Information processing apparatus and information processing method

Abstract

A monitoring device (100) generates a report on the basis of a pre-maintenance physical quantity detected by a sensor (S) before performing a first maintenance on an abnormality of a wind power generation unit (45), and a post-maintenance physical quantity detected by the sensor (S) that detects the pre-maintenance physical quantity after the first maintenance, and outputs the report.

Description

Technical Field

[0001] This disclosure relates to information processing apparatus and information processing methods. Background Technology

[0002] For example, Japanese Patent Application Publication No. 2013-185507 (Patent Document 1) discloses a condition monitoring system for a wind power generation device. This condition monitoring system includes a sensor that detects physical quantities (e.g., vibration values) at the location of the wind power generation device. Based on the physical quantities detected by the sensor, the condition monitoring system diagnoses whether any abnormalities exist. Then, the condition monitoring system displays the diagnostic results on the display unit of a monitoring terminal. Existing technical documents Patent documents

[0003] Patent Document 1: Japanese Patent Application Publication No. 2013-185507 Summary of the Invention The technical problem that the invention aims to solve

[0004] In the aforementioned condition monitoring system, when an anomaly is detected in a power generation device such as a wind turbine, the operator may perform maintenance on the detected part. However, in this system, managers of the power generation device cannot distinguish between the physical quantities detected before and after the maintenance.

[0005] This disclosure was made to solve the above-mentioned problems, and its purpose is to enable managers and others to identify physical quantity information based on physical quantities detected before and after maintenance of the power generation equipment. Technical solutions to solve technical problems

[0006] This disclosure relates to an information processing apparatus for power generation. The power generation apparatus includes sensors for detecting physical quantities related to its operation. These physical quantities are used to determine whether the power generation apparatus is malfunctioning. The information processing apparatus includes: a memory for storing the physical quantities; and a processing unit. The physical quantities include: a pre-maintenance physical quantity detected by sensors before a first maintenance is performed on a malfunction in the power generation apparatus, and used to detect the malfunction; and a post-maintenance physical quantity detected by the sensors that detected the pre-maintenance physical quantity after the first maintenance. The processing unit generates physical quantity information based on the pre-maintenance and post-maintenance physical quantities and outputs the physical quantity information.

[0007] The information processing method of the present invention includes the steps of acquiring physical quantities before and after a first maintenance, wherein the physical quantities before maintenance are detected before the first maintenance of a power generation device including a power generation device, and the physical quantities after maintenance are detected after the first maintenance of the power generation device. The information processing method includes the step of generating physical quantity information based on the physical quantities before and after maintenance. The information processing method includes the step of outputting the physical quantity information. Invention Effects

[0008] According to this disclosure, managers and others can obtain information on physical quantities based on the physical quantities detected before and after the maintenance of the power generation equipment. Attached Figure Description

[0009] Figure 1 This is a diagram illustrating an example of the structure of the management system 10 disclosed herein. Figure 2 It is a diagram used to illustrate the acquisition of physical quantities, etc. Figure 3 This is a functional block diagram of the monitoring device. Figure 4 This is a diagram used to illustrate an example from the first report. Figure 5 This is a diagram used to illustrate an example from the first report. Figure 6 This is a diagram used to illustrate an example from the second report. Figure 7 This is a diagram used to illustrate an example from the second report. Figure 8 This is a diagram used to illustrate an example of the first DB. Figure 9 This is a diagram used to illustrate an example of the second DB. Figure 10 This is a flowchart illustrating the main processes of the monitoring device. Figure 11 This is a flowchart showing the details of the first decision-making process. Figure 12 This is a flowchart showing the details of the second decision-making process. Figure 13 This is a functional block diagram of a monitoring device in other embodiments. Figure 14 This is an example of the screen displayed on the operator's terminal. Detailed Implementation

[0010] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the following drawings, the same or equivalent parts are labeled with the same reference numerals, and their descriptions will not be repeated.

[0011] <Implementation Method 1> Figure 1 This diagram illustrates a structural example of the management system 10 according to Embodiment 1. The management system 10 of this disclosure includes M (M is an integer greater than or equal to 1) wind power generation units 45, a monitoring device 100, a user terminal 50, an operator terminal 60, a maintenance terminal 70, and a network NW. The control device 40, monitoring device 100, and user terminal 50, described later, can communicate with the operator terminal 60 and maintenance terminal 70 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 sensors S. Sensors S include N (N being an integer greater than or equal to 1) vibration sensors Sn (n = 1, ..., N, where N is an integer greater than or equal to 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 to generate electricity. The wind power generation device 20 includes a bearing section and a generator, etc. Vibration sensors Sn detect vibration values ​​at specified locations (e.g., the bearing section) of the wind power generation device 20. The vibration values ​​correspond to the "physical quantities" of this disclosure. Furthermore, the vibration value is represented, for example, by one of the displacement, velocity, and acceleration of the specified location. The vibration values ​​detected by N vibration sensors Sn are output to a 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 this supplied voltage. Additionally, each vibration sensor Sn is equipped with a corresponding voltage sensor SVn. The voltage values ​​detected by the N voltage sensors SVn are output to the collection device 30.

[0015] Therefore, 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 quantities related to the operation of the power generation device" in this disclosure. The voltage value detected by SVn is also referred to as the "supply voltage value".

[0016] The vibration and voltage values ​​collected by the collection device 30 are output to the control device 40. The control device 40 detects any abnormalities in the wind power generation unit 20 and identifies any abnormal locations based on the vibration values ​​from the collection device 30. For example, the control device 40 performs a Fast Fourier Transform (FFT) on the vibration values ​​(time series data) accumulated over a specified period (e.g., one month) to generate a spectrum. The control device 40 then uses this spectrum to detect any abnormalities in the wind power generation unit 20 and identify any abnormal locations. Thus, physical quantities are used to determine whether there are any abnormalities in the wind power generation unit 45. As described above, the control device 40 performs anomaly detection processing to detect whether there are any abnormalities in the wind power generation unit 45, including the control device 40. However, as a variation, the anomaly detection processing can also be performed by the monitoring device 100.

[0017] Furthermore, in this embodiment, "abnormality" refers to, for example, damage to the wind power generation device 20. Additionally, in this embodiment, "abnormal location" includes not only locations where an abnormality has occurred, but also locations showing signs of an abnormality. Locations showing signs of an abnormality are those where no abnormality has occurred at the present moment, but which are anticipated to occur in the future.

[0018] Furthermore, the control device 40 detects whether the vibration sensor Sn, to which the voltage value is supplied, is malfunctioning based on the voltage value received from the collection device 30. The supply voltage value provided to the vibration sensor Sn is preset, and the range centered on this supply voltage value is defined as the normal range of the supply voltage value. If the voltage value from the collection device 30 is 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 collection device 30 is outside the normal range, the control device 40 determines that the vibration sensor Sn to which the voltage value is supplied is malfunctioning.

[0019] Additionally, a wind power generation device ID (identification code) is assigned to the wind power generation device 20 for identification purposes. A vibration sensor ID is assigned to the vibration sensor Sn for identification purposes. A voltage sensor ID is assigned to the voltage sensor SVn for identification purposes.

[0020] The control device 40 sends the physical quantities (vibration values ​​and voltage values) collected by the collection device 30 to the monitoring device 100. Further, if the control device 40 detects an anomaly in the wind power generation device 20 or an anomaly in the vibration sensor Sn, it sends an anomaly message to the monitoring device 100. The anomaly message includes information such as the location of the anomaly (abnormal location). The abnormal location includes the location of the anomaly in the wind power generation device 20 and the location of the anomaly in the vibration sensor Sn. The location of the anomaly in the wind power generation device 20 is defined, for example, by the wind power generation device ID and the vibration sensor ID. The anomaly of the vibration sensor Sn is defined by the voltage sensor ID of the voltage sensor that detects the voltage supplied to the vibration sensor Sn.

[0021] User terminal 50 is a terminal device owned by user A. "User A" typically refers to the person who owns the wind power generation device 20, such as a power generation company. User terminal 50 is typically a mobile terminal that user A can carry. Alternatively, user terminal 50 can also be a dedicated computer terminal.

[0022] Maintenance terminal 70 is a terminal related to the maintenance of wind power generation unit 20. In the event of an anomaly in wind power generation unit 20, the maintenance operator B (maintenance service provider) performs maintenance to eliminate the anomaly. Therefore, monitoring device 100 delegates the maintenance of wind power generation unit 20 to the maintenance service provider. The maintenance performed to eliminate the anomaly is also referred to as "first maintenance."

