Leak detection system, leak detection device, leak detection method, and program

Abstract

To detect leakage of fluid flowing in a pipe without providing a dedicated sensor for detecting vibration of the pipe.SOLUTION: A leak detection system includes: a communication unit that transmits pulsed light to an optical fiber laid in a pipe through which a fluid flows and receives backscattered light from the optical fiber; a generation unit that generates audio data indicating a state of the fluid flowing through the pipe based on the backscattered light; and a detection unit that detects leakage of the fluid by analyzing the audio data.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present disclosure relates to a leakage detection system, a leakage detection device, a leakage detection method, and a program.

Background Art

[0002] In recent years, technologies for monitoring the state of pipes, for example, the presence or absence of leakage of a fluid flowing through the pipes, have been proposed (for example, Patent Document 1). According to the technology disclosed in Patent Document 1, in order to detect the vibration of a pipe, sensors such as a piezoelectric acceleration sensor, an electrodynamic acceleration sensor, a capacitance acceleration sensor, an optical velocity sensor, and a dynamic strain sensor are installed. Then, an analysis unit analyzes the state of the pipe based on the detection result of the vibration of the pipe.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the technology disclosed in Patent Document 1 requires a dedicated sensor for detecting the vibration of a pipe. Therefore, a technology that can detect the leakage of a fluid flowing through a pipe without providing a dedicated sensor for detecting the vibration of the pipe is desired.

[0005] Therefore, in view of the above problems, an object of the present disclosure is to provide a leakage detection system, a leakage detection device, a leakage detection method, and a program that can detect the leakage of a fluid flowing through a pipe without providing a dedicated sensor for detecting the vibration of the pipe.

Means for Solving the Problems

[0006] A leakage detection system according to one aspect includes a communication unit that transmits pulsed light to an optical fiber laid in a pipe through which a fluid flows and receives backscattered light from the optical fiber. The system also includes a generation unit that generates voice data indicating the state of the fluid flowing through the pipe based on the backscattered light. The system further includes a detection unit that detects leakage of the fluid by analyzing the voice data.

[0007] A leakage detection device according to one aspect includes a communication unit that transmits pulsed light to an optical fiber laid in a pipe through which a fluid flows and receives backscattered light from the optical fiber. The device also includes a generation unit that generates voice data indicating the state of the fluid flowing through the pipe based on the backscattered light. The device further includes a detection unit that detects leakage of the fluid by analyzing the voice data.

[0008] A leakage detection method according to one aspect is a leakage detection method executed by a leakage detection device, and includes transmitting pulsed light to an optical fiber laid in a pipe through which a fluid flows and receiving backscattered light from the optical fiber. The method also includes generating voice data indicating the state of the fluid flowing through the pipe based on the backscattered light. The method further includes detecting leakage of the fluid by analyzing the voice data.

[0009] A program according to one aspect causes a computer to execute procedures of transmitting pulsed light to an optical fiber laid in a pipe through which a fluid flows and receiving backscattered light from the optical fiber. The program also causes the computer to execute a procedure of generating voice data indicating the state of the fluid flowing through the pipe based on the backscattered light. The program further causes the computer to execute a procedure of detecting leakage of the fluid by analyzing the voice data.

Advantages of the Invention

[0010] According to the above aspect, an effect can be obtained that a leakage detection system, a leakage detection device, a leakage detection method, and a program capable of detecting leakage of fluid flowing through a pipe can be provided without providing a dedicated sensor for detecting vibration of the pipe.

Brief Description of Drawings

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Embodiments for Carrying Out the Invention

[0012] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Note that, for the sake of clarity of explanation, the following description and drawings are appropriately omitted and simplified. Also, in each of the following drawings, the same elements are denoted by the same reference numerals, and redundant explanations are omitted as necessary. Further, the specific numerical values and the like shown below are merely examples for facilitating the understanding of the present disclosure and are not limited thereto.

[0013] <Embodiment 1> First, with reference to FIG. 1, a configuration example of the leakage detection system 1 will be described. The leakage detection system 1 includes a leakage detection device 10. The leakage detection device 10 includes a communication unit 11, a generation unit 12, and a detection unit 13. For example, the functions of the communication unit 11 and the generation unit 12 can be realized by a sensing device such as a DFOS (Distributed Fiber Optic Sensing) device.

