Liquid pipeline network leakage monitoring method, system and electronic equipment

Abstract

The present invention discloses a method, system, and electronic device for monitoring liquid pipe network leaks. The method comprises obtaining hydroacoustic data collected by each water hydrant in the liquid pipe network; determining whether a leak exists in the liquid pipe network based on the hydroacoustic data collected by each water hydrant; and if so, identifying at least one group of water hydrant devices, wherein each group of water hydrant devices includes two water hydrant devices, and the two water hydrant devices are located on both sides of the leak point; and determining the location of the leak point in the liquid pipe network based on the hydroacoustic data collected by each group of water hydrant devices. This method can achieve high-precision positioning of liquid pipe network leaks and reduce the rate of missed detections and false detections.

Description

Technical Field

[0001] The present invention relates to the field of detection technology, and in particular to a liquid pipeline network leakage monitoring method, system and electronic equipment. Background Art

[0002] As a key component of people's livelihood infrastructure, liquid pipeline networks are facing serious social problems due to water resource loss caused by leakage and burst pipes, as well as corresponding economic losses, road collapse, water supply paralysis and other secondary disasters. For the fire protection pipeline network in the liquid pipeline network, due to leakage or insufficient water pressure in some fire protection pipelines, it has been in an under-pressure state for a long time, even below the lower pressure limit of fire protection water. Once a fire occurs in this area, the water pressure in the fire hydrant cannot meet the on-site rescue requirements, and the fire cannot be extinguished in time, which will lead to serious fire accidents. At present, the penetration rate of equipment used to sense fire protection pipelines in the market is low, especially the equipment used for fire protection pipeline leakage monitoring is even rarer. Most fire protection pipeline monitoring products require the modification and installation of fire hydrants or pipelines, which is costly, the product function integration is not high, and the actual application effect has not met expectations.

[0003] To this end, two solutions have been proposed in related technologies: one is to accurately locate the leak point through sound signal cross-correlation and frequency analysis, and the other is to use artificial intelligence-related methods to build a model of multi-node pressure, flow and leak point location in the area, thereby pre-estimating the leak point location. However, related technologies have the following problems:

[0004] (1) Leak detection technology based on cross-correlation of sound signals is greatly affected by external noise, and the accuracy of leakage judgment and positioning is greatly affected by the pipeline material, structure, and surrounding geographical environment;

[0005] (2) The method of using artificial intelligence related methods to establish a model of multi-node pressure, flow and leakage point location in the region has high requirements for training data, and it is difficult to make timely adjustments and optimizations in the event of missed detections or false detections. Summary of the Invention

[0006] The present invention aims to solve, at least to some extent, one of the technical problems in the related art. To this end, one object of the present invention is to provide a method for monitoring leakage in a liquid pipeline network, which can achieve high-precision positioning of liquid pipeline network leakage and reduce the rate of missed detection and false detection.

[0007] A second object of the present invention is to provide an electronic device.

[0008] The third object of the present invention is to provide a liquid pipeline leakage monitoring device.

[0009] To achieve the above-mentioned purpose, the liquid pipeline leakage monitoring method proposed in the first aspect of the embodiment of the present invention includes: obtaining hydroacoustic data collected by each water hydrant device in the liquid pipeline network; judging whether the liquid pipeline network has a leakage based on the hydroacoustic data collected by each of the water hydrant devices; if so, determining at least one group of water hydrant devices, wherein each group of water hydrant devices includes two water hydrant devices, and the two water hydrant devices are located on both sides of the leakage point; based on the hydroacoustic data collected by each group of water hydrant devices, determining the location of the leakage point in the liquid pipeline network.

[0010] In addition, the liquid pipe network leakage monitoring method according to the embodiment of the present invention may also have the following additional technical features:

[0011] According to one embodiment of the present invention, the determining of at least one group of water faucet devices includes: combining target water faucet devices in pairs, wherein the target water faucet devices are the water faucet devices corresponding to the hydroacoustic data that detects leakage in the liquid pipeline network; for each combination, using a generalized cross-correlation algorithm based on the hydroacoustic data collected by the two water faucet devices in the combination, obtaining the time delay of the sound signal of the leakage point reaching the two water faucet devices in the combination; and when it is judged that the leakage point is between the two water faucet devices in the combination based on the time delay, the combination is used as a selected group of water faucet devices.

