Water supply network monitoring system and monitoring method thereof

Abstract

The invention relates to the technical field of water supply network monitoring, in particular to a water supply network monitoring system and a monitoring method thereof, and the monitoring system comprises an acquisition module which is used for acquiring a water pressure signal of a water supply network and converting the water pressure signal into a first electric signal, and acquiring a water sound signal of the water supply network and converting the water sound signal into a second electric signal; the monitoring terminal is used for converting the first electric signal into a first digital signal and converting the second electric signal into a second digital signal; the analysis module comprises a pipe explosion early warning module, a pressure early warning module and a leakage early warning module, and the pipe explosion early warning module is used for judging whether pipe explosion exists in the water supply pipe network or not based on the first digital signal and the second digital signal; the pressure early warning module is used for judging whether the pressure of the water supply network is abnormal or not based on the first digital signal; the leakage early warning module is used for judging whether the water supply pipe network leaks or not based on the second digital signal. The water supply pipe network monitoring system can monitor the water supply pipe network in real time, effectively reduce the leakage of the pipe network and ensure the operation safety of the pipe network.

Description

Technical Field

[0001] The present invention relates to the technical field of water supply network monitoring, and in particular to a water supply network monitoring system and a monitoring method thereof. Background Art

[0002] At present, with the development of cities, the topological structure of urban water supply networks has become increasingly complex. As the lifeline of urban water supply, the reliable operation of long-distance water transmission pipelines and large-diameter municipal pipelines is crucial. However, due to the aging, corrosion, structural fatigue and other factors of water supply pipelines, abnormalities and accidents such as bursts and leaks can cause serious consequences and waste of water resources. Therefore, safety monitoring of these important large-diameter water supply networks and timely detection of bursts or leaks have become the focus of water companies.

[0003] At present, the water industry usually uses DMA zoning to identify areas with high production and sales gaps for leakage control management, and combines manual leak detection to find the leak point; there are also noise recorders for pipeline leakage monitoring. This type of equipment works better on small-diameter metal pipes, but is not suitable for large-diameter pipes. There is currently no good solution for pipe burst monitoring. The pressure monitoring equipment on the market mainly collects steady-state pressure data. The data collection and transmission frequency is low and cannot effectively detect pipe bursts. In summary, there is currently no mature technical solution to realize pipe burst and leakage monitoring of water supply networks; in order to meet the needs of safe operation of water supply pipelines, there is currently a lack of monitoring and early warning systems for pipe bursts and leaks.

[0004] At present, the problem that needs to be solved is how to monitor the water supply pipeline in real time so as to promptly detect and alarm when a burst or leak occurs in the water supply pipeline. Summary of the invention

[0005] The present invention provides a water supply pipe network monitoring system and a monitoring method thereof, which are used to solve the problem that the current water supply pipe network monitoring system cannot effectively realize pipe burst and leakage monitoring of the water supply pipe network.

[0006] In one aspect, the present invention provides a water supply network monitoring system, comprising:

[0007] A collection module, used to collect the water pressure signal of the water supply network and convert it into a first electrical signal, and used to collect the water acoustic signal of the water supply network and convert it into a second electrical signal;

[0008] A monitoring terminal, used for converting the first electrical signal into a first digital signal, and converting the second electrical signal into a second digital signal;

[0009] The analysis module includes a pipe burst warning module, a pressure warning module and a leakage warning module. The pipe burst warning module is used to determine whether there is a pipe burst in the water supply network based on the first digital signal and the second digital signal; the pressure warning module is used to determine whether the water supply network has abnormal pressure based on the first digital signal; the leakage warning module is used to determine whether there is a leakage in the water supply network based on the second digital signal.

[0010] In some embodiments, the analysis module is used to call the pipe burst warning module to obtain the original pressure data of the water supply network, and to call the pressure warning module to determine whether the water supply network has abnormal pressure. If not, the process ends, and if so, the process proceeds to the next step.

[0011] The pipe burst warning module is also used to select the original noise data of the alarm point and the adjacent points, and to call the leakage warning module to determine whether there is a leakage in the water supply network. If not, the process ends. If so, it outputs whether there is a pipe burst in the water supply network.