[0014] An optical fiber 20 is connected to the communication unit 11. The optical fiber 20 is laid along the longitudinal direction of the pipe 30 through which the fluid flows. In the example of FIG. 1, the optical fiber 20 is laid on the outer periphery of the pipe 30, but the laying method of the optical fiber 20 is not limited thereto.

[0015] The pipe 30 can be any pipe as long as it is a pipe through which the fluid flows. Also, the fluid flowing through the pipe 30 can be any of a liquid, a gas, or a solid. Also, the laying location of the pipe 30 can be any location such as on the ground, underground, on the ceiling, on the floor, or on the wall.

[0016] The communication unit 11 transmits pulsed light to the optical fiber 20. Then, as the pulsed light is transmitted through the optical fiber 20, backscattered light is generated. The communication unit 11 receives the backscattered light from the optical fiber 20.

[0017] Here, when fluid flows through the pipe 30, a sound is generated. This sound changes when the state of the fluid flowing through the pipe 30 changes. This change in the sound is transmitted to the optical fiber 20. As a result, the backscattered light transmitted through the optical fiber 20 changes in characteristics (e.g., wavelength).

[0018] Therefore, the generation unit 12 can generate voice data indicating the state of the fluid flowing through the pipe 30 based on the backscattered light received by the communication unit 11. This voice data is the data of the voice generated at the position where the backscattered light on the optical fiber 20 is generated, and specifically, it is the data indicating the change over time of the sound intensity of the voice.

[0019] Thus, the voice data generated by the generation unit 12 is data indicating the state of the fluid flowing through the pipe 30. Therefore, the detection unit 13 can determine whether the state of the fluid flowing through the pipe 30 has changed by analyzing the above-described voice data. Specifically, the detection unit 13 can determine whether the fluid flowing through the pipe 30 has leaked. Therefore, the detection unit 13 detects the leakage of the fluid flowing through the pipe 30 by analyzing the above-described voice data.

[0020] Here, in the analysis of the above-described voice data, the detection unit 13 may calculate an abnormal score rate corresponding to the deviation amount between the frequency component of the voice data and the frequency component of the normal voice data, and detect the leakage of the fluid flowing through the pipe 30 based on the change over time of the abnormal score rate. The details of the abnormal score rate will be described later.

[0021] Further, the detection unit 13 may hold a learning model that has learned in advance the correspondence between the change over time of the abnormal score rate and the presence or absence of leakage of the fluid flowing through the pipe 30. Then, the detection unit 13 may detect the leakage of the fluid flowing through the pipe 30 based on the change over time of the abnormal score rate and the above-described learning model.

[0022] Further, when the detection unit 13 detects the leakage of the fluid flowing through the pipe 30 by analyzing the above-described voice data, it may specify the position where the leakage has occurred. Here, the position where the leakage occurred corresponds to the position where the backscattered light that was the source of the above-described audio data was generated. For example, the detection unit 13 calculates the time difference between the time when the pulsed light is transmitted to the optical fiber 20 by the communication unit 11 and the time when the backscattered light is received from the optical fiber 20 by the communication unit 11. Then, based on the time difference, the detection unit 13 can specify the position where the backscattered light was generated (the distance of the optical fiber 20 from the communication unit 11).

[0023] Subsequently, with reference to FIG. 2, an operation example of the leakage detection system 1 will be described. First, the communication unit 11 transmits pulsed light to the optical fiber 20 and receives backscattered light from the optical fiber 20 (step S11).

[0024] Next, the generation unit 12 generates audio data indicating the state of the fluid flowing through the pipe 30 based on the backscattered light received by the communication unit 11 (step S12).

[0025] Thereafter, the detection unit 13 detects the leakage of the fluid flowing through the pipe 30 by analyzing the audio data generated by the generation unit 12 (step S13).

[0026] As described above, according to the first embodiment, the communication unit 11 transmits pulsed light to the optical fiber 20 and receives backscattered light from the optical fiber 20. The generation unit 12 generates audio data indicating the state of the fluid flowing through the pipe 30 based on the backscattered light. The detection unit 13 detects the leakage of the fluid flowing through the pipe 30 by analyzing the audio data. Thus, it is possible to detect the leakage of the fluid flowing through the pipe 30 without providing a dedicated sensor for detecting the vibration of the pipe 30 as in Patent Document 1.

[0027] <Verification of the First Embodiment> Subsequently, the results of the verification experiment conducted on the first embodiment will be described below. First, the preconditions of this verification experiment will be described.