[0023] The maintenance terminal 70 is the terminal operated by the maintenance management personnel D of the maintenance service provider. For example, the maintenance terminal 70 is the terminal that accepts the maintenance request. Specifically, the monitoring device 100 sends maintenance information for requesting maintenance to the maintenance terminal 70. The display unit of the maintenance terminal 70 displays a request image based on the maintenance information. This request image includes, for example, the address of the wind power generation unit 20 to be maintained, the date and time of maintenance, etc. The management personnel D, having visually confirmed the request image, arranges for operator B to arrive at the address and date and time displayed in the image. The term "operator" typically refers to personnel who perform maintenance on any abnormalities of the wind power generation unit 20.

[0024] The operator terminal 60 is a terminal device possessed by the operator B dispatched to the wind power generation unit 20. The operator terminal 60 is typically a mobile terminal carried by the operator B. The operator B inputs start and end information into the operator terminal 60. The start information indicates that the operator B has begun maintenance. The end information indicates that the operator B has finished maintenance. That is, when the operator B begins maintenance on the wind power generation unit 45, the operator B inputs start information into the operator terminal 60. Similarly, when the operator B finishes maintenance on the wind power generation unit 45, the operator B inputs end information into the operator terminal 60.

[0025] The monitoring device 100 corresponds to the "information processing device related to power generation equipment" of this disclosure. The monitoring device 100 is a terminal operated by the manager C. If the monitoring device 100 acquires abnormal information, it analyzes the abnormal information to determine the abnormal location. Then, it sends the abnormal location to the user terminal 50. The user terminal 50 displays the abnormal location on its display, enabling the user A to identify any abnormalities in the wind power generation equipment 20 or the vibration sensor Sn, and the location of the abnormality. Furthermore, the monitoring device 100 sends maintenance information containing the abnormal location to the maintenance terminal 70. This allows the manager D to identify the abnormal location in advance.

[0026] The monitoring device 100 includes a computing unit 102, a memory 104, and a communication interface 106. Furthermore, the communication interface is located in... Figure 1 This is referred to as "Communication I / F". The arithmetic unit 102 performs various processing and calculations. The various structural elements are interconnected via a data bus. The memory 104 includes ROM (Read Only Memory) and RAM (Random Access Memory), etc.

[0027] The computing device 102 is composed of a CPU (Central Processing Unit), an FPGA (Field-Programmable Gate Array), and a GPU (Graphics Processing Unit). Alternatively, the computing device 102 may be composed of at least one of a CPU, FPGA, and GPU. Furthermore, the computing device 102 may also be composed of processing circuitry. The computing device 102 is also referred to as "at least one processor" or "processing circuitry".

[0028] The memory 104 includes a volatile storage area (e.g., a working area) that temporarily stores program code, working records, etc., each time the arithmetic device 102 executes any program. For example, the memory 104 includes RAM (Random Access Memory) and ROM (Read Only Memory).

[0029] ROM stores the program executed by the arithmetic unit 102. RAM temporarily stores data and other data generated by executing the program in the arithmetic unit 102. RAM can function as a temporary data memory, which is used as a working area.

[0030] The communication interface 106 is configured to communicate with external devices (such as control device 40) of the monitoring device 100.

[0031] However, after performing maintenance on the wind power generation unit 45, the manager C or user A wants to identify whether the abnormal parts have been improved through the maintenance of the wind power generation unit 45.

[0032] Therefore, the monitoring device 100 of this embodiment generates a report based on the physical quantities before and after maintenance. The "report" indicates whether any abnormal parts, etc., were repaired through the first maintenance. The report corresponds to the "physical quantity information" of this disclosure. The monitoring device 100 outputs the report. The report output may include, for example, being displayed on the display unit of the monitoring device 100, or printed on paper. Thus, the manager C can identify the report.

[0033] Furthermore, the monitoring device 100 sends a report to the user terminal 50. The user terminal 50 displays the report, allowing user A to identify whether the abnormal area has been improved through the maintenance (first maintenance) of the wind power generation unit 45. Additionally, if the monitoring device 100 determines that the abnormal area has not been improved, it decides to perform a second maintenance. The second maintenance is a further maintenance following the first maintenance.

[0034] "Pre-maintenance physical quantity" refers to the physical quantity detected by sensor S before the first maintenance. The pre-maintenance physical quantity is used to detect anomalies. That is, the pre-maintenance physical quantity includes physical quantities judged to be abnormal (outlier values). The first maintenance is used to improve these anomalies.

[0035] "Post-maintenance physical quantity" refers to the physical quantity detected after the first maintenance using a sensor that detects the physical quantity before maintenance.

[0036] Figure 2 It is a diagram used to illustrate the acquisition of physical quantities, etc. Figure 2 The horizontal axis in the graph represents the time axis. Additionally, regarding... Figure 2The time T1 to T6 are recorded, and the monitoring device 100 identifies the time T1 to T6.

[0037] The pre-maintenance physical quantities further include a first pre-maintenance physical quantity and a second pre-maintenance physical quantity. The first pre-maintenance physical quantity is the physical quantity acquired throughout the entire first specified period prior to the first maintenance. In other words, the first pre-maintenance physical quantity is the physical quantity required to be acquired throughout the entire first specified period for detecting anomalies in the wind power generation unit 45. The first specified period is the same as the aforementioned specified period, for example, set as "one month". The first pre-maintenance physical quantity is, for example, the vibration value detected by the vibration sensor Sn. Figure 2 In this context, the period from time T1 to time T3 is recorded as the first specified period. The physical quantity before the first maintenance is the physical quantity acquired during the entire first specified period (time T1 to time T3).

[0038] The physical quantity prior to the second maintenance is an instantaneous value, acquired before the first maintenance. In other words, the physical quantity prior to the second maintenance is a physical quantity that can be acquired instantaneously to detect anomalies in the wind power generation unit 45. For example, the physical quantity prior to the second maintenance is the voltage value detected by the voltage sensor SVn. Figure 2 In this context, time T2 is recorded as the time when the physical quantity was acquired before the second maintenance. At time T2, the physical quantity (voltage value) before the second maintenance, which is an outlier, is detected.

[0039] Figure 2 Time T3 is the time when the aforementioned start information is input to the operator terminal 60. Time T4 is the time when the aforementioned end information is input to the operator terminal 60. The monitoring device 100 identifies the period from time T3 to time T4 as the period for performing the first maintenance (first maintenance period).

[0040] The post-maintenance physical quantities further include a first post-maintenance physical quantity and a second post-maintenance physical quantity. The first post-maintenance physical quantity is the physical quantity acquired throughout the entire second specified period following the first maintenance. In other words, the first post-maintenance physical quantity is the physical quantity required to be acquired throughout the entire second specified period for detecting anomalies in the wind power generation unit 45. The second specified period is the same as the first specified period described above, for example, set as "one month". Alternatively, the first specified period may differ from the second specified period. The first post-maintenance physical quantity is, for example, the vibration value detected by the vibration sensor Sn. Figure 2 In this context, the period from time T4 to time T6 is recorded as the second specified period. The physical quantity after the second maintenance is the physical quantity acquired during the entire second specified period (time T4 to time T6).

[0041] The second post-maintenance physical quantity is a physical quantity whose instantaneous value was obtained after the first maintenance. In other words, the second post-maintenance physical quantity is a physical quantity that can be used to detect anomalies in the wind power generation unit 45 through instantaneous acquisition. The second post-maintenance physical quantity is, for example, the voltage value detected by the voltage sensor SVn. Figure 2 In the diagram, time T5 is recorded as the time when the physical quantity is acquired after the second maintenance. At time T5, the physical quantity (voltage value) after the second maintenance, which is an outlier, is detected.

[0042] [Functional block diagram of monitoring device 100] Figure 3 This is a functional block diagram of the monitoring device 100. The monitoring device 100 includes 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 are connected to... Figure 1 Corresponding to the communication interface 106. The processing unit 114 and... Figure 1 The arithmetic unit 102 corresponds to the memory 104. The storage unit 118 corresponds to the memory 104 and can utilize at least a portion of the storage area of ​​the memory 104.

[0043] The receiving unit 112 acquires abnormal information and physical quantities from the control device 40. Additionally, the receiving unit 112 acquires start and end information from the operator terminal 60. The abnormal information and physical quantities acquired by the receiving unit 112 are output to the processing unit 114.

