Monitoring device, monitoring method, and monitoring program

Abstract

To improve the accuracy of cable monitoring. [Solution] The operator terminal 10 acquires measurement data showing the characteristics of the optical fiber of the cable C, which is a cable C connecting multiple wind turbines W and is composed of a power transmission line and an optical fiber. Based on the measurement data and section information indicating multiple cable sections corresponding to locations where the state of the cable C is common, the operator terminal 10 monitors the cable C for each of the multiple cable sections.

Description

Technical Field

[0001] The present disclosure relates to a monitoring device, a monitoring method, and a monitoring program.

Background Art

[0002] A multi-core cable (appropriately, "cable") is a power transmission cable that connects an offshore wind turbine (appropriately, "wind turbine") for offshore wind power generation (appropriately, "wind power generation") and is buried in the seabed. An operator who is an administrator of wind power generation measures the temperature at each point (e.g., every 1 m) of the multi-core cable and monitors the state of the cable based on the temperature change.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, with the above technology, it is difficult to improve the monitoring accuracy of the cable. For example, with the above technology, the amount of current flowing varies depending on the position of the cable, and the amount of heat generated at each point of the cable is different, so it is difficult to accurately monitor the cable.

[0005] The present disclosure has been made in view of the above, and an object thereof is to improve the monitoring accuracy of a cable.

Means for Solving the Problems

[0006] A monitoring device according to one embodiment of the present disclosure comprises a storage unit and a processor connected to the storage unit, wherein the storage unit stores section information indicating a plurality of sections of a cable connecting a plurality of facilities, the cable being composed of a power transmission line and an optical fiber, where the state of the cable is common; and the processor performs the following: acquire measurement data indicating the characteristics of the optical fiber of the cable, and monitor the cable for each of the plurality of sections based on the measurement data and the section information.

[0007] A monitoring method according to one embodiment of the present disclosure involves a monitoring device that acquires measurement data indicating the characteristics of optical fibers in a cable that connects a plurality of pieces of equipment and is composed of a power transmission line and optical fibers, and that monitors whether or not there is an abnormality in the cable for each of the plurality of sections based on the measurement data and section information indicating a plurality of sections in which the state of the cable is common.

[0008] A monitoring program according to one embodiment of the present disclosure causes a monitoring device to acquire measurement data indicating the characteristics of the optical fibers in a cable that connects a plurality of pieces of equipment and is composed of a power transmission line and an optical fiber, and to monitor whether there are any abnormalities in the cable for each of the plurality of sections based on the measurement data and section information indicating a plurality of sections in which the state of the cable is common. [Effects of the Invention]

[0009] According to this disclosure, there is an effect that the accuracy of cable monitoring can be improved. [Brief explanation of the drawing]

[0010] [Figure 1] This figure shows an example configuration and processing example of a cable monitoring system according to an embodiment. [Figure 2] This block diagram shows an example of the configuration of each device in the cable monitoring system according to the embodiment. [Figure 3]It is a diagram showing an example of a measurement data storage unit of an operator terminal according to an embodiment. [Figure 4] It is a diagram showing an example of a section information storage unit of an operator terminal according to an embodiment. [Figure 5] It is a diagram showing an example of a correction data storage unit of an operator terminal according to an embodiment. [Figure 6] It is a diagram showing an example of a monitoring result storage unit of an operator terminal according to an embodiment. [Figure 7] It is a diagram showing a specific example of section setting processing of a cable monitoring system according to an embodiment. [Figure 8] It is a diagram showing a specific example 1 of data correction processing of a cable monitoring system according to an embodiment. [Figure 9] It is a diagram showing a specific example 2 of data correction processing of a cable monitoring system according to an embodiment. [Figure 10] It is a diagram showing a specific example 3 of data correction processing of a cable monitoring system according to an embodiment. [Figure 11] It is a diagram showing a specific example of cable monitoring processing of a cable monitoring system according to an embodiment. [Figure 12] It is a flowchart showing an example of the overall flow of a cable monitoring system according to an embodiment. [Figure 13] It is a flowchart showing an example of the flow of setting management processing of a cable monitoring system according to an embodiment. [Figure 14] It is a flowchart showing an example of the flow of measurement management processing of a cable monitoring system according to an embodiment. [Figure 15] It is a flowchart showing an example of the flow of correction management processing of a cable monitoring system according to an embodiment. [Figure 16] It is a flowchart showing an example of the flow of monitoring management processing of a cable monitoring system according to an embodiment. [Figure 17] It is a diagram showing an example of a hardware configuration according to an embodiment.

Embodiments for Carrying Out the Invention

[0011] Hereinafter, a monitoring device, a monitoring method, and a monitoring program according to an embodiment of the present disclosure will be described in detail with reference to the drawings. Note that the present disclosure is not limited to the embodiments described below.

[0012] Hereinafter, the configuration and processing of the cable monitoring system 100 according to the embodiment, the configuration and processing of each device of the cable monitoring system 100, the flow of the processing of the cable monitoring system 100, and the effects of the embodiment will be described.

[0013] [1. Configuration and Processing of Cable Monitoring System 100] The configuration and processing of the cable monitoring system 100 according to the embodiment will be described with reference to FIG. 1. FIG. 1 is a diagram showing a configuration example and a processing example of the cable monitoring system 100 according to the embodiment. Hereinafter, a configuration example of the entire cable monitoring system 100, a processing example of the cable monitoring system 100, and the effects of the cable monitoring system 100 will be described.

[0014] In the embodiment, an example of monitoring a submarine cable in offshore wind power generation will be described, but the purpose of use, application field, etc. are not particularly limited. Also, "monitoring" shall include "diagnosis" for confirming the presence or absence of an abnormality of an object during an arbitrary period.

[0015] (1-1. Configuration Example of Entire Cable Monitoring System 100) The configuration example of the entire cable monitoring system 100 will be described. The cable monitoring system 100 is composed of an operator terminal 10, a measuring device 20, a wind turbine W, and a cable C. Here, the operator terminal 10 is communicably connected by wire or wirelessly via a predetermined communication network (not shown). Note that various communication networks such as the Internet and dedicated lines can be adopted for the predetermined communication network.

[0016] (1-1-1. Operator Terminal 10) The operator terminal 10 is an administrator terminal used by operator O, who is the manager of the wind power generation equipment. For example, the operator terminal 10 is installed on a ship, offshore equipment, or onshore equipment (e.g., a substation, monitoring center, etc.) and operated by operator O. Note that the cable monitoring system 100 shown in Figure 1 may include multiple operator terminals 10. Also, although the example in Figure 1 shows the operator terminal 10 being implemented as a desktop PC (Personal Computer), it may also be implemented as a notebook PC, smartphone, server device, cloud system, etc.

[0017] (1-1-2. Measuring device 20) The measuring devices 20 (20-1, 20-2, 20-3, ...) are devices that measure measurement data M indicating the characteristics of the optical fiber F that constitutes cable C. For example, the measuring device 20 is connected to the optical fiber F that constitutes cable C, and measures the temperature (°C) of the optical fiber F, the light attenuation (dB) of the optical fiber F, etc., as measurement data M. Here, the characteristics of the optical fiber F indicate the state of cable C in which the optical fiber F is installed, and are not limited to the temperature (°C) or light attenuation (dB) mentioned above, but indicate the general properties of the optical fiber F, such as its chemical properties, physical properties, and optical properties.

[0018] (1-1-3.Windmill W) The wind turbines W (W-1, W-2, W-3, ...) are wind power generation facilities that generate electricity using wind power. In the example in Figure 1, the wind turbines W are installed in the order of wind turbine W-1, wind turbine W-2, wind turbine W-3, ... from offshore to land, and each generates electricity A.

[0019] (1-1-4. Cable C) Cable C (C-1, C-2, C-3, ...) is a multicore cable composed of transmission lines L and optical fibers F, and is a power transmission cable connecting wind turbines W and substations. In the example in Figure 1, cable C is buried underwater in the following order: cable C-1 connecting wind turbines W-1 and W-2, cable C-2 connecting wind turbines W-2 and W-3, cable C-3 connecting wind turbine W-3, etc., and transmits the generated electricity A to onshore substations (not shown).

[0020] (1-2. Example of the overall processing of the cable monitoring system 100) An example of the overall processing of the cable monitoring system 100 is described below. Note that the processes in steps S1 to S4 below can be executed in a different order. Also, some of the processes in steps S1 to S4 below may be omitted.

[0021] (1-2-1. Cable section configuration process) Firstly, the operator terminal 10 sets a cable section CS (step S1). For example, the operator terminal 10 sets a cable section CS where the state of cable C is common. Here, a cable section CS indicates a location of cable C where the state of cable C (e.g., the amount of current flowing through the power line L, the heat dissipation status of cable C, the installation status of cable C, etc.) is common. The location of cable C is at least one arbitrary section in a single continuous cable C or multiple connected cable Cs, and includes multiple points P corresponding to measurement points by the measuring device 20. Furthermore, a cable section CS of cable C is one or more sections of cable C that are set automatically or manually based on the state of cable C.

[0022] At this time, the operator terminal 10 uses previously acquired measurement data MP, such as the temperature TP of the optical fiber F and the optical attenuation AR-P of the optical fiber F, to set up cable sections CS corresponding to locations where the current amount, heat dissipation status, and installation status of cable C are common. The operator terminal 10 also sets up cable sections CS for each of the multiple cables C (C-1, C-2, C-3, ...) connecting multiple wind turbines W (W-1, W-2, W-3, ...). Furthermore, the operator terminal 10 sets up cable sections CS for each of the multiple locations of cable C. In addition, the operator terminal 10 sets up cable sections CS for locations around the wind turbines W and locations outside the vicinity of the wind turbines W.

[0023] (1-2-2. Measurement data acquisition process) Secondly, the operator terminal 10 acquires measurement data M (step S2). For example, the operator terminal 10 acquires measurement data M-1 showing the characteristics of cable C-1 measured by measuring device 20-1, measurement data M-2 showing the characteristics of cable C-2 measured by measuring device 20-2, measurement data M-3 showing the characteristics of cable C-3 measured by measuring device 20-3, ... At this time, the operator terminal 10 acquires the temperature T of the optical fiber F, the optical attenuation AR of the optical fiber F, etc., as measurement data M.

