Information processing device and information processing method
Patent Information
- Application Number
- JP2023135567
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-08-23
- Publication Date
- 2025-03-07
AI Technical Summary
【0008】 本開示によれば、発電装置のメンテナンス前に検出された物理量と、発電装置のメンテナンス後に検出された物理量とに基づく物理量情報を管理者などに把握させることができる。
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Figure 2025030350000001_ABST
Abstract
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 state monitoring system for a wind turbine generator. This state monitoring system includes a sensor that detects a physical quantity (e.g., a vibration value) at a target position of the wind turbine generator. The state monitoring system diagnoses the presence or absence of an abnormality based on the physical quantity detected by the sensor. The state monitoring system then displays the diagnosis result on a display unit of a monitoring terminal. [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, when an abnormality is detected in a power generation device such as a wind power generation device, for example, an operator performs maintenance on the part where the abnormality was detected. However, in the above-mentioned condition monitoring system, for example, a manager of the power generation device cannot recognize the physical quantity detected before the maintenance and the physical quantity detected after the maintenance.
[0005] The present disclosure has been made to solve the above-mentioned problems, and its purpose is to allow managers and others to recognize physical quantity information based on physical quantities detected before maintenance of the power generation equipment and physical quantities detected after maintenance of the power generation equipment. [Means for solving the problem]
[0006] The information processing device of the present disclosure relates 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 physical quantity is used to identify the presence or absence of an abnormality in the power generation device. The information processing device includes a memory that stores the physical quantity and a calculation device. The physical quantity includes a pre-maintenance physical quantity that is detected by the sensor before first maintenance for the abnormality in the power generation device and is used to detect the abnormality, and a post-maintenance physical quantity that is detected after the first maintenance by the sensor that detected the pre-maintenance physical quantity. The calculation device generates physical quantity information based on the pre-maintenance physical quantity and the post-maintenance physical quantity, and outputs the physical quantity information.
[0007] An information processing method disclosed herein includes acquiring a pre-first-maintenance physical quantity detected before first maintenance of a power generation device including the power generation device and a post-first-maintenance physical quantity detected after the first maintenance of the power generation device. The information processing method includes generating physical quantity information based on the pre-first-maintenance physical quantity and the post-first-maintenance physical quantity. The information processing method includes outputting the physical quantity information. Effect of the Invention
[0008] According to the present disclosure, it is possible to allow a manager or the like to grasp physical quantity information based on physical quantities detected before maintenance of a power generation device and physical quantities detected after maintenance of the power generation device. [Brief description of the drawings]
[0009] [Figure 1] 1 is a diagram illustrating an example of a configuration of a management system 10 according to the present disclosure. [Diagram 2] FIG. 13 is a diagram for explaining acquisition of a physical quantity, etc. [Diagram 3] FIG. 2 is a functional block diagram of the monitoring device. [Figure 4] FIG. 11 is a diagram for explaining an example of a first report. [Diagram 5] FIG. 11 is a diagram for explaining an example of a first report. [Figure 6]FIG. 11 is a diagram for explaining an example of a second report. [Figure 7] FIG. 11 is a diagram for explaining an example of a second report. [Figure 8] FIG. 2 is a diagram for explaining an example of a first DB. [Figure 9] FIG. 11 is a diagram for explaining an example of a second DB. [Figure 10] 4 is a flowchart showing a main process of the monitoring device. [Figure 11] 10 is a flowchart showing details of a first determination process. [Figure 12] 13 is a flowchart showing details of a second determination process. [Figure 13] FIG. 11 is a functional block diagram of a monitoring device according to another embodiment. [Figure 14] 13 is an example of a screen displayed on a worker terminal. 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 1 is a diagram showing an example of the configuration of a management system 10 according to a first embodiment. The management system 10 according to the present disclosure includes M (M is an integer equal to or greater than 1) wind power generation units 45, a monitoring device 100, a user terminal 50, a worker terminal 60, a maintenance terminal 70, and a network NW. A control device 40, which will be described later, the monitoring device 100, the user terminal 50, the worker terminal 60, and the maintenance terminal 70 can communicate with each other via the network NW.
[0012] The wind power generation unit 45 includes a wind power generation device 20, a collection device 30, a control device 40, and a sensor S. The sensor S includes 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) and N voltage sensors SVn. The wind power generation unit 45 corresponds to the "power generation device" of this disclosure.
[0013] The wind power generation device 20 is a device that receives wind power and generates electricity. 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 location (for example, a bearing unit) of the wind power generation device 20. The vibration value corresponds to the "physical quantity" of the present disclosure. The vibration value is represented by, for example, any one of the displacement, speed, and acceleration of the predetermined location. The vibration values detected by the N vibration sensors Sn are output to the collection device 30.
[0014] A voltage is supplied to the vibration sensor Sn from a power source (not shown). The vibration sensor Sn is driven by the supplied voltage. In addition, a voltage sensor SVn corresponding to the vibration sensor is provided for each vibration sensor Sn. Voltage values detected by the N voltage sensors SVn are output to the collection device 30.
[0015] In this way, the collecting device 30 collects the vibration value detected by the vibration sensor Sn and the voltage value detected by the voltage sensor SVn. The "vibration value detected by the vibration sensor Sn and the voltage value detected by the voltage sensor SVn" correspond to the "physical quantity related to the operation of the power generation device" in the present disclosure. The voltage value detected by SVn is also referred to as the "supply voltage value."
[0016] The vibration value and the voltage value 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 abnormal location based on the vibration value from the collecting device 30. For example, the control device 40 generates a frequency spectrum by performing a fast Fourier transform (FFT) on the vibration value (time series data) accumulated over a predetermined period (for example, one month). Then, the control device 40 detects the presence or absence of an abnormality in the wind power generation device 20 and the abnormal location based on the frequency spectrum. In this way, the physical quantity is used to identify the presence or absence of an abnormality in the wind power generation unit 45. As described above, the control device 40 executes an abnormality detection process to detect the presence or absence of an abnormality in the wind power generation unit 45 including the control device 40. However, as a modified example, the monitoring device 100 may execute the abnormality detection process.
[0017] In this embodiment, "abnormality" refers to, for example, damage to the wind power generation device 20. In this embodiment, "abnormal location" includes not only a location where an abnormality has occurred, but also 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 expected to occur in the future.
[0018] Furthermore, the control device 40 detects, based on a voltage value from the collecting device 30, whether or not there is an abnormality in the vibration sensor Sn to which the voltage value is supplied. The voltage value supplied to the vibration sensor Sn is determined in advance, and a range centered on the supply voltage value is specified as the normal range of the supply voltage value. If the voltage value from the collecting device 30 falls within the normal range, the control device 40 determines that the vibration sensor Sn to which the voltage value is supplied is normal. On the other hand, if the voltage value from the collecting device 30 does not fall within the normal range, the control device 40 determines that the vibration sensor Sn to which the voltage value is supplied is abnormal.
[0019] Further, the wind power generation plant 20 is assigned a wind power generation plant ID (identification) for identifying the wind power generation plant 20. The vibration sensor Sn is assigned a vibration sensor ID for identifying the vibration sensor. The voltage sensor SVn is assigned a voltage sensor ID for identifying the voltage sensor.
[0020] The control device 40 transmits the physical quantities (vibration values and voltage values) collected by the collection device 30 to the monitoring device 100. Furthermore, when the control device 40 detects an abnormality in the wind power generation device 20 or an abnormality in the vibration sensor Sn, it transmits abnormality information to the monitoring device 100. The abnormality information includes information such as the location where the abnormality occurred (abnormal location). The abnormality location includes the location where the abnormality occurred in the wind power generation device 20 and the vibration sensor Sn where the abnormality occurred. The location where the abnormality occurred in the wind power generation device 20 is specified by, for example, the wind power generation device ID and the vibration sensor ID. The abnormality in the vibration sensor Sn is specified by the voltage sensor ID of the voltage sensor that detects the voltage supplied to the vibration sensor Sn.
[0021] 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.
