Method, device, equipment, medium and product for detecting hidden leakage of urban complex water supply pipe network

Abstract

The invention discloses an urban complex water supply pipe network dark leakage detection method, device, equipment, medium and product, and relates to the technical field of water supply pipe network detection.The method comprises the steps that a ground penetrating radar is used for determining the pipeline position of a to-be-detected urban water supply pipe network, and ground penetrating radar detection data are obtained along the pipeline position; preprocessing the ground penetrating radar detection data to obtain preprocessed ground penetrating radar detection data; determining a soil relative dielectric constant based on the preprocessed ground penetrating radar detection data and the reflection interface; the reflection interface is determined according to the pipe depth information; according to the method, the ground penetrating radar is used for carrying out urban complex water supply pipe network dark leakage detection, and the urban complex water supply pipe network dark leakage detection precision can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of water supply network detection, and in particular to a method, device, equipment, medium and product for detecting hidden leaks in complex urban water supply networks. Background Art

[0002] Leakage in urban water supply networks not only wastes resources, but can also cause major safety hazards. When a leak occurs in an urban water supply network, foreign matter and impurities at the ruptured part of the network will flow against the water flow into the network and mix with tap water, and finally be transported to the homes of residents at high pressure. Once the impurities contain toxins, they will inevitably contaminate drinking water and eventually threaten the safety of drinking water for residents. On the other hand, water in the leakage area continues to flow out and continuously washes the soil, making the soil structure loose and the geological environment change. If the leakage lasts for a long time, the soil will be hollowed out to form water-containing cavities, causing the network to deform or settle. In more serious cases, emergencies such as roadbed settlement may occur.

[0003] In the current urban water pipe leakage, the main technical means of leak detection is the listening method. After the water supply network breaks, the high-pressure water rubs against the network to produce leakage friction sound, and the water flow impacts the soil medium to produce medium leakage sound, which combines to form the leakage sound. The listening method uses a listening rod to capture the leakage sound of the network to demarcate the leakage area and lock the leakage location. The listening method is the most common and effective method in leak detection projects, but relying solely on the listening method to complete the general inspection of the entire urban water supply network requires a lot of manpower and a fairly long general inspection cycle. The listening method is not effective in noisy environments, and it often needs to be operated at night, which has high requirements for the working environment. The accuracy of leak detection is greatly affected by the professional quality of the operators. Only experienced personnel can achieve more accurate leakage positioning, which places high demands on the professional quality of the operators. The listening staff conducts inspections based on pipeline information, but because some old water supply networks have not been entered into the network management system, the location, direction and other key information of these pipelines are missing. Due to the lack of accurate pipeline information, it is difficult for listening staff to locate these old pipelines during daily inspections, which increases the difficulty of inspections. Due to the lack of reference information, it becomes more difficult to use traditional listening methods to determine the location of leaks. In the absence of pipeline information, relying solely on the listening method may not be sufficient to meet the needs of leak detection, and other technical means need to be combined to improve the accuracy and efficiency of detection. The listening method relies on manual experience and environmental conditions, has poor effects in noisy environments, and requires nighttime operations. This results in unstable leak detection accuracy, high requirements for the professional quality of operators, long inspection cycles, and large investments in manpower and material resources. Summary of the invention

[0004] The purpose of this application is to provide a method, device, equipment, medium and product for detecting hidden leaks in complex urban water supply pipe networks, which can improve the accuracy of hidden leak detection in complex urban water supply pipe networks.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for detecting hidden leakage in a complex urban water supply network, comprising:

[0007] Use ground penetrating radar (GPR) to determine the pipeline location of the urban water supply network to be tested, and obtain GPR detection data along the pipeline location;

[0008] Preprocessing the ground penetrating radar detection data to obtain preprocessed ground penetrating radar detection data;

[0009] Determine the relative dielectric constant of the soil based on the preprocessed ground penetrating radar detection data and the reflection interface; the reflection interface is determined according to the pipe depth information;

[0010] Based on the soil relative dielectric constant, the leakage area of ​​the urban water supply network is determined.