[0012] In some of the embodiments, the pressure warning module is used to perform wavelet denoising on the original pressure data and to extract the eigenvalues ​​after wavelet denoising;

[0013] The pressure warning module is used to determine whether the characteristic value is greater than the first threshold value. If not, the process ends. If so, the characteristic value is determined to be abnormal data, and whether the abnormal data matches the historical data in the database. If not, the process ends. If so, the output water supply network has abnormal pressure.

[0014] In some of these embodiments, the leakage warning module is used to calculate the coherence of monitoring noise data of adjacent monitoring sites;

[0015] and used to bandpass filter the monitoring noise data of the monitoring site;

[0016] It is also used to calculate the correlation of monitoring noises at adjacent monitoring points based on generalized cross-correlation and calculate the confidence level of the cross-correlation results;

[0017] The leakage warning module is also used to determine whether the confidence level is greater than a second threshold value. If not, the process ends. If so, there is leakage in the output water supply network.

[0018] In some of the embodiments, the acquisition module includes a pressure sensor and a hydrophone. The pressure sensor is used to acquire the dynamic pressure of the water supply network to obtain a water pressure signal; the hydrophone is used to acquire the monitoring noise of the water supply network to obtain a water sound signal.

[0019] In some embodiments, the monitoring terminal includes a circuit board and a shell, wherein the circuit board is arranged inside the shell, and the shell is provided with a first interface, a second interface, and a sealing groove, the first interface is used to connect a pressure sensor and a hydrophone respectively, the second interface is used to connect an antenna, and the sealing groove is used to adapt a sealing ring to seal the circuit board.

[0020] The present invention also provides a monitoring method for the water supply network monitoring system as above, comprising the steps of:

[0021] Collecting water pressure signals from the water supply network and converting them into a first electrical signal, collecting water acoustic signals from the water supply network and converting them into a second electrical signal;

[0022] Converting the first electrical signal into a first digital signal, and converting the second electrical signal into a second digital signal;

[0023] Based on the first digital signal and the second digital signal, determining whether there is a burst pipe in the water supply network;

[0024] Based on the first digital signal, determining whether the water supply network has abnormal pressure;

[0025] Based on the second digital signal, it is determined whether there is a leak in the water supply network.

[0026] In some embodiments, when determining whether there is a pipe burst in the water supply network, the steps include:

[0027] Obtain the original pressure data of the water supply network, and based on the pressure warning algorithm, determine whether the water supply network has abnormal pressure. If not, end the process. If yes, proceed to the next step.

[0028] The original noise data of the alarm point and the adjacent points are selected, and based on the leakage warning algorithm, it is determined whether there is a leakage in the water supply network. If not, the process ends. If so, it is output that there is a burst pipe in the water supply network.

[0029] In some embodiments, when determining whether the water supply network has abnormal pressure, the following steps are included:

[0030] Perform wavelet denoising on the original pressure data and extract the eigenvalues ​​after wavelet denoising;

[0031] Determine whether the characteristic value is greater than the first threshold value, if not, end; if so, determine that the characteristic value is abnormal data, and determine whether the abnormal data matches the historical data in the database, if not, end, if so, the output water supply network has abnormal pressure.

[0032] In some embodiments, when determining whether there is a leak in the water supply network, the steps include:

[0033] Calculate the coherence of the monitoring noise data of adjacent monitoring stations, where the coherence formula is:

[0034] C xy (ω)=|P xy (ω)| 2 / (P xx (ω)P yy (ω));

[0035] Among them, P xy (ω) is the cross-spectral density, P xx (ω), P yy (ω) are the autospectra of x and y respectively;

[0036] Band-pass filtering is performed on the monitoring noise data of the monitoring site;

[0037] Based on generalized cross-correlation, the correlation of monitoring noises at adjacent monitoring points is calculated, and the confidence of the cross-correlation results is calculated; where:

[0038] The calculation formula of the generalized cross-correlation algorithm is:

[0039]

[0040] Among them, ψ g (ω) is the weighting function;

[0041] The confidence calculation formula is:

[0042] Rank = R_max / R_mean;

[0043] Among them, R_max is the maximum value of Rxy, and R_mean is the average value of Rxy;

[0044] Determine whether the confidence is greater than the second threshold value. If not, end the process. If so, there is a leak in the output water supply network.