[0022] The maintenance terminal 70 is a terminal related to the maintenance of the wind power generation device 20. When an abnormality occurs in the wind power generation device 20, a maintenance worker B (maintenance contractor) performs maintenance to resolve the abnormality. Then, the monitoring device 100 requests the maintenance contractor to perform maintenance of the wind power generation device 20. The maintenance to resolve the abnormality is also called "first maintenance."
[0023] The maintenance terminal 70 is a terminal operated by a maintenance manager D of the maintenance company. For example, the maintenance terminal 70 is a terminal that receives a request for the maintenance. Specifically, the monitoring device 100 transmits maintenance information for requesting the maintenance to the maintenance terminal 70. The display unit of the maintenance terminal 70 displays a request image based on the maintenance information. The request image includes, for example, the address of the wind power generation device 20 to be maintained and the date and time of maintenance. The manager D, who has visually confirmed the request image, arranges for worker B to arrive at the address and date and time displayed in the image. The "worker" typically refers to a person who performs maintenance on an abnormality in the wind power generation device 20.
[0024] The worker terminal 60 is a terminal device held by 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 worker B. Worker B inputs start information and end information to the worker terminal 60. The start information is information indicating that maintenance by worker B will start. The end information is information indicating that maintenance by worker B will end. In other words, when worker B starts maintenance of the wind power generation unit 45, he inputs the start information to the worker terminal 60. Furthermore, when maintenance of the wind power generation unit 45 is ended, worker B inputs the end information to the worker terminal 60.
[0025] The monitoring device 100 corresponds to the "information processing device for the power generation device" of the present disclosure. The monitoring device 100 is a terminal operated by an administrator C. When the monitoring device 100 acquires abnormality information, it analyzes the abnormality information to identify the abnormal location. Then, it transmits the abnormal location to a user terminal 50. The user terminal 50 displays the abnormal location on a display unit, thereby allowing the user A to recognize that an abnormality has occurred in the wind power generation device 20 or the vibration sensor Sn and the abnormal location. In addition, the monitoring device 100 transmits maintenance information including the abnormal location to a maintenance terminal 70. This allows the administrator D to recognize the abnormal location in advance.
[0026] The monitoring device 100 has a calculation device 102, a memory 104, and a communication interface 106. The communication interface is described 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), etc.
[0027] 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."
[0028] The memory 104 includes a volatile storage area (e.g., a working area) that temporarily stores program code, a work memory, and the like when the arithmetic device 102 executes an arbitrary program. For example, the memory 104 includes a random access memory (RAM) and a read only memory (ROM).
[0029] The ROM stores programs executed by the arithmetic device 102. The RAM temporarily stores data generated by the execution of the programs in the arithmetic device 102. The RAM can function as a temporary data memory used as a working area.
[0030] The communication interface 106 is configured to communicate with devices external to the monitoring device 100 (eg, the control device 40).
[0031] [Report] After the maintenance of the wind power generation unit 45 has been performed, the manager C or the user A wants to know whether the abnormal part has been improved by the maintenance of the wind power generation unit 45 or not.
[0032] Therefore, the monitoring device 100 of this embodiment generates a report based on the pre-maintenance physical quantities and the post-maintenance physical quantities. The "report" is information indicating whether or not the abnormal portion has been repaired by the first maintenance. The report corresponds to the "physical quantity information" of the present disclosure. The monitoring device 100 outputs the report. Outputting the report includes, for example, displaying it on the display unit of the monitoring device 100 and printing it on paper. This allows the manager C to recognize the report.
[0033] Furthermore, the monitoring device 100 transmits the report to the user terminal 50. By displaying the report, the user terminal 50 can allow the user A to recognize whether or not the abnormal part has been improved by the maintenance (first maintenance) of the wind power generation unit 45. Furthermore, if it is determined that the abnormal part has not been improved, the monitoring device 100 etc. decides to perform second maintenance. The second maintenance is a further maintenance after the first maintenance.
[0034] The "pre-maintenance physical quantity" is a physical quantity detected by the sensor S before the first maintenance. The pre-maintenance physical quantity is a physical quantity used to detect an abnormality. In other words, the pre-maintenance physical quantity includes a physical quantity that is determined to be abnormal (abnormal value). The first maintenance is intended to improve the abnormality.
[0035] The "post-maintenance physical quantity" is a physical quantity detected after the first maintenance by the sensor that detected the above-mentioned pre-maintenance physical quantity.
[0036] Fig. 2 is a diagram for explaining acquisition of physical quantities, etc. The horizontal axis of Fig. 2 indicates the time axis. Also, in Fig. 2, timings T1 to T6 are written, and the monitoring device 100 recognizes the timings T1 to T6.
[0037] The pre-maintenance physical quantity further includes a first pre-maintenance physical quantity and a second pre-maintenance physical quantity. The first pre-maintenance physical quantity is a physical quantity acquired over a first predetermined period before the first maintenance. In other words, the first pre-maintenance physical quantity is a physical quantity that needs to be acquired over the first predetermined period to detect an abnormality in the wind power generation unit 45. The first predetermined period is, for example, "one month" like the above-mentioned predetermined period. The first pre-maintenance physical quantity is, for example, a vibration value detected by the vibration sensor Sn. In FIG. 2, the period from timing T1 to timing T3 is described as the first predetermined period. The first pre-maintenance physical quantity is a physical quantity acquired over the first predetermined period (timing T1 to timing T3).
[0038] The second pre-maintenance physical quantity is an instantaneous value, and is a physical quantity acquired before the first maintenance. In other words, the second pre-maintenance physical quantity is a physical quantity that can detect an abnormality in the wind power generation unit 45 by instantaneously acquiring it. The second pre-maintenance physical quantity is, for example, a voltage value detected by a voltage sensor SVn. In Fig. 2, timing T2 is described as the time when the second pre-maintenance physical quantity is acquired. At timing T2, the second pre-maintenance physical quantity (voltage value), which is an abnormal value, is detected.
[0039] 2 is the timing when the above start information is input to the worker terminal 60. Timing T4 is the timing when the above end information is input to the worker terminal 60. The monitoring device 100 recognizes the period from timing T3 to timing T4 as the period during which the first maintenance is being performed (the first maintenance period).
[0040] The post-maintenance physical quantity further includes a first post-maintenance physical quantity and a second post-maintenance physical quantity. The first post-maintenance physical quantity is a physical quantity acquired over a second predetermined period after the first maintenance. In other words, the first post-maintenance physical quantity is a physical quantity that needs to be acquired over a second predetermined period to detect an abnormality in the wind power generation unit 45. The second predetermined period is, for example, "one month" like the above-mentioned first predetermined period. Note that the first predetermined period and the second predetermined period may be different. The first post-maintenance physical quantity is, for example, a vibration value detected by the vibration sensor Sn. In FIG. 2, the period from timing T4 to timing T6 is described as the second predetermined period. The second post-maintenance physical quantity is a physical quantity acquired over the second predetermined period (timing T4 to timing T6).
[0041] The second post-maintenance physical quantity is a physical quantity that is an instantaneous value that is acquired after the first maintenance. In other words, the second post-maintenance physical quantity is a physical quantity that can detect an abnormality in the wind power generation unit 45 by instantaneously acquiring it. The second post-maintenance physical quantity is, for example, a voltage value detected by a voltage sensor SVn. In Fig. 2, timing T5 is described as the time when the second post-maintenance physical quantity is acquired. At timing T5, the second post-maintenance physical quantity (voltage value) that is an abnormal value is detected.
[0042] [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.
[0043] The receiving unit 112 acquires the abnormality information and the physical quantity from the control device 40. The receiving unit 112 also acquires the start information and the end information from the operator terminal 60. The abnormality information, the physical quantity, and the like acquired by the receiving unit 112 are output to the processing unit 114.