[0011] Optionally, the preprocessing includes DC drift removal processing, static correction processing, gain processing, Butterworth bandpass filtering processing, mean smoothing processing and background processing.

[0012] Optionally, based on the preprocessed ground penetrating radar detection data and the reflection interface, the relative dielectric constant of the soil is determined, including:

[0013] Determine any point on the pipeline as the current point;

[0014] Obtaining the electromagnetic wave travel time when the ground penetrating radar is at the current point; the electromagnetic wave travel time is the time elapsed after the first antenna sends out a detection signal and the second antenna receives an echo signal when the ground penetrating radar is at the current point;

[0015] Determine the electromagnetic wave propagation speed using a first formula according to the electromagnetic wave travel time and the reflection interface;

[0016] According to the electromagnetic wave propagation speed and the soil dielectric constant, the second formula is used to determine the relative dielectric constant of the soil at the current point.

[0017] Optionally, the first formula is:

[0018] Among them, v is the propagation speed of electromagnetic waves, d is the distance from the ground to the reflection interface, x is the distance between the first antenna and the second antenna in the ground penetrating radar, and t is the travel time of the electromagnetic wave.

[0019] Optionally, the second formula is:

[0020] Among them, ε r is the relative dielectric constant of soil, and c is the dielectric constant of soil.

[0021] Optionally, determining the leakage area of ​​the urban water supply network based on the soil relative dielectric constant includes:

[0022] When the soil relative dielectric constant of the current point reaches the relative dielectric constant threshold, it is determined that the current point is leaking.

[0023] In a second aspect, the present application provides a device for detecting hidden leakage in a complex urban water supply network, comprising:

[0024] The detection module is used to determine the pipeline position of the urban water supply network to be tested by using ground penetrating radar, and obtain ground penetrating radar detection data along the pipeline position;

[0025] A preprocessing module, used for preprocessing the ground penetrating radar detection data to obtain preprocessed ground penetrating radar detection data;

[0026] A relative dielectric constant determination module is used to determine the relative dielectric constant of soil based on the pre-processed ground penetrating radar detection data and the reflection interface; the reflection interface is determined according to the pipe depth information;

[0027] The leakage detection module is used to determine the leakage area of ​​the urban water supply network based on the relative dielectric constant of the soil.

[0028] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned method for detecting hidden leaks in complex urban water supply networks.

[0029] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for detecting hidden leaks in complex urban water supply networks.

[0030] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned method for detecting hidden leaks in complex urban water supply networks.

[0031] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0032] The present application provides a method, device, equipment, medium and product for detecting hidden leaks in complex urban water supply pipe networks, which uses ground penetrating radar to detect urban pipe networks, transforms passive detection into active detection, improves detection efficiency and reduces leak detection costs; ground penetrating radar is a detection technology that uses the reflection characteristics of electromagnetic waves to identify interfaces with obvious dielectric differences; ground penetrating radar is sensitive to water, and slight changes in water content will cause obvious changes in ground penetrating radar, and can sense the existence of leaks that acoustic technology cannot detect; actively discover leaks as early as possible to control leakage losses, thereby avoiding serious harm caused by the formation of large leaks; at the same time, ground penetrating radar technology can identify pipeline distribution to reduce the excavation area, avoid economic losses and damage to road structures caused by mis-excavation; applying ground penetrating radar technology to leak detection projects can objectively and early detect water supply pipe network leaks, and also further improve the current urban leak inspection system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 FIG. 1 is a schematic diagram of dielectric constant in an embodiment of the present application.

[0035] Figure 2 This is a flow chart of a method for detecting hidden leaks in a complex urban water supply network in one embodiment of the present application.

[0036] Figure 3 This is a schematic diagram of the use of ground penetrating radar in one embodiment of the present application.

