Water supply network leakage detection method, device, equipment, medium and program product
By introducing a leak loss detection method built by a chaotic system into the water supply pipeline network, a chaotic system with noise immunity is used to judge the pipeline leakage, solving the problem of noise impact in the leakage detection of the water supply pipeline network, and achieving efficient and accurate leakage positioning.
Patent Information
- Application Number
- CN202510373418.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-27
- Publication Date
- 2025-07-04
AI Technical Summary
The existing water supply pipeline leakage detection methods are affected by noise, resulting in low detection efficiency and accuracy, especially in complex underground environments, it is difficult to effectively deal with pipeline leakage sound signals.
A chaotic system is used to build a pipeline leakage detection system. By introducing external sound signals into the chaotic system, using the noise immunity of the chaotic system, we can judge whether there is leakage in the pipeline, and determine the leakage position by observing the chaotic oscillation of the system state.
It effectively reduces the impact of noise on detection, improves the efficiency and accuracy of pipeline leakage detection, and can accurately locate the leakage position in strong noise and non-Gaussian noise environments without the need for complex noise reduction processing processes.
Smart Images
Figure CN120251919A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of electronic technology, and particularly to a method, device, equipment, medium and program product for detecting water leakage in a water supply pipeline network. Background Art
[0002] A water supply pipeline network is a pipeline system for transporting drinking water or industrial water, mainly transporting water sources from water treatment plants to various areas of a city to meet the living and production water demands of residents, commerce and industry. Over time, aging and corrosion of pipeline materials can cause the pipe wall to become thinner, and even leakage phenomena such as cracks or holes may occur. In addition, factors such as earthquakes, ground subsidence or construction may also cause water supply pipeline leakage. Pipeline leakage is a common problem that requires timely detection and repair to reduce water resource waste and losses in the water supply system.
[0003] According to industry standards, it is generally required that water supply units should carry out leak detection and general surveys on water supply pipelines in the region, and the leak detection cycle should be no less than once a year, and no less than twice a year in key areas. However, with the expansion of the water supply pipeline network and the increase in pipelines and ancillary facilities, the difficulty of detecting pipeline leakage has increased significantly. Traditional methods for detecting water leakage in water supply pipeline networks mainly rely on sound signals, either by listening manually or by processing and analyzing sound signals, and based on the analysis results to determine whether there is leakage in the pipeline, so as to achieve leak detection in the water supply pipeline network. However, water supply pipeline networks are generally buried deep underground. Due to the complex underground environment and pipeline system, the sound signals of pipeline leakage are often affected by noise. Especially when the noise intensity is greater than the sound signal, or the noise does not follow a Gaussian distribution, it brings great difficulties to the processing of the sound signals of pipeline leakage, and multiple detections may be required, resulting in low detection efficiency and accuracy. Therefore, there is an urgent need to propose a more advanced and effective method for detecting water leakage in water supply pipeline networks. Summary of the Invention
[0004] In view of this, the present invention provides a method, device, equipment, medium and program product for detecting water leakage in a water supply pipeline network to solve the problem in related technologies that when detecting pipeline leakage by analyzing sound data, the adverse effects brought by noise cannot be overcome, resulting in low detection efficiency and accuracy.
[0005] In a first aspect, the present invention provides a method for detecting water leakage in a water supply pipeline network, the method including: obtaining a first sound signal of a water supply pipeline to be detected and a first position corresponding to the first sound signal; inputting the first sound signal into a pre-constructed pipeline leakage detection system to obtain a first target system, where the pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system; observing the system state of the first target system to obtain a first state of the first target system; if it is determined based on the first state that the first target system exhibits chaotic oscillation, determining that there is leakage at the first position of the water supply pipeline to be detected.
