Information processing device and information processing method

Abstract

To determine a maintenance schedule for a high degree of abnormality as soon as possible, when the abnormality is detected in power generation equipment.SOLUTION: A computation unit 102 identifies a type of a second error. The computation unit determines a maintenance schedule for the second error based on the type of the second error. A communication interface 106 outputs the maintenance schedule.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to an information processing device and an information processing method. [Background technology]

[0002] For example, JP 2013-185507 A (Patent Document 1) discloses a status monitoring system for a wind turbine generator. This status monitoring system includes a sensor that detects a physical quantity (e.g., vibration value) at a target position of the wind turbine generator. The status monitoring system diagnoses the presence or absence of an abnormality in the wind turbine generator based on the physical quantity detected by the sensor. The status monitoring system then displays the diagnosis result on a display unit of a monitoring terminal. The manager of the wind turbine generator or the like then visually confirms the diagnosis result. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2013-185507 A Summary of the Invention [Problem to be solved by the invention]

[0004] In the above-mentioned condition monitoring system, the diagnosis result may indicate that a high degree of abnormality has been detected in the power generating equipment. In this case, if the manager who has been notified of the diagnosis result has little maintenance experience, the manager may not be able to determine whether maintenance is necessary or when to schedule the maintenance.

[0005] The present disclosure has been made to solve the above-mentioned problems, and its purpose is to quickly determine a maintenance schedule for a power generation device when a highly abnormal condition is detected in the device. [Means for solving the problem]

[0006] The information processing device of the present disclosure is a device related to a power generation device. The power generation device includes a sensor that detects a physical quantity related to the operation of the power generation device. The information processing device includes an interface and a calculation device. The calculation device identifies a first abnormality of the power generation device when the physical quantity satisfies a first condition. The calculation device identifies a second abnormality of the power generation device, the second abnormality being more abnormal than the first abnormality, when the physical quantity satisfies a second condition. The calculation device identifies a type of the second abnormality. The calculation device determines a maintenance schedule for the second abnormality based on the type of the second abnormality. The interface outputs the maintenance schedule.

[0007] The information processing method of the present disclosure comprises identifying a first abnormality of the power generation equipment when a physical quantity related to operation of the power generation equipment satisfies a first condition. The information processing method comprises identifying a second abnormality of the power generation equipment, the second abnormality being more abnormal than the first abnormality, when the physical quantity satisfies a second condition. The information processing method comprises identifying a type of the second abnormality. The information processing method comprises determining a maintenance schedule for the power generation equipment based on the type of the second abnormality. The information processing method comprises outputting the maintenance schedule. Effect of the Invention

[0008] According to the present disclosure, when a highly abnormal condition is detected in a power generation device, a maintenance schedule for the abnormal condition can be determined quickly. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of a management system according to the present disclosure. [Diagram 2] FIG. 13 is a diagram for explaining an abnormality in a wind turbine generator. [Diagram 3] FIG. 2 is a functional block diagram of the monitoring device. [Figure 4] FIG. 2 is a diagram for explaining an example of a first DB. [Diagram 5] FIG. 11 is a diagram for explaining an example of a second DB. [Figure 6] FIG. 11 is a diagram for explaining an example of a third DB. [Figure 7] FIG. 11 is a diagram for explaining an example of a first report. [Figure 8] FIG. 11 is a diagram for explaining an example of a second report. [Figure 9] FIG. 11 is a diagram for explaining an example of a screen displayed on a worker terminal. [Figure 10] 11 is a diagram for explaining change control of a second threshold value. FIG. [Figure 11] 11 is a diagram for explaining change control of a second threshold value. FIG. [Figure 12] 4 is a flowchart showing a main process of the monitoring device. [Figure 13] 4 is a flowchart showing main processes of the worker terminal and the monitoring device. [Figure 14] FIG. 11 is a functional block diagram of a monitoring device according to another embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following drawings, the same or corresponding parts are designated by the same reference numerals, and the description thereof will not be repeated.

[0011] First Embodiment Fig. 1 is a diagram showing an example of the configuration of a management system 10 according to the present disclosure. The management system 10 according to the present disclosure includes M (M is an integer equal to or greater than 1) power generation units 45, a monitoring device 100, a user terminal 50, a worker terminal 60, a maintenance terminal 70, a weather server 80, and a network NW. In the example of Fig. 1, the power generation unit 45 and the power generation unit 45A are shown as an example of the M power generation units. The control devices 40, 40A, the monitoring device 100, the user terminal 50, the worker terminal 60, the maintenance terminal 70, and the weather server 80, which will be described later, are capable of communicating with each other via the network NW.

[0012] The M power generation units 45 are related to each other. More specifically, the wind power generation devices of the M power generation units 45 are related to each other. Here, "related" mainly means that the M wind power generation devices 20 have the same configuration. As a variant, "related" may mean at least one of "the M wind power generation devices 20 start operation at the same time" and "they are installed at the same site (for example, the same wind farm)."

[0013] The power generation unit 45 includes a wind power generation device 20, a collecting device 30, a control device 40, and N (N is an integer equal to or greater than 1) vibration sensors Sn (n=1,...,N, N is an integer equal to or greater than 1). The power generation unit 45A includes a wind power generation device 20A, a collecting device, a control device 40A, and multiple vibration sensors. Note that the collecting device and multiple sensors of the power generation unit 45A are not shown in FIG. 1.

[0014] The wind turbine generator 20 corresponds to the "power generation device" in the present disclosure. The wind turbine generator 20A corresponds to the "other power generation device" in the present disclosure. The operator terminal 60 corresponds to the "predetermined terminal" in the present disclosure.

[0015] The wind power generation device 20 is a device that receives wind power and generates power. The wind power generation device 20 has a bearing unit, a generator, and the like. Each of the vibration sensors Sn detects a vibration value of a predetermined monitoring target location (e.g., a bearing unit) of the wind power generation device 20. The vibration value corresponds to a "physical quantity" in the present disclosure. The vibration value is represented, for example, by any one of the displacement, speed, and acceleration of the monitoring target location. The vibration values ​​detected by the N vibration sensors Sn are output to a collection device 30. The collection device 30 collects the vibration values ​​detected by the vibration sensors Sn. The "vibration values ​​detected by the vibration sensors Sn" correspond to the "physical quantity related to the operation of the power generation device" in the present disclosure.

[0016] The vibration values ​​collected by the collecting device 30 are output to the control device 40. The control device 40 detects the presence or absence of an abnormality in the wind power generation device 20 and the location of the abnormality based on the vibration values ​​(time series data) from the collecting device 30. The control device 40 may also generate a frequency spectrum by performing a fast Fourier transform (FFT) on the vibration values ​​(time series data) accumulated over a predetermined period (for example, one month). The control device 40 may then detect the presence or absence of an abnormality in the wind power generation device 20 and the location of the abnormality based on the frequency spectrum.

[0017] In this way, the physical quantity (vibration value) is used to identify the presence or absence of an abnormality in the wind turbine generator 20. In this embodiment, the control device 40 executes an abnormality detection process to detect the presence or absence of an abnormality in the wind turbine generator 20. However, as a modified example, the monitoring device 100 may execute the abnormality detection process.

[0018] In this embodiment, "abnormality" refers to, for example, damage to the wind power generation device 20. In this embodiment, "abnormal location" refers not only to a location where an abnormality has actually occurred, but also to a location where an abnormality is presumed and a location where an abnormality is predicted. An abnormality prediction location is a location where no abnormality has occurred at present, but where an abnormality is predicted to occur in the future.

[0019] Each of the M wind power generation devices 20 is assigned a wind power generation device ID (identification) for identifying the wind power generation device 20. The vibration sensor Sn is assigned a vibration sensor ID for identifying the vibration sensor.