[0045] The beneficial effects of the present invention are as follows: the water supply network monitoring system of the present invention includes: a collection module, a monitoring terminal, and an analysis module. The collection module is used to collect the water pressure signal of the water supply network and convert it into a first electrical signal, and to collect the water acoustic signal of the water supply network and convert it into a second electrical signal; the monitoring terminal is used to convert the first electrical signal into a first digital signal, and to convert the second electrical signal into a second digital signal; the analysis module includes a pipe burst warning module, a pressure warning module, and a leakage warning module. The pipe burst warning module is used to determine whether there is a pipe burst in the water supply network based on the first digital signal and the second digital signal; the pressure warning module is used to determine whether the water supply network is abnormal in pressure based on the first digital signal; the leakage warning module is used to determine whether there is a leakage in the water supply network based on the second digital signal. The water supply network monitoring system can monitor the water supply network in real time, and can timely detect and alarm when a pipe burst, pressure abnormality or leakage occurs in the water supply network. The monitoring system can help water companies monitor the water supply network, effectively reduce water supply network leakage, and ensure the safe operation of the water supply network.

[0046] The present invention also provides a monitoring method for a water supply network monitoring system, comprising the steps of: collecting a water pressure signal of the water supply network and converting it into a first electrical signal, collecting a hydroacoustic signal of the water supply network and converting it into a second electrical signal; converting the first electrical signal into a first digital signal, and converting the second electrical signal into a second digital signal; judging whether there is a burst pipe in the water supply network based on the first digital signal and the second digital signal; judging whether there is an abnormal pressure in the water supply network based on the first digital signal; judging whether there is a leak in the water supply network based on the second digital signal. The monitoring method can monitor the water supply network in real time, and can timely detect and alarm when a burst pipe or a leak occurs in the water supply network, which can help monitor the water supply network, effectively reduce leakage in the water supply network, and ensure the safe operation of the water supply network. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a flow chart of a pipe burst warning algorithm of a water supply network monitoring system in an embodiment of the present invention;

[0048] Figure 2 is a flow chart of a pressure warning algorithm of a water supply network monitoring system in an embodiment of the present invention;

[0049] Figure 3 is a flow chart of a leakage warning algorithm of a water supply network monitoring system in an embodiment of the present invention;

[0050] Figure 4 is a schematic structural diagram of a water supply network monitoring system in an embodiment of the present invention;

[0051] Figure 5 It is a structural schematic diagram of the circuit board of the present invention.

[0052] Numbers in the figure: 100, acquisition module; 110, pressure sensor; 120, hydrophone; 200, monitoring terminal; 210, circuit board; 211, MCU unit module; 212, signal acquisition module; 213, wireless communication module; 214, storage module; 215, time synchronization module; 216, power module; 220, housing; 300, analysis module; 310, pressure warning module; 320, leakage warning module; 330, pipe burst warning module. DETAILED DESCRIPTION

[0053] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] As the background technology requires, for the safe operation of water supply pipelines, there is currently a lack of a monitoring and early warning system for pipe bursts and leaks. How to design a water supply network monitoring system to monitor the water supply pipelines in real time, so as to promptly detect and alarm when a pipe burst or leak occurs in the water supply pipeline, thereby helping water companies monitor the water supply network, effectively reduce network leakage, and ensure the safety of network operation, is a technical problem that needs to be solved at present.

[0055] To solve the above problems, refer to Figure 1 to Figure 5 The present invention provides a water supply network monitoring system, including: a collection module 100, a monitoring terminal 200, and an analysis module 300. The collection module 100 is used to collect the water pressure signal of the water supply network and convert it into a first electrical signal, and to collect the water sound signal of the water supply network and convert it into a second electrical signal; the monitoring terminal 200 is used to convert the first electrical signal into a first digital signal, and convert the second electrical signal into a second digital signal; the analysis module 300 includes a burst pipe warning module 330, a pressure warning module 310, and a leakage warning module 320. The burst pipe warning module 330 is used to determine whether there is a burst pipe in the water supply network based on the first digital signal and the second digital signal; the pressure warning module 310 is used to determine whether the water supply network has abnormal pressure based on the first digital signal; the pressure warning module 320 is used to determine whether there is a leakage in the water supply network based on the second digital signal.