[0044] When the processing unit 114 receives a generation command from a predetermined terminal, it generates a report, which will be described later. Here, the generation command is a signal for causing the processing unit 114 to generate a report. The predetermined terminal is, for example, the worker terminal 60. The worker B who performed the first maintenance inputs a predetermined operation into the worker terminal 60, which causes the worker terminal 60 to transmit the generation command to the monitoring device 100. Note that, for example, the worker terminal 60 may transmit the above-mentioned end information to the monitoring device 100 as a generation command. The generation command includes the wind power generation device ID of the wind power generation device on which the first maintenance was performed, information indicating the abnormal location on which the first maintenance was performed (sensor ID in this embodiment), the first maintenance end date (the date on which the end information was transmitted), and the like.
[0045] In addition, the processing unit 114 stores the pre-maintenance physical quantities (first pre-maintenance physical quantity 121, second pre-maintenance physical quantity 122) and the post-maintenance physical quantities (first post-maintenance physical quantity 131, second post-maintenance physical quantity 132) detected by all the sensors S for each wind power generation device ID and sensor ID.
[0046] Then, when the processing unit 114 acquires the generation command, it identifies the wind power generation device ID, the sensor ID, and the first maintenance end date included in the generation command. Then, the processing unit 114 extracts from the storage unit 118 the pre-maintenance physical quantity and the post-maintenance physical quantity detected by the sensor (vibration sensor Sn or voltage sensor SVn) indicated by the sensor ID in the wind power generation device 20 indicated by the wind power generation device ID.
[0047] For example, when the sensor ID included in the generation command is the ID of the vibration sensor Sn, the processing unit 114 acquires the physical quantity associated with the vibration sensor Sn from the storage unit 118. That is, the processing unit 114 acquires the first pre-maintenance physical quantity 121 for the first predetermined period and the first post-maintenance physical quantity 131 for the second predetermined period, which are associated with the vibration sensor Sn, from the storage unit 118. The storage and acquisition of the first pre-maintenance physical quantity 121 for the first predetermined period is realized by the monitoring device 100 constantly acquiring the physical quantity from the sensor S and discarding the physical quantity from the first predetermined period before the present time (i.e., one month ago). The storage and acquisition of the first post-maintenance physical quantity 131 for the second predetermined period is realized by the loop processing of steps S6 and S8 in FIG. 10 described later.
[0048] Then, the processing unit 114 generates a first report, which will be described later, based on the first pre-maintenance physical quantity 121 and the first post-maintenance physical quantity 131. Typically, the processing unit 114 compares the first pre-maintenance physical quantity 121 with the first post-maintenance physical quantity 131, and generates the first report based on the comparison result. The first report corresponds to "first physical quantity information" in the present disclosure. The transmission unit 116 transmits the first report generated by the processing unit 114 to the user terminal 50 corresponding to the wind turbine power generation device ID (see FIG. 8, which will be described later).
[0049] Furthermore, when the sensor ID included in the generation command is the ID of the voltage sensor SVn, the processing unit 114 acquires the physical quantity associated with the voltage sensor SVn (i.e., the second pre-maintenance physical quantity 121 and the second post-maintenance physical quantity 132) from the storage unit 118. Then, the processing unit 114 generates a second report, which will be described later, based on the second pre-maintenance physical quantity 122 and the second post-maintenance physical quantity 132. Typically, the processing unit 114 compares the second pre-maintenance physical quantity 121 with the second post-maintenance physical quantity 132, and generates the second report based on the comparison result. The second report corresponds to the "second physical quantity information" of the present disclosure. The transmission unit 116 transmits the second report generated by the processing unit 114 to the user terminal 50.
[0050] If the processing unit 114 determines that the abnormal portion has not been improved by the first maintenance, it transmits maintenance information to the maintenance terminal 70 for requesting further maintenance (second maintenance).
[0051] [Report] Next, the reports (first report and second report) generated by the processing unit 114 will be described. Fig. 4 is an example of the first report 301A. Note that Fig. 4 and Fig. 5 described below will explain a case where an abnormality occurs in a bearing unit of the wind turbine generator 20 and a first maintenance is performed for the abnormality. The first report 301A is an example of a report generated when the bearing unit (abnormal location) that has been subjected to the first maintenance is repaired by the first maintenance.
[0052] In the example of Fig. 4, the first report 301A includes the first transition information 201, the second transition information 202, and the result information 203. In the first transition information 201 and the second transition information 202, the horizontal axis indicates time and the vertical axis indicates vibration value. In Fig. 4 and other figures, the upper vibration threshold ThVH of the vibration value is shown. In this embodiment, when the vibration value is less than the upper vibration threshold ThVH, the control device 40 determines that the part corresponding to the vibration value is a normal part. On the other hand, when the vibration value is equal to or greater than the upper vibration threshold ThVH, the control device 40 determines that the part corresponding to the vibration value is an abnormal part.
[0053] The first transition information 201 is information that indicates a transition of the first pre-maintenance physical quantity over a first predetermined period. Specifically, the first transition information 201 is an image that visualizes the first pre-maintenance physical quantity 121.
[0054] The second transition information 202 is information indicating a transition of the post-first-maintenance physical quantity over a second predetermined period of time. Specifically, the second transition information 202 is an image in which the post-first-maintenance physical quantity 131 is visualized.
[0055] In the example of FIG. 4, the processing unit 114 compares the pre-first-maintenance physical quantity 121 (first transition information 201) with the post-first-maintenance physical quantity 131 (second transition information 202) to determine that the vibration value is equal to or greater than the upper vibration threshold ThVH before the first maintenance, but is less than the upper vibration threshold ThVH after the first maintenance. Therefore, the processing unit 114 determines that the post-first-maintenance physical quantity 131 has improved, and determines that the bearing portion (abnormal portion) subjected to the first maintenance has been repaired as a result (effect) of the first maintenance. The processing unit 114 generates the first report 301A so as to include result information 203 indicating the effect. In the example of FIG. 4, the result information 203 is a wording image that reads, "The bearing portion has been repaired by the maintenance." Note that the post-first-maintenance physical quantity 131 has improved means, for example, that the average value of the post-first-maintenance physical quantity 131 in the first predetermined period has decreased below the average value of the pre-first-maintenance physical quantity 121 in the second predetermined period.
[0056] 5 is an example of the first report 301B. The first report 301B is an example of a report that is generated when the first maintenance is performed on the bearing portion (abnormal portion) but the bearing portion is not repaired.
[0057] In the example of FIG. 5, the first report includes first transition information 201 , second transition information 202 , result information 204 , maintenance type information 205 , arrangement information 206 , and estimated amount information 207 .
[0058] 5, the processing unit 114 compares the pre-first-maintenance physical quantity 121 (first transition information 201) with the post-first-maintenance physical quantity 131 (second transition information 202) and finds that the vibration value was equal to or greater than the upper vibration threshold ThVH before the first maintenance, and that the vibration value is still equal to or greater than the upper vibration threshold ThVH after the first maintenance. Therefore, the processing unit 114 determines that the post-first-maintenance physical quantity 131 has not improved, and thus determines that the bearing portion (abnormal location) that has been subjected to the first maintenance has not been repaired as a result of the first maintenance.
[0059] Furthermore, the processing unit 114 identifies a maintenance type for repairing the continuing abnormal portion. Then, the processing unit 114 generates maintenance type information 205. The maintenance type indicates the above-mentioned type of second maintenance. Furthermore, the processing unit 114 identifies an estimated cost for the maintenance type. Then, the processing unit 114 generates estimated cost information 207. Identification of the maintenance type and the estimated cost will be described later with reference to FIG. 9.
[0060] Furthermore, the processing unit 114 automatically arranges for the second maintenance by transmitting the maintenance information to the maintenance terminal 70. Then, the processing unit 114 generates arrangement information 206.
[0061] The processing unit 114 generates the first report 301B so as to include result information 204, maintenance type information 205, arrangement information 206, and estimate information 207. In the example of FIG. 5, the result information 204 is a text image stating "Maintenance was performed, but the bearings were not repaired." The maintenance type information 205 is a text image stating "A detailed diagnosis is recommended." The arrangement information 206 is a text image stating "A detailed diagnosis has been arranged." The estimate information 207 is a text image stating "The estimate for a detailed diagnosis is C1 yen."