[0012] According to one embodiment of the present invention, the method of using a generalized cross-correlation algorithm to obtain the time delay of the sound signal at the leakage point reaching the two water hydrant devices in the combination based on the hydroacoustic data collected by the two water hydrant devices in the combination includes: performing segmented Fourier transform processing on the hydroacoustic data collected by the two water hydrant devices in the combination to obtain a first frequency domain signal and a second frequency domain signal; obtaining the cross-spectrum function and frequency weighting function of the sound signal at the leakage point based on the conjugate signal of the first frequency domain signal and the second frequency domain signal; calculating the generalized cross-correlation function based on the cross-spectrum function and the frequency weighting function, and performing inverse Fourier transform processing on the generalized cross-correlation function to obtain generalized cross-correlation data; and taking the moment corresponding to the maximum value in the generalized cross-correlation data as the time delay.

[0013] According to one embodiment of the present invention, the generalized cross-correlation function is expressed as:

[0014]

[0015] Among them, R j [τ] represents the generalized correlation function of the j-th time domain segment, τ is the time, I is the preset time domain segment length, i is the i-th frequency point in the corresponding time domain interval, A[ω] is the frequency weighting function, M[ω] is the first frequency domain signal, N[ω] *is the conjugate signal of the second frequency domain signal, P[ω] is the cross-spectral function, P[ω]=M[ω]·N[ω] * ,

[0016] According to one embodiment of the present invention, the two water faucet devices in the combination are respectively a first water faucet device and a second water faucet device. If the corresponding time delays meet the following conditions, it is determined that the first water faucet device and the second water faucet device are located on both sides of the leakage point:

[0017]

[0018] Where Δτ m,n is the time delay between the first water faucet device and the second water faucet device, c is the propagation speed of the sound signal in the liquid pipe network, and v is the pipe length between the first water faucet device and the second water faucet device.

[0019] m,n

[0020] Internal water flow velocity, l is the distance between the first water faucet device and the second water faucet device.

[0021] m,n

[0022] According to one embodiment of the present invention, the location of the leakage point in the liquid pipeline network is determined based on the hydroacoustic data collected by each group of water hydrant equipment, including: for each group of water hydrant equipment, respectively calculating the distance between the leakage point location and two water hydrant devices in the group; constructing a leakage location matrix based on the distance, wherein the leakage location matrix is a linear matrix; solving the leakage location matrix, and obtaining the leakage point location based on the solution result.

[0023] According to one embodiment of the present invention, the leakage localization matrix is as follows:

[0024]

[0025] Among them, l m is the distance between the first water faucet device and the leakage point, l n is the distance between the second water faucet device and the leakage point.

[0026] According to one embodiment of the present invention, x groups of water faucet equipment are determined, and the solution results include x solutions. The method of obtaining the leakage point location based on the solution results includes: converting the x solutions to obtain a parameter matrix of the leakage point location; constructing a maximum likelihood function based on the parameter matrix; obtaining the distance between the leakage point location and a preset fixed water faucet device according to the maximum likelihood function, and obtaining the leakage point location based on the distance and the location of the preset fixed water faucet.

[0027] To achieve the above-mentioned purpose, the electronic device proposed in the second embodiment of the present invention includes a memory, a processor and a computer program stored on the memory, and is characterized in that when the computer program is executed by the processor, it implements the liquid pipeline leakage monitoring method described in the first embodiment of the present invention.

[0028] To achieve the above-mentioned purpose, a liquid pipe network leakage monitoring system is proposed in an embodiment of the third aspect of the present invention, and the system includes: water faucet devices in the liquid pipe network and the electronic device according to the embodiment of the second aspect of the present invention.

[0029] According to the liquid pipeline leakage monitoring method, system and electronic device of the embodiments of the present invention, before performing leakage monitoring, the method first determines whether there is a leak in the liquid pipeline based on the hydroacoustic data collected by each water hydrant device in the liquid pipeline. If there is a leak, at least one group of water hydrant devices located on both sides of the leakage point is determined, and then the leakage point in the liquid pipeline is located for this group of water hydrant devices, thereby achieving high-precision positioning of liquid pipeline leakage and reducing the missed detection and false detection rate.