[0006] The method for detecting water leakage in a water supply network provided by the present invention obtains a first target system by inputting a first sound signal into a pre-constructed pipeline leakage detection system, and the pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system; observing the system state of the first target system to obtain a first state of the first target system; and determining whether there is a leakage at a first position of a water supply pipeline to be detected based on the first state. In the method provided by the present invention, the sound signal of the pipeline to be detected is input into the pipeline leakage detection system, and whether there is a leakage in the pipeline is judged by the state of the system. The pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system. Since the chaotic system has the property of noise immunity, when the collected first signal is input into the pipeline leakage detection system constructed based on the chaotic system, the system is only excited by the water leakage sound signal to generate chaotic oscillation, and the influence of noise is suppressed by the property of the chaotic system. Since the underwater sound signal is larger than the background signal when the pipeline leaks, under the action of signal gain, the amplitude of the signal is greater than the threshold value, which can excite the pipeline leakage detection system to generate chaotic oscillation, thereby realizing pipeline leakage detection, effectively reducing the influence of noise in the detection process, and improving the efficiency and accuracy of pipeline leakage detection.
[0007] In an alternative embodiment, the step of observing the system state of the first target system to obtain a first state of the first target system includes: calculating a stability index of the first target system; and determining the first state of the first target system based on the stability index.
[0008] The method provided by this alternative embodiment can accurately evaluate the state of the first target system through the stability index of the first target system, further improving the efficiency and accuracy of pipeline leakage detection.
[0009] In an alternative embodiment, the pipeline leakage detection system is constructed through the following steps: obtaining a Chen chaotic system model; and introducing an external sound signal into the chaotic system to obtain the pipeline leakage detection system.
[0010] In an alternative embodiment, the pipeline leakage detection system is:
[0011]
[0012] wherein, x(t), y(t), and z(t) respectively represent three state variables of the system; a, b, c, and d represent system parameters; f(t) represents an external sound signal, r(t) represents a background signal, G is a signal gain; represents the fractional calculus symbol, and q represents the fractional order of the system.
[0013] In an alternative embodiment, the step of inputting the first sound signal into a pre-constructed pipeline leakage detection system to obtain a first target system includes: acquiring material information and pipeline burial depth information of a water supply pipeline to be detected; determining a first signal gain value based on the material information and the pipeline burial depth information; and inputting the first sound signal and the first signal gain value into the pre-constructed pipeline leakage detection system to obtain a first target system.
[0014] In an alternative embodiment, after the step of determining that there is a leakage at a first position of the water supply pipeline to be detected if it is determined based on the first state that the first target system exhibits chaotic oscillation, the method further includes: reducing the signal gain of the first target system to make the first target system enter a stable state, thereby obtaining a second target system; acquiring a second sound signal of the water supply pipeline to be detected and a second position corresponding to the second sound signal, where the second position is the next detection position after the first position; inputting the second sound signal into the second target system to obtain a third target system; observing the stability of the third target system to obtain the system state of the third target system; and determining whether there is a leakage at the second position of the water supply pipeline to be detected based on the system state of the third target system.
[0015] The method provided in this alternative embodiment is based on the fact that a pipeline leakage signal can stimulate a chaotic system to produce a state change. The leakage location of the pipeline can be located by adjusting the signal gain and analyzing the state change of the chaotic system.
[0016] In a second aspect, the present invention provides a water supply network leakage detection device, which includes: a first acquisition module for acquiring a first sound signal of a water supply pipeline to be detected and a first position corresponding to the first sound signal; a first determination module for inputting the first sound signal into a pre-constructed pipeline leakage detection system to obtain a first target system, where the pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system; a first observation module for observing the system state of the first target system to obtain a first state of the first target system; and a second determination module for determining that there is a leakage at the first position of the water supply pipeline to be detected if it is determined based on the first state that the first target system exhibits chaotic oscillation.
[0017] In a third aspect, the present invention provides a computer device, which includes: a memory and a processor that are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the water supply network leakage detection method according to the first aspect or any corresponding embodiment thereof.
[0018] Fourthly, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the water supply network leakage detection method according to the first aspect or any corresponding embodiment thereof.