[0020] When the control device 40 detects an abnormality in the wind turbine generator 20, it transmits abnormality information to the monitoring device 100. The abnormality information includes the wind turbine generator ID of the wind turbine generator 20 in which the abnormality has occurred, abnormality level information, and abnormality type information.

[0021] The abnormality level information is information indicating whether the abnormality that has occurred is a first abnormality or a second abnormality, which will be described later. The abnormality type information is information indicating the abnormal location and the type of abnormality (damage, etc.). The abnormality type information is, for example, an abnormality type ID, which will be described later.

[0022] The user terminal 50 is a terminal device owned by a user A. "User A" is typically a person who owns a wind power generation device 20, such as a power generation company. The user terminal 50 is typically a mobile terminal that can be carried by the user A. The user terminal 50 may also be a dedicated computer terminal.

[0023] The maintenance terminal 70 is a terminal owned by a maintenance contractor for the wind power generation device 20 and is operated by a maintenance manager D of the maintenance contractor. The maintenance terminal 70 is a terminal related to the maintenance of the wind power generation device 20. "Maintenance" in this disclosure includes inspection of abnormal parts of the wind power generation device 20 and repair of the abnormal parts. The maintenance terminal 70 corresponds to the "terminal of the worker performing maintenance" in this disclosure.

[0024] The maintenance terminal 70 is, for example, a terminal that receives the request for maintenance. Specifically, when the monitoring device 100 identifies a second abnormality, which will be described later, it transmits maintenance information for requesting maintenance to the maintenance terminal 70. The maintenance information includes the address of the wind power generation device 20 to be maintained, the date and time of maintenance, and the like. The monitoring device 100 transmits the maintenance information to the maintenance terminal 70 to request a maintenance company to perform maintenance on the wind power generation device 20.

[0025] The display unit of the maintenance terminal 70 displays a request image based on the maintenance information. Manager D, who has visually confirmed the request image, arranges for worker B to arrive at the address and at the date and time displayed in the request image. "Worker B" typically refers to a person who performs maintenance on the abnormality of the wind power generation device 20.

[0026] The worker terminal 60 is a terminal device held by a worker B who is dispatched to the wind power generation device 20. The worker terminal 60 is typically a mobile terminal that can be carried by the worker B. The worker B inputs maintenance result information (described later) to the worker terminal 60.

[0027] The weather server 80 outputs meteorological information for the location where the wind power generation device 20 is installed to the monitoring device 100. The meteorological information is information that indicates the future weather from the present time at the location where the wind power generation device 20 is installed, and includes, for example, wind speed and probability of precipitation.

[0028] The monitoring device 100 is a terminal owned by the manager of the M wind power generation devices 20. The monitoring device 100 corresponds to the "information processing device for power generation devices" of the present disclosure. The monitoring device 100 determines maintenance schedules, as described below. The monitoring device 100 has a calculation device 102, a memory 104, and a communication interface 106. Note that the communication interface is written as "communication I / F" in FIG. 1. The calculation device 102 executes various processes and calculations. Each component is connected to each other by a data bus. The memory 104 includes a ROM (Read Only Memory), a RAM (Random Access Memory), and the like.

[0029] The arithmetic device 102 is composed of a central processing unit (CPU), a field-programmable gate array (FPGA), a graphics processing unit (GPU), and the like. The arithmetic device 102 may be composed of at least one of the CPU, the FPGA, and the GPU. The arithmetic device 102 may also be composed of a processing circuitry. The arithmetic device 102 is also referred to as "at least one processor" or "arithmetic circuitry."

[0030] Memory 104 includes a volatile storage area (e.g., a working area) that temporarily stores program codes, work memories, etc. when the arithmetic unit 102 executes an arbitrary program. For example, memory 104 includes RAM (Random Access Memory) and ROM (Read Only Memory).

[0031] ROM stores the program executed by the arithmetic unit 102. RAM temporarily stores data generated by the execution of the program in the arithmetic unit 102. RAM can function as a temporary data memory used as a working area.

[0032] The communication interface 106 is configured to communicate with an external device (such as the control device 40) of the monitoring device 100.

[0033] [Regarding Abnormalities] Next, the abnormalities of the wind power generation device 20 will be described. FIG. 2 is a diagram for explaining the abnormalities of the wind power generation device 20. The vertical axis in FIG. 2 is the vibration value V detected by an arbitrary vibration sensor among the vibration sensors Sn, and the horizontal axis indicates the time t.

[0034] In the present embodiment, two threshold values Th1 and Th2 are defined for the physical quantity (vibration value). However, Th1 < Th2. In the present embodiment, the smaller the vibration value V, the more preferable, and the greater the vibration value V, the higher the degree of abnormality.

[0035] In the example of FIG. 2, 0 ≦ vibration value V < Th1 is set as the normal range. Also, Th1 ≦ vibration value V < Th2 is set as the first abnormal range. Further, Th2 ≦ vibration value V is set as the second abnormal range. Note that the first abnormal range may be further divided into a plurality of ranges.

[0036] When the vibration value V belongs to the normal range (less than the threshold value Th1), the control device 40 determines that the location corresponding to the vibration sensor that detected the vibration value V is normal. Also, when the vibration value V belongs to the first abnormal range (Th1 ≤ vibration value V < Th2), the control device 40 determines that the location corresponding to the vibration sensor that detected the vibration value V is in the first abnormality. Further, when the vibration value V belongs to the second abnormal range (Th2 ≤ vibration value V), the control device 40 determines that the location corresponding to the vibration sensor that detected the vibration value V is in the second abnormality.

[0037] The fact that the vibration value V belongs to the first abnormal range corresponds to an example of "the physical quantity satisfying the first condition" in the present disclosure, and the fact that the vibration value V belongs to the second abnormal range corresponds to an example of "the physical quantity satisfying the second condition" in the present disclosure.

[0038] Here, the second abnormality has a greater degree of abnormality than the first abnormality. A greater degree of abnormality means, for example, greater damage. If the operation of the wind power generation device 20 continues with the second abnormality of the wind power generation device 20 remaining, an event such as the inoperability of the wind power generation device 20 may occur.

[0039] Therefore, when the second abnormality of the wind power generation device 20 occurs, it is preferable to perform maintenance (emergency maintenance) on the second abnormality promptly. However, even if the monitoring device 100 notifies the administrator C or user A of the wind power generation device 20 (hereinafter, also simply referred to as "administrator C, etc.") that the second abnormality of the wind power generation device 20 has occurred, if the administrator C, etc. do not have maintenance knowledge, the administrator C, etc. cannot determine whether to execute emergency maintenance. Also, as a result of the administrator C, etc. being troubled about whether to execute emergency maintenance and deciding to execute emergency maintenance, the emergency maintenance may be delayed only during the period when the administrator C, etc. are troubled, and the second abnormality may increase.

[0040] Therefore, in this embodiment, when a second abnormality is detected in the wind power generation device 20, the monitoring device 100 determines a maintenance schedule for the second abnormality and outputs the maintenance schedule. In this way, the monitoring device 100 can determine the maintenance schedule by itself without depending on the judgment of the manager C or the like, and therefore can determine the maintenance schedule promptly.

[0041] [Functional block diagram of monitoring device 100] Fig. 3 is a functional block diagram of the monitoring device 100. The monitoring device 100 has a receiving unit 112, a processing unit 114, a transmitting unit 116, and a storage unit 118. The receiving unit 112 and the transmitting unit 116 correspond to the communication interface 106 in Fig. 1. The processing unit 114 corresponds to the arithmetic device 102 in Fig. 1. The storage unit 118 corresponds to the memory 104, and at least a part of the storage area of ​​the memory 104 is applied to the storage unit 118.

