A sewer network mixed connection troubleshooting system, method and device

Abstract

The application relates to the technical field of drainage management, and discloses a mixed wrong connection drainage pipe network checking system, method and device.The mixed wrong connection drainage pipe network checking system comprises a infrasound fingerprint sound generator, an infrasound fingerprint receiver and a data background which are sequentially wirelessly connected.The infrasound fingerprint sound generator is arranged at the pipe opening of a target drainage pipe, and the infrasound fingerprint receiver is arranged in the drainage pipe opening in a target diagnosis area.The infrasound fingerprint sound generator encodes infrasound fingerprints to obtain coded infrasound signals, and sends the coded infrasound signals into the target drainage pipe.The infrasound fingerprint receiver collects infrasound fingerprint signals of the drainage pipe opening in the target diagnosis area.The data background carries out pipe connection detection and mixed wrong connection point determination based on the coded infrasound signals and the infrasound fingerprint signals, and obtains a mixed wrong connection drainage pipe network checking result.The application guarantees the accuracy of the mixed wrong connection drainage pipe network checking result, and improves the checking efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of drainage management, and particularly relates to a drainage pipe network mixed connection and misconnection checking system, method and device. BACKGROUND

[0002] With the development of urbanization, the scale of urban drainage pipe network is continuously expanding and improving. However, due to improper design and construction, mixed connection and misconnection problems exist in urban drainage pipe network, causing problems such as direct discharge of sewage, rainwater overflow pollution, and rainwater impact on sewage plants, which seriously threatens the health of urban water environment. Efficiently and comprehensively exploring the topological relationship of the pipe network is the fundamental path to effectively solve the mixed connection and misconnection problem.

[0003] However, due to many factors affecting the checking in the drainage pipe network, the accuracy of the mixed connection and misconnection checking result of the drainage pipe network is difficult to guarantee, and the checking efficiency is low. SUMMARY

[0004] Therefore, the present application provides a drainage pipe network mixed connection and misconnection checking system, method and device to solve the problem of low checking efficiency and low accuracy of the mixed connection and misconnection checking result of the drainage pipe network.

[0005] In a first aspect, the present application provides a drainage pipe network mixed connection and misconnection checking system, comprising: a subsonic wave fingerprint sounder, a subsonic wave fingerprint receiver and a data background connected in sequence; the subsonic wave fingerprint sounder is arranged at the pipe opening of the target drainage pipe, and the subsonic wave fingerprint receiver is arranged in the drainage pipe opening in the target diagnosis area.

[0006] The subsonic wave fingerprint sounder is used for encoding the subsonic wave fingerprint to obtain an encoded subsonic wave signal, sending the encoded subsonic wave signal into the target drainage pipe, and sending the encoded subsonic wave signal to the data background.

[0007] The subsonic wave fingerprint receiver is used for collecting the subsonic wave fingerprint signal of the drainage pipe opening in the target diagnosis area and sending the subsonic wave fingerprint signal to the data background; wherein the target diagnosis area is an area determined based on the sending direction of the encoded subsonic wave signal and the propagation distance of the encoded subsonic wave signal in the target drainage pipe.

[0008] The data background is used for pipe connection detection and mixed connection and misconnection point determination based on the encoded subsonic wave signal and the subsonic wave fingerprint signal, to obtain the mixed connection and misconnection checking result of the drainage pipe network.

[0009] The drainage pipe network mixed connection checking system provided by the embodiment is a non-substance form tracer, based on the rapid active propagation and sensitive reception of the non-substance form tracer in the air, realizes the checking of the mixed connection problem of the drainage pipe network, breaks through the technical bottleneck faced by the traditional invasive imaging and the indirect diagnosis path of water quality and quantity, and can effectively distinguish environmental noise by actively compiling the infrasound wave with the fingerprint feature. Compared with other sound wave detection methods, the infrasound wave has small attenuation in the propagation process, small external interference and long propagation distance. Finally, the coded infrasound wave signal and the infrasound wave fingerprint signal are used for pipe connection detection and mixed connection point determination, so that the mixed connection problem of the drainage pipe network can be accurately, efficiently and low-cost diagnosed, the accuracy of the checking result of the mixed connection of the drainage pipe network is ensured, and the checking efficiency is improved.

[0010] In an optional implementation, the infrasound wave fingerprint sound generator comprises a signal source and a loudspeaker, and the signal source and the loudspeaker are connected through an extension line.

[0011] The microcontroller is configured to acquire a characteristic signal parameter and send a control signal to the direct digital frequency synthesizer chip based on the characteristic signal parameter.

[0012] The direct digital frequency synthesizer chip is configured to output a pulse analog signal with spectral characteristics and time domain information based on the control signal, encode the infrasound wave fingerprint based on the pulse analog signal with spectral characteristics and time domain information, and obtain an infrasound wave analog signal.

[0013] The filter circuit is configured to filter and remove high-frequency signals in the infrasound wave analog signal.

[0014] The power amplifier is configured to perform power amplification on the infrasound wave analog signal after filtering and removing the high-frequency signals, drive the loudspeaker to generate a coded infrasound wave signal based on the power-amplified infrasound wave analog signal, and send the coded infrasound wave signal to a data background.

[0015] The loudspeaker is configured to send the coded infrasound wave signal to the target drainage pipe.

[0016] In an optional implementation, the infrasound wave fingerprint receiver comprises an infrasound wave sensor, a preamplifier, a band-pass filter module, an analog-to-digital conversion module, and a digital signal processing module.