[0044] When the processing unit 114 receives a generation instruction from a designated terminal, it generates a report, which will be described later. Here, the generation instruction is a signal that causes the processing unit 114 to generate a report. The designated terminal is, for example, the operator terminal 60. The operator B who performed the first maintenance inputs the designated operation into the operator terminal 60, thereby the operator terminal 60 sends the generation instruction to the monitoring device 100. Alternatively, for example, the operator terminal 60 may also send the aforementioned end information as a generation instruction to the monitoring device 100. The generation instruction includes the wind power generation device ID of the wind power generation device that underwent the first maintenance, information indicating the abnormal part that underwent the first maintenance (in this embodiment, the sensor ID), and the end date of the first maintenance (the date on which the end information was sent), etc.

[0045] In addition, the processing unit 114 stores the physical quantities detected by all sensors S before maintenance (first physical quantity before maintenance 121, second physical quantity before maintenance 122) and after maintenance (first physical quantity after maintenance 131, second physical quantity after maintenance 132) for each wind power generation device ID and sensor ID.

[0046] Then, upon receiving the generation instruction, the processing unit 114 determines the wind power generation device ID, sensor ID, and first maintenance end date contained in the generation instruction. Then, in the wind power generation device 20 represented by the wind power generation device ID, the processing unit 114 retrieves from the memory 118 the physical quantities detected before and after maintenance by the sensor (vibration sensor Sn or voltage sensor SVn) represented by the sensor ID.

[0047] For example, if the sensor ID included in the generation instruction is the ID of vibration sensor Sn, the processing unit 114 retrieves the physical quantity corresponding to the vibration sensor Sn from the storage unit 118. That is, the processing unit 114 retrieves the physical quantity 121 corresponding to the vibration sensor Sn during a first specified period and the physical quantity 131 corresponding to the vibration sensor Sn after the first maintenance during a second specified period from the storage unit 118. The storage and retrieval of the physical quantity 121 corresponding to the first specified period is achieved by the monitoring device 100 continuously acquiring physical quantities from sensor S while discarding physical quantities from a period prior to the current time (i.e., one month ago). Furthermore, the storage and retrieval of the physical quantity 131 corresponding to the first maintenance during the second specified period is achieved through methods described later. Figure 10 This is achieved through the cyclic processing of steps S6 and S8.

[0048] Then, the processing unit 114 generates a first report (described later) based on the physical quantity 121 before the first maintenance and the physical quantity 131 after the first maintenance. Typically, the processing unit 114 compares the physical quantity 121 before the first maintenance with the physical quantity 131 after the first maintenance and generates the first report based on the comparison result. The first report corresponds to the "first physical quantity information" of this disclosure. The sending unit 116 sends the first report generated by the processing unit 114 to the user terminal 50 corresponding to the wind power generation device ID (see below). Figure 8 ).

[0049] Furthermore, if the sensor ID included in the generation instruction is the ID of a voltage sensor SVn, the processing unit 114 retrieves the physical quantity corresponding to that voltage sensor SVn (i.e., the physical quantity 121 before second maintenance and the physical quantity 132 after second maintenance) from the storage unit 118. Then, the processing unit 114 generates a second report (described later) based on the physical quantity 122 before second maintenance and the physical quantity 132 after second maintenance. Typically, the processing unit 114 compares the physical quantity 121 before second maintenance with the physical quantity 132 after second maintenance and generates a second report based on the comparison result. The second report corresponds to the "second physical quantity information" of this disclosure. The sending unit 116 sends the second report generated by the processing unit 114 to the user terminal 50.

[0050] Furthermore, if the processing unit 114 determines that the abnormal part has not been improved through the first maintenance, it sends maintenance information for entrusting further maintenance (second maintenance) to the maintenance terminal 70.

[0051] [Report] Next, the reports (first report and second report) generated by the processing unit 114 will be explained. Figure 4 This is an example of a 301A report. Furthermore, in Figure 4 and the following Figure 5 The present invention describes a situation where an abnormality occurs in the bearing section of the wind power generation unit 20 and a first maintenance is performed on the abnormality. The first report 301A is an example of a report generated when the bearing section (abnormal part) after the first maintenance is repaired.

[0052] exist Figure 4 In the example, the first report 301A includes first evolution information 201, second evolution information 202, and result information 203. In the first evolution information 201 and the second evolution information 202, the horizontal axis represents time, and the vertical axis represents the vibration value. Figure 4 The upper limit vibration threshold ThVH of the vibration value is shown in the figure. In this embodiment, if the vibration value is less than the upper limit vibration threshold ThVH, the control device 40 determines that the part corresponding to the vibration value is a normal part. On the other hand, if the vibration value is greater than or equal to the upper limit vibration threshold ThVH, the control device 40 determines that the part corresponding to the vibration value is an abnormal part.

[0053] The first evolution information 201 is information representing the evolution of the physical quantity before the first maintenance during the entire first specified period. Specifically, the first evolution information 201 is an image obtained by visualizing the physical quantity 121 before the first maintenance.

[0054] The second evolution information 202 is information representing the evolution of the physical quantity after the first maintenance throughout the entire second specified period. Specifically, the second evolution information 202 is an image obtained by visualizing the physical quantity 131 after the first maintenance.

[0055] exist Figure 4In the example, if the processing unit 114 compares the physical quantity 121 before the first maintenance (first evolution information 201) with the physical quantity 131 after the first maintenance (second evolution information 202), it can determine that before the first maintenance, the vibration value was greater than or equal to the upper limit vibration threshold ThVH, while after the first maintenance, the vibration value was less than the upper limit vibration threshold ThVH. Therefore, the processing unit 114 determines that the physical quantity 131 after the first maintenance has been improved, and as a result (effect) of the first maintenance, it determines that the bearing part (abnormal part) after the first maintenance has been repaired. The processing unit 114 generates a first report 301A, which includes result information 203 indicating this effect. Figure 4 In the example, the result information 203 is a text image such as "The bearing was repaired through maintenance". Furthermore, the so-called improvement in the physical quantity 131 after the first maintenance refers, for example, to a situation where the average value of the physical quantity 131 after the first maintenance during a first specified period is lower than the average value of the physical quantity 121 before the first maintenance during a second specified period.

[0056] Figure 5 This is an example of a first report 301B. First report 301B is an example of a report generated when the bearing section (abnormal part) has undergone initial maintenance but has not been repaired.

[0057] exist Figure 5 In the example, the first report includes first evolution information 201, second evolution information 202, result information 204, maintenance type information 205, arrangement information 206, and estimated amount information 207.

[0058] exist Figure 5 In the example, if the processing unit 114 compares the physical quantity 121 before the first maintenance (first evolution information 201) with the physical quantity 131 after the first maintenance (second evolution information 202), and finds that the vibration value was greater than or equal to the upper limit vibration threshold ThVH before the first maintenance, and also greater than or equal to the upper limit vibration threshold ThVH after the first maintenance, the processing unit 114 determines that the physical quantity 131 after the first maintenance has not been improved, and as a result of the first maintenance, determines that the bearing part (abnormal part) after the first maintenance has not been repaired.

[0059] Furthermore, the processing unit 114 determines the type of maintenance required for the continued repair of the abnormal parts. Then, the processing unit 114 generates maintenance type information 205. This maintenance type indicates the type of the aforementioned second maintenance. Further, the processing unit 114 determines the estimated cost of this maintenance type. Then, the processing unit 114 generates estimated cost information 207. (The rest of the text is incomplete and requires further context.) Figure 9 Explain the determination of the types of maintenance and the estimated cost.

[0060] In addition, the processing unit 114 sends maintenance information to the maintenance terminal 70, thereby automatically scheduling the second maintenance. Then, the processing unit 114 generates scheduling information 206.

[0061] Processing unit 114 generates a first report 301B, which includes result information 204, maintenance type information 205, arrangement information 206, and estimated amount information 207. Figure 5 In the example, result information 204 is a text image like "Although it was maintained, the bearing part has not been repaired." Maintenance type information 205 is a text image like "Detailed diagnosis is recommended." Arrangement information 206 is a text image like "Detailed diagnosis has been arranged." Estimated cost information 207 is a text image like "The estimated cost of the detailed diagnosis is C1 yen."

[0062] Figure 6 This is an example of Report 302A. Furthermore, in Figure 6 and the following Figure 7 The text describes a situation where a vibration sensor Sn of the wind power generation unit 20 malfunctions and a first maintenance is performed to address the malfunction. The second report 302A is an example of a report generated when the vibration sensor Sn (malfunctioning part) is repaired through the first maintenance.

[0063] exist Figure 6 In the example, the second report 302A includes first instantaneous value information 211, second instantaneous value information 212, and result information 213. In this embodiment, if the voltage value is greater than or equal to the lower voltage threshold ThEL and less than the upper voltage threshold ThEH, the control device 40 determines that the vibration sensor supplied with that voltage value is a normal part. On the other hand, if the voltage value is less than the lower voltage threshold ThEL or greater than or equal to the upper voltage threshold ThEH, the control device 40 determines that the vibration sensor supplied with that voltage value is an abnormal part.

