Water hammer and water leakage detection system

Abstract

The present invention relates to a water hammer and water leakage detection system which makes it possible to detect pressure waves, propagated in a pipe by water hammer of a piping system, and a water leakage sound, at the moment a water leakage occurs due to the effects of the pressure waves, and thereby estimate the water leakage position and analyze the effects of the water hammer on the water leakage position. More specifically, the water hammer and water leakage detection system comprises: remote pipe abnormality detection devices (1) which are installed at respective measurement points designated spaced apart in the pipe and, when water hammer is detected according to pressure, generate and transmit sound data before and after the water hammer; and a pipe abnormality analysis device (2) which, when sound data is transmitted from a plurality of the measurement points in response to the occurrence of water hammer, detects the magnitude of the water leakage sound according to the sound change at each of the measurement points before and after the water hammer, detects a water leakage section according to a distance attenuation constant for each section calculated using the magnitude of the water leakage sound at each of the measurement points, and estimates the water leakage position.

Description

Water hammer and leak detection system

[0001] The present invention relates to a water hammer and water leak detection system that detects a pressure wave propagated in a pipe by water hammer in a pipe system and a water leak sound when a water leak occurs due to the influence of the pressure wave, thereby estimating the location of the water leak and analyzing the influence of water hammer applied to the location of the water leak.

[0002] Water hammer, or water hammer, is a phenomenon in which excessive pressure changes occur due to a sudden change in the flow rate of incompressible or slightly compressible fluids flowing through pipes, caused by reasons such as the rapid opening and closing of a valve or the abnormal stoppage of a pump due to a power outage, in a piping system where the fluid is controlled or regulated by a pump or valve. Of course, the piping system here is limited to water supply pipes, and oil pipelines and various fluid supply pipes for plant facilities are also included.

[0003] The pressure wave generated by the pressure change caused by this water hammer phenomenon gradually attenuates as it travels back and forth along the pipe, but the pipe may be damaged and cause leakage due to the impact of the strong pressure wave when the water hammer phenomenon occurs, as well as the pressure wave that is repeatedly applied while traveling back and forth.

[0004] Patent No. 10-2626331 detects water hammer by measuring pressure, flow rate, and velocity within the pipe through a pipe anomaly recording device installed separately from the pipe. The system then analyzes the data to determine whether an event (accident / non-accident) caused by the water hammer occurs. Events can include pipe leaks, deflections, and damage. This allows for quantitative assessments of risk and integrity before an actual event occurs, and can help identify potential accidents in the pipe.

[0005] However, Patent No. 10-2626331 cannot monitor the actual occurrence of a water hammer leak. It does not detect the location of a leak caused by the impact of water hammer, which is the most important concern. Furthermore, since the propagation characteristics and impact of water hammer vary depending on various parameters in the piping system, it is difficult to build a system capable of learning or simulating event detection. Furthermore, because the actual impact of water hammer on the leak location cannot be determined, it is difficult to analyze the correlation between water hammer and water leakage.

[0006] Meanwhile, the applicant's registered patent No. 10-2407676 analyzes the hydraulic head to detect a leaky section and estimates the location of the leak within the leaky section using the leak noise detected at both nodes of the leaky section. However, this requires a cumbersome process of analyzing the hydraulic head to detect the leaky section. Furthermore, when estimating the location of the leak, the analysis results on the attenuation characteristics of the leak noise actually propagating in the pipe are not utilized, but only the general characteristic that the leak noise attenuates inversely proportional to the propagation distance is used, which may result in estimation errors.

[0007] [Prior Art Literature]

[0008] [Patent Document]

[0009] (Patent Document 1) KR 10-2626331 B1 2024.01.12.

[0010] (Patent Document 2) KR 10-2407676 B1 2022.06.07.

[0011] The purpose of the present invention is to provide a water hammer and water leak detection system that detects water leaks due to water hammer, obtains data for analyzing the correlation between water hammer and water leaks, and estimates the water leak section and water leak location based on the distance attenuation characteristics of water leak noise.