[0017] The infrasound wave sensor is configured to collect infrasound wave fingerprint signals of drainage pipe openings in a target diagnosis area, and sequentially send the infrasound wave fingerprint signals through the preamplifier, the band-pass filter module, the analog-to-digital conversion module, and the digital signal processing module for processing. The processed infrasound wave fingerprint signals are sent to a data background.

[0018] In a second aspect, the present application provides a method for checking misconnection of a drainage pipe network, which is applied to data background of the drainage pipe network misconnection checking system in the first aspect or any of the possible implementation manners thereof, and the method comprises the following steps:

[0019] obtaining the coded infrasound wave signal sent by the infrasound wave fingerprint sound emitter and the infrasound wave fingerprint signal sent by the infrasound wave fingerprint receiver;

[0020] comparing the coded infrasound wave signal and the infrasound wave fingerprint signal, and performing drainage pipe connection detection based on the comparison result;

[0021] if the drainage pipe is in a connected state, analyzing the spatial variation characteristics of the infrasound wave fingerprint signal, performing misconnection point determination based on the spatial variation characteristics of the infrasound wave fingerprint signal and the time difference between the coded infrasound wave signal and the infrasound wave fingerprint signal, and obtaining the misconnection checking result of the drainage pipe network.

[0022] The method for checking misconnection of a drainage pipe network provided in the embodiment can accurately determine whether the infrasound wave fingerprint is received by comparing the infrasound wave fingerprint signal received by the infrasound wave fingerprint receiver and the coded infrasound wave signal sent by the infrasound wave fingerprint sound emitter, thereby accurately detecting the connection of the drainage pipe, and accurately positioning the misconnection point by performing misconnection point determination based on the spatial variation characteristics of the infrasound wave fingerprint signal and the time difference between the coded infrasound wave signal and the infrasound wave fingerprint signal, thereby accurately, efficiently and at low cost diagnosing the misconnection problem of the drainage pipe network.

[0023] In an optional implementation manner, the comparison of the coded infrasound wave signal and the infrasound wave fingerprint signal and the drainage pipe connection detection based on the comparison result comprise the following steps:

[0024] respectively converting the coded infrasound wave signal and the infrasound wave fingerprint signal into a sound source time-frequency signal and a receiving time-frequency signal;

[0025] respectively performing normalization processing on the sound source time-frequency signal and the receiving time-frequency signal to obtain a normalized sound source time-frequency signal and a normalized receiving time-frequency signal;

[0026] comparing the normalized sound source time-frequency signal and the normalized receiving time-frequency signal to construct a difference matrix;

[0027] calculating a normalized norm based on the difference matrix, and comparing the normalized norm with a preset threshold value;

[0028] if the normalized norm is less than the preset threshold value, the current drainage pipe in the target diagnosis area and the target drainage pipe are in a connected state.

[0029] The drainage pipe network mixed connection checking method provided in the embodiment realizes accurate judgment on whether the infrasound fingerprint signal and the coded infrasound signal are the same signal, and accurately grasps the connection state between the pipes, by comparing the time-frequency signal corresponding to the infrasound fingerprint signal with the time-frequency signal corresponding to the coded infrasound signal, constructing a difference matrix, and measuring the size of the difference matrix through a normalized norm.

[0030] In an optional implementation, if the drainage pipe is in a connected state, the spatial variation characteristics of the infrasound fingerprint signal are analyzed, mixed connection point judgment is performed based on the spatial variation characteristics of the infrasound fingerprint signal and the time difference between the coded infrasound signal and the infrasound fingerprint signal, and a drainage pipe network mixed connection checking result is obtained, including:

[0031] Determining an actual measured value of infrasound intensity based on the infrasound fingerprint signal corresponding to the drainage pipe network in the connected state;

[0032] Obtaining a drainage pipe network topology, determining a theoretical value of infrasound intensity based on the drainage pipe network topology and the coded infrasound signal, and using a pipe attenuation model;

[0033] Obtaining an infrasound transmission speed, and calculating a receiving distance based on the time difference between the coded infrasound signal and the infrasound fingerprint signal and the infrasound transmission speed;

[0034] Comparing the actual measured value of infrasound intensity with the theoretical value of infrasound intensity, and determining the drainage pipe network mixed connection checking result based on the comparison result and the receiving distance.

[0035] The drainage pipe network mixed connection checking method provided in the embodiment quickly diagnoses the mixed connection problem of rainwater and sewage pipes by coding infrasound fingerprints, and realizing active conduction and multi-point reception in combination with the drainage pipe network topology.

[0036] In a third aspect, the present application provides a drainage pipe network mixed connection checking device applied to a data background in the drainage pipe network mixed connection checking system of the first aspect or any of the corresponding embodiments, and the device comprises:

[0037] The obtaining module is configured to obtain the coded infrasound signal sent by the infrasound fingerprint sound emitter and the infrasound fingerprint signal sent by the infrasound fingerprint receiver;

[0038] The connection detection module is configured to compare the coded infrasound signal with the infrasound fingerprint signal, and perform drainage pipe connection detection based on the comparison result;

[0039] The mix-up joint determination module is configured to, if the drainage pipeline is in a communication state, analyze a spatial variation characteristic of the infrasound wave fingerprint signal, and determine a mix-up joint based on the spatial variation characteristic of the infrasound wave fingerprint signal and a time difference between the coded infrasound wave signal and the infrasound wave fingerprint signal, to obtain a mix-up joint checking result of the drainage pipeline network.