[0042] The receiving unit 112 acquires the above-mentioned abnormality information from the control device 40. Furthermore, the receiving unit 112 receives maintenance result information, which will be described later, from the worker terminal 60. The monitoring device 100 is capable of transmitting a weather request signal to the weather server 80. Upon receiving the weather request signal, the weather server 80 transmits weather information to the monitoring device 100. The receiving unit 112 acquires the weather information transmitted from the weather server 80. The information received by the receiving unit 112 is output to the processing unit 114.

[0043] The storage unit 118 stores a threshold value 121, a past operating record 131, a first DB (Data Base) 141, a second DB 142, and a third DB 143.

[0044] The threshold value 121 is a first threshold value Th1 and a second threshold value Th2 (see FIG. 2) for a plurality of monitoring target locations of each of the M wind power generation devices 20. The past operation record is information indicating the operation record of each of the M wind power generation devices 20 for a predetermined period of time in the past (e.g., one year). The operation record includes, for example, the power generation amount of the wind power generation device 20 and the rotation speed of the wind turbine of the wind power generation device 20. The first DB 141, the second DB 142, and the third DB 143 will be described later.

[0045] The processing unit 114 determines that a first abnormality has occurred when the abnormality level information of the abnormality information acquired from the control device 40 indicates a first abnormality. That is, the processing unit 114 determines that a first abnormality has occurred in the wind turbine power generation device 20 when the vibration value falls within a first range. Then, the processing unit 114 generates a first report, which will be described later.

[0046] Furthermore, when the abnormality level information of the abnormality information acquired from the control device 40 indicates a second abnormality, the processing unit 114 determines that a second abnormality has occurred. That is, the processing unit 114 determines that a second abnormality has occurred in the wind power generation device 20 when the vibration value falls within a second range. Then, the processing unit 114 determines a maintenance schedule using predetermined information described below. Furthermore, the processing unit 114 generates a second report including the determined maintenance schedule.

[0047] Maintenance for the first abnormality is typically simple measures such as endoscopic inspection and greasing, whereas maintenance for the second abnormality (emergency maintenance) is large-scale measures such as replacing bearings and other parts.

[0048] The transmission unit 116 displays the reports (first report and second report) generated by the processing unit 114 on a display (not shown) of the monitoring device 100. This enables the monitoring device 100 to allow the administrator C to recognize the contents of the reports.

[0049] Furthermore, the transmission unit 116 transmits the report generated by the processing unit 114 to the user terminal 50 corresponding to the wind turbine power generation device ID in which it has been determined that an abnormality has been detected based on the abnormality information (see FIG. 8 described later). This enables the monitoring device 100 to make the user A aware of the report.

[0050] 4 is a diagram showing an example of the first DB 141. Wind turbine generator IDs and user terminal IDs are associated with each other in the first DB 141. For example, a wind turbine generator ID: W1 is associated with a user terminal ID: U1.

[0051] The processing unit 114 refers to the first DB to identify the user terminal ID corresponding to the wind turbine generator ID included in the anomaly information. Then, the processing unit 114 transmits the generated report to the user terminal 50 having the identified user terminal ID.

[0052] 5 is a diagram showing an example of the second DB 142. The second DB 142 is a database related to maintenance. In the second DB 142, for each abnormality type ID, the content of the maintenance, the period required for the maintenance, the number of workers required for the maintenance, the estimated cost, and the parts used are associated with each other.

[0053] The abnormality type ID is information for identifying the location and type of the abnormality. The maintenance content is the content of the maintenance for repairing the abnormality indicated by the abnormality type ID. The maintenance content includes, for example, repairing bearing parts and changing lubricating oil. The "period required for maintenance" is, for example, the period from the start to the end of the maintenance. The "number of workers required for maintenance" is, for example, the number of workers required for the maintenance. The "estimated cost" is, for example, the estimated cost of the maintenance. The "parts used" is the type and number of parts (for example, consumables) required for the maintenance.

[0054] 5, for example, A1 is associated with the abnormality type ID: X1 as the "contents required for maintenance," and B1 days is associated with the "period required for maintenance." In addition, C1 person is associated with the abnormality type ID: X1 as the "number of workers required for maintenance," D1 yen is associated with the abnormality type ID: X1 as the "estimated cost," and M1 is associated with the abnormality type ID: X1 as the "parts used."

[0055] 6 is a diagram showing an example of the third DB 143. The third DB 143 is a database for checking availability (schedule) of workers. In the third DB 143, availability is associated with each worker ID. The worker ID is identification information assigned in association with each of all workers who perform maintenance of the wind power generation device 20. All of the workers belong to the above-mentioned maintenance company.

[0056] The processing unit 114 uses the type of the second abnormality (abnormality type ID) and the predetermined information to determine a schedule (maintenance schedule) for maintenance to repair the second abnormality. This predetermined information includes at least one of (a) a period required for maintenance, (b) the number of workers required for maintenance, (c) a schedule of the workers required for maintenance, (d) future weather information for the installation location of the wind power generation device 20, (e) past operating records of the wind power generation device 20, and (f) whether or not parts used are in stock. In this embodiment, the predetermined information is made up of all of the information (a) to (f).

[0057] When the processing unit 114 identifies that a second abnormality has occurred by analyzing the abnormality information, it identifies the abnormality type ID included in the abnormality information. Then, the processing unit 114 refers to the second DB to identify the type of maintenance corresponding to the abnormality type ID, the period required for the maintenance, the number of workers required for the maintenance, the estimated cost, and the parts used. After identifying the period and number of workers required for the maintenance, the processing unit 114 refers to the third DB 143 to identify the number of workers who can perform the maintenance over that period.

[0058] Furthermore, the processing unit 114 checks whether the identified used parts are in stock, and identifies a period during which the used parts are in stock as a maintenance period.

[0059] Moreover, the processing unit 114 transmits the above-mentioned weather request signal to the weather server 80 to obtain weather information for the installation location of the wind power generation device 20 and refers to the weather information. As described above, the weather information is information indicating future weather from the present time at the location where the wind power generation device 20 is installed, such as wind speed and precipitation probability. In general, the operation of the wind power generation device 20 is stopped during a period in which maintenance is performed. Therefore, for example, on a day when the wind speed is higher than a predetermined wind volume reference value, the wind power generation device 20 can generate a large amount of power. Therefore, the processing unit 114 excludes days with high wind speed from the maintenance schedule. In addition, in general, the maintenance burden of the worker B is greater on rainy days compared to sunny days. In addition, when the wind power generation device 20 is provided with an openable roof, the work performed by the worker B may include a specific work to be performed with the roof open. In this case, since the roof cannot be opened on a rainy day, it is difficult for the worker B to perform the specific work. Therefore, the processor 114 excludes days on which the probability of precipitation is higher than a predetermined probability reference value from the maintenance schedule.

[0060] The processing unit 114 also refers to the past operation record 131 of the wind power generation device 20. For example, in the past operation record 131 of the wind power generation device 20, it is assumed that the amount of power generated was high in the period from C to D of month B in year A. The amount of power generated is also expected to be high one year later, from C to D of month B in year A+1 (a period after the present time). Therefore, the processing unit 114 excludes this period from the maintenance schedule.

[0061] As described above, the processing unit 114 determines the maintenance schedule using all of the information (a) to (f). Note that, in the above description, the processing unit 114 mainly determines the maintenance schedule based on the information in the DB, but, for example, the processing unit 114 may determine the maintenance schedule using AI (Artificial Intelligence). For example, the processing unit 114 may output the maintenance schedule by applying the abnormality information from the control device 40 to the trained model.

[0062] Returning to Fig. 3 for explanation, if the processing unit 114 determines that the anomaly information acquired from the control device 40 includes information indicating that a second anomaly has occurred, and if the user A permits emergency maintenance (see step S14 in Fig. 12 described below), the transmission unit 116 transmits the maintenance information to the maintenance terminal 70. The maintenance information includes the address of the wind power generation device 20 to be maintained, information indicating that emergency maintenance will be performed, the maintenance schedule, and the above-mentioned predetermined information used to determine the maintenance schedule.