[0012] In order to achieve the above object, the present invention comprises a remote pipe abnormality detection device (1) which is installed at a plurality of measuring points spaced apart along a pipe and, when a water hammer is detected by a pressure measured by a pressure sensor (11), obtains and transmits acoustic data before and after the water hammer to an acoustic sensor (12); a leak detection unit (21) which detects the occurrence of a water leak and the level of the leakage sound at each measuring point according to the acoustic change before and after the water hammer at each measuring point when transmitting the acoustic data from a plurality of measuring points; a leak noise attenuation characteristic calculation unit (22) which calculates a distance attenuation constant defined as the difference in the level of the leakage sound at both ends compared to the length of the section for each section divided by the measuring points; and a leak location estimation unit (23) which estimates a section with a relatively smallest distance attenuation constant as a leak section and then estimates a leak location based on a distance attenuation characteristic to which a distance attenuation constant obtained from a section other than the leak section is applied.

[0013] According to one embodiment of the present invention, the remote pipe abnormality detection device (1) generates and transmits sound data before and after water impact when the amount of sound change before and after water impact is greater than a preset value.

[0014] According to one embodiment of the present invention, the water leak detection unit (21) determines an area where the change in sound amplitude before and after water impact is relatively large and there are at least three or more consecutive measurement points spaced apart along the pipe as a water leak area, and obtains the sound level of the water leak at the measurement points in the water leak area from the sound data after water impact.

[0015] According to one embodiment of the present invention, the leak location estimation unit (23) applies a distance attenuation constant obtained from a section that is connected to a leak section and is distinguished by a measurement point where the leak noise level is relatively large to estimate the leak location in the leak section.

[0016] According to one embodiment of the present invention, the leak location estimation unit (23) determines the length of the leak section. And, the size of the leak noise at one side of the leak section is And the size of the leakage noise at the other measuring point is , and the distance attenuation constant obtained from the section other than the leakage section is At one time, the distance from one side measurement point to the leak location second Estimate the location of the leak by calculating it.

[0017] According to one embodiment of the present invention, the remote pipe abnormality detection device (1) transmits pressure data measured when a water hammer is detected, and the pipe abnormality analysis device (2) further includes a water hammer analysis unit (24) for estimating the maximum pressure value occurring at a water leak location based on a pressure wave distance attenuation constant defined as the difference in maximum pressure values ​​of measuring points at both ends relative to the length of a section in which no water hammer has occurred, and the maximum pressure value of at least one measuring point in a water leak section.

[0018] According to one embodiment of the present invention, the water-pressure analysis unit (24) at the water-pressure location estimates the time-series pressure data of the pressure wave occurring at the water-pressure location based on the pressure wave propagation speed defined as the distance between the sections in which the maximum pressure values ​​of the measuring points at both ends are detected in a section where no water-pressure has occurred, the time-series pressure data obtained from at least one measuring point in the water-pressure section, and the ratio of the maximum pressure value of the water-pressure location to the maximum pressure value of the measuring point where the time-series pressure data is obtained.

[0019] The present invention monitors the pipe pressure, and when a water hammer is detected, a water leak is detected based on the sound before and after the water hammer, thereby detecting a water leak caused by the water hammer, and can easily and accurately detect a water leak section based on the relative size of the water leak sound distance attenuation constant for each section calculated based on the water leak sound size measured at the measurement point, and can obtain the attenuation characteristics in the pipe by applying the water leak sound distance attenuation constant obtained as an accurate value in a section other than the water leak section, thereby allowing a more accurate estimation of the location of the water leak within the water leak section.

[0020] Figure 1 is a schematic diagram of a piping system in which a water hammer and leak detection system according to an embodiment of the present invention is installed.

[0021] Figure 2 is a block diagram of a water hammer and water leak detection system according to an embodiment of the present invention.

[0022] Figure 3 is an exemplary graph of a pressure wave generated by a water hammer.

[0023] Figure 4 is a schematic diagram illustrating time series data of pressure and sound level detected at an observation point where a remote pipe abnormality detection device (1) is installed when a leak occurs due to water hammer.

[0024] Figure 5 is a diagram schematically showing the maximum leakage noise amplitude measured at each observation point near the leakage location and the leakage noise amplitude attenuation characteristics.