[0028] First, referring to FIG. 3, an example of the laying of the optical fiber 20 used in this verification experiment will be described. The optical fiber 20 is laid in a pipe 30 for supplying the liquid sulfur stored in the sulfur storage tank 40 to a sulfur discharging device (not shown). In the example of FIG. 3, the optical fiber 20 is laid in the pipe 30 on the suction side that sucks the liquid sulfur from the sulfur storage tank 40, but it is not limited thereto. The optical fiber 20 may be laid in the pipe 30 on the discharging side that discharges the liquid sulfur to the sulfur discharging device.

[0029] Next, referring to FIG. 4, an example of the configuration of the pipe 30 used in this verification experiment will be described. The pipe 30 is a jacket type pipe (double pipe) including an inner pipe 31 through which the liquid sulfur flows, and an outer pipe 32 that covers the inner pipe 31 with a gap therebetween and through which humidified steam flows in the gap.

[0030] Further, the pipe 30 further includes a heat insulating material 33 that covers the outer pipe 32, and an exterior plate 34 that covers the heat insulating material 33. The heat insulating material 33 is formed of, for example, calcium silicate. The exterior plate 34 is formed of, for example, a galvanized steel plate.

[0031] In this verification experiment, under the premise condition that the optical fiber 20 is laid in the above-described pipe 30 by the above-described laying method, four verifications 1 to 4 described below were performed. In each of the four verifications 1 to 4, an abnormal score rate was calculated from the voice data generated at a specific position on the optical fiber 20, and the change over time of the abnormal score rate was confirmed.

[0032] First, referring to FIGS. 5 and 6, a method for calculating the abnormal score rate will be described. FIG. 5 shows an example of voice data. This voice data is data showing the change over time of the sound intensity of the voice generated at a specific position on the optical fiber 20.

[0033] FIG. 6 shows an example of performing FFT (Fast Fourier Transform) on the voice data as shown in FIG. 5. By performing FFT on the audio data, the audio data is divided into each frequency component. Each frequency component of the audio data is compared with each frequency component of the normal-time audio data, and the deviation amount between the two (the difference in the shape of the frequency distributions of the two) is obtained. An abnormal score rate is calculated according to this deviation amount. That is, the abnormal score rate is calculated such that it becomes higher as the deviation amount between the two becomes larger. Subsequently, each of the four verifications 1 to 4 will be described.

[0034] Verification 1: In Verification 1, liquid sulfur was not flowed through the inner pipe 31 of the pipe 30, and a small amount of humidified steam was flowed through the outer pipe 32 of the pipe 30. The state of Verification 1 corresponds to the normal state when a sulfur discharging device (not shown) is not performing a sulfur discharging operation. Fig. 7 shows an example of the change over time of the abnormal score rate calculated in Verification 1.

[0035] Verification 2: In Verification 2, liquid sulfur was flowed through the inner pipe 31 of the pipe 30, and a small amount of humidified steam was flowed through the outer pipe 32 of the pipe 30. The state of Verification 2 corresponds to the normal state when a sulfur discharging device (not shown) is performing a sulfur discharging operation. Fig. 8 shows an example of the change over time of the abnormal score rate calculated in Verification 2.

[0036] Comparing Fig. 7 and Fig. 8, it can be seen that when the sulfur discharging operation is performed, the waveform of the change over time of the abnormal score rate changes. Therefore, it can be seen that the sulfur discharging operation is being performed from the waveform of the change over time of the abnormal score rate in Fig. 8.

[0037] Verification 3: In Verification 3, liquid sulfur was not flowed through the inner pipe 31 of the pipe 30, and humidified steam was continuously flowed through the outer pipe 32 at a flow rate greater than that in Verification 1. The state of Verification 3 corresponds to the state where humidified steam is leaking from the outer pipe 32 to the inner pipe 31 when a sulfur discharging device (not shown) is not performing a sulfur discharging operation. Fig. 9 shows an example of the change over time of the abnormal score rate calculated in Verification 3.

[0038] Comparing FIGS. 7 and 9, it can be seen that when the humidified steam leaks from the outer pipe 32 to the inner pipe 31, the waveform of the change in the abnormal score rate over time changes. Therefore, it can be seen from the waveform of the change in the abnormal score rate over time in FIG. 9 that the humidified steam is leaking from the outer pipe 32 to the inner pipe 31.

