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

Abstract

To make a maintenance person or the like recognize maintenance information for resolving an abnormality in a wind power generation device.SOLUTION: A detection unit 45 acquires detection data of a wind power generation device 20. A control device 100 generates maintenance information for the wind power generation device 20 based on the detection data. The control device 100 transmits the maintenance information to a maintenance terminal 72.SELECTED DRAWING: Figure 1

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 detection method for detecting an abnormality in a bearing for a blade of a wind power generation device.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the above detection method, consideration has not been given to making maintenance information for eliminating an abnormality in a wind power generation device recognizable to maintenance personnel or the like. <00OO026>

[0005] The present disclosure has been made to solve the above problems, and provides a technique for making maintenance information for eliminating an abnormality in a wind power generation device recognizable to maintenance personnel or the like.

Means for Solving the Problems

[0006] The management system of the present disclosure 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 regarding maintenance of the wind power generation device based on the detection data. The control device transmits the maintenance information to a first terminal device.

[0007] The control device of this disclosure comprises an input interface, a processor, and an output interface. The input interface receives detection data from a detection unit that acquires detection data for a wind turbine. The processor generates maintenance information related to the maintenance of the wind turbine based on the detection data. The output interface transmits the maintenance information to a first terminal device.

[0008] The management method disclosed herein comprises receiving detection data from a detection unit that acquires detection data for a wind power generation system, generating maintenance information related to the maintenance of the wind power generation system based on the detection data, and transmitting the maintenance information to a first terminal device. [Effects of the Invention]

[0009] According to this disclosure, maintenance information for resolving abnormalities in wind power generation equipment can be made known to maintenance personnel and others. [Brief explanation of the drawing]

[0010] [Figure 1] This figure shows an example configuration of the management system of this embodiment. [Figure 2] This figure shows the hardware configuration of the control device according to this embodiment. [Figure 3] This is a functional block diagram of the control device of this embodiment. [Figure 4] This is a functional block diagram of the maintenance terminal. [Figure 5] This figure shows an example of a maintenance image. [Figure 6] This figure shows an example of an captured image. [Figure 7] This is an example of a flowchart illustrating the processing performed by the maintenance terminal and the control unit. [Modes for carrying out the invention]

[0011] Embodiments of the present invention will be described below with reference to the drawings. In the following drawings, identical or corresponding parts will be given the same reference numeral, and their descriptions will not be repeated.

[0012] Figure 1 shows an example configuration of the management system 10 of this disclosure. The management system 10 of this disclosure comprises at least one wind turbine 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. The maintenance terminal 72 corresponds to the "first terminal device" of this disclosure, and the user terminal 50 corresponds to the "second terminal device" of this disclosure.

[0013] The wind turbine 20 is a device that generates electricity by receiving wind power. The wind turbine 20 includes bearings and a generator. The detection unit 45 is installed in conjunction with the wind turbine 20. The detection unit 45 acquires detection data for the corresponding parts of the wind turbine 20 by monitoring those parts. The detection data is data for detecting abnormalities in the wind turbine 20. These parts are also referred to as "detection target parts".

[0014] In the example shown in Figure 1, the detection unit 45 is composed of N (where N is an integer greater than or equal to 1) sensors S (S1 to SN) and a data collection device 30. The sensors S detect physical quantities of the wind turbine 20. The physical quantities can be any quantities that can detect an abnormality in the wind turbine 20. For example, one sensor S may be a sensor that detects vibrations of the bearings of the wind turbine 20, and the physical quantity detected by the sensor S will be the frequency of the vibrations. Another sensor S may be a sensor that detects the amount of power generated by the generator of the wind turbine 20, and the physical quantity detected by the sensor S will be the amount of power generated. The data collection device 30 collects the physical quantities detected by the N sensors. The data collection device 30 then transmits the collected physical quantities as detection data to the control device 100. The data collection device 30 also transmits the wind turbine ID (identification) of the wind turbine 20 to which the data collection device 30 is associated, along with the detection data, to the control device 100. The wind turbine ID is information used to identify the wind turbine 20. The control device 100 maintains a database (not shown) and can identify the installation location of the wind turbine 20 indicated by the wind turbine ID based on the wind turbine ID.

[0015] Note that the detection data may be data other than the data detected by the sensor. For example, the detection unit 45 may include a camera, and the detection data may be the image captured by the camera.