[0037] Figure 4 This is a schematic diagram of ground penetrating radar detection data before preprocessing in one embodiment of the present application.

[0038] Figure 5 This is a schematic diagram of ground penetrating radar detection data after preprocessing in one embodiment of the present application.

[0039] Figure 6 Schematic diagram of a reflective interface in an embodiment of the present application.

[0040] Figure 7 This is a schematic diagram of the propagation velocity calculation principle in one embodiment of the present application.

[0041] Figure 8 It is a structural schematic diagram of a computer device in one embodiment of the present application. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0044] The present application provides a method for detecting hidden leaks in urban complex water supply pipe networks in complex environments. By collecting data through ground penetrating radar and performing a series of processing, the pipeline location can be quickly and accurately determined, and the leakage location can be ultimately identified.

[0045] GPR is a non-destructive detection technology that uses antennas to transmit and receive high-frequency electromagnetic waves to detect the internal material characteristics and distribution patterns of the medium. It is easy and flexible to operate and is used in many engineering survey fields. GPR collects the signals of electromagnetic waves reflected and refracted at places where there are differences in dielectric constants, and after processing and identification, it can detect and locate different targets. Ground penetrating radar is very sensitive to differences in dielectric constants. The greater the difference in dielectric constants, the more intense the ground penetrating radar echo signal. When there is a leak in a water supply pipeline, the soil moisture content in the area around the pipeline changes, which causes the dielectric constant of the surrounding soil to change. When a leak occurs, the position can be located by the obvious difference in dielectric constant. The principle is to use the duration and waveform changes of the echo signal to identify the leak, which is specifically manifested in the echo signal in the leak area having low energy, low frequency and strong amplitude.

[0046] like Figure 1 , Figure 1 Here, ε1 and ε2 both represent dielectric constants, which are key physical parameters that describe the electrical properties of a medium. It not only depends on the chemical composition of the substance, but is also significantly affected by environmental conditions. The relative dielectric constant of a medium is a key determinant of the speed at which electromagnetic waves propagate in the medium. When electromagnetic waves propagate in a medium and encounter the interface between different media or when the electrical impedance of the medium changes, their propagation path will be disturbed, causing reflection. The relative dielectric constant of a dry medium is usually low, often less than 10. For example, the dielectric constant of dry soil or certain organic materials may be within this range. The relative dielectric constant of pure water is higher, at about 81, which results in a lower propagation speed of electromagnetic waves in water, which is about one-third of the speed of light, or 0.3×10 8Meters per second. As a non-polar medium, air has a relative dielectric constant close to 1, which shows little effect on the propagation of electromagnetic waves. As the moisture content in the medium increases, its relative dielectric constant will also increase accordingly, thus affecting the propagation characteristics of electromagnetic waves in it.

[0047] In an exemplary embodiment, Figure 2 As shown, a method for detecting hidden leakage in a complex urban water supply network is provided, comprising:

[0048] Step 101: using ground penetrating radar to determine the pipeline position of the urban water supply network to be tested, and obtaining ground penetrating radar detection data along the pipeline position.

[0049] like Figure 3 , based on the routine inspection in the city, ground penetrating radar is used to complete the measured data collection. By identifying the pipeline direction of the valve manhole cover and related manhole covers of the tap water network, the ground penetrating radar is used to detect perpendicular to the pipeline to determine the location of the pipeline. After determining the location of the pipeline, data is collected along the direction of the pipeline. During the data collection process, the obvious abnormal interference and leakage point positions on the survey line are marked according to the actual situation. The purpose is to locate the interference and leakage point positions on the radar profile for easy processing and analysis.

[0050] Step 102: preprocess the ground penetrating radar detection data to obtain preprocessed ground penetrating radar detection data. The preprocessing includes DC drift removal, static correction, gain processing, Butterworth bandpass filtering, mean smoothing and background processing.