[0040] In a fourth aspect, the present application provides a computer device, comprising a memory and a processor, the memory and the processor are communicatively connected with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the drainage pipeline network mix-up joint checking method of the second aspect or any of the corresponding embodiments thereof.

[0041] In a fifth aspect, the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are used to make a computer execute the drainage pipeline network mix-up joint checking method of the second aspect or any of the corresponding embodiments thereof.

[0042] In a sixth aspect, the present application provides a computer program product, which comprises computer instructions, and the computer instructions are used to make a computer execute the drainage pipeline network mix-up joint checking method of the second aspect or any of the corresponding embodiments thereof. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0044] Figure 1 FIG. 1 is a structural schematic diagram of a drainage pipeline network mix-up joint checking system according to an embodiment of the present application;

[0045] Figure 2 FIG. 2 is a structural schematic diagram of an infrasound wave fingerprint sound generator according to an embodiment of the present application;

[0046] Figure 3 FIG. 3 is a structural schematic diagram of an infrasound wave fingerprint receiver according to an embodiment of the present application;

[0047] Figure 4 FIG. 4 is a flowchart of a drainage pipeline network mix-up joint checking method according to an embodiment of the present application;

[0048] Figure 5 FIG. 5 is a flowchart of another drainage pipeline network mix-up joint checking method according to an embodiment of the present application;

[0049] Figure 6is a flowchart of another sewer network mixed connection checking method according to an embodiment of the present application;

[0050] Figure 7 is a mixed connection point determination diagram according to an embodiment of the present application;

[0051] Figure 8 is a manhole space distribution and type diagram in a district according to an embodiment of the present application;

[0052] Figure 9 is a pipe connection relationship and direction diagram based on sewer network census data according to an embodiment of the present application;

[0053] Figure 10 is an infrasound wave fingerprint original signal diagram according to an embodiment of the present application;

[0054] Figure 11 is a structural block diagram of a sewer network mixed connection checking device according to an embodiment of the present application;

[0055] Figure 12 is a hardware structure diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0057] The related sewer network mixed connection checking technologies mainly include geophysical prospecting method and water quality and quantity analysis method.

[0058] The geophysical prospecting method includes CCTV (Closed Circuit Television, closed circuit television monitoring system), QV (QuickView Detection, pipe periscope detection) technology and the like. The geophysical prospecting method mainly obtains the pipe connection relationship by means of photography and video shooting technology, so as to determine the mixed connection and the wrong connection. However, the geophysical prospecting method needs to shoot the internal situation of the pipe section by section, and needs to block the pipe and clean the deposits when necessary, which is extremely time-consuming, labor-intensive and expensive.

[0059] Water quality and quantity analysis methods (such as water balance analysis and characteristic factor analysis) can achieve live operation and water quantity tracer analysis, effectively controlling costs. However, these methods have high requirements for water quality and quantity detection conditions and data accuracy, and the influencing factors are complex, making it difficult to guarantee the accuracy of the results. In addition, these methods need to be implemented during the period of mixed or incorrect pipeline connections and water discharge, which makes tracking and monitoring difficult and has significant limitations.

[0060] This invention provides a drainage network misconnection detection system. By encoding infrasound fingerprints and achieving active transmission and multi-point reception, the system intelligently constructs the drainage network topology and, combined with a drainage network GIS (Geographic Information System), quickly diagnoses misconnection problems in stormwater and sewage pipes.

[0061] This embodiment provides a drainage pipe network misconnection detection system, such as... Figure 1 As shown, it includes: an infrasound fingerprint transmitter 101, an infrasound fingerprint receiver 102, and a data backend 103 connected wirelessly in sequence; the infrasound fingerprint transmitter 101 is set at the opening of the target drainage pipe, and the infrasound fingerprint receiver 102 is set in the opening of the drainage pipe in the target diagnostic area.

[0062] Specifically, for target drainage networks identified as having misconnection issues, basic data is collected, including drainage network design drawings, pipe lengths, pipe materials, flow directions, manhole numbers, coordinates, and ground and bottom elevations. The spatial relationships and corresponding service areas of rainwater and sewage networks are analyzed, and the drainage network is divided into grid zones based on the junctions of main and branch pipes. Then, for any grid zone of the drainage network, an infrasound fingerprint transmitter 101 is placed at the pipe opening Q of the drainage pipe through a manhole, and a sealing fit with the pipe opening is achieved through an adjusting flange. Based on the propagation loss of infrasound in the pipe, the location of nearby manholes that the infrasound fingerprint transmission direction can reach is determined, and the range between them is marked as the diagnostic area. An infrasound fingerprint receiver 102 with online data transmission function is deployed in other drainage pipes W, E, and R within the diagnostic area through a fixed device.

[0063] The infrasound fingerprint generator 101 is used to encode the infrasound fingerprint to obtain the encoded infrasound signal, send the encoded infrasound signal into the target drainage pipe, and send the encoded infrasound signal to the data backend 103.

[0064] The infrasound fingerprint receiver 102 is used to collect infrasound fingerprint signals from the drainage pipe openings within the target diagnostic area and send the infrasound fingerprint signals to the data backend 103; wherein, the target diagnostic area is the area determined based on the transmission direction of the coded infrasound signal and the propagation distance of the coded infrasound signal within the target drainage pipe.

