 to photograph the vicinity of the abnormal part of the wind turbine generator 20. The photographing may be either a still image or a video.

[0058] In addition, as in Figure 4 As described in the maintenance information, the storage unit 85 of the maintenance terminal 72 stores the maintenance parts included in the maintenance information. The display control unit 82 analyzes the captured data from the imaging unit 81 to determine the part in the captured data that is consistent with the maintenance part. The determination method may be, for example, a method using AI or other methods (e.g., matching processing).

[0059] Then, the display control unit 82 displays the captured image in a manner that makes the maintenance portion of the wind turbine generator 20 different from other portions. Figure 6 2 is a diagram showing an example of the captured image 212. Figure 6 In the example of FIG. 1 , a maintenance worker photographs a bearing of a wind turbine generator 20. In addition, an example of an abnormality is described in which a bolt on a flat plate portion of a bearing is loose. Figure 6 In the example of , the display control unit 82 displays the flat plate portion 832 (maintenance portion) in the bearing in a manner different from other portions. For the "different manner", for example, the display control unit 82 displays the flat plate portion 832 in a flashing manner. Figure 6 In the example, the flat plate portion 832 is shaded and shown. Maintenance personnel can, for example, visually identify the flat plate portion in an actual bearing and identify the abnormal portion as the flat plate portion and the bolts of the flat plate portion (in Figure 6 In the example shown, bolt 834) is loose.

[0060] [flow chart] Figure 7 This is an example of a flowchart showing the processing of the maintenance terminal 72 and the processing of the control device 100 . Figure 7 The flowchart starts every time the above-mentioned specified period (for example, 1 hour) passes.

[0061] First, in step S2, the control device 100 obtains detection data from the detection unit 45. Next, in step S3, the control device 100 generates maintenance information based on the detection data. Next, in step S4, the control device 100 sends the maintenance information to the maintenance terminal 72. In step S6, the maintenance terminal 72 displays the maintenance information (see Figure 5 and Figure 6 ).

[0062] [Function and Effect] like Figure 3 As shown, the control device 100 generates maintenance information related to the maintenance of the wind turbine generator 20 based on the detection data. Then, the control device 100 sends the maintenance information to the maintenance terminal 72 or the user terminal 50. Then, the maintenance terminal 72 or the user terminal 50 notifies the maintenance information. According to such a structure, the management system 10 can make the owner of the maintenance terminal 72 (maintenance personnel) or the owner of the user terminal 50 (user) recognize the maintenance information related to the maintenance of the wind turbine generator 20.

[0063] In addition, if Figure 3 and Figure 5 As shown, the control device 100 determines the maintenance type, and the maintenance information includes the maintenance type. With such a configuration, the management system 10 can allow the owner (maintenance worker) of the maintenance terminal 72 or the owner (user) of the user terminal 50 to recognize the maintenance type of the wind turbine generator 20 .

[0064] In addition, if Figure 5 As shown, the maintenance category includes at least one of maintenance of a component of the wind turbine generator 20, position adjustment of the component, and inspection of the component. According to such a structure, the holder of the first terminal device can recognize that the maintenance category is any one of maintenance of a component of the wind turbine generator, position adjustment of the component, and inspection of the component.

[0065] In addition, if Figure 3 and Figure 5 As shown, the control device 100 determines the maintenance location of the wind turbine generator 20 based on the detection data. The maintenance information is information including the maintenance location. According to such a structure, the management system 10 enables the holder (maintenance personnel) of the maintenance terminal 72 or the holder (user) of the user terminal 50 to identify the maintenance location of the wind turbine generator 20.

[0066] In addition, if Figure 3 and Figure 5As shown, the control device 100 determines the tools and parts required for the maintenance of the wind turbine generator 20 based on the detection data. The maintenance information includes information indicating the tools and parts. According to such a structure, the management system 10 enables the holder (maintenance personnel) of the maintenance terminal 72 or the holder (user) of the user terminal 50 to identify the tools and parts required for the maintenance of the wind turbine generator 20.

[0067] In addition, if Figure 3 and Figure 5 As shown, the control device 100 determines the maintenance time of the wind turbine generator 20 based on the detection data. The maintenance information includes information indicating the maintenance time. With such a configuration, the owner (maintenance personnel) of the maintenance terminal 72 or the owner (user) of the user terminal 50 can recognize the maintenance time.

[0068] In addition, if Figure 3 and Figure 5 As shown, the control device 100 determines the abnormal part of the wind turbine generator 20 based on the detection data. The maintenance information includes information indicating the abnormal part. According to such a structure, the holder (maintenance personnel) of the maintenance terminal 72 or the holder (user) of the user terminal 50 can identify the abnormal part of the wind turbine generator 20.