[0016] The control device 100 generates maintenance information based on the detected data. Here, maintenance information refers to information regarding the maintenance of parts (components) of the wind turbine 20 that are abnormal or showing signs of abnormality. Information indicating signs of abnormality in the wind turbine 20 refers to information that indicates that an abnormality has not occurred at present, but is likely to 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 owned by a maintenance company or a maintenance team that performs maintenance on the wind power generation device 20. The maintenance terminal 72 is a terminal related to the maintenance of the wind power generation device 20. When the control device 100 detects an abnormality in the wind power generation device 20, the maintenance staff may perform maintenance to eliminate the abnormality. Therefore, the control device 100 requests the maintenance company or the maintenance team to perform the maintenance of the wind power generation device 20. The maintenance terminal 72 is a terminal that receives the request for the maintenance. Specifically, the control device 100 transmits 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. Also, the person who performs the maintenance of the wind power generation device 20 is also referred to as a "maintenance person".

[0018] Also, the maintenance terminal 72 is a portable terminal that can be carried by the maintenance person. The portable terminal is, for example, a smartphone, a tablet, or the like. Note that the maintenance terminal 72 may be, for example, a stationary terminal (for example, a desktop personal computer). Also, the maintenance terminal 72 may be a dedicated computer terminal. Various images are displayed on the display device of the maintenance terminal 72 as will be described later.

[0019] The user terminal 50 is a terminal device owned by user A. The "user" typically refers to a person who owns the wind power generation device 20. Also, the user terminal 50 is typically a portable terminal that can be carried by user A. Also, the user terminal 50 may be a dedicated computer terminal.

[0020] [Hardware Configuration of Control Device] FIG. 2 is a block diagram showing the hardware configuration of the control device 100 according to the present embodiment. An example of the hardware configuration of the control device 100 according to the present embodiment will be described while referring to FIG. 2.

[0021] As shown in Figure 2, the control device 100 comprises, as its main hardware elements, an arithmetic unit 11, a storage device 12, a media reader 13, and a communication device 14.

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

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

[0024] In this embodiment, an example is shown in which volatile and non-volatile storage areas are included in the same storage device 12. However, volatile and non-volatile storage areas may be included in different storage devices. For example, the arithmetic unit 11 may include volatile storage areas, and the storage device 12 may include non-volatile storage areas. The control device 100 may include a microcomputer that includes the arithmetic unit 11 and the storage device 12.

[0025] The memory device 12 stores the estimation model 121 and the estimation program 122. The estimation model 121 includes a neural network and parameters used in the processing within the neural network. The parameters include weighting coefficients used in the calculations performed by the neural network and judgment values ​​used to determine the estimation.

[0026] The estimation model 121 includes at least a program capable of machine learning and is optimized (adjusted) by performing machine learning based on training data (teaching data). The training data includes input data and correct answer data. The input data includes detection data and maintenance schedule. The detection data is the data transmitted from the detection unit 45, as described above. The maintenance schedule is set by the maintenance personnel or the users of the wind turbine 20. For example, generally, the maintenance burden on maintenance personnel increases in the summer due to the high temperatures. Therefore, the maintenance schedule is set by the user or others for periods other than summer. The maintenance schedule is stored, for example, in the RAM of the control device 100.

[0027] The ground truth data includes maintenance information, which will be described later. When input data is received, the estimation model 121 estimates the maintenance information based on the input data using the neural network 1211. The estimation model 121 then compares the maintenance information it has estimated with the maintenance information included in the ground truth data. If the degree of agreement between the two is within a predetermined range, it does not update the parameter 1212. However, if the degree of agreement is outside the predetermined range, it updates the parameter 1212 so that the degree of agreement is within the predetermined range, thereby optimizing the parameter 1212. In this way, the estimation model 121 performs machine learning by optimizing the parameter 1212 using training data that includes the input data and the ground truth data.

[0028] The process of training the estimation model 121 as described above is also referred to as the "training process." Furthermore, the estimation model 121 optimized by the training process is specifically referred to as the "trained model." In other words, in this embodiment, the estimation model 121 before training and the estimation model 121 after training are collectively referred to as the "estimation model," while the training-completed estimation model 121 is specifically referred to as the "trained model."

[0029] The estimation program 122 is a program for the arithmetic unit 11 to perform estimation and learning processes. The media reader 13 accepts a storage medium such as a removable disk 130 and retrieves the data stored on the removable disk 130.