[0063] The maintenance terminal 70 displays a request image based on the maintenance information on the display unit of the maintenance terminal 70. This allows the manager D to recognize the address of the wind power generation device 20 to be maintained, information indicating that emergency maintenance will be performed, the maintenance schedule, and the predetermined information used to determine the maintenance schedule.

[0064] [Report] Next, a description will be given of the report generated by the processing unit 114. Fig. 7 is a diagram showing an example of the first report 301. As described above, the processing unit 114 generates the first report 301 when a first abnormality is identified.

[0065] The first report 301 has a title of "Normal Report" and includes recommendation information 351. The recommendation information 351 is information indicating that maintenance is recommended to address the first abnormality. In the example of Fig. 7, the image shows the text "We recommend that you perform maintenance on the bearings at the next inspection."

[0066] FIG. 8 is a diagram showing an example of the second report 302. As described above, the processing unit 114 generates the second report 302 when the second abnormality is identified. The second report 302 has a title of "urgent report" and includes abnormality type information 361, maintenance content information 362, arrangement information 363, maintenance schedule information 364, and estimate amount information 365. The abnormality type information 361 is information indicating the type of serious abnormality (second abnormality). In the example of FIG. 8, the abnormality type information 361 is an image of the text "A serious abnormality has been found in the bearing unit." The abnormality type information 361 allows user A to recognize the type of the second abnormality.

[0067] The maintenance content information 362 is information indicating the content of the emergency maintenance. In the example of Fig. 8, the maintenance content information 362 is an image of the text "Emergency maintenance must be performed on the bearings." The maintenance content information 362 allows user A to recognize the content of the emergency maintenance.

[0068] The arrangement information 363 is information indicating that emergency maintenance has been arranged. In the example of Fig. 8, the arrangement information 363 is an image of the text "Emergency maintenance has been arranged." The arrangement information 363 allows user A to recognize that emergency maintenance has been arranged.

[0069] The maintenance schedule information 364 is information indicating the maintenance schedule determined by the processing unit 114. In the example of Fig. 8, the maintenance schedule information 364 is an image of the text "A month, B day." The maintenance schedule information 364 allows user A to recognize the maintenance schedule for emergency maintenance.

[0070] Estimated amount information 365 is information indicating the estimated amount of emergency maintenance. In the example of Fig. 8, estimated amount information 365 is an image of the text "The estimated amount is D1 yen." User A can recognize the estimated amount of emergency maintenance from estimated amount information 365.

[0071] The user terminal 50 displays the second report and receives from the user A whether or not emergency maintenance is permitted. If the user A inputs that emergency maintenance is permitted, the monitoring device 100 transmits the maintenance information to the maintenance terminal 70. On the other hand, if the user A inputs that emergency maintenance is not permitted, the monitoring device 100 does not transmit the maintenance information to the maintenance terminal 70.

[0072] [Maintenance result information] Next, information input to the worker terminal 60 will be described. FIG. 9 shows an example of a screen displayed on the worker terminal 60. FIG. 9(A) shows an example of an input screen 401, and FIG. 9(B) shows an example of a transmitted screen 402. For example, worker B or the like performs a predetermined operation on the worker terminal 60, which causes the worker terminal 60 to display the input screen 401. In this embodiment, the display control of the input screen 401 is executed under the control of the monitoring device 100. However, as a modified example, the worker terminal 60 may execute the display control of the input screen 401 under the control of the worker terminal 60 itself.

[0073] An image 411 without abnormality, an image 412 with abnormality, an input area 414, and a send button 415 are displayed on the input screen 401. The image 411 without abnormality, the image 412 with abnormality, and the input area 414 are images for inputting maintenance result information by the worker B. In the example of Fig. 9, the worker B can specify either the image 411 without abnormality or the image 412 with abnormality by using a radio button.

[0074] For example, worker B is dispatched to the wind power generation device 20 that is the target of emergency maintenance, and inspects the portion of the wind power generation device 20 that is determined to have the second abnormality. However, when worker B inspects the portion determined to have the second abnormality, there are cases where no abnormality actually occurs in the portion. In this case, worker B designates the no-abnormality image 411 and operates the send button 415.

[0075] Furthermore, if operator B determines as a result of inspecting the portion of the wind power generation device 20 determined to have the second abnormality that an abnormality has occurred, operator B designates an abnormality image 412. Furthermore, operator B inputs the details of the emergency maintenance (such as replacing a bearing) in input area 414. Then operator B operates send button 415.

[0076] When the send button 415 is operated, the worker terminal 60 sends the wind power generation device ID of the maintenance target and the maintenance result information entered on the input screen 401 to the monitoring device 100. At the same time, the worker terminal 60 displays the sent screen of FIG. 9(B). By displaying this sent screen, the worker terminal 60 can recognize that the maintenance result information has been sent to the monitoring device 100. Note that the worker terminal 60 or the monitoring device 100 may be configured to send the maintenance result information entered by worker B to the user terminal 50.

[0077] 9, the monitoring device 100 causes the worker terminal 60 to maintain the display of the input screen 401 until the maintenance result information is input on the input screen 401. In other words, the worker terminal 60 displays the transmitted screen 402 only when the maintenance result information is input on the input screen 401.

[0078] [Change of second threshold Th2] The processing unit 114 (FIG. 3) of the monitoring device 100 executes change control to change the second threshold value Th2 based on the maintenance result information transmitted from the worker terminal 60. FIG. 10 and FIG. 11 are diagrams for explaining the change control of the second threshold value Th2. In this embodiment, either the range greater than the second threshold value Th2 or the range smaller than the second threshold value Th2 is a detection range in which the second abnormality is detected, and the other is an undetected range in which the second abnormality is not detected. In the example of FIG. 10, as described in FIG. 2, the range greater than the second threshold value Th2 is a detection range (second abnormal range) in which the second abnormality is detected, and the range smaller than the second threshold value Th2 is an undetected range (first abnormal range and normal range) in which the second abnormality is not detected.

[0079] Fig. 10(A) is a diagram showing the second threshold value Th2 before the change control is executed, and Fig. 10(B) is a diagram showing the second threshold value Th2 after the change control is executed. There are cases where an operator B inspects a location determined to have a second abnormality and finds that no abnormality has occurred at the location. In this case, if the second threshold value Th2 is not changed, even if a second abnormality is identified again at the location, there is a high possibility that the result of the maintenance (inspection) for the second abnormality again will be that no abnormality has actually occurred.

[0080] Therefore, when the maintenance result information indicates that no abnormality has occurred in the wind power generation device 20 (when an image without abnormality 411 is specified), the monitoring device 100 increases the second threshold value Th2 as shown in Fig. 10. In other words, the processing unit 114 executes change control to change the second threshold value Th2 so that it falls within the detection range before the change control. Therefore, the monitoring device 100 can suppress the detection of a second abnormality that results in the maintenance result indicating that no abnormality has occurred (i.e., a false detection). In other words, the monitoring device 100 can suppress excessive maintenance suggestions.

[0081] FIG. 11(A) is a diagram showing the second threshold value Th2 before another change control is executed, and FIG. 11(B) is a diagram showing the second threshold value Th2 after the change control is executed. There is a case where an operator B inspects a location determined to have a second abnormality and finds that an abnormality has occurred at the location. In general, the result of maintenance (inspection) for a location where a second abnormality has been identified is that an abnormality (second abnormality) has occurred, and even if the abnormality is repaired by maintenance (repair), there is a high possibility that an abnormality will occur again at the location. Therefore, when the result of maintenance (inspection) is that an abnormality exists in the wind power generation device 20 (when an image 412 with abnormality is specified), the monitoring device 100 decreases the second threshold value Th2 as shown in FIG. 11 (changes the second threshold value Th2 so that it belongs to the undetected range). Therefore, the monitoring device 100 can quickly identify a reoccurrence of an abnormality (an abnormality with a high possibility of occurring) at the location where a second abnormality has been identified.