[0025] Figure 6 is a drawing for explaining a method of analyzing a water impact applied to a leak location.

[0026] Hereinafter, specific examples of embodiments of the present invention will be described with reference to the attached drawings so that those skilled in the art can easily implement the present invention. It is clear that the embodiments of the present invention can be implemented through various changes or modifications within the scope of the present invention, and thus, the present invention is not limited to the described embodiments.

[0027] Since the embodiments of the present invention can be implemented by those skilled in the art to which the present invention pertains by adding well-known components, circuits, functions, methods, and typical details, they will not be described in detail.

[0028] Embodiments of the present invention can be implemented in a form in which software and hardware are combined, and the software and hardware forms can be described as parts, modules, or sub-components.

[0029] To 'include' an element means to include, but not to exclude, other elements unless otherwise specifically stated.

[0030] Referring to the pipe schematic diagram of FIG. 1, a water hammer and water leak detection system according to an embodiment of the present invention includes a remote pipe abnormality detection device (1) installed at intervals in a pipe to detect a location of a water leak caused by a water hammer, and a pipe abnormality analysis device (2) that is connected to each remote pipe abnormality detection device (1) in communication.

[0031] Here, the above remote pipe abnormality detection device (1) is installed at each designated measuring point at intervals along the pipe.

[0032] In this way, the measuring points for installing the above remote pipe abnormality detection device (1) are at least three locations in the pipe to be leak-detected. Since pumps, valves, etc. that cause water hammer are usually installed at both ends of the pipe, it is recommended to include areas close to both ends of the pipe. For example, in the case of water pipes, equipment that can cause water hammer, such as a water control valve, is sometimes installed at appropriate locations in the pipe, so it is recommended to determine at least three appropriate locations as measuring points for each pipe section classified as equipment that causes water hammer, and install the above remote pipe abnormality detection device (1).

[0033] Refer to the block diagram of Fig. 2 for a detailed explanation.

[0034] The above remote pipe abnormality detection device (1) includes a pressure sensor (11) for measuring the liquid pressure in the pipe, an acoustic sensor (12) for detecting sound transmitted to the pipe or the liquid in the pipe, a memory (14) for storing data, a communication module (15) for communicating with the pipe abnormality analysis device (2), and a processor (13).

[0035] The structure of installing the pressure sensor (11) in the pipe for pressure measurement is a known structure, and the structure of installing the acoustic sensor (12) in the pipe for sound detection is also known in the applicant's registered patents No. 10-2590763 and No. 10-2561298, etc., and thus a detailed description thereof will be omitted. The communication module (15) is for communication connection to the pipe abnormality analysis device (2) via known wired or wireless communication, and may be configured as a communication module capable of wireless communication connection via an NB-IoT communication network, for example, but is not limited to such a communication module, and the memory (14) is for storing pressure data measured for a preset time before and after water hammer detection and acoustic data measured for a preset time before and after water leak detection, and then transmitting them to the pipe abnormality analysis device (2), and since it is a known component, a detailed description thereof will be omitted.

[0036] The above processor (13) is provided with a water impact detection unit (131) that receives a pressure value measured by the pressure sensor (11) and detects the occurrence of a water impact, and an acoustic data generation unit (132) that generates acoustic data before and after the water impact as an acoustic signal detected by the acoustic sensor (12) when the occurrence of a water impact is detected, as program components.

[0037] The above water impact detection unit (131) measures the pressure value at intervals of at least 0.1 seconds through the pressure sensor (11) in order to accurately detect the maximum value of the pressure value changed by the water impact, stores the pressure value in the memory (14) for a preset period of time, and monitors the pressure value change.

[0038] The above water impact detection unit (131) determines that a water impact occurs and a pressure wave is propagated when the pressure value fluctuates above a preset pressure value, and stores the time-series pressure values ​​measured after the water impact occurs for a preset time, so that the pressure values ​​from a preset time point before the water impact to a preset time point after the water impact are stored in the memory (14), and then transmits the stored time-series pressure data to the pipe abnormality analysis device (2) through the communication module (15).