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

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

[0032] The input unit 1101 corresponds to the communication device 14, and input data is received there. 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 received from the input unit 1101 and the estimation model 121, which includes the neural network 1211. The storage unit 1103 corresponds to the storage device 12 and stores the estimation model 121, which includes the neural network 1211 and parameters 1212.

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

[0035] Next, I will explain the maintenance information. This maintenance information is optimal for maintenance personnel when performing maintenance on the wind turbine 20. The maintenance information includes the location of the abnormality, the type of maintenance, the maintenance location, the tools used, the parts used, and the maintenance timing.

[0036] The abnormal location is information indicating the location where the abnormality occurred in the wind turbine 20. The abnormal location may be, for example, a bearing. The maintenance type is information indicating the type of maintenance performed on the wind turbine 20. The maintenance type includes, for example, at least one of the following: repair of a component of the wind turbine 20, adjustment of the position of the component, and inspection of the component. A component of the wind turbine 20 is, for example, a bearing. Adjustment of a component of the wind turbine 20 includes, for example, adjustment of the position of the main shaft of the bearing of the wind turbine 20. Inspection of the wind turbine 20 includes, for example, testing the components of the lubricating oil of the wind turbine 20.

[0037] Maintenance locations are information indicating the maintenance points of the wind turbine 20. Maintenance locations are areas showing abnormalities or signs of abnormality. Tools to be used are tools necessary for the maintenance of the wind turbine 20. These tools include, for example, a stethoscope for listening to abnormal noises from the bearings.

[0038] The parts used are, for example, parts that have malfunctioned and need to be replaced. These parts include, for example, speed increasers, generators, and bearings. The maintenance timing indicates a suitable time to perform maintenance. This maintenance timing might be, for example, winter.

[0039] The information indicating the terminal device to which the information is to be transmitted is information indicating the terminal device to which the maintenance information is to be sent. For example, if the malfunction of the wind turbine 20 is serious, it is preferable for a maintenance worker to perform the maintenance. On the other hand, if the malfunction of the wind turbine 20 is minor, user A does not need to request maintenance from a maintenance worker, incurring maintenance fees. Therefore, if the malfunction of the wind turbine 20 is minor, the maintenance information is sent to the user terminal 50. The user terminal 50 can make the user aware of the maintenance information by displaying it.

[0040] In this embodiment, anomalies that do not require maintenance (minor anomalies) are also referred to as "first anomalies." Anomalies that do require maintenance (serious anomalies) are also referred to as "second anomalies."

[0041] As described above, the control device 100 can identify the installation location of the wind turbine 20 indicated by the wind turbine ID based on the wind turbine ID. The control device 100 transmits the installation location, along with maintenance information, to the target terminal device.

[0042] Figure 4 is a functional block diagram of the maintenance terminal 72. The maintenance terminal 72 includes an imaging unit 81, a display control unit 82, a display unit 83, a communication unit 84, and a storage unit 85. The imaging unit 81 corresponds to the “imaging device” in this disclosure. The communication unit 84 corresponds to the “communication device” in this disclosure. The display control unit corresponds to the “control device (or control circuit)” in this disclosure. The display unit 83 corresponds to the “display device” in this disclosure.

[0043] The imaging unit 81 generates imaging data by capturing images of the wind power generation device 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] Furthermore, the communication unit 84 receives information (for example, maintenance information) from other devices (for example, 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. Note that the functions shown in Figure 4 may also be provided by the user terminal 50.

[0045] Furthermore, the storage unit 85 stores maintenance locations. These maintenance locations are included in the maintenance information acquired by the communication unit 84 (see Figure 3). The role of these maintenance locations will be described later.

[0046] [Displayed image] Next, the display screens shown by the maintenance terminal 72 or the user terminal 50 will be described. In the following, the display images of the maintenance terminal 72 will be mainly described. When the maintenance terminal 72 receives maintenance information, it notifies the user of the maintenance information. Here, "notification" refers to the process of making the user aware of the information. "Notification" includes the process of displaying the information and the process of outputting sound indicating the information. In this embodiment, the configuration in which "notification" is the process of displaying the information will be described.