[0030] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 1 is a flow chart of a method for monitoring leakage of a liquid pipe network according to an embodiment of the present invention;

[0032] Figure 2 1 is a flow chart of step S103 in a method for monitoring leakage of a liquid pipe network according to an embodiment of the present invention;

[0033] Figure 3 1 is a flow chart of a method for obtaining a time delay in a method for monitoring leakage of a liquid pipeline network according to an embodiment of the present invention;

[0034] Figure 4 1 is a flow chart of step S104 in a method for monitoring leakage of a liquid pipe network according to an embodiment of the present invention;

[0035] Figure 5This is a schematic diagram of a flow chart of obtaining the location of a leakage point according to a solution result in a method for monitoring leakage of a liquid pipe network according to an embodiment of the present invention;

[0036] Figure 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;

[0037] Figure 7 It is a structural diagram of a liquid pipeline leakage monitoring system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0039] Please refer to the following Figure 1-7 The present invention describes a method, system and electronic device for monitoring leakage in a liquid pipeline network according to an embodiment of the present invention.

[0040] In some embodiments of the present invention, Figure 1 As shown, the liquid pipeline network leakage monitoring method may include:

[0041] S101, obtaining hydroacoustic data collected by each water faucet device in the liquid pipe network.

[0042] It is understandable that since there are multiple water faucet devices in the liquid pipeline network, by periodically receiving GPS (Global Position System) / Beidou signals and using the GPS / Beidou signals as the time synchronization reference to synchronize the GPS / Beidou time to the collection time of multiple water faucet devices, the time synchronization of the collection work between the water faucet devices in the liquid pipeline network can be achieved.

[0043] Optionally, the hydroacoustic data collected by each water hydrant device includes but is not limited to amplitude, energy, root mean square, and number of impacts.

[0044] S102: Determine whether there is leakage in the liquid pipe network based on the hydroacoustic data collected by each water faucet device.

[0045] It is understandable that the characteristics of liquid pipeline leakage signals are variable and complex, specifically related to factors such as the leak point, the material of the liquid pipeline, the diameter of the liquid pipeline, the medium flow rate, the pressure within the pipe, and the propagation distance. Liquid pipeline leakage is a transient phenomenon in the flow of fluid within the pipe. When a leak occurs, a negative subwave propagates upstream and downstream along the liquid pipeline. Simultaneously, when a leak occurs in a liquid pipeline, the leak point causes local vibration due to the pressure differential between the inside and outside of the liquid pipeline. This vibration source, in the form of acoustic waves, propagates rapidly toward both ends of the liquid pipeline in the fluid medium, primarily in the form of longitudinal plane waves. Therefore, in some embodiments, by studying the amplitude-frequency characteristics of hydroacoustic data, it is possible to determine whether a leak in a liquid pipeline occurs by stimulating a continuous acoustic emission signal. This signal carries a wealth of information about the leak source, the structure of the liquid pipeline, and its operating status. By specifically analyzing this signal, it is possible to determine whether a leak has occurred in the liquid pipeline. It should be noted that the above-mentioned implementation method of determining whether a liquid pipeline network leaks based on hydroacoustic data is only exemplary. In the specific implementation process, other judgment methods can also be selected according to actual needs or the historical experience of relevant staff. No specific restrictions are made in the embodiments of the present invention.

[0046] S103: If yes, determine at least one group of water hydrant devices, wherein each group of water hydrant devices includes two water hydrant devices, and the two water hydrant devices are located on both sides of the leakage point.

[0047] That is to say, after determining that a leak occurs in the liquid pipeline network, it is necessary to identify at least one set of water hydrant equipment located on both sides of the leak point in order to carry out subsequent leak point positioning work.

[0048] S104: Determine the location of the leakage point in the liquid pipe network based on the hydroacoustic data collected by each group of water hydrant equipment.

[0049] Specifically, since it is determined according to step S103 that the water hydrant devices located on both sides of the leakage point may include multiple groups, based on each group of water hydrant devices, the hydroacoustic data collected by the group of water hydrant devices needs to be analyzed to determine whether the leakage point in the liquid pipeline network is located between the group of water hydrant devices, and when the leakage point is located between the group of water hydrant devices, the collected hydroacoustic data is further analyzed to determine the specific location information of the leakage point in the liquid pipeline network.