[0039] The graph in Fig. 4 is a graph showing a pressure wave generated by a pressure decrease when a valve is opened and a pressure wave generated by a pressure increase when the valve is closed. The pressure wave goes back and forth along the pipe and continues for a predetermined period of time (water hammer wave time) before returning to the normal pressure value. In addition, the duration of the pressure wave varies depending on the situation of the piping system. Accordingly, when the pressure value fluctuates beyond the preset pressure value, it is determined that a water hammer has occurred, and for example, the pressure values ​​from 60 seconds before the water hammer is detected to 120 seconds after the water hammer is detected are recorded and then transmitted, thereby transmitting pressure data that sufficiently represents the change in pressure value due to the water hammer. Of course, the transmitted pressure data includes the time of measuring the pressure value.

[0040] Here, the water impact detection time is the measurement time of the maximum pressure value appearing in the pressure wave, so that the water impact detection time can be obtained in the same manner at different measurement points.

[0041] The above-mentioned acoustic data generation unit (132) is for obtaining acoustic data indicating a leakage sound propagated along a pipe when a leak occurs at any location on the pipe due to water impact. In order to obtain acoustic data that can more accurately determine whether or not there is a leak, it generates acoustic data including time-series acoustic data before the occurrence of water impact, which does not include a leakage sound because no leakage occurs due to water impact, and time-series acoustic data after the occurrence of water impact, which may include a leakage sound because a leakage occurs due to water impact, and transmits the generated acoustic data to the pipe abnormality analysis device (2).

[0042] As a specific embodiment, since a leak sound is continuously generated as long as there is fluid in the pipe after a leak has occurred in general, time-series sound data obtained by the acoustic sensor (12) is recorded for a predetermined period of time (e.g., 5 seconds) at predetermined time intervals (e.g., 10-minute intervals), and when a water impact is detected by the water impact detection unit (131), sound data is generated by combining the time-series sound data recorded before the water impact and the time-series sound data recorded after the water impact and transmitted. Of course, the sound data also includes time information.

[0043] It is preferable that the acoustic data transmitted here include at least time-series acoustic data recorded immediately before and immediately after the water impact, and that the time-series acoustic data recorded after the water impact include all time-series acoustic data measured and recorded several times.

[0044] Meanwhile, the above-described acoustic data generation unit (132) may select, from among the time-series acoustic data repeatedly obtained at predetermined time intervals after the occurrence of water impact, time-series acoustic data in which the amount of change in sound size (Amplitude) is greater than a preset value compared to the time-series acoustic data before the occurrence of water impact, and include the data in the acoustic data to be transmitted. Since the leakage noise generated in the pipe can generally appear as a sound in a specific frequency band, the band can be designated in advance to extract time-series acoustic data in which the intensity of the corresponding band is large. In other words, whether or not there is a water leak can be accurately determined by analyzing the sound detected at at least two or more measuring points. Here, by transmitting the acoustic data only when a leak is suspected in the first place, unnecessary data transmission can be avoided.

[0045] In this way, the remote pipe abnormality detection device (1) installed at each measuring point generates pressure data of a predetermined period obtained before and after detection of water hammer when detecting water hammer and transmits it to the pipe abnormality analysis device (2), and when a water leak occurs due to the effect of water hammer, it generates sound data distinguishing between before and after water hammer and transmits it to the pipe abnormality analysis device (2), and when water hammer or a water leak occurs, it transmits data generated from those installed at at least three measuring points.

[0046] The above pipe abnormality analysis device (2) receives pressure data generated at each measuring point by water hammer and stores it in a storage unit (not shown), thereby providing data for analyzing pressure waves appearing at each measuring point, and when a leak due to water hammer is suspected to have occurred, it receives sound data generated at each measuring point and stores it in a storage unit (not shown), and is equipped with a leak detection unit (21) for leak detection, leak section estimation, leak location estimation, and water hammer effect analysis of the leak location, a leak noise attenuation characteristic calculation unit (22), a leak location estimation unit (23), and a leak location water hammer analysis unit (24) as program components.