[0062] Fig. 6 is an example of the second report 302A. Fig. 6 and Fig. 7 described later will explain a case where an abnormality occurs in the vibration sensor Sn of the wind turbine generator 20 and a first maintenance is performed for the abnormality. The second report 302A is an example of a report that is generated when the vibration sensor Sn (abnormal part) that has been subjected to the first maintenance is repaired by the first maintenance.
[0063] 6, the second report 302A includes the first instantaneous value information 211, the second instantaneous value information 212, and the result information 213. In this embodiment, when the voltage value is equal to or greater than the lower limit voltage threshold ThEL and less than the upper limit voltage threshold ThEH, the control device 40 determines that the vibration sensor to which the voltage of the voltage is supplied is a normal location. On the other hand, when the voltage value is less than the lower limit voltage threshold ThEL or equal to or greater than the upper limit voltage threshold ThEH, the control device 40 determines that the vibration sensor to which the voltage of the voltage of the voltage is supplied is an abnormal location.
[0064] The first instantaneous value information 211 is information indicating an instantaneous value of the second pre-maintenance physical quantity 122. In the example of Fig. 2, a voltage value V1 is indicated as the instantaneous value of the second pre-maintenance physical quantity 122. Note that the voltage value V1 is equal to or greater than the upper limit voltage threshold ThEH, that is, an abnormal value.
[0065] The second instantaneous value information 212 is information indicating an instantaneous value of the post-second-maintenance physical quantity 132. In the example of Fig. 2, a voltage value V2 is indicated as the instantaneous value of the post-second-maintenance physical quantity 132. That is, the voltage value V2 is a voltage value supplied to the vibration sensor (vibration sensor in which an abnormality has occurred) after the first maintenance. Note that the voltage value V2 is equal to or greater than the lower limit voltage threshold ThEL and less than the upper limit voltage threshold ThEH, that is, a normal value.
[0066] In the example of FIG. 6, the processing unit 114 compares the pre-second-maintenance physical quantity 122 (first instantaneous value information 211) with the post-second-maintenance physical quantity 132 (second instantaneous value information 212) to determine that the voltage value before the first maintenance is equal to or greater than the upper limit voltage threshold ThEH, but is equal to or greater than the lower limit voltage threshold ThEL and less than the upper limit voltage threshold ThEH after the first maintenance. Therefore, the processing unit 114 determines that the vibration sensor (abnormal location) that has been subjected to the first maintenance has been repaired as a result (effect) of the first maintenance. The processing unit 114 generates the second report 302A so as to include result information 213 indicating the effect. In the example of FIG. 6, the result information 213 is a text image stating, "The vibration sensor has been repaired by maintenance."
[0067] 7 is an example of the second report 302B. The second report 302B is an example of a report that is generated when the first maintenance is performed on the vibration sensor (abnormal portion) but the vibration sensor is not repaired.
[0068] In the example of FIG. 7, the second report 302B includes first instantaneous value information 211, second instantaneous value information 212, result information 214, maintenance type information 215, arrangement information 216, and estimate amount information 217.
[0069] 7, the processing unit 114 compares the pre-first maintenance physical quantity 121 (first instantaneous value information 211) with the post-first maintenance physical quantity 131 (first transition information 201) and finds that the voltage value was equal to or higher than the upper limit voltage threshold ThEH before the first maintenance, and that the voltage value is still equal to or higher than the upper limit voltage threshold ThEH after the first maintenance. Therefore, the processing unit 114 determines that the voltage value has not improved and that the vibration sensor (abnormal location) has not been repaired as a result of the first maintenance.
[0070] Furthermore, the processing unit 114 identifies a maintenance type for repairing the continuing abnormal portion. Then, the processing unit 114 generates maintenance type information 215. The maintenance type indicates the above-mentioned type of second maintenance. Furthermore, the processing unit 114 identifies an estimated cost for the maintenance type. Then, the processing unit 114 generates estimated cost information 217. Identification of the maintenance type and the estimated cost will be described later with reference to FIG. 9.
[0071] Furthermore, the processing unit 114 arranges for the second maintenance by transmitting the maintenance information to the maintenance terminal 70. Then, the processing unit 114 generates arrangement information 216.
[0072] The processing unit 114 generates the second report 302B so as to include result information 214, maintenance type information 215, arrangement information 216, and estimate information 217. In the example of FIG. 7, the result information 214 is a text image stating "Maintenance was performed, but the vibration sensor was not repaired." The maintenance type information 215 is a text image stating "We recommend replacing the vibration sensor." The arrangement information 216 is a text image stating "Arrangements have been made to replace the vibration sensor." The estimate information 217 is a text image stating "The estimated cost for replacing the vibration sensor is C3 yen."
[0073] The first report is a detailed report because it shows the transition of the physical quantities, while the second report is a simplified report because it shows the instantaneous values of the physical quantities.
[0074] [Database] Next, a first DB (Data Base) 141 and a second DB 142 will be described. Fig. 8 is a diagram showing an example of the first DB. In the first DB 141, a wind power generation device ID and a user terminal ID are associated with each other. For example, a wind power generation device ID: W1 is associated with a user terminal ID: U1.
[0075] The processing unit 114 refers to the first DB to identify a user terminal ID corresponding to the wind turbine generator ID included in the generation command. Then, the processing unit 114 transmits the generated report to the user terminal 50 having the identified user terminal ID.
[0076] Fig. 9 is a diagram showing an example of the second DB 142. In the second DB 142, a maintenance ID, a status, a maintenance content, and an estimated cost are associated with each other. The processing unit 114 generates a report by referring to the second DB in Fig. 9.
[0077] "Maintenance ID" is an ID associated with the type of maintenance. "Status" is defined based on the physical quantity before maintenance and the physical quantity after maintenance. "Maintenance content" indicates the content of the second maintenance. The estimated cost is the estimated cost of the second maintenance.
[0078] For example, if the vibration value is not improved before and after the first maintenance, the processing unit 114 decides to recommend the second maintenance with maintenance ID: A1. This case is, for example, the situation indicated by the first transition information 201 and the second transition information 202 shown in Fig. 5. The second maintenance with maintenance ID: A1 is a first precision diagnosis of the target part (the bearing part in the above example), and the estimated cost is C1 yen (see also Fig. 5).
[0079] Furthermore, if the vibration value has improved (decreased) after the first maintenance compared to before the first maintenance, but is not within the normal range, the processing unit 114 decides to recommend a second maintenance with maintenance ID: A2. Although not specifically illustrated, this case is a case in which the vibration value after the first maintenance has decreased (improved) compared to the vibration value before the first maintenance, but is equal to or higher than the upper vibration threshold value ThVH. The second maintenance with maintenance ID: A2 is a second precision diagnosis of the target part (the bearing part in the above example), and the estimated cost is C2 yen.
[0080] If the supply voltage value is not improved before and after the first maintenance, the processing unit 114 decides to recommend a second maintenance with maintenance ID: A3. This case is, for example, the situation indicated by the first instantaneous value information 211 and the second instantaneous value information 212 shown in Fig. 7. The second maintenance with maintenance ID: A3 is a first precision diagnosis of the target sensor (the vibration sensor in the above example), and the estimated cost is C3 yen (see also Fig. 5).
[0081] Furthermore, the processing unit 114 determines that the supply voltage value has improved before and after the first maintenance (the supply voltage value decreases if the supply voltage value before the first maintenance is equal to or greater than the upper voltage threshold ThEH, and the supply voltage value increases if the supply voltage value before the first maintenance is less than the lower voltage threshold ThEL), but if the supply voltage value is not within the normal range, the processing unit 114 determines that a second maintenance with maintenance ID: A4 is recommended. The second maintenance with maintenance ID: A4 is a precision diagnosis of the target sensor (the vibration sensor in the above example), and the estimated cost is C4 yen.