[0056] In the water supply network monitoring system of the present invention, the acquisition module 100 is used to collect the water pressure signal of the water supply network and convert it into a first electrical signal, and to collect the hydroacoustic signal of the water supply network and convert it into a second electrical signal; the monitoring terminal 200 is used to convert the first electrical signal into a first digital signal, and to convert the second electrical signal into a second digital signal; the analysis module 300 includes a burst pipe warning module 330, a pressure warning module 310, and a leakage warning module 320. The burst pipe warning module 330 is used to determine whether there is a burst pipe in the water supply network based on the first digital signal and the second digital signal; the pressure warning module 310 is used to determine whether the water supply network is abnormal in pressure based on the first digital signal; the leakage warning module 320 is used to determine whether there is a leakage in the water supply network based on the second digital signal. The water supply network monitoring system can monitor the water supply network in real time, and can timely detect and alarm when a burst pipe or leakage occurs in the water supply network. The monitoring system can help water companies monitor the water supply network, effectively reduce leakage in the water supply network, and ensure the safe operation of the water supply network.

[0057] In some of the embodiments, the analysis module 300 is used to call the burst warning module 330 to obtain the original pressure data of the water supply network, and to call the pressure warning module 310 to determine whether the water supply network has abnormal pressure. If not, the process ends; if so, the process proceeds to the next step. The analysis module 300 is also used to select the original noise data of the alarm point and the adjacent points, and to call the leakage warning module 320 to determine whether there is a leakage in the water supply network. If not, the process ends; if so, the process outputs that there is a burst in the water supply network.

[0058] It should be noted that in some embodiments, the analysis module 300 is used to obtain the original transient pressure data of the water supply pipe network burst process based on the pressure wave characteristics caused by the water supply pipe network burst and use it as the original pressure data, wherein the acquisition frequency of the transient pressure data is greater than or equal to 100 Hz. Preferably, the acquisition frequency of the original pressure data is 256 Hz.

[0059] In some of the embodiments, the pressure warning module 310 is used to perform wavelet denoising on the original pressure data and to extract the eigenvalue after wavelet denoising; the pressure warning module 310 is used to determine whether the eigenvalue is greater than the first threshold value, if not, then end; if so, determine that the eigenvalue is abnormal data, and determine whether the abnormal data matches the historical data in the database, if not, then end, if so, output the water supply network as having abnormal pressure.

[0060] In some of the embodiments, the leakage warning module 320 is used to calculate the coherence of the monitoring noise data of adjacent monitoring sites; and to perform bandpass filtering on the monitoring noise data of the monitoring sites; and to calculate the correlation of the monitoring noise of adjacent monitoring points based on generalized cross-correlation, and calculate the confidence of the cross-correlation results; the leakage warning module is also used to determine whether the confidence is greater than a second threshold value, if not, then end, if so, there is a leak in the output water supply network.

[0061] It should be noted that the monitoring frequency of noise data is to collect audio data of a fixed duration at a fixed period, and the collection of audio data can be triggered immediately when the pressure is abnormal. Preferably, 30 seconds of data are collected every hour, and the collection of audio data can be triggered immediately when the pressure is abnormal.

[0062] In some embodiments, the acquisition module 100 includes a pressure sensor 110 and a hydrophone 120. The pressure sensor 110 is used to collect the dynamic pressure of the water supply network to obtain a water pressure signal; the hydrophone 120 is used to collect the monitoring noise of the water supply network to obtain a water sound signal.

[0063] In some embodiments, the monitoring terminal 200 includes a circuit board 210 and a shell 220, wherein the circuit board 210 is arranged inside the shell 220, and the shell 220 is provided with a first interface, a second interface, and a sealing groove, the first interface is used to connect the pressure sensor 110 and the hydrophone 120 respectively, the second interface is used to connect the antenna, and the sealing groove is used to adapt the sealing ring to seal the circuit board 210.