[0064] The first instantaneous value information 211 represents the instantaneous value of the physical quantity 122 before the second maintenance. Figure 2 In the example, the voltage value V1 is shown as the instantaneous value of physical quantity 122 before the second maintenance. Furthermore, a voltage value V1 greater than or equal to the upper voltage threshold ThEH is considered an abnormal value.

[0065] The second instantaneous value information 212 represents the instantaneous value of the physical quantity 132 after the second maintenance. Figure 2In the example, the voltage value V2 is shown as the instantaneous value of physical quantity 132 after the second maintenance. That is, the voltage value V2 is the supply voltage value provided to the vibration sensor (the vibration sensor that malfunctioned) after the first maintenance. Furthermore, the voltage value V2 is considered normal if it is greater than or equal to the lower voltage threshold ThEL and less than the upper voltage threshold ThEH.

[0066] exist Figure 6 In the example, if the processing unit 114 compares the physical quantity 122 before the second maintenance (first instantaneous value information 211) with the physical quantity 132 after the second maintenance (second instantaneous value information 212), it can determine that before the first maintenance, the voltage value was greater than or equal to the upper voltage threshold ThEH, while after the first maintenance, the voltage value was greater than or equal to the lower voltage threshold ThEL and less than the upper voltage threshold ThEH. Therefore, the processing unit 114 determines that the vibration sensor (abnormal part) after the first maintenance has been repaired, as a result (effect) of the first maintenance. The processing unit 114 generates a second report 302A, which includes result information 213 indicating this effect. Figure 6 In the example, result information 213 is a text image like "Vibration sensor repaired through maintenance".

[0067] Figure 7 This is an example of a second report 302B. Second report 302B is an example of a report generated when the vibration sensor (abnormal location) was not repaired despite initial maintenance.

[0068] exist Figure 7 In the example, 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 estimated amount information 217.

[0069] exist Figure 7 In the example, if the processing unit 114 compares the physical quantity 121 before the first maintenance (first instantaneous value information 211) with the physical quantity 131 after the first maintenance (first evolution information 201), and finds that the voltage value was greater than or equal to the upper limit voltage threshold ThEH before the first maintenance and also greater than or equal to the upper limit voltage threshold ThEH after the first maintenance, the processing unit 114 determines that the vibration sensor (abnormal part) has not been modified, as a result of the first maintenance in which the voltage value has not been improved.

[0070] Furthermore, the processing unit 114 determines the type of maintenance required for the continued repair of the abnormal parts. Then, the processing unit 114 generates maintenance type information 215. This maintenance type indicates the type of the aforementioned second maintenance. Further, the processing unit 114 determines the estimated cost of this maintenance type. Then, the processing unit 114 generates estimated cost information 217. (The rest of the text is incomplete and requires further context.) Figure 9 Explain the determination of the types of maintenance and the estimated cost.

[0071] Additionally, the processing unit 114 sends maintenance information to the maintenance terminal 70, thereby scheduling the second maintenance. Then, the processing unit 114 generates scheduling information 216.

[0072] Processing unit 114 generates a second report 302B, which includes result information 214, maintenance type information 215, arrangement information 216, and estimated amount information 217. Figure 7 In the example, result information 214 is a text image like "Although it was maintained, the vibration sensor has not been repaired." Maintenance type information 215 is a text image like "Replacement of the vibration sensor is recommended." Arrangement information 216 is a text image like "Replacement of the vibration sensor has been arranged." Estimated cost information 217 is a text image like "The estimated cost of replacing the vibration sensor is C3 yen."

[0073] Furthermore, the first report shows the evolution of the physical quantity, thus it is a detailed report. The second report shows the instantaneous values ​​of the physical quantity, thus it is a simplified report.

[0074] [database] Next, the first DB (Data Base) 141 and the second DB 142 will be described. Figure 8 This is a diagram representing an example of the first DB. In the first DB141, there are corresponding wind power generation device IDs and user terminal IDs. For example, the wind power generation device ID: W1 corresponds to the user terminal ID: U1.

[0075] The processing unit 114 refers to the first database to determine the user terminal ID corresponding to the wind power generation device ID included in the generation instruction. Then, the processing unit 114 sends the generated report to the user terminal 50 with the determined user terminal ID.

[0076] Figure 9 This is a diagram illustrating an example of the second DB142. In the second DB142, there are corresponding maintenance IDs, statuses, maintenance details, and estimated costs. Processing unit 114 refers to... Figure 9 The second database is used to generate the report.

[0077] "Maintenance ID" is an ID corresponding to the type of maintenance. "Status" is defined based on the physical quantities before and after maintenance. "Maintenance Content" indicates the content of the second maintenance. "Estimated Amount" is the estimated cost of the second maintenance.

[0078] For example, if the vibration value does not improve before or after the first maintenance, the processing unit 114 decides to recommend a second maintenance for maintenance ID: A1. This situation refers to, for example, through... Figure 5 The status is represented by the first evolution information 201 and the second evolution information 202 shown. Maintenance ID: A1. The second maintenance is the first precision diagnosis of the object part (bearing part in the above), with an estimated cost of C1 yen (see also...). Figure 5 ).

[0079] Furthermore, compared to before the first maintenance, the vibration value improved (decreased) after the first maintenance, but the vibration value was not within the normal range. In this case, the processing unit 114 decided to recommend a second maintenance (Maintenance ID: A2). Although not specifically illustrated, this situation refers to a case where the vibration value after the first maintenance decreased (improved) compared to the vibration value before the first maintenance, but the vibration value after the first maintenance was greater than or equal to the upper limit vibration threshold ThVH. The second maintenance (Maintenance ID: A2) is a second precision diagnosis of the target part (bearing part in the above), with an estimated cost of C2 yen.

[0080] If the supply voltage value does not improve before or after the first maintenance, processing unit 114 decides to recommend a second maintenance (maintenance ID: A3). This situation refers to, for example, through... Figure 7 The status is represented by the first instantaneous value information 211 and the second instantaneous value information 212 shown. Maintenance ID: A3's second maintenance is the first precision diagnostic of the object sensor (vibration sensor in the above example), with an estimated cost of C3 yen (see also...). Figure 5 ).

[0081] Furthermore, if the supply voltage value improves before and after the first maintenance (the supply voltage value decreases when it is greater than or equal to the upper limit voltage threshold ThEH, and increases when it is less than the lower limit voltage threshold ThEL), but the supply voltage value is not within the normal range, then the processing unit 114 decides to recommend the second maintenance (Maintenance ID: A4). The second maintenance (Maintenance ID: A4) is a precise diagnostic of the object sensor (vibration sensor in the above description), with an estimated cost of C4 yen.

[0082] If significant noise is detected in the waveform of the supplied voltage value before or after the first maintenance, the processing unit 114 decides to recommend a second maintenance (Maintenance ID: A5). This situation is, for example, when the aforementioned significant noise is caused by interference (noise, etc.) based on the operation of the wind power generation unit 20. The second maintenance (Maintenance ID: A5) is a complete confirmation of the wind power generation unit 45, with an estimated cost of C5 yen.

[0083] [flow chart] Figure 10 This is a flowchart illustrating the main processes of the monitoring device 100. In step S2, the monitoring device 100 determines whether a generation command has been received. The monitoring device 100 remains in standby mode until a generation command is received (in step S2, it is "No"). If the monitoring device 100 receives a generation command (in step S2, it is "Yes"), the process proceeds to step S4.

[0084] In step S4, the monitoring device 100 analyzes the generation command and determines, based on the sensor ID, whether to generate a first report or a second report. If it is determined that a first report should be generated ("Yes" in step S4), the process proceeds to step S6; if it is determined that a second report should be generated ("No" in step S4), the process proceeds to step S14.

[0085] In step S6, the monitoring device 100 determines whether a second predetermined period has accumulated since the first maintenance (refer to...). Figure 2 The vibration value of the monitoring device 100 during the period when no second specified period (refer to) has accumulated. Figure 2 If the vibration value is not found (No in step S6), the monitoring device 100 continues to acquire the vibration value in step S8. Then, the monitoring device 100 accumulates vibration values ​​for a second predetermined period (refer to...). Figure 2 If the vibration value is "yes" in step S6, the process proceeds to step S10.

[0086] In step S10, the monitoring device 100 acquires the vibration value before the first maintenance (i.e., physical quantity 121 before the first maintenance) and the vibration value after the first maintenance (i.e., physical quantity 131 after the first maintenance). Then, the monitoring device 100 executes the first determination process described later in step S12. If the first determination process ends in the monitoring device 100, the process proceeds to step S18.