[0082] If significant noise is detected in the waveform of the supply voltage value before and after the first maintenance, the processing unit 114 decides to recommend the second maintenance with maintenance ID: A5. This case is, for example, when the above-mentioned significant noise occurs due to a disturbance (such as noise) caused by the operation of the wind power generation device 20. The second maintenance with maintenance ID: A5 is a full check of the wind power generation unit 45, and the estimated cost is C5 yen.
[0083] [flowchart] 10 is a flowchart showing main processing of the monitoring device 100. In step S2, the monitoring device 100 determines whether or not a generation command has been received. The monitoring device 100 waits until the generation command is received (NO in step S2). When the monitoring device 100 receives the generation command (YES in step S2), the processing proceeds to step S4.
[0084] In step S4, the monitoring device 100 analyzes the generation command to determine whether to generate a first report or a second report based on the sensor ID. If it is determined that the first report is to be generated (YES in step S4), the process proceeds to step S6, and if it is determined that the second report is to be generated (NO in step S4), the process proceeds to step S14.
[0085] In step S6, monitoring device 100 determines whether vibration values for a second predetermined period (see FIG. 2) after the first maintenance have been accumulated. If vibration values for the second predetermined period (see FIG. 2) have not been accumulated (NO in step S6), monitoring device 100 continues acquiring vibration values in step S8. If vibration values for the second predetermined period (see FIG. 2) have been accumulated (YES in step S6), monitoring device 100 proceeds to the process of step S10.
[0086] In step S10, the monitoring device 100 acquires the vibration value before the first maintenance (i.e., the pre-first maintenance physical quantity 121) and the vibration value after the first maintenance (i.e., the post-first maintenance physical quantity 131). Then, the monitoring device 100 executes a first determination process described below in step S12. When the monitoring device 100 finishes the first determination process, the process proceeds to step S18.
[0087] Furthermore, in step S14, the monitoring device 100 acquires the supply voltage value before the first maintenance and the supply voltage value after the first maintenance. Then, the monitoring device 100 executes a second determination process, which will be described later, in step S16. When the monitoring device 100 finishes the second determination process, the process proceeds to step S18.
[0088] 11 is a flowchart showing details of the first determination process in step S12. The monitoring device 100 determines whether the vibration value has improved. If the vibration value has not improved (NO in step S122), in step S124, the monitoring device 100 refers to the second DB and determines whether to recommend a second maintenance for maintenance ID: A1.
[0089] If the vibration value has improved (YES in step S122), in step S126, the monitoring device 100 determines whether or not the vibration value falls within the normal range. If the vibration value falls within the normal range (YES in step S126), in step S130, the monitoring device 100 determines that second maintenance is not necessary. On the other hand, if the vibration value does not fall within the normal range (NO in step S126), in step S128, the monitoring device 100 refers to the second DB and determines whether to recommend second maintenance for maintenance ID: A2.
[0090] 12 is a flowchart showing details of the second determination process of step S16. The monitoring device 100 determines whether the supply voltage value has improved. If the supply voltage value has not improved (NO in step S142), in step S144, the monitoring device 100 refers to the second DB and determines whether to recommend a second maintenance with maintenance ID: A3.
[0091] If the supply voltage value has improved (YES in step S142), in step S146, monitoring device 100 determines whether the supply voltage value is within the normal range. If the supply voltage value is within the normal range (YES in step S146), in step S150, monitoring device 100 determines whether the waveform of the supply voltage value contains noise.
[0092] If the waveform of the supply voltage value does not contain noise (NO in step S150), in step S154, the monitoring device 100 determines that the second maintenance is not necessary. If the supply voltage value is not within the normal range (NO in step S146), in step S148, the monitoring device 100 refers to the second DB and determines that the second maintenance with maintenance ID: A4 is recommended. If the waveform of the supply voltage value contains noise (YES in step S150), in step S152, the monitoring device 100 refers to the second DB and determines that the second maintenance with maintenance ID: A5 is recommended.
[0093] Returning to Fig. 10 for explanation, in step S18, the presence or absence of recommended maintenance (second maintenance) is determined based on the result of the determination process in step S12 or step S16. If recommended maintenance is present (YES in step S18), the monitoring device 100 refers to the second DB to identify an estimated cost in step S20, and arranges for the second maintenance by transmitting maintenance information to the maintenance terminal 70 in step S22. The maintenance information includes at least one of whether the physical quantity has improved and whether the physical quantity is within a normal range.
[0094] If there is no recommended maintenance (NO in step S18), monitoring device 100 generates a report in step S24. The report generated when NO is determined in step S18 is, for example, the first report in Fig. 4 or the second report in Fig. 6. Also, the report generated when YES is determined in step S18 is, for example, the first report in Fig. 5 or the second report in Fig. 7.
[0095] Then, in step S26, the monitoring device 100 transmits the generated report to the user terminal 50. As described above, the first report is created after the loop of steps S6 and S8 is completed. On the other hand, the second report is generated immediately after the monitoring device 100 receives the generation command, since this loop is not executed.
[0096] [Summary] (1) In this embodiment, an abnormality is detected in the wind power generation unit 45, and a worker B performs a first maintenance to repair the abnormality. There are cases where a manager C or the like wants to recognize the effect of the first maintenance. Then, when the first maintenance is completed, the monitoring device 100 generates a report (a first report 301 and a second report 302 shown in FIGS. 4 to 7) based on the pre-maintenance physical quantity (a pre-first maintenance physical quantity 121 in FIG. 4 and a pre-second maintenance physical quantity 122 in FIG. 5) and the post-maintenance physical quantity (a post-first maintenance physical quantity 131 in FIG. 4 and a post-second maintenance physical quantity 132 in FIG. 5), and outputs the report. Therefore, the manager C or the like of the monitoring device 100 can recognize the report based on the physical quantity detected before the maintenance of the power generation device and the physical quantity detected after the maintenance of the power generation device.
[0097] (2) The monitoring device 100 generates a first report 301 (FIGS. 4 and 5) based on the first pre-maintenance physical quantity 121 and the first post-maintenance physical quantity 131. The monitoring device 100 also generates a second report based on the second pre-maintenance physical quantity 122 and the second post-maintenance physical quantity 132. Therefore, the monitoring device 100 can generate a report according to the type of the pre-maintenance physical quantity and the post-maintenance physical quantity.
[0098] (3) The monitoring device 100 generates a first report 301 including the first transition information 201 and the second transition information, as shown in Figures 4 and 5. Therefore, the manager C or the like can recognize the transition of the physical quantity before the first maintenance and the transition of the physical quantity after the first maintenance.
[0099] (4) As shown in Fig. 6 and Fig. 7, the monitoring device 100 generates a second report 302 including the first instantaneous value information 211 and the second instantaneous value information 212. Therefore, the manager C or the like can recognize the instantaneous value of the second pre-maintenance physical quantity and the instantaneous value of the second post-maintenance physical quantity.
[0100] (5) As shown in steps S2 and S4 of FIG. 10, when the generation command includes information indicating that a first report is to be generated (ID of the vibration sensor), the monitoring device 100 generates the first report. Also, when the generation command includes information indicating that a second report is to be generated (ID of the voltage sensor), the monitoring device 100 generates the second report. Therefore, the monitoring device 100 can automatically determine whether to generate the first report or the second report. This can reduce the burden on the administrator C or the like of making a decision on whether to generate the first report (detailed version) or the second report (simplified version), for example.
[0101] (6) The physical quantity before the first maintenance and the physical quantity after the first maintenance are physical quantities (vibration values) detected by the vibration sensor Sn. Therefore, the manager C or the like can recognize the physical quantity (vibration value) before the first maintenance and the physical quantity (vibration value) after the first maintenance at a specific location of the wind power generation unit 45.
[0102] (7) The second pre-maintenance physical quantity and the second post-maintenance physical quantity are voltage values supplied to the vibration sensor Sn. Therefore, the manager C or the like can recognize the supply value before the first maintenance and the supply value after the first maintenance to the vibration sensor Sn.