[0024] In this case, the measuring device 20 can measure multiple points P on cable C. For example, the measuring device 20 can measure measurement data M-1, which represents the characteristics of cable C-1, and measurement data M-2, which represents the characteristics of cable C-2.

[0025] (1-2-3. Measurement Data Correction Processing) Thirdly, 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 a correction parameter CP based on the normalized value. Next, the operator terminal 10 determines the deviation value from the measurement data MP based on the correction parameter CP, and calculates the corrected measurement data M-DC. Here, the deviation value is a numerical value that indicates how far it is from a predetermined value, and is not particularly limited to, for example, a numerical value that indicates how far it is from the correction parameter CP. At this time, the operator terminal 10 may 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.

[0026] At this time, the operator terminal 10 can perform statistical processing in the measurement data correction process described above to identify abnormalities in cable C, i.e., singularities. Examples of statistical processing include, but are not limited to, standard deviation, variance, mean, coefficient of variation, weighted mean, median, median, other statistical methods (histogram, etc.), or combinations thereof. Furthermore, the operator terminal 10 can also calculate an approximation curve (regression curve) for the distance of cable C using the temperature T of optical fiber F, the attenuation AR of light from optical fiber F, etc., and identify singularities based on the calculated approximation curve. In calculating singularities, they are identified by determining the deviation value from a reference value obtained from the above statistical processing or approximation curve. An example of the deviation value calculation process is subtraction, but is not limited to.

[0027] (1-2-4. Cable monitoring process) Fourth, the operator terminal 10 monitors cable C (step S4). For example, the operator terminal 10 detects an abnormality in cable C if the corrected measurement data M-DC exceeds the upper threshold X. Also, the operator terminal 10 detects an abnormality in cable C if the corrected measurement data M-DC is below the lower threshold Y.

[0028] In this case, the operator terminal 10 can also notify operator O of an alarm. For example, if the corrected measurement data M-DC exceeds the upper threshold X or falls below the lower threshold Y, the operator terminal 10 will notify operator O of the detection of an abnormality in cable C by generating an alarm sound. In addition, the operator terminal 10 can perform linear prediction or machine learning-based prediction using past measurement data MP or corrected measurement data M-DC, and notify the operator of the future level of risk with an alarm or warning.

[0029] (1-3. Effects of the Cable Monitoring System 100) The following section will describe the overview and problems of the cable monitoring system 100-P related to the reference technology, and then explain the effects of the cable monitoring system 100.

[0030] (1-3-1. Overview of the 100-P Cable Monitoring System) In the cable monitoring system 100-P, operator O measures the temperature T at each point P (e.g., every 1m) of cable C and monitors cable C based on the temperature changes. Here, cable C generates heat due to increased electrical resistance when damaged. Also, cable C is cooled by seawater when exposed to the sea from underground where it is buried beneath the seabed. In other words, in the cable monitoring system 100-P, operator O monitors cable C based on the temperature changes described above.

[0031] (1-3-2. Problems with the 100-P Cable Monitoring System) In the cable monitoring system 100-P, operator O evaluates temperature changes at each point P on cable C when monitoring cable C. However, in reality, the amount of current flowing through cable C differs depending on its location, making it difficult to accurately monitor cable C.

[0032] For example, if cable C is connected to wind turbines W in a daisy-chain fashion, the amount of current flowing through cable C will differ depending on its location. Specifically, if cable C is connected from offshore to land in the order of wind turbines W-1, W-2, W-3, and a substation, then electricity A-1 generated by wind turbine W-1 flows between wind turbines W-1 and W-2, and electricity 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 will differ depending on its location. As a result, with the cable monitoring system 100-P, it is difficult for operator O to uniformly evaluate the temperature changes of cable C because the amount of heat generated differs depending on the location of cable C.

[0033] As described above, the cable monitoring system 100-P has the problem that it is difficult to improve the monitoring accuracy of cable C.

[0034] (1-3-3. Overview of Cable Monitoring System 100) The cable monitoring system 100 performs the following processes: First, the operator terminal 10 defines each section of cable C as a cable section CS according to its condition. Second, the operator terminal 10 corrects the measurement data M for each defined cable section CS based on the measurement data M, such as the temperature T of the optical fiber F and the optical attenuation AR of the optical fiber F, which are characteristics of cable C measured by the measuring device 20. Third, the operator terminal 10 monitors the cable section CS based on the measurement data M, such as the temperature T of the optical fiber F and the optical attenuation AR of the optical fiber F, and the corrected measurement data M-DC.

[0035] (1-3-4. Effects of the Cable Monitoring System 100) The cable monitoring system 100 has the following effects: Firstly, the cable monitoring system 100 improves the accuracy of cable condition evaluation by defining cable sections CS corresponding to locations where the condition of cable C is common. Secondly, the cable monitoring system 100 improves the accuracy of cable condition evaluation for each cable section CS by correcting the measurement data M for each defined cable section CS. Thirdly, the cable monitoring system 100 simplifies the definition of cable sections CS and improves the accuracy of cable condition evaluation by automatically setting cable sections CS using past measurement data MP.

[0036] Based on the above, the cable monitoring system 100 can improve the monitoring accuracy of cable C.

[0037] [2. Configuration and operation of each device in the cable monitoring system 100] Using Figure 2, the configuration and processing of each device in the cable monitoring system 100 shown in Figure 1 will be explained. Figure 2 is a block diagram showing an example of the configuration of each device in the cable monitoring system 100 according to the embodiment. Below, an example of the overall configuration of the cable monitoring system 100 according to the embodiment, an example of the configuration and processing of the operator terminal 10, and an example of the configuration and processing of the measuring device 20 will be explained.

[0038] (2-1. Example of the overall configuration of the cable monitoring system 100) Using Figure 2, an example of the overall configuration of the cable monitoring system 100 shown in Figure 1 will be explained. As shown in Figure 2, the cable monitoring system 100 consists of an operator terminal 10 and a measuring device 20. The operator terminal 10 is connected via a communication network N, which is implemented via the internet or a dedicated line. The operator terminal 10 and the measuring device 20 may also be in an integrated configuration.

[0039] (2-2. Example configuration and processing of operator terminal 10) An example of the configuration and processing of the operator terminal 10 will be explained using Figure 2. The operator terminal 10 has an input unit 11, an output unit 12, a communication unit 13, a storage unit 14, and a control unit 15.

[0040] (2-2-1. Input section 11) The input unit 11 is responsible for inputting various types of information into the operator terminal 10. For example, the input unit 11 can be implemented using a mouse, keyboard, touch panel, etc., and accepts various types of information input to the operator terminal 10.

[0041] (2-2-2. Output section 12) The output unit 12 is responsible for outputting various types of information from the operator terminal 10. For example, the output unit 12 is implemented using a display, speaker, etc., and outputs various types of information stored in the operator terminal 10.

[0042] (2-2-3. Communications Section 13) The communication unit 13 is responsible for data communication with other devices. For example, the communication unit 13 performs data communication with each communication device via a router or the like. The communication unit 13 can also perform data communication with terminals (not shown).

[0043] (2-2-4. Storage section 14) The storage unit 14 stores various information that the control unit 15 refers to when it operates, and various information acquired when the control unit 15 operates. The storage unit 14 is composed of a measurement data storage unit 14a, a section information storage unit 14b, a correction data storage unit 14c, and a monitoring result storage unit 14d. For example, the storage unit 14 stores section information I set for each location including each point P where the characteristics of two or more cables C are within a predetermined range, section information I set for multiple locations including each point P where the characteristics of one cable C are within a predetermined range, or section information I set for each location including each point P around and outside of equipment connecting two or more cables C. Here, the storage unit 14 can be implemented as, for example, a semiconductor memory element such as RAM (Random Access Memory) or flash memory, or a storage device such as a hard disk or optical disc. In the example in Figure 2, the storage unit 14 is installed inside the operator terminal 10, but it may be installed outside the operator terminal 10, or multiple storage units may be installed.

[0044] (2-2-4-1. Measurement data storage unit 14a) 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, which will be described later. The measurement data M is the temperature T of the optical fiber F. The measurement data M is also the attenuation AR of the light from the optical fiber F.

[0045] Here, an example of the data stored in the measurement data storage unit 14a will be explained using Figure 3. Figure 3 is a diagram showing an example of the measurement data storage unit 14a of the operator terminal 10 according to the embodiment. In the example in Figure 3, the measurement data storage unit 14a has items such as "cable", "measurement point", "temperature", and "attenuation".

[0046] "Cable" refers to identification information for identifying the cable C to be monitored, for example, the identification number or symbol of a multicore cable, which is a submarine cable connecting wind turbines W of an offshore wind power generation facility. "Measurement point" refers to the measured point P of the cable C to be monitored, for example, a point P every 1m of cable C, expressed as a distance (m) from a predetermined starting point of cable C. "Temperature" refers to historical information of the measured temperature T of the cable C to be monitored, for example, time-series data of the temperature (°C) of the optical fiber F. "Attenuation" refers to historical information of the measured optical attenuation AR of the cable C to be monitored, for example, time-series data of the optical attenuation (dB) of the optical fiber F.

[0047] In other words, Figure 3 shows an example in which measurement data M, indicated by {measurement point: "MP101", temperature: "T101", attenuation: "AR101"}, {measurement point: "MP102", temperature: "T102", attenuation: "AR102"}, {measurement point: "MP103", temperature: "T103", attenuation: "AR103"}, ... is stored in the measurement data storage unit 14a for cable C-1, identified as cable "C001".

[0048] (2-2-4-2. Section Information Storage Unit 14b) The section information storage unit 14b stores section information I. For example, the section information storage unit 14b stores multiple cable sections CS set by the setting unit 15b of the control unit 15 (described later) as section information I. The section information storage unit 14b also stores multiple cable sections CS input by the operator O via the input unit 11 as section information I. The section information storage unit 14b also stores section information I indicating multiple cable sections CS corresponding to locations where the state of cable C, which connects multiple pieces of equipment and is composed of a power transmission line L and an optical fiber F, is common. The section information storage unit 14b also stores section information I indicating multiple cable sections CS set for each of the multiple cables C connecting multiple pieces of equipment. The section information storage unit 14b also stores section information I indicating multiple cable sections CS set for each of the multiple locations of cable C. The section information storage unit 14b also stores section information I indicating multiple cable sections CS set for locations around and outside of the equipment connecting multiple cables C. The multiple pieces of equipment are, for example, multiple power transmission equipment. Furthermore, multiple facilities include, for example, offshore wind power generation facilities that include multiple wind turbines.

