Equipment monitoring system and equipment monitoring method

Abstract

The present invention appropriately estimates the degree of progression of equipment fouling. An equipment monitoring system is configured to include an optical analysis unit and an information processing device, acquires, by means of distributed acoustic sensing (DAS), a vibration intensity for each frequency of an optical fiber installed along a power transmission line at measurement points set along the optical fiber, and acquires information relating to corona noise at the measurement points on the basis of the vibration intensity for each frequency. The information relating to corona noise is information indicating the vibration intensity at a frequency specific to the corona noise. Furthermore, the frequency specific to the corona noise is the frequency of a corona sound or the frequency of a corona humming sound. The equipment monitoring system stores corona noise / fouling information, which indicates the relationship between the information relating to corona noise and the fouling state of the power transmission line, and acquires information indicating the fouling state of power transmission equipment by comparing the information relating to corona noise acquired at the measurement points with the corona noise / fouling information.

Description

Facility monitoring system and facility monitoring method

[0001] The present invention relates to a facility monitoring system and a facility monitoring method.

[0002] Patent Document 1 describes an abnormality detection device that acquires backward Rayleigh scattered light from an optical fiber composite overhead ground wire (OPGW) provided in a power transmission facility, generates vibration information for a frequency range including the natural frequency of the optical fiber composite overhead ground wire based on the acquired backward Rayleigh scattered light, and detects abnormalities in the power transmission facility based on the generated vibration information.

[0003] Non-Patent Document 1 describes the development of technology to reduce both corona noise and wind noise (development of a low-noise spiral wire (superhydrophilic spiral wire)). The document also describes the relationship between the wettability of the conductor surface of an extra-high voltage AC overhead transmission line and corona noise.

[0004] Non-Patent Document 2 describes the relationship between corona noise and the state of contamination of insulators (light contamination, heavy contamination).

[0005] Non-Patent Document 3 describes a paint that can help prevent salt damage.

[0006] Japanese Patent Application Laid-Open No. 2023-50257

[0007] "Method for Reducing Corona Noise from Power Lines Using Superhydrophilic Spiral Wires," Miyajima Kiyotomi, Electric Power Engineering Research Institute, [online], Internet <URL: https: / / criepi.denken.or.jp / intro / nenpo / 2006 / 06kiban17.pdf>, accessed September 14, 2023; "Measures to Reduce Corona Noise from Contaminated Insulators," Energia Research Institute Review No. 51, page 10, Power Transmission and Distribution Company, Technology Advancement Group, Kodama Ken, Chugoku Electric Power Co., Inc., [online], Internet <URL: https: / / www.energia.co.jp / eneso / kankoubutsu / review / no51 / pdf / 51_p10_11.pdf>, accessed September 14, 2023; "Corrosion is progressing more than expected. Could salt damage be the cause?" ", KANSAI PAINT INSIGHTS, Kansai Paint, [online], Internet <URL: https: / / www.kansai.co.jp / insights / article / 001.html>, retrieved September 14, 2023

[0008] When equipment such as steel towers that support power lines become polluted by salt damage, the surface paint peels off, exposing the steel base, causing rust to form and reducing the thickness of the components, eventually resulting in a lack of strength and the need to replace the parts. For this reason, such equipment is regularly painted to prevent rust.

[0009] The degree of contamination (corrosion) of equipment varies depending on the environment the equipment is in. Therefore, for example, a contamination classification (contamination level) indicating the degree of contamination is set for each piece of equipment, and the timing of applying anti-rust coating to each piece of equipment is determined according to the contamination classification, thereby reducing maintenance costs.

[0010] However, the environments and situations to which each piece of equipment is exposed are diverse, such as differences in the distance from the coast / riverbank to the equipment, differences in the distance from facilities (factories, etc.) around the equipment, and differences in wind conditions to which the equipment is exposed.In addition, as described in Non-Patent Document 3, for example, contamination can progress rapidly even in places far from the coast / riverbank, and so a uniform classification by contamination category does not necessarily allow for an accurate estimation of the degree of contamination of each piece of equipment.

[0011] Additionally, attempts have been made to estimate the degree of contamination by simulating the airflow around the equipment to estimate the amount of substances that cause contamination to spread, but at present, significant results have not necessarily been obtained.