[0065] The data background 103 is used for pipeline communication detection and misconnection point determination based on the coded infrasound wave signal and the infrasound wave fingerprint signal, so as to obtain the misconnection checking result of the drainage pipe network.

[0066] Specifically, since the infrasound wave fingerprint signal received by the infrasound wave fingerprint receiver 102 is the coded infrasound wave signal or the environmental background sound wave signal sent by the infrasound wave fingerprint sounder 101, the pipeline communication detection is performed through the data background 103 to determine the infrasound wave fingerprint signal, so as to determine the communication state of the pipeline.

[0067] The drainage pipe network misconnection checking system provided in the embodiment uses the infrasound wave fingerprint as a non-substance form tracer, and based on the rapid active propagation and sensitive reception of the non-substance form tracer in the air, the misconnection problem of the drainage pipe network is checked, the technical bottleneck of the traditional invasive imaging and the indirect diagnosis path of water quality and water quantity is broken through, and the infrasound wave with the fingerprint feature is actively coded, so as to effectively distinguish the environmental noise. Compared with other sound wave detection methods, the infrasound wave has small attenuation in the propagation process, small external interference and long propagation distance. Finally, the pipeline communication detection and misconnection point determination are performed through the coded infrasound wave signal and the infrasound wave fingerprint signal, so as to accurately, efficiently and low-cost diagnose the misconnection problem of the drainage pipe network, ensure the accuracy of the misconnection checking result of the drainage pipe network, and improve the checking efficiency.

[0068] In some optional embodiments, as shown in Figure 2 The infrasound wave fingerprint sounder 101 includes a signal source 1011 and a loudspeaker 1012, and the signal source 1011 and the loudspeaker 1012 are connected through an extension line. The signal source 1011 includes a direct digital frequency synthesizer (DDS) chip 10111, a micro control unit (MCU) 10112, a filter circuit 10113 and a power amplifier 10114.

[0069] The infrasound wave fingerprint sounder 101 is composed of the signal source 1011 and the loudspeaker 1012 in a split structure and is connected through the extension line.

[0070] The micro control unit 10112 is used for acquiring characteristic signal parameters and sending a control signal to the direct digital frequency synthesizer chip based on the characteristic signal parameters.

[0071] The direct digital frequency synthesizer chip 10111 is used for outputting a pulse analog signal with spectral characteristics and time domain information based on the control signal, and encoding the infrasound wave fingerprint based on the pulse analog signal with spectral characteristics and time domain information to obtain an infrasound wave analog signal.

[0072] Specifically, the microcontroller 10112 controls the direct digital frequency synthesizer chip 10111 in the infrasonic fingerprint generator 101 to output a pulse analog signal with spectral characteristics and time-domain information to encode the infrasonic fingerprint signal. Specifically, the microcontroller 10112 controls the direct digital frequency synthesizer chip 10111 to output a pulse analog signal with spectral characteristics and time-domain information by inputting characteristic signal parameters whose frequency changes with time, and then uses the pulse analog signal to encode the infrasonic fingerprint to obtain the infrasonic analog signal.

[0073] Furthermore, an infrasonic fingerprint based on frequency and pulse variations is compiled and continuously transmitted into the pipe via speaker 1012. The infrasonic fingerprint encoding method is as follows:

[0074] (1)

[0075] in, The signal is modulated (i.e., the encoded infrasound signal). For the first Segment start time, For the first End time of the segment For carrier frequency; for The frequency of the segment, For the first The cumulative time of the segment For the front The cumulative phase of the segment.

[0076] The filter circuit 10113 is used to filter and remove high-frequency signals from the infrasound analog signal.

[0077] Specifically, after filtering out the high-frequency signals in the infrasound analog signal, a low-frequency signal that conforms to the infrasound range is obtained.

[0078] The power amplifier 10114 is used to amplify the power of the infrasound analog signal after filtering and removing high-frequency signals, drive the speaker 1012 to generate an encoded infrasound signal based on the amplified infrasound analog signal, and send the encoded infrasound signal to the data backend 103.

[0079] Specifically, the infrasound analog signal after filtering and removing high-frequency signals is amplified to sufficient power by the power amplifier 10114 to drive the speaker 1012 to generate an encoded infrasound signal.

[0080] Loudspeaker 1012 is used to send coded infrasound signals into the target drainage pipe.

[0081] Specifically, the adjusting flange matched with the pipe diameter of the different size pipeline is used to send the coded infrasound wave signal to the target drainage pipeline to realize the active conduction in the pipeline.

[0082] In some optional embodiments, as shown in Figure 3 The infrasound wave fingerprint receiver 102 includes an infrasound wave sensor 1021, a preamplifier 1022, a band-pass filter module 1023, an analog-to-digital conversion module 1024, and a digital signal processing module 1025.

[0083] The infrasound wave sensor 1021 is configured to collect the infrasound wave fingerprint signal of the drainage pipeline opening in the target diagnosis area, and sequentially send the infrasound wave fingerprint signal through the preamplifier 1022, the band-pass filter module 1023, the analog-to-digital conversion module 1024, and the digital signal processing module 1025 for processing, and send the processed infrasound wave fingerprint signal to the data background 103.