[0069] In addition, if Figure 3 and Figure 5 As shown, the control device 100 determines the abnormality of the control device 100 based on the detection data, and sends maintenance information to the maintenance terminal 72 and the user terminal 50 according to the abnormality. For example, if the abnormality of the control device 100 is serious, the maintenance information is sent to the maintenance terminal 72. Thus, the maintenance personnel can perform maintenance for eliminating the serious abnormality. On the other hand, if the abnormality of the control device 100 is minor, the maintenance information is sent to the maintenance terminal 50. Thus, even without entrusting the maintenance personnel, the user himself can eliminate the minor abnormality.

[0070] In addition, if Figure 5 As shown in FIG. 1 and FIG. 2 , the maintenance terminal 72 or the user terminal 50 is a mobile terminal device that can be carried by a maintenance person or a user. Therefore, the maintenance person or the user can perform maintenance on the wind turbine generator 20 while visually recognizing the maintenance information at the maintenance site.

[0071] In addition, if Figure 6 As shown, the maintenance terminal 72 or the user terminal 50 displays the captured image 212 in a manner that the maintenance location of the wind turbine generator 20 is different from other locations. Therefore, the maintenance personnel or the user can easily identify the maintenance location.

[0072] [Other embodiments] In the above embodiment, the structure in which the control device 100 generates maintenance information is described. However, the device having the function of generating maintenance information may also be other devices. For example, the other device may be the maintenance terminal 72. For example, Figure 4 The display control unit 82 shown in the figure has the function of the estimation unit 1102 (function of generating maintenance information). That is, the display control unit 82 generates maintenance information and displays it on the display unit 83 (display). In addition, the hardware structure of the maintenance terminal 72 adopting such a structure becomes relatively Figure 2 The configuration shown is a configuration in which a display unit 83 (display) is added. According to such a configuration, the maintenance terminal 72 itself can generate and display maintenance information.

[0073] [Modifications] (1) Figure 3 In the example, an example in which the input data includes a maintenance schedule is described. However, the input data may not include a maintenance schedule. In addition, the control device 100 may also use other information of the maintenance schedule to determine the maintenance period. Other information includes, for example, the deliverable period of a substitute component for the abnormal component and the usable period of the conveyor. Regarding the deliverable period of the substitute component, for example, it is information sent from a terminal of a delivery service provider that delivers the substitute component. In addition, when the wind turbine 20 is set at a special location, the conveyor transports the maintenance personnel or the user to the special location. When the special location is at sea, the conveyor is a ship.

[0074] (2) In the above embodiment, the control device 100 mainly uses AI to generate maintenance information. However, the control device 100 may generate at least a portion of the maintenance information by other methods. For example, the control device 100 or a designer may construct a database in which detection data and maintenance information are associated, and the control device 100 generates maintenance information using the database.

[0075] [Note] (Item 1) The management system of the present disclosure includes a detection unit for acquiring detection data of a wind power generation device, a control device, and a first terminal device. The control device generates maintenance information related to maintenance of the wind power generation device based on the detection data. The control device sends the maintenance information to the first terminal device.

[0076] (Item 2) The management system according to Item 1, wherein the control device determines a maintenance category of the wind turbine generator based on the detection data. The maintenance information includes information indicating the maintenance category.

[0077] (Item 3) The management system according to Item 2, wherein the maintenance category includes at least one of repair of a component of the wind turbine generator system, position adjustment of the component, and inspection of the component.

[0078] (Item 4) The management system according to any one of Items 1 to 3, wherein the control device specifies a maintenance location of the wind turbine generator based on the detection data. The maintenance information includes information indicating the maintenance location.

[0079] (Item 5) The management system according to any one of Items 1 to 4, wherein the control device specifies tools and parts required for the wind turbine generator based on the detection data. The maintenance information includes information indicating the tools and parts.

[0080] (Item 6) The management system according to any one of Items 1 to 5, wherein the control device determines a maintenance period for the wind turbine generator based on the detection data. The maintenance information includes information indicating the maintenance period.

[0081] (Item 7) The management system according to any one of Items 1 to 6, wherein the control device identifies an abnormal portion of the wind turbine generator based on the detection data. The maintenance information includes information indicating the abnormal portion.

[0082] (Item 8) A management system as described in any one of Items 1 to 7, wherein the management system further includes a second terminal device. The control device determines the degree of abnormality of the wind turbine generator based on the detection data, and sends maintenance information to either the first terminal device or the second terminal device according to the degree of abnormality.

[0083] (Item 9) The management system according to any one of Items 1 to 8, wherein the first terminal device is a mobile terminal device.