[0012] The present invention has been made in view of the above background, and aims to provide an equipment monitoring system and an equipment monitoring method that are capable of appropriately estimating the degree of progress of equipment contamination.

[0013] One means for solving the above problem is an equipment monitoring system that includes an optical analysis unit and an information processing device, and acquires, by Distributed Acoustic Sensing (DAS), the vibration intensity for each frequency of an optical fiber at a measurement point set along the optical fiber installed along a power transmission line, and acquires information about the corona noise at the measurement point based on the vibration intensity of a frequency specific to corona noise that is included in the vibration intensity for each frequency.

[0014] Here, the information about the corona noise is, for example, information indicating the vibration intensity of a frequency specific to the corona noise. The frequency specific to the corona noise is the frequency of the corona sound or the frequency of the corona hum.

[0015] The equipment monitoring system also stores corona noise / pollution information, which is information showing the relationship between information about corona noise and pollution information, which is information showing the pollution status of the power transmission equipment, and by comparing the information about the corona noise acquired at the measurement point with the corona noise / pollution information, it obtains information showing the pollution status of the power transmission equipment located in the vicinity of the measurement point.

[0016] Other problems and solutions disclosed in the present application will be made clear in the detailed description and drawings.

[0017] According to the present invention, the degree of progress of contamination of equipment can be appropriately estimated.

[0018] FIG. 1 is a diagram showing a schematic configuration of an equipment monitoring system. FIG. 2 is a diagram explaining a mechanism for measuring vibration conditions using a DAS. FIG. 3 is an example of vibration strength for each frequency of an optical fiber. FIG. 4 is an example of temporal changes in vibration strength for each frequency of an optical fiber. FIG. 5 is a diagram showing the main configuration of an equipment condition measuring device. FIG. 6 is a diagram showing the main functions of an equipment condition measuring device. FIG. 7 is a flowchart explaining wind condition information provision processing. FIG. 8 is an example of a contamination condition presentation screen.

[0019] The present invention will be described below in accordance with one embodiment with reference to the accompanying drawings. At least the following matters will become clear from the description of this specification and the accompanying drawings. In the following description, the letter "S" added before a reference numeral means a processing step.

[0020] 1 shows a schematic configuration of an equipment monitoring system (hereinafter referred to as "equipment monitoring system 1") that will be described as one embodiment of the present invention. As shown in the figure, the equipment monitoring system 1 includes an equipment monitoring device 100 that is provided in a substation 6 or the like. The equipment monitoring device 100 is configured using an information processing device (computer).

[0021] The equipment monitoring device 100 uses an optical fiber 4a of an OPGW 4 (optical fiber composite overhead ground wire) installed on the power transmission line 3 as a vibration detection sensor, and acquires the vibration state at each of a plurality of measurement positions (hereinafter referred to as "measurement points") set along the optical fiber 4a by a technique (distributed acoustic sensing (DAS)) that measures the vibration state (vibration intensity, vibration frequency) based on the expansion and contraction of the optical fiber 4a at each of the measurement points. The DAS acquires the vibration state at each measurement point by, for example, the principle of a C-OTDR (Coherent detection Optical Time Domain Reflectometer).

[0022] FIG. 2 illustrates how the equipment monitoring device 100 measures the vibration state at each measurement point using a DAS. As shown in the figure, the equipment monitoring device 100 emits a light pulse (laser pulse, hereinafter also referred to as "incident light") through the end face of the optical fiber 4a and measures the rate of change (≈stretching frequency) of the phase difference of the backscattered light of the light pulse at each measurement point. The phase difference is estimated from the intensity change due to interference between the backscattered lights. Based on the measured rate of change, the equipment monitoring device 100 then determines the vibration frequencies (e.g., vibration frequencies in the range of up to 10 kHz) of the longitudinal and transverse waves of the optical fiber 4a at each measurement point. The equipment monitoring device 100 also determines the vibration intensity (spectral intensity, vibration amplitude) at each measurement point based on the phase difference for each vibration frequency. The equipment monitoring device 100 also determines the position (distance from the end face) of each measurement point based on the elapsed time between when the incident light is incident on the end face and when the returned light is received.

[0023] The measurement points are set, for example, along the optical fiber at predetermined intervals d (m) that are shorter than the span of the transmission tower 2 (0 (m), d (m), ..., N (m), N + d (m), N + 2 d (m)). For example, as shown in Figure 1, if the predetermined interval d is 5 (m) and measurement points are set over a maximum range of 70 (km) of the transmission line 3, approximately 14,000 measurement points will be set along the optical fiber.