[0084] Specifically, the infrasound wave sensor 1021 receives the infrasound wave fingerprint signal, amplifies the signal through the preamplifier 1022, filters the high-frequency signal through the band-pass filter module 1023, converts the signal into a digital signal through the analog-to-digital conversion module 1024, stores the digital signal for a short period of time through the digital signal processing module 1025, and transmits the digital signal to the data background 103 wirelessly.

[0085] According to the embodiment of the present application, a drainage pipe network misconnection checking method is provided. It should be noted that the steps shown in the flowchart 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 herein can be executed in a different order.

[0086] In the present embodiment, a drainage pipe network misconnection checking method is provided, which can be used in the data background 103 of the drainage pipe network misconnection checking system described above, Figure 4 is a flowchart of a drainage pipe network misconnection checking method according to the embodiment of the present application, as shown in Figure 4 The flowchart includes the following steps:

[0087] In step S401, the coded infrasound wave signal sent by the infrasound wave fingerprint sounder and the infrasound wave fingerprint signal sent by the infrasound wave fingerprint receiver are acquired.

[0088] In step S402, the coded infrasound wave signal and the infrasound wave fingerprint signal are compared, and the drainage pipeline communication detection is performed based on the comparison result.

[0089] Step S403, if the drainage pipeline is in a communication state, the spatial variation characteristics of the infrasound fingerprint signal are analyzed, the time difference between the coded infrasound signal and the infrasound fingerprint signal is determined based on the spatial variation characteristics of the infrasound fingerprint signal, and the mixed connection point is determined, and the mixed connection checking result of the drainage pipe network is obtained.

[0090] Specifically, when the infrasound fingerprint is detected in the monitoring pipeline inspection well, it means that the monitoring pipeline in the grid partition has a connection relationship with the sound-emitting pipeline. Further, according to the spatial variation characteristics of the infrasound fingerprint signal strength in the monitoring pipeline inspection well, the point suspected to have the mixed connection problem is locked.

[0091] The drainage pipe network mixed connection checking method provided in the embodiment compares the infrasound fingerprint signal received by the infrasound fingerprint receiver with the coded infrasound signal sent by the infrasound fingerprint sound-emitting device, accurately judges whether the infrasound fingerprint is received, and further realizes accurate detection of the drainage pipeline communication. Further, the mixed connection point is determined based on the spatial variation characteristics of the infrasound fingerprint signal and the time difference between the coded infrasound signal and the infrasound fingerprint signal, and the mixed connection point is accurately positioned. The drainage pipe network mixed connection problem can be accurately, efficiently and low-cost diagnosed.

[0092] In the embodiment, a drainage pipe network mixed connection checking method is provided, which can be used in the data background 103 of the drainage pipe network mixed connection checking system described above, Figure 5 is a flowchart of a drainage pipe network mixed connection checking method according to an embodiment of the present application, as shown in the figure, the flowchart includes the following steps: Figure 5

[0093] Step S501, acquiring the coded infrasound signal sent by the infrasound fingerprint sound-emitting device and the infrasound fingerprint signal sent by the infrasound fingerprint receiver. For details, please refer to step S401 of the embodiment shown in Figure 4 The embodiment is not described here.

[0094] Step S502, comparing the coded infrasound signal and the infrasound fingerprint signal, and detecting the drainage pipeline communication based on the comparison result.

[0095] ​Specifically, taking the emission point of the drainage pipeline in the diagnosis area as the starting point, along its emission direction, the infrasound wave signals of the surrounding drainage pipeline manhole pipe openings are collected by the pre-laid infrasound wave sensor, the signals are digitized through the analog-digital conversion module, the signals are returned to the data background through the wireless transmission module, the data background is built-in filtering algorithm, the synchronous extrusion wavelet transform is carried out according to the compiling signal characteristics of the infrasound wave fingerprint emitter, the amplitude-time signal is converted into time-frequency signal, and after normalization, the matrix consistency quantization method based on Frobenius norm is used to compare the coded infrasound wave signals modulated by the generator, the detection condition of the characteristic infrasound wave is judged, and whether the pipes are connected or not is judged.

[0096] The step S502 comprises:

[0097] Step S5021, respectively converting the coded infrasound wave signal and the infrasound wave fingerprint signal into sound source time-frequency signal and receiving time-frequency signal.

[0098] Specifically, the data uploaded by the infrasound wave fingerprint emitter and the infrasound wave fingerprint receiver are received through the wireless board, the coded infrasound wave signal and the infrasound wave fingerprint signal are subjected to synchronous extrusion wavelet transform, the amplitude-time information is converted into frequency-time signal, the spectral characteristics and time domain information are obtained, the time-frequency graph (two-dimensional matrix) is generated, that is, the sound source time-frequency signal and the receiving time-frequency signal.

[0099] Step S5022, respectively normalizing the sound source time-frequency signal and the receiving time-frequency signal to obtain the normalized sound source time-frequency signal and the normalized receiving time-frequency signal.

[0100] Specifically, the sound source time-frequency signal and the receiving time-frequency signal are respectively normalized, and the energy of each time-frequency point is subjected to Z-score (Z-score) standardization, and the expression is as follows:

[0101] (2)

[0102] In the above formula, is the normalized frequency-time signal, is the sound source time-frequency signal or the receiving time-frequency signal, is the mean of all time frequency points, is the standard deviation of all time frequency points.

[0103] Step S5023, comparing the normalized sound source time-frequency signal and the normalized receiving time-frequency signal to construct a difference matrix.