[0019] Fifthly, the present invention provides a computer program product, including computer instructions, and the computer instructions are used to cause a computer to execute the water supply network leakage detection method according to the first aspect or any corresponding embodiment thereof. Description of the Drawings
[0020] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required to be used in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0021] Figure 1 is a schematic flowchart of the water supply network leakage detection method according to an embodiment of the present invention;
[0022] Figure 2 is a schematic flowchart of another water supply network leakage detection method according to an embodiment of the present invention;
[0023] Figure 3 is a schematic diagram of the propagation characteristics of the sound intensity of the leakage water sound at the leakage point of the pipeline in an embodiment of the present invention;
[0024] Figure 4 is a schematic flowchart of yet another water supply network leakage detection method according to an embodiment of the present invention;
[0025] Figure 5 is a structural block diagram of the water supply network leakage detection device according to an embodiment of the present invention;
[0026] Figure 6 is a schematic hardware structure diagram of the computer device in an embodiment of the present invention. Detailed Embodiments
[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0028] In the related art, mainly through sound signals, by manually listening to the sound or processing and analyzing the sound signals, based on the analysis results to determine whether there is leakage in the pipeline, so as to realize the leakage detection of the water supply network. However, the water supply network is generally buried deep underground. Due to the complex underground environment and pipeline system, the sound signals of pipeline leakage are often affected by noise. Especially when the noise intensity is greater than the sound signal, or the noise does not follow the Gaussian distribution, it brings great difficulties to the processing of the sound signals of pipeline leakage, and multiple detections may be required, resulting in low detection efficiency and accuracy.
[0029] In view of this, a method for detecting leakage in a water supply network provided in an embodiment of the present application can be applied to a server to realize the leakage detection of the water supply network. The method provided by the present invention inputs the sound signal of the pipeline to be detected into the pipeline leakage detection system, and judges whether there is leakage in the pipeline through the state of the system. The pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system. Since the chaotic system has the property of noise immunity, when the collected first signal is input into the pipeline leakage detection system constructed based on the chaotic system, the system is only excited by the leakage sound signal to generate chaotic oscillations, and the influence of noise is suppressed by the property of the chaotic system. Since the underwater sound signal is larger than the background signal when the pipeline leaks, under the action of signal gain, the amplitude of the signal is greater than the threshold, which can excite the pipeline leakage detection system to generate chaotic oscillations, thereby realizing the pipeline leakage detection, effectively reducing the influence of noise in the detection process, and improving the detection efficiency and accuracy of pipeline leakage. By adjusting the parameters of the chaotic system and using the state change of the chaotic system, the location of the pipeline leakage can be realized.
[0030] According to an embodiment of the present invention, an embodiment of a method for detecting leakage in a water supply network is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.
[0031] In this embodiment, a method for detecting leakage in a water supply network is provided, which can be used for the above-mentioned server. Figure 1 It is a flowchart of a method for detecting leakage in a water supply network according to an embodiment of the present invention. As Figure 1 shown, the process includes the following steps:
[0032] Step S101, obtain the first sound signal of the water supply pipeline to be detected and the first position corresponding to the first sound signal.
[0033] Exemplarily, the water supply pipeline to be detected can be a pipeline that needs to be detected for leakage. The first sound signal is collected by a sound sensor. The first sound signal is the sound signal of the pipeline to be detected collected by the sound sensor at the first position, and the first position can be any position of the water supply pipeline to be detected.
[0034] Step S102: Input the first sound signal into the pre-constructed pipeline leakage detection system to obtain the first target system.
[0035] Exemplarily, the first target system is the pipeline leakage detection system that inputs the first sound signal. The pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system. The chaotic system has the property of noise immunity and is often used in the field of weak signal detection. The traditional chaotic system is improved by changing the autonomous chaotic system into a non-autonomous system so that it can receive the drive of external signals.
[0036] Step S103: Observe the system state of the first target system to obtain the first state of the first target system.
[0037] Exemplarily, observe the state of the pipeline leakage detection system driven by the external first sound signal.
[0038] Step S104: If it is determined that the first target system has chaotic oscillation based on the first state, it is determined that there is a leakage at the first position of the water supply pipeline to be detected.
[0039] Exemplarily, in the embodiment of the present application, if the first target system has chaotic oscillation, when a leakage signal appears, under the action of signal gain, the water leakage sound signal will stimulate the system to generate chaotic oscillation. When the system has chaotic oscillation, it indicates that there is a pipeline leakage near this point.
