Monitoring device, monitoring method, and computer-readable recording medium

Abstract

The present application relates to a kind of monitoring device, monitoring method and computer readable recording medium, operator terminal (10) obtains the measured data indicating the characteristics of the optical fiber connected between multiple windmills (W) and composed of power transmission line and optical fiber cable (C), based on measured data and the section information corresponding to multiple cable sections common with the state of cable (C) corresponding position, for multiple cable sections, cable (C) is monitored.

Description

Technical Field

[0001] This invention relates to a monitoring device, a monitoring method, and a computer-readable recording medium. Background Technology

[0002] A multicore cable (appropriately referred to as a "cable") is a power transmission cable that connects to offshore wind turbines (appropriately referred to as "windmills") used for offshore wind power generation (appropriately referred to as "wind power generation") and is buried on the seabed. The managers or operators of the wind power generation measure the temperature at various points on the multicore cable (e.g., every 1m) and monitor the cable's condition based on its temperature changes.

[0003] Patent Document 1: Japanese Patent Application Publication No. 2016-201989

[0004] However, the aforementioned technologies have limitations in improving cable monitoring accuracy. For example, the amount of current flowing through the cable varies depending on its location, resulting in different amounts of heat generation at different points on the cable, making accurate cable monitoring difficult. Summary of the Invention

[0005] The present invention is proposed in view of the above, and its purpose is to improve the monitoring accuracy of cables.

[0006] One embodiment of the present invention relates to a monitoring device comprising: a storage unit; and a processor connected to the storage unit, the storage unit storing segment information representing a plurality of common segments of a cable connected between a plurality of devices and consisting of transmission lines and optical fibers, the processor performing the following processes: acquiring measurement data representing the characteristics of the optical fibers of the cable; and monitoring the cable for the plurality of segments based on the measurement data and the segment information.

[0007] One embodiment of the present invention relates to a monitoring method in which a monitoring device performs the following processing: acquiring measurement data representing the characteristics of an optical fiber in a cable connected between multiple devices and consisting of transmission lines and the optical fiber; and monitoring the cable for any abnormalities in the multiple segments based on the measurement data and segment information representing the common state of the cable.

[0008] One embodiment of the present invention relates to a monitoring program recorded on a computer-readable recording medium, which causes a monitoring device to perform the following processing: acquiring measurement data representing the characteristics of an optical fiber in a cable connected between multiple devices and consisting of transmission lines and the optical fiber; and monitoring the cable for any abnormalities in the multiple segments based on the measurement data and segment information representing the common state of the cable.

[0009] The effects of the invention

[0010] According to the present invention, it has the effect of improving the monitoring accuracy of cables. Attached Figure Description

[0011] Figure 1 This is a diagram illustrating a structural example and a processing example of a cable monitoring system according to an embodiment.

[0012] Figure 2 This is a block diagram illustrating structural examples of various devices involved in the implementation of the cable monitoring system.

[0013] Figure 3 This is a diagram illustrating an example of the measurement data storage unit of the operator terminal involved in the implementation method.

[0014] Figure 4 This is a diagram illustrating an example of the segment information storage unit of the operator terminal involved in the implementation method.

[0015] Figure 5 This is a diagram illustrating an example of the calibration data storage unit of the operator terminal involved in the embodiment.

[0016] Figure 6 This is a diagram illustrating an example of a monitoring result storage unit of an operator terminal involved in an implementation method.

[0017] Figure 7 This is a diagram illustrating a specific example of the section setting process of the cable monitoring system involved in the implementation method.

[0018] Figure 8 This is a diagram illustrating a specific example 1 of the data correction processing of the cable monitoring system involved in the implementation.

[0019] Figure 9 This is a diagram illustrating a specific example 2 of the data correction processing of the cable monitoring system involved in the implementation method.

[0020] Figure 10 This is a diagram illustrating a specific example 3 of the data correction processing of the cable monitoring system involved in the implementation method.

[0021] Figure 11 This is a diagram illustrating a specific example of cable monitoring processing in a cable monitoring system according to an embodiment.

[0022] Figure 12 This is a flowchart illustrating an example of the overall process of the cable monitoring system involved in the implementation.

[0023] Figure 13 This is a flowchart illustrating an example of the setup and management process of a cable monitoring system involved in an implementation.

[0024] Figure 14This is a flowchart illustrating an example of the measurement and management process of a cable monitoring system involved in an implementation.

[0025] Figure 15 This is a flowchart illustrating an example of the calibration management process of a cable monitoring system involved in an implementation.

[0026] Figure 16 This is a flowchart illustrating an example of the monitoring and management process of a cable monitoring system involved in an implementation.

[0027] Figure 17 This is a diagram illustrating an example of the hardware structure involved in the implementation method. Detailed Implementation

[0028] Hereinafter, a monitoring device, monitoring method, and computer-readable recording medium according to one embodiment of the present invention will be described in detail with reference to the accompanying drawings. Furthermore, the present invention is not limited to the embodiments described below.

[0029] The following describes the structure and processing of the cable monitoring system 100 involved in the embodiments, the structure and processing of each device of the cable monitoring system 100, the processing flow of the cable monitoring system 100, and the effects of the embodiments.

[0030] [1. Structure and processing of cable monitoring system 100]

[0031] use Figure 1 The structure and processing of the cable monitoring system 100 according to the embodiments will be described. Figure 1 This diagram illustrates a structural example and a processing example of the cable monitoring system 100 according to the embodiment. Hereinafter, the overall structural example, processing example, and effects of the cable monitoring system 100 will be explained.

[0032] Furthermore, the implementation provides an example of monitoring submarine cables used for offshore wind power generation, but the purpose of use and application areas are not particularly limited. Additionally, "monitoring" also includes "diagnosis," which confirms whether there are any abnormalities in the object at any given time.

[0033] (1-1. Example of the overall structure of the cable monitoring system 100)

[0034] The overall structure of the cable monitoring system 100 will be described below. The cable monitoring system 100 consists of an operator terminal 10, a measuring device 20, a fan W, and a cable C. Here, the operator terminal 10 is communicatively connected via a specified communication network (not shown) in a wired or wireless manner. Furthermore, various communication networks such as the Internet or dedicated lines can be used for the specified communication network.

[0035] (1-1-1. Operator Terminal 10)

[0036] Operator terminal 10 is a management terminal used by operator O, who is the manager of the wind power generation equipment. For example, operator terminal 10 is installed on ships, offshore equipment, or onshore equipment (e.g., substations, monitoring centers, etc.) and is operated by operator O. Furthermore, Figure 1 The cable monitoring system 100 shown may also include multiple operator terminals 10. Additionally, in Figure 1 The example shows the case where the operator terminal 10 is implemented by a desktop PC (Personal Computer), but it can also be implemented by a laptop PC, smartphone, server device, cloud system, etc.

[0037] (1-1-2. Measuring Apparatus 20)

[0038] Measuring device 20 (20-1, 20-2, 20-3, The measuring device 20 is used to measure measurement data M, which represents the characteristics of the optical fiber F constituting the cable C. For example, the measuring device 20 is connected to the optical fiber F constituting the cable C, and measures the temperature (°C), light attenuation (dB), etc. of the optical fiber F as measurement data M. Here, the characteristics of the optical fiber F represent the state of the cable C in which the optical fiber F is installed, and are not limited to the temperature (°C) and light attenuation (dB) mentioned above, but represent the overall properties of the optical fiber F, such as chemical properties, physical properties, and optical properties.

[0039] (1-1-3. Windmill W)

[0040] Windmill W (W-1, W-2, W-3, ( ) is a wind power generation device that generates electricity using wind power. Figure 1 In the example, windmill W extends from the ocean surface to the land, and is arranged as windmill W-1, windmill W-2, windmill W-3, ... The sequence is set at sea, and each generates electricity A.

[0041] (1-1-4. Cable C)

[0042] Cable C (C-1, C-2, C-3, ( ) is a multi-core cable composed of transmission line L and optical fiber F, used to connect wind turbine W and substation. Figure 1 In the example, cable C is defined as cable C-1 connecting windmill W-1 and windmill W-2, cable C-2 connecting windmill W-2 and windmill W-3, cable C-3 connecting windmill W-3, etc. The sequence is buried on the seabed, and the generated electricity A is transmitted to a substation on land (not shown).

[0043] (1-2. Example of overall processing of cable monitoring system 100)

[0044] An example of the overall processing of the cable monitoring system 100 will be described. Furthermore, the processes described below, S1 to S4, can be performed in different orders. Additionally, some steps in the processes described below, S1 to S4, may be omitted.

[0045] (1-2-1. Cable Section Setting and Processing)

[0046] First, the operator terminal 10 sets the cable section CS (step S1). For example, the operator terminal 10 sets the cable section CS that is common to the state of cable C. Here, the cable section CS refers to the location of cable C that is common to the state of cable C (e.g., the amount of current flowing through the transmission line L, the heat dissipation of cable C, the installation status of cable C, etc.). In addition, the location of cable C is at least one interval of one continuous cable C or multiple connected cables C, including multiple points P corresponding to the measurement points of the measuring device 20. Furthermore, the cable section CS of cable C is one or more intervals of cable C that are set automatically or manually based on the state of cable C.

[0047] At this time, the operator terminal 10 uses previously obtained measurement data such as the temperature TP of fiber F and the light attenuation AR-P of fiber F as MP, and sets the cable section CS corresponding to the common position of cable C in terms of current, heat dissipation, and setup. In addition, the operator terminal 10 targets multiple wind turbines W (W-1, W-2, W-3, ...) Multiple cables C (C-1, C-2, C-3, ...) between ) The operator terminal 10 sets cable section CS for multiple locations of cable C. Additionally, the operator terminal 10 sets cable section CS for each location around the wind turbine W and outside the wind turbine W.

[0048] (1-2-2. Data Acquisition and Processing)

[0049] Second, the operator terminal 10 acquires the measurement data M (step S2). For example, the operator terminal 10 acquires measurement data M-1 representing the characteristics of cable C-1 measured by the measuring device 20-1, measurement data M-2 representing the characteristics of cable C-2 measured by the measuring device 20-2, and measurement data M-3 representing the characteristics of cable C-3 measured by the measuring device 20-3. At this time, the operator terminal 10 obtains the temperature T of the optical fiber F, the light attenuation AR of the optical fiber F, etc., as measurement data M.

[0050] At this time, the measuring device 20 can measure multiple points P of cable C. For example, the measuring device 20 can measure measurement data M-1 representing the characteristics of cable C-1 and measurement data M-2 representing the characteristics of cable C-2.