[0104] Specifically, the normalized sound source time-frequency signal and the received time-frequency signal are mapped to the interval [0, 1], a matrix consistency quantification method based on the Frobenius norm (which is a commonly used mathematical tool for measuring the "overall size" of a matrix) is adopted, the processed spectral-time signal data is compared with the infrasound fingerprint spectral-time characteristics emitted by the infrasound fingerprint emitter through a sliding signal window, and a difference matrix is constructed. The calculation formula of the difference matrix is as follows:

[0105] = X 声源 - X 接收 (3)

[0106] In the above formula, X 声源 is a time-frequency two-dimensional matrix emitted at the sound source, and X 接收 is a time-frequency two-dimensional matrix received by the infrasound fingerprint receiver.

[0107] Step S5024, calculate the normalized norm based on the difference matrix, and compare the normalized norm with a preset threshold.

[0108] Specifically, the Frobenius norm is calculated by the following formula:

[0109] (4)

[0110] In the above formula, D is the difference matrix, represents the total number of rows of the matrix, represents the total number of columns of the matrix.

[0111] Step S5025, if the normalized norm is less than the preset threshold, the current drainage pipeline in the target diagnosis area is in a connected state with the target drainage pipeline.

[0112] Specifically, the Frobenius norm is divided by the total number of matrix elements to obtain the average difference, and if the normalized norm is less than 0.1, it is considered that the spectral-time signal regularity received by the infrasound fingerprint receiver is highly consistent with the spectral-time regularity of the infrasound fingerprint emitted by the infrasound fingerprint emitter, and it is considered that the actively emitted infrasound fingerprint is received, otherwise it is considered that the infrasound fingerprint is not received.

[0113] Further, if the normalized norm is greater than the preset threshold, the infrasound fingerprint signal received by the infrasound fingerprint receiver is an environmental background infrasound signal, not an encoded infrasound signal sent by the infrasound fingerprint emitter, and the current drainage pipeline is not connected with the target drainage pipeline.

[0114] ​Step S503, if the drainage pipeline is in a connected state, analyze the spatial variation characteristics of the infrasound fingerprint signal, and based on the spatial variation characteristics of the infrasound fingerprint signal and the time difference between the coded infrasound signal and the infrasound fingerprint signal, determine the mixed connection point, and obtain the mixed connection detection result of the drainage pipe network. For details, please refer to Figure 4 Step S403 of the embodiment shown in the figure will not be repeated here.

[0115] The drainage pipe network mixed connection detection method provided in this embodiment compares the time-frequency signal corresponding to the infrasound fingerprint signal with the time-frequency signal corresponding to the coded infrasound signal, constructs a difference matrix, and measures the size of the difference matrix through a normalized norm, thereby accurately determining whether the infrasound fingerprint signal and the coded infrasound signal are the same signal, and accurately grasping the connection state between the pipelines.

[0116] In this embodiment, a drainage pipe network mixed connection detection method is provided, which can be used in the data background 103 of the drainage pipe network mixed connection detection system described above, Figure 6 is a flow chart of a drainage pipe network mixed connection detection method according to an embodiment of the application, as shown in the figure, the flow chart includes the following steps: Figure 6

[0117] Step S601, acquiring the coded infrasound signal sent by the infrasound fingerprint sound emitter and the infrasound fingerprint signal sent by the infrasound fingerprint receiver. For details, please refer to Figure 5 Step S501 of the embodiment shown in the figure will not be repeated here.

[0118] Step S602, comparing the coded infrasound signal and the infrasound fingerprint signal, and based on the comparison result, detecting the connection of the drainage pipeline. For details, please refer to Figure 5 Step S502 of the embodiment shown in the figure will not be repeated here.

[0119] Step S603, if the drainage pipeline is in a connected state, analyze the spatial variation characteristics of the infrasound fingerprint signal, and based on the spatial variation characteristics of the infrasound fingerprint signal and the time difference between the coded infrasound signal and the infrasound fingerprint signal, determine the mixed connection point, and obtain the mixed connection detection result of the drainage pipe network.

[0120] ​Specifically, the higher the acoustic intensity, the closer to the distance mixed connection point, the distance and the number of inspection wells are reviewed to determine the pipeline error connection point, and the specific steps are as follows: first, collect the sound wave sensor sound wave detection data and the field pipeline relationship; then according to the actual distance and the number of inspection wells, according to the pipeline attenuation model, calculate the theoretical expected sound pressure level (sound intensity) of the monitoring point, and compare with the measured value, if the actual sound intensity is different from the expected value, it may be close to the mixed connection point; combined with the pipe network topology, the sound intensity distribution map needs to be drawn, and the position with the largest sound intensity gradient change may exist leakage, that is, the mixed connection point; combined with the possible sound intensity leakage, that is, the mixed connection point and the receiving distance between the sound emitter and the receiver can locate the specific mixed connection point.

[0121] The step S603 comprises:

[0122] In step S6031, the sound wave intensity measured value is determined based on the secondary sound wave fingerprint signal corresponding to the drainage pipe network in the connected state.

[0123] Specifically, the sound wave intensity in each inspection well is detected by the secondary sound wave sensor arranged in the inspection well, and the amplitude of the collected signal is converted into sound pressure by Fourier transform, and the sound pressure is taken as the sound wave intensity measured value.

[0124] In step S6032, the drainage pipe network topology is obtained, and the sound wave intensity theoretical value is determined based on the drainage pipe network topology and the coded secondary sound wave signal and by using the pipeline attenuation model.