[0082] The processing unit 114 may change the second threshold value Th2 based on other information. For example, a worker B performs maintenance on another wind turbine generator 20A, and inputs maintenance result information from the input screen 401 in Fig. 9. For example, when the maintenance result information of the other wind turbine generator 20A shows no abnormality (an image 411 showing no abnormality is specified), the second threshold value Th2 of the wind turbine generator 20 corresponding to this location is increased (see Fig. 10).

[0083] On the other hand, when the maintenance result information of the other wind power generation device 20A indicates that there is an abnormality (the image 412 indicating that there is an abnormality is specified), it is highly likely that an abnormality will occur in the wind power generation device 20 at the location determined to have the abnormality, and it is preferable for the monitoring device 100 to be on guard against the occurrence of an abnormality in the wind power generation device 20 at that location. Therefore, the processing unit 114 decreases the second threshold value Th2 of the wind power generation device 20 corresponding to this location (see FIG. 11). Therefore, the monitoring device 100 can detect an abnormality in the wind power generation device 20 that is highly likely to occur at an early stage. The processing unit 114 transmits the changed second threshold value Th2 to the control device 40 corresponding to the threshold value Th2. The control device 40 updates the second threshold value Th2 to the changed second threshold value Th2.

[0084] [flowchart] 12 is a flowchart showing main processing of the monitoring device 100. In step S2, the monitoring device 100 determines whether or not it has acquired abnormality information from the control device 40. The monitoring device 100 repeats the processing of step S2 until it acquires abnormality information (NO in step S2).

[0085] When the monitoring device 100 acquires anomaly information (YES in step S2), in step S4, the monitoring device 100 identifies the anomaly type (anomaly type ID) included in the anomaly information. Then, in step S6, the monitoring device 100 refers to the anomaly level information to identify whether the anomaly that has occurred is a first anomaly or a second anomaly. If in step S6, the anomaly that has occurred is a second anomaly (YES in step S6), the process proceeds to step S8. On the other hand, if in step S6, the anomaly that has occurred is a first anomaly (NO in step S6), the process proceeds to step S18.

[0086] In step S8, the monitoring device 100 determines a schedule for emergency maintenance using the above-mentioned predetermined information, etc. Next, in step S10, the monitoring device 100 generates a second report 302 (see FIG. 8 ). Then, in step S12, the monitoring device 100 transmits the second report 302 to the user terminal 50, etc.

[0087] Furthermore, in step S14, the monitoring device 100 determines whether or not permission for emergency maintenance has been received from the user terminal 50. If permission for emergency maintenance has been received from the user terminal 50 in step S14 (YES in step S14), the monitoring device 100 transmits maintenance information to the maintenance terminal 70 in step S16. On the other hand, if permission for emergency maintenance has not been received from the user terminal 50 (NO in step S14), the processing in FIG. 12 ends.

[0088] In step S18, the monitoring device 100 generates the first report 301 (see FIG. 7). Then, in step S20, the monitoring device 100 transmits the first report 301 to the user terminal 50 or the like. After that, the processing in FIG. 12 ends.

[0089] 13 is a flowchart showing main processing of the worker terminal 60 and the monitoring device 100. In step S102, the worker terminal 60 judges whether or not maintenance result information has been input by worker B on the input screen 401 (see FIG. 9(A)) of the worker terminal 60. The worker terminal 60 repeats the processing of step S102 until maintenance result information is input (NO in step S102).

[0090] When the maintenance result information is input to the worker terminal 60, in step S104, the worker terminal 60 transmits the maintenance result information to the monitoring device 100. In step S106, the monitoring device 100 determines whether or not the maintenance result information has been received. The monitoring device 100 repeats the process of step S106 until the maintenance result information is received (NO in step S106). Then, in step S108, when the monitoring device 100 receives the maintenance result information, in step S108, the monitoring device 100 executes change control to change the second threshold value Th2 (see FIGS. 10 and 11).

[0091] [Summary] (1) As shown in FIG. 2 and other figures, the monitoring device 100 identifies a first abnormality corresponding to the physical quantity (vibration value) of the wind power generation device 20 when the physical quantity (vibration value) satisfies a first condition (belongs to a first abnormality range). The monitoring device 100 also identifies a second abnormality corresponding to the physical quantity of the wind power generation device 20 when the physical quantity (vibration value) satisfies a second condition (belongs to a second abnormality range). The second abnormality has a higher degree of abnormality than the first abnormality. In this embodiment, the monitoring device 100 executes identification of the first abnormality and the second abnormality based on abnormality information from the control device 40. Furthermore, the monitoring device 100 identifies the type of the second abnormality (step S4 in FIG. 12) and determines a maintenance schedule based on the type of the second abnormality and the like (step S8 in FIG. 12). Therefore, when a second abnormality with a higher degree of abnormality than the first abnormality is detected, the monitoring device 100 determines a maintenance schedule for the second abnormality. Therefore, the monitoring device 100 can promptly determine a maintenance schedule for the second abnormality. Furthermore, the monitoring device 100 can quickly determine a schedule for maintenance for the second abnormality without requiring the user A or the manager C who has been notified of the second abnormality to determine whether or not maintenance for the second abnormality is necessary. Therefore, the monitoring device 100 can reduce the burden on the user A or the manager C who has been notified of the second abnormality.

[0092] (2) The monitoring device 100 executes change control (see FIGS. 10 and 11) for changing the second threshold value Th2 (second condition) based on the maintenance result information input from the input screen 401 in Fig. 9. Therefore, the monitoring device 100 can reflect the maintenance result in the second threshold value Th2, thereby improving the accuracy of determining the second abnormality.

[0093] (3) As shown in Fig. 9, the monitoring device 100 maintains the display of the input screen until maintenance result information is input on the input screen 401. Therefore, the monitoring device 100 can encourage the input of maintenance result information.

[0094] (4) When the monitoring device 100 identifies the first abnormality, as shown in Fig. 7, the monitoring device 100 generates a first report 301 including recommendation information 351 indicating that maintenance corresponding to the first abnormality is recommended, and transmits the first report 301 to the user terminal 50. Thus, the monitoring device 100 can make the user A aware that maintenance corresponding to the first abnormality is recommended.

[0095] Furthermore, when the monitoring device 100 identifies a second abnormality, it generates a second report 302 and transmits it to the user terminal 50, as shown in Fig. 8. The second report 302 includes maintenance content information 362 indicating that maintenance will be performed in response to the second abnormality, and maintenance schedule information 364. Thus, the monitoring device 100 can make user A aware that maintenance will be performed in response to the second abnormality, and the maintenance schedule for this maintenance.

[0096] (5) Furthermore, the monitoring device 100 determines a maintenance schedule using the type of the second abnormality and all of the above information (a) to (f). Therefore, the monitoring device 100 can appropriately determine a maintenance schedule.

[0097] (6) Furthermore, the monitoring device 100 acquires information on an abnormality in the other wind turbine generator 20A and changes the second threshold value Th2 based on the information. Therefore, the monitoring device 100 can improve the accuracy of determining the second abnormality by using the abnormality in the other wind turbine generator 20A.

[0098] (7) Furthermore, the monitoring device 100 outputs, to the maintenance terminal 70, maintenance information indicating that the maintenance will be performed (step S16 in FIG. 12). Therefore, the monitoring device 100 can automatically request the maintenance to the worker B who will perform the maintenance. Therefore, the monitoring device 100 can reduce the burden on user A of requesting maintenance, and can realize early emergency maintenance for the second abnormality.