[0039] Verification 4: In Verification 4, liquid sulfur was flowed through the inner pipe 31 of the pipe 30, and humidified steam was intermittently flowed through the outer pipe 32 of the pipe 30 at a flow rate greater than that in Verification 1. The state of Verification 4 corresponds to a state where liquid sulfur is leaking from the inner pipe 31 to the outer pipe 32 when a sulfur discharging device (not shown) is performing a sulfur discharging operation. FIG. 10 shows an example of the change in the abnormal score rate over time calculated in Verification 4.

[0040] Comparing FIGS. 8 and 10, it can be seen that when liquid sulfur is leaking from the inner pipe 31 to the outer pipe 32, the waveform of the change in the abnormal score rate over time changes. Therefore, it can be seen from the waveform of the change in the abnormal score rate over time in FIG. 10 that liquid sulfur is leaking from the inner pipe 31 to the outer pipe 32.

[0041] As described above, it can be seen that leakage of the liquid sulfur and the humidified steam flowing through the pipe 30 can be detected from the change in the abnormal score rate over time. Therefore, in the first embodiment, the generation unit 12 generates voice data generated at a specific position on the optical fiber 20, the detection unit 13 calculates an abnormal score rate from the voice data, and based on the change in the abnormal score rate over time, detects leakage of the liquid sulfur and the humidified steam at the specific position. Specifically, the detection unit 13 detects leakage of the liquid sulfur from the inner pipe 31 to the outer pipe 32 and also detects leakage of the humidified steam from the outer pipe 32 to the inner pipe 31.

[0042] In addition, in order to improve the accuracy of leakage detection, the detection unit 13 may hold a learning model that has previously learned the correspondence between the change over time of the abnormal score rate and the presence or absence of leakage of liquid sulfur and humidified steam. In this case, the learning model pre-learns, for example, the correspondence between the waveform of the change over time of the abnormal score rate in FIG. 9 and the result of "presence" of leakage from the outer pipe 32 to the inner pipe 31 of the humidified steam. Further, the learning model pre-learns the correspondence between the waveform of the change over time of the abnormal score rate in FIG. 10 and the result of "presence" of leakage from the inner pipe 31 to the outer pipe 32 of the liquid sulfur. This learning model becomes a model that outputs a determination result of the presence or absence of leakage when, for example, the waveform of the change over time of the abnormal score rate is input. Then, the detection unit 13 may detect the leakage of liquid sulfur and humidified steam based on the change over time of the abnormal score rate and the above-described learning model.

[0043] In addition, in order to improve the accuracy of leakage detection by the detection unit 13, it is necessary to collect the sound generated in the inner pipe 31 and the outer pipe 32 more accurately according to the presence or absence of leakage. For this purpose, it is preferable to lay the optical fiber 20 near the inner pipe 31 and the outer pipe 32. Therefore, in the case of the pipe 30 configured as shown in FIG. 4, the optical fiber 20 may be laid between the heat insulating material 33 and the exterior plate 34.

[0044] <Other embodiments> In the above-described Embodiment 1, the communication unit 11, the generation unit 12, and the detection unit 13 are provided inside the leakage detection device 10, but the present invention is not limited to this. The communication unit 11, the generation unit 12, and the detection unit 13 may be provided in different separate devices, or the generation unit 12 and the detection unit 13 may be provided on the cloud. FIG. 11 shows a configuration example of a leakage detection system 1A in which the generation unit 12 and the detection unit 13 are provided in a separate device different from the leakage detection device 10A in which the communication unit 11 is provided or on the cloud.

[0045] <Hardware configuration of the lane change detection device according to the embodiment> Subsequently, with reference to FIG. 12, a hardware configuration example of a computer 90 that realizes the above-described leakage detection device 10 will be described.

[0046] As shown in FIG. 12, the computer 90 includes a processor 91, a memory 92, a storage 93, an input / output interface (input / output I / F) 94, a communication interface (communication I / F) 95, and the like. The processor 91, the memory 92, the storage 93, the input / output interface 94, and the communication interface 95 are connected by a data transmission path for transmitting and receiving data to and from each other.

[0047] The processor 91 is an arithmetic processing device such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). The memory 92 is a memory such as a RAM (Random Access Memory) or a ROM (Read Only Memory). The storage 93 is a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or a memory card. Also, the storage 93 may be a memory such as a RAM or a ROM.