[0125] Specifically, according to the pipeline attenuation model, the theoretical expected sound pressure level (i.e. sound wave intensity theoretical value) of the monitoring point is calculated.

[0126] Further, the expression of the pipeline attenuation model is as follows:

[0127] (5)

[0128] wherein, is the propagation distance of the coded secondary sound wave signal in the pipeline, is the initial sound pressure level of the secondary sound wave fingerprint sound emitter, is the minimum sound pressure level (i.e. sound wave intensity theoretical value) that the sensor can receive, N is the number of inspection wells passed in the propagation distance, T is the transmission loss (dB) of a single inspection well, which is about 0.5-4.5 dB, and a is the attenuation coefficient composed of air absorption attenuation and pipe wall loss attenuation , which can be calculated by the following formula:

[0129] (6)

[0130] (7)

[0131] where η is the aerodynamic viscosity, is the air density (1.2 kg / m 3 ), is the speed of sound (343 m / s), is the frequency of the sound source, is the pipe diameter (m), is the air characteristic impedance (~413 Rayl), is the pipe wall material acoustic impedance.

[0132] For example, in a 500 mm diameter cement pipe, ≈3.2×10 -7 dB / m, which can be ignored; the pipe wall loss attenuation ≈0.00143 dB / m.

[0133] Step S6033, obtaining the sound wave transmission speed, calculating the receiving distance based on the time difference between the encoded infrasound wave signal and the infrasound wave fingerprint signal and the sound wave transmission speed.

[0134] Specifically, the time difference is determined based on the initial time at which the infrasound wave fingerprint emitter sends the encoded infrasound wave signal and the initial time at which the infrasound wave fingerprint receiver receives the infrasound wave fingerprint signal, and the receiving distance between the infrasound wave fingerprint emitter and the infrasound wave fingerprint receiver is calculated according to the sound wave transmission speed, and the calculation formula is as follows:

[0135] (8)

[0136] wherein, represents the receiving distance of the encoded infrasound wave signal between the infrasound wave fingerprint emitter and the infrasound wave fingerprint receiver, represents the initial time at which the infrasound wave fingerprint emitter sends a certain segment of the encoded infrasound wave signal, represents the initial time at which the infrasound wave fingerprint receiver receives the segment of the encoded infrasound wave signal, represents the propagation speed of sound in air, which is 340 m / s.

[0137] Step S6034, comparing the measured value of the sound wave intensity and the theoretical value of the sound wave intensity, and determining the mixed connection checking result of the drainage pipe network based on the comparison result and the receiving distance.

[0138] Specifically, the measured value of the sound wave intensity and the theoretical value of the sound wave intensity are compared, and if the measured value of the sound wave intensity is abnormally different from the theoretical value of the sound wave intensity, it is possible to be close to the mixed connection point, and then the sound intensity distribution map is drawn combined with the pipe network topology map, and the position with the largest sound intensity gradient change is observed, which may exist a leak, i.e. a mixed connection point.

[0139] For example, according to the sound wave intensity change monitored by the infrasound sensor arrangement upstream and downstream of the pipeline, through the first round of detection results, the problem pipeline is encrypted and arranged, such as shown in FIG. 1, if the sound wave intensity of point B is between points A and C, it can be judged that point B is directly connected to point A, if it is significantly lower than point C, it can be judged that it may be connected through point C, then the pipeline exists a mixed connection point. Figure 7

[0140] The drainage pipe network mixed connection checking method provided in the embodiment realizes active conduction and multi-point reception by encoding infrasound wave fingerprints, and quickly diagnoses the mixed connection problem of rainwater and sewage pipelines in combination with the topology of the drainage pipe network.

[0141] The specific steps of a drainage pipe network mixed connection checking method will be described below through a specific embodiment.

[0142] Embodiment 1

[0143] Taking a drainage pipeline with mixed connection of rainwater and sewage in a certain drainage area as an example, according to the upstream and downstream flow measurement of the sewage pipeline, the upstream and downstream distance of the area is about 500 m, and the upstream and downstream flow of the sewage pipe network exists, suspecting that there is a mixed connection problem of rainwater and sewage pipelines in the area, the area is checked, and the spatial distribution and type of inspection wells in the area are as shown in FIG. 2. Figure 8 The specific steps of the drainage pipe network mixed connection checking method based on active soundprint conduction include:

[0144] Step 1: Collect and analyze pipe network survey data

[0145] Collect the basic data of the pipe network area, including drainage pipe network design drawings, pipe length, pipe material, flow direction, inspection well number, coordinate and ground and bottom elevation, etc., sort out the connection relationship of rainwater and sewage pipe networks and the corresponding service area, sort out the drainage pipe network trend and the intersection of trunk and branch pipes, as shown in FIG. 3, the pipe diameters of rainwater and sewage pipelines are all 500 mm. Figure 9

[0146] Step 2: Arrange sound emitting devices and receiving sensors

[0147] For the inspection wells in the target area, the loudspeaker unit of the sound emitting device is arranged in the upstream inspection well W1 of the sewage pipeline, and the downstream pipe opening is arranged by means of adjusting flange, the propagation distance of sound wave in the pipeline is calculated :

[0148]

[0149] wherein, is the initial sound pressure level of the sound emitter, which is 100 dB in the embodiment; ​​is the minimum sound pressure level that the sensor can receive, in the embodiment, the sensor is 10 dB; N is the number of inspection wells passed in the distance; T is the transmission loss (dB) of a single inspection well, in the embodiment, 3.2 dB, is the attenuation coefficient, which is composed of air absorption attenuation and pipe wall loss attenuation , which can be calculated as ≈3.2×10 -7 dB / m, which can be ignored; in a 500 mm diameter cement pipeline, the pipe wall loss attenuation ≈0.00143 dB / m.