[0087] Additionally, 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 the second determination process described later in step S16. If the second determination process ends in the monitoring device 100, the process proceeds to step S18.

[0088] Figure 11 This is a flowchart detailing 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 to determine the recommended maintenance ID: A1 for the second maintenance.

[0089] If the vibration value improves (Yes in step S122), in step S126, the monitoring device 100 determines whether the vibration value is within the normal range. If the vibration value is within the normal range (Yes in step S126), in step S130, the monitoring device 100 determines that no second maintenance is required. Conversely, if the vibration value is not within the normal range (No in step S126), in step S128, the monitoring device 100 refers to the second DB to determine the recommended maintenance ID: A2 for the second maintenance.

[0090] Figure 12 This is a flowchart detailing the second determination process in step S16. The monitoring device 100 determines whether the supply voltage value has been improved. If the supply voltage value has not been improved ("No" in step S142), in step S144, the monitoring device 100 refers to the second DB to determine the recommended maintenance ID: A3 for the second maintenance.

[0091] If the supply voltage value improves (Yes in step S142), in step S146, the 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, the monitoring device 100 determines whether the waveform of the supply voltage value contains noise.

[0092] If the waveform of the supplied voltage value does not contain noise ("No" in step S150), in step S154, the monitoring device 100 determines that the second maintenance is not required. Furthermore, if the supplied voltage value is not within the normal range ("No" in step S146), in step S148, the monitoring device 100 refers to the second DB to determine the recommended maintenance ID: A4 for the second maintenance. Additionally, if the waveform of the supplied voltage value contains noise ("Yes" in step S150), in step S152, the monitoring device 100 refers to the second DB to determine the recommended maintenance ID: A5 for the second maintenance.

[0093] return Figure 10Let's explain. In step S18, based on the result of the determination process in step S12 or S16, it is determined whether maintenance (second maintenance) is recommended. If the monitoring device 100 recommends maintenance ("Yes" in step S18), the monitoring device 100 determines the estimated amount in step S20 with reference to the second DB, and in step S22, the second maintenance is arranged by sending maintenance information to the maintenance terminal 70. The maintenance information includes at least one of whether the physical quantity has improved and whether the physical quantity is within the normal range.

[0094] If no maintenance is recommended ("No" in step S18), the monitoring device 100 generates a report in step S24. The report generated when "No" is determined in step S18 is, for example,... Figure 4 The first report or Figure 6 The second report. Additionally, the report generated when the condition in step S18 is "yes" is, for example,... Figure 5 The first report or Figure 7 The second report.

[0095] Then, in step S26, the monitoring device 100 sends the generated report to the user terminal 50. As described above, the first report is generated after the loop of steps S6 and S8 ends. On the other hand, since this loop is not executed, the second report is generated immediately after the monitoring device 100 receives the generation instruction.

[0096] [Summarize] (1) In this embodiment, an anomaly is detected in the wind power generation unit 45, and operator B performs the first maintenance to repair the anomaly. Sometimes, management personnel C or others may want to identify the effect of the first maintenance. Therefore, after the first maintenance is completed, the monitoring device 100 monitors the physical quantities before maintenance ( Figure 4 Physical quantity 121 before first maintenance Figure 5 The physical quantity before maintenance (122) and the physical quantity after maintenance ( Figure 4 Physical quantity 131 after the first maintenance Figure 5 The second maintenance physical quantity 132) is used to generate a report ( Figures 4-7 The first report 301 and the second report 302 shown are displayed, and the report is output. Therefore, the manager C of the monitoring device 100 can identify the reports based on the physical quantities detected before the maintenance of the power generation device and the physical quantities detected after the maintenance of the power generation device.

[0097] (2) The monitoring device 100 generates a first report 301 based on the physical quantity 121 before the first maintenance and the physical quantity 131 after the first maintenance. Figure 4 and Figure 5Furthermore, the monitoring device 100 generates a second report based on the physical quantity 122 before the second maintenance and the physical quantity 132 after the second maintenance. Therefore, the monitoring device 100 can generate reports corresponding to the types of physical quantities before and after maintenance.

[0098] (3) such as Figure 4 and Figure 5 As shown, the monitoring device 100 generates a first report 301 that includes first evolution information 201 and second evolution information. Therefore, the manager C and others can identify the evolution of the physical quantity before the first maintenance and the evolution of the physical quantity after the first maintenance.

[0099] (4) such as Figure 6 and Figure 7 As shown, the monitoring device 100 generates a second report 302 that includes first instantaneous value information 211 and second instantaneous value information 212. Therefore, the manager C and others can identify the instantaneous values ​​of the physical quantity before the second maintenance and the instantaneous values ​​of the physical quantity after the second maintenance.

[0100] (5) such as Figure 10 As shown in steps S2 and S4, when the generation instruction includes information indicating the generation of a first report (the ID of the vibration sensor), the monitoring device 100 generates a first report. Furthermore, when the generation instruction includes information indicating the generation of a second report (the ID of the voltage sensor), the monitoring device 100 generates a second report. Therefore, the monitoring device 100 can automatically determine which report, the first or the second, to generate. This, for example, reduces the burden on managers such as C from deciding whether to generate the first report (detailed version) or the second report (simplified version).

[0101] (6) The physical quantities before and after the first maintenance are physical quantities (vibration values) detected by the vibration sensor Sn. Therefore, the management personnel C and others can identify the physical quantities (vibration values) before and after the first maintenance of the specified parts of the wind power generation unit 45.

[0102] (7) The physical quantities before the second maintenance and the physical quantities after the second maintenance are the supply voltage values ​​provided to the vibration sensor Sn. Therefore, the manager C and others can identify the supply values ​​provided to the vibration sensor Sn before the first maintenance and the supply values ​​after the first maintenance.

[0103] (8) In addition, the report ( Figure 4 The first report (301A, etc.) contains result information 203 indicating the result of the first maintenance. Therefore, managers and others can identify the result of the first maintenance.

[0104] (9) Report ( Figure 5The first report (301B, etc.) contains estimated cost information 207 for the second maintenance. Therefore, managers can identify the estimated cost of the second maintenance to be performed.

[0105] (10) The monitoring device 100 outputs maintenance information indicating the status of the second maintenance to the maintenance terminal 70 of the operator performing the second maintenance. Therefore, the monitoring device 100 can automatically delegate the second maintenance to the operator performing the second maintenance.

[0106] (11) In addition, maintenance information indicating the status of the second maintenance is output to the maintenance terminal 70 of the operator performing the second maintenance. Therefore, the monitoring device 100 can automatically delegate the second maintenance to the operator performing the second maintenance. Thus, for example, the monitoring device 100 can reduce the burden of delegating the second maintenance to user A.

[0107] (12) The maintenance information includes at least one of the following: information indicating whether the physical quantity after maintenance is an improvement over the physical quantity before maintenance, and information indicating whether the physical quantity after maintenance is within the normal range. Therefore, the operator performing the second maintenance can identify at least one of the following before the second maintenance: whether the physical quantity after maintenance is an improvement over the physical quantity before maintenance, and whether the physical quantity after maintenance is within the normal range. Therefore, from the viewpoint of preparation for the second maintenance, the burden on the operator can be reduced.

[0108] (13) The monitoring device 100 sends a report to the user terminal 50 corresponding to the wind power generation unit 45 that has undergone the first maintenance. Therefore, the user A (owner) of the power generation unit can recognize the report.

[0109] <Implementation Method 2> For example, there may be a situation where M (M is an integer greater than or equal to 1) wind power generation units 45 are associated. More specifically, the individual wind power generation devices of the M wind power generation units are interconnected. Here, "associated" means, for example, that the M wind power generation devices have the same structure and constitute the same wind farm WF. Therefore, the external environments (temperature, humidity, wind volume, etc.) of the M power generation units are the same. Furthermore, as a variation, "associated" can also be a concept that includes at least one of the following: the M wind power generation devices started operating at the same time, or the M wind power generation devices are of the same type.

[0110] Furthermore, among the M wind power generation devices, there is "one wind power generation unit 45 (first wind power generation unit)" and "other wind power generation units 45 (second wind power generation unit)". The "one wind power generation unit 45" and the "other wind power generation units 45" are interconnected.

[0111] In this embodiment, it is assumed that an anomaly is detected in one wind power generation unit 45. Here, "one wind power generation unit 45" is associated with "other wind power generation units 45". Therefore, other wind power generation units 45 also tend to experience the same anomaly as the one wind power generation unit 45. Furthermore, regarding the one wind power generation unit 45 where an anomaly was detected, even if the anomaly has been resolved, there is a tendency for the same anomaly to recur in that wind power generation unit 45.