[0051] (1-2-3. Correction and processing of measurement data)

[0052] Third, the operator terminal 10 corrects the measurement data M for each cable section CS (step S3). For example, the operator terminal 10 normalizes the past measurement data MP measured at each point P within the cable section CS using the coefficient of variation, and calculates the correction parameter CP based on the normalized value. Next, the operator terminal 10 calculates the deviation value for the measurement data MP based on the correction parameter CP, and calculates the corrected measurement data M-DC. Here, the deviation value represents how much it deviates from a specified value, for example, how much it deviates from the correction parameter CP, but it is not particularly limited. At this time, the operator terminal 10 can normalize the current measurement data M at each point P using the coefficient of variation, and reflect the normalized value in the correction parameter CP.

[0053] At this point, the operator terminal 10 can perform statistical processing in the aforementioned measurement data correction process to determine the anomaly, i.e., outlier, of cable C. Examples of statistical processing include standard deviation, variance, mean, coefficient of variation, weighted average, median, mode, other statistical methods (histograms, etc.), or combinations thereof, but are not particularly limited. Furthermore, the operator terminal 10 can calculate an approximate curve (regression curve) for the distance of cable C using the temperature T of optical fiber F, the light attenuation AR of optical fiber F, etc., and determine the outlier based on the calculated approximate curve. When calculating the outlier, it is determined by calculating the deviation from the reference value obtained based on the aforementioned statistical processing, approximate curve, etc. Examples of deviation calculation processing include subtraction, but are not particularly limited.

[0054] (1-2-4. Cable monitoring and handling)

[0055] Fourth, the operator terminal 10 monitors cable C (step S4). For example, if the operator terminal 10 detects an anomaly in cable C when the calibration measurement data M-DC exceeds the upper limit threshold X, the operator terminal 10 also detects an anomaly in cable C when the calibration measurement data M-DC is less than the lower limit threshold Y.

[0056] At this time, operator terminal 10 can also notify operator O of an alarm. For example, if the corrected measurement data M-DC exceeds the upper limit threshold X or is less than the lower limit threshold Y, operator terminal 10 will generate an alarm sound to notify operator O of the abnormal detection of cable C. In addition, operator terminal 10 can use past measurement data MP or corrected measurement data M-DC to perform linear prediction or machine learning-based prediction, and notify the operator O of the future level of danger through alarms or warnings.

[0057] (1-3. The effect of cable monitoring system 100)

[0058] The following is an overview and explanation of the problems of the cable monitoring system 100-P involved in the reference technology, and on this basis, the effectiveness of the cable monitoring system 100 is explained.

[0059] (1-3-1. Overview of Cable Monitoring System 100-P)

[0060] In the cable monitoring system 100-P, the operator O measures the temperature T at various points P (e.g., every 1m) along the cable C and monitors the cable C based on its temperature changes. Here, if the cable C is damaged, its resistance increases, causing it to heat up. Additionally, the cable C is cooled by seawater through exposure to seawater from its underground location beneath the seabed. In other words, in the cable monitoring system 100-P, the operator O monitors the cable C based on the temperature changes described above.

[0061] (1-3-2. Problems with the 100-P cable monitoring system)

[0062] In the cable monitoring system 100-P, when the operator O monitors cable C, he evaluates the temperature changes at various points P on cable C. However, in reality, the amount of current flowing through cable C varies depending on its location, making it difficult to implement accurate monitoring of cable C.

[0063] For example, when cable C is connected in series with wind turbine W, the amount of current flowing through cable C varies depending on its location. Specifically, if cable C is connected sequentially from the ocean surface to the land with wind turbines W-1, W-2, W-3, and a substation, the current A-1 generated by wind turbine W-1 flows between wind turbine W-1 and W-2, and the current A-2 generated by wind turbines W-1 and W-2 flows between wind turbines W-2 and W-3. Therefore, the amount of current flowing through cable C varies depending on its location. Based on the above, in cable monitoring system 100-P, because the heat generated by cable C varies due to its location, it is difficult for operator O to make a uniform assessment of the temperature changes of cable C.

[0064] As mentioned above, in the cable monitoring system 100-P, there is a problem that makes it difficult to improve the monitoring accuracy of cable C.

[0065] (1-3-3. Overview of Cable Monitoring System 100)

[0066] In the cable monitoring system 100, the following processes are performed: First, the operator terminal 10 defines each section of cable C as cable segment CS according to its status. Second, the operator terminal 10 corrects the measurement data M for each defined cable segment CS based on the measurement data M, such as the temperature T of optical fiber F and the light attenuation AR of optical fiber F, which are characteristics of cable C measured by the measuring device 20. Third, the operator terminal 10 monitors the cable segment CS based on the measurement data M, such as the temperature T of optical fiber F and the light attenuation AR of optical fiber F, and the corrected measurement data M-DC.

[0067] (1-3-4. The effect of cable monitoring system 100)

[0068] The cable monitoring system 100 has the following effects: First, by defining cable sections CS corresponding to locations common to the condition of cable C, the cable monitoring system 100 can improve the accuracy of the condition assessment of cable C. Second, by correcting the measurement data M for each defined cable section CS, the cable monitoring system 100 can improve the accuracy of the condition assessment of cable C for each cable section CS. Third, by automatically setting the cable section CS using past measurement data MP, the cable monitoring system 100 can easily define the cable section CS and improve the accuracy of the condition assessment of cable C.

[0069] Based on the above, the monitoring accuracy of cable C can be improved in the cable monitoring system 100.

[0070] [2. Structure and processing of each device in the cable monitoring system 100]

[0071] use Figure 2 ,right Figure 1 The structure and processing of each device in the cable monitoring system 100 shown will be explained. Figure 2 This is a block diagram illustrating structural examples of each device in the cable monitoring system 100 according to the embodiment. Hereinafter, structural examples of the overall cable monitoring system 100 according to the embodiment, structural examples and processing examples of the operator terminal 10, and structural examples and processing examples of the measuring device 20 will be described.

[0072] (2-1. Example of the overall structure of the cable monitoring system 100)

[0073] use Figure 2 ,right Figure 1 The overall structure of the cable monitoring system 100 shown will be explained using an example. For instance... Figure 2 As shown, the cable monitoring system 100 consists of an operator terminal 10 and a measuring device 20. Furthermore, the operator terminal 10 can be communicatively connected via a communication network N, such as the Internet or a dedicated line. Alternatively, the operator terminal 10 and the measuring device 20 can be an integrated structure.

[0074] (2-2. Structural and processing examples of operator terminal 10)

[0075] use Figure 2 The structure and processing examples of the operator terminal 10 will be described below. The operator terminal 10 includes an input unit 11, an output unit 12, a communication unit 13, a storage unit 14, and a control unit 15.

[0076] (2-2-1. Input Section 11)

[0077] The input unit 11 manages the input of various information to the operator terminal 10. For example, the input unit 11 is implemented by a mouse, keyboard, touch panel, etc., and accepts various information input to the operator terminal 10.

[0078] (2-2-2. Output section 12)

[0079] The output unit 12 manages the output of various information from the operator terminal 10. For example, the output unit 12 is implemented by a display, speaker, etc., and outputs various information stored in the operator terminal 10.

[0080] (2-2-3. Communications Department 13)

[0081] The communication unit 13 manages data communication with other devices. For example, the communication unit 13 communicates with various communication devices via routers or the like. Additionally, the communication unit 13 can communicate with terminals (not shown).

[0082] (2-2-4. Storage Unit 14)

[0083] The storage unit 14 stores various information referenced by the control unit 15 during operation and various information acquired by the control unit 15 during operation. The storage unit 14 is composed of a measurement data storage unit 14a, a segment information storage unit 14b, a correction data storage unit 14c, and a monitoring result storage unit 14d. For example, the storage unit 14 stores the following information: segment information I set for each location including points P where the characteristics of two or more cables C are within a specified range; segment information I set for multiple locations including points P where the characteristics of one cable C are within a specified range; or segment information I set for each location including the equipment periphery and points P outside the equipment periphery connecting two or more cables C. Here, the storage unit 14 can be implemented, for example, by a semiconductor memory element such as RAM (Random Access Memory) or flash memory, or a storage device such as a hard disk or optical disk. Furthermore, in Figure 2 In this example, the storage unit 14 is located inside the operator terminal 10, but it can also be located outside the operator terminal 10, and multiple storage units can also be provided.

[0084] (2-2-4-1. Measurement data storage unit 14a)

[0085] The measurement data storage unit 14a stores measurement data M. For example, the measurement data storage unit 14a stores measurement data M acquired by the acquisition unit 15a of the control unit 15 (described later). Additionally, the measurement data M is the temperature T of the optical fiber F. Furthermore, the measurement data M is the light attenuation AR of the optical fiber F.

[0086] Here, using Figure 3 An example of the data stored in the measurement data storage unit 14a will be explained. Figure 3 This is a diagram illustrating an example of the measurement data storage unit 14a of the operator terminal 10 according to an embodiment. Figure 3 In the example, the measurement data storage unit 14a has items such as "cable", "measurement point", "temperature", and "attenuation".

[0087] "Cable" refers to the identification information used to identify the cable C being monitored, such as the identification number or mark of a multi-core submarine cable connecting the wind turbines W of an offshore wind power generation system. "Measurement point" refers to the measured points P of the cable C being monitored, such as points P every 1m on the cable C, represented by the distance (m) between the cable C and the specified starting point. "Temperature" refers to the historical information of the measured temperature T of the cable C being monitored, such as the time-series data of the temperature (°C) of the optical fiber F. "Attenuation" refers to the historical information of the measured light attenuation AR of the cable C being monitored, such as the time-series data of the light attenuation (dB) of the optical fiber F.

[0088] That is, in Figure 3 The image shows cable C-1, identified by cable "C001", with the following parameters: {Measurement point: "MP101", Temperature: "T101", Attenuation: "AR101"}, {Measurement point: "MP102", Temperature: "T102", Attenuation: "AR102"}, and {Measurement point: "MP103", Temperature: "T103", Attenuation: "AR103"}. The example shown is that the measurement data M is stored in the measurement data storage unit 14a.

[0089] (2-2-4-2. Section Information Storage Unit 14b)

[0090] The segment information storage unit 14b stores segment information I. For example, the segment information storage unit 14b stores multiple cable segments CS set by the setting unit 15b of the control unit 15 (described later) as segment information I. Additionally, the segment information storage unit 14b stores multiple cable segments CS input by the operator O via the input unit 11 as segment information I. Furthermore, the segment information storage unit 14b stores segment information I indicating multiple cable segments CS corresponding to positions common to the state of cable C, which is connected between multiple devices and consists of transmission lines L and optical fibers F. Additionally, the segment information storage unit 14b stores segment information I indicating multiple cable segments CS set for multiple cables C connected between multiple devices. Furthermore, the segment information storage unit 14b stores segment information I indicating multiple cable segments CS set for multiple positions of cable C. Additionally, the segment information storage unit 14b stores segment information I indicating multiple cable segments CS set for each position around and outside the equipment connecting multiple cables C. In addition, multiple devices can be, for example, multiple power transmission devices. Also, multiple devices can be, for example, offshore wind power generation equipment comprising multiple wind turbines.