[0048] A program is stored in the storage 93. When this program is read into the computer, it includes a set of instructions (or software code) for causing the computer 90 to perform one or more functions in the above-described leakage detection device 10. The components in the above-described leakage detection device 10 may be realized by the processor 91 reading and executing the program stored in the storage 93. Also, the storage function in the above-described leakage detection device 10 may be realized by the memory 92 or the storage 93.

[0049] Also, the above-described program may be stored in a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, the computer-readable medium or tangible storage medium includes RAM, ROM, flash memory, SSD, or other memory technologies. Also, the computer-readable medium or tangible storage medium includes CD (Compact Disc)-ROM, DVD (Digital Versatile Disc), Blu-ray (registered trademark) disc, or other optical disc storage. Also, the computer-readable medium or tangible storage medium includes magnetic cassette, magnetic tape, magnetic disk storage, or other magnetic storage devices. The program may be transmitted on a transitory computer-readable medium or a communication medium. By way of example and not limitation, the transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0050] The input / output interface 94 is connected to a display device 941, an input device 942, an audio output device 943, etc. The display device 941 is a device that displays a screen corresponding to the drawing data processed by the processor 91, such as an LCD (Liquid Crystal Display), a CRT (Cathode Ray Tube) display, or a monitor. The input device 942 is a device that receives the operator's operation input, such as a keyboard, a mouse, and a touch sensor. The display device 941 and the input device 942 may be integrated and realized as a touch panel. The audio output device 943 is a device that acoustically outputs sound corresponding to the audio data processed by the processor 91, such as a speaker.

[0051] The communication interface 95 transmits and receives data to and from an external device. For example, the communication interface 95 communicates with an external device via a wired communication path or a wireless communication path.

[0052] The present disclosure has been described with reference to the embodiments above, but the present disclosure is not limited to the above-described embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure. And each embodiment can be combined with other embodiments as appropriate.

[0053] Also, each drawing is merely an illustration for explaining one or more embodiments. Each drawing is not associated with only one specific embodiment, but may be associated with one or more other embodiments. As can be understood by those skilled in the art, various features or steps described with reference to any one drawing can be combined with the features or steps shown in one or more other drawings to create, for example, embodiments that are not explicitly illustrated or described. Not all of the features or steps shown in any one drawing for explaining exemplary embodiments are necessarily essential, and some features or steps may be omitted. The order of the steps described in any drawing may be changed as appropriate.

[0054] Also, some or all of the above embodiments can be described as follows in the appended claims, but are not limited thereto. (Appendix 1) A communication unit that transmits pulsed light to an optical fiber laid in a pipe through which a fluid flows and receives backscattered light from the optical fiber, A generation unit that generates voice data indicating the state of the fluid flowing through the pipe based on the backscattered light, A detection unit that detects leakage of the fluid by analyzing the voice data, A leakage detection system. (Appendix 2) When the detection unit detects leakage of the fluid, it specifies the location where the leakage occurs. The leakage detection system according to Appendix 1. (Appendix 3) The detection unit In the analysis of the voice data, a score rate corresponding to the deviation amount between the frequency components of the voice data and the frequency components of the voice data in a normal state is calculated, Based on the change over time of the score rate, the leakage of the fluid is detected. The leakage detection system according to Appendix 1. (Appendix 4) The detection unit holds a learning model that has previously learned the correspondence relationship between the change over time of the score rate and the presence or absence of leakage of the fluid, Based on the change over time of the score rate and the learning model, the leakage of the fluid is detected. The leakage detection system according to Appendix 3. (Appendix 5) The pipe includes an inner pipe through which a first fluid flows, and an outer pipe that covers the inner pipe with a gap therebetween and through which a second fluid flows in the gap. The detection unit detects the leakage of the first fluid from the inner pipe to the outer pipe and the leakage of the second fluid from the outer pipe to the inner pipe by analyzing the voice data. The leakage detection system according to Appendix 1. (Appendix 6) The pipe further includes a heat insulating material that covers the outer pipe and an outer decorative plate that covers the heat insulating material. The optical fiber is laid between the heat insulating material and the outer decorative plate. The leakage detection system according to Appendix 5. (Appendix 7) The first fluid is a liquid and the second fluid is a gas. The leakage detection system according to Appendix 5. (Appendix 8) A communication unit that transmits pulsed light to an optical fiber laid in a pipe through which a fluid flows and receives backscattered light from the optical fiber, A generation unit that generates voice data indicating the state of the fluid flowing through the pipe based on the backscattered light, A detection unit that detects the leakage of the fluid by analyzing the voice data, and includes: Leakage detection device. (Appendix 9) A leakage detection method executed by a leakage detection device, transmitting pulsed light to an optical fiber laid in a pipe through which a fluid flows and receiving backscattered light from the optical fiber, generating voice data indicating the state of the fluid flowing through the pipe based on the backscattered light, detecting leakage of the fluid by analyzing the voice data, and a leakage detection method. (Appendix 10) causing a computer to execute a procedure of transmitting pulsed light to an optical fiber laid in a pipe through which a fluid flows and receiving backscattered light from the optical fiber, execute a procedure of generating voice data indicating the state of the fluid flowing through the pipe based on the backscattered light, execute a procedure of detecting leakage of the fluid by analyzing the voice data, and a program.