[0112] Therefore, given this tendency, the monitoring device 100 of this embodiment performs change control of the monitoring parameters 530 based on anomaly information related to anomalies in one wind power generation unit 45. The monitoring parameters 530 are parameters used for monitoring the wind power generation unit 45. The change control is a control used to improve the detection accuracy of anomalies or anomaly signs in M ​​wind power generation devices, including "one wind power generation unit 45" and "other wind power generation units 45". Anomaly information is information indicating an abnormal location or a location with anomaly signs in the wind power generation unit 45. Alternatively, the anomaly information may also be information used by the monitoring device 100 to determine the abnormal location or location with anomaly signs in the wind power generation unit 45 (e.g., the aforementioned vibration value or supply voltage value).

[0113] Regarding one wind power generation unit 45 and other wind power generation units 45, the following structure is provided. On one wind power generation unit 45, at least one first sensor (vibration sensor Sn and voltage sensor SVn) is disposed to detect physical quantities related to the operation of that wind power generation unit 45. Additionally, on each of the other wind power generation units 45, at least one second sensor (vibration sensor Sn and voltage sensor SVn) is disposed to detect physical quantities related to the operation of that other wind power generation unit 45. The types of physical quantities detected by the at least one first sensor are the same as those detected by the at least one second sensor. The placement of the at least one first sensor in one wind power generation unit 45 is the same as the placement of the at least one second sensor in each of the other wind power generation units 45. The monitoring device 100 detects abnormalities or signs of abnormalities in other power generation units based on the physical quantities detected by the at least one second sensor and the monitoring parameters 530 modified by the change control.

[0114] In Implementation 2, an example of using AI (Artificial Intelligence) to perform change control of monitoring parameter 530 will be described. Monitoring parameter 530 includes, for example, thresholds related to the operation of wind power generation unit 45. Thresholds include, for example, the aforementioned upper limit vibration threshold ThVH, upper limit voltage threshold ThEH, and lower limit voltage threshold ThEL.

[0115] Figure 13 This is a functional block diagram of the monitoring device 100 involved in this embodiment. For example... Figure 13 As shown, the monitoring device 100, in addition to the acquisition unit 522 and the modification unit 526, also has an inference unit 1102. Furthermore, the storage unit 528 stores the learning completion model 123 in addition to the monitoring parameters 530. The learning completion model 123 includes a neural network 1211 and parameters 1212. The parameters 1212 consist of weight coefficients and decision values. Moreover, the learning completion model 123 learns through teacher-assisted learning or teacherless learning. In teacher-assisted learning, for example, a combination of anomaly information and monitoring parameters, or a combination of maintenance information and monitoring parameters (described later), is used as teacher data.

[0116] The acquisition unit 522 acquires abnormal information and maintenance results from designated terminals. Abnormal information is acquired, for example, from control device 40. Additionally, maintenance results are acquired from operator terminal 60. Control device 40 and operator terminal 60 correspond to the "designated terminals" of this disclosure.

[0117] The estimation unit 1102 estimates the monitoring parameter 530 based on the input data received from the acquisition unit 522 and the learning completed model 123 including the neural network 1211. The change control is the control that changes the monitoring parameter 530 stored in the storage unit 528 to the estimated monitoring parameter 530.

[0118] The estimation unit 1102, as shown below, estimates the monitoring parameter 530 to improve the detection accuracy of abnormalities or abnormal symptoms of "other wind power generation units 45" and "one wind power generation unit 45 whose abnormality has been eliminated." This will be explained in detail below. The monitoring device 100 starts monitoring one wind power generation unit 45 when its power generation during a first predetermined period (e.g., one week) exceeds a first threshold. Furthermore, the monitoring device 100 starts monitoring other wind power generation units 45 when their power generation during the same first predetermined period exceeds a second threshold. The monitoring parameter 530 includes the second threshold. The estimation unit 1102 then estimates this second threshold (monitoring parameter 530) to make it a value less than the first threshold. With this structure, the start time for monitoring other wind power generation units 45 can be advanced, thus allowing for earlier detection of abnormalities in other wind power generation units 45. Therefore, the detection accuracy of abnormalities in other wind power generation units 45 can be improved.

[0119] Furthermore, the monitoring device 100 monitors one wind power generation unit 45 every first period. The monitoring device 100 monitors the other wind power generation units 45 every second period. The monitoring parameter 530 includes the second period. Then, the estimation unit 1102 estimates this second period (monitoring parameter 530) so that the second period is shorter than the first period. With this structure, the frequency of monitoring the other wind power generation units 45 can be increased, thus enabling the early detection of anomalies in the other wind power generation units 45.

[0120] Furthermore, the monitoring device 100 uses the intensity of each first frequency band in the first spectrum of the wind power generation unit 45, generated based on a physical quantity (e.g., vibration value) detected by at least one first sensor, to monitor the wind power generation unit 45. Additionally, the monitoring device 100 uses the intensity of each second frequency band in the second spectrum of the other wind power generation units 45, generated based on a physical quantity detected by at least one second sensor, to monitor the other wind power generation units 45. The anomaly information includes the abnormal frequency band in the first spectrum that is the main cause of the abnormal location or the location showing signs of an anomaly. The monitoring parameter 530 includes the second frequency band. Then, the estimation unit 1102 estimates this second frequency band (monitoring parameter 530) so that the second frequency band containing the abnormal frequency band becomes a narrower band than the first frequency band. According to the above structure, the resolution of the intensity in the spectrum used for monitoring the other wind power generation units 45 can be improved, thus enabling the early detection of anomalies in other power generation devices. Therefore, anomalies in other wind power generation units 45 can be detected in advance.

[0121] Furthermore, the monitoring device 100 monitors one wind power generation unit 45 based on physical quantities detected by at least one first sensor and a third threshold (upper limit vibration threshold ThVH, upper limit voltage threshold ThEH, and lower limit voltage threshold ThEL). The monitoring device 100 monitors other wind power generation units 45 based on physical quantities detected by at least one second sensor and a fourth threshold (upper limit vibration threshold ThVH, upper limit voltage threshold ThEH, and lower limit voltage threshold ThEL). Any range larger than the third threshold and any range smaller than the third threshold constitutes the undetected range where no anomaly is detected in one wind power generation unit 45. The monitoring parameter 530 includes the fourth threshold. Then, the estimation unit 1102 estimates this fourth threshold (monitoring parameter 530) such that the fourth threshold corresponding to the abnormal location or location showing signs of anomaly falls within the undetected range.

[0122] Based on the above structure, the threshold (fourth threshold) used for monitoring other wind power generation units 45 is changed to the undetected range of the third threshold, thus enabling early detection of anomalies in other wind power generation units 45.

[0123] Furthermore, in the above example, the description mainly focuses on the control of the estimation unit 1102 in estimating the monitoring parameters 530 used for monitoring other wind power generation units 45. However, the estimation unit 1102 can also estimate the monitoring parameters 530 used for monitoring one wind power generation unit 45. With such a structure, the detection accuracy of possible recurrence of abnormalities or abnormal signs in one wind power generation unit 45 can be improved.

[0124] Next, the maintenance results will be explained. The maintenance results are the information entered into the operator terminal 60 by operator C. Operator C is the person who performed maintenance on the wind power generation unit (here, one wind power generation unit 45) that experienced an anomaly. The maintenance includes inspection and repair of the wind power generation unit. The operator terminal 60 is the terminal (e.g., a mobile terminal) possessed by operator C.

[0125] Figure 14 This is an example of the screen displayed on the operator terminal 60. Figure 14 (A) represents an example of input screen 401. Figure 14 (B) represents an example of a completed input screen 402. For example, operator C or others perform a prescribed operation on operator terminal 60, thereby causing operator terminal 60 to display input screen 401. Furthermore, in this embodiment, the display control of input screen 401 is performed by the monitoring device 100. However, as a variation, operator terminal 60 may also perform the display control of input screen 401 through its own control.

[0126] Input screen 401 displays an image with no abnormalities 411, an image with abnormalities 412, an input area 414, and a send button 415. The images with no abnormalities 411, an image with abnormalities 412, and input area 414 are used by operator C to input maintenance results. Figure 14 In the example, operator C can use radio buttons to specify one of the images 411 with no abnormalities and 412 with abnormalities.

[0127] Additionally, maintenance personnel C is dispatched to maintain a wind turbine unit 45 to inspect the parts of that unit 45 that are deemed abnormal. However, sometimes when personnel C inspects the parts deemed abnormal, the parts are not actually abnormal. In this case, personnel C specifies a no-abnormality image 411 and presses the send button 415.