[0091] Here, using Figure 4 An example of the data stored in the segment information storage unit 14b will be explained. Figure 4 This is a diagram illustrating an example of the segment information storage unit 14b of the operator terminal 10 according to an embodiment. Figure 4 In the example, the section information storage unit 14b has items such as "cable", "measurement point", and "cable section".

[0092] "Cable" refers to the identification information used to identify the cable C being monitored, such as the identification number or mark of a multi-core submarine cable connecting wind turbines W in an offshore wind power generation system. "Measurement point" refers to the measured points P of the cable C being monitored, for example, points P every 1m on the cable C, represented by the distance (m) between the cable C and a specified starting point. "Cable section" refers to multiple intervals corresponding to common locations related to the state of the cable C being monitored, such as cable sections CS set based on common locations of the cable C's current, heat dissipation, and installation status, or sections connected to multiple wind turbines W (W-1, W-2, W-3, ...). Multiple cables C (C-1, C-2, C-3, ...) between ) The cable section CS is set for various locations, including multiple locations of cable C, and cable section CS is set for each location around the wind turbine W and outside the wind turbine W.

[0093] That is, in Figure 4 The image shows cable C-1, identified by cable "C001", with the following points: {Measurement point: "MP101", cable section: "CS001-A"}, {Measurement point: "MP102", cable section: "CS001-B"}, and {Measurement point: "MP103", cable section: "CS001-B"}. The example of segment information I being stored in segment information storage unit 14b.

[0094] (2-2-4-3. Calibration data storage unit 14c)

[0095] The calibration data storage unit 14c stores calibration parameters CP and calibration measurement data M-DC. For example, the calibration data storage unit 14c stores temperature calibration parameters TP, attenuation calibration parameters ARP, etc., calculated by the calibration unit 15c of the control unit 15 (described later), as calibration parameters CP. In addition, the calibration data storage unit 14c stores calibration temperature T-DC, calibration attenuation AR-DC, etc., calculated by the calibration unit 15c of the control unit 15 (described later), as calibration measurement data M-DC.

[0096] Here, using Figure 5 An example of the data stored in the correction data storage unit 14c will be explained. Figure 5 This is a diagram illustrating an example of the correction data storage unit 14c of the operator terminal 10 according to an embodiment. Figure 5 In the example, the calibration data storage unit 14c has items such as "cable", "measurement point", "temperature calibration parameter", "calibration temperature", "attenuation calibration parameter", and "calibration attenuation".

[0097] "Cable" refers to the identification information used to identify the cable C, which is the object of monitoring. For example, the identification number or mark of a submarine cable (i.e., a multi-core cable) connecting wind turbines W in an offshore wind power generation system. "Measurement point" refers to the measured point P of the cable C, which is the object of monitoring. For example, it refers to points P every 1m on the cable C, represented by the distance (m) between the cable C and the specified starting point. "Temperature correction parameter" refers to the parameter used to correct the temperature T of the measured point P of the cable C, which is the object of monitoring. For example, it is a temperature parameter (°C) calculated based on the previously obtained temperature TP to correct for the change of temperature T over time at point P. "Corrected temperature" refers to the corrected temperature T-DC of the cable C, which is the object of monitoring. For example, it is the corrected temperature (°C) of the optical fiber F. "Attenuation correction parameter" refers to the parameter used to correct the light attenuation AR of the measured point P of the cable C, which is the object of monitoring. For example, it is an attenuation parameter (dB) calculated based on the previously obtained light attenuation AR-P to correct for the change of light attenuation AR over time at point P. "Corrected attenuation" refers to the corrected attenuation AR-DC of the light attenuation AR of the cable C, which is the object of monitoring, after correction. For example, it is the corrected light attenuation (dB) of the fiber F.

[0098] That is, in Figure 5 The image shows cable C-1, identified by cable "C001", with the following parameters: {Measurement point: "MP101", temperature correction parameter: "TP101", correction temperature: "T101-DC", attenuation correction parameter: "ARP101", correction attenuation: "AR101-DC"}, {Measurement point: "MP102", temperature correction parameter: "TP102", correction temperature: "T102-DC", attenuation correction parameter: "ARP102", correction attenuation: "AR102-DC"}, and {Measurement point: "MP103", temperature correction parameter: "TP103", correction temperature: "T103-DC", attenuation correction parameter: "ARP103", correction attenuation: "AR103-DC"}. An example of storing the calibration parameter CP and calibration measurement data M-DC in the calibration data storage unit 14c.

[0099] (2-2-4-4. Monitoring Result Storage Unit 14d)

[0100] The monitoring result storage unit 14d stores the monitoring result D. For example, the monitoring result storage unit 14d stores information such as whether there is any abnormality in the cable C as monitored by the monitoring unit 15d of the control unit 15 (described later), as the monitoring result D.

[0101] Here, using Figure 6 An example of the data stored in the monitoring results storage unit 14d will be explained. Figure 6 This is a diagram illustrating an example of the monitoring result storage unit 14d of the operator terminal 10 according to an embodiment. Figure 6 In the example, the monitoring results storage unit 14d has items such as "cable", "measurement point", "anomaly detection" and "anomaly degree".

[0102] "Cable" refers to the identification information used to identify the cable C being monitored, such as the identification number or mark of a multi-core submarine cable connecting wind turbines W in an offshore wind power generation system. "Measurement Point" refers to the measured points P of the cable C being monitored, such as points P every 1m on the cable C, represented by the distance (m) between the cable C and the specified starting point. "Anomaly Detection" indicates whether any anomalies were detected at point P on the cable C being monitored; for example, a "○" indicates a detected anomaly at point P, and a "-" indicates no detected anomaly at point P. "Anomaly Degree" indicates the deviation of the corrected measurement data M-DC from the anomaly threshold indicating an anomaly, such as a deviation of "20℃" from the anomaly threshold of the corrected temperature T-DC, or a deviation of "5dB" from the anomaly threshold of the corrected attenuation AR-DC, but this is not specifically limited.

[0103] That is, in Figure 6 The image shows cable C-1, identified by cable "C001", with the following parameters: {Measurement point: "MP101", Anomaly detection: "○", Anomaly level: "AD101"}, {Measurement point: "MP102", Anomaly detection: "-", Anomaly level: "AD102"}, and {Measurement point: "MP103", Anomaly detection: "-", Anomaly level: "AD103"}. The example shown is that the monitoring result D is stored in the monitoring result storage section 14d.

[0104] (2-2-5. Control Unit 15)

[0105] The control unit 15 manages the overall control of the operator terminal 10. The control unit 15 consists of an acquisition unit 15a, a setting unit 15b, a calibration unit 15c, and a monitoring unit 15d. Here, the control unit 15 can be implemented, for example, by a circuit such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) or an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0106] (2-2-5-1. Acquisition Section 15a)

[0107] The acquisition unit 15a acquires various information. Furthermore, the acquisition unit 15a stores the acquired information in the storage unit 14. The following describes the processing of measurement data acquisition (temperature acquisition processing, attenuation acquisition processing).

[0108] (Data Acquisition and Processing)

[0109] The acquisition unit 15a performs measurement data acquisition processing. For example, the acquisition unit 15a acquires measurement data M representing the characteristics of the optical fiber F of cable C. Additionally, the acquisition unit 15a acquires measurement data M measured by the measurement device 20 connected to the optical fiber F. Furthermore, the acquisition unit 15a acquires measurement data M input by the operator O via the input unit 11. Additionally, the acquisition unit 15a acquires measurement data M via the communication unit 13. At this time, the acquisition unit 15a can also acquire measurement data MP from a certain past period as measurement data M.

[0110] (Temperature acquisition and processing)

[0111] The acquisition unit 15a performs temperature acquisition processing as measurement data acquisition processing. For example, the acquisition unit 15a acquires the temperature T of the optical fiber F of the cable C as measurement data M. In addition, the acquisition unit 15a acquires the temperature T measured by the measuring device 20 connected to the optical fiber F as measurement data M.

[0112] A specific example of temperature acquisition processing will be explained. First, acquisition unit 15a acquires the following parameters as temperature T measured by measuring device 20-1 in cable C-1, identified by cable "C001": {Measurement point: "MP101", temperature: "T101"}, {Measurement point: "MP102", temperature: "T102"}, and {Measurement point: "MP103", temperature: "T103"}. Secondly, the acquisition unit 15a stores the acquired temperature T in the measurement data storage unit 14a.

[0113] (Attenuation Acquisition Processing)

[0114] The acquisition unit 15a performs attenuation acquisition processing as measurement data acquisition processing. For example, the acquisition unit 15a acquires the light attenuation AR of the optical fiber F of the cable C as measurement data M. In addition, the acquisition unit 15a acquires the light attenuation AR measured by the measuring device 20 connected to the optical fiber F as measurement data M.

[0115] A specific example of the attenuation acquisition process will be explained. First, the acquisition unit 15a acquires the light attenuation AR measured by the measuring device 20-1 in cable C-1, identified by cable "C001", attenuation: {Measurement point: "MP101", attenuation: "AR101"}, {Measurement point: "MP102", attenuation: "AR102"}, and {Measurement point: "MP103", attenuation: "AR103"}. Second, the acquisition unit 15a stores the acquired light attenuation AR in the measurement data storage unit 14a.

[0116] (2-2-5-2. Setting Section 15b)

[0117] The setting unit 15b sets various information. Furthermore, the setting unit 15b can store the set information in the storage unit 14. Additionally, the setting unit 15b can refer to the various information stored in the storage unit 14. The cable section setting process (current quantity determination process, heat dissipation condition determination process, and setting status determination process) will be explained below.

[0118] (Cable section setting and processing)

[0119] The setting unit 15b performs cable section setting processing. For example, based on previously measured measurement data MP, the setting unit 15b sets multiple cable sections CS and stores them as section information I in the section information storage unit 14b. Additionally, the setting unit 15b sets multiple cable sections CS that share common statuses such as the amount of current flowing through the transmission line, the heat dissipation condition of the cable C, or the installation condition of the cable C. Furthermore, the setting unit 15b stores the section information I input by the user, i.e., operator O, in the section information storage unit 14b.

[0120] A specific example of cable section setting processing will be explained. First, the setting unit 15b refers to the measurement data stored in the measurement data storage unit 14a in cable C-1 identified by the cable "C001" as measurement data M, namely {Measurement point: "MP101", temperature: "T101", attenuation: "AR101"}, {Measurement point: "MP102", temperature: "T102", attenuation: "AR102"}, {Measurement point: "MP103", temperature: "T103", attenuation: "AR103"}, as measurement data M. Second, the setting unit 15b refers to the measurement data MP in the measurement data M, which represents a certain period in the past (e.g., 1 day ago 1 week ago, 1 day ago 1 month ago, 1 day ago 1 year ago), and sets the measurement point as: {Measurement point: "MP101", temperature: "T101-P", attenuation: "AR101-P"}, {Measurement point: "MP102", temperature: "T102-P", attenuation: "AR102-P"}, {Measurement point: "MP103", temperature: "T103-P", attenuation: "AR103-P"}. Third, the setting unit 15b compares at least one of the past measurement data MP (representing the temperature TP) and the light attenuation AR-P value for each point P, and sets {Measurement point: "MP101", cable section: "CS001-A"}, {Measurement point: "MP102", cable section: "CS001-B"}, {Measurement point: "MP103", cable section: "CS001-B"}. As multiple cable sections CS corresponding to positions with characteristics common to cable C. Fourth, the setting unit 15b stores the multiple cable sections CS as section information I in the section information storage unit 14b.