[0103] (8) Furthermore, the report (such as the first report 301A in FIG. 4) includes result information 203 indicating the results of the first maintenance. Therefore, the manager or the like can recognize the results of the first maintenance.
[0104] (9) The report (such as the first report 301B in FIG. 5) includes the estimated cost information 207 for the second maintenance. Therefore, the manager or the like can recognize the estimated cost of the second maintenance to be performed.
[0105] (10) The monitoring device 100 outputs maintenance information indicating that the second maintenance will be performed to the maintenance terminal 70 of the worker who will perform the second maintenance. Therefore, the monitoring device 100 can automatically request the worker who will perform the second maintenance to perform the second maintenance.
[0106] (11) Furthermore, maintenance information indicating that the second maintenance will be performed is output to the maintenance terminal 70 of the worker who will perform the second maintenance. Therefore, the monitoring device 100 can automatically request the worker who will perform the second maintenance to perform the second maintenance. Therefore, for example, the monitoring device 100 can reduce the burden on user A of requesting the second maintenance.
[0107] (12) The maintenance information includes at least one of information indicating whether the post-maintenance physical quantity has improved from the pre-maintenance physical quantity and information indicating whether the post-maintenance physical quantity falls within a normal range. Therefore, a worker performing the second maintenance can recognize at least one of whether the post-maintenance physical quantity has improved from the pre-maintenance physical quantity and whether the post-maintenance physical quantity falls within a normal range before the second maintenance. Therefore, the burden on the worker can be reduced in terms of preparation for the second maintenance, etc.
[0108] (13) The monitoring device 100 transmits a report to the user terminal 50 corresponding to the wind power generation unit 45 for which the first maintenance was performed. Therefore, user A (owner) of the power generation device can view the report.
[0109] <Second embodiment> For example, M (M is an integer equal to or greater than 1) wind power generation units 45 may be related to each other. More specifically, the wind power generation devices of the M wind power generation units are related to each other. Here, "related" means, for example, that the M wind power generation devices have the same configuration and that the M wind power generation devices constitute the same wind farm WF. Therefore, the external environments (temperature, humidity, air volume, etc.) of the M power generation units are similar. Note that, as a modified example, "related" may be a concept that includes at least one of the M wind power generation devices having the same start time of operation and the M wind power generation devices being the same model.
[0110] The M wind power generation devices include "one wind power generation unit 45 (first wind power generation unit)" and "another wind power generation unit 45 (second wind power generation unit)." The "one wind power generation unit 45" and the "other wind power generation unit 45" are related to each other.
[0111] In this embodiment, it is assumed that an abnormality is detected in one wind power generation unit 45. Here, the "first wind power generation unit 45" and the "other wind power generation units 45" are related to each other. Therefore, the same abnormality as that which occurred in the first wind power generation unit 45 tends to occur in the other wind power generation units 45. Even if the abnormality in the first wind power generation unit 45 in which an abnormality was detected is resolved, the same abnormality tends to occur again in the first wind power generation unit 45.
[0112] In view of such a 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 wind power generation units 45. The monitoring parameters 530 are parameters used for monitoring the wind power generation units 45. The change control is control for improving the accuracy of detection of an abnormality or abnormality sign in M wind power generation devices including "one of the wind power generation units 45" and "other wind power generation units 45." The abnormality information is information indicating an abnormal location or abnormality sign location in the wind power generation unit 45. The abnormality information may also be information (for example, the vibration value or supply voltage value described above) used by the monitoring device 100 to identify an abnormal location or abnormality sign location in the wind power generation unit 45.
[0113] The first wind power generation unit 45 and the other wind power generation units 45 have the following configuration. At least one first sensor (vibration sensor Sn and voltage sensor SVn) that detects a physical quantity related to the operation of the first wind power generation unit 45 is disposed in the first wind power generation unit 45. At least one second sensor (vibration sensor Sn and voltage sensor SVn) that detects a physical quantity related to the operation of the other wind power generation unit 45 is disposed in the other wind power generation 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 wind power generation unit 45 is the same as the location of the at least one second sensor in the other wind power generation units 45. The monitoring device 100 detects an abnormality or a sign of an abnormality in the other power generation devices based on the physical quantity detected by the at least one second sensor and the monitoring parameters 530 changed by the change control.
[0114] In the second embodiment, an example will be described in which AI (Artificial Intelligence) 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 wind power generation unit 45. The thresholds include, for example, the above-mentioned upper vibration threshold ThVH, upper voltage threshold ThEH, and lower voltage threshold ThEL.
[0115] FIG. 13 is a functional block diagram of the monitoring device 100 according to the present embodiment. As shown in FIG. 13, 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 abnormality information and monitoring parameters, or a combination of maintenance information and monitoring parameters described later is used as training data.
[0116] The acquisition unit 522 acquires the abnormality information and the maintenance result from a predetermined terminal. The abnormality information is acquired, for example, from the control device 40. Furthermore, the maintenance result is acquired from the worker terminal 60. The control device 40 and the worker terminal 60 correspond to the "predetermined terminal" in the present disclosure.
[0117] 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.
[0118] As shown below, 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 wind power generation units 45" and the "first wind power generation unit 45 from which the abnormality has been resolved." A specific description will be given below. The monitoring device 100 starts monitoring the first wind power generation unit 45 when the amount of power generated by the first wind power generation 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 wind power generation units 45 when the amount of power generated by the other wind power generation 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 wind power generation units 45 can be advanced, and therefore an abnormality in the other wind power generation units 45 can be found early. Therefore, the accuracy of detecting abnormalities in the other wind power generation units 45 can be improved.
[0119] Furthermore, the monitoring device 100 monitors one wind power generation unit 45 for each first period. The monitoring device 100 monitors the other wind power generation 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 wind power generation units 45 is increased, making it possible to detect abnormalities in the other wind power generation units 45 at an early stage.
[0120] The monitoring device 100 monitors one wind power generation unit 45 using the intensity of each first frequency band in the first frequency spectrum of the one wind power generation 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 wind power generation units 45 using the intensity of each second frequency band in the second frequency spectrum of the other wind power generation 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 predictor 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 wind power generation units 45, and therefore it is possible to find an abnormality in the other power generation units early. Therefore, abnormalities in other wind power generation units 45 can be detected early.
[0121] The monitoring device 100 monitors one wind power generation unit 45 based on the physical quantity detected by at least one first sensor and the third thresholds (upper vibration threshold ThVH, upper voltage threshold ThEH, and lower voltage threshold ThEL). The monitoring device 100 monitors the other wind power generation units 45 based on the physical quantity detected by at least one second sensor and the fourth thresholds (upper vibration threshold ThVH, upper voltage threshold ThEH, and lower voltage threshold ThEL). Either the range greater than the third threshold or the range smaller than the third threshold is an undetected range in which no abnormality is detected in one wind power generation unit 45. The monitoring parameters 530 include a fourth threshold. The estimation unit 1102 estimates the fourth threshold (monitoring parameters 530) so that the fourth threshold corresponding to the abnormal location or the abnormality precursor location belongs to the undetected range.
[0122] According to this configuration, the threshold value (fourth threshold value) used for monitoring the other wind power generation units 45 is changed to the undetectable range of the third threshold value, so that an abnormality in the other wind power generation units 45 can be detected early.
[0123] In the above example, the estimation unit 1102 is mainly controlled to estimate the monitoring parameters 530 used for monitoring other wind power generation units 45. However, the estimation unit 1102 may be configured to estimate the monitoring parameters 530 used for monitoring one wind power generation 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 wind power generation unit 45.
[0124] Next, the maintenance result will be described. The maintenance result is information input by the worker C to the worker terminal 60. The worker C is the person who performed maintenance on the wind power generation equipment (here, one wind power generation unit 45) in which an abnormality has occurred. The maintenance includes inspection of the wind power generation equipment and repair of the wind power generation equipment. The worker terminal 60 is a terminal (for example, a mobile terminal) held by the worker C.