[0040] The water supply network leakage detection method provided in this embodiment inputs the sound signal of the pipeline to be detected into the pipeline leakage detection system, and judges whether there is a leakage in the pipeline through the state of the system. The pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system. Since the chaotic system has the property of noise immunity, when the collected first signal is input into the pipeline leakage detection system constructed based on the chaotic system, the system is only stimulated by the water leakage sound signal to generate chaotic oscillation, and the influence of noise is suppressed by the property of the chaotic system. Since the underwater sound signal is larger than the background signal when the pipeline leaks, under the action of signal gain, the amplitude of the signal is greater than the threshold, which can stimulate the pipeline leakage detection system to generate chaotic oscillation, thereby realizing pipeline leakage detection, effectively reducing the influence of noise in the detection process, and improving the efficiency and accuracy of pipeline leakage detection.
[0041] In this embodiment, a water supply network leakage detection method is provided, which can be used for the above-mentioned server.Figure 2 is a flowchart of a method for detecting water leakage in a water supply network according to an embodiment of the present invention. As Figure 2 shown, the process includes the following steps:
[0042] Step S201, obtain a first sound signal of a water supply pipeline to be detected and a first position corresponding to the first sound signal. For details, please refer to Figure 1 step S101 of the embodiment shown, which will not be elaborated here.
[0043] Step S202, input the first sound signal into a pre-constructed pipeline leakage detection system to obtain a first target system. The pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system.
[0044] In some alternative embodiments, the pipeline leakage detection system is constructed through the following steps:
[0045] Step a1, obtain a Chen chaotic system model. Exemplarily, in the embodiments of the present application, the Chen chaotic system model can also be referred to as the Chen system. In the embodiments of the present application, a fractional-order chaotic system is adopted. The chaotic system has the property of noise immunity and is often used in the field of weak signal detection. However, the fractional-order chaotic system has a complex structure, and a complex adjustment process is often required in weak signal detection, seriously affecting the detection efficiency and accuracy. Therefore, it is necessary to adjust the chaotic system according to the propagation properties of the sound signal, including the fractional-order order, system parameters, and system structure. The propagation characteristics of the sound signal can be as follows Figure 3 shown.
[0046] Step a2, introduce an external sound signal into the chaotic system to obtain a pipeline leakage detection system.
[0047] Exemplarily, the pipeline leakage detection system is shown as the following formula:
[0048]
[0049] where x(t), y(t), and z(t) respectively represent the three state variables of the system; a, b, c, and d represent system parameters; f(t) represents the external sound signal, r(t) represents the background signal, G is the signal gain; represents the fractional-order calculus symbol, and q represents the fractional-order order of the system.
[0050] In the embodiments of the present application, the traditional fractional-order Chen chaotic system is an autonomous system and cannot receive external signals, so it cannot process external signals. Therefore, the structure of the fractional-order Chen system is first improved, that is, an external signal is added. The background signal r(t) is the sound signal collected and stored at a normal pipeline. The parameters of the fractional-order chaotic system affect the equilibrium point of the system, and the system equilibrium point determines the dynamic behavior of the system. The parameters of the fractional-order Chen system are designed to obtain a pipeline leakage detection system. According to the characteristics of the leakage sound signal and the stability of the fractional-order system, the parameters of the fractional-order Chen system can be set as: a = 12, b = 1, c = 4, d = 4. The embodiments of the present application do not limit the specific values of the parameters, as long as the system can achieve pipeline leakage detection. Design the fractional order of the fractional-order Chen system. According to the stability of the fractional-order chaotic system, the fractional order of the system can be set as q = 0.96. At this time, the system is in an asymptotically stable state, and the system can exhibit chaotic oscillations under the drive of an external sound signal. Through the design of the parameters and the fractional order of the fractional-order Chen chaotic system in the embodiments of the present application, the system can produce drastic changes in dynamic behavior under the drive of an external signal, improving the convenience of signal detection.
[0051] Specifically, the above step S202 includes:
[0052] Step S2021, obtain the material information of the water supply pipeline to be detected and the pipeline burial depth information.