[0121] Here, the common location of the characteristics of cable C is the interval including the point P where the past measurement data MP shows values ​​within the specified range. For example, it is the interval including the point P where the temperature TP value is within the specified range, the light attenuation AR-P value is within the specified range, or both the temperature TP value and the light attenuation AR-P value are within the specified range.

[0122] (Current quantity determination and processing)

[0123] The setting unit 15b performs current quantity determination processing as cable section setting processing. For example, the setting unit 15b sets multiple cable sections CS corresponding to locations where the current flowing through the transmission line L is common. At this time, the setting unit 15b compares the temperature TP, which is the past measurement data MP, for example, within one day a week ago. If the temperature TP is within a specified range within a certain period, it determines that the location is where the current flowing through the transmission line L is common (e.g., cable C connected between the same wind turbines W). In addition, the setting unit 15b compares the light attenuation AR-P, which is the past measurement data MP, within one day a week ago. If the light attenuation AR-P is within a specified range within a certain period, it determines that the location is where the current flowing through the transmission line L is common.

[0124] (Heat dissipation status assessment and processing)

[0125] The setting unit 15b performs heat dissipation condition determination processing as cable section setting processing. For example, the setting unit 15b sets multiple cable sections CS corresponding to locations where the heat dissipation conditions of cable C are common. At this time, the setting unit 15b compares, for example, the temperature TP presented on a day one month ago, which is past measurement data MP. If the temperature TP is within a specified range within a certain period, it is determined that the location has common heat dissipation conditions (e.g., the burial geology, the type of covering material, etc.). In addition, the setting unit 15b compares the light attenuation AR-P presented on a day one month ago, which is past measurement data MP. If the light attenuation AR-P is within a specified range within a certain period, it is determined that the location has common heat dissipation conditions.

[0126] (Settings status determination and processing)

[0127] The setting unit 15b performs setting status determination processing as cable section setting processing. For example, the setting unit 15b sets multiple cable sections CS corresponding to positions where the setting status of cable C is common. At this time, the setting unit 15b compares, for example, the light attenuation AR-P observed in one day one year ago, using past measurement data MP. If the light attenuation AR-P is within a specified range within a certain period, it determines that the setting status is common (e.g., burial depth, exposure to seawater, influence of ocean currents, etc.). In addition, the setting unit 15b compares, using past measurement data MP, the temperature TP observed in one day one year ago. If the temperature TP is within a specified range within a certain period, it determines that the setting status is common.

[0128] (2-2-5-3. Correction Section 15c)

[0129] The calibration unit 15c performs calibration on various information. Furthermore, the calibration unit 15c can store the calibrated information in the storage unit 14. Additionally, the calibration unit 15c can refer to the information stored in the storage unit 14. The measurement data calibration processing (temperature calibration processing, attenuation calibration processing) will be described below.

[0130] (Data correction and processing)

[0131] The calibration unit 15c performs measurement data correction processing. For example, the calibration unit 15c calibrates measurement data M for multiple cable sections CS. Furthermore, the calibration unit 15c corrects the measurement data M using the correction parameter CP for each point P within the same cable section CS. Additionally, the calibration unit 15c uses the measurement data M measured at each point P within the same cable section CS and the correction parameter CP to calculate the deviation value relative to the measurement data M measured at each point P, thereby correcting the measurement data M. Furthermore, the calibration unit 15c calculates the correction parameter CP by performing statistical processing on the measurement data M measured at each point P within the same cable section CS. Here, the correction parameter CP is calculated using past measurement data MP through statistical processing methods such as standard deviation, variance, mean, coefficient of variation, weighted average, median, mode, and other statistical methods (histograms, etc.). Furthermore, the calibration unit 15c calculates the correction parameter CP by performing statistical processing on past measurement data MP measured at each point P within the same cable section CS. Furthermore, the calibration unit 15c calculates the calibration parameter CP through statistical processing that includes at least averaging. Here, averaging is a statistical processing that calculates the arithmetic mean, geometric mean, or other average values. Additionally, the calibration unit 15c calculates the calibration parameter CP by selecting one or more statistical processing methods from a group consisting of the mean, variance, and coefficient of variation. Furthermore, the calibration unit 15c quantifies the influence caused by heat dissipation conditions, installation conditions, etc., through the calibration parameter CP. Furthermore, the calibration unit 15c calculates the calibration measurement data M-DC by reflecting the calibration parameter CP onto the measurement data M. Additionally, the calibration unit 15c can calculate the calibration measurement data M-DC by reflecting the values ​​caused by current at each point P within the cable section CS onto the calibration measurement data M-DC using statistical processing methods such as standard deviation, variance, mean, coefficient of variation, weighted average, median, mode, and other statistical methods (histograms, etc.). Here, statistical processing refers to statistical methods used to analyze the distribution of various elements within a group, quantitatively clarifying the trends, properties, etc., of that group.

[0132] (Temperature correction processing)

[0133] The calibration unit 15c performs temperature correction processing as a measurement data correction process. For example, the calibration unit 15c corrects the temperature T for multiple cable sections CS. Furthermore, the calibration unit 15c corrects the temperature T using the temperature correction parameter TP for each point P within the same cable section CS. Using the temperature T measured at each point P within the same cable section CS and the temperature correction parameter TP, the deviation value relative to the temperature T measured at each point P is calculated, thereby correcting the temperature T. Additionally, the calibration unit 15c calculates the temperature correction parameter TP by statistically processing the temperature T measured at each point P within the same cable section CS. Here, the temperature correction parameter TP is calculated based on previously measured temperatures TP using statistical methods such as standard deviation, variance, mean, coefficient of variation, weighted average, median, mode, and other statistical methods (histograms, etc.). Furthermore, the calibration unit 15c calculates the temperature correction parameter TP by statistically processing the temperature TP measured at each point P within the same cable section CS in the past. Furthermore, the calibration unit 15c calculates the temperature correction parameter TP using statistical processing that includes at least averaging. The calibration unit 15c calculates the temperature correction parameter TP by selecting one or more statistical processes from a group consisting of the mean, variance, and coefficient of variation. Furthermore, the calibration unit 15c quantifies the effects of heat dissipation conditions, installation conditions, etc., based on the temperature correction parameter TP. Additionally, the calibration unit 15c calculates the correction temperature T-DC by reflecting the temperature correction parameter TP onto the measured temperature T. Furthermore, the calibration unit 15c can calculate the value caused by the current at each point P within the cable section CS using statistical processes such as standard deviation, variance, mean, coefficient of variation, weighted average, median, mode, and other statistical methods (histograms, etc.), reflecting the value caused by the current onto the correction temperature T-DC, thereby calculating the correction temperature T-DC.

[0134] Specific examples of temperature correction processing will be explained. First, the correction unit 15c refers to cable C-1 identified by cable "C001", and the section information storage unit 14b stores the following as section information I: {Measurement point: "MP101", cable section: "CS001-A"}, {Measurement point: "MP102", cable section: "CS001-B"}, and {Measurement point: "MP103", cable section: "CS001-B"}. Second, the correction unit 15c refers to cable C-1 identified by cable "C001", and the measurement data storage unit 14a stores the following as temperature T, for the same cable section CS: {Measurement point: "MP102", temperature: "T102"}, and {Measurement point: "MP103", temperature: "T103"}. Third, the calibration unit 15c calculates the average value "TA102 to 103" obtained by averaging the temperatures "T102" and "T103" measured at measurement points "MP102" and "MP103". Fourth, the calibration unit 15c refers to the temperature correction parameter TP stored in the calibration data storage unit 14c in cable C-1 identified by cable "C001" as {measurement point: "MP102", temperature correction parameter: "TP102"} and {measurement point: "MP103", temperature correction parameter: "TP103"}. Fifth, the calibration unit 15c calculates the coefficient of variation for the temperatures "T102" and "T103" measured at measurement points "MP102" and "MP103", respectively, using the average value "TA102 to 103", and calculates the deviation values ​​relative to the temperature correction parameters "TP102" and "TP103", thereby calculating {Measurement point: "MP102", Correction temperature: "T102-DC"} and {Measurement point: "MP103", Correction temperature: "T103-DC"}, as the correction temperature T-DC. Sixth, the calibration unit 15c stores the calculated correction temperature T-DC in the calibration data storage unit 14c.

[0135] (Attenuation correction processing)

[0136] The calibration unit 15c performs attenuation correction processing as a measurement data correction process. For example, the calibration unit 15c corrects the light attenuation AR for multiple cable sections CS. Furthermore, the calibration unit 15c corrects the attenuation AR using the attenuation correction parameter ARP at each point P within the same cable section CS. By using the attenuation AR measured at each point P within the same cable section CS and the attenuation correction parameter ARP, the deviation value relative to the attenuation AR measured at each point P is calculated, thereby correcting the attenuation AR. Additionally, the calibration unit 15c calculates the attenuation correction parameter ARP by statistically processing the attenuation AR measured at each point P within the same cable section CS. Here, the attenuation correction parameter ARP is calculated based on previously measured attenuation AR-P using standard deviation, variance, mean, coefficient of variation, weighted average, median, mode, and other statistical methods (histograms, etc.). Furthermore, the calibration unit 15c calculates the attenuation correction parameter ARP by statistically processing the attenuation AR-P measured at each point P within the same cable section CS. Furthermore, the correction unit 15c calculates the attenuation correction parameter ARP through statistical processing that includes at least averaging. Additionally, the correction unit 15c calculates the attenuation correction parameter ARP by selecting one or more statistical processes from a group consisting of the mean, variance, and coefficient of variation. Furthermore, the correction unit 15c quantifies the effects caused by heat dissipation conditions, installation conditions, etc., using the attenuation correction parameter ARP. Additionally, the correction unit 15c calculates the corrected attenuation AR-DC by reflecting the attenuation correction parameter ARP in the measured attenuation AR. Furthermore, the correction unit 15c can calculate the value caused by the current at each point P within the cable section CS using statistical processing methods such as standard deviation, variance, mean, coefficient of variation, weighted average, median, mode, and other statistical methods (histograms, etc.), and reflect the value caused by the current in the corrected attenuation AR-DC, thereby calculating the corrected attenuation AR-DC.