[0125] Fig. 14 shows an example of a screen displayed on the worker terminal 60. Fig. 14(A) shows an example of an input screen 401, and Fig. 14(B) shows an example of a transmitted screen 402. For example, worker C 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.
[0126] An image without abnormality 411, an image with abnormality 412, an input area 414, and a send button 415 are displayed on the input screen 401. The image without abnormality 411, the image with abnormality 412, and the input area 414 are images for inputting the maintenance results by the worker C. In the example of Fig. 14, the worker C can specify either the image without abnormality 411 or the image with abnormality 412 by using a radio button.
[0127] For example, a worker C is dispatched to a first wind power generation unit 45 for maintenance and inspects a portion of the first wind power generation unit 45 that is determined to be abnormal. However, when the worker C inspects the portion determined to be abnormal, there may be cases where no abnormality actually occurs in the portion. In this case, the worker C designates an image 411 showing no abnormality and operates the send button 415.
[0128] Furthermore, if operator C inspects the portion of the one wind power generation unit 45 that is determined to be abnormal and determines that an abnormality has occurred, operator C designates an abnormality image 412. Furthermore, operator C inputs the details of the emergency maintenance (such as replacing a bearing) in input area 414. Then operator C operates send button 415.
[0129] When the send button 415 is operated, the worker terminal 60 sends the ID of the wind power generation device to be maintained and the maintenance results 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. 14(B). By displaying this sent screen, the worker terminal 60 can recognize that the maintenance results have been sent to the monitoring device 100.
[0130] 14, the monitoring device 100 causes the worker terminal 60 to maintain the display of the input screen 401 until the maintenance result is input on the input screen 401. In other words, the worker terminal 60 displays the transmitted screen 402 only when the maintenance result is input on the input screen 401.
[0131] There is a case where an operator C inspects a portion of one wind power generation unit 45 that is determined to be abnormal, but finds that no abnormality has occurred in that portion. In this case, if the monitoring parameters 530 have not been changed, even if an abnormality has been identified in another wind power generation unit 45, there is a high possibility that the result of the maintenance (inspection) for that abnormality will be that no abnormality has actually occurred.
[0132] Therefore, when the maintenance result shows that no abnormality has occurred in one wind power generation 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.
[0133] Generally, even if the result of maintenance (inspection) of a portion of one wind power generation unit 45 where an abnormality is identified shows that an abnormality has occurred and the abnormality is repaired by maintenance (repair), there is a high possibility that an abnormality will occur in the same portion of another wind power generation unit 45. Therefore, when the result of maintenance shows that an abnormality has occurred in one wind power generation unit 45 (when an image with abnormality 412 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 detection of an abnormality in another wind power generation unit 45 can be realized.
[0134] [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.
[0135] (2) In the above embodiment, the generation command includes information (e.g., a sensor ID) indicating the abnormal location where the first maintenance was performed as the determination information indicating whether the first report or the second report is to be generated. However, the determination information may be other information. For example, the determination information may be information (a report format) that directly indicates whether the first report or the second report is to be generated. In addition, the determination information may be information indicating work items such as the contents of the first maintenance (bearing replacement, grease oil replacement, measurement sensor replacement, etc.).
[0136] (3) 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.
[0137] (4) The instantaneous value (the second pre-maintenance physical quantity and the second post-maintenance physical quantity) is the voltage value supplied to the vibration sensor Sn. However, the instantaneous value may be another value as long as it indicates the operating status (presence or absence of an abnormality, etc.) of the wind power generation unit 45. The instantaneous value may be, for example, the temperature of the wind power generation device 20.
[0138] [Note] (Supplementary Note 1) An information processing device related to a power generation device, the power generation device includes a sensor that detects physical quantities related to operation of the power generation device, the physical quantities are used to identify the presence or absence of an abnormality in the power generation device, the information processing device includes a memory that stores the physical quantities and a calculation device, the physical quantities include a pre-maintenance physical quantity that is detected by the sensor before first maintenance for the abnormality in the power generation device and used to detect the abnormality, and a post-maintenance physical quantity that is detected after the first maintenance by the sensor that detected the pre-maintenance physical quantity, and the calculation device generates physical quantity information based on the pre-maintenance physical quantity and the post-maintenance physical quantity, and outputs the physical quantity information.
[0139] According to such a configuration, the manager of the power generating plant or the like can recognize the result of the comparison between the pre-maintenance physical quantity and the post-maintenance physical quantity.
[0140] (Supplementary Note 2) The information processing device described in Supplementary Note 1, wherein the pre-maintenance physical quantity includes a first pre-maintenance physical quantity acquired over a first predetermined period before the first maintenance, and a second pre-maintenance physical quantity which is an instantaneous value acquired before the first maintenance, and the post-maintenance physical quantity includes a post-first maintenance physical quantity acquired over a second predetermined period after the first maintenance, and a second post-maintenance physical quantity which is an instantaneous value acquired after the first maintenance, and the calculation device generates first physical quantity information as physical quantity information based on the first pre-maintenance physical quantity and the post-first maintenance physical quantity and outputs the first physical quantity information, and generates second physical quantity information as physical quantity information based on the second pre-maintenance physical quantity and the post-second maintenance physical quantity and outputs the second physical quantity information.
[0141] According to this configuration, the information processing device can generate physical quantity information according to the types of the pre-maintenance physical quantity and the post-maintenance physical quantity.
[0142] (Supplementary Note 3) The information processing device described in Supplementary Note 2, wherein the first physical quantity information includes information indicating a trend in the first pre-maintenance physical quantity over a first predetermined period and information indicating a trend in the first post-maintenance physical quantity over a second predetermined period.
[0143] According to this configuration, a manager of the power generation plant or the like can recognize the transition of the physical quantity before the first maintenance and the transition of the physical quantity after the first maintenance.
[0144] (Supplementary Note 4) The information processing device according to Supplementary Note 2 or 3, wherein the second physical quantity information includes information indicating an instantaneous value of the second physical quantity before maintenance and information indicating an instantaneous value of the second physical quantity after maintenance.
[0145] According to this configuration, a manager of the power generation plant or the like can recognize the instantaneous value of the second pre-maintenance physical quantity and the instantaneous value of the second post-maintenance physical quantity.
[0146] (Supplementary Note 5) The information processing device according to any one of Supplementary Notes 2 to 4, wherein the information processing device generates physical quantity information when a command indicating to generate physical quantity information is received, generates the first physical quantity information when the command includes information indicating to generate first physical quantity information, and generates the second physical quantity information when the command includes information indicating to generate second physical quantity information.
[0147] According to this configuration, the information processing device can automatically determine whether to generate the first physical quantity information or the second physical quantity information.
[0148] (Appendix 6) An information processing device described in any one of Appendices 2 to 5, wherein the sensor includes a first sensor that detects a physical quantity at a specific location of the power generation equipment, and the first pre-maintenance physical quantity and the first post-maintenance physical quantity are physical quantities detected by the first sensor.
[0149] According to such a configuration, a manager of the power generation equipment or the like can recognize the physical quantity before the first maintenance and the physical quantity after the first maintenance at a predetermined location of the power generation equipment.
[0150] (Appendix 7) The information processing device according to appendix 6, wherein the sensor includes a second sensor that detects a supply value which is a supply current or a supply voltage to the first sensor, and the second pre-maintenance physical quantity and the second post-maintenance physical quantity are the supply values.
[0151] According to this configuration, a manager of the power generation device or the like can recognize the supply value to the first sensor before the first maintenance and the supply value after the first maintenance.
[0152] (Appendix 8) An information processing device according to any one of Appendices 1 to 7, wherein the calculation device identifies a result of the first maintenance based on the pre-maintenance physical quantity and the post-maintenance physical quantity, and the physical quantity information includes information indicating the result of the first maintenance.
[0153] According to this configuration, the manager of the power generation system or the like can recognize the results of the first maintenance.
[0154] (Appendix 9) An information processing device according to any one of Appendices 1 to 8, wherein the calculation device identifies a type of a second maintenance after the first maintenance based on the pre-maintenance physical quantity and the post-maintenance physical quantity, and the physical quantity information includes information indicating the type of the second maintenance.