[0055] Note that some or all of the elements (e.g., configurations and functions) described in Appendices 2 to 7 that are subordinate to Appendix 1 may be subordinate to Appendices 8 to 10 in the same subordinate relationship as Appendices 2 to 7. Some or all of the elements described in any appendix may be applied to various hardware, software, recording means for recording software, systems, and methods.

Explanation of Reference Numerals

[0056] 1, 1A Leakage detection system 10, 10A Leakage detection device 11 Communication unit 12 Generation unit 13 Detection unit 20 Optical fiber 30 Pipe 31 Inner pipe 32 Outer pipe 33 Heat insulating material 34 Exterior panel 40 Sulfur storage tank 90 Computer 91 Processor 92 Memory 93 Storage 94 Input / Output Interface 941 Display Device 942 Input Device 943 Audio Output Device 95 Communication Interface

Claims

1. A communication unit that transmits pulsed light to an optical fiber laid in a pipe through which a fluid flows and receives backscattered light from the optical fiber, A generation unit that generates voice data indicating the state of the fluid flowing through the pipe based on the backscattered light, A detection unit that detects leakage of the fluid by analyzing the voice data, A leakage detection system.

2. When the detection unit detects leakage of the fluid, it specifies the location where the leakage occurred. The leakage detection system according to claim 1.

3. The detection unit In the analysis of the voice data, calculates a score rate according to the amount of deviation between the frequency components of the voice data and the frequency components of the normal voice data, Detects leakage of the fluid based on the change over time of the score rate. The leakage detection system according to claim 1.

4. The detection unit Holds a learning model that has previously learned the correspondence between the change over time of the score rate and the presence or absence of leakage of the fluid, Detects leakage of the fluid based on the change over time of the score rate and the learning model. The leakage detection system according to claim 3.

5. The pipe includes an inner pipe through which a first fluid flows, and an outer pipe that covers the inner pipe with a gap therebetween and through which a second fluid flows in the gap. The detection unit detects leakage of the first fluid from the inner pipe to the outer pipe and leakage of the second fluid from the outer pipe to the inner pipe by analyzing the voice data. The leakage detection system according to claim 1.

6. The pipe further includes a heat insulating material that covers the outer pipe, and an exterior plate that covers the heat insulating material. The optical fiber is laid between the heat insulating material and the exterior plate. The leakage detection system according to claim 5.

7. The first fluid is a liquid and the second fluid is a gas. The leakage detection system according to claim 5.

8. A communication unit that transmits pulsed light to an optical fiber laid in a pipe through which a fluid flows and receives backscattered light from the optical fiber, A generation unit that generates voice data indicating the state of the fluid flowing through the pipe based on the backscattered light, A detection unit that detects leakage of the fluid by analyzing the voice data, A leakage detection device.

9. A leakage detection method executed by a leakage detection device, Transmitting pulsed light to an optical fiber laid in a pipe through which a fluid flows and receiving backscattered light from the optical fiber, Generating voice data indicating a state of the fluid flowing through the pipe based on the backward scattered light; detecting leakage of the fluid by analyzing the voice data, including: A leakage detection method.

10. Causing a computer to: transmit pulsed light to an optical fiber laid in a pipe through which a fluid flows, and receive backward scattered light from the optical fiber; generate voice data indicating a state of the fluid flowing through the pipe based on the backward scattered light; execute a procedure for detecting leakage of the fluid by analyzing the voice data. A program.

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