[0049] Here, an example of the data stored in the section information storage unit 14b will be explained using Figure 4. Figure 4 is a diagram showing an example of the section information storage unit 14b of the operator terminal 10 according to this embodiment. In the example in Figure 4, the section information storage unit 14b has items such as "cable", "measurement point", and "cable section".

[0050] "Cable" refers to identification information for identifying the cable C to be monitored, such as the identification number or symbol of a multi-core cable, which is a submarine cable connecting wind turbines W of an offshore wind power generation facility. "Measurement point" refers to the measured point P of the cable C to be monitored, such as points P every 1m of cable C, expressed as a distance (m) from a predetermined starting point of cable C. "Cable section" refers to multiple sections corresponding to locations where the condition of the cable C to be monitored is common, such as cable section CS set according to locations where the current amount, heat dissipation status, installation status, etc. of cable C are common, or cable section CS set for each of the multiple cables C (C-1, C-2, C-3, ...) connecting multiple wind turbines W (W-1, W-2, W-3, ...), cable section CS set for each of the multiple locations of cable C, or cable section CS set for locations around the wind turbine W and locations outside the wind turbine W.

[0051] In other words, Figure 4 shows an example in which section information I, indicated by {measurement point: "MP101", cable section: "CS001-A"}, {measurement point: "MP102", cable section: "CS001-B"}, {measurement point: "MP103", cable section: "CS001-B"}, ... is stored in the section information storage unit 14b for cable C-1, which is identified as cable "C001".

[0052] (2-2-4-3. Correction data storage unit 14c) The correction data storage unit 14c stores the correction parameters CP and the correction measurement data M-DC. For example, the correction data storage unit 14c stores the temperature correction parameter TP and the damping correction parameter ARP calculated by the correction unit 15c of the control unit 15 (described later) as the correction parameters CP. The correction data storage unit 14c also stores the correction temperature T-DC and the correction damping AR-DC calculated by the correction unit 15c of the control unit 15 (described later) as the correction measurement data M-DC.

[0053] Here, an example of the data stored in the correction data storage unit 14c will be explained using Figure 5. Figure 5 is a diagram showing an example of the correction data storage unit 14c of the operator terminal 10 according to the embodiment. In the example in Figure 5, the correction data storage unit 14c has items such as "cable", "measurement point", "temperature correction parameter", "corrected temperature", "attenuation correction parameter", and "corrected attenuation".

[0054] "Cable" refers to identification information for identifying the cable C to be monitored, for example, the identification number or symbol of a multicore cable, which is a submarine cable connecting wind turbines W of an offshore wind power generation facility. "Measurement point" refers to the measured point P of the cable C to be monitored, for example, a point P every 1m of cable C, expressed as a distance (m) from a predetermined starting point of cable C. "Temperature correction parameter" refers to a parameter for correcting the temperature T of the measured point P of the cable C to be monitored, for example, a temperature parameter (°C) calculated based on previously acquired temperature TP to correct for the temporal change in temperature T due to point P. "Corrected temperature" refers to the corrected temperature T-DC of the cable C to be monitored, for example, the corrected temperature (°C) of the optical fiber F. "Attenuation correction parameter" refers to a parameter for correcting the optical attenuation AR of the measured point P of the cable C to be monitored, for example, an attenuation parameter (dB) calculated based on previously acquired optical attenuation AR-P to correct for the temporal change in optical attenuation AR due to point P. "Corrected attenuation" refers to the corrected attenuation AR-DC, which is the corrected attenuation AR of the light in the monitored cable C. For example, it is the corrected attenuation (dB) of the optical fiber F.

[0055] In other words, Figure 5 shows an example in which, for cable C-1 identified as cable "C001", the correction parameter CP and correction measurement data M-DC indicated by {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"}, {measurement point: "MP103", temperature correction parameter: "TP103", correction temperature: "T103-DC", attenuation correction parameter: "ARP103", correction attenuation: "AR103-DC"}, ... are stored in the correction data storage unit 14c.

[0056] (2-2-4-4. Monitoring result storage unit 14d) The monitoring result storage unit 14d stores the monitoring result D. For example, the monitoring result storage unit 14d stores, as monitoring result D, whether or not there is an abnormality in cable C, which was monitored by the monitoring unit 15d of the control unit 15, which will be described later.

[0057] Here, an example of the data stored in the monitoring result storage unit 14d will be explained using Figure 6. Figure 6 is a diagram showing an example of the monitoring result storage unit 14d of the operator terminal 10 according to the embodiment. In the example in Figure 6, the monitoring result storage unit 14d has items such as "cable", "measurement point", "anomaly detection", and "degree of anomaly".

[0058] "Cable" refers to identification information for identifying the cable C to be monitored, such as the identification number or symbol of a multicore cable, which is a submarine cable connecting wind turbines W of an offshore wind power generation facility. "Measurement point" refers to the measured point P of the cable C to be monitored, such as points P every 1m of cable C, expressed as a distance (m) from a predetermined starting point of cable C. "Anomaly detection" indicates whether or not an anomaly was detected at point P of the cable C to be monitored, such as "○" for point P where an anomaly was detected and "-" for point P where no anomaly was detected. "Degree of anomaly" refers to the value at which the corrected measurement data M-DC is far from the anomaly threshold indicating an anomaly, such as "20℃" for the corrected temperature T-DC being far from the anomaly threshold, or "5dB" for the corrected attenuation AR-DC being far from the anomaly threshold, but is not particularly limited.

[0059] In other words, Figure 6 shows an example in which monitoring results D, indicated by {Measurement point: "MP101", Anomaly detected: "○", Anomaly degree: "AD101"}, {Measurement point: "MP102", Anomaly detected: "-", Anomaly degree: "AD102"}, {Measurement point: "MP103", Anomaly detected: "-", Anomaly degree: "AD103"}, ..., are stored in the monitoring result storage unit 14d for cable C-1, which is identified as cable "C001".

[0060] (2-2-5. Control Unit 15) The control unit 15 is responsible for controlling the entire operator terminal 10. The control unit 15 consists of an acquisition unit 15a, a setting unit 15b, a correction unit 15c, and a monitoring unit 15d. Here, the control unit 15 can be implemented by electronic circuits such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit), or by integrated circuits such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0061] (2-2-5-1. Acquisition part 15a) The acquisition unit 15a acquires various types of information. The acquisition unit 15a then stores the acquired information in the storage unit 14. The measurement data acquisition process (temperature acquisition process, attenuation acquisition process) will be described below.

[0062] (Measurement data acquisition process) The acquisition unit 15a performs measurement data acquisition processing. For example, the acquisition unit 15a acquires measurement data M that shows the characteristics of the optical fiber F of cable C. The acquisition unit 15a also acquires measurement data M measured by a measuring device 20 connected to the optical fiber F. The acquisition unit 15a also acquires measurement data M input by operator O via the input unit 11. The acquisition unit 15a also acquires measurement data M via the communication unit 13. At this time, the acquisition unit 15a can also acquire measurement data MP for a certain past period as measurement data M.

[0063] (Temperature acquisition process) The acquisition unit 15a performs a temperature acquisition process as part of the measurement data acquisition process. For example, the acquisition unit 15a acquires the temperature T of the optical fiber F of cable C as measurement data M. The acquisition unit 15a also acquires the temperature T measured by the measuring device 20 connected to the optical fiber F as measurement data M.

[0064] A specific example of the temperature acquisition process will be explained. Firstly, the acquisition unit 15a acquires the following as the temperature T measured by the measuring device 20-1 in cable C-1, which is identified as cable "C001": {measurement point: "MP101", temperature: "T101"}, {measurement point: "MP102", temperature: "T102"}, {measurement point: "MP103", temperature: "T103"}, ... Secondly, the acquisition unit 15a stores the acquired temperature T in the measurement data storage unit 14a.

[0065] (Attenuation acquisition process) The acquisition unit 15a performs attenuation acquisition processing as part of the measurement data acquisition process. For example, the acquisition unit 15a acquires the attenuation AR of the optical fiber F of cable C as measurement data M. The acquisition unit 15a also acquires the attenuation AR of the optical fiber measured by the measuring device 20 connected to the optical fiber F as measurement data M.

[0066] A specific example of the attenuation acquisition process will be explained. Firstly, the acquisition unit 15a acquires the following as the attenuation AR of light measured by the measuring device 20-1 in cable C-1, which is identified as cable "C001": {measurement point: "MP101", attenuation: "AR101"}, {measurement point: "MP102", attenuation: "AR102"}, {measurement point: "MP103", attenuation: "AR103"}, ... Secondly, the acquisition unit 15a stores the acquired attenuation AR of light in the measurement data storage unit 14a.

[0067] (2-2-5-2. Settings section 15b) The setting unit 15b sets various information. The setting unit 15b may store the set information in the storage unit 14. Alternatively, the setting unit 15b may refer to the information stored in the storage unit 14. The cable section setting process (current amount determination process, heat dissipation status determination process, installation status determination process) will be described below.

[0068] (Cable section configuration process) The setting unit 15b executes cable section setting processing. For example, the setting unit 15b sets up multiple cable sections CS based on previously measured measurement data MP and stores them in the section information storage unit 14b as section information I. The setting unit 15b also sets up multiple cable sections CS that share common conditions such as the amount of current flowing through the power line, the heat dissipation status of cable C, or the installation status of cable C. The setting unit 15b also sets up multiple cable sections CS based on previously measured measurement data MP and stores them in the section information storage unit 14b as section information I. The setting unit 15b also stores section information I input by the user, operator O, in the section information storage unit 14b.