[0099] (8) There is little need for the monitoring device 100 to immediately determine a schedule for maintenance for the first abnormality (maintenance with low urgency). Therefore, when the first abnormality is identified (NO in step S6), the monitoring device 100 does not determine a maintenance schedule in step S8. Therefore, the monitoring device 100 can reduce the processing load of determining a maintenance schedule.

[0100] <Second embodiment> In the following description, it is assumed that the M wind power generation devices include a "first power generation unit 45 (first wind power generation unit)" and an "other power generation unit 45 (second wind power generation unit)." The "first power generation unit 45" and the "other power generation unit 45" are related to each other.

[0101] In this embodiment, it is assumed that an abnormality is detected in one power generating unit 45. Here, the "first power generating unit 45" is related to the "other power generating units 45." Therefore, the same abnormality as that which occurred in the first power generating unit 45 tends to occur in the other power generating units 45. Even if the abnormality in the first power generating unit 45 in which an abnormality was detected is resolved, the same abnormality tends to occur again in the first power generating unit 45.

[0102] In view of this tendency, the monitoring device 100 of this embodiment executes change control to change the monitoring parameters 530 based on abnormality information related to an abnormality in one of the power generating units 45. The monitoring parameters 530 are parameters used for monitoring the power generating units 45. The change control is control for improving the accuracy of detecting an abnormality or a sign of an abnormality in M ​​wind power generating devices including the "one power generating unit 45" and the "other power generating units 45." The abnormality information is information indicating an abnormal location or a sign of an abnormality in the power generating unit 45. The abnormality information may also be information used by the monitoring device 100 to identify an abnormal location or a sign of an abnormality in the power generating unit 45 (for example, the vibration value or supply voltage value described above).

[0103] The first power generating unit 45 and the other power generating units 45 have the following configuration. At least one first sensor (vibration sensor Sn) is disposed in the first power generating unit 45, each of which detects a physical quantity related to the operation of the first power generating unit 45. At least one second sensor (vibration sensor Sn) is disposed in the other power generating units 45, each of which detects a physical quantity related to the operation of the other power generating units 45. The type of physical quantity detected by the at least one first sensor is the same as the type of physical quantity detected by the at least one second sensor. The location of the at least one first sensor in the first power generating unit 45 is the same as the location of the at least one second sensor in the other power generating units 45. The monitoring device 100 detects an abnormality or a sign of an abnormality in the other power generating units based on the physical quantity detected by the at least one second sensor and the monitoring parameters 530 changed by the change control.

[0104] In the second embodiment, an example will be described in which AI is used to execute change control of the monitoring parameters 530. The monitoring parameters 530 include, for example, thresholds related to the operation of the power generation unit 45. The thresholds include, for example, thresholds Th1, Th2, and the like.

[0105] FIG. 14 is a functional block diagram of the monitoring device 100 according to the present embodiment. As shown in FIG. 14, the monitoring device 100 has an estimation unit 1102 in addition to an acquisition unit 522 and a change unit 526. In addition to the monitoring parameters 530, the storage unit 528 stores the trained model 123. The trained model 123 includes a neural network 1211 and parameters 1212. The parameters 1212 are composed of weighting coefficients and judgment values. The trained model 123 is trained by supervised learning or unsupervised learning. In supervised learning, for example, a combination of anomaly information and monitoring parameters, or a combination of maintenance information and monitoring parameters described later is used as training data.

[0106] The acquiring unit 522 acquires the abnormality information and the maintenance result information from a predetermined terminal. The abnormality information is acquired from the control device 40, for example. The maintenance result information is acquired from the worker terminal 60.

[0107] The estimation unit 1102 estimates the monitoring parameters 530 based on the input data input from the acquisition unit 522 and the trained model 123 including the neural network 1211. The change control is a control for changing the monitoring parameters 530 stored in the storage unit 528 to the estimated monitoring parameters 530.

[0108] The estimation unit 1102 estimates the monitoring parameters 530 so as to improve the accuracy of detecting an abnormality or a sign of an abnormality in the "other power generating units 45" and the "first power generating unit 45 from which an abnormality has been resolved" as shown below. A specific description will be given below. The monitoring device 100 starts monitoring the first power generating unit 45 when the amount of power generated by the first power generating unit 45 in a first predetermined period (for example, one week) is greater than a first threshold. The monitoring device 100 also starts monitoring the other power generating units 45 when the amount of power generated by the other power generating units 45 in the first predetermined period is greater than a second threshold. The monitoring parameters 530 also include a second threshold. The estimation unit 1102 estimates the second threshold (monitoring parameters 530) so that the second threshold is smaller than the first threshold. With this configuration, the timing of starting monitoring the other power generating units 45 can be advanced, and therefore an abnormality in the other power generating units 45 can be found early. Therefore, the accuracy of detecting an abnormality in the other power generating units 45 can be improved.

[0109] Furthermore, the monitoring device 100 monitors one power generating unit 45 for each first period. The monitoring device 100 monitors the other power generating units 45 for each second period. The monitoring parameters 530 include the second period. The estimation unit 1102 estimates the second period (monitoring parameters 530) so that the second period is shorter than the first period. With this configuration, the frequency of monitoring the other power generating units 45 is increased, and therefore abnormalities in the other power generating units 45 can be detected early.

[0110] The monitoring device 100 monitors the first power generating unit 45 using the intensity of each first frequency band in the first frequency spectrum of the first power generating unit 45, which is generated based on a physical quantity (for example, a vibration value) detected by at least one first sensor. The monitoring device 100 monitors the other power generating units 45 using the intensity of each second frequency band in the second frequency spectrum of the other power generating units 45, which is generated based on a physical quantity detected by at least one second sensor. The abnormality information includes an abnormal frequency band in the first frequency spectrum that is a cause of an abnormal location or an abnormality precursor location. The monitoring parameters 530 include a second frequency band. The estimation unit 1102 estimates the second frequency band (monitoring parameters 530) so that the second frequency band in the band including the abnormal frequency band is narrower than the first frequency band. With this configuration, it is possible to improve the resolution of the intensity in the frequency spectrum used for monitoring the other power generating units 45, and therefore it is possible to find an abnormality in the other power generating units early. Therefore, any abnormality in the other power generating units 45 can be detected early.

[0111] The monitoring device 100 also monitors one power generating unit 45 based on a physical quantity detected by at least one first sensor and a third threshold (at least one of thresholds Th1 and Th2). The monitoring device 100 also monitors the other power generating units 45 based on a physical quantity detected by at least one second sensor and a fourth threshold (at least one of thresholds Th1 and Th2). Either a range greater than the third threshold or a range smaller than the third threshold is an undetected range in which no abnormality is detected in one power generating unit 45. The monitoring parameters 530 include a fourth threshold. The estimation unit 1102 then estimates the fourth threshold (monitoring parameters 530) so that the fourth threshold corresponding to the abnormal location or abnormality precursor location belongs to the undetected range.

[0112] According to this configuration, the threshold value (fourth threshold value) used for monitoring the other power generating units 45 is changed to the undetectable range of the third threshold value, so that an abnormality in the other power generating units 45 can be found early.

[0113] In the above example, the estimation unit 1102 is mainly controlled to estimate the monitoring parameters 530 used for monitoring the other power generating units 45. However, the estimation unit 1102 may be configured to estimate the monitoring parameters 530 used for monitoring one power generating unit 45. With such a configuration, it is possible to improve the accuracy of detecting an abnormality or a sign of an abnormality that may occur again in one power generating unit 45.

[0114] Next, the maintenance result information will be described. The maintenance result information is information input by an operator C to the operator terminal 60. The operator C is the person who performed maintenance on the wind power generation equipment (here, one power generation unit 45) in which an abnormality occurred. The maintenance includes inspection of the wind power generation equipment and repair of the wind power generation equipment. The operator terminal 60 is a terminal (for example, a mobile terminal) held by the operator C.