[0047] Next, the display images shown by the display unit 83 of the maintenance terminal will be explained. Figure 5 is an example of a maintenance image 211 based on maintenance information. The maintenance image 211 includes images 201 to 207. Also, the example in Figure 5 shows an example of a display image shown on the display unit 83 of the maintenance terminal, which is a portable terminal.

[0048] Image 201 shows a component that is malfunctioning (hereinafter also referred to as the "malfunctioning component"). By visually inspecting Image 201, maintenance personnel can recognize that "a malfunction has occurred in the wind turbine 20, and identify the malfunctioning component." In the example in Figure 5, Image 201 shows that a malfunction has occurred in component A. In the example in Figure 5, images A through F are shown, but these A through F are merely generalized codes for the images, and in reality, specific information (such as names) is displayed.

[0049] Image 202 is an image that shows the type of maintenance. By viewing Image 202, the maintenance worker can recognize the type of maintenance. In the example in Figure 5, Image 202 is an image that shows the replacement of a part (i.e., the replacement of part A).

[0050] Image 203 shows the maintenance area. Maintenance personnel can identify the maintenance area by viewing Image 203. In the example in Figure 5, Image 203 shows maintenance area B.

[0051] Image 204 shows the tools used. Maintenance personnel can identify the tools by viewing Image 204. In the example in Figure 5, Image 204 shows tool C.

[0052] Image 205 shows the parts used. Maintenance personnel can identify the parts used by visually examining Image 205. The parts used are, for example, replacements for defective parts. In the example in Figure 5, Image 205 shows part D. For example, part D is the same part shown in Image 201.

[0053] Image 206 is an image that indicates the maintenance schedule. By viewing Image 206, maintenance personnel can recognize the maintenance schedule. In the example in Figure 5, Image 206 shows maintenance schedule E.

[0054] Image 207 shows the maintenance location. By viewing Image 207, the maintenance worker can identify the maintenance location. In the example in Figure 5, Image 207 shows maintenance location F. Maintenance location F is the installation location of the wind turbine 20 to be maintained.

[0055] Of the maintenance images 211 in Figure 5, the image data for images 201 to 206 is based on the maintenance information in Figure 5 (see Figure 3). Additionally, the image data for image 207 is based on the wind turbine ID.

[0056] Figure 5 shows an example in which the control device 100 determines that the abnormality of the wind power generation device 20 is a second-level abnormality (serious abnormality) and transmits maintenance information to the maintenance terminal 72 for display on the maintenance terminal 72. As described above, if the control device 100 determines that the abnormality of the wind power generation device 20 is a first-level abnormality (minor abnormality), the control device 100 transmits maintenance information to the user terminal 50 and displays a maintenance image on the user terminal 50.

[0057] Furthermore, when the maintenance period arrives, for example, a maintenance worker takes a maintenance terminal 72, which is a portable device, and goes to the maintenance site (i.e., the location of the wind turbine 20 to be maintained). The maintenance worker then takes an image of the vicinity of the abnormal part of the wind turbine 20 using the maintenance terminal 72. This image may be a still image or a video.

[0058] Furthermore, as explained in Figure 4, the storage unit 85 of the maintenance terminal 72 stores the maintenance locations included in the maintenance information. The display control unit 82 analyzes the imaging data from the imaging unit 81 to identify locations in the imaging data that match the maintenance locations. This identification method may be, for example, an AI-based method, or another method (for example, a matching process).

[0059] The display control unit 82 then displays the captured image of the maintenance area of ​​the wind power generation device 20 in a different manner than other areas. Figure 6 is a diagram showing an example of the captured image 212. In the example of Figure 6, the bearing of the wind power generation device 20 is being photographed by a maintenance worker. The abnormality described is, for example, a loose bolt on the flat plate portion of the bearing. In the example of Figure 6, the display control unit 82 displays the flat plate portion 832 (maintenance area) of the bearing in a different manner than other areas. Regarding the "different manner," for example, the display control unit 82 displays the flat plate portion 832 by flashing it. In the example of Figure 6, the flat plate portion 832 is shown with hatching. The maintenance worker can recognize that the abnormal area is the flat plate portion and that the bolt on the flat plate portion (bolt 834 in the example of Figure 6) is loose by visually inspecting the actual flat plate portion of the bearing.

[0060] [flowchart] Figure 7 is an example of a flowchart showing the processing of the maintenance terminal 72 and the processing of the control device 100. The flowchart in Figure 7 is started every predetermined period of time (for example, 1 hour).