[0069] A specific example of the cable section setting process will be described. Firstly, the setting unit 15b refers to the measurement data M stored in the measurement data storage unit 14a for cable C-1, identified as cable "C001", as follows: {Measurement point: "MP101", Temperature: "T101", Attenuation: "AR101"}, {Measurement point: "MP102", Temperature: "T102", Attenuation: "AR102"}, {Measurement point: "MP103", Temperature: "T103", Attenuation: "AR103"}, ... Secondly, the setting unit 15b refers to the following measurement data MP from the measurement data M for a certain period in the past (e.g., one day one week ago, one day one month ago, one day one year ago): {Measurement location: "MP101", Temperature: "T101-P", Attenuation: "AR101-P"}, {Measurement location: "MP102", Temperature: "T102-P", Attenuation: "AR102-P"}, {Measurement location: "MP103", Temperature: "T103-P", Attenuation: "AR103-P"}, ... Thirdly, the setting unit 15b compares at least one of the temperature TP value and the light attenuation AR-P value indicated by past measurement data MP at each point P, and sets multiple cable sections CS corresponding to locations where the characteristics of cable C are common, such as {measurement point: "MP101", cable section: "CS001-A"}, {measurement point: "MP102", cable section: "CS001-B"}, {measurement point: "MP103", cable section: "CS001-B"}, ... Fourthly, the setting unit 15b stores the set multiple cable sections CS as section information I in the section information storage unit 14b.

[0070] Here, the location where the characteristics of cable C are common is an interval that includes point P where past measurement data MP shows values ​​within a predetermined range, for example, an interval that includes point P where the temperature TP value is within a predetermined range, the light attenuation AR-P value is within a predetermined range, or both the temperature TP value and the light attenuation AR-P value are within a predetermined range.

[0071] (Current amount determination process) The setting unit 15b performs a current amount determination process as a cable section setting process. For example, the setting unit 15b sets up multiple cable sections CS corresponding to locations where the amount of current flowing through the power transmission line L is common. At this time, the setting unit 15b compares the temperature TP shown for one day one week ago as past measurement data MP, and if the temperature TP within a certain period is within a predetermined range, it determines that it is a location where the amount of current flowing through the power transmission line L is common (e.g., cable C connecting two identical wind turbines W). The setting unit 15b also compares the light attenuation AR-P shown for one day one week ago as past measurement data MP, and if the light attenuation AR-P within a certain period is within a predetermined range, it determines that it is a location where the amount of current flowing through the power transmission line L is common.

[0072] (Heat dissipation status determination process) The setting unit 15b performs a heat dissipation status determination process as part of the cable section setting process. For example, the setting unit 15b sets up multiple cable sections CS corresponding to locations where the heat dissipation status of cable C is common. At this time, the setting unit 15b compares the temperature TP shown for one day one month ago as past measurement data MP, and if the temperature TP within a certain period is within a predetermined range, it determines that the locations have common heat dissipation status (e.g., the type of soil in which the cable is buried, the type of covering material, etc.). The setting unit 15b also compares the light attenuation AR-P shown for one day one month ago as past measurement data MP, and if the light attenuation AR-P within a certain period is within a predetermined range, it determines that the locations have common heat dissipation status.

[0073] (Installation status determination process) The setting unit 15b performs an installation status determination process as part of the cable section setting process. For example, the setting unit 15b sets up multiple cable sections CS corresponding to locations where the installation status of cable C is common. At this time, the setting unit 15b compares the light attenuation AR-P shown for one day one year ago as past measurement data MP, and determines that the locations have common installation status (e.g., depth of burial, exposure to seawater, influence of ocean currents, etc.) if the light attenuation AR-P within a certain period is within a predetermined range. The setting unit 15b also compares the temperature TP shown for one day one year ago as past measurement data MP, and determines that the locations have common installation status if the temperature TP within a certain period is within a predetermined range.

[0074] (2-2-5-3. Correction section 15c) The correction unit 15c corrects various information. The correction unit 15c may store the corrected information in the storage unit 14. The correction unit 15c may also refer to the information stored in the storage unit 14. The measurement data correction process (temperature correction process, attenuation correction process) will be described below.

[0075] (Measurement data correction processing) The correction unit 15c performs measurement data correction processing. For example, the correction unit 15c corrects the measurement data M for each of the multiple cable sections CS. The correction unit 15c also corrects the measurement data M using correction parameters CP at each point P within the same cable section CS. Furthermore, the correction unit 15c corrects the measurement data M by calculating a deviation value from the measurement data M measured at each point P within the same cable section CS, using the measurement data M and correction parameters CP measured at each point P within the same cable section CS. The correction unit 15c also calculates the correction parameters CP by statistically processing the measurement data M measured at each point P within the same cable section CS. Here, the correction parameters CP are calculated from past measurement data MP using statistical processing such as standard deviation, variance, mean, coefficient of variation, weighted mean, median, median, and other statistical methods (histogram, etc.). The correction unit 15c also calculates the correction parameters CP by statistically processing measurement data MP that has been measured in the past at each point P within the same cable section CS. Furthermore, the correction unit 15c calculates the correction parameter CP by statistical processing including at least averaging. Here, averaging is a statistical processing that calculates an average such as an arithmetic mean or a geometric mean. The correction unit 15c also calculates the correction parameter CP by statistical processing that is one or more selected from the group consisting of mean, variance, and coefficient of variation. Furthermore, the correction unit 15c quantifies the influence of heat dissipation conditions, installation conditions, etc., using the correction parameter CP. The correction unit 15c also calculates the corrected measurement data M-DC by reflecting the correction parameter CP in the measurement data M. Alternatively, the correction unit 15c may calculate the corrected measurement data M-DC by reflecting numerical values ​​attributable to the current amount in the corrected measurement data M-DC for each point P within the cable section CS as a statistical processing, such as standard deviation, variance, mean, coefficient of variation, weighted average, median, median, or other statistical methods (histogram, etc.). Here, statistical processing refers to statistical methods used to examine the distribution of individual elements within a group and to quantitatively and uniformly clarify the trends and characteristics of that group.

[0076] (Temperature compensation processing) The correction unit 15c performs temperature correction processing as part of the measurement data correction process. For example, the correction unit 15c corrects the temperature T for each of the multiple cable sections CS. The correction unit 15c also corrects the temperature T using the temperature correction parameter TP at each point P within the same cable section CS. The temperature T is corrected by calculating a deviation value from the temperature T measured at each point P using the temperature T and temperature correction parameter TP measured at each point P within the same cable section CS. The correction unit 15c also 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 temperature TP using statistical processing such as standard deviation, variance, mean, coefficient of variation, weighted mean, median, median, and other statistical methods (histogram, etc.). The correction unit 15c also calculates the temperature correction parameter TP by statistically processing the temperature TP previously measured at each point P within the same cable section CS. Furthermore, the correction unit 15c calculates the temperature correction parameter TP by statistical processing including at least averaging. The correction unit 15c calculates the temperature correction parameter TP by statistical processing that is one or more selected from the group consisting of mean, variance, and coefficient of variation. Furthermore, the correction unit 15c quantifies the effects of heat dissipation conditions, installation conditions, etc., using the temperature correction parameter TP. The correction unit 15c also calculates the corrected temperature T-DC by reflecting the temperature correction parameter TP in the measured temperature T. Alternatively, the correction unit 15c may calculate a numerical value attributable to the current amount for each point P within the cable section CS as a statistical processing, using standard deviation, variance, mean, coefficient of variation, weighted average, median, median, or other statistical methods (histogram, etc.), and then calculate the corrected temperature T-DC by reflecting the numerical value attributable to the current amount in the corrected temperature T-DC.

[0077] A specific example of temperature correction processing will be described. Firstly, in cable C-1 identified as cable "C001", the correction unit 15c refers to {measurement point: "MP101", cable section: "CS001-A"}, {measurement point: "MP102", cable section: "CS001-B"}, and {measurement point: "MP103", cable section: "CS001-B"} as section information I stored in the section information storage unit 14b. Secondly, in cable C-1 identified as cable "C001", the correction unit 15c refers to {measurement point: "MP102", temperature: "T102"} and {measurement point: "MP103", temperature: "T103"}, which are the same cable section CS, as temperature T stored in the measurement data storage unit 14a. Thirdly, the correction unit 15c calculates "TA102~103," which is the average value of the temperatures "T102" and "T103" measured at measurement points "MP102" and "MP103." Fourthly, the correction unit 15c refers to {measurement point: "MP102", temperature correction parameter: "TP102"} and {measurement point: "MP103", temperature correction parameter: "TP103"} as temperature correction parameters TP stored in the correction data storage unit 14c in cable C-1, which is identified by cable "C001." Fifth, the correction unit 15c calculates the coefficient of variation using the average value "TA102~103" for the temperatures "T102" and "T103" measured at measurement points "MP102" and "MP103", and also determines the deviation values ​​for the temperature correction parameters "TP102" and "TP103", respectively, thereby calculating the corrected temperature T-DC as {measurement point: "MP102", corrected temperature: "T102-DC"} and {measurement point: "MP103", corrected temperature: "T103-DC"}. Sixth, the correction unit 15c stores the calculated corrected temperature T-DC in the correction data storage unit 14c.

[0078] (Attenuation correction processing) The correction unit 15c performs attenuation correction processing as a measurement data correction process. For example, the correction unit 15c corrects the optical attenuation AR for each of the multiple cable sections CS. The correction unit 15c also corrects the attenuation AR using the attenuation correction parameter ARP at each point P within the same cable section CS. The attenuation AR is corrected by calculating a deviation value from the attenuation AR measured at each point P using the attenuation AR and attenuation correction parameter ARP measured at each point P within the same cable section CS. The correction unit 15c also 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 the attenuation AR-P measured in the past, using statistical processing such as standard deviation, variance, mean, coefficient of variation, weighted mean, median, median, and other statistical methods (histogram, etc.). The correction unit 15c also calculates the attenuation correction parameter ARP by statistically processing the attenuation AR-P measured in the past at each point P within the same cable section CS. Furthermore, the correction unit 15c calculates the attenuation correction parameter ARP by statistical processing including at least averaging. The correction unit 15c calculates the attenuation correction parameter ARP by statistical processing that is one or more selected from the group consisting of mean, variance, and coefficient of variation. Furthermore, the correction unit 15c quantifies the effects of heat dissipation conditions, installation conditions, etc., using the attenuation correction parameter ARP. The correction unit 15c also calculates the corrected attenuation AR-DC by reflecting the attenuation correction parameter ARP in the measured attenuation AR. Alternatively, the correction unit 15c may calculate numerical values ​​attributable to the current amount for each point P within the cable section CS as a statistical processing, using standard deviation, variance, mean, coefficient of variation, weighted mean, median, median, and other statistical methods (histogram, etc.), and then calculate the corrected attenuation AR-DC by reflecting the numerical values ​​attributable to the current amount in the corrected attenuation AR-DC.