[0024] The equipment monitoring device 100 acquires information about corona noise at each measurement point based on the vibration state at each measurement point. The vibration state includes the influence of external sound (sound pressure) on the optical fiber 4a. Specifically, the optical fiber 4a between adjacent transmission towers 2 (span) acts as a string with both ends fixed to the transmission towers 2, and resonates with external sound of a specific frequency, generating natural vibrations. For example, assuming a sound speed of 340 m / s, the length of the power transmission line 3 needs to be at least 1 / 2 the wavelength (= 340 m / s / 1 Hz) (= 170 m) to observe sound waves of 1 Hz or higher. Most power transmission lines 3 meet this condition.

[0025] Corona noise is generated by corona discharges occurring in the power transmission line 3. Corona noise includes irregular noise components (random noise) including audible frequency components, and power supply frequency and even multiple frequency components (pure tone components). The former power supply frequency components are called "corona noise." The latter pure tone components have a particularly high noise level (sound wave intensity) at frequencies twice the power supply frequency (50 Hz (eastern Japan region), 60 Hz (western Japan region)) (100 Hz (eastern Japan region), 120 Hz (western Japan region)), and are called "corona hum."

[0026] As described above, the vibration state of the optical fiber 4a is affected by the sound (sound pressure) received by the optical fiber 4a from the outside. Therefore, the vibration state of the optical fiber 4a at the measurement point contains information about the corona noise at the measurement point (sound volume, sound frequency components, etc.).

[0027] Furthermore, as described in Non-Patent Document 1 ("Method for Reducing Corona Noise on Power Lines Using Superhydrophilic Spiral Wires," Kiyotomi Miyajima, Electric Power Engineering Research Institute, [online], Internet <URL: https: / / criepi.denken.or.jp / intro / nenpo / 2006 / 06kiban17.pdf>, searched on September 14, 2023), there is a certain correlation between corona noise and the wettability of the power transmission line 3, which affects the contamination of power transmission equipment.

[0028] Furthermore, Non-Patent Document 2 ("Measures to Reduce Corona Noise from Contaminated Insulators," Energia Research Institute Review No. 51, p. 10, Ken Kodama, Technology Advancement Group, Power Transmission and Distribution Company, Chugoku Electric Power Co., Inc., [online], Internet <URL: https: / / www.energia.co.jp / eneso / kankoubutsu / review / no51 / pdf / 51_p10_11.pdf>, searched September 14, 2023) describes a correlation between corona noise and the degree of contamination (light contamination, heavy contamination) of the insulators, which are one type of power transmission equipment installed on transmission tower 2.

[0029] Therefore, based on the information about corona noise, it is possible to obtain information about the contamination status of power transmission equipment located near the measurement point, such as the wettability of the power transmission line 3 and the contamination status of the insulators (hereinafter referred to as "contamination information"). Furthermore, based on the contamination information, it is possible to obtain information about the contamination status of other power transmission equipment located near the measurement point (for example, the support structure of the transmission tower 2 that supports the power transmission line 3 in the span where the measurement point is located).

[0030] 3A shows an example of the vibration intensity for each frequency of the optical fiber 4a measured at a measurement point on a span of the power transmission line 3 where corona noise is present. The horizontal axis of the graph shown in the figure is frequency (Hz), and the vertical axis is vibration intensity (arbitrary unit). The vibration intensity for each frequency shown in the figure is the time average of the vibration intensity for each frequency. The graph shown in the example shows peaks at frequencies characteristic of corona noise (corona sound, corona hum) (60 (Hz) corresponding to corona sound, and 120 (Hz) corresponding to corona hum).

[0031] 3B shows an example of the time variation of vibration intensity for each frequency of optical fiber 4a measured at a measurement point on a span of power line 3 where corona noise is present. In the illustrated graph, time flows from top to bottom on the page. The shades of color in the figure represent the vibration intensity (arbitrary units) for each frequency (the lighter the color, the greater the vibration intensity). In the illustrated graph, the color is lighter (the greater the vibration intensity) at a frequency characteristic of corona noise (60 Hz, which corresponds to corona sound) (corona hum (120 Hz)) is omitted in the figure).