[0137] A specific example of attenuation correction processing will be explained. First, the correction unit 15c refers to the cable C-2 identified by the cable “C002”, and the section information storage unit 14b stores the following as section information I: {Measurement point: “MP201”, cable section: “CS002-C”}, {Measurement point: “MP202”, cable section: “CS002-C”}, and {Measurement point: “MP203”, cable section: “CS002-C”}. Second, the calibration unit 15c refers to the measurement data storage unit 14a storing the light attenuation AR at the following locations within the same cable segment CS: {Measurement point: "MP201", attenuation: "AR201"}, {Measurement point: "MP202", attenuation: "AR202"}, and {Measurement point: "MP203", attenuation: "AR203"}. Third, the calibration unit 15c calculates the average value "ARA201 to 203" obtained by averaging the attenuations "AR201" to "AR203" measured at measurement points "MP201" to "MP203". Fourth, in the cable C-2 identified by the reference cable “C002”, the calibration data storage unit 14c stores the following as attenuation correction parameters ARP: {Measurement point: “MP201”, attenuation correction parameter: “ARP201”}, {Measurement point: “MP202”, attenuation correction parameter: “ARP202”}, and {Measurement point: “MP203”, attenuation correction parameter: “ARP203”}. Fifth, the calibration unit 15c calculates the coefficient of variation for the attenuations "AR201" to "AR203" measured at measurement points "MP201" to "MP203" using the average value "ARA201 to 203", and calculates the deviation value relative to the attenuation correction parameters "ARP201" to "ARP203" respectively. From this, it calculates the following as the corrected attenuation AR-DC: {Measurement point: "MP201", Corrected attenuation: "AR201-DC"}, {Measurement point: "MP202", Corrected attenuation: "AR202-DC"}, and {Measurement point: "MP203", Corrected attenuation: "AR203-DC"}. Sixth, the calibration unit 15c stores the calculated corrected attenuation AR-DC in the calibration data storage unit 14c.

[0138] (2-2-5-4. Monitoring Department 15d)

[0139] The monitoring unit 15d performs various monitoring tasks. Furthermore, the monitoring unit 15d can store the output monitoring results D in the storage unit 14. Additionally, the monitoring unit 15d can refer to various information stored in the storage unit 14. The anomaly detection processing (temperature anomaly detection processing, attenuation anomaly detection processing) will be described below.

[0140] (Anomaly detection and handling)

[0141] The monitoring unit 15d performs anomaly detection processing. For example, based on measurement data M and section information I, the monitoring unit 15d monitors multiple cable sections CS for any anomalies in cable C. Furthermore, the monitoring unit 15d uses the corrected measurement data M, i.e., the corrected measurement data M-DC, to detect anomalies in cable C. At this time, the monitoring unit 15d detects an anomaly in cable C if the corrected measurement data M-DC exceeds the upper threshold X. Conversely, the monitoring unit 15d detects an anomaly in cable C if the corrected measurement data M-DC is less than the lower threshold Y.

[0142] (Temperature Anomaly Detection and Handling)

[0143] Monitoring unit 15d performs temperature anomaly detection processing as an anomaly detection procedure. For example, monitoring unit 15d monitors cable C for anomalies based on temperature T and section information I, targeting multiple cable sections CS. Additionally, monitoring unit 15d uses a corrected temperature T, i.e., the corrected temperature T-DC, to detect anomalies in cable C. At this time, monitoring unit 15d detects anomalies in cable C when the corrected temperature T-DC exceeds the upper limit temperature threshold X. T In cases where cable C is damaged, an anomaly is detected (e.g., cable C is damaged). Additionally, monitoring unit 15d detects an anomaly in cable C when the calibration temperature T-DC is less than the lower limit temperature threshold Y. T In such cases, an anomaly was detected in cable C (e.g., cable C is exposed to seawater).

[0144] Specific examples of temperature anomaly detection and processing are explained. First, the monitoring unit 15d refers to the section information stored in the section information storage unit 14b of cable C-1 identified by cable "C001": {Measurement point: "MP101", cable section: "CS001-A"}, {Measurement point: "MP102", cable section: "CS001-B"}, and {Measurement point: "MP103", cable section: "CS001-B"}, which serve as section information I. Second, the monitoring unit 15d refers to the calibration temperature T-DC of the same cable section CS of cable C-1 identified by cable "C001", which is stored in the calibration data storage unit 14c: {Measurement point: "MP101", calibration temperature: "T101-DC"}. Third, the monitoring unit 15d, for example, determines that the calibration temperature "T101-DC" exceeds the upper limit temperature threshold X. T An abnormal temperature was detected at measurement point "MP101". Additionally, the monitoring unit determined, for example, that the correction temperature "T101-DC" was lower than the lower limit temperature threshold Y. TA temperature anomaly was detected at measurement point "MP101". Fourth, the monitoring unit 15d stores the detected temperature anomaly {measurement point: "MP101", anomaly detection: "○", anomaly degree: "AD101"} as monitoring result D in the monitoring result storage unit 14d.

[0145] (Attenuation anomaly detection and handling)

[0146] The monitoring unit 15d performs attenuation anomaly detection processing as an anomaly detection process. For example, based on the light attenuation AR and segment information I, the monitoring unit 15d monitors cable C for anomalies across multiple cable segments CS. Additionally, the monitoring unit 15d detects anomalies in cable C using the corrected light attenuation AR, i.e., the corrected attenuation AR-DC. At this time, the monitoring unit 15d detects anomalies in cable C when the corrected attenuation AR-DC exceeds the upper attenuation threshold X. AR In the event of an anomaly in cable C (e.g., cable C elongation), monitoring unit 15d detects the anomaly in cable C. Additionally, if the corrected attenuation AR-DC is less than the lower attenuation threshold Y... AR In this case, an abnormality was detected in cable C (e.g., bending, aging, etc.).

[0147] A specific example of attenuation anomaly detection processing will be explained. First, in cable C-2 identified by the monitoring unit 15d with reference to cable "C002", the section information storage unit 14b stores the following as section information I: {Measurement point: "MP201", cable section: "CS002-C"}, {Measurement point: "MP202", cable section: "CS002-C"}, and {Measurement point: "MP203", cable section: "CS002-C"}. Second, the monitoring unit 15d refers to the cable C-2 identified by cable "C002", and the calibration data storage unit 14c stores the following data as calibration attenuation AR-DC, located in the same cable segment CS: {Measurement point: "MP201", calibration attenuation: "AR201-DC"}, {Measurement point: "MP202", calibration attenuation: "AR202-DC"}, and {Measurement point: "MP203", calibration attenuation: "AR203-DC"}. Third, the monitoring unit 15d, for example, determines that the calibration attenuation: "AR202-DC" exceeds the upper limit attenuation threshold X. AR An abnormal attenuation was detected at the measurement point "MP202". Additionally, the monitoring unit determined, for example, that the corrected attenuation "AR202-DC" was less than the lower attenuation threshold Y. AR If so, an attenuation anomaly is detected at the measurement point "MP202". Fourth, the monitoring unit 15d stores the detected attenuation anomaly {measurement point: "MP202", anomaly detection: "○", anomaly degree: "AD202"} as monitoring result D in the monitoring result storage unit 14d.

[0148] (2-3. Structural and processing examples of measuring device 20)

[0149] use Figure 2 The structure and processing examples of the measuring device 20 will be described below. For example, the measuring device 20 is connected to the optical fiber F constituting the cable C, and measures measurement data M representing the characteristics of the optical fiber F of the cable C. In addition, the measuring device 20 measures the temperature T at each point P of the optical fiber F of the cable C, and records it as measurement data M. Furthermore, the measuring device 20 measures the light attenuation AR at each point P of the optical fiber F of the cable C, and records it as measurement data M.

[0150] [3. Specific examples of each process in the cable monitoring system 100]

[0151] use Figures 7 to 11 Specific examples of each process of the cable monitoring system 100 according to the embodiment will be described below. Hereinafter, specific examples of the section setting process, the data correction process, and the cable monitoring process will be described as specific examples of each process of the cable monitoring system 100.

[0152] (3-1. Specific example of section setting processing)

[0153] use Figure 7 A specific example of the section setting process for the cable monitoring system 100 will be explained. Figure 7 This diagram illustrates a specific example of the section setting process of the cable monitoring system 100 according to the embodiment. Hereinafter, a structural example of a wind power generation device will be described, and based on this, section setting processes based on the temperature T of the cable C and section setting processes based on light attenuation AR will be explained.

[0154] (3-1-1. Structural Example of Wind Power Generation Equipment)

[0155] like Figure 7 As shown in the example, the wind power generation equipment connects multiple wind turbines W and multiple cables C. In Figure 7 In the example, multiple wind turbines W are connected via cables C from the ocean surface to the land, in the order of wind turbines W-1, W-2, W-3, and W-4, transmitting electricity A generated by a substation (not shown) on land. Furthermore, for the multiple cables C, cable C-1 connects wind turbines W-1 and W-2, cable C-2 connects wind turbines W-2 and W-3, cable C-3 connects wind turbines W-3 and W-4, and cable C-4 connects wind turbine W-4 and the substation (not shown). Additionally, cables C are buried underground on the seabed, with portions partially exposed to seawater at the locations where they connect to the wind turbines W.

[0156] (3-1-2. Section setting processing based on temperature T of cable C)

[0157] The section setting process based on temperature T of cable C is explained. For example... Figure 7 As shown in the example, the temperature T of cable C tends to increase around the wind turbine W due to the influence of the equipment in the wind turbine W. Furthermore, the temperature T of cable C gradually increases in the order of cables C-1, C-2, C-3, and C-4 because power consumption increases as the generated electricity A is transmitted from the ocean surface to the land. In the cable monitoring system 100, the operator terminal 10 can collect past temperatures TP, determine the differences in cable C characteristics based on the trend of temperature T, and set common cable sections CS for cable C characteristics. Furthermore, the operator terminal 10 can also set common cable sections CS for cable C characteristics, taking into account the trend of light attenuation AR (described later). Additionally, in the cable monitoring system 100, the operator O can determine the differences in cable C characteristics based on the trend of temperature T and input the common cable sections CS for cable C characteristics.

[0158] (3-1-3. Segment setting processing based on light attenuation AR)

[0159] The section setting processing for optical attenuation AR based on cable C is explained. For example... Figure 7 As shown in the example, the light attenuation AR of cable C gradually decreases as it moves away from the land towards the sea surface, in the order of cable C-4, cable C-3, cable C-2, and cable C-1. In the cable monitoring system 100, the operator terminal 10 can collect past light attenuation AR-P, determine the differences in cable C's characteristics based on the trend of light attenuation AR, and set the cable section CS with common characteristics of cable C. Furthermore, the operator terminal 10 can also consider the aforementioned temperature T trend and set the cable section CS with common characteristics of cable C. In addition, in the cable monitoring system 100, the operator O can determine the differences in cable C's characteristics based on the trend of light attenuation AR and input the cable section CS with common characteristics of cable C.