[0079] A specific example of attenuation correction processing will be described. Firstly, in cable C-2 identified as cable "C002", the correction unit 15c refers to {measurement point: "MP201", cable section: "CS002-C"}, {measurement point: "MP202", cable section: "CS002-C"}, and {measurement point: "MP203", cable section: "CS002-C"} as section information I stored in the section information storage unit 14b. Secondly, in cable C-2 identified as cable "C002", the correction unit 15c refers to {measurement point: "MP201", attenuation: "AR201"}, {measurement point: "MP202", attenuation: "AR202"}, and {measurement point: "MP203", attenuation: "AR203"}, which are the same cable section CS, as optical attenuation AR stored in the measurement data storage unit 14a. Thirdly, the correction unit 15c calculates "ARA201~203", which is the average value of the attenuations "AR201" to "AR203" measured at measurement points "MP201" to "MP203". Fourthly, the correction unit 15c refers to {measurement point: "MP201", attenuation correction parameter: "ARP201"}, {measurement point: "MP202", attenuation correction parameter: "ARP202"}, and {measurement point: "MP203", attenuation correction parameter: "ARP203"} as attenuation correction parameters ARP stored in the correction data storage unit 14c for cable C-2, which is identified as cable "C002". Fifth, the correction unit 15c calculates the coefficient of variation using the average value "ARA201~203" for the attenuations "AR201" to "AR203" measured at measurement points "MP201" to "MP203", and also determines the deviation values ​​for the attenuation correction parameters "ARP201" to "ARP203", thereby calculating the corrected attenuation AR-DC as {measurement point: "MP201", corrected attenuation: "AR201-DC"}, {measurement point: "MP202", corrected attenuation: "AR202-DC"}, and {measurement point: "MP203", corrected attenuation: "AR203-DC"}. Sixth, the correction unit 15c stores the calculated corrected attenuation AR-DC in the correction data storage unit 14c.

[0080] (2-2-5-4. Monitoring Department 15d) The monitoring unit 15d performs various monitoring tasks. The monitoring unit 15d may also store the output monitoring results D in the storage unit 14. The monitoring unit 15d may also refer to various information stored in the storage unit 14. The following describes the anomaly detection process (temperature anomaly detection process, attenuation anomaly detection process).

[0081] (Anomaly detection process) The monitoring unit 15d performs anomaly detection processing. For example, based on the measurement data M and section information I, the monitoring unit 15d monitors for the presence or absence of anomalies in the cable C for each of the multiple cable sections CS. The monitoring unit 15d also uses the corrected measurement data M-DC, which is the corrected measurement data M, to detect anomalies in the cable C. In this case, the monitoring unit 15d detects an anomaly in the cable C if the corrected measurement data M-DC exceeds the upper threshold X. The monitoring unit 15d also detects an anomaly in the cable C if the corrected measurement data M-DC is less than the lower threshold Y.

[0082] (Temperature anomaly detection process) The monitoring unit 15d performs a temperature anomaly detection process as an anomaly detection process. For example, the monitoring unit 15d monitors for the presence or absence of an anomaly in each of the multiple cable sections CS based on the temperature T and section information I. The monitoring unit 15d also detects an anomaly in cable C using the corrected temperature T-DC, which is the corrected temperature T. At this time, the monitoring unit 15d checks if the corrected temperature T-DC is above the upper temperature threshold X. T If the value exceeds the limit, an abnormality in cable C (e.g., damage to cable C) is detected. In addition, the monitoring unit 15d sets the correction temperature T-DC to the lower temperature threshold Y. T If the value is less than the specified value, an abnormality in cable C (e.g., exposure of cable C to the sea) is detected.

[0083] A specific example of temperature anomaly detection processing will be described. Firstly, the monitoring unit 15d refers to {measurement point: "MP101", cable section: "CS001-A"}, {measurement point: "MP102", cable section: "CS001-B"}, and {measurement point: "MP103", cable section: "CS001-B"} as section information I stored in the section information storage unit 14b for cable C-1 identified by cable "C001". Secondly, the monitoring unit 15d refers to {measurement point: "MP101", corrected temperature: "T101-DC"}, which is the same cable section CS, as the corrected temperature T-DC stored in the correction data storage unit 14c for cable C-1 identified by cable "C001". Thirdly, the monitoring unit 15d refers to, for example, when the corrected temperature: "T101-DC" is above the upper temperature threshold X T The system determines that the value is exceeded and detects that a temperature anomaly has occurred at the measurement point "MP101". Furthermore, the monitoring unit 15d determines, for example, that the corrected temperature "T101-DC" is the lower temperature threshold Y. T It determines that the value is less than the specified value and detects that a temperature anomaly has occurred at the measurement point "MP101". Fourth, the monitoring unit 15d stores the detected temperature anomaly {measurement point: "MP101", anomaly detected: "○", anomaly degree: "AD101"} as monitoring result D in the monitoring result storage unit 14d.

[0084] (Attenuation Anomaly Detection Process) The monitoring unit 15d performs attenuation anomaly detection processing as an anomaly detection process. For example, the monitoring unit 15d monitors for the presence or absence of anomalies in cable C for each of the multiple cable sections CS based on the optical attenuation AR and section information I. The monitoring unit 15d also detects anomalies in cable C using corrected attenuation AR-DC, which is the corrected optical attenuation AR. At this time, the monitoring unit 15d determines that the corrected attenuation AR-DC is equal to the upper attenuation threshold X AR If the value exceeds the limit, an abnormality in cable C (e.g., elongation of cable C) is detected. In addition, the monitoring unit 15d sets the corrected attenuation AR-DC to the lower attenuation threshold Y. AR If the value is less than the specified value, an abnormality in cable C (e.g., bending, deterioration, etc.) is detected.

[0085] A specific example of the attenuation anomaly detection process will be described. Firstly, in cable C-2 identified as cable "C002", the monitoring unit 15d refers to {measurement point: "MP201", cable section: "CS002-C"}, {measurement point: "MP202", cable section: "CS002-C"}, and {measurement point: "MP203", cable section: "CS002-C"} as section information I stored in the section information storage unit 14b. Secondly, in cable C-2 identified as cable "C002", the monitoring unit 15d refers to {measurement point: "MP201", correction attenuation: "AR201-DC"}, {measurement point: "MP202", correction attenuation: "AR202-DC"}, and {measurement point: "MP203", correction attenuation: "AR203-DC"}, which are the same cable section CS, as correction attenuation AR-DC stored in the correction data storage unit 14c. Thirdly, the monitoring unit 15d refers to, for example, the correction attenuation: "AR202-DC" when the upper attenuation threshold X AR It determines that the value is exceeded and detects that an attenuation anomaly has occurred at the measurement point "MP202". In addition, the monitoring unit 15d determines, for example, that the corrected attenuation: "AR202-DC" is at the lower attenuation threshold Y AR It determines that the value is less than the specified value and detects that an attenuation anomaly has occurred at the measurement point "MP202". Fourth, the monitoring unit 15d stores the detected attenuation anomaly {measurement point: "MP202", anomaly detected: "○", anomaly degree: "AD202"} as monitoring result D in the monitoring result storage unit 14d.

[0086] (2-3. Example configuration and processing of the measuring device 20) Using Figure 2, an example of the configuration and processing of the measuring device 20 will be explained. For example, the measuring device 20 is connected to the optical fiber F that constitutes cable C, and measures measurement data M that indicates the characteristics of the optical fiber F of cable C. The measuring device 20 also measures the temperature T at each point P of the optical fiber F of cable C as measurement data M. The measuring device 20 also measures the optical attenuation AR at each point P of the optical fiber F of cable C as measurement data M.

[0087] [3. Specific examples of each process of the cable monitoring system 100] Using Figures 7 to 11, specific examples of each process of the cable monitoring system 100 according to the embodiment will be described. In the following, specific examples of each process of the cable monitoring system 100 will be described, including specific examples of section setting processing, specific examples of data correction processing, and specific examples of cable monitoring processing.

[0088] (3-1. Specific Examples of Section Setting Processes) Using Figure 7, a specific example of the section setting process of the cable monitoring system 100 will be explained. Figure 7 is a diagram showing a specific example of the section setting process of the cable monitoring system 100 according to the embodiment. Below, an example of the configuration of a wind power generation facility will be described, followed by a description of the section setting process based on the temperature T of cable C, and the section setting process based on the attenuation AR of light.

[0089] (3-1-1. Example of wind power generation equipment configuration) As shown in the example in Figure 7, a wind power generation facility consists of multiple wind turbines W and multiple cables C connected together. In the example in Figure 7, the multiple wind turbines W 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 from offshore to land, transmitting the generated electricity A to a substation (not shown) on land. Furthermore, the multiple cables C are connected as follows: 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). In addition, the cables C are buried underground beneath the seabed, and some parts are exposed from underground to the sea at the locations where the wind turbines W are connected.

[0090] (3-1-2. Section setting process based on temperature T of cable C) The section setting process based on the temperature T of cable C will be explained. As shown in the example in Figure 7, the temperature T of cable C tends to be higher around the wind turbine W due to the influence of the wind turbine W equipment. Also, the temperature T of cable C tends to gradually increase in the order of cable C-1, cable C-2, cable C-3, and cable C-4 due to the increase in the amount of power as the generated electricity A is transmitted from offshore to land. In the cable monitoring system 100, the operator terminal 10 can collect past temperature TP, determine the differences in the characteristics of cable C according to the trend of temperature T, and set cable sections CS where the characteristics of cable C are common. Furthermore, the operator terminal 10 can also set cable sections CS where the characteristics of cable C are common, taking into consideration the trend of light attenuation AR, which will be described later. In addition, in the cable monitoring system 100, the operator O can determine the differences in the characteristics of cable C according to the trend of temperature T and input cable sections CS where the characteristics of cable C are common.

[0091] (3-1-3. Section setting process using light attenuation AR) This section describes the section setting process based on the optical attenuation AR of cable C. As shown in the example in Figure 7, the optical attenuation AR of cable C tends to gradually decrease in the order of cable C-4, cable C-3, cable C-2, and cable C-1 as you move from land to offshore. In the cable monitoring system 100, the operator terminal 10 collects past optical attenuation AR-P, determines the differences in the characteristics of cable C according to the trend of optical attenuation AR, and can set cable sections CS where the characteristics of cable C are common. Furthermore, the operator terminal 10 can also set cable sections CS where the characteristics of cable C are common, taking into account the aforementioned trend of temperature T. In addition, in the cable monitoring system 100, the operator O can determine the differences in the characteristics of cable C according to the trend of optical attenuation AR and input cable sections CS where the characteristics of cable C are common.