[0050] As a possible implementation, Figure 2 As shown, step S103 in the liquid pipe network leakage monitoring method, i.e., determining at least one group of water faucet equipment, may specifically include:

[0051] S201 , combining target water faucet devices in pairs, wherein the target water faucet devices are water faucet devices corresponding to the hydroacoustic data that detects leakage in the liquid pipe network.

[0052] It is understandable that since there are multiple water faucet devices in the liquid pipeline network, and multiple water faucet devices can collect hydroacoustic data separately, by analyzing multiple sets of hydroacoustic data, the hydroacoustic data that can be used to determine that there is a leakage in the liquid pipeline network can be selected, and the water faucet devices corresponding to the selected hydroacoustic data will be used as target water faucet devices.

[0053] In other words, when performing leakage analysis on the hydroacoustic data corresponding to the target water faucet equipment, it can be determined that a leak has occurred in the liquid pipeline network.

[0054] S202. For each combination, a generalized cross-correlation algorithm is used to obtain the time delay of the sound signal at the leakage point reaching the two water hydrant devices in the combination based on the hydroacoustic data collected by the two water hydrant devices in the combination. When it is determined that the leakage point is between the two water hydrant devices in the combination based on the time delay, the combination is used as a selected group of water hydrant devices.

[0055] Specifically, by combining the target water faucet devices in pairs, multiple groups of target water faucet devices can be obtained. However, in these combinations, there may be situations where two water faucet devices are located on the same side of the leak point. It is understandable that if the two selected water faucet devices are located on one side of the leak point, it is impossible to locate the leak point in the liquid pipeline network through correlation analysis of the two water faucet devices. Therefore, in this implementation method, for each group of target water faucet devices, the time delay calculation is performed on the hydroacoustic data collected from the two target water faucet devices in the group through the generalized cross-correlation algorithm. If it is judged that the leak point is between the two water faucet devices in the combination based on the time delay, the combination is selected as a group of water faucet devices. In other words, the combination corresponding to the two water faucet devices located on the same side of the leak point can be excluded through analysis of the time delay.

[0056] As a feasible implementation method, Figure 3 As shown, the time delay of the sound signal from the leakage point reaching the two water hydrants in the combination is obtained based on the hydroacoustic data collected by the two water hydrants in the combination using the generalized cross-correlation algorithm, which can specifically include:

[0057] S301 , performing segmented Fourier transform processing on the hydroacoustic data collected by the two water hydrant devices in the combination to obtain a first frequency domain signal and a second frequency domain signal.

[0058] S302 : Obtain a cross-spectral function and a frequency weighting function of the leakage point sound signal according to a conjugate signal of the first frequency domain signal and the second frequency domain signal.

[0059] S303 , obtaining a generalized cross-correlation function based on the cross-spectral function and the frequency weighting function, and performing inverse Fourier transform processing on the generalized cross-correlation function to obtain generalized cross-correlation data.

[0060] S304: Taking the time corresponding to the maximum value in the generalized cross-correlation data as the time delay.

[0061] Specifically, the generalized cross-correlation algorithm calculates the cross-spectrum between two signals (i.e., the first frequency domain signal and the second frequency domain signal) and gives a certain frequency weighting in the frequency domain, thereby whitening the signal and noise, enhancing the frequency components with a higher signal-to-noise ratio in the signal, thereby suppressing the influence of noise, and then inversely transforming to the time domain to obtain the generalized cross-correlation function between the two signals.

[0062] It is understandable that after obtaining the generalized cross-correlation function and performing an inverse Fourier transform, the generalized cross-correlation data can be obtained. Because in practice, due to the influence of noise, there may not be an obvious peak in the generalized cross-correlation data. In order to highlight the peak, the generalized cross-correlation data can be filtered first, thereby obtaining a higher delay estimation accuracy. Specifically, after performing noise reduction filtering on the generalized cross-correlation data, a one-dimensional array is obtained. The one-dimensional array includes multiple data, and these data correspond to different moments. The multiple data in the one-dimensional array are traversed to obtain the maximum value of the generalized cross-correlation data, and then the moment corresponding to the maximum value is used as the time delay in this embodiment. It is understandable that the time delay is one of the multiple different moments corresponding to the multiple data in the above-mentioned generalized cross-correlation data.