[0032] The equipment monitoring device 100 acquires information about the corona noise at a measurement point based on the vibration state of the optical fiber 4a acquired at the measurement point. The equipment monitoring device 100 also stores the relationship between the corona noise and the contamination information of the power transmission equipment, and by comparing the acquired information about the corona noise at the measurement point with the relationship, it acquires information indicating the contamination status of the power transmission equipment located near the measurement point.

[0033] 4A is a diagram showing the main configuration of the equipment monitoring device 100. As shown in the figure, the equipment monitoring device 100 includes a processor 101, a main storage device 102 (memory), an auxiliary storage device 103 (external storage device), an input device 104, an output device 105, a communication device 106, and an optical analysis unit 107. These are communicatively connected via a bus, a communication cable, or the like. Note that all or part of the equipment monitoring device 100 may be realized using virtual information processing resources, such as a virtual server provided by a cloud system, for example.

[0034] The processor 101 is configured using, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), an FPGA (Field Programmable Gate Array), an ASIC (Application Specific Integrated Circuit), an AI (Artificial Intelligence) chip, etc.

[0035] The main memory device 102 is a memory device used when the processor 101 executes a program, and is, for example, a read-only memory (ROM), a random access memory (RAM), or a non-volatile memory (NVRAM).

[0036] The auxiliary storage device 103 is a device that stores programs and data, and can be configured, for example, with an SSD (Solid State Drive), a hard disk drive, or an optical storage device (CD (Compact Disc), DVD (Digital Versatile Disc), etc.). Programs and data can be read into the auxiliary storage device 103 from other information processing devices equipped with non-transitory recording media or non-transitory storage devices via a recording medium reading device or a communication device 106. The programs and data stored in the auxiliary storage device 103 are read into the main storage device 102 as needed.

[0037] The input device 104 is an interface that accepts input of information from the outside, and is, for example, a keyboard, a mouse, a touch panel, a voice input device, or the like.

[0038] The output device 105 is an interface that outputs various information such as processing progress and processing results to the outside. The output device 105 is, for example, a display device (liquid crystal monitor, LCD (Liquid Crystal Display) or the like) that visualizes the various information, a device that converts the various information into audio (audio output device (speaker or the like)), or a device that converts the various information into text (printer or the like). Note that, for example, the information processing device 10 may be configured to input and output information to and from other devices via the communication device 106.

[0039] The input device 104 and the output device 105 constitute a user interface that realizes interactive processing with the user (receiving information, providing information, etc.).

[0040] The communication device 106 is a device that realizes communication with other devices via a communication network (such as a local area network (LAN), a wide area network (WAN), the Internet, a public communication network, or a dedicated line). The communication device 106 is a wired or wireless communication interface that realizes communication with other devices via a communication medium, such as a network interface card (NIC), a wireless communication module, or a universal serial bus (USB) module.

[0041] The optical analyzing unit 107 is a device that measures the vibration state of a measurement point using a DAS and includes a vibration measuring device using a C-OTDR and a signal processing circuit. The optical analyzing unit 107 includes a CW (continuous wave) laser light source that generates an optical pulse (laser light) to be input to the end face of the optical fiber 4a, an optical pulse generator, an optical amplifier, optical devices (photodetector, optical interferometer), a signal processing circuit (phase calculation circuit, etc.), etc. The optical analyzing unit 107 and the optical fiber 4a are connected, for example, by optically connecting the output of the laser light source of the optical analyzing unit 107 to a connection port (socket) of the core wire of an OPGW installed in a substation. Therefore, the connection does not cause any impact on the power system, such as a power outage.

[0042] The equipment monitoring device 100 may be equipped with, for example, an operating system, a file system, a DBMS (DataBase Management System) (relational database, NoSQL, etc.), a KVS (Key-Value Store), etc.

[0043] The various functions of the equipment monitoring device 100 are realized by the processor 101 reading and executing programs stored in the main memory device 102, or by the hardware (FPGA, ASIC, AI chip, etc.) that constitutes the equipment monitoring device 100. The equipment monitoring device 100 stores various types of information (data), for example, as tables in a database or files managed by a file system.

[0044] 4B is a block diagram illustrating the main functions of the equipment monitoring device 100. As shown in the figure, the equipment monitoring device 100 includes the following functions: a memory unit 110, a vibration state measurement unit 120, a corona noise detection unit 130, a corona noise information acquisition unit 135, a contamination status determination unit 140, and a contamination status presentation unit 145.