[0092] (3-2. Specific Examples of Data Correction Processing) Using Figures 8 to 10, we will explain specific examples of data correction processing for the cable monitoring system 100. Below, we will explain the data correction principle, followed by specific examples 1 to 3 of the data correction processing.

[0093] (3-2-1. Data Correction Principles) This section explains the data correction principle of the cable monitoring system 100. Below, we will explain the calculation principle of the correction parameter CP and the calculation principle of the correction measurement data M-DC.

[0094] (3-2-1-1. Calculation principle of the correction parameter CP) This section explains the calculation principle of the correction parameter CP for the cable monitoring system 100. Below, we will explain the calculation principle of the correction parameter CP, which is the correction value of the measurement data M of the cable C at each point P, and the correction measurement data M-DC.

[0095] (Correction parameter CP) The cable monitoring system 100 normalizes the variability of past measurement data MP at each point P using the coefficient of variation, a statistical processing technique. The system also calculates and records a correction parameter CP for each point P based on the normalized values ​​obtained using the coefficient of variation. Furthermore, the system normalizes the current measurement data M at each point P and reflects this in the correction parameter CP as appropriate.

[0096] (Corrected measurement data M-DC) The cable monitoring system 100 calculates and records corrected measurement data M-DC for each point P by determining the deviation value from the measurement data M within each point P based on the correction parameter CP.

[0097] (3-2-2. Specific Example of Data Correction Processing 1) Using Figure 8, we will explain a specific example of data correction processing for the cable monitoring system 100. Figure 8 is a diagram showing a specific example of data correction processing for the cable monitoring system 100 according to the embodiment. Below, we will explain the distribution of the actual temperature T as the distribution of measurement data M that shows the relationship between distance and time before performing the data correction processing.

[0098] Figure 8 is a graph showing the temperature T distribution of cables C connected to four wind turbines W-1 to W-4. The vertical axis of Figure 8 represents the time, which is the date and time the temperature T was measured, with newer data at the top and older data at the bottom. The horizontal axis of Figure 8 represents the distance d from a predetermined location P, which is the point where the temperature T of cable C was measured, with data closer to land on the right and data closer to sea on the left. In Figure 8, areas with darker shades indicate areas with high or low temperatures T.

[0099] Figure 8(a) shows the differences in characteristics at point P, i.e., noise caused by environmental influences such as geology, with the region corresponding to the location where cable C is buried on the seabed measuring a higher temperature T compared to other regions. Figure 8(b) shows the differences in characteristics such as power generation amount over time, i.e., noise caused by changes in power generation amount, with the central region measuring a higher temperature T compared to other regions, and the peripheral regions measuring a lower temperature T compared to other regions. Figure 8(c) shows the region corresponding to the locations where wind turbines W1 to W4 are installed, and the temperature is constant.

[0100] (3-2-3. Specific Example of Data Correction Processing 2) Using Figure 9, a specific example of data correction processing for the cable monitoring system 100 will be explained. Figure 9 is a diagram showing a specific example of data correction processing for the cable monitoring system 100 according to the embodiment.

[0101] Figure 9 is a graph showing the distribution of corrected temperature T-DC1 of cables C connected to four wind turbines W-1 to W-4, and is a graph after performing location correction to remove noise caused by differences in characteristics at location P. The vertical axis of Figure 9 shows the time, which is the date and time the temperature T was measured, with newer data at the top and older data at the bottom. The horizontal axis of Figure 9 shows the distance d from a predetermined location, which is the location P where the temperature T of cable C was measured, with data closer to land at the right and data closer to sea at the left. In Figure 9, areas with darker shades indicate areas with high temperature T or areas with low temperature T.

[0102] Figure 9 shows that noise caused by the differences in characteristics at point P, as shown in Figure 8(a), has been removed, and data correction processing has been performed between points P.

[0103] (3-2-4. Specific Example of Data Correction Processing 3) Using Figure 10, we will explain a specific example 3 of the data correction processing for the cable monitoring system 100. Figure 10 is a diagram showing a specific example 3 of the data correction processing for the cable monitoring system 100 according to the embodiment.

[0104] Figure 10 is a graph showing the distribution of corrected temperature T-DC2 of cables C connected to four wind turbines W-1 to W-4. This graph is after performing location correction to remove noise caused by differences in characteristics at point P, and further time correction to remove noise caused by differences in characteristics over time. The vertical axis of Figure 10 represents the date and time the temperature T was measured, with newer data at the top and older data at the bottom. The horizontal axis of Figure 10 represents the distance d from a predetermined location P, which is the point where the temperature T of cable C was measured, with data closer to land at the right and data closer to sea at the left. In Figure 10, darker areas indicate areas with high or low temperatures T.

[0105] Figure 10 shows that noise caused by differences in characteristics at point P, as shown in Figure 8(a), and noise caused by differences in characteristics over time, as shown in Figure 8(b), have been removed, indicating that data correction processing has been performed between points P. As shown by the dashed ellipse in Figure 10, the operator terminal 10 reduces noise by performing data correction processing, enabling it to detect temperature anomalies due to damage to cable C, etc., with higher accuracy.

[0106] (3-3. Specific Examples of Cable Monitoring Processes) Using Figure 11, a specific example of the cable monitoring process of the cable monitoring system 100 will be explained. Figure 11 is a diagram showing a specific example of the cable monitoring process of the cable monitoring system 100 according to the embodiment. Below, an example of the configuration of a wind power generation facility will be described, followed by a description of the cable monitoring process based on the temperature T of the cable C.

[0107] (3-3-1. Example of wind power generation equipment configuration) As shown in the example in Figure 11, a wind power generation facility consists of multiple wind turbines W and multiple cables C connected together. In the example in Figure 11, the multiple wind turbines W 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 from offshore to land, transmitting the generated electricity A to an onshore substation (not shown). In addition, the multiple cables C are connected as follows: 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).

[0108] At this time, the electricity A-1 flowing through cable C-1 transmits the electricity A generated by wind turbine W-1 to wind turbine W-2. 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. 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. 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).

[0109] (3-3-2. Cable monitoring process based on temperature T of cable C) As a cable monitoring process using measurement data M for cable C, we will explain the cable monitoring process using temperature T. In the example in Figure 11, abnormality detection of cable C is shown using a cable section CS set according to the location where the current amount of cable C is common. In the example in Figure 11, the operator terminal 10 obtains the temperature T of points P-1(1), P-1(2), and P-1(3) in cable C-1, which is the same cable section CS. The operator terminal 10 then detects that point P-1(1) is hot, while points P-1(2) and P-1(3) are at normal temperatures T in the same cable section CS, and determines that point P-1(1) is damaged because it is generating heat due to resistance caused by damage other than cable resistance. Similarly, the operator terminal 10 obtains the temperature T of points P-3(1), P-3(2), and P-3(3) in cable C-3, which is the same cable section CS. The operator terminal 10 then detects that in the same cable section CS, point P-3(3) is hot, while points P-3(1) and P-3(2) are at normal temperatures T, and determines that point P-3(3) is damaged because it is generating heat due to resistance caused by damage other than cable resistance.

[0110] (3-3-3. Others) In the example shown in Figure 11, an example was described using cable sections CS set according to locations where the amount of electricity A, i.e., current, flowing through cable C is common. However, cable sections CS may be set at multiple locations on the same cable C, or on multiple cables C. For example, in the example in Figure 11, the operator terminal 10 could set the cable section CS at point P-1(1) as "cable section 1" and the cable sections CS at points P-1(2) and P-1(3) as "cable section 2" because the soil geology where cable C-1 is buried is different. Also, in the example in Figure 11, the operator terminal 10 could set the cable sections CS at points P-1(3) and P-3(1) as "cable section 3" because cable C is exposed in the sea at points P-1(3) and P-3(1) due to its connection to the wind turbine W.

[0111] [4. Flow of each process in the cable monitoring system 100] The processing flow of the cable monitoring system 100 according to the embodiment will be explained using Figures 12 to 16. Below, the overall processing flow of the cable monitoring system 100 will be explained, followed by a description of each process: measurement management processing, setting management processing, correction management processing, and monitoring management processing.

[0112] (4-1. Overall processing of the cable monitoring system 100) The overall processing flow of the cable monitoring system 100 according to the embodiment will be explained using Figure 12. Figure 12 is a flowchart showing an example of the overall processing flow of the cable monitoring system 100 according to the embodiment. Note that the processes in steps S101 to S104 below can be executed in a different order. Also, some of the processes in steps S101 to S104 below may be omitted.

[0113] (4-1-1. Configuration Management Process) Firstly, the cable monitoring system 100 performs a setting management process (step S101). For example, the cable monitoring system 100 manages section information I, including cable sections CS, which are set according to the locations where the characteristics of cable C are common, by performing the processes described in steps S201 to S203.

[0114] (4-1-2. Measurement and Management Process) Secondly, the cable monitoring system 100 performs measurement management processing (step S102). For example, the cable monitoring system 100 manages measurement data M that indicates the characteristics of cable C by performing the processing described in steps S301 to S304.

[0115] (4-1-3. Correction Management Processing) Thirdly, the cable monitoring system 100 performs a correction management process (step S103). For example, the cable monitoring system 100 manages corrected measurement data M-DC, which is obtained by correcting the measurement data M, by performing the processes described in steps S401 to S404.

[0116] (4-1-4. Monitoring and Management Process) Fourth, the cable monitoring system 100 performs monitoring and management processing (step S104) and then terminates the process. For example, the cable monitoring system 100 manages monitoring results D, which indicate whether or not there is an abnormality in cable C, by performing the processes described in steps S501 to S503.

[0117] (4-2. Configuration Management Process) The flow of the configuration management process of the cable monitoring system 100 according to the embodiment will be explained using Figure 13. Figure 13 is a flowchart showing an example of the flow of the configuration management process of the cable monitoring system 100 according to the embodiment. Note that the processes in steps S201 to S203 below can be executed in a different order. Also, some of the processes in steps S201 to S203 below may be omitted.

[0118] (4-2-1. Measurement data reference processing) Firstly, 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 measuring device 20 for cable C.