[0051] Through the preprocessing process, more abundant and effective information can be obtained from radar images. Figure 4 and Figure 5 As shown. To remove DC drift, the drift is eliminated by adjusting the time window size so that the echo signal amplitude is symmetrical with the average amplitude. Static correction removes the interference of direct wave signals caused by air by locating the zero depth value. Through gain processing, the deep signal is amplified on the time profile to highlight the signal strength, which is convenient for the interpretation of profile data and obtains rich information for later analysis. Butterworth bandpass filtering is used to filter noise according to the noise frequency distribution range to better highlight the effective signal. Background removal Background removal first calculates the background value of the interference area, subtracts the background value from each radar echo to reduce the interference in the horizontal direction, and the noise signal of the processed radar profile is eliminated, which is cleaner overall. The sliding average smoothes the data by averaging adjacent echo signals to eliminate strong surface echoes and oscillation signals.

[0052] Step 103: Determine the relative dielectric constant of the soil based on the pre-processed ground penetrating radar detection data and the reflection interface. The reflection interface is determined based on the pipe depth information.

[0053] Add a reflection interface based on the pipeline depth information, determine the location of the pipeline, and select the reflection interface by picking. Select 0.1m intervals to extract the two-way travel time from the road surface to the reflection interface at each measuring point and related attributes, such as Figure 6 .

[0054] Step 103 includes:

[0055] Step 103-1: Determine any point on the pipeline as the current point.

[0056] Step 103-2: Obtain the electromagnetic wave travel time when the ground penetrating radar is at the current point. The electromagnetic wave travel time is the time after the first antenna sends out the detection signal and the second antenna receives the echo signal when the ground penetrating radar is at the current point.

[0057] Step 103 - 3 : Determine the electromagnetic wave propagation speed using the first formula according to the electromagnetic wave travel time and the reflection interface.

[0058] Step 103-4: According to the electromagnetic wave propagation speed and the soil dielectric constant, the relative dielectric constant of the soil at the current point is determined using the second formula.

[0059] like Figure 7 Since the ground penetrating radar used has a fixed antenna spacing, the fixed antenna spacing method in the reflection wave method is used to obtain the velocity. The first formula is:

[0060] Among them, v is the propagation speed of electromagnetic waves, d is the distance from the ground to the reflection interface, x is the distance between the first antenna and the second antenna in the ground penetrating radar, and t is the travel time of the electromagnetic wave.

[0061] According to the formula related to dielectric constant and propagation speed Determine the relative dielectric constant of the soil, that is, the second formula is:

[0062] Among them, ε r is the relative dielectric constant of soil, and c is the dielectric constant of soil.

[0063] The manual fitting method and velocity spectrum method are used to extract the wave velocity of the reflected wave in the measurement profile. The relative dielectric constant of the soil is calculated based on the relationship between the radar wave velocity and the soil dielectric constant. Because the ground penetrating radar records time information, the reflection interface is manually added to determine the two-way travel time information, and then the dielectric constant information is determined. When using the reflection wave method of the ground penetrating radar to obtain the soil dielectric constant information, the detection area needs to include two types of ground objects with dielectric differences, and the soil structure also needs to include a continuous reflection interface to obtain the soil layer dielectric constant information. There are obvious differences between the leakage area and other reflection surfaces, so this application uses the reflection wave method to obtain the relative dielectric constant.

[0064] Step 104: Based on the relative dielectric constant of the soil, determine the leakage area of ​​the urban water supply network. When the relative dielectric constant of the soil at the current point reaches the relative dielectric constant threshold, it is determined that the current point is leaking.