[0053] Exemplarily, in the embodiments of the present application, the material information of the water supply pipeline to be detected refers to the material information of the pipeline, and the pipeline burial depth information refers to the depth information of the water supply pipeline to be detected underground. The material information and pipeline burial depth information of the water supply pipeline to be detected can be obtained from the water supply network management database, which stores the parameter information and location information of each pipeline in the water supply network.
[0054] Step S2022, determine the first signal gain value based on the material information and the pipeline burial depth information.
[0055] Exemplarily, in the embodiments of the present application, to detect the leakage of the pipeline, it is necessary to quickly discover the leakage sound signal. Therefore, the signal gain needs to be set to be greater than the threshold of 2.8. Different signal gains G are set according to different pipeline materials and pipeline burial depths. Since signal factors such as the size of the leak point and the pipeline burial depth may affect the size of the leakage sound signal, when the underwater sound signal is small, it cannot stimulate the fractional-order Chen chaotic system to produce chaotic oscillations. To quickly detect the leakage sound, the signal gain needs to be set to a larger value. The appropriate size needs to be set according to the actual situation.
[0056] In step S2023, input the first sound signal and the first signal gain value into a pre-constructed pipeline leakage detection system to obtain a first target system.
[0057] In step S203, observe the system state of the first target system to obtain the first state of the first target system.
[0058] Specifically, the above step S203 includes:
[0059] In step S2031, calculate the stability index of the first target system. Exemplarily, in the embodiments of the present application, the stability index may include, but is not limited to, the Lyapunov index. The Lyapunov index is a common method for determining system chaos. It gives a computable chaos determination method from the perspective of time series and describes the separation speed of two similar orbits with extremely small differences in the system phase space over time. The mathematical definition of the system Lyapunov index is:
[0060] |δZ(t)|≈e λt |δZ0|
[0061] where λ represents the Lyapunov index of the system, Z0 represents the initial value of the chaotic system. For the Chen chaotic system, it is generally taken as (x(0), y(0), z(0)) = (-9, -5, 14). Z(t) represents the state value of the chaotic system, that is, x(t), y(t), z(t), and δ is the partial differential symbol.
[0062] In the embodiments of the present application, the amplitude A of the external driving signal (sound signal) can be continuously changed from 0 to 20, and the stability index of the first target system is obtained through the following formula.
[0063] |δx(t)|≈e λt |δx(0)|
[0064] |δy(t)|≈e λt |δy(0)|
[0065] |δz(t)|≈e λt |δz(0)|
[0066] In step S2032, determine the first state of the first target system based on the stability index. Exemplarily, in the embodiments of the present application, when the amplitude of the external signal exceeds a certain threshold, the maximum Lyapunov index of the system is greater than 0. According to the properties of the Lyapunov index of the dynamic system, when the amplitude of the external sound signal exceeds a certain preset threshold, the system presents a chaotic oscillation state. The preset threshold can be 2.8.
[0067] Step S204, if it is determined that the first target system exhibits chaotic oscillation based on the first state, it is determined that there is a leak at the first position of the water supply pipeline to be detected. For details, please refer to Figure 1 Step S103 of the embodiment shown, which will not be elaborated here. The method provided in the embodiments of the present application processes the leak sound signal using a fractional-order chaotic system. By virtue of the noise immunity property of the fractional-order chaotic system, strong noise and non-Gaussian noise can be processed simultaneously, greatly reducing the influence of strong noise and non-Gaussian noise. Compared with other noise processing algorithms, traditional noise reduction algorithms require complex processing procedures and have great ease of use and superiority. Adjusting the signal gain according to the pipeline material and pipeline burial depth improves the applicable range of the proposed method.
[0068] In this embodiment, a method for detecting leaks in a water supply network is provided, which can be used in the above-mentioned server. Figure 3 It is a flowchart of the method for detecting leaks in a water supply network according to an embodiment of the present invention. As Figure 4 shown, the process includes the following steps:
[0069] Step S401, obtain the first sound signal of the water supply pipeline to be detected and the first position corresponding to the first sound signal.