[0160] (3-2. Specific examples of data correction processing)

[0161] use Figures 8 to 10 Specific examples of data correction processing for the cable monitoring system 100 will be explained below. The principle of data correction will be explained, and based on this, specific examples 1 to 3 of the data correction processing will be described.

[0162] (3-2-1. Data Correction Principle)

[0163] The data correction principle of the cable monitoring system 100 will be explained below. The calculation principle of the correction parameter CP and the calculation principle of the correction measurement data M-DC will be explained.

[0164] (3-2-1-1. Calculation principle of correction parameter CP)

[0165] The calculation principle of the calibration parameter CP of the cable monitoring system 100 is explained. The following explains the calculation principle of the calibration value (i.e., the calibration parameter CP) and the calibration measurement data M-DC of the cable C at each point P.

[0166] (Correction parameter CP)

[0167] In the cable monitoring system 100, based on the past measurement data MP of each point P, the fluctuations of the past measurement data MP are normalized using the coefficient of variation as one of the statistical processes. Furthermore, in the cable monitoring system 100, based on the values ​​normalized by the coefficient of variation, a correction parameter CP for each point P is calculated and recorded. Additionally, in the cable monitoring system 100, the current measurement data M of each point P is normalized and appropriately reflected in the correction parameter CP.

[0168] (M-DC calibration data)

[0169] In the cable monitoring system 100, the deviation of the measured data M relative to each point P is obtained based on the correction parameter CP, thereby calculating and recording the correction measurement data M-DC for each point P.

[0170] (3-2-2. Specific example 1 of data correction processing)

[0171] use Figure 8 Example 1 illustrates the specific data correction processing of the cable monitoring system 100. Figure 8 This is a diagram illustrating a specific example 1 of the data correction processing of the cable monitoring system 100 according to the embodiment. Hereinafter, the distribution of the actual temperature T will be explained as a representation of the distribution of measured data M showing the relationship between distance and time before the data correction processing is performed.

[0172] Figure 8 It is a graph showing the temperature T distribution of the cables C connected to the four wind turbines W-1 to W-4. Figure 8 The vertical axis represents the date and time when the temperature T was measured; data closer to the top is more recent, and data closer to the bottom is earlier. Additionally, Figure 8 The horizontal axis represents the point P where the temperature T of cable C is measured, and its distance d from the specified location. Data closer to the right is closer to the land side, and data closer to the left is closer to the ocean side. Figure 8 In the diagram, areas with higher concentrations indicate areas with higher or lower temperatures (T).

[0173] Figure 8 (a) Noise caused by environmental factors such as geology, which vary depending on the location P, was measured. The temperature T in the area corresponding to the location of the cable C buried on the seabed was higher than in other areas. Additionally, Figure 8 (b) Noise is caused by characteristics such as varying power generation over time, i.e., changes in power generation. Temperature T in the central area was measured to be higher than in other areas, while temperature T in the peripheral area was measured to be lower than in other areas. Additionally, Figure 8 (c) is the area corresponding to the location where windmills W1 to W4 are set, and the temperature is constant.

[0174] (3-2-3. Specific example 2 of data correction processing)

[0175] use Figure 9 Example 2 illustrates the specific data correction processing of the cable monitoring system 100. Figure 9 This is a diagram illustrating a specific example 2 of the data correction processing of the cable monitoring system 100 according to the embodiment.

[0176] Figure 9 It is a graph showing the distribution of the corrected temperature T-DC1 of the cable C connected to the four wind turbines W-1 to W-4, and it is a graph after point correction to remove noise caused by the different characteristics of the point P. Figure 9 The vertical axis represents the date and time when the temperature T was measured; data closer to the top is more recent, and data closer to the bottom is earlier. Additionally, Figure 9 The horizontal axis represents the point P where the temperature T of cable C is measured, and its distance d from the specified location. Data closer to the right is closer to the land side, and data closer to the left is closer to the ocean side. Figure 9 In the diagram, areas with higher concentrations indicate areas with higher or lower temperatures (T).

[0177] Figure 9 It is Figure 8 (a) shows the noise removal caused by the different characteristics of point P, and the data correction process between points P is performed.

[0178] (3-2-4. Specific example 3 of data correction processing)

[0179] use Figure 10 Example 3 illustrates the specific data correction processing of the cable monitoring system 100. Figure 10 This is a diagram illustrating a specific example 3 of the data correction processing of the cable monitoring system 100 according to the implementation method.

[0180] Figure 10 It is a graph showing the distribution of the corrected temperature T-DC2 of the cable C connected to the four wind turbines W-1 to W-4, and it is a graph after point correction to remove noise caused by different characteristics according to point P, and after time correction to remove noise caused by different characteristics according to time. Figure 10 The vertical axis represents the date and time when the temperature T was measured; data closer to the top is more recent, and data closer to the bottom is earlier. Additionally, Figure 10 The horizontal axis represents the point P where the temperature T of cable C is measured, and the distance d from the specified position is used. The closer to the right is the data closer to the land side, and the closer to the left is the data closer to the ocean side. Figure 10 In the diagram, areas with higher concentrations indicate areas with higher or lower temperatures (T).

[0181] Figure 10 It is Figure 8 (a) shows the noise caused by different characteristics depending on the location P and Figure 8 (b) illustrates noise removal caused by time-varying characteristics, which involves data correction processing between points P. Figure 10 As shown by the dashed ellipse, the operator terminal 10 can reduce noise by performing data correction processing and detect temperature anomalies caused by damage to cable C with higher accuracy.

[0182] (3-3. Specific examples of cable monitoring and handling)

[0183] use Figure 11 A specific example of cable monitoring processing of the cable monitoring system 100 will be explained. Figure 11 This diagram illustrates a specific example of cable monitoring processing in the cable monitoring system 100 according to the embodiment. Hereinafter, a structural example of a wind power generation device will be described, and based on this, cable monitoring processing based on the temperature T of the cable C will be explained.

[0184] (3-3-1. Structural Example of Wind Power Generation Equipment)

[0185] like Figure 11 As shown in the example, the wind power generation equipment connects multiple wind turbines W and multiple cables C. In Figure 11In the example, for multiple wind turbines W, from the ocean surface to the land, they are connected by cables C in the order of wind turbine W-1, wind turbine W-2, wind turbine W-3, and wind turbine W-4, transmitting electricity A generated by a substation (not shown) on land. Furthermore, for multiple cables C, cable C-1 connects wind turbine W-1 and wind turbine W-2, cable C-2 connects wind turbine W-2 and wind turbine W-3, cable C-3 connects wind turbine W-3 and wind turbine W-4, and cable C-4 connects wind turbine W-4 and the substation (not shown).

[0186] At this point, the electricity A-1 flowing through cable C-1 transmits the electricity A generated by wind turbine W-1 to wind turbine W-2. Additionally, the electricity A-2 flowing through cable C-2 transmits the electricity A generated by wind turbines W-1 and W-2 to wind turbine W-3. Furthermore, the electricity A-3 flowing through cable C-3 transmits the electricity A generated by wind turbines W-1, W-2, and W-3 ​​to wind turbine W-4. Finally, the electricity A-4 flowing through cable C-4 transmits the electricity A generated by wind turbines W-1, W-2, W-3, and W-4 to a substation (not shown).

[0187] (3-3-2. Cable monitoring and processing based on the temperature T of cable C)

[0188] Cable monitoring processing based on temperature T is explained, specifically as part of the cable monitoring processing based on measurement data M of cable C. Figure 11 In the example, anomaly detection of cable C is shown using cable section CS, defined based on the common location of current flow in cable C. Figure 11 In the example, operator terminal 10 obtains the temperatures T of points P-1(1), P-1(2), and P-1(3) in cable C-1 within the same cable section CS. Then, based on the fact that point P-1(1) is at a high temperature and points P-1(2) and P-1(3) are at normal temperatures T within the same cable section CS, operator terminal 10 detects that point P-1(1) is generating heat due to resistance caused by damage other than cable resistance, and determines that point P-1(1) is damaged. Similarly, operator terminal 10 obtains the temperatures T of points P-3(1), P-3(2), and P-3(3) in cable C-3 within the same cable section CS. Then, the operator terminal 10 detects that point P-3 (3) has heat caused by resistance caused by damage other than cable resistance in the same cable section CS, and determines that point P-3 (3) is damaged.

[0189] (3-3-3. Others)

[0190] exist Figure 11 The example illustrates the use of a cable section CS defined based on the location where the current A flowing through cable C is common. However, cable sections CS can be defined at multiple locations on the same cable C, or across multiple cables C. For example, in... Figure 11 In the example, the operator terminal 10 can also set the cable section CS of point P-1 (1) as "cable section 1" and the cable sections CS of points P-1 (2) and P-1 (3) as "cable section 2" according to the different geological conditions of the soil where the cable C-1 is buried. In addition, in Figure 11 In the example, the operator terminal 10 can also set the cable section CS at point P-1(3) and point P-3(1) as "cable section 3" based on the fact that the cable C at point P-1(3) and point P-3(1) is exposed to seawater because it is connected to the windmill W at point P-3(1).

[0191] [4. Process flow of each step in the cable monitoring system 100]

[0192] use Figures 12 to 16 The processing flow of the cable monitoring system 100 according to the embodiment will be described below. Hereinafter, the overall processing flow of the cable monitoring system 100 will be described, and on this basis, the measurement management process, setting management process, calibration management process and monitoring management process, which are each process, will be described.

[0193] (4-1. Overall processing of the cable monitoring system 100)

[0194] use Figure 12 The overall processing flow of the cable monitoring system 100 involved in the implementation method will be described. Figure 12 This is a flowchart illustrating an example of the overall flow of the cable monitoring system 100 according to the embodiment. Furthermore, the processes of steps S101 to S104 described below can be performed in a different order. Additionally, some processes may be omitted in the processes of steps S101 to S104 described below.

[0195] (4-1-1. Setting up management processes)

[0196] First, the cable monitoring system 100 performs a setting management process (step S101). For example, the cable monitoring system 100 manages the section information I, including the cable section CS set according to the common location of the cable C, by performing the processes described later in steps S201 to S203.

[0197] (4-1-2. Measurement and Management)

[0198] Second, the cable monitoring system 100 performs measurement management processing (step S102). For example, the cable monitoring system 100 manages the measurement data M representing the characteristics of the cable C by performing the processing in steps S301 to S304 described later.

[0199] (4-1-3. Correction and Management Processing)

[0200] Third, the cable monitoring system 100 performs calibration management processing (step S103). For example, the cable monitoring system 100 manages the calibration measurement data M-DC obtained from the calibration measurement data M by performing the processing in steps S401 to S404 described later.

[0201] (4-1-4. Monitoring and Management Processing)

[0202] Fourth, the cable monitoring system 100 performs monitoring management processing (step S104) and ends the processing. For example, the cable monitoring system 100 manages the monitoring result D indicating whether there is an abnormality in cable C by performing the processing of steps S501 to S503 described later.