[0045] Of the above functions, the storage unit 110 stores a vibration state for each measurement point 111, a model 112, corona noise information 113, corona noise / contamination information 114, and facility contamination information 115.

[0046] The vibration state measurement unit 120 measures the time change (time series data) of the vibration state (vibration intensity, vibration frequency) at each measurement point using the DAS, and manages the measurement results as the vibration state for each measurement point 111 .

[0047] The corona noise detection unit 130 determines whether or not corona noise is present at a measurement point or span based on the vibration state for each measurement point 111 (time-dependent changes in the vibration state at each measurement point). For example, the corona noise detection unit 130 determines that corona noise is present at a measurement point when at least one of the magnitudes of vibration intensity at frequencies corresponding to corona noise and corona hum noise, obtained from the information (graphs) shown in Figures 3A and 3B, exceeds a threshold value set for each of them.

[0048] Furthermore, the corona noise detection unit 130 stores, for example, a model (statistical model or machine learning model; hereinafter referred to as the "corona noise detection model 112A") that has learned the relationship between the vibration intensity pattern for each frequency (explanatory variable) and the presence or absence of corona noise (target variable), and determines the presence or absence of corona noise at the measurement point by inputting the vibration intensity pattern for each frequency obtained for the measurement point into the corona noise detection model 112A.

[0049] The corona noise detection unit 130 determines that corona noise is present in a span when it determines that corona noise is present at one or more measurement points set in the span, for example.

[0050] The corona noise information acquisition unit 135 acquires information about the corona noise at the measurement points and spans (such as the vibration intensity corresponding to corona sound and corona hum, and the vibration intensity of other frequencies originating from corona noise) based on the vibration state at each measurement point 111 (the change over time in the vibration state at each measurement point), and manages the acquired information as corona noise information 113.

[0051] For example, the corona noise information acquisition unit 135 stores a model (statistical model or machine learning model; hereinafter referred to as the "corona noise detection model 112B") that has learned the relationship between the vibration intensity pattern for each frequency (explanatory variable) and information about the corona noise (target variable), and inputs the vibration intensity pattern for each frequency acquired for the measurement point into the corona noise detection model 112B to acquire information about the corona noise at the measurement point and manages the acquired information as corona noise information 113 for each measurement point.

[0052] The contamination status determination unit 140 compares the corona noise information 113 stored in the memory unit 110 with corona noise / contamination information 114, which is information indicating the relationship between the characteristics of the corona noise (for example, the magnitude of the corona noise estimated from the vibration intensity of the corona sound and corona hum) and the contamination status of the power transmission equipment (for example, the relationship between the corona noise and the wettability of the power transmission line as described in Non-Patent Document 1, and the relationship between the corona noise and the contamination status of the insulator (the degree of contamination progress) as described in Non-Patent Document 2). By doing so, the contamination status determination unit 140 obtains information indicating the contamination status of the power transmission equipment located near the measurement point as contamination information, and manages the obtained contamination information as equipment contamination information 115.

[0053] In addition, the contamination status determination unit 140 determines whether or not inspection is required (the degree of contamination) for other transmission equipment located near the measurement point (for example, the support structure of the transmission tower 2 in the span where the measurement point is set) depending on the contamination status of the above-mentioned transmission equipment located near the measurement point (for example, if the degree of contamination of the transmission equipment (transmission line 3 or insulator) exceeds a predetermined threshold, it determines that the other transmission equipment requires inspection (the contamination may be progressing)), and manages the results as equipment contamination information 115.

[0054] The contamination status presentation unit 145 provides the user with the contents of the facility contamination information 115. For example, the contamination status presentation unit 145 displays the contents of the facility contamination information 115 on a display device via a user interface.

[0055] 5 is a flowchart illustrating the processing (hereinafter referred to as "equipment monitoring processing S500") performed by the equipment monitoring device 100. The equipment monitoring device 100 executes the equipment monitoring processing S500, for example, periodically or at any timing designated by the user. The equipment monitoring processing S500 will be described below with reference to FIG.

[0056] First, the vibration state measuring unit 120 selects one of the spans to be monitored (S511).

[0057] Next, the vibration state measurement unit 120 acquires the vibration state of each measurement point on the selected span using the DAS, performs a Fourier transform on the acquired vibration state of each measurement point, calculates the time average of the vibration intensity for each frequency at each measurement point, and manages it as the vibration state for each measurement point 111 (S512).