[0063] As an example, the generalized cross-correlation function is expressed as:

[0064]

[0065] Among them, R j [τ] represents the generalized correlation function of the jth time domain segment, τ is the time, I is the preset time domain segment length, i is the i-th frequency point in the corresponding time domain interval, A[ω] is the frequency weighting function, M[ω] is the first frequency domain signal, N[ω] * is the conjugate signal of the second frequency domain signal, P[ω] is the cross-spectral function, P[ω]=M[ω]·N[ω] * ,

[0066] It should be noted that if the water faucet equipment collects hydroacoustic data of the liquid pipeline network for a long period of time at one time, it will result in a large amount of calculation. Therefore, when determining the generalized cross-correlation function in this example, the collected data will be segmented in the time domain, that is, the data will be uploaded in segments to reduce the amount of calculation and thus reduce the difficulty of implementation.

[0067] It should be noted that the frequency weighting function A[ω] here is selected as the PHAT (PHAse Transformation) weighting function. In practical applications, the weighting function can also be adaptively adjusted or modified according to actual conditions or specific applications. This does not serve as a specific limitation to the embodiments of the present invention.

[0068] As an example, the time delay can be determined as follows:

[0069] Δτ m,n =argmaxR j [τ]

[0070] Where Δτ m,n The above time delay.

[0071] It is understandable that argmax() is a function that finds the parameter (set) of a function, that is, a function that finds the maximum independent variable. In this embodiment, it can be understood as the calculation of the maximum value of the generalized cross-correlation data in the generalized cross-correlation function.

[0072] Furthermore, after calculating the time delay between two hydrants in a group receiving the hydroacoustic signal, the location of these two hydrants relative to the leak point must be determined. If the leak point in the liquid pipeline network is located on the same side of the two hydrants, the leak point location cannot be determined. Therefore, before calculating the leak point location for any two hydrants in the liquid pipeline network that can receive the signal, it is necessary to first exclude the possibility of the leak point being on the same side. This requires considering whether the direction of sound signal propagation is in the same direction as the water flow in the pipeline, or in the opposite direction.

[0073] As a possible implementation, the two water hydrant devices in the combination are respectively the first water hydrant device and the second water hydrant device. If the corresponding time delays meet the following conditions, it is determined that the first water hydrant device and the second water hydrant device are located on both sides of the leakage point:

[0074]

[0075] Where Δτ m,n is the time delay between the first water faucet device and the second water faucet device, c is the propagation speed of the sound signal in the liquid pipe network, v is the water flow speed in the pipe between the first water faucet device and the second water faucet device, l is the distance between the first water faucet device and the second water faucet device in m, nm, and n.

[0076] Further, after determining at least one group of water tap equipment, if Figure 4As shown, step S104 in the liquid pipe network leakage monitoring method, i.e., determining the location of the leakage point in the liquid pipe network based on the hydroacoustic data collected by each group of water hydrant equipment, may specifically include:

[0077] S401: For each group of water hydrant devices, respectively calculate the distance between the leakage point and two water hydrant devices in the group.

[0078] As an example, for each group of water hydrant devices, the distance between the leak point and the two water hydrant devices in the group can be calculated using the following formula:

[0079]

[0080]

[0081] Among them, l m is the distance between the first water hydrant and the leakage point, l n It is the distance between the second water hydrant device and the leakage point.

[0082] S402: Construct a leakage location matrix according to the distance, wherein the leakage location matrix is a linear matrix.

[0083] As an example, the leak localization matrix is as follows:

[0084]

[0085] Among them, l m is the distance between the first water hydrant and the leakage point, l n It is the distance between the second water hydrant device and the leakage point.

[0086] S403, solving the leakage location matrix, and obtaining the leakage point location according to the solution result.

[0087] As a feasible implementation method, x groups of water tap equipment are determined, and the results obtained by solving the leakage location matrix include x solutions, such as Figure 5 As shown, the leak point location is obtained according to the solution results, which may include:

[0088] S501: Convert the x solutions to obtain a parameter matrix of the leakage point location.

[0089] It is understood that solving the leak location matrix yields x solutions, each of which represents the distance parameter relationship between each set of hydrant devices and the leak location. Optionally, these x solutions are transformed based on a preset fixed hydrant device to obtain a parameter matrix for the leak location.