[0061] First, in step S2, the control device 100 acquires 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 transmits the maintenance information to the maintenance terminal 72. In step S6, the maintenance terminal 72 displays the maintenance information (see Figures 5 and 6).

[0062] [Effects / Effects] As shown in Figure 3, the control device 100 generates maintenance information regarding the maintenance of the wind turbine 20 based on the detected data. The control device 100 then transmits the maintenance information to the maintenance terminal 72 or the user terminal 50. The maintenance terminal 72 or the user terminal 50 then notifies the maintenance information. With this configuration, the management system 10 can make the owner of the maintenance terminal 72 (maintenance worker) or the owner of the user terminal 50 (user) aware of the maintenance information regarding the maintenance of the wind turbine 20.

[0063] Furthermore, as shown in Figures 3 and 5, the control device 100 identifies the maintenance type, and the maintenance information includes the maintenance type. With this configuration, the management system 10 can allow the owner of the maintenance terminal 72 (maintenance worker) or the owner of the user terminal 50 (user) to recognize the maintenance type of the wind power generation equipment 20.

[0064] Furthermore, as shown in Figure 5, the maintenance type includes at least one of the following: repair of parts of the wind turbine 20, adjustment of the position of the parts, and inspection of the parts. With this configuration, the owner of the first terminal device can be made aware that the maintenance type is one of the following: repair of parts of the wind turbine, adjustment of the position of the parts, and inspection of the parts.

[0065] Furthermore, as shown in Figures 3 and 5, the control device 100 identifies maintenance locations for the wind turbine 20 based on the detected data. Maintenance information includes information that includes maintenance locations. With this configuration, the management system 10 can enable the owner of the maintenance terminal 72 (maintenance worker) or the owner of the user terminal 50 (user) to recognize the maintenance locations for the wind turbine 20.

[0066] Furthermore, as shown in Figures 3 and 5, the control device 100 identifies the tools and parts necessary for the maintenance of the wind turbine 20 based on the detected data. The maintenance information includes information indicating the tools and parts. With this configuration, the management system 10 can make the owner of the maintenance terminal 72 (maintenance worker) or the owner of the user terminal 50 (user) aware of the tools and parts necessary for the maintenance of the wind turbine 20.

[0067] Furthermore, as shown in Figures 3 and 5, the control device 100 identifies the maintenance timing for the wind turbine 20 based on the detected data. The maintenance information includes information indicating the maintenance timing. With this configuration, the owner of the maintenance terminal 72 (maintenance worker) or the owner of the user terminal 50 (user) can be made aware of the maintenance timing.

[0068] Furthermore, as shown in Figures 3 and 5, the control device 100 identifies the location of the abnormality in the wind turbine based on the detected data. The maintenance information includes information indicating the location of the abnormality. With this configuration, the owner of the maintenance terminal 72 (maintenance worker) or the owner of the user terminal 50 (user) can be made aware of the location of the abnormality in the wind turbine 20.

[0069] Furthermore, as shown in Figures 3 and 5, the control device 100 identifies the degree of abnormality of the control device 100 based on the detected data, and transmits maintenance information to the maintenance terminal 72 and the user terminal 50 according to the degree of abnormality. For example, if the degree of abnormality of the control device 100 is severe, maintenance information is transmitted to the maintenance terminal 72. This allows a maintenance worker to perform maintenance to resolve the severe abnormality. On the other hand, if the degree of abnormality of the control device 100 is minor, maintenance information is transmitted to the user terminal 50. This allows the user to resolve the minor abnormality themselves without having to request a maintenance worker.

[0070] Furthermore, as shown in Figure 5 and other figures, the maintenance terminal 72 or user terminal 50 is a portable terminal device that can be carried by the maintenance worker or user. Therefore, the maintenance worker or user can perform maintenance on the wind power generation equipment 20 while visually checking maintenance information at the maintenance site.

[0071] Furthermore, as shown in Figure 6, the maintenance terminal 72 or user terminal 50 displays the captured image 212 of the maintenance area of ​​the wind turbine 20 in a different manner from other areas. Therefore, the maintenance worker or user can easily identify the maintenance area.