[0155] According to such a configuration, a manager of the power generation plant or the like can recognize the type of second maintenance that is to be performed after the first maintenance.
[0156] (Supplementary Note 10) The information processing device according to Supplementary Note 9, wherein the calculation device identifies an estimated amount for the type of second maintenance, and the physical quantity information includes information indicating an estimated amount for the second maintenance of the identified type.
[0157] According to this configuration, the manager of the power generation system or the like can recognize the estimated cost of the second maintenance to be performed.
[0158] (Supplementary Note 11) The information processing device according to Supplementary Note 9 or Supplementary Note 10, wherein the calculation device outputs maintenance information indicating that the second maintenance of the identified type will be performed to a terminal of a worker who will perform the second maintenance.
[0159] According to this configuration, the second maintenance can be automatically requested to be performed by a worker who will carry out the second maintenance.
[0160] (Appendix 12) An information processing device as described in Appendix 11, wherein the maintenance information includes at least one of information indicating whether the post-maintenance physical quantity has improved compared to the pre-maintenance physical quantity and information indicating whether the post-maintenance physical quantity falls within a normal range.
[0161] With this configuration, the worker performing the second maintenance can recognize at least one of whether the post-maintenance physical quantity has improved compared to the pre-maintenance physical quantity and whether the post-maintenance physical quantity falls within a normal range.
[0162] (Supplementary Note 13) The information processing device according to any one of Supplementary Notes 1 to 12, wherein the arithmetic device transmits physical quantity information to a terminal of an owner of the power generation device.
[0163] According to this configuration, the owner of the power generating device can be made aware of the physical quantity information. (Appendix 14) The memory stores a machine-learned model, the information processing device further includes an interface that acquires a maintenance result of the power generation device or abnormality information of the power generation device from a predetermined terminal; The information processing device according to any one of Supplementary Note 1 to Supplementary Note 13, wherein the arithmetic device executes change control for changing monitoring parameters used to monitor the power generation device by applying the abnormality information or the maintenance results to the trained model.
[0164] 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.
[0165] (Supplementary Note 15) An information processing method comprising: acquiring a pre-first-maintenance physical quantity detected before first maintenance of a power generation device including a power generation device, and a post-first-maintenance physical quantity detected after first maintenance of the power generation device, generating physical quantity information based on the pre-first-maintenance physical quantity and the post-first-maintenance physical quantity, and outputting the physical quantity information.
[0166] 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]
[0167] 10 Management system, 20 Wind power generation device, 30 Collecting device, 40 Control device, 45 Wind power generation unit, 50 User terminal, 60 Worker terminal, 70 Maintenance terminal, 100 Monitoring device, 102 Calculating device, 104 Memory, 106 Communication interface, 112 Receiving unit, 114 Processing unit, 116 Transmitting unit, 118 Storage unit, 121 First pre-maintenance physical quantity, 122 Second pre-maintenance physical quantity, 131 First post-maintenance physical quantity, 132 Second post-maintenance physical quantity, 141 First DB, 142 Second DB, 201 First transition information, 202 Second transition information, 203, 204, 213, 214 Result information, 205, 215 Maintenance type information, 206, 216 Order information, 207, 217 Estimated amount information, 211 First instantaneous value information, 212 Second instantaneous value information.
Claims
1. An information processing device for a power generation device, the power generation device includes a sensor for detecting a physical quantity related to an operation of the power generation device; The physical quantity is used to identify the presence or absence of an abnormality in the power generation device, The information processing device includes: A memory that stores the physical quantity; A computing device, The physical quantity is a pre-maintenance physical quantity that is detected by a sensor before a first maintenance for an abnormality in the power generation device and that is used to detect the abnormality; a post-maintenance physical quantity detected after the first maintenance by a sensor that detected the pre-maintenance physical quantity, The arithmetic device generates physical quantity information based on the pre-maintenance physical quantity and the post-maintenance physical quantity, and outputs the physical quantity information.
2. The pre-maintenance physical quantity is A first pre-maintenance physical quantity acquired over a first predetermined period before the first maintenance; a second pre-maintenance physical quantity that is an instantaneous value acquired before the first maintenance, The post-maintenance physical quantity is a first post-maintenance physical quantity acquired over a second predetermined period after the first maintenance; and a second post-maintenance physical quantity that is an instantaneous value acquired after the first maintenance, The computing device includes: generating first physical quantity information as the physical quantity information based on the first pre-maintenance physical quantity and the first post-maintenance physical quantity, and outputting the first physical quantity information; The information processing apparatus according to claim 1 , further comprising: generating second physical quantity information as the physical quantity information based on the second pre-maintenance physical quantity and the second post-maintenance physical quantity; and outputting the second physical quantity information.
3. The first physical quantity information is Information indicating a transition of the first pre-maintenance physical quantity over the first predetermined period; and The information processing apparatus according to claim 2 , further comprising information indicating a transition of the first post-maintenance physical quantity over the second predetermined period.
4. The second physical quantity information is Information indicating an instantaneous value of the second pre-maintenance physical quantity; The information processing apparatus according to claim 2 , further comprising information indicating an instantaneous value of the second post-maintenance physical quantity.
5. The information processing device includes: generating physical quantity information when a command indicating generation of the physical quantity information is received; generating first physical quantity information when the command includes information indicating generation of the first physical quantity information; The information processing apparatus according to claim 2 , further comprising: a processor configured to generate second physical quantity information when the command includes information indicating generation of the second physical quantity information.
6. the sensor includes a first sensor that detects a physical quantity at a predetermined location of the power generation device; The information processing apparatus according to claim 2 , wherein the first pre-maintenance physical quantity and the first post-maintenance physical quantity are physical quantities detected by the first sensor.
7. The sensor includes a second sensor that detects a supply value that is a supply current or a supply voltage to the first sensor; The information processing apparatus according to claim 6 , wherein the second pre-maintenance physical quantity and the second post-maintenance physical quantity are the supply values.
8. The calculation device specifies a result of the first maintenance based on the pre-maintenance physical quantity and the post-maintenance physical quantity, 4. The information processing apparatus according to claim 1, wherein the physical quantity information includes information indicating a result of the first maintenance.
9. The calculation device identifies a type of a second maintenance to be performed after the first maintenance based on the pre-maintenance physical quantity and the post-maintenance physical quantity, 4. The information processing apparatus according to claim 1, wherein the physical quantity information includes information indicating a type of the second maintenance.
10. The calculation device specifies an estimated price for the type of the second maintenance, The information processing apparatus according to claim 9 , wherein the physical quantity information includes information indicating an estimated cost of the second maintenance of a specified type.
11. The information processing apparatus according to claim 9 , wherein the arithmetic device outputs, to a terminal of a worker who will perform the second maintenance of the identified type, maintenance information indicating that the second maintenance will be performed.
12. The information processing device according to claim 11 , wherein the maintenance information includes at least one of information indicating whether the post-maintenance physical quantity has been improved compared to the pre-maintenance physical quantity and information indicating whether the post-maintenance physical quantity falls within a normal range.
13. The information processing device according to claim 1, wherein the computing device transmits the physical quantity information to a terminal of an owner of the power generation device.
14. The memory stores a machine-learned model, the information processing device further includes an interface that acquires a maintenance result of the power generation device or abnormality information of the power generation device from a predetermined terminal; The information processing device according to any one of claims 1 to 3, wherein the arithmetic device executes change control for changing monitoring parameters used to monitor the power generation device by applying the abnormality information or the maintenance result to the trained model.
15. acquiring a pre-first-maintenance physical quantity detected before a first maintenance of a power generation device including a power generation device and a post-first-maintenance physical quantity detected after the first maintenance of the power generation device; generating physical quantity information based on the first pre-maintenance physical quantity and the first post-maintenance physical quantity; and outputting the physical quantity information.
Citation Information
Patent Citations
State monitoring system
JP2013185507A