[0064] The circuit board 210 includes an MCU unit module 211, i.e., a main control chip microcontroller module, a signal acquisition module 212, a wireless communication module 213, a storage module 214, a time synchronization module 215, and a power module 216. The signal acquisition module 212 includes an analog / digital conversion unit, i.e., an A / D conversion unit, which samples and converts analog signals into digital signals. The signal acquisition module 212 is used to convert the water pressure signal into a first digital signal and to convert the water acoustic signal into a second digital signal. The wireless communication module 213 is used to transmit the first digital signal and the second digital signal to the cloud platform. The wireless communication module 213 uses a 4G Cat.1 or NB-IoT module for data transmission, preferably 4G Cat.1, to send the collected data to the cloud platform in real time or at a certain period, preferably, reporting the data at a period of 5 minutes. The time synchronization module 215 uses a GNSS module to receive a second pulse signal for time synchronization, or uses an FM module to collect FM signals for time synchronization. Preferably, a GNSS module is used for time synchronization. The power module 216 is powered by solar energy, or by city electricity, or by a large-capacity lithium battery pack. Preferably, solar energy is used for power supply.

[0065] In the water supply network monitoring system of the present invention, the acquisition module 100 is used to acquire the water pressure signal of the water supply network and convert it into a first electrical signal, and to acquire the hydroacoustic signal of the water supply network and convert it into a second electrical signal; the monitoring terminal 200 is used to convert the first electrical signal into a first digital signal, and to convert the second electrical signal into a second digital signal; the analysis module 300 includes a pipe burst warning module 330, a pressure warning module 310 and a leakage warning module 320; the pipe burst warning module 330 is used to determine whether there is a pipe burst in the water supply network based on the first digital signal and the second digital signal; the pressure warning module 310 is used to determine whether the water supply network has an abnormal pressure based on the first digital signal; the leakage warning module 320 is used to determine whether there is a leakage in the water supply network based on the second digital signal. The water supply network monitoring system can monitor the water supply network or water supply pipeline in real time, and can promptly detect and alarm when a pipe burst, abnormal pressure or leakage occurs in the water supply network. The monitoring system can help water companies monitor the water supply network, effectively reduce leakage in the water supply network or water supply pipeline, and ensure the safe operation of the water supply network or water supply pipeline.

[0066] Based on the above water supply network monitoring system, the present invention also provides a monitoring method for the water supply network monitoring system, comprising the steps of:

[0067] Step 100: Collect the water pressure signal of the water supply network and convert it into a first electrical signal, collect the water acoustic signal of the water supply network and convert it into a second electrical signal; convert the first electrical signal into a first digital signal, and convert the second electrical signal into a second digital signal.

[0068] Step 200: Based on the first digital signal and the second digital signal, determine whether there is a burst pipe in the water supply network.

[0069] Step 300: Based on the first digital signal, determine whether the water supply network has a burst pipe;

[0070] Step 400: Based on the second digital signal, determine whether there is a leak in the water supply network.

[0071] It should be added that the analysis module is integrated on the platform to analyze the water pressure data and the water sound data to determine whether there is a pipe burst and a leak. The pipe burst warning is analyzed by the pipe burst warning module 330. The leak warning is analyzed by the leak warning module 320.

[0072] In some embodiments, in step 300, when determining whether the water supply network has a pipe burst, the following steps are further included:

[0073] Step 310: Obtain the original pressure data of the water supply network, and determine whether the water supply network has abnormal pressure based on the pressure warning algorithm. If not, end the process. If yes, proceed to the next step.

[0074] In step 310, the original pressure data of each node of the water supply network is collected, and by calling the pressure early warning algorithm, it is determined whether the water supply network has abnormal pressure;

[0075] Step 320: Select the original noise data of the alarm point and the adjacent points, and determine whether there is a leak in the water supply network based on the leakage warning algorithm. If not, end the process. If so, output that there is a burst pipe in the water supply network.

[0076] In this step 320, the original noise data of the alarm point and the adjacent points are selected, and the leakage warning algorithm is called. If the analysis result of the water supply network is a leak, the next step is entered. If the analysis result of the water supply network is not a leak, the process ends, and the analysis result determines that the water supply network has a burst pipe.

[0077] In some embodiments, such as Figure 2 As shown, in step 310, when determining whether the water supply network has abnormal pressure, it also includes:

[0078] Step 311: performing wavelet denoising on the original pressure data and extracting the eigenvalues ​​after wavelet denoising;

[0079] Step 312: Determine whether the characteristic value is greater than the first threshold value, if not, end; if so, determine that the characteristic value is abnormal data, and determine whether the abnormal data matches the historical data in the database, if not, end; if so, output the water supply network as abnormal pressure.