[0090] As a feasible implementation, the method for selecting the preset fixed water faucet device may include: the water faucet device with the highest sound signal reception strength should be closest to or closer to the leak point. Therefore, the water faucet device with the highest signal strength should be selected as the preset fixed water faucet device. This can also facilitate on-site measurement and construction in actual applications. It should be noted that the above-mentioned implementation is only an exemplary method for selecting the preset fixed water faucet device. In actual application, adaptive adjustments can be made based on specific circumstances or the historical experience of relevant personnel.

[0091] As an example, the parameter matrix of the leak point location is L = [l1 l2 … l i … l x ].

[0092] S502, constructing a maximum likelihood function based on the parameter matrix.

[0093] As an example, the maximum likelihood function constructed based on the parameter matrix is as follows:

[0094]

[0095] Among them, L(V,T,L i ) is the maximum likelihood function, T is the time delay between the i-th group of water tap devices in the parameter matrix, l i (V,T,L i ) is the distance between the i-th water tap device and the preset fixed water tap device in the parameter matrix, f(l i ) is the distance l between the leakage point in the liquid pipe network and the preset fixed water faucet equipment i The probability density function of , ε is the preset standard deviation of the positioning distance noise, It is the maximum likelihood estimated distance between the leakage point in the liquid pipe network and the preset fixed water faucet equipment.

[0096] S503: Obtain the distance between the leakage point and a preset fixed water faucet according to the maximum likelihood function, and obtain the leakage point location according to the distance and the location of the preset fixed water faucet.

[0097] As an example, the distance between the leak point and the preset fixed water hydrant device can be determined by solving the maximum value of the maximum likelihood function. In the specific calculation, the solution to the maximum value of the above maximum likelihood function can be converted into the calculation of the minimum value of the following formula: Since the leakage location matrix is a linear function, it is relatively easy to find L'(V, T, L i ), that is, The distance between the leak point and the preset fixed water faucet device is thus obtained. Then, based on this distance and the position of the preset fixed water faucet, the location of the leak point can be determined, realizing the location of the liquid pipe network leak.

[0098] According to the liquid pipeline leakage monitoring method of an embodiment of the present invention, before leak monitoring is performed, it is first determined whether a leak occurs in the liquid pipeline based on the hydroacoustic data collected by each water hydrant device in the liquid pipeline. If a leak occurs, at least one group of water hydrant devices located on both sides of the leak point is determined, and then the leak point in the liquid pipeline is located for this group of water hydrant devices. This can achieve high-precision positioning of liquid pipeline leaks and reduce the missed detection and false detection rates.

[0099] Furthermore, an embodiment of the present invention provides an electronic device.

[0100] like Figure 6 As shown, the electronic device 300 of the embodiment of the present invention includes a memory 302, a processor 304 and a computer program 306 stored in the memory 302. When the computer program 306 is executed by the processor 304, the liquid pipeline leakage monitoring method of the above embodiment of the present invention is implemented.

[0101] Furthermore, an embodiment of the present invention provides a liquid pipeline leakage monitoring system.

[0102] like Figure 7 As shown, the liquid pipe network leakage monitoring system 100 according to the embodiment of the present invention includes water faucet devices 200 in the liquid pipe network and the electronic device 300 according to the above embodiment of the present invention.

[0103] It should be noted that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device), or in conjunction with such instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by an instruction execution system, apparatus, or device, or in conjunction with such instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion having one or more wires (electronic device), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0104] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0105] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0106] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like to indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0107] In addition, the terms "first" and "second" used in the embodiments of the present invention are only used for descriptive purposes and should not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features indicated in this embodiment. Therefore, the features defined by the terms "first" and "second" in the embodiments of the present invention can explicitly or implicitly indicate that the embodiment includes at least one of such features. In the description of the present invention, the word "plurality" means at least two or two or more, such as two, three, four, etc., unless otherwise clearly and specifically defined in the embodiments.

[0108] In the present invention, unless otherwise clearly specified or limited in the embodiments, the terms "installed," "connected," "connect," and "fixed" appearing in the embodiments should be understood in a broad sense. For example, the connection may be a fixed connection, a detachable connection, or an integral connection. It can also be a mechanical connection, an electrical connection, etc.; of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be internal communication between two elements, or an interaction between two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood based on the specific implementation.