[0203] (4-2. Setting up management processes)

[0204] use Figure 13 The process of setting and managing the cable monitoring system 100 involved in the implementation method will be described. Figure 13 This is a flowchart illustrating an example of the setting and management process of the cable monitoring system 100 according to the embodiment. Furthermore, the processes of steps S201 to S203 described below can be performed in a different order. Additionally, some steps in steps S201 to S203 described below may be omitted.

[0205] (4-2-1. Data processing)

[0206] First, the operator terminal 10 performs measurement data reference processing (step S201). For example, the operator terminal 10 refers to the temperature TP and light attenuation AR-P stored in the measurement data storage unit 14a as past measurement data MP measured by the measurement device 20 for the cable C.

[0207] (4-2-2. Section setting processing)

[0208] Second, the operator terminal 10 performs a section setting process (step S202). For example, the operator terminal 10 uses the temperature TP and light attenuation AR-P, which are past measurement data MP, to set multiple cable sections CS that share the characteristics of cable C.

[0209] (4-2-3. Section Information Storage and Processing)

[0210] Third, the operator terminal 10 performs the section information storage process (step S203) and ends the setting management process. For example, the operator terminal 10 stores the multiple cable sections CS set as section information I in the section information storage unit 14b.

[0211] (4-3. Measurement and Management)

[0212] use Figure 14 The process of measurement and management of the cable monitoring system 100 involved in the implementation method will be described. Figure 14 This is a flowchart illustrating an example of the measurement and management process of the cable monitoring system 100 according to the embodiment. Furthermore, the processes of steps S301 to S304 described below can be performed in a different order. Additionally, some processes may be omitted in the processes of steps S301 to S304 described below.

[0213] (4-3-1. Measurement and Indication Processing)

[0214] First, the operator terminal 10 performs measurement instruction processing (step S301). For example, the operator terminal 10 performs the measurement of measurement data M of cable C by sending a control signal to the measuring device 20.

[0215] (4-3-2. Measurement and Processing)

[0216] Second, the measuring device 20 performs the measurement execution process (step S302). For example, the measuring device 20 measures the temperature T and light attenuation AR of the connected optical fiber F, as measurement data M.

[0217] (4-3-3. Data Acquisition and Processing)

[0218] Third, the operator terminal 10 performs measurement data acquisition processing (step S303). For example, the operator terminal 10 acquires measurement data from the measuring devices 20 (20-1, 20-2, 20-3, ...). The current measurement data M or the past measurement data MP.

[0219] (4-3-4. Data storage and processing)

[0220] Fourth, the operator terminal 10 performs measurement data storage processing (step S304) and ends the measurement management process. For example, the operator terminal 10 stores the current measurement data M or the past measurement data MP in the measurement data storage unit 14a.

[0221] (4-4. Correction and Management)

[0222] use Figure 15The process of calibration management of the cable monitoring system 100 involved in the implementation method will be described. Figure 15 This is a flowchart illustrating an example of the calibration management process of the cable monitoring system 100 according to the embodiment. Furthermore, the processes described in steps S401 to S404 below can be performed in a different order. Additionally, some steps in steps S401 to S404 below may be omitted.

[0223] (4-4-1. Data processing)

[0224] First, the operator terminal 10 performs measurement data reference processing (step S401). For example, the operator terminal 10 references the temperature T or light attenuation AR stored in the measurement data storage unit 14a.

[0225] (4-4-2. Section Information Reference Processing)

[0226] Second, the operator terminal 10 performs segment information reference processing (step S402). For example, the operator terminal 10 refers to segment information I stored in the segment information storage unit 14b.

[0227] (4-4-3. Data correction and processing)

[0228] Third, the operator terminal 10 performs data correction processing (step S403). For example, the operator terminal 10 corrects the measurement data M for each cable segment CS shown by the segment information I, and calculates the corrected measurement data M-DC.

[0229] (4-4-4. Correction data storage and processing)

[0230] Fourth, the operator terminal 10 performs calibration data storage processing (step S404) and ends the calibration management process. For example, the operator terminal 10 stores the calculated calibration measurement data M-DC in the calibration data storage unit 14c.

[0231] (4-5. Monitoring and Management Processing)

[0232] use Figure 16 The monitoring and management process of the cable monitoring system 100 involved in the implementation method will be described. Figure 16 This is a flowchart illustrating an example of the monitoring and management process of the cable monitoring system 100 according to the embodiment. Furthermore, the processes of steps S501 to S503 described below can be performed in a different order. Additionally, some steps in steps S501 to S503 described below may be omitted.

[0233] (4-5-1. Correction data reference processing)

[0234] First, the operator terminal 10 performs calibration data reference processing (step S501). For example, the operator terminal 10 refers to the calibration measurement data M-DC stored in the calibration data storage unit 14c.

[0235] (4-5-2. Anomaly Detection and Handling)

[0236] Second, the operator terminal 10 performs anomaly detection processing (step S502). For example, the operator terminal 10 detects an anomaly in cable C when the corrected measurement data M-DC exceeds the upper limit threshold X or when the corrected measurement data M-DC is less than the lower limit threshold Y.

[0237] (4-5-3. Monitoring Result Storage and Processing)

[0238] Third, the operator terminal 10 performs monitoring result storage processing (step S503) and ends the monitoring management process. For example, the operator terminal 10 stores the detected abnormality as monitoring result D in the monitoring result storage unit 14d.

[0239] [5. Effects of the Implementation Method]

[0240] The effects of the implementation method will be explained. Hereinafter, effects 1 to 14 corresponding to the processing involved in the implementation method will be explained.

[0241] (5-1. Effect 1)

[0242] First, in the process described in this embodiment, the operator terminal 10 stores segment information I representing the common state of multiple cable segments CS of a cable C consisting of a power line L and an optical fiber F connected between multiple devices, obtains measurement data M representing the characteristics of the optical fiber F of the cable C, and monitors the cable C for the multiple cable segments CS based on the measurement data M and the segment information I. Therefore, in this process, the monitoring accuracy of the cable C can be improved.

[0243] (5-2. Effect 2)

[0244] Secondly, in the process described in this embodiment, the operator terminal 10 calibrates the measurement data M for multiple cable sections CS, and uses the calibrated measurement data M to detect abnormalities in the cable C. Therefore, in this process, by calibrating the measurement data M of the cable C for multiple cable sections CS, the monitoring accuracy of the cable C can be improved.

[0245] (5-3. Effect 3)

[0246] Third, in the processing described in this embodiment, the operator terminal 10 uses the correction parameter CP of each point P within the same cable section CS to correct the measurement data M. Therefore, in this processing, by correcting the measurement data M of cable C using the correction parameter CP for multiple cable sections CS, the monitoring accuracy of cable C can be improved.

[0247] (5-4. Effect 4)

[0248] Fourth, in the processing described in this embodiment, the operator terminal 10 calculates the deviation value between the measurement data M measured at each point P within the same cable section CS and the correction parameter CP, thereby correcting the measurement data M. Therefore, in this processing, by correcting the measurement data M of cable C for multiple cable sections CS considering the effects of heat dissipation, installation, season, or transmission current, the monitoring accuracy of cable C can be improved.

[0249] (5-5. Effect 5)

[0250] Fifth, in the processing described in this embodiment, the operator terminal 10 calculates a correction parameter CP by statistically processing the measurement data M measured at each point P within the same cable section CS. Therefore, in this processing, by calculating the correction parameter CP that takes into account the effects of heat dissipation, setup, or season, the measurement data M of cable C can be corrected, thereby improving the monitoring accuracy of cable C.

[0251] (5-6. Effect 6)

[0252] Sixth, in the processing described in the embodiment, the operator terminal 10 calculates a correction parameter CP by statistically processing the measurement data MP measured at each point P within the same cable section CS in the past. Therefore, in this processing, by calculating the correction parameter CP, which takes into account changes based on the influence of transmission current, etc., and correcting the measurement data M of cable C, the monitoring accuracy of cable C can be improved.

[0253] (5-7. Effect 7)

[0254] 7. In the processing described in the embodiment, the operator terminal 10 calculates the correction parameter CP through statistical processing that includes at least averaging. Therefore, in this processing, by using statistical processing that includes averaging to correct the measurement data M of cable C, the monitoring accuracy of cable C can be improved.

[0255] (5-8. Effect 8)

[0256] 8. In the processing involved in the implementation, the operator terminal 10 stores the following information: segment information I set for each location, including each point P where the characteristics of the optical fiber F in two or more cables C are within a specified range; segment information I set for multiple locations, including each point P where the characteristics of the optical fiber F in one cable C are within a specified range; or segment information I set for each location, including each point P around the equipment connecting two or more cables C and points outside the equipment perimeter. Therefore, in this processing, by setting multiple cable segments CS for various locations, the monitoring accuracy of the cable C can be improved.

[0257] (5-9. Effect 9)

[0258] 9. In the process described in the embodiment, the operator terminal 10 sets multiple cable sections CS that are common to the state of cable C, the amount of current flowing through the transmission line L, the heat dissipation status of cable C, or the installation status of cable C. Therefore, in this process, by automatically setting common cable sections CS such as the amount of current, heat dissipation status, and installation status of cable C, the monitoring accuracy of cable C can be improved.

[0259] (5-10. Effect 10)

[0260] 10. In the process described in this embodiment, the operator terminal 10 sets multiple cable segments CS based on previously measured measurement data MP, and stores them as segment information I in the segment information storage unit 14b. Therefore, in this process, by automatically setting multiple cable segments CS according to the previously measured measurement data MP, the monitoring accuracy of cable C can be improved.

[0261] (5-11. Effect 11)

[0262] In the 11th embodiment, the operator terminal 10 stores the segment information I input by the operator O in the segment information storage unit 14b. Therefore, in this process, by manually setting multiple cable segments CS based on the operator O's rule of thumb, the monitoring accuracy of cable C can be improved.

[0263] (5-12. Effect 12)

[0264] 12. In the process described in the embodiment, the measured data M is the temperature T of the optical fiber F. Therefore, in this process, the monitoring accuracy of the cable C, which utilizes the temperature T of the optical fiber F as the measured data M, can be improved.

[0265] (5-13. Effect 13)

[0266] 13. In the process described in the embodiment, the measured data M is the light attenuation AR of the optical fiber F. Therefore, in this process, the monitoring accuracy of the cable C, which utilizes the light attenuation AR of the optical fiber F as the measured data M, can be improved.

[0267] (5-14. Effect 14)

[0268] 14. In the process described in the embodiment, the multiple devices are multiple power transmission devices. Therefore, in this process, the monitoring accuracy of the cable C connected to the power transmission devices can be improved.

[0269] [6. Application Examples of the Implementation Methods]

[0270] Application examples of the implementation methods will be described below. Hereinafter, application examples 1 to 7 of the implementation methods will be described.