[0080] In some embodiments, in step 320, when determining whether the water supply network has a leak, the following steps are also included:

[0081] Step 321: Calculate the coherence of the monitoring noise data of adjacent monitoring sites, wherein the coherence formula is:

[0082] C xy (ω)=|P xy (ω)| 2 / (P xx (ω)P yy (ω));

[0083] Among them, P xy (ω) is the cross-spectral density, P xx (ω), P yy (ω) are the autospectra of x and y respectively.

[0084] Step 322: performing bandpass filtering on the monitoring noise data of the monitoring site;

[0085] In this step 322, a filtering range is selected according to coherence, and band-pass filtering is performed on the monitoring noise data. Preferably, a Butterworth band-pass filter is selected for filtering.

[0086] Step 323: Based on the generalized cross-correlation algorithm, calculate the correlation of the monitoring noise of adjacent monitoring points; calculate the confidence of the cross-correlation result; wherein,

[0087] The calculation formula of the generalized cross-correlation algorithm is:

[0088]

[0089] Among them, ψ g (ω) is the weighting function;

[0090] The confidence calculation formula is:

[0091] Rank = R_max / R_mean;

[0092] Among them, R_max is the maximum value of Rxy, and R_mean is the average value of Rxy;

[0093] In this step 323, the confidence index is the significance of the generalized cross-correlation peak. The more significant the peak is, the greater the confidence is, and the higher the probability of leakage is.

[0094] Step 324: Determine whether the confidence level is greater than the second threshold value. If not, end the process. If so, there is a leak in the output water supply network.

[0095] The monitoring method of the water supply network monitoring system provided by the present invention includes the following steps: collecting the water pressure signal of the water supply network and converting it into a first electrical signal, collecting the hydroacoustic signal of the water supply network and converting it into a second electrical signal; converting the first electrical signal into a first digital signal, and converting the second electrical signal into a second digital signal; judging whether there is a burst pipe in the water supply network based on the first digital signal and the second digital signal; judging whether there is an abnormal pressure in the water supply network based on the first digital signal; judging whether there is a leak in the water supply network based on the second digital signal. The water supply network or water supply pipeline can be monitored in real time, and when a burst pipe, abnormal pressure or leak occurs in the water supply network or water supply pipeline, it can be discovered and alarmed in time, which can help monitor the water supply network or water supply pipeline, effectively reduce the leakage of the water supply network or water supply pipeline, and ensure the safe operation of the water supply network or water supply pipeline.

[0096] In the description of the present invention, it is to 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”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0097] In addition, the terms "above" and "below" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "above" and "below" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0098] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection, an electrical connection, or communication with each other; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0099] In the present invention, the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" etc. mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the described specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0100] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A water supply network monitoring system, characterized in that: include: A collection module, used to collect the water pressure signal of the water supply network and convert it into a first electrical signal, and used to collect the water acoustic signal of the water supply network and convert it into a second electrical signal; A monitoring terminal, configured to convert the first electrical signal into a first digital signal, and convert the second electrical signal into a second digital signal; an analysis module, comprising a pipe burst warning module, a pressure warning module and a leakage warning module, wherein the pipe burst warning module is used to determine whether there is a pipe burst in the water supply network based on the first digital signal and the second digital signal; The pressure warning module is used to determine whether the water supply network has abnormal pressure based on the first digital signal; The leakage warning module is used to determine whether there is a leakage in the water supply network based on the second digital signal.

2. The water supply network monitoring system according to claim 1, characterized in that: The analysis module is used to call the pipe burst warning module to obtain the original pressure data of the water supply network, and to call the pressure warning module to determine whether the water supply network has abnormal pressure. If not, the process ends; if yes, the process proceeds to the next step. The pipe burst warning module is also used to select the original noise data of the alarm point and the adjacent points, and to call the leakage warning module to determine whether there is a leakage in the water supply network. If not, the process ends; if so, the process outputs that there is a pipe burst in the water supply network.