[0128] Furthermore, if operator C's inspection determines that an abnormality has occurred in a specific part of the wind power generation unit 45, operator C specifies an abnormality image 412. Then, operator C inputs emergency maintenance requests (such as replacing bearings) into the input area 414. Finally, operator C activates the send button 415.

[0129] If the send button 415 is pressed, the operator terminal 60 will send the wind power generation device ID of the object being maintained and the maintenance results entered into the input screen 401 to the monitoring device 100. Simultaneously, the operator terminal 60 will display... Figure 14 (B) The transmission completion screen. The operator terminal 60 can recognize that the maintenance result has been sent to the monitoring device 100 by displaying this transmission completion screen.

[0130] In addition, monitoring device 100, such as Figure 14 As described in the upper right corner, the operator terminal 60 maintains the display of the input screen 401 until a maintenance result is entered on the input screen 401. In other words, the operator terminal 60 only displays the transmission completion screen 402 if a maintenance result has been entered on the input screen 401.

[0131] Operator C inspects a part of a wind turbine unit 45 that is deemed abnormal, but sometimes no abnormality is found in that part. In this case, even if other wind turbine units 45 are identified as abnormal, the maintenance (inspection) of the abnormality is likely to result in the conclusion that no abnormality actually occurred, provided that the monitoring parameter 530 has not changed.

[0132] Therefore, the estimation unit 1102 estimates the monitoring parameter 530 that reduces the accuracy of anomaly detection when the maintenance result is that no anomaly occurred in one wind power unit 45 (in the case of specifying the no-anomaly image 411) or when the maintenance content is small-scale maintenance. Then, the modification unit 526 changes the monitoring parameter 530 to the estimated monitoring parameter 530 (the monitoring parameter 530 that reduces the accuracy of anomaly detection). The process of changing the monitoring parameter 530 to the estimated monitoring parameter 530 (the process of estimating the monitoring parameter 530 to reduce the accuracy of anomaly detection) includes, for example, processes that increase the second threshold, processes that extend the second period, processes that make the fourth threshold fall within the anomaly range, and processes that widen the second bandwidth. By using such control, the computational workload of anomaly detection can be reduced.

[0133] Furthermore, even if an anomaly is detected during maintenance (inspection) of a specific part of a wind turbine unit 45, and that anomaly has been repaired through maintenance (repair), the likelihood of the same part of other wind turbine units 45 experiencing anomalies is relatively high. Therefore, the estimation unit 1102 estimates the monitoring parameter 530 that improves the accuracy of anomaly detection when the maintenance result is that an anomaly has occurred in one wind turbine unit 45 (in the case of an anomaly image 412 being specified) or when the maintenance is a large-scale maintenance. Then, the modification unit 526 changes the monitoring parameter 530 to the estimated monitoring parameter 530 (the monitoring parameter 530 that improves the accuracy of anomaly detection). The process of changing the monitoring parameter 530 to the estimated monitoring parameter 530 includes, for example, processes that reduce the second threshold, shorten the second period, bring the fourth threshold into the normal range, and narrow the second frequency band. Through the above control, early anomaly detection of other wind turbine units 45 can be achieved.

[0134] [Variation Example] (1) In the above embodiment, the structure of the power generation device is described as a wind power generation device. However, the power generation device may also be other power generation devices. Such other power generation devices are, for example, hydropower generation devices and solar power generation devices.

[0135] (2) In the above embodiment, the generation instruction includes information (e.g., sensor ID) indicating the abnormal part that underwent the first maintenance, as judgment information indicating whether to generate the first report or the second report. However, the judgment information can also be other information. For example, the judgment information can be information that directly indicates whether to generate the first report or the second report (report format). Alternatively, it can be information indicating the operation items such as the content of the first maintenance (replacing the bearing, changing the lubricating oil, replacing the measuring sensor, etc.).

[0136] (3) In the above embodiment, the structure of the sensor used to detect whether there is any abnormality in the wind power generation device 20 is a vibration sensor. However, this sensor can also be other sensors. Other sensors are, for example, temperature sensors or sound sensors.

[0137] (4) The structure of the above instantaneous values ​​(physical quantity before the second maintenance and physical quantity after the second maintenance) being the supply voltage values ​​provided to the vibration sensor Sn has been explained. However, the instantaneous value can be any value that represents the operating status of the wind power generation unit 45 (whether there is an abnormality, etc.), or it can be other values. For example, the instantaneous value can be the temperature of the wind power generation device 20.

[0138] [Postscript] (Appendix 1) An information processing apparatus related to a power generation device, wherein the power generation device includes sensors for detecting physical quantities related to the operation of the power generation device, the physical quantities being used to determine whether there is an abnormality in the power generation device, the information processing apparatus including: a memory for storing the physical quantities; and a computing device, the physical quantities including: a pre-maintenance physical quantity, which is detected by the sensors before a first maintenance is performed on an abnormality in the power generation device and is used to detect the abnormality; and a post-maintenance physical quantity, which is detected by the sensors that detected the pre-maintenance physical quantity after the first maintenance, the computing device generating physical quantity information based on the pre-maintenance physical quantity and the post-maintenance physical quantity, and outputting the physical quantity information.

[0139] Based on the above structure, managers of the power generation unit can identify the comparison results of physical quantities before and after maintenance.

[0140] (Appendix 2) In the information processing apparatus described in Appendix 1, the physical quantity before maintenance includes: a first physical quantity before maintenance, which is acquired during the entire first predetermined period before the first maintenance; and a second physical quantity before maintenance, which is an instantaneous value acquired before the first maintenance. The physical quantity after maintenance includes: a first physical quantity after maintenance, which is acquired during the entire second predetermined period after the first maintenance; and a second physical quantity after maintenance, which is an instantaneous value acquired after the first maintenance. The arithmetic unit generates first physical quantity information as physical quantity information based on the first physical quantity before maintenance and the first physical quantity after maintenance, and outputs the first physical quantity information. It also generates second physical quantity information as physical quantity information based on the second physical quantity before maintenance and the second physical quantity after maintenance, and outputs the second physical quantity information.

[0141] Based on the above structure, the information processing device can generate physical quantity information corresponding to the types of physical quantities before and after maintenance.

[0142] (Note 3) In the information processing apparatus described in Note 2, the first physical quantity information includes: information indicating the evolution of the physical quantity before the first maintenance during the entire first specified period; and information indicating the evolution of the physical quantity after the first maintenance during the entire second specified period.

[0143] Based on the above structure, the managers of the power generation unit can identify the evolution of physical quantities before the first maintenance and the evolution of physical quantities after the first maintenance.

[0144] (Note 4) In the information processing apparatus described in Note 2 or Note 3, the second physical quantity information includes: information representing the instantaneous value of the physical quantity before the second maintenance; and information representing the instantaneous value of the physical quantity after the second maintenance.

[0145] Based on the above structure, the managers of the power generation unit can identify the instantaneous values ​​of the physical quantities before the second maintenance and the instantaneous values ​​of the physical quantities after the second maintenance.

[0146] (Appendix 5) In any of the information processing apparatuses described in Appendix 2 to Appendix 4, when the information processing apparatus receives an instruction indicating the situation of generating physical quantity information, it generates physical quantity information; when the instruction includes information indicating the situation of generating first physical quantity information, it generates first physical quantity information; and when the instruction includes information indicating the situation of generating second physical quantity information, it generates second physical quantity information.

[0147] Based on the above structure, the information processing device can automatically determine whether to generate the first physical quantity information or the second physical quantity information.

[0148] (Note 6) In any of the information processing apparatuses described in Notes 2 to 5, the sensor includes a first sensor that detects physical quantities at a specified part of the power generation device, wherein the physical quantities before the first maintenance and the physical quantities after the first maintenance are physical quantities detected by the first sensor.

[0149] Based on the above structure, managers of the power generation unit can identify the physical quantities of the specified parts of the power generation unit before and after the first maintenance.

[0150] (Note 7) In the information processing apparatus described in Note 6, the sensor includes a second sensor that detects a supply value as a supply current or supply voltage supplied to the first sensor, wherein the physical quantity before the second maintenance and the physical quantity after the second maintenance are the supply values.

[0151] Based on the above structure, the managers of the power generation unit can identify the supply value before the first maintenance and the supply value after the first maintenance provided to the first sensor.

[0152] (Note 8) In any of the information processing apparatuses described in Notes 1 to 7, the arithmetic unit determines the result of the first maintenance based on the physical quantities before and after maintenance, wherein the physical quantity information includes information representing the result of the first maintenance.