[0271] (6-1. Application Example 1)

[0272] As an example of the implementation method, the device connected by cable C can also be applied to power transmission equipment between islands, power transmission equipment from islands to offshore platforms, power transmission equipment from large offshore platforms to small offshore platforms, etc.

[0273] (6-2. Application Example 2)

[0274] As an example of the implementation method, the device connected by cable C can also be applied to power transmission equipment such as tidal power generation equipment, solar power generation equipment, and hydropower generation equipment installed on oceans, lakes, and rivers.

[0275] (6-3. Application Example 3)

[0276] As an example of the implementation method, the device connected by cable C can also be applied to power transmission equipment such as wind power generation equipment, tidal power generation equipment, solar power generation equipment, hydropower generation equipment, geothermal power generation equipment, and thermal power generation equipment installed on the ground.

[0277] (6-4. Application Example 4)

[0278] As an example of the implementation, the measuring device 20 can perform various processes performed by the operator terminal 10.

[0279] (6-5. Application Example 5)

[0280] As an example of implementation, in the operator terminal 10, for cable monitoring processing, standard deviation, variance, mean, coefficient of variation, weighted average, median, mode, and other statistical methods (histograms, etc.) can be used as statistical processing to perform anomaly detection.

[0281] (6-6. Application Example 6)

[0282] As an example of implementation, in cable monitoring, operator terminal 10 can perform anomaly detection based on predictions made through approximate curves (e.g., regression curves) or machine learning.

[0283] (6-7. Application Example 7)

[0284] As an example of the implementation, in the cable monitoring process, the operator terminal 10 can perform anomaly detection not only for cables C that bundle optical fibers F and transmission lines L together, such as multi-core cables, but also for cables C in which optical fibers F and transmission lines L are close to each other.

[0285] [7. System]

[0286] Information including the processing flow, control flow, specific names, various data, and parameters shown in the above description and accompanying drawings can be changed arbitrarily, except in cases specifically described.

[0287] Furthermore, the structural elements of the devices illustrated are functional concepts and do not necessarily need to be physically arranged as shown. That is, the specific ways in which the devices are distributed or integrated are not limited to the illustrated representation. In other words, all or part of each device can be functionally or physically distributed / integrated in any unit according to various loads, usage conditions, etc.

[0288] Furthermore, all or any part of the processing functions performed by each device can be implemented by the CPU and the program parsed and executed by the CPU, or can be implemented as wired logic-based hardware.

[0289] [8. Hardware]

[0290] Next, an example of the hardware structure of the operator terminal 10 will be described. Other devices may also be configured with the same hardware structure. Figure 17 This is a diagram illustrating an example of the hardware structure involved in the implementation method. For example... Figure 17 As shown, the operator terminal 10 includes a communication device 10a, an HDD (Hard Disk Drive) 10b, a memory 10c, and a processor 10d. Additionally, Figure 17 The various parts shown are connected to each other via buses or the like.

[0291] Communication device 10a is a network interface card, etc., used for communication with other servers. HDD 10b is used for storage. Figure 2 The program or database that demonstrates the functional actions.

[0292] Processor 10d executes data by reading from HDD 10b, etc. Figure 2The illustrated processing units perform the same processing program and expand it into memory 10c, thereby enabling execution. Figure 2 The process operations of each function described herein. For example, this process performs the same functions as each processing unit of the operator terminal 10. Specifically, the processor 10d reads a program from the HDD 10b, etc., which has the same functions as the acquisition unit 15a, setting unit 15b, calibration unit 15c, monitoring unit 15d, etc. Then, the processor 10d executes the same process as the acquisition unit 15a, setting unit 15b, calibration unit 15c, monitoring unit 15d, etc.

[0293] As described above, the operator terminal 10 operates as a device for performing various processing methods by reading and executing the program involved in the embodiments. Furthermore, the operator terminal 10 can also read the program from a recording medium using a media reading device and execute the read program, thereby achieving the same function as in the embodiments described above. Moreover, the program involved in the embodiments is not limited to execution by the operator terminal 10. For example, the present invention can also be applied when other computers or servers execute the program, or when they cooperate in executing the program.

[0294] The program involved in the implementation can be distributed via networks such as the Internet. Furthermore, the program can be recorded on computer-readable recording media such as hard disks, floppy disks (FD), CD-ROMs, MO (Magneto-Optical disk), and DVDs (Digital Versatile Disc), and executed by a computer reading it from the recording medium.

[0295] [9. Other]

[0296] The following are some examples of combinations of publicly disclosed technical features.

[0297] (1) A monitoring device comprising: a storage unit; and a processor connected to the storage unit, the storage unit storing segment information representing a plurality of common segments of a cable connected between a plurality of devices and consisting of power transmission lines and optical fibers, the processor performing the following processing: acquiring measurement data representing the characteristics of the optical fibers of the cable; and monitoring the cable for the plurality of segments based on the measurement data and the segment information.

[0298] (2) Based on the monitoring device described in (1), the processor performs the following processing: correcting the measurement data for the plurality of sections; and using the corrected measurement data to detect anomalies in the cable.

[0299] (3) Based on the monitoring device described in (2), the processor performs the following processing: using the correction parameters of each point in the same section to correct the measurement data.

[0300] (4) Based on the monitoring device described in (3), the processor performs the following processing: by using the measurement data measured at each point in the same section and the correction parameters, it calculates the deviation value relative to the measurement data measured at each point, thereby correcting the measurement data.

[0301] (5) Based on the monitoring device described in (4), the processor performs the following processing: by statistically processing the measurement data measured at each point in the same section, the correction parameter is calculated.

[0302] (6) Based on the monitoring device described in (5), the processor performs the following processing: by statistically processing the measurement data measured at each point in the same section in the past, the correction parameter is calculated.

[0303] (7) Based on the monitoring device described in (5) or (6), the processor performs the following process: calculates the correction parameter by statistical processing that includes at least averaging processing.

[0304] (8) Based on the monitoring device described in any one of (1) to (7), the storage unit stores the following information: segment information set for each location including each point where the characteristics of two or more of the cables are within the specified range; segment information set for multiple locations including each point where the characteristics of one cable are within the specified range; or segment information set for each location including the equipment periphery and other points where two or more of the cables are connected.

[0305] (9) Based on the monitoring device described in any one of (1) to (8), the processor performs the following process: setting the multiple sections that are common to the current flowing through the transmission line, the heat dissipation of the cable, or the installation status of the cable as the state.

[0306] (10) Based on the monitoring device described in (9), the processor performs the following processing: based on the measurement data measured in the past, it sets the plurality of segments and stores them in the storage unit as segment information.

[0307] (11) Based on the monitoring device described in (9) or (10), the processor performs the following process: storing the segment information input by the user in the storage unit.

[0308] (12) Based on the monitoring device described in any of (1) to (11), the measured data is the temperature of the optical fiber.

[0309] (13) Based on the monitoring device described in any of (1) to (12), the measurement data is the attenuation of light in the optical fiber.

[0310] (14) Based on any of the monitoring devices described in (1) to (13), the plurality of devices are a plurality of power transmission devices.

[0311] (15) A monitoring method, wherein a monitoring device performs the following processing: acquiring measurement data representing the characteristics of an optical fiber of a cable connected between multiple devices and consisting of a power transmission line and the optical fiber; and monitoring the cable for any abnormalities in the multiple segments based on the measurement data and segment information representing the common state of the cable.

[0312] (16) A monitoring procedure that causes a monitoring device to perform the following processes: acquiring measurement data representing the characteristics of an optical fiber of a cable connected between multiple devices and consisting of a power transmission line and the optical fiber; and monitoring the cable for any abnormalities in the multiple segments based on the measurement data and segment information representing the common state of the cable.

Claims

1. A monitoring device, comprising: Storage department; and The processor, which is connected to the storage unit, The storage unit stores segment information representing the common state of multiple sections of the cable, which connects multiple devices and consists of power lines and optical fibers. The processor performs the following processing: Obtain measurement data representing the characteristics of the optical fiber in the cable; and Based on the measurement data and the segment information, the cable is monitored for each of the plurality of segments.

2. The monitoring device according to claim 1, wherein, The processor performs the following processing: The measurement data are corrected for each of the plurality of segments; and The cable is then tested using the corrected measurement data.

3. The monitoring device according to claim 2 The processor performs the following process: calibrating the measurement data using the calibration parameters of each point within the same segment.

4. The monitoring device according to claim 3, wherein, The processor performs the following process: by using the measurement data measured at each point in the same section and the correction parameters, it calculates the deviation value relative to the measurement data measured at each point, thereby correcting the measurement data.

5. The monitoring device according to claim 4, wherein, The processor performs the following processing: by statistically processing the measurement data measured at each point within the same segment, the correction parameter is calculated.

6. The monitoring device according to claim 5, wherein, The processor performs the following process: by statistically processing the measurement data measured at each point in the same segment in the past, the correction parameter is calculated.

7. The monitoring device according to claim 5, wherein, The processor performs the following process: calculating the correction parameter through statistical processing that includes at least averaging.

8. The monitoring device according to claim 1, wherein, The storage unit stores the following information: The segment information is set for each location including points where the characteristics of two or more of the cables are within the specified range; the segment information is set for each of multiple locations including points where the characteristics of one of the cables are within the specified range; or the segment information is set for each location including the periphery of the equipment connecting two or more of the cables and points outside the periphery of the equipment.

9. The monitoring device according to claim 1, wherein, The processor performs the following process: setting the states of the multiple sections that are common to the current flowing through the transmission line, the heat dissipation of the cable, or the cable installation status.

10. The monitoring device according to claim 9, wherein, The processor performs the following process: based on the previously measured measurement data, it sets the plurality of segments and stores them as segment information in the storage unit.

11. The monitoring device according to claim 9, wherein, The processor performs the following process: storing the segment information input by the user in the storage unit.

12. The monitoring device according to any one of claims 1 to 11, wherein, The measured data is the temperature of the optical fiber.

13. The monitoring device according to any one of claims 1 to 11, wherein, The measured data is the light attenuation of the optical fiber.

14. The monitoring device according to any one of claims 1 to 11, wherein, The multiple devices are multiple power transmission devices.

15. A monitoring method, wherein, The monitoring device performs the following processing: Obtain measurement data representing the characteristics of the optical fiber in the cable, which connects multiple devices and consists of transmission lines and the optical fiber; and Based on the measured data and segment information of multiple common sections representing the state of the cable, the cable is monitored for any abnormalities in the multiple sections.

16. A computer-readable recording medium containing a monitoring program. The monitoring program causes the monitoring device to perform the following processing: Obtain measurement data representing the characteristics of the optical fiber in the cable, which connects multiple devices and consists of transmission lines and the optical fiber; and Based on the measured data and segment information of multiple common sections representing the state of the cable, the cable is monitored for any abnormalities in the multiple sections.

Images