[0070] Step S402, input the first sound signal into a pre-constructed pipeline leak detection system to obtain a first target system. The pipeline leak detection system is obtained by introducing an external sound signal into a chaotic system. For details, please refer to Figure 2 Step S202 of the embodiment shown, which will not be elaborated here.
[0071] Step S403, observe the system state of the first target system to obtain the first state of the first target system. For details, please refer to Figure 2 Step S203 of the embodiment shown, which will not be elaborated here.
[0072] Step S404, if it is determined that the first target system exhibits chaotic oscillation based on the first state, it is determined that there is a leak at the first position of the water supply pipeline to be detected. For details, please refer to Figure 2 Step S203 of the embodiment shown, which will not be elaborated here.
[0073] Step S405, reduce the signal gain of the first target system to make the first target system enter a stable state and obtain a second target system.
[0074] Exemplarily, in the embodiments of the present application, when a leak situation is detected, the position of this point is recorded, and the signal gain is reduced until the system changes from a chaotic state to an asymptotically stable state again.
[0075] Step S406: Obtain the second sound signal of the water supply pipeline to be detected and the second position corresponding to the second sound signal, where the second position is the next detection position of the first position.
[0076] Exemplarily, in the embodiments of the present application, the sound sensor is used to continuously collect sound signals at other points along a certain direction of the pipeline, and the detection positions corresponding to the sound signals are obtained.
[0077] Step S407: Input the second sound signal into the second target system to obtain the third target system.
[0078] Step S408: Observe the stability of the third target system to obtain the system state of the third target system.
[0079] Exemplarily, in the embodiments of the present application, after the first sound signal data system, the state change of the system is observed.
[0080] Step S409: Determine whether there is a leak at the second position of the water supply pipeline to be detected based on the system state of the third target system.
[0081] Exemplarily, in the embodiments of the present application, when the system is excited to be in chaotic oscillation again, it indicates that there is a leak at the corresponding position of the pipeline, and the detection position of the current point is recorded.
[0082] In practice, water supply pipe networks often experience leaks due to factors such as pipeline aging, geological movements, and construction. This not only causes waste of water resources but also leads to environmental pollution and economic losses. Therefore, it is particularly important to regularly inspect water supply pipe networks. The sound-based detection technology is a commonly used and effective method. By capturing the sound signals generated during water leakage, real-time monitoring and analysis of leakage conditions can be achieved. However, the pipes are buried deep underground, and the presence of noise may interfere with the transmission and recognition of sound signals, thus affecting the accuracy and precision of detection. Moreover, the intensity of the noise may be extremely high, and the probability distribution of the noise does not always satisfy the Gaussian distribution. Therefore, in order to improve the efficiency and accuracy of water supply pipe network leakage detection and location, the influence of strong noise and non-Gaussian noise must be considered. The method provided by the embodiments of the present application has the following beneficial effects:
[0083] (1) The fractional-order chaotic system is used to process sound signals. Due to the noise immunity property of the fractional-order chaotic system, the designed method can process strong noise and non-Gaussian noise, and the present solution has great superiority in the presence of strong noise and non-Gaussian noise.
[0084] (2) According to the properties of the designed fractional-order chaotic system, a method for detecting water supply pipe network leakage and locating leakage points is designed. The detection process only requires adjusting one parameter, namely the signal gain, without complex detection processes, improving the detection efficiency.
[0085] (3) Due to the noise immunity property of the fractional-order chaotic system, the designed scheme can detect the leakage of the underground water supply pipeline network and locate the leakage point on the ground. That is, no destructive detection is required.
[0086] (4) Since the signal gain is designed, users can make adaptive adjustments according to the pipeline material and the buried depth of the pipeline, increasing the adaptability of the scheme.
[0087] (5) For the case of a small leakage point, the leakage can also be detected by setting a large signal gain, greatly increasing the detection range of the "size of the leakage point".
[0088] In this embodiment, a water supply pipeline network leakage detection device is also provided. This device is used to implement the above-mentioned embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.