[0109] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediary. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0110] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for monitoring leakage of a liquid pipe network, characterized in that: The method comprises: Obtain hydroacoustic data collected by each water hydrant device in the liquid pipeline network; Determining whether the liquid pipe network has a leak based on the hydroacoustic data collected by each of the water hydrant devices; If it occurs, at least one group of water hydrant devices is determined, wherein each group of water hydrant devices includes two water hydrant devices, and the two water hydrant devices are located on both sides of the leakage point; Determining the location of a leak in the liquid pipe network based on hydroacoustic data collected by each group of water hydrant devices; determining at least one group of water hydrant devices includes: Combining target water faucet devices in pairs, wherein the target water faucet devices are water faucet devices corresponding to the hydroacoustic data that detects leakage in the liquid pipe network; For each combination, a generalized cross-correlation algorithm is used to obtain a time delay between the sound signal at the leakage point and the two water hydrants in the combination based on hydroacoustic data collected from the two water hydrants in the combination. When the leakage point is determined to be between the two water hydrants in the combination based on the time delay, the combination is used as a selected group of water hydrants. The method of obtaining the time delay between the sound signal at the leakage point and the two water hydrants in the combination based on the hydroacoustic data collected from the two water hydrants in the combination using the generalized cross-correlation algorithm includes: Performing segmented Fourier transform processing on the hydroacoustic data collected by the two water hydrant devices in the combination to obtain a first frequency domain signal and a second frequency domain signal; Obtaining a cross-spectrum function and a frequency weighting function of the leakage point sound signal according to a conjugate signal of the first frequency domain signal and the second frequency domain signal; The generalized cross-correlation function is calculated according to the cross-spectral function and the frequency weighting function, and the generalized cross-correlation function is subjected to inverse Fourier transform processing to obtain generalized cross-correlation data; The time corresponding to the maximum value in the generalized cross-correlation data is taken as the time delay; the two water faucet devices in the combination are respectively the first water faucet device and the second water faucet device. If the corresponding time delays meet the following conditions, it is determined that the first water faucet device and the second water faucet device are located on both sides of the leakage point: in, is the time delay between the first water faucet device and the second water faucet device, is the propagation speed of the sound signal in the liquid pipe network, is the water flow velocity in the pipe between the first water faucet device and the second water faucet device, is the distance between the first water faucet device and the second water faucet device.

2. The liquid pipe network leakage monitoring method according to claim 1, characterized in that: The generalized cross-correlation function is expressed as: in, represents the generalized correlation function of the j-th time domain segment, For the moment, is the preset time domain segment length, i is the i-th frequency point in the corresponding time domain interval, A[ ] is the frequency weighting function, , is the first frequency domain signal, is the conjugate signal of the second frequency domain signal, P[ ] is the cross-spectral function, , .

3. The liquid pipe network leakage monitoring method according to claim 1, characterized in that: The determining of the location of the leakage point in the liquid pipe network based on the hydroacoustic data collected by each group of water hydrant equipment includes: For each group of water hydrant devices, respectively calculating the distance between the leakage point and two water hydrant devices in the group; Constructing a leakage location matrix according to the distance, wherein the leakage location matrix is a linear matrix; Solve the leakage location matrix and obtain the leakage point position according to the solution result.

4. The method for monitoring leakage of a liquid pipe network according to claim 3, characterized in that: The leakage localization matrix is as follows: in, is the distance between the first water faucet device and the leakage point, is the distance between the second water faucet device and the leakage point.

5. The method for monitoring leakage of a liquid pipe network according to claim 3, characterized in that: Determine x groups of water hydrant equipment, the solution results include x solutions, and obtain the leakage point location according to the solution results, including: Converting the x solutions to obtain a parameter matrix of the leakage point location; constructing a maximum likelihood function based on the parameter matrix; The distance between the position of the leakage point and a preset fixed water faucet device is obtained according to the maximum likelihood function, and the position of the leakage point is obtained according to the distance and the position of the preset fixed water faucet.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory, characterized in that: When the computer program is executed by the processor, the liquid pipeline network leakage monitoring method according to any one of claims 1 to 5 is implemented.

7. A liquid pipe network leakage monitoring system, characterized in that: The system comprises: water faucet devices in the liquid pipe network and the electronic device according to claim 6.

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