[0072] [Other embodiments] In the above-described embodiment, a configuration was described in which the control device 100 generates maintenance information. However, the device having the function of generating maintenance information may be another device. For example, the other device may be a maintenance terminal 72. For example, the display control unit 82 shown in Figure 4 has the function of the estimation unit 1102 (the function of generating maintenance information). In other words, the display control unit 82 generates maintenance information and displays it on the display unit 83 (display). Furthermore, the hardware configuration of a maintenance terminal 72 employing such a configuration is the configuration shown in Figure 2 with the addition of a display unit 83 (display). With such a configuration, the maintenance terminal 72 itself can generate and display maintenance information.

[0073] [Differentiation] (1) In the example shown in Figure 3, an example in which the input data includes a maintenance schedule was described. However, the input data may not include a maintenance schedule. The control device 100 may also use other information from the maintenance schedule to determine the timing of maintenance. Other information may include, for example, the delivery date of replacement parts for defective parts and the usable period of the transporter. The delivery date of replacement parts may be information transmitted from the terminal of the delivery company that delivers the replacement parts. The transporter also transports the maintenance personnel or users to a special location when the wind turbine 20 is installed in a special location. If the special location is at sea, the transporter will be a ship.

[0074] (2) In the above-described embodiment, the control device 100 was configured to generate maintenance information mainly using AI. 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 may generate maintenance information using this database.

[0075] [Note] (Section 1) The management system of this disclosure comprises a detection unit that acquires detection data of a wind turbine, a control device, and a first terminal device. The control device generates maintenance information related to the maintenance of the wind turbine based on the detection data. The control device transmits the maintenance information to the first terminal device.

[0076] (Paragraph 2) The control system described in Paragraph 1, wherein the control device identifies the maintenance type of the wind power generation equipment based on the detected data. The maintenance information includes information indicating the maintenance type.

[0077] (Clause 3) The management system described in paragraph 2, wherein the maintenance type includes at least one of the following: repair of components of a wind turbine, adjustment of the position of said components, and inspection of said components.

[0078] (Article 4) The control system described in any one of paragraphs 1 to 3, wherein the control device identifies the maintenance location of the wind turbine based on the detected data. The maintenance information includes information indicating the maintenance location.

[0079] (Article 5) A management system described in any one of paragraphs 1 to 4, wherein the control device identifies the tools and parts necessary for the maintenance of the wind turbine based on the detected data. The maintenance information includes information indicating the tools and parts.

[0080] (Article 6) A management system described in any one of paragraphs 1 to 5, wherein the control device identifies the maintenance timing for the wind turbine based on the detected data. The maintenance information includes information indicating the maintenance timing.

[0081] (Clause 7) A management system described in any one of paragraphs 1 to 6, wherein the control device identifies the location of the abnormality in the wind power generation equipment based on the detected data. Maintenance information includes information indicating the location of the abnormality.

[0082] (Clause 8) A management system as described in any one of paragraphs 1 to 7, wherein the management system further comprises a second terminal device. The control device identifies the degree of abnormality of the wind power generation equipment based on the detected data and transmits maintenance information to either the first terminal device or the second terminal device according to the degree of abnormality.

[0083] (Paragraph 9) A management system described in any one of paragraphs 1 to 8, wherein the first terminal device is a portable terminal device.

[0084] (Paragraph 10) A management system according to any one of paragraphs 1 to 9, wherein the first terminal device comprises an imaging device for imaging a wind power generation device, a display device for displaying the image captured by the imaging device, and a display control device. The display control device displays the image of the maintenance area of ​​the wind power generation device in a different manner from other areas.

[0085] (Section 11) The control device of the present disclosure comprises an input interface, a processor, and an output interface. The input interface receives detection data from a detection unit that acquires detection data of a wind turbine. The processor generates maintenance information relating to the maintenance of the wind turbine based on the detection data. The output interface transmits the maintenance information to a first terminal device.

[0086] (Section 12) The terminal device of the present disclosure comprises an input interface, a processor, and a display. The input interface receives detection data from a detection unit that acquires detection data of a wind turbine. The processor generates maintenance information relating to the maintenance of the wind turbine based on the detection data, and the display displays an image based on the maintenance information.

[0087] (Paragraph 13) The management method of the Disclosure comprises receiving input of detection data from a detection unit that acquires detection data of a wind power generation system, generating maintenance information relating to the maintenance of the wind power generation system based on the detection data, and transmitting the maintenance information to a first terminal device.