[0065] Based on the dielectric constants of common materials (such as Table 1), determine whether the channel number to which the calculated dielectric constant belongs is leaking, based on the dielectric constant values ​​of the measured data leakage and non-leakage points. Set the relative dielectric constant less than 10 as a non-leakage signal, and the relative dielectric constant between 10-30 as a leakage signal. This embodiment is based on ground penetrating radar for research, including data acquisition, data preprocessing, reflection interface selection, attribute parameter extraction, dielectric constant calculation and leakage identification. In the data preprocessing step, the electromagnetic wave signal collected by the ground penetrating radar is denoised and filtered to improve the signal quality, providing clear data for subsequent analysis. In the time domain parameter extraction step, characteristic data related to the dielectric constant that can be calculated is extracted from the preprocessed data to provide a basis for calculating the dielectric constant. Since the leaking pipeline network will affect the dielectric constant of the leakage area, the method of calculating the dielectric constant is used to determine whether there is a leak, so as to realize the leakage signal identification of the newly collected data.

[0066] Table 1 Dielectric constants of common materials

[0067] substance Dielectric constant vacuum 1.0 (by definition) Metal endless gas 1.00xx (at one atmosphere) water 87.9 (0°C) to 55.5 (100°C) Concrete 6-8 asphalt 3-5 cement 1.5-2.1 Dry sand 3-6 Wet sand 15-20

[0068] This embodiment combines ground penetrating radar technology with advanced data processing to improve the accuracy and efficiency of urban water supply network leakage detection. The water-sensitive characteristics of ground penetrating radar technology are used to achieve early detection of hidden leaks.

[0069] Data collection: Ground penetrating radar technology is used to collect measured data of the water pipe network. This is a non-destructive and efficient method for detecting underground pipelines. The pipeline direction of the valve manhole cover and related manhole covers is identified by ground penetrating radar to ensure the accuracy and pertinence of the detection. The ground penetrating radar detects perpendicular to the pipeline to determine the exact location of the pipeline. This step is the key to ensuring the accuracy of data collection. After determining the location of the pipeline, data is collected along the direction of the pipeline. This method helps to fully understand the status of the pipeline and discover potential problems. The radar profile is used to locate the interference and leakage point, which is convenient for further analysis and processing.

[0070] Through a series of carefully planned data preprocessing measures, the quality of ground penetrating radar data and the accuracy of interpretation have been significantly improved. At the same time, the distinction between signal and noise has been significantly improved, effectively reducing the negative impact of environmental noise on data interpretation. Furthermore, by continuously optimizing the preprocessing algorithm, it is possible to more accurately identify effective signals in underground structures and eliminate interfering signals, thereby reducing the risk of misjudgment caused by signal confusion. This improvement not only enhances the credibility of the detection results, but also provides a solid foundation for subsequent data analysis and interpretation, ensuring the efficiency and accuracy of the detection work.

[0071] After data collection and a series of data processing, the location of the leak is determined by calculating the dielectric constant. This method can not only reduce the dependence on the environment and the professional quality of operators, but also improve detection efficiency and reduce costs, which is of great significance for ensuring the safety of urban water supply.

[0072] In an exemplary embodiment, a device for detecting hidden leakage in a complex urban water supply network is provided, comprising:

[0073] The detection module is used to determine the pipeline position of the urban water supply network to be tested by using ground penetrating radar, and obtain ground penetrating radar detection data along the pipeline position.

[0074] The preprocessing module is used to preprocess the ground penetrating radar detection data to obtain preprocessed ground penetrating radar detection data.

[0075] The relative dielectric constant determination module is used to determine the relative dielectric constant of soil based on the pre-processed ground penetrating radar detection data and the reflection interface. The reflection interface is determined based on the pipe depth information.

[0076] The leakage detection module is used to determine the leakage area of ​​the urban water supply network based on the relative dielectric constant of the soil.

[0077] For some complex environments, such as when pipeline information is missing, this application can first identify the location of the pipeline and ultimately detect the leak.

[0078] Environmental adaptability: Since the listening method has poor effect in noisy environments, this application has the ability to work stably in various noisy environments and is not affected by environmental noise.

[0079] Reduce reliance on manual experience: Ground penetrating radar is used for detection, which reduces the reliance on the professional quality and experience of operators, making leak detection more standardized and automated.

[0080] Improved detection accuracy: By combining other technical means, this application provides higher leak detection accuracy, especially in the absence of accurate pipeline information.