[0089] This embodiment provides a water supply pipeline network leakage detection device, as Figure 5 shown, including:
[0090] The first acquisition module 501 is configured to acquire a first sound signal of a water supply pipeline to be detected and a first position corresponding to the first sound signal;
[0091] The first determination module 502 is configured to input the first sound signal into a pre-constructed pipeline leakage detection system to obtain a first target system, and the pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system;
[0092] The first observation module 503 is configured to observe the system state of the first target system to obtain a first state of the first target system;
[0093] The second determination module 504 is configured to determine that there is a leakage at the first position of the water supply pipeline to be detected if it is determined based on the first state that the first target system exhibits chaotic oscillation.
[0094] In some alternative implementation manners, the first observation module 503 includes:
[0095] A calculation sub-module is configured to calculate a stability index of the first target system;
[0096] A first determination sub-module is configured to determine the first state of the first target system based on the stability index.
[0097] In some alternative embodiments, the pipeline leakage detection system is constructed through the following steps:
[0098] Obtain the Chen chaotic system model;
[0099] Introduce the external sound signal into the chaotic system to obtain the pipeline leakage detection system.
[0100] In some alternative embodiments, the pipeline leakage detection system is:
[0101]
[0102] where x(t), y(t), and z(t) respectively represent the three state variables of the system; a, b, c, and d represent system parameters; f(t) represents the external sound signal, r(t) represents the background signal, G is the signal gain; 0D t q represents the fractional calculus symbol, and q represents the fractional order of the system.
[0103] In some alternative embodiments, the first determination module 502 includes:
[0104] An acquisition sub-module, configured to acquire the material information and pipeline burial depth information of the water supply pipeline to be detected;
[0105] A second determination sub-module, configured to determine the first signal gain value based on the material information and the pipeline burial depth information;
[0106] A third determination sub-module, configured to input the first sound signal and the first signal gain value into the pre-constructed pipeline leakage detection system to obtain a first target system.
[0107] In some alternative embodiments, the device further includes:
[0108] A signal gain adjustment module, configured to reduce the signal gain of the first target system to make the first target system enter a stable state and obtain a second target system;
[0109] A second acquisition module, configured to acquire the second sound signal of the water supply pipeline to be detected and the second position corresponding to the second sound signal, where the second position is the next detection position after the first position;
[0110] A third determination module, configured to input the second sound signal into the second target system to obtain a third target system;
[0111] A second observation module, configured to observe the stability of the third target system to obtain the system state of the third target system;
[0112] A fourth determination module, configured to determine whether there is a leakage at a second position of a water supply pipeline to be detected based on the system state of a third target system.
[0113] The further function descriptions of the above-mentioned various modules and units are the same as those in the corresponding embodiments above, and will not be elaborated here.
[0114] The water supply network leakage detection device in this embodiment is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.
[0115] An embodiment of the present invention further provides a computer device having the above-mentioned Figure 5 shown water supply network leakage detection device.
[0116] Please refer to Figure 6 , Figure 6 is a schematic structural diagram of a computer device provided by an optional embodiment of the present invention. As Figure 6 shown, the computer device includes: one or more processors 10, a memory 20, and an interface for connecting each component, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common main board or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (such as a server array, a set of blade servers, or a multi-processor system). Figure 6 Taking one processor 10 as an example in
[0117] The processor 10 can be a central processing unit, a network processor, or a combination thereof. Among them, the processor 10 can further include a hardware chip. The above-mentioned hardware chip can be an application specific integrated circuit, a programmable logic device, or a combination thereof. The above-mentioned programmable logic device can be a complex programmable logic device, a field programmable gate array, a general array logic, or any combination thereof.
[0118] Among them, the memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiments.
[0119] The memory 20 may include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 may optionally include a memory remotely provided with respect to the processor 10, and these remote memories may be connected to the computer device through a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0120] The memory 20 may include a volatile memory, for example, a random access memory; the memory may also include a non-volatile memory, for example, a flash memory, a hard disk, or a solid-state drive; the memory 20 may also include a combination of the above types of memories.
[0121] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or a communication network.