[0047] The above-mentioned water leak detection unit (21) analyzes sound data obtained from at least three measuring points that transmitted sound data to determine whether a water leak has occurred, and when a water leak is determined to have occurred, obtains the size of the water leak sound detected at each measuring point.

[0048] Referring to an exemplary drawing showing a state caused by water hammer in Fig. 4, when water hammer occurs due to the operation of a pump or valve installed on one side of a pipe, the pressure wave caused by the water hammer propagates along the pipe and gradually decreases, and appears in a pattern of periodically decreasing as it goes back and forth along the pipe, so the maximum pressure value of the pressure wave detected at the measuring point decreases as it moves away from the point where the water hammer occurs. In addition, when a leak occurs at any point in the pipe due to the pressure wave, the size (amplitude) of the leak sound detected at each measuring point after the water hammer decreases as it moves away from the point where the leak occurs.

[0049] The above-mentioned water leak detection unit (21) detects the occurrence of water leakage after water impact and obtains the level of water leakage noise detected at each measurement point.

[0050] As a method of determining whether a leak has occurred, if there are three or more consecutively designated points along the pipe where the sound size (Amplitude) has increased by a certain amount or more after the water impact compared to before the water impact, a leak can be determined to have occurred.

[0051] For a more accurate judgment, if the correlation between the acoustic data of each measurement point obtained after water impact is above a certain value, it is determined that a leak has occurred, or as mentioned above, if the frequency component of the same band is detected above a certain power in the acoustic data of each measurement point obtained after water impact based on information about the frequency band of the leakage sound generated in the pipe, it is determined that a leak has occurred.

[0052] Here, an area with at least three consecutive measurement points spaced apart along the pipe is judged to be a leak area where multiple sections are connected by measurement points with relatively large changes in sound amplitude.

[0053] And, the size of the leakage noise at each measurement point within the leakage area is obtained from the acoustic data after water impact.

[0054] The leakage noise level at each measurement point can be calculated as the change in sound level before and after water impact, but in order to obtain it more accurately, it can be obtained from the components of the frequency band that appear in the sound data after water impact as the sound size (Amplitude) composed of components of the leakage noise frequency band, or it can be obtained by extracting sound data of correlated components. Of course, a process of suppressing noise other than the leakage noise may be performed in advance. The technology of extracting the leakage noise and calculating the leakage noise level in this way is known in the technical field of the present invention as a variety of techniques, so a further detailed description is omitted.

[0055] The above-mentioned leakage noise attenuation characteristic calculation unit (22) obtains a leakage noise distance attenuation constant for each section divided by the measurement points by using the leakage noise size obtained for each measurement point in the leakage occurrence area including at least three measurement points.

[0056] The leakage noise distance attenuation constant obtained for each section is calculated by calculating the difference in leakage noise obtained at the measurement points at both ends of the section, and then calculating it using the following mathematical formula 1, which is defined as the ratio of the difference in the leakage noise size at the measurement points at both ends to the length of the section.

[0057] [Mathematical Formula 1]

[0058]

[0059] Here, and is the leakage noise size obtained from the measurement points at both ends of the section, and the absolute value of the difference in leakage noise size is taken and then the pipe length of the section is The attenuation constant of the leakage noise distance divided by the interval Get .

[0060] Meanwhile, the pipe length for each section can be stored in advance and applied when calculating the leakage noise distance attenuation constant.

[0061] This leakage noise distance attenuation constant represents the rate at which leakage noise level decreases with distance. Since leakage noise level generally attenuates with distance, the leakage noise propagation characteristics can be expressed by the leakage noise distance attenuation constant.

[0062] However, as can be seen in Fig. 5, which is a graph showing the maximum leakage noise size (Amplitude) measured in the situation exemplified in Fig. 4, the leakage noise distance attenuation constant () obtained in the remaining sections excluding the section where the leakage occurrence point exists ) is a value that accurately reflects the leakage noise attenuation characteristics, but the leakage noise distance attenuation constant obtained from the section where the leakage occurred ( ') is not a value that represents the noise reduction characteristics, but rather a relatively small and inaccurate value.