[0115] Next, an example will be described in which the estimation unit 1102 uses the maintenance result information transmitted from the operator terminal 60. When the maintenance result information indicates that no abnormality has occurred in one power generating unit 45 (when an image without abnormality 411 is specified) or when the maintenance content is small-scale maintenance, the estimation unit 1102 estimates the monitoring parameter 530 that reduces the detection accuracy of the abnormality. Then, the change unit 526 changes the monitoring parameter 530 to the estimated monitoring parameter 530 (the monitoring parameter 530 with the reduced accuracy of the detection of the abnormality). The process of changing the monitoring parameter 530 to the estimated monitoring parameter 530 (the process of estimating the monitoring parameter 530 so as to reduce the detection accuracy of the abnormality) includes, for example, the process of increasing the second threshold, the process of lengthening the second period, the process of making the fourth threshold belong to the abnormality range, and the process of widening the second frequency band. By such control, the amount of calculation for detecting the abnormality can be reduced.

[0116] Generally, even if the result of maintenance (inspection) of a portion of one power generating unit 45 where an abnormality is identified is that an abnormality has occurred and the abnormality has been repaired by maintenance (repair), there is a high possibility that an abnormality will occur in the same portion of another power generating unit 45. Therefore, when the maintenance result information indicates that an abnormality has occurred in one power generating unit 45 (when the image 412 with abnormality is specified) or when the maintenance content is large-scale maintenance, the estimation unit 1102 estimates a monitoring parameter 530 that improves the accuracy of abnormality detection. Then, the change unit 526 changes the monitoring parameter 530 to the estimated monitoring parameter 530 (the monitoring parameter 530 with improved accuracy of abnormality detection). The process of changing the monitoring parameter 530 to the estimated monitoring parameter 530 includes, for example, a process of decreasing the second threshold, a process of shortening the second period, a process of making the fourth threshold belong to the normal range, and a process of narrowing the second frequency band. By such control, early abnormality detection of the other power generating units 45 can be realized.

[0117] [Variations] (1) In the above embodiment, the power generation device is a wind power generation device. However, the power generation device may be another type of power generation device. The other power generation device may be, for example, a hydroelectric power generation device, a solar power generation device, or the like.

[0118] (2) The control for changing the second threshold value Th2 may be other control than the control for directly changing the second threshold value Th2. For example, the control for changing the second threshold value Th2 may include the control for recommending the administrator C to change the second threshold value Th2.

[0119] Also, a configuration may be adopted in which the monitoring device 100 changes the second threshold value Th2 using the maintenance result information and AI. Specifically, the monitoring device 100 outputs the changed second threshold value Th2 by applying the maintenance result information to the trained model. When such a configuration is adopted, the change control may be control to update (the parameters of) the trained model. For example, if the maintenance result information is information indicating a result that there is no abnormality, the monitoring device 100 executes, as the change control, control to update the trained model so that the second threshold value Th2 is increased and output. Also, if the maintenance result information is information indicating a result that there is an abnormality, the monitoring device 100 executes, as the change control, control to update the trained model so that the second threshold value Th2 is decreased and output.

[0120] (3) In the above embodiment, as described in Fig. 2, the first condition is that the physical quantity falls within a first abnormal range, and the second condition is that the physical quantity falls within a second abnormal range. However, at least one of the first condition and the second condition may be another condition. For example, the first condition may be that the detected physical quantity contains noise of a first peak value, and the second condition may be that the detected physical quantity contains noise of a second peak value larger than the first peak value.

[0121] (4) In the above embodiment, the sensor used to detect the presence or absence of an abnormality in the wind turbine generator 20 is a vibration sensor. However, the sensor may be another sensor. The other sensor may be, for example, a temperature sensor or a sound sensor.

[0122] [Note] (Additional Note 1) An information processing device relating to a power generation unit, the power generation unit including a sensor that detects a physical quantity related to the operation of the power generation unit, the information processing device comprising an interface and a arithmetic device, the arithmetic device identifying a first abnormality of the power generation unit when the physical quantity satisfies a first condition, identifying a second abnormality of the power generation unit that is more abnormal than the first abnormality when the physical quantity satisfies a second condition, identifying a type of the second abnormality, and determining a maintenance schedule for the second abnormality based on the type of the second abnormality, and the interface outputting the maintenance schedule.

[0123] According to this configuration, when a second abnormality that is more severe than the first abnormality is identified, the information processing device determines a maintenance schedule for the second abnormality. Therefore, the information processing device can quickly determine a maintenance schedule for the second abnormality.

[0124] (Supplementary Note 2) The information processing device according to Supplementary Note 1, wherein the interface acquires a result of the maintenance from a specified terminal, and the calculation device executes change control for changing the second condition based on the result of the maintenance.

[0125] According to this configuration, the second condition can reflect the result of maintenance, thereby improving the accuracy of determining the second abnormality.

[0126] (Supplementary Note 3) The information processing device described in Supplementary Note 2, wherein a threshold is defined for the physical quantity, and either a range greater than the threshold or a range smaller than the threshold is a detection range in which the second abnormality is detected, and the other is an undetected range in which the second abnormality is not detected, and when the physical quantity falls within the detection range, the physical quantity satisfies the second condition, and when the result of the maintenance is that no abnormality has occurred in the power generation unit, the calculation device executes control to change the threshold so that the threshold falls within the detection range as the change control.

[0127] Generally, the result of maintenance on the location where the second abnormality was identified may be that no abnormality has occurred. In this case, even if a second abnormality is identified again on the location, the result of maintenance on the second abnormality is likely to be that no abnormality has occurred. Therefore, with this configuration, when the result of maintenance is that no abnormality has occurred in the power generation unit, control is performed to change the threshold value so that the threshold value falls within the detection range. Therefore, the information processing device can suppress detection of a second abnormality that results in no abnormality occurring as a result of maintenance.

[0128] (Supplementary Note 4) The information processing device described in Supplementary Note 2, wherein a threshold is defined for the physical quantity, and one of a range greater than the threshold and a range smaller than the threshold is a detection range in which the second abnormality is detected, and the other is an undetected range in which the second abnormality is not detected, and when the physical quantity falls within the detection range, the physical quantity satisfies the second condition, and when the result of the maintenance indicates that an abnormality has occurred in the power generation unit, the calculation device executes at least one of the following as the change control: control to change the threshold so that the threshold falls within the undetected range.

[0129] Generally, if the result of maintenance on a location where a second abnormality has been identified is that an abnormality (second abnormality) has occurred, and even if the abnormality is repaired, there is a high possibility that a reoccurrence of an abnormality will occur in that location. Therefore, with this configuration, when the result of maintenance is that an abnormality has occurred in the power generation unit, control is performed to change the threshold value so that the threshold value falls within the undetected range. Therefore, the information processing device can quickly identify a reoccurrence of an abnormality in the location where a second abnormality has been identified.

[0130] (Supplementary Note 5) The information processing device according to any one of Supplementary Notes 2 to 4, wherein the calculation device displays an input screen on the specified terminal for accepting input of the results of the maintenance, and maintains the display of the input screen until the results of the maintenance are input on the input screen.

[0131] With this configuration, it is possible to encourage the user to input the results of maintenance. (Appendix 6) The information processing device according to any one of Appendices 1 to 5, wherein the calculation device generates a first report when the first abnormality is identified and transmits the first report to a user terminal of a user of the power generation unit, and generates a second report when the second abnormality is identified and transmits the second report to the user terminal, the first report including information indicating that the maintenance corresponding to the first abnormality is recommended, and the second report including information on performing the maintenance corresponding to the second abnormality and the maintenance schedule.