[0122] The embodiments of the present invention further provide a computer-readable storage medium. The methods according to the embodiments of the present invention may be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented as computer code originally stored in a remote storage medium or a non-transitory machine-readable storage medium and downloaded through a network and to be stored in a local storage medium, so that the methods described herein can be stored in such software processes on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium may be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium may also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the methods shown in the above embodiments are implemented.
[0123] A part of the present invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the present invention through the operations of the computer. Those skilled in the art should understand that the forms of existence of computer program instructions in a computer-readable medium include but are not limited to source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include but are not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Herein, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible by the computer.
[0124] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations all fall within the scope defined by the appended claims.
Claims
1. A method for detecting water leakage in a water supply network, characterized in that, The method includes: Obtaining a first sound signal of a water supply pipeline to be detected and a first position corresponding to the first sound signal; Inputting the first sound signal into a pre-constructed pipeline leakage detection system to obtain a first target system, where the pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system; Observing the system state of the first target system to obtain a first state of the first target system; If it is determined that the first target system exhibits chaotic oscillation based on the first state, it is determined that there is a leakage at the first position of the water supply pipeline to be detected.
2. The method according to claim 1, wherein The step of observing the system state of the first target system to obtain the first state of the first target system includes: Calculating a stability index of the first target system; Determining the first state of the first target system based on the stability index.
3. The method according to claim 1, characterized in that, The pipeline leakage detection system is constructed through the following steps: Obtaining the Chen chaotic system model; Introducing the external sound signal into the chaotic system to obtain the pipeline leakage detection system.
4. The method according to any one of claims 1 to 3, characterized in that, The pipeline leakage detection system is: Among them, x(t), y(t), and z(t) respectively represent the three state variables of the system; a, b, c, and d represent system parameters; f(t) represents an external sound signal, r(t) represents a background signal, and G is the signal gain; represents the fractional calculus symbol, and q represents the fractional order of the system.
5. The method according to claim 4, characterized in that, The step of inputting the first sound signal into a pre-constructed pipeline leakage detection system to obtain a first target system includes: Obtaining the material information of the water supply pipeline to be detected and the pipeline burial depth information; Determining a first signal gain value based on the material information and the pipeline burial depth information; Inputting the first sound signal and the first signal gain value into a pre-constructed pipeline leakage detection system to obtain a first target system.
6. The method according to claim 5, wherein After the step of determining that there is a leakage at the first position of the water supply pipeline to be detected if it is determined that the first target system exhibits chaotic oscillation based on the first state, the method further includes: Reducing the signal gain of the first target system to make the first target system enter a stable state to obtain a second target system; Obtaining a second sound signal of the water supply pipeline to be detected and a second position corresponding to the second sound signal, where the second position is the next detection position of the first position; Inputting the second sound signal into the second target system to obtain a third target system; Observing the stability of the third target system to obtain the system state of the third target system; Determining whether there is a leakage at the second position of the water supply pipeline to be detected based on the system state of the third target system.
7. A water supply network leakage detection device, characterized in that, The device includes: A first acquisition module for obtaining a first sound signal of a water supply pipeline to be detected and a first position corresponding to the first sound signal; A first determination module for inputting the first sound signal into a pre-constructed pipeline leakage detection system to obtain a first target system, where the pipeline leakage detection system is obtained by introducing an external sound signal into a chaotic system; A first observation module for observing the system state of the first target system to obtain a first state of the first target system; A second determination module for determining that there is a leakage at the first position of the water supply pipeline to be detected if it is determined that the first target system exhibits chaotic oscillation based on the first state.
8. A computer device, characterized in that, Includes: A memory and a processor, which are communicatively connected to each other. Computer instructions are stored in the memory, and the processor executes the computer instructions to execute the water supply network leakage detection method according to any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that, Computer instructions are stored on the computer-readable storage medium, and the computer instructions are used to cause a computer to execute the water supply network leakage detection method according to any one of claims 1 to 6.
10. A computer program product, characterized in that, It includes computer instructions, and the computer instructions are used to cause a computer to execute the water supply network leakage detection method according to any one of claims 1 to 6.