[0063] The above-mentioned leak location estimation unit (23) estimates the leak section by using the meaning of the size of the leak noise distance attenuation constant, and estimates the leak location within the leak section.

[0064] The leakage section is estimated as the section with the smallest leakage noise distance attenuation constant by comparing the sizes of the leakage noise distance attenuation constants obtained for each section.

[0065] The leak location is a leak noise distance attenuation constant obtained from a section other than the leak section with a more accurate value. It can be applied and calculated based on the noise attenuation characteristics according to distance.

[0066] First, we can obtain a relationship that shows the amount of noise attenuation according to distance using the mathematical expression 2 below.

[0067] [Equation 2]

[0068]

[0069] Here, is the pipe length of the leaking section, is assumed to be the size of the leak noise at the leak location, is the leakage noise level at one side of the leakage section, is the leakage noise level at the other side of the leakage section, silver It is the distance from the one-sided measurement point where the leak noise level appears to the leak location.

[0070] In mathematical expression 2 After going through the process of eliminating, The mathematical expression 3 below, which produces , can be used to estimate the location of a leak within a leak section.

[0071] [Equation 3]

[0072]

[0073] Of course, the above mathematical formula 3 It can be transformed into a formula that calculates the distance from the other side measurement point where the size of the leak noise is shown to the leak location.

[0074] Here, the leakage noise distance attenuation constant It is recommended to apply the values ​​obtained from the section where the measurement point is located, which is connected to the leakage section and where the leakage noise level is relatively large.

[0075] The above water leak location water impact analysis unit (24) analyzes the impact applied to the water leak location when water impact occurs using pressure data obtained at the measurement point.

[0076] First, the location of the water hammer occurrence is estimated by comparing the magnitude of the maximum pressure value obtained at each measurement point. The locations of pumps, valves, and other major sources of water hammer occurrence are designated, and the maximum pressure value decreases as the measurement point is further from the water hammer occurrence point. Therefore, the location of the equipment causing the water hammer occurrence can be estimated as the location of the water hammer occurrence point located toward the measurement point with the largest maximum pressure value.

[0077] Next, since the water hammer detection time at which the maximum pressure value was measured at the measurement point is recorded in the pressure data, the maximum pressure value at the measurement point and the water hammer detection time are used to obtain the maximum pressure value applied to the leak location by the water hammer and the time at which the maximum pressure value was applied.

[0078] Referring to Figure 6, it can be assumed that the pressure wave generated by water hammer decreases with the propagation distance, and the propagation speed of the pressure wave propagating along a pipe of the same structure is the same.

[0079] Accordingly, the maximum pressure value measured at one measuring point of the leak section The maximum pressure value measured at the other measuring point After calculating the difference between the two, the length of the leakage section is calculated as in the mathematical formula 4 below. The distance attenuation constant of the pressure wave as a ratio of the difference between the maximum pressure values ​​compared to the reference value can be produced.

[0080] [Equation 4]

[0081]

[0082] And, the relatively large maximum pressure value and the maximum pressure value The distance from this measured one-sided measurement point to the leak location is On the other hand, the maximum pressure applied by water impact at the leak location can be estimated using the mathematical formula 5 below.

[0083] [Equation 5]

[0084]

[0085] Also, the time at which the maximum pressure value was measured at one measuring point in the leak section , and the time at which the maximum pressure value was measured at the other measuring point On the other hand, the pressure wave propagation speed a is the measurement time difference between the two ends of the leak section and the length of the leak section. It can be calculated by applying the mathematical formula 6 below.

[0086] [Equation 6]

[0087]

[0088] Maximum pressure at the leak location The time t at which the force is applied can be estimated using the mathematical expression 7 below.

[0089] [Equation 7]

[0090]

[0091] Here, is the measurement time at the earlier measurement point among the measurement points at both ends of the leak section, that is, the measurement time at the measurement point closest to the location where the water hammer occurred. is the distance from the measurement point to the leak location.

[0092] Additionally, the pressure wave waveform at the leak location is the maximum pressure value. The waveform of the pressure wave obtained from this measured one-sided measurement point and It can be estimated by modifying the pressure value according to the relative ratio of the pressure wave. Of course, this pressure wave waveform has the maximum pressure value at the leak location. It can be obtained as time series data including time information according to the time t applied.