[0153] Based on the above structure, the managers of the power generation unit can identify the results of the first maintenance.

[0154] (Note 9) In any of the information processing apparatuses described in Notes 1 to 8, the arithmetic unit determines the type of a further second maintenance after the first maintenance based on the physical quantity before maintenance and the physical quantity after maintenance, wherein the physical quantity information includes information indicating the type of the second maintenance.

[0155] Based on the above structure, managers of the power generation unit can identify the type of further second maintenance following the first maintenance.

[0156] (Note 10) In the information processing apparatus described in Note 9, the arithmetic unit determines the estimated amount of the second type of maintenance, and the physical quantity information includes information representing the estimated amount of the second maintenance of the determined type.

[0157] Based on the above structure, managers of the power generation unit can identify the estimated cost of the second maintenance to be performed.

[0158] (Note 11) In the information processing apparatus described in Note 9 or Note 10, the arithmetic unit outputs maintenance information indicating the status of performing the second maintenance to the terminal of the operator performing the determined type of second maintenance.

[0159] Based on the above structure, the second maintenance can be automatically delegated to the operator performing the second maintenance.

[0160] (Note 12) In the information processing apparatus described in Note 11, the maintenance information includes at least one of the following: information indicating whether the physical quantity after maintenance is better than the physical quantity before maintenance, and information indicating whether the physical quantity after maintenance is within the normal range.

[0161] Based on the above structure, the operator performing the second maintenance can identify at least one of whether the physical quantity after maintenance is improved compared to the physical quantity before maintenance, and whether the physical quantity after maintenance is within the normal range.

[0162] (Note 13) In any of the information processing devices described in Notes 1 to 12, the computing device sends physical quantity information to the terminal of the person in charge of the power generation device.

[0163] Based on the above structure, the personnel who maintain the power generation equipment can identify physical quantity information. (Note 14) In any of the information processing devices described in Notes 1 to 13, The memory stores the learned model obtained through machine learning. The information processing device also includes an interface that obtains maintenance results or abnormal information of the power generation device from a designated terminal. The computing device applies the anomaly information or the maintenance result to the learning completion model to perform change control on the monitoring parameters used for monitoring the power generation device.

[0164] Based on the above structure, managers and others do not need to change the monitoring parameters. They can use the learned model obtained through machine learning to change the monitoring parameters, thus enabling appropriate change control.

[0165] (Appendix 15) An information processing method includes: the steps of acquiring a first pre-maintenance physical quantity and a first post-maintenance physical quantity, wherein the first pre-maintenance physical quantity is detected before the first maintenance of a power generation device including a power generation device, and the first post-maintenance physical quantity is detected after the first maintenance of the power generation device; the steps of generating physical quantity information based on the first pre-maintenance physical quantity and the first post-maintenance physical quantity; and the steps of outputting the physical quantity information.

[0166] All embodiments disclosed herein should be considered illustrative rather than limiting. The scope of the invention should be understood not by the description of the above embodiments, but by the claims, including all variations within the same meaning and scope as the claims. Label Explanation

[0167] 10 Management System, 20 Wind Power Generation Device, 30 Collection Device, 40 Control Device, 45 Wind Power Generation Unit, 50 User Terminal, 60 Operator Terminal, 70 Maintenance Terminal, 100 Monitoring Device, 102 Computing Device, 104 Memory, 106 Communication Interface, 112 Receiving Unit, 114 Processing Unit, 116 Transmitting Unit, 118 Storage Unit, 121 Physical Quantity Before First Maintenance, 122 Physical Quantity Before Second Maintenance, 131 Physical Quantity After First Maintenance, 132 Physical Quantity After Second Maintenance, 141 First DB, 142 Second DB, 201 First Evolution Information, 202 Second Evolution Information, 203, 204, 213, 214 Result Information, 205, 215 Maintenance Type Information, 206, 216 Arrangement Information, 207, 217 Estimated Amount Information, 211 First Instantaneous Value Information, 212 Second Instantaneous Value Information.

Claims

1. An information processing device associated with a power generation device, characterized in that, The power generation device includes sensors for detecting physical quantities related to the operation of the power generation device. The physical quantity is used to determine whether the power generation device is malfunctioning. The information processing device includes: A memory that stores the physical quantity; as well as Computing device, The physical quantity includes: A pre-maintenance physical quantity, which is detected by sensors before the first maintenance of the power generation unit for an anomaly, and used to detect the anomaly; and The physical quantity after maintenance, which is detected by a sensor that detects the physical quantity before maintenance, after the first maintenance. The computing device generates physical quantity information based on the physical quantities before and after maintenance, and outputs the physical quantity information.

2. The information processing apparatus as described in claim 1, characterized in that, The physical quantities before maintenance include: The first pre-maintenance physical quantity is acquired during the entire first specified period prior to the first maintenance; and The second physical quantity before maintenance is the instantaneous value acquired before the first maintenance. The maintained physical quantities include: The first post-maintenance physical quantity is acquired during the entire second specified period following the first maintenance; and The second physical quantity after maintenance is the instantaneous value acquired after the first maintenance. The computing device generates first physical quantity information based on the first physical quantity before maintenance and the first physical quantity after maintenance, and outputs the first physical quantity information. A second physical quantity information is generated based on the physical quantity before the second maintenance and the physical quantity after the second maintenance to serve as the physical quantity information, and the second physical quantity information is output.

3. The information processing apparatus as described in claim 2, characterized in that, The first physical quantity information includes: Information representing the evolution of the first pre-maintenance physical quantity throughout the entire first specified period; and Information indicating the evolution of the first post-maintenance physical quantity throughout the entire second specified period.

4. The information processing apparatus as described in claim 2 or 3, characterized in that, The second physical quantity information includes: Information representing the instantaneous value of the physical quantity before the second maintenance; and Information indicating the instantaneous value of the physical quantity after the second maintenance.

5. The information processing apparatus as described in claim 2 or 3, characterized in that, When the information processing device receives an instruction indicating the generation of physical quantity information, it generates the physical quantity information. If the instruction includes information indicating the circumstances under which the first physical quantity information is generated, then the first physical quantity information is generated. If the instruction contains information indicating the circumstances under which the second physical quantity information is generated, the second physical quantity information is generated.

6. The information processing apparatus as described in claim 2 or 3, characterized in that, The sensor includes a first sensor that detects physical quantities at a specified location of the power generation device. The first physical quantity before maintenance and the first physical quantity after maintenance are physical quantities detected by the first sensor.

7. The information processing apparatus as described in claim 6, characterized in that, The sensor includes a second sensor that detects the supply value, which is the supply current or supply voltage supplied to the first sensor. The physical quantity before the second maintenance and the physical quantity after the second maintenance are the supply values.

8. The information processing apparatus according to any one of claims 1 to 3, characterized in that, The computing device determines the result of the first maintenance based on the physical quantities before and after maintenance. The physical quantity information includes information representing the result of the first maintenance.

9. The information processing apparatus according to any one of claims 1 to 3, characterized in that, The computing device determines the type of further second maintenance after the first maintenance based on the physical quantities before and after the maintenance. The physical quantity information includes information indicating the type of the second maintenance.

10. The information processing apparatus as described in claim 9, characterized in that, The computing device determines the estimated cost of the second type of maintenance. The physical quantity information includes information representing the estimated amount of the second maintenance for the determined type.

11. The information processing apparatus as claimed in claim 9, characterized in that, The computing device outputs maintenance information indicating the status of the second maintenance to the terminal of the operator performing the determined type of the second maintenance.

12. The information processing apparatus as claimed in claim 11, characterized in that, The maintenance information includes at least one of the following: information indicating whether the physical quantity after maintenance is better than the physical quantity before maintenance, and information indicating whether the physical quantity after maintenance is within the normal range.

13. The information processing apparatus according to any one of claims 1 to 3, characterized in that, The computing device sends the physical quantity information to the terminal of the person in charge of the power generation device.

14. The information processing apparatus according to any one of claims 1 to 3, characterized in that, The memory stores the learned model obtained through machine learning. The information processing device also includes an interface that obtains maintenance results or abnormal information of the power generation device from a designated terminal. The computing device applies the anomaly information or the maintenance result to the learning completion model to perform change control on the monitoring parameters used for monitoring the power generation device.

15. An information processing method, characterized in that, include: The steps of obtaining physical quantities before and after the first maintenance, wherein the physical quantities before the first maintenance are detected before the first maintenance of the power generation device including the power generation device, and the physical quantities after the first maintenance are detected after the first maintenance of the power generation device; The steps of generating physical quantity information based on the physical quantities before the first maintenance and the physical quantities after the first maintenance; as well as The step of outputting the physical quantity information.

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