[0119] (4-2-2. Section Setting Process) Secondly, the operator terminal 10 performs a section setting process (step S202). For example, the operator terminal 10 uses past measurement data MP, such as temperature TP and light attenuation AR-P, to set up multiple cable sections CS that share the same characteristics as cable C.

[0120] (4-2-3. Section Information Storage Process) Thirdly, the operator terminal 10 executes the section information storage process (step S203) and terminates the setting management process. For example, the operator terminal 10 stores the configured cable sections CS as section information I in the section information storage unit 14b.

[0121] (4-3. Measurement and Management Process) The flow of the measurement management process of the cable monitoring system 100 according to the embodiment will be explained using Figure 14. Figure 14 is a flowchart showing an example of the flow of the measurement management process of the cable monitoring system 100 according to the embodiment. Note that the processes in steps S301 to S304 below can be executed in a different order. Also, some of the processes in steps S301 to S304 below may be omitted.

[0122] (4-3-1. Measurement instruction processing) Firstly, the operator terminal 10 performs measurement instruction processing (step S301). For example, the operator terminal 10 sends a control signal to the measuring device 20 to perform measurement of the measurement data M of cable C.

[0123] (4-3-2. Measurement execution process) Secondly, the measuring device 20 performs a measurement execution process (step S302). For example, the measuring device 20 measures the temperature T and the optical attenuation AR of the connected optical fiber F as measurement data M.

[0124] (4-3-3. Measurement data acquisition process) Thirdly, the operator terminal 10 performs the measurement data acquisition process (step S303). For example, the operator terminal 10 acquires the current measurement data M or past measurement data MP measured by the measuring devices 20 (20-1, 20-2, 20-3, ...).

[0125] (4-3-4. Measurement data storage process) Fourth, the operator terminal 10 executes the measurement data storage process (step S304) and terminates the measurement management process. For example, the operator terminal 10 stores the acquired current measurement data M or past measurement data MP in the measurement data storage unit 14a.

[0126] (4-4. Correction Management Processing) The flow of the correction management process of the cable monitoring system 100 according to the embodiment will be explained using Figure 15. Figure 15 is a flowchart showing an example of the flow of the correction management process of the cable monitoring system 100 according to the embodiment. Note that the processes in steps S401 to S404 below can be executed in a different order. Also, some of the processes in steps S401 to S404 below may be omitted.

[0127] (4-4-1. Measurement data reference processing) Firstly, the operator terminal 10 performs measurement data reference processing (step S401). For example, the operator terminal 10 references the temperature T and light attenuation AR stored in the measurement data storage unit 14a.

[0128] (4-4-2. Section Information Reference Processing) Secondly, the operator terminal 10 performs section information reference processing (step S402). For example, the operator terminal 10 references the section information I stored in the section information storage unit 14b.

[0129] (4-4-3. Data Correction Processing) Thirdly, the operator terminal 10 performs data correction processing (step S403). For example, the operator terminal 10 corrects the measurement data M for each cable section CS indicated by the section information I and calculates the corrected measurement data M-DC.

[0130] (4-4-4. Correction Data Storage Process) Fourth, the operator terminal 10 executes the correction data storage process (step S404) and terminates the correction management process. For example, the operator terminal 10 stores the calculated correction measurement data M-DC in the correction data storage unit 14c.

[0131] (4-5. Monitoring and Management Processes) The flow of the monitoring and management process of the cable monitoring system 100 according to the embodiment will be explained using Figure 16. Figure 16 is a flowchart showing an example of the flow of the monitoring and management process of the cable monitoring system 100 according to the embodiment. Note that the processes in steps S501 to S503 below can be executed in a different order. Also, some of the processes in steps S501 to S503 below may be omitted.

[0132] (4-5-1. Correction Data Reference Processing) Firstly, the operator terminal 10 performs correction data reference processing (step S501). For example, the operator terminal 10 refers to the correction measurement data M-DC stored in the correction data storage unit 14c.

[0133] (4-5-2. Anomaly detection process) Secondly, the operator terminal 10 performs an anomaly detection process (step S502). For example, the operator terminal 10 detects an anomaly in cable C if the corrected measurement data M-DC exceeds the upper threshold X, or if the corrected measurement data M-DC is less than the lower threshold Y.

[0134] (4-5-3. Monitoring Result Storage Process) Thirdly, the operator terminal 10 executes the monitoring result storage process (step S503) and terminates the monitoring management process. For example, the operator terminal 10 stores the presence or absence of detected abnormalities as monitoring result D in the monitoring result storage unit 14d.

[0135] [5. Effects of the Embodiment] The effects of the embodiment will be described below. Effects 1 to 14 corresponding to the processing according to the embodiment will be described below.

[0136] (5-1. Effect 1) Firstly, in the process according to the embodiment, the operator terminal 10 stores section information I indicating multiple cable sections CS that share a common state in a cable C connecting multiple pieces of equipment, which consists of a power transmission line L and an optical fiber F. It acquires measurement data M indicating the characteristics of the optical fiber F of the cable C, and monitors the cable C for each of the multiple cable sections CS based on the measurement data M and the section information I. Therefore, this process can improve the accuracy of monitoring the cable C.

[0137] (5-2. Effect 2) Secondly, in the process according to the embodiment, the operator terminal 10 corrects the measurement data M for each of the multiple section CS and uses the corrected measurement data M to detect abnormalities in the cable C. Therefore, in this process, the monitoring accuracy of the cable C can be improved by correcting the measurement data M of the cable C for each of the multiple cable section CS.

[0138] (5-3. Effect 3) Thirdly, in the process according to the embodiment, the operator terminal 10 corrects the measurement data M using correction parameters CP at each point P within the same cable section CS. Therefore, in this process, the monitoring accuracy of cable C can be improved by correcting the measurement data M of cable C using correction parameters CP for each of the multiple cable sections CS.

[0139] (5-4. Effect 4) Fourth, in the process according to the embodiment, the operator terminal 10 corrects the measurement data M by calculating a deviation value from the measurement data M measured at each point P within the same cable section CS, using the measurement data M and correction parameter CP measured at each point P. Therefore, in this process, the monitoring accuracy of the cable C can be improved by correcting the measurement data M of the cable C for each of the multiple cable sections CS, taking into account the effects of heat dissipation, installation, season, current transmission, etc.

[0140] (5-5. Effect 5) Fifth, in the process according to the 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 process, the monitoring accuracy of cable C can be improved by correcting the measurement data M of cable C by calculating a correction parameter CP that takes into account the effects of heat dissipation, installation, and season.

[0141] (5-6. Effect 6) Sixth, in the process according to the embodiment, the operator terminal 10 calculates a correction parameter CP by statistically processing measurement data MP previously measured at each point P within the same cable section CS. Therefore, in this process, the monitoring accuracy of cable C can be improved by correcting the measurement data M of cable C by calculating a correction parameter CP that takes into account the influence of changes due to current transmission, etc.

[0142] (5-7. Effect 7) Seventh, in the process according to the embodiment, the operator terminal 10 calculates a correction parameter CP by statistical processing including at least averaging. Therefore, in this process, the monitoring accuracy of cable C can be improved by correcting the measurement data M of cable C using statistical processing including averaging.

[0143] (5-8. Effect 8) Eighth, in the process according to the embodiment, the operator terminal 10 stores section information I set for each location including each point P in two or more cables C where the characteristics of the optical fiber F are within a predetermined range, section information I set for multiple locations including each point P in one cable C where the characteristics of the optical fiber F are within a predetermined range, or section information I set for each location including each point P around and outside of equipment connecting two or more cables C. Therefore, in this process, the monitoring accuracy of the cable C can be improved by setting multiple cable sections CS for various locations.

[0144] (5-9. Effect 9) Ninth, in the process according to the embodiment, the operator terminal 10 sets multiple cable sections CS that share common characteristics such as the amount of current flowing through the power transmission line L, the heat dissipation status of cable C, or the installation status of cable C, as the state of cable C. Therefore, in this process, the monitoring accuracy of cable C can be improved by automatically setting cable sections CS that share common characteristics such as the amount of current flowing through cable C, the heat dissipation status, and the installation status.

[0145] (5-10. Effect 10) Tenth, in the process according to the embodiment, the operator terminal 10 sets up multiple cable sections CS based on previously measured measurement data MP and stores them in the section information storage unit 14b as section information I. Therefore, in this process, the monitoring accuracy of the cable C can be improved by automatically setting up multiple cable sections CS from past measurement data MP.

[0146] (5-11. Effect 11) Eleventh, in the process according to the embodiment, the operator terminal 10 stores the section information I input by the operator O in the section information storage unit 14b. Therefore, in this process, the monitoring accuracy of the cable C can be improved by manually setting multiple cable sections CS based on the operator O's empirical rules.

[0147] (5-12. Effect 12) Twelfth, in the process according to the embodiment, the measurement data M is the temperature T of the optical fiber F. Therefore, in this process, the accuracy of monitoring the cable C can be improved by using the temperature T of the optical fiber F as the measurement data M.

[0148] (5-13. Effect 13) Thirteenth, in the process according to the embodiment, the measurement data M is the attenuation AR of the optical fiber F. Therefore, in this process, the monitoring accuracy of the cable C can be improved by using the attenuation AR of the optical fiber F as the measurement data M.

[0149] (5-14. Effect 14) Fourteenth, in the process according to the embodiment, the multiple pieces of equipment are multiple power transmission equipment. Therefore, this process can improve the monitoring accuracy of the cables C that connect the power transmission equipment.

[0150] [6. Examples of applications of the embodiments] Examples of applications of the embodiment will be described below. Examples of applications 1 to 7 of the embodiment will be described below.

[0151] (6-1. Application Example 1) As an example of application of the embodiment, the equipment 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, and so on.

[0152] (6-2. Application Example 2) As an application example 2 of the embodiment, the equipment connected by cable C can also be applied to power transmission equipment such as tidal power generation equipment, solar power generation equipment, and hydroelectric power generation equipment installed on oceans, lakes, and rivers.

[0153] (6-3. Application Example 3) As an application example 3 of the embodiment, the equipment 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, hydroelectric power generation equipment, geothermal power generation equipment, and thermal power generation equipment installed on the ground.

[0154] (6-4. Application Example 4) As an application example 4 of the embodiment, the measuring device 20 is capable of performing various processes executed by the operator terminal 10.