[0058] The subsequent processing from S513 to S517 is a loop process that is repeatedly performed by the equipment monitoring device 100 while sequentially selecting the vibration state of each measurement point of the currently selected span from the vibration state for each measurement point 111.

[0059] First, in S513, the equipment monitoring device 100 selects one of the measurement points of the currently selected span.

[0060] In S514, the corona noise detection unit 130 determines whether or not corona noise is present at the selected measurement point based on the vibration state for each frequency at that measurement point. If the corona noise detection unit 130 determines that corona noise is present at that measurement point (S514: Yes), the process proceeds to S515. On the other hand, if the corona noise detection unit 130 determines that corona noise is not present at that measurement point (S514: No), the process proceeds to S517.

[0061] In S515, the corona noise information acquisition unit 135 acquires information about the corona noise from the vibration state of the selected measurement point, and manages the acquired information as the corona noise information 113 of the measurement point.

[0062] In S516, the contamination status determination unit 140 determines the contamination status of the power transmission equipment (power transmission line 3, insulators, supports, etc.) located near the selected measurement point based on the corona noise information 113 and whether or not the power transmission equipment (supports, etc.) needs to be inspected, and manages the determination results as equipment contamination information 115.

[0063] In S517, the equipment monitoring device 100 determines whether there are any measurement points that have not been selected in S513. If there are any measurement points that have not been selected (S517: Yes), the process returns to S513. If all measurement points have been selected (S517: No), the process proceeds to S518.

[0064] In S518, the equipment monitoring device 100 determines whether there are any spans that have not been selected in S511. If there are any spans that have not been selected (S518: Yes), the process returns to S512. If all spans have been selected (S518: No), the process proceeds to S519.

[0065] In S519, the contamination status presentation unit 145 presents to the user the contents of the facility contamination information 115. This completes the facility monitoring process S500.

[0066] 6 shows an example of a screen (hereinafter referred to as a "defacement status presentation screen 600") that the defacement status presentation unit 145 generates and displays when presenting to the user the contents of the equipment defacement information 115. As shown in the figure, the defacement status presentation screen 600 shown in the figure has a display field 611 for the target period and a display field 612 for equipment defacement information.

[0067] Of these, the target period display field 611 displays the target period of the vibration state for each measurement point 111 used by the corona noise detection unit 130 to detect corona noise.

[0068] The equipment contamination information display field 612 displays the contents of the equipment contamination information 115. In this example, the contents of the equipment contamination information 115 are displayed in a table format consisting of a plurality of records each having items such as a span ID 1151, a transmission tower ID 1152, a measurement point ID 1153, a contamination status 1154, and whether or not inspection is required 1155.

[0069] The span ID 1151 stores a span ID that is an identifier of the span.

[0070] The transmission tower ID 1152 stores the identifiers (transmission tower IDs) of the two transmission towers 2 that make up the span (supporting both ends of the transmission line 3 in the span).

[0071] The measurement point ID 1153 stores a measurement point ID that is an identifier of a measurement point provided on the span.

[0072] The contamination status 1154 stores information indicating the contamination status of the power transmission equipment (supports, etc.) in the span as determined by the contamination status determination unit 140 (in this example, either "large," "medium," or "small").

[0073] The inspection necessity 1155 stores information indicating whether or not inspection of the power transmission equipment (supports, etc.) in the span is necessary (in this example, either "necessary" or "unnecessary").

[0074] =Effects, etc.= As described above, according to the facility monitoring system 1 of this embodiment, it is possible to obtain information about corona noise at a measurement point using a DAS.

[0075] Furthermore, the facility monitoring system 1 can acquire information indicating the contamination status of power transmission facilities located near the measurement points.

[0076] In addition, the equipment monitoring device 100 presents the contamination status presentation screen 600 to the user, so that the user can easily understand the contamination status of the power transmission equipment located near the measurement point by referring to the screen.

[0077] Furthermore, the user can grasp the contamination status of the power transmission equipment located near the measurement points for each measurement point (at intervals between measurement points).

[0078] In addition, users can identify transmission equipment that is located near highly wettable transmission lines 3 or insulators that are becoming increasingly dirty and are at risk of rapid progression of contamination, and can appropriately determine whether painting is necessary and the urgency of the process, allowing them to efficiently maintain and manage the transmission equipment.