[0093] Meanwhile, the above-mentioned pressure wave distance attenuation constant And the pressure wave propagation speed a is not only obtained from the leak section, but is also satisfactory if it is obtained from the section where water hammer does not occur. Considering the noise during measurement, it is desirable to use the value obtained from the section as close to the location where water hammer occurs as possible.

[0094] As described above, by estimating the maximum pressure value related to the impact applied to the leak location, the time at which the maximum pressure value occurred, and the time series data of the pressure wave, data for analyzing the correlation with the occurrence of a leak can be provided, and furthermore, data for designing piping equipment that prevents leakage even when a water impact occurs, or data for designing water impact prevention equipment that prevents leakage, can be used.

[0095] [Explanation of symbols]

[0096] 1: Remote pipe abnormality detection device

[0097] 11: Pressure sensor 12: Acoustic sensor

[0098] 13: Processor 131: Water impact detection unit

[0099] 132: Sound data generation unit 14: Memory

[0100] 15: Communication module

[0101] 2: Piping anomaly analysis device

[0102] 21: Leakage detection unit 22: Leakage noise attenuation characteristic calculation unit

[0103] 23: Leakage location estimation section 24: Leakage location water impact analysis section

Claims

1. A remote pipe abnormality detection device (1) installed at multiple measuring points spaced apart along a pipe, which detects a water impact by measuring the pressure with a pressure sensor (11), and obtains and transmits acoustic data before and after the water impact to an acoustic sensor (12); A pipe abnormality analysis device (2) comprising: a leak detection unit (21) which determines a region in which a change in sound amplitude before and after water impact is relatively large when transmitting sound data from multiple measuring points and has at least three or more continuous measuring points spaced apart along the pipe as a leak area, and obtains the leak noise amplitude of the measuring points in the leak area from the sound data after water impact; a leak noise attenuation characteristic calculating unit (22) which calculates a distance attenuation constant defined as the difference in the leak noise amplitude between the measuring points at both ends relative to the length of the region for each region divided by the measuring points using the leak noise amplitude obtained for each measuring point in the leak area; and a leak location estimation unit (23) which estimates a region in which the distance attenuation constant is relatively the smallest as the leak region and then estimates the location of the leak based on the distance attenuation characteristic by applying the distance attenuation constant obtained from a region that is connected to the leak region and is divided into measuring points in which the leak noise amplitude is relatively large; Including, The above leak location estimation unit (23) The length of the leak section And, the size of the leak noise at one side of the leak section is And the size of the leakage noise at the other measuring point is , and the distance attenuation constant obtained from the section other than the leakage section is At one time, the distance from one side measurement point to the leak location second Estimate the location of the leak by calculating Water hammer and leak detection system.

2. In paragraph 1, The above remote pipe abnormality detection device (1) When the amount of sound change before and after the water impact is greater than the preset value, the sound data before and after the water impact is generated and transmitted. Water hammer and leak detection system.

3. In paragraph 1, The above remote pipe abnormality detection device (1) Transmits pressure data measured when a water impact is detected, The above pipe abnormality analysis device (2) In a section where water hammer does not occur, the pressure wave distance attenuation constant is defined as the difference in the maximum pressure values ​​of the measuring points at both ends compared to the section length, and a water hammer analysis unit (24) further includes a water hammer analysis unit (24) for estimating the maximum pressure value occurring at the water hammer location based on the maximum pressure value of at least one measuring point in the water hammer section. Water hammer and leak detection system.

4. In paragraph 3, The above water leak location water impact analysis unit (24) The pressure wave propagation speed is defined as the distance between the intervals compared to the time difference between the detection of the maximum pressure values ​​at both end measuring points in the interval where no water hammer has occurred, and the time-series pressure data obtained from at least one measuring point in the leakage interval, and the time-series pressure data of the pressure wave occurring at the leakage location is estimated based on the ratio of the maximum pressure value at the leakage location to the maximum pressure value at the measuring point where the time-series pressure data was obtained. Water hammer and leak detection system.

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