[0132] According to this configuration, the information processing device can make the user of the power generating unit aware of the recommendation of maintenance in response to the first abnormality through the first report. Also, the information processing device can make the user aware of the execution of maintenance in response to the second abnormality and the schedule of the second maintenance through the second report.

[0133] (Appendix 7) The information processing device according to any one of Appendices 1 to 6, wherein the calculation device determines the maintenance schedule based on the type of the second abnormality and specified information, and the specified information includes at least one of the period required for the maintenance, the number of workers required for the maintenance, the schedules of the workers required for the maintenance, and past operating history of the power generation unit.

[0134] According to this configuration, the maintenance schedule can be appropriately determined based on this information.

[0135] (Appendix 8) An information processing device according to any one of Appendices 1 to 7, wherein the interface acquires information regarding abnormalities in other power generation units related to the power generation unit, and the calculation device changes the second condition based on the information regarding the abnormalities in the other power generation units.

[0136] According to this configuration, it is possible to improve the accuracy of determining whether or not the second anomaly has occurred by using an anomaly in another power generation unit related to the power generation unit.

[0137] (Supplementary Note 9) The information processing device according to any one of Supplementary Notes 1 to 8, wherein the arithmetic device outputs maintenance information, indicating that the maintenance is to be performed, to a terminal of a worker who performs the maintenance.

[0138] According to this configuration, a maintenance request can be automatically made to a worker who will carry out the maintenance.

[0139] (Supplementary Note 10) The information processing device according to any one of Supplementary Notes 1 to 9, wherein the calculation device determines a maintenance schedule for the second abnormality based on the type of the second abnormality, but does not determine the maintenance schedule when the first abnormality is identified.

[0140] According to this configuration, since a maintenance schedule for the first abnormality is not determined, it is possible to avoid determining a maintenance schedule that is less necessary.

[0141] (Supplementary Note 11) The information processing device according to Supplementary Note 1 to Supplementary Note 10, wherein the information processing device includes a memory for storing a trained model generated by machine learning, the interface acquires maintenance results of the power generation unit or abnormality information of the power generation unit from a specified terminal, and the calculation device executes change control for changing monitoring parameters used to monitor the power generation unit by applying the abnormality information or the maintenance results to the trained model.

[0142] With this configuration, there is no need for an administrator or the like to change the monitoring parameters; the monitoring parameters are changed using a machine-learned model, allowing change control to be performed appropriately.

[0143] (Supplementary Note 11) An information processing method comprising: identifying a first abnormality of a power generation unit when a physical quantity related to operation of the power generation unit satisfies a first condition; identifying a second abnormality of the power generation unit, the second abnormality being more abnormal than the first abnormality, when the physical quantity satisfies a second condition; identifying a type of the second abnormality; determining a maintenance schedule for the power generation unit based on the type of the second abnormality; and outputting the maintenance schedule.

[0144] The embodiments disclosed herein should be considered to be illustrative and not restrictive in all respects. The scope of the present invention is defined by the claims, not by the description of the embodiments described above, and is intended to include all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0145] 10 Management system, 20, 20A Wind power generation device, 30 Collection device, 40, 40A Control device, 45, 45A Power generation unit, 50 User terminal, 60 Worker terminal, 70 Maintenance terminal, 80 Weather server, 100 Monitoring device, 102 Calculation device, 104 Memory, 106 Communication interface, 112 Receiving unit, 114 Processing unit, 116 Transmitting unit, 118 Storage unit, 121, Th1, Th2 Threshold value, 131 Past operation record, 301 First report, 302 Second report, 351 Recommended information, 361 Anomaly type information, 362 Maintenance content information, 363 Arrangement information, 364 Maintenance schedule information, 365 Estimated amount information, 401 Input screen, 402 Sent screen, 411 Image without abnormality, 412 Image with abnormality, 414 Input area.

Claims

1. An information processing device for a power generation unit, the power generating unit includes a sensor for detecting a physical quantity related to the operation of the power generating unit; The information processing device includes: An interface; A computing device, The computing device includes: identifying a first abnormality in the power generation unit when the physical quantity satisfies a first condition; identifying a second abnormality of the power generation unit, the second abnormality being higher in degree than the first abnormality, when the physical quantity satisfies a second condition; Identifying a type of the second abnormality; determining a maintenance schedule for the second abnormality based on a type of the second abnormality; The interface outputs the maintenance schedule.

2. The interface acquires a result of the maintenance from a predetermined terminal, The information processing apparatus according to claim 1 , wherein the arithmetic unit executes change control for changing the second condition based on a result of the maintenance.

3. A threshold value is defined for the physical quantity, one of the range larger than the threshold value and the range smaller than the threshold value is a detection range in which the second abnormality is detected, and the other is an undetection range in which the second abnormality is not detected, When the physical quantity falls within the detection range, the physical quantity satisfies the second condition, The information processing device according to claim 2 , wherein the calculation device executes the change control to change the threshold so that the threshold falls within the detection range when the result of the maintenance indicates that no abnormality has occurred in the power generation unit.

4. A threshold value is defined for the physical quantity, one of the range larger than the threshold value and the range smaller than the threshold value is a detection range in which the second abnormality is detected, and the other is an undetection range in which the second abnormality is not detected, When the physical quantity falls within the detection range, the physical quantity satisfies the second condition, The information processing device of claim 2, wherein the calculation device executes at least one of the following as the change control: control to change the threshold so that the threshold falls within the undetectable range when the result of the maintenance indicates that an abnormality has occurred in the power generation unit; and control to change the threshold so that the threshold falls within the undetectable range when the result of the maintenance indicates that an abnormality has occurred in the power generation unit.

5. The computing device includes: displaying an input screen for receiving input of the result of the maintenance on the predetermined terminal; 5. The information processing apparatus according to claim 2, wherein the display of the input screen is maintained until the result of the maintenance is input on the input screen.

6. The computing device includes: generating a first report when the first anomaly is identified and transmitting the first report to a user terminal of a user of the power generating unit; generating a second report when the second anomaly is identified and transmitting the second report to the user terminal; the first report includes information indicating that the maintenance corresponding to the first abnormality is recommended; and The second report includes: performing the maintenance corresponding to the second abnormality; and 5. The information processing apparatus according to claim 1, further comprising a maintenance schedule.

7. The computing device determines the maintenance schedule based on the type of the second abnormality and predetermined information, The predetermined information is A period of time required for said maintenance; and The number of workers required for the maintenance; and A schedule of workers required for said maintenance; and a past operating record of the power generating unit.

8. The interface obtains information regarding an abnormality of another power generating unit associated with the power generating unit; 5. The information processing device according to claim 1, wherein the arithmetic device changes the second condition based on information relating to an abnormality in the other power generating unit.

9. 5. The information processing apparatus according to claim 1, wherein the arithmetic device outputs maintenance information, which indicates that the maintenance is to be performed, to a terminal of a worker who performs the maintenance.

10. The information processing device according to any one of claims 1 to 4, wherein the calculation device determines a maintenance schedule for the second abnormality based on the type of the second abnormality, but does not determine the maintenance schedule when the first abnormality is identified.

11. The information processing device includes a memory that stores a machine-learned model, The interface acquires the maintenance result of the power generation unit or the abnormality information of the power generation unit from a predetermined terminal, The information processing device according to claim 1 , wherein the arithmetic device executes change control for changing monitoring parameters used for monitoring the power generation unit by applying the abnormality information or the maintenance result to the trained model.

12. identifying a first abnormality in the power generation apparatus when a physical quantity related to an operation of the power generation apparatus satisfies a first condition; identifying a second abnormality of the power generation device, the second abnormality having a higher degree of abnormality than the first abnormality, when the physical quantity satisfies a second condition; Identifying a type of the second abnormality; and determining a maintenance schedule for the power generation device based on the type of the second abnormality; An information processing method comprising: outputting the maintenance schedule.

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