[0081] Reduce restrictions on operating conditions: Compared with the listening method, this application does not require night operations and can be carried out during the day or at any time, which improves the flexibility and efficiency of the operation.

[0082] Shorten the general inspection cycle: Through automated and efficient inspection processes, the general inspection cycle is shortened and the investment in manpower and material resources is reduced.

[0083] Improve operation stability: It is not dependent on manual experience and environmental conditions, so the leak detection accuracy may be more stable, reducing errors caused by human factors and environmental changes.

[0084] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for detecting hidden leaks in a complex urban water supply network is implemented.

[0085] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0086] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0087] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0088] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0089] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0090] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0091] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0092] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for detecting hidden leakage in a complex urban water supply network, characterized in that: include: Use ground penetrating radar to determine the pipeline location of the urban water supply network to be tested, and obtain ground penetrating radar detection data along the pipeline location; Preprocessing the ground penetrating radar detection data to obtain preprocessed ground penetrating radar detection data; Determine the relative dielectric constant of the soil based on the preprocessed ground penetrating radar detection data and the reflection interface; the reflection interface is determined according to the pipe depth information; Based on the soil relative dielectric constant, the leakage area of ​​the urban water supply network is determined.

2. The method for detecting hidden leakage in a complex urban water supply network according to claim 1, characterized in that: The preprocessing includes direct current drift removal processing, static correction processing, gain processing, Butterworth bandpass filtering processing, mean value smoothing processing and background processing.

3. The method for detecting hidden leakage in a complex urban water supply network according to claim 1, characterized in that: Based on the pre-processed GPR detection data and reflection interface, the relative dielectric constant of the soil is determined, including: Determine any point on the pipeline as the current point; Obtaining the electromagnetic wave travel time when the ground penetrating radar is at the current point; the electromagnetic wave travel time is the time elapsed after the first antenna sends out a detection signal and the second antenna receives an echo signal when the ground penetrating radar is at the current point; Determine the electromagnetic wave propagation speed using a first formula according to the electromagnetic wave travel time and the reflection interface; According to the electromagnetic wave propagation speed and the soil dielectric constant, the second formula is used to determine the relative dielectric constant of the soil at the current point.

4. The method for detecting hidden leakage in a complex urban water supply network according to claim 3 is characterized in that: The first formula is: Among them, v is the propagation speed of electromagnetic waves, d is the distance from the ground to the reflection interface, x is the distance between the first antenna and the second antenna in the ground penetrating radar, and t is the travel time of the electromagnetic wave.

5. The method for detecting hidden leakage in a complex urban water supply network according to claim 4, characterized in that: The second formula is: Among them, ε r is the relative dielectric constant of soil, and c is the dielectric constant of soil.

6. The method for detecting hidden leakage in a complex urban water supply network according to claim 5, characterized in that: Based on the relative dielectric constant of the soil, the leakage area of ​​the urban water supply network is determined, including: When the soil relative dielectric constant of the current point reaches the relative dielectric constant threshold, it is determined that the current point is leaking.

7. A device for detecting hidden leakage in a complex urban water supply network, characterized in that: include: The detection module is used to determine the pipeline position of the urban water supply network to be tested by using ground penetrating radar, and obtain ground penetrating radar detection data along the pipeline position; A preprocessing module, used for preprocessing the ground penetrating radar detection data to obtain preprocessed ground penetrating radar detection data; A relative dielectric constant determination module is used to determine the relative dielectric constant of soil based on the pre-processed ground penetrating radar detection data and the reflection interface; the reflection interface is determined according to the pipe depth information; The leakage detection module is used to determine the leakage area of ​​the urban water supply network based on the relative dielectric constant of the soil.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for detecting hidden leaks in a complex urban water supply network as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for detecting hidden leaks in a complex urban water supply network as described in any one of claims 1 to 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for detecting hidden leaks in a complex urban water supply network as described in any one of claims 1 to 7 is implemented.

Images