3. The water supply network monitoring system according to claim 2, characterized in that: The pressure warning module is used to perform wavelet denoising on the original pressure data and to extract the eigenvalues ​​after wavelet denoising; The pressure warning module is used to determine whether the characteristic value is greater than the first threshold value. If not, the process ends; if so, the characteristic value is determined to be abnormal data, and whether the abnormal data matches the historical data in the database. If not, the process ends; if so, the water supply network is output as having abnormal pressure.

4. The water supply network monitoring system according to claim 2, characterized in that: The leakage warning module is used to calculate the coherence of monitoring noise data of adjacent monitoring sites; and used to perform bandpass filtering on the monitoring noise data of the monitoring site; and used to calculate the correlation of monitoring noises of adjacent monitoring sites based on generalized cross-correlation, and calculate the confidence of the cross-correlation result; The leakage warning module is also used to determine whether the confidence level is greater than a second threshold value. If not, the process ends; if so, the process outputs that there is leakage in the water supply network.

5. The water supply network monitoring system according to claim 1, characterized in that: The acquisition module includes a pressure sensor and a hydrophone. The pressure sensor is used to acquire the dynamic pressure of the water supply network to obtain the water pressure signal; the hydrophone is used to acquire the monitoring noise of the water supply network to obtain the water sound signal.

6. The water supply network monitoring system according to claim 5, characterized in that: The monitoring terminal includes a circuit board and a shell, wherein the circuit board is arranged inside the shell, and the shell is provided with a first interface, a second interface, and a sealing groove, the first interface is used to connect the pressure sensor and the hydrophone respectively, the second interface is used to connect the antenna, and the sealing groove is used to adapt a sealing ring to seal the circuit board.

7. A monitoring method for a water supply network monitoring system according to any one of claims 1 to 6, characterized in that: Includes steps: Collecting a water pressure signal of a water supply network and converting it into a first electrical signal, collecting a water acoustic signal of the water supply network and converting it into a second electrical signal; converting the first electrical signal into a first digital signal, and converting the second electrical signal into a second digital signal; Based on the first digital signal and the second digital signal, determining whether there is a pipe burst in the water supply network; Based on the first digital signal, determining whether the water supply network has abnormal pressure; Based on the second digital signal, it is determined whether there is a leak in the water supply network.

8. The monitoring method of the water supply network monitoring system according to claim 7, characterized in that: When judging whether there is a pipe burst in the water supply network, the steps include: Obtain the original pressure data of the water supply network, and determine whether the water supply network has abnormal pressure based on the pressure warning algorithm. If not, end the process. If yes, proceed to the next step. The original noise data of the alarm point and the adjacent points are selected, and based on the leakage warning algorithm, it is determined whether there is a leakage in the water supply network. If not, the process ends. If so, it is output that there is a burst pipe in the water supply network.

9. The monitoring method of the water supply network monitoring system according to claim 8, characterized in that: When judging whether the water supply network has abnormal pressure, the steps include: Performing wavelet denoising on the original pressure data and extracting eigenvalues ​​after wavelet denoising; Determine whether the characteristic value is greater than the first threshold value, if not, end; if so, determine that the characteristic value is abnormal data, and determine whether the abnormal data matches the historical data in the database, if not, end; if so, output that the water supply network has abnormal pressure.

10. The monitoring method of the water supply network monitoring system according to claim 8, when judging whether the water supply network has a leak, is characterized in that: Includes steps: The coherence of the monitoring noise data of adjacent monitoring sites is calculated, wherein the coherence formula is: C xy (ω)=|P xy (oh)| 2 / (P xx (oh)P yy (oh)); Among them, P xy (ω) is the cross-spectral density, P xx (ω), P yy (ω) are the autospectra of x and y respectively; Band-pass filtering is performed on the monitoring noise data of the monitoring site; Based on the generalized cross-correlation, the correlation of the monitoring noise of adjacent monitoring stations is calculated, and the confidence of the cross-correlation result is calculated; where: The calculation formula of the generalized cross-correlation algorithm is: Among them, ψ g (ω) is the weighting function; The confidence calculation formula is: Rank = R_max / R_mean; Among them, R_max is the maximum value of Rxy, and R_mean is the average value of Rxy; Determine whether the confidence is greater than a second threshold value, if not, end the process, if so, output that there is a leak in the water supply network.

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