[0079] The above-described embodiments are provided to facilitate understanding of the present invention and are not intended to limit the present invention. The present invention may be modified or improved without departing from the spirit thereof, and equivalents thereof are also included in the present invention.

[0080] For example, the corona noise information acquisition unit 135 may present the contents of the corona noise information 113 to the user via a user interface. In this case, the corona noise information acquisition unit 135 may receive from the user specifications such as the span, measurement point, and the period during which the vibration state at each measurement point 111 was acquired, and may present to the user information extracted from the corona noise information 113 in accordance with the received specifications.

[0081] Furthermore, for example, the facility monitoring device 100 may be provided with a user interface for accepting input and settings of the model 112 and the corona noise / pollution information 114 .

[0082] Furthermore, for example, the determination of the presence or absence of corona noise by the corona noise detection unit 130 and the acquisition of information about corona noise by the corona noise information acquisition unit 135 may be performed using a machine learning model that has been trained to output the presence or absence of corona noise and information about the corona noise as objective variables when feature quantities extracted by performing image recognition processing on the graphs (images) shown in Figures 3A and 3B are input as explanatory variables.

[0083] REFERENCE SIGNS LIST 1 Equipment monitoring system 2 Transmission tower 3 Power transmission line 4 OPGW 4a Optical fiber 100 Equipment monitoring device 107 Optical analysis unit 110 Storage unit 111 Vibration state at each measurement point 112 Model 113 Corona noise information 114 Corona noise / pollution information 115 Equipment pollution information 120 Vibration state measurement unit 130 Corona noise detection unit 135 Corona noise information acquisition unit 140 Pollution state determination unit S500 Equipment monitoring process 600 Pollution state presentation screen

Claims

1. An equipment monitoring system comprising an optical analysis unit and an information processing device, which acquires, by Distributed Acoustic Sensing (DAS), the vibration intensity for each frequency of an optical fiber at measurement points set along the optical fiber attached to a power transmission line, and acquires information related to corona noise at the measurement points based on the vibration intensity for each frequency.

2. An equipment monitoring system according to claim 1, wherein the information relating to corona noise is information indicating vibration intensity of a frequency specific to corona noise.

3. An equipment monitoring system according to claim 2, wherein the frequency characteristic of corona noise is a frequency of a corona sound or a frequency of a corona hum sound.

4. An equipment monitoring system as described in claim 1, which stores corona noise / pollution information that is information indicating the relationship between information related to the corona noise and the pollution status of the power transmission equipment, and obtains information indicating the pollution status of the power transmission equipment located in the vicinity of the measurement point by comparing the information related to the corona noise obtained at the measurement point with the corona noise / pollution information.

5. An equipment monitoring system according to claim 4, wherein the power transmission equipment existing in the vicinity of the measurement point is a power transmission line, and the information indicating the contamination state is the wettability of the power transmission line.

6. An equipment monitoring system according to claim 4, wherein the power transmission equipment present in the vicinity of the measurement point is an insulator, and the information indicating the contamination state is the contamination state of the insulator.

7. An equipment monitoring system according to claim 4, comprising a user interface that presents to a user information indicating the state of contamination of power transmission equipment located in the vicinity of the measurement point.

8. An equipment monitoring method comprising: an equipment monitoring system comprising an optical analysis unit and an information processing device, which acquires, by Distributed Acoustic Sensing (DAS), the vibration intensity for each frequency of an optical fiber at measurement points set along an optical fiber installed along a power transmission line, and which executes a step of acquiring information related to corona noise at the measurement points based on the vibration intensity for each frequency.

9. The equipment monitoring method according to claim 8, wherein the information relating to the corona noise is information indicating vibration intensity of a frequency specific to the corona noise.

10. The equipment monitoring method according to claim 9, wherein the frequency characteristic of corona noise is a frequency of a corona sound or a frequency of a corona hum sound.

11. An equipment monitoring method as described in claim 8, comprising the steps of: storing corona noise / pollution information, which is information indicating the relationship between the information related to the corona noise and the pollution status of the power transmission equipment; and acquiring information indicating the pollution status of the power transmission equipment located in the vicinity of the measurement point by comparing the information related to the corona noise acquired at the measurement point with the corona noise / pollution information.

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