[0088] The embodiments disclosed herein should be considered in all respects to be illustrative and not restrictive. The scope of the present invention is indicated by the claims rather than by the description of the embodiments above, and all modifications within the meaning and scope equivalent to the claims are intended to be included. [Explanation of Symbols]

[0089] 10 Management system, 11 Processing unit, 12 Storage device, 14 Communication device, 20 Wind power generation device, 30 Data collection device, 45 Detection unit, 50 User terminal, 72 Maintenance terminal, 81 Imaging 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 Images, 211 Maintenance image, 212 Acquired image, 832 Planar unit, 1101 Input unit, 1102 Estimation unit, 1104 Output unit, 1211 Neural network.

Claims

1. A detection unit that acquires detection data from wind power generation equipment, A memory that stores a trained estimation model that has been trained to output maintenance information regarding the maintenance of the wind power generation equipment when detection data and a maintenance schedule are input, A control device that generates maintenance information related to the maintenance of the wind power generation equipment by inputting the detection data and the maintenance schedule detected by the detection unit into the estimation model, The device comprises a first terminal device, The control device is a management system that transmits the maintenance information to the first terminal device.

2. The control device identifies the type of maintenance required for the wind power generation equipment by inputting the detection data and the maintenance schedule into the estimation model. The management system according to claim 1, wherein the maintenance information includes information indicating the type of maintenance.

3. The management system according to claim 2, wherein the maintenance type includes at least one of the following: repair of the components of the wind turbine, adjustment of the position of the components, and inspection of the components.

4. The control device identifies the maintenance locations of the wind power generation equipment by inputting the detection data and the maintenance schedule into the estimation model. The management system according to any one of claims 1 to 3, wherein the maintenance information includes information indicating the maintenance location.

5. The control device identifies the tools and parts necessary for the maintenance of the wind power generation equipment by inputting the detection data and the maintenance schedule into the estimation model. The management system according to any one of claims 1 to 3, wherein the maintenance information includes information indicating the tools and parts.

6. The control device identifies the maintenance timing for the wind power generation equipment by inputting the detection data and the maintenance schedule into the estimation model. The management system according to any one of claims 1 to 3, wherein the maintenance information includes information indicating the maintenance period.

7. The control device identifies the abnormal location of the wind power generation equipment by inputting the detection data and the maintenance schedule into the estimation model. The management system according to any one of claims 1 to 3, wherein the maintenance information includes information indicating the location of the abnormality.

8. The aforementioned management system further includes a second terminal device, The control device is By inputting the detection data and the maintenance schedule into the estimation model, the degree of abnormality of the wind power generation equipment is identified. The management system according to any one of claims 1 to 3, wherein the maintenance information is transmitted to either the first terminal device or the second terminal device according to the degree of abnormality.

9. The management system according to any one of claims 1 to 3, wherein the first terminal device is a portable terminal device.

10. The first terminal device is An imaging device for imaging the wind power generation device, A display device that displays the captured image captured by the aforementioned imaging device, Equipped with a display control device, The management system according to claim 9, wherein the display control device displays the captured image of the maintenance location of the wind power generation device in a manner different from that of other locations.

11. An input interface that receives detection data from a detection unit that acquires detection data from a wind power generation device, A memory that stores a trained estimation model that has been trained to output maintenance information regarding the maintenance of the wind power generation equipment when detection data and a maintenance schedule are input, A processor that generates maintenance information related to the maintenance of the wind power generation equipment by inputting the detection data and the maintenance schedule detected by the detection unit into the estimation model, A control device comprising an output interface for transmitting the maintenance information to a terminal device.

12. An input interface that receives detection data from a detection unit that acquires detection data from a wind power generation device, A memory that stores a trained estimation model that has been trained to output maintenance information regarding the maintenance of the wind power generation equipment when detection data and a maintenance schedule are input, A processor that generates maintenance information related to the maintenance of the wind power generation equipment by inputting the detection data and the maintenance schedule detected by the detection unit into the estimation model, A terminal device comprising a display that shows an image based on the aforementioned maintenance information.

13. The system receives input of detection data from a detection unit that acquires detection data from a wind power generation device, By inputting the input detection data and maintenance schedule into a trained estimation model that has been trained to output maintenance information regarding the wind power generation equipment when detection data and a maintenance schedule are input, maintenance information regarding the maintenance of the wind power generation equipment is generated. A management method comprising transmitting the maintenance information to a terminal device.

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