[0155] (6-5. Application Example 5) As an application example 5 of the embodiment, the operator terminal 10 can perform anomaly detection for cable monitoring processing by employing statistical processing such as standard deviation, variance, mean, coefficient of variation, weighted mean, median, median, and other statistical methods (histogram, etc.).

[0156] (6-6. Application Example 6) As an application example 6 of the embodiment, the operator terminal 10 can perform anomaly detection as a cable monitoring process based on approximation curves (e.g., regression curves, etc.) or predictions made by machine learning.

[0157] (6-7. Application Example 7) As an application example 7 of the embodiment, the operator terminal 10 can perform abnormality detection not only for cables C that contain both optical fiber F and power transmission line L, such as multicore cables, but also when the optical fiber F and power transmission line L are in close proximity, as part of the cable monitoring process.

[0158] [7. System] Unless otherwise specified, the processing procedures, control procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed at will.

[0159] Furthermore, the components of each illustrated device are functionally conceptual and do not necessarily need to be physically configured as shown. In other words, the specific forms of distribution and integration of each device are not limited to those shown. That is, all or part of them can be functionally or physically distributed and integrated in any unit according to various loads and usage conditions.

[0160] Furthermore, each processing function performed by each device may be implemented, in whole or in part, by a CPU and a program executed for analysis by that CPU, or by hardware using wired logic.

[0161] [8. Hardware] Next, an example of the hardware configuration of the operator terminal 10 will be described. Note that other devices can also have a similar hardware configuration. Figure 17 shows an example of the hardware configuration according to this embodiment. As shown in Figure 17, the operator terminal 10 includes a communication device 10a, an HDD (Hard Disk Drive) 10b, memory 10c, and a processor 10d. Furthermore, the components shown in Figure 17 are interconnected by a bus or the like.

[0162] The communication device 10a is a network interface card or the like, and communicates with other servers. The HDD 10b stores programs and databases that operate the functions shown in Figure 2.

[0163] The processor 10d operates the processes that perform the functions described in Figure 2 by reading programs that perform the same processing as each processing unit shown in Figure 2 from the HDD 10b or the like and loading them into memory 10c. For example, this process performs the same functions as each processing unit in the operator terminal 10. Specifically, the processor 10d reads programs that have the same functions as the acquisition unit 15a, setting unit 15b, correction unit 15c, monitoring unit 15d, etc. from the HDD 10b or the like. Then, the processor 10d executes processes that perform the same processing as the acquisition unit 15a, setting unit 15b, correction unit 15c, monitoring unit 15d, etc.

[0164] Thus, the operator terminal 10 operates as a device that executes various processing methods by reading and executing the program according to the embodiment. The operator terminal 10 can also realize the same functions as the embodiment described above by reading the program from the recording medium using a media reader and executing the read program. It should be noted that the program according to the embodiment is not limited to being executed by the operator terminal 10. For example, this disclosure can be similarly applied when another computer or server executes the program, or when they cooperate to execute the program.

[0165] The program according to this embodiment can be distributed via a network such as the Internet. Furthermore, this program can be recorded on a computer-readable recording medium such as a hard disk, flexible disk (FD), CD-ROM, MO (Magneto-Optical disk), or DVD (Digital Versatile Disc), and executed by reading it from the recording medium by a computer.

[0166] [9. Other] Some examples of the combinations of technical features that will be disclosed are listed below.

[0167] (1) A monitoring device comprising a storage unit and a processor connected to the storage unit, wherein the storage unit stores section information indicating multiple sections of a cable connecting multiple pieces of equipment, the cable being composed of a power transmission line and an optical fiber, where the state of the cable is common; and the processor performs the following: acquiring measurement data indicating the characteristics of the optical fiber of the cable, and monitoring the cable for each of the multiple sections based on the measurement data and the section information.

[0168] (2) The monitoring device according to (1), wherein the processor performs the following: correcting the measurement data for each of the plurality of sections, and detecting an abnormality in the cable using the corrected measurement data.

[0169] (3) The monitoring device according to (2), wherein the processor performs the function of correcting the measurement data using correction parameters at each point within the same section.

[0170] (4) The monitoring device according to (3), wherein the processor performs the function of correcting the measurement data by calculating a deviation value from the measurement data measured at each point using the measurement data measured at each point within the same section and the correction parameter.

[0171] (5) The monitoring device according to (4), wherein the processor performs the calculation of the correction parameter by statistically processing the measurement data measured at each of the points in the same section.

[0172] (6) The monitoring device according to (5), wherein the processor performs the calculation of the correction parameter by statistically processing the measurement data previously measured at each point in the same section.

[0173] (7) The monitoring device according to (5) or (6), wherein the processor performs the calculation of the correction parameter by statistical processing including at least averaging.

[0174] (8) The monitoring device according to any one of (1) to (7), wherein the storage unit stores the section information set for each location including each point in two or more cables where the characteristics are within a predetermined range, the section information set for each of multiple locations including each point in one cable where the characteristics are within a predetermined range, or the section information set for each location including each point around equipment and other than the area around equipment connecting two or more cables.

[0175] (9) The monitoring device according to any one of (1) to (8), wherein the processor performs the action of setting the state to the amount of current flowing through the power line, the heat dissipation status of the cable, or the installation status of the cable in common to a plurality of sections.

[0176] (10) The monitoring device according to (9), wherein the processor performs the following actions: setting up the plurality of sections based on the measurement data measured in the past and storing them in the storage unit as section information.

[0177] (11) The monitoring device according to (9) or (10), wherein the processor performs the function of storing the section information entered by the user in the storage unit.

[0178] (12) The monitoring device according to any one of (1) to (11), wherein the measurement data is the temperature of the optical fiber.

[0179] (13) The monitoring device according to any one of (1) to (12), wherein the measurement data is the attenuation of light from the optical fiber.

[0180] (14) The plurality of equipment is a plurality of power transmission equipment, and the monitoring device is one of the items in (1) to (13).

[0181] (15) A monitoring method comprising: (15) a monitoring device that acquires measurement data indicating the characteristics of optical fibers in a cable that connects multiple pieces of equipment and is composed of a power transmission line and optical fibers; and (15) a monitoring device that, based on the measurement data and section information indicating multiple sections in which the state of the cable is common, monitors whether or not there is an abnormality in the cable for each of the multiple sections.

[0182] (16) A monitoring program that causes a monitoring device to perform the following actions: acquire measurement data indicating the characteristics of the optical fiber of a cable that connects multiple pieces of equipment and is composed of a power transmission line and an optical fiber; and monitor whether there is an abnormality in the cable for each of the multiple sections based on the measurement data and section information indicating multiple sections in which the state of the cable is common. [Explanation of Symbols]

[0183] 10 Operator terminals 10a Communication device 10b HDD 10c memory 10d processor 11 Input section 12 Output section 13 Communications Department 14 Storage section 14a Measurement data storage unit 14b Section Information Storage Unit 14c Correction data storage unit 14d Monitoring result storage unit 15 Control Unit 15a Acquisition part 15b Settings section 15c Correction section 15d Monitoring Department 20 Measuring devices 100 Cable Monitoring System N Communication Network O Operator

Claims

1. Memory unit and, A processor connected to the aforementioned storage unit, Equipped with, The aforementioned storage unit is A cable connecting multiple pieces of equipment, comprising a power transmission line and an optical fiber, stores section information indicating multiple sections of the cable whose state is common. The aforementioned processor, To obtain measurement data showing the characteristics of the optical fiber of the cable, Based on the measurement data and the section information, the cable is monitored for each of the multiple sections, A monitoring device that performs this task.

2. The aforementioned processor, The measurement data is corrected for each of the multiple sections, Using the corrected measurement data, an abnormality in the cable is detected, A monitoring device according to claim 1, which performs the following actions.

3. The aforementioned processor, Correcting the measurement data using correction parameters at each point within the same section. The monitoring device according to claim 2, which performs the following actions.

4. The aforementioned processor, The measurement data is corrected by calculating a deviation value from the measurement data measured at each point using the measurement data and correction parameters measured at each point within the same section. A monitoring device according to claim 3, which performs the following actions.

5. The aforementioned processor, The correction parameter is calculated by statistically processing the measurement data measured at each point within the same section. A monitoring device according to claim 4, which performs the following actions.

6. The aforementioned processor, The correction parameter is calculated by statistically processing the measurement data previously measured at each point within the same section. The monitoring device according to claim 5, which performs the following:

7. The processor calculates the correction parameter by statistical processing, which includes at least averaging. The monitoring device according to claim 5, which performs the following:

8. The aforementioned storage unit is The system stores section information set for each location including each point in two or more of the cables where the characteristics are within a predetermined range, section information set for multiple locations including each point in one of the cables where the characteristics are within a predetermined range, or section information set for each location including each point around equipment connecting two or more of the cables and each point outside of the equipment. The monitoring device according to claim 1.

9. The aforementioned processor, The aforementioned state involves setting up multiple sections that share common characteristics such as the amount of current flowing through the power transmission line, the heat dissipation status of the cable, or the installation status of the cable. A monitoring device according to claim 1, which performs the following actions.

10. The aforementioned processor, Based on the measurement data measured in the past, the plurality of sections are set and stored in the storage unit as section information. The monitoring device according to claim 9, which performs the following actions.

11. The aforementioned processor, To store the section information entered by the user in the storage unit, The monitoring device according to claim 9, which performs the following actions.

12. The measurement data is the temperature of the optical fiber. A monitoring device according to any one of claims 1 to 11.

13. The measurement data represents the attenuation of light from the optical fiber. A monitoring device according to any one of claims 1 to 11.

14. The aforementioned multiple facilities are multiple power transmission facilities. A monitoring device according to any one of claims 1 to 11.

15. The monitoring device, To obtain measurement data showing the characteristics of the optical fiber in a cable that connects multiple pieces of equipment and is composed of a power transmission line and an optical fiber, Based on the measurement data and section information indicating multiple sections where the cable condition is common, the presence or absence of abnormalities in the cable is monitored for each of the multiple sections. A monitoring method to perform.

16. In the monitoring device, To obtain measurement data showing the characteristics of the optical fiber in a cable that connects multiple pieces of equipment and is composed of a power transmission line and an optical fiber, Based on the measurement data and section information indicating multiple sections where the cable condition is common, the presence or absence of abnormalities in the cable is monitored for each of the multiple sections. A monitoring program that executes [something].

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