[0084] (Item 10) A management system as described in any one of Items 1 to 9, wherein the first terminal device includes: a camera for photographing the wind turbine generator, a display device for displaying an image captured by the camera, and a display control device. The display control device displays the image of the maintenance portion of the wind turbine generator in a manner different from that of other portions.

[0085] (Item 11) The control device of the present disclosure includes an input interface, a processor, and an output interface. The input interface receives input of detection data from a detection unit for acquiring detection data of a wind power generation device. The processor generates maintenance information related to maintenance of the wind power generation device based on the detection data. The output interface sends the maintenance information to the first terminal device.

[0086] (Item 12) The terminal device of the present disclosure includes an input interface, a processor, and a display. The input interface receives input of detection data from a detection unit for acquiring detection data of a wind power generation device. The processor generates maintenance information related to maintenance of the wind power generation device based on the detection data, and the display displays an image based on the maintenance information.

[0087] (Item 13) The management method disclosed herein includes: receiving an input of detection data from a detection unit that acquires detection data of a wind power generation device; generating maintenance information related to the wind power generation device based on the detection data; and sending the maintenance information to a first terminal device.

[0088] All contents of the embodiments disclosed this time should be considered as illustrative rather than limiting. The scope of the present invention should be considered to be indicated not by the description of the above embodiments but by the claims, and all changes within the meaning and scope equivalent to the claims are included. Description of symbols

[0089] 10 management system, 11 computing device, 12 storage device, 14 communication device, 20 wind turbine generator, 30 collecting device, 45 detection unit, 50 user terminal, 72 maintenance terminal, 81 shooting unit, 82 display control unit, 83 display unit, 84 communication unit, 85 storage unit, 100 control device, 121 estimation model, 122 estimation program, 130 removable disk, 201, 202, 203, 204, 205, 206, 207 image, 211 maintenance image, 212 shooting image, 832 tablet unit, 1101 input unit, 1102 estimation unit, 1104 output unit, 1211 neural network.

Claims

1. A management system, characterized in that: include: A detection unit, the detection unit acquires detection data of the wind power generation device; a control device that generates maintenance information related to maintenance of the wind power generation device based on the detection data; as well as a first terminal device, The control device sends the maintenance information to the first terminal device.

2. The management system according to claim 1, characterized in that: The control device determines a maintenance type of the wind turbine generator based on the detection data, and the maintenance information includes information indicating the maintenance type.

3. The management system according to claim 2, characterized in that: The maintenance category includes at least one of repair of a component of the wind turbine generator, position adjustment of the component, and inspection of the component.

4. The management system according to any one of claims 1 to 3, characterized in that: The control device specifies a maintenance location of the wind turbine generator based on the detection data, and the maintenance information includes information indicating the maintenance location.

5. The management system according to any one of claims 1 to 3, characterized in that: The control device determines tools and parts required for maintenance of the wind turbine generator based on the detection data, The maintenance information includes information indicating the tool and the component.

6. The management system according to any one of claims 1 to 3, characterized in that: The control device determines a maintenance period for the wind turbine generator based on the detection data, and the maintenance information includes information indicating the maintenance period.

7. The management system according to any one of claims 1 to 3, characterized in that: The control device specifies an abnormal portion of the wind turbine generator based on the detection data, and the maintenance information includes information indicating the abnormal portion.

8. The management system according to any one of claims 1 to 3, characterized in that: The management system further includes a second terminal device, The control device, determining the abnormality degree of the wind power generation device based on the detection data, The maintenance information is transmitted to either the first terminal device or the second terminal device according to the abnormality degree.

9. The management system according to any one of claims 1 to 3, characterized in that: The first terminal device is a mobile terminal device.

10. The management system according to claim 9, characterized in that: The first terminal device comprises: A photographing device, the photographing device photographing the wind power generation device; a display device for displaying an image captured by the capturing device; and Display control device, The display control device displays the captured image in such a manner that a maintenance location of the wind turbine generator is different from other locations.

11. A control device, characterized in that: include: An input interface, the input interface receiving an input of the detection data from a detection unit for acquiring the detection data of the wind power generation device; a processor that generates maintenance information related to maintenance of the wind power generation device based on the detection data; as well as An output interface is used to send the maintenance information to the first terminal device.

12. A terminal device, characterized in that: include: An input interface, the input interface receiving an input of the detection data from a detection unit for acquiring the detection data of the wind power generation device; a processor that generates maintenance information related to maintenance of the wind power generation device based on the detection data; as well as A display displays an image based on the maintenance information.

13. A management method, characterized in that: include: receiving an input of the detection data from a detection unit for acquiring detection data of a wind power generation device; generating maintenance information related to maintenance of the wind power generation device based on the detection data; as well as The maintenance information is sent to the first terminal device.

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