[0150] The effective propagation distance of the infrasound wave fingerprint is about 980 m through iterative calculation, the farthest length of the sewage pipeline from the infrasound wave fingerprint sound source in the area is about 500 m, and the farthest distance of the rainwater pipeline is about 750 m, indicating that the infrasound wave fingerprint in the area can be effectively detected, and the area is divided into a diagnostic area. The infrasound wave sensor capable of transmitting data is arranged in other inspection wells in the area through a fixing device.

[0151] Step three: feature soundprint compilation and sending:

[0152] The infrasound wave fingerprint based on the frequency change over time is compiled, and the speaker unit of the sound emitting device is used to continuously send the infrasound wave fingerprint into the pipeline, so as to distinguish the interference of the environmental background noise. The sent frequency change infrasound wave fingerprint composite signal is as shown in Figure 10 .

[0153] Step 4: feature soundprint detection and error junction determination:

[0154] Taking the inspection well W1 as the starting point, along its emission direction, the pre-arranged infrasound wave sensor and the mobile sensor are used to collect the infrasound wave signals of the pipeline openings in the surrounding pipeline inspection wells, and the signals are digitized through analog-to-digital conversion. The signal is returned to the data background through the wireless transmission module. The data background is built-in filtering algorithm, and the feature of the sound emitting device is compiled signal is used for synchronous extrusion wavelet transform, the amplitude-time signal is converted into time-frequency signal, and after normalization, the matrix consistency quantization method based on Frobenius norm is used to compare the coded infrasound wave signal of the generator modulator, and the detection of the characteristic infrasound wave is determined.

[0155] It is found through detection that infrasound fingerprint signals can be detected in downstream sewage pipes W2-4, and the signal sound pressure level gradually decreases. In the rainwater pipes Y1-6 and Y9, the infrasound fingerprint is also detected, in which the signal strength of Y4 is the strongest, gradually decreases upstream and downstream, and is slightly lower than the signal strength of W3. The sewage pipes W5-6 in the nearby area also detect weak infrasound fingerprints. This means that the rainwater and sewage pipes in the area are indeed connected, and the signal strength can be used to determine that W3 is connected to Y4, and extends downstream to Y5, and Y6 is connected to W5 and W7. Y4 and Y7, Y8 are not connected, indicating that the actual situation does not match the design data. Further verification of the above results is carried out by using a periscope from the inspection well.

[0156] In the above embodiment 1, the infrasound wave, as a mechanical wave, has the advantages of long wavelength, slow attenuation, suitable for long-distance, multi-medium efficient propagation and small environmental background noise. The industrial production process of the equipment is mature, and the cost is low. It can be used as a non-material state fingerprint information for active transmission, high-frequency reception and accurate interpretation, so as to realize low cost, high efficiency and non-destructive investigation of the mixed connection problem of the drainage pipe network.

[0157] In this embodiment, a drainage pipe network mixed connection investigation device is also provided, which is used to realize the above embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that realizes a predetermined function. Although the device described in the following embodiments is preferably realized in software, hardware, or a combination of software and hardware is also possible and is conceived.

[0158] The present embodiment provides a drainage pipe network mixed connection investigation device, which is applied to the data background of the above-mentioned drainage pipe network mixed connection investigation system based on active voiceprint conduction, as shown in Figure 11 , comprising:

[0159] The acquisition module 1101 is configured to acquire the encoded infrasound wave signal sent by the infrasound wave fingerprint sound emitter and the infrasound wave fingerprint signal sent by the infrasound wave fingerprint receiver.

[0160] The connection detection module 1102 is configured to compare the encoded infrasound wave signal and the infrasound wave fingerprint signal, and perform drainage pipe connection detection based on the comparison result.

[0161] The mixed connection point determination module 1103 is configured to, if the drainage pipe is in a connected state, analyze the spatial variation characteristics of the infrasound wave fingerprint signal, and determine the mixed connection point based on the spatial variation characteristics of the infrasound wave fingerprint signal and the time difference between the encoded infrasound wave signal and the infrasound wave fingerprint signal, to obtain the drainage pipe network mixed connection investigation result.

[0162] In some optional embodiments, the connection detection module 1102 comprises:

[0163] a conversion unit, configured to respectively convert the coded infrasound wave signal and the infrasound wave fingerprint signal into a sound source time-frequency signal and a receiving time-frequency signal;

[0164] a normalization processing unit, configured to respectively perform normalization processing on the sound source time-frequency signal and the receiving time-frequency signal to obtain a normalized sound source time-frequency signal and a normalized receiving time-frequency signal;

[0165] a construction unit, configured to compare the normalized sound source time-frequency signal and the normalized receiving time-frequency signal to construct a difference matrix;

[0166] a comparison unit, configured to calculate a normalized norm based on the difference matrix, and compare the normalized norm with a preset threshold;

[0167] a judgment unit, configured to determine that the current drainage pipeline in the target diagnosis area is in a connected state with the target drainage pipeline if the normalized norm is less than the preset threshold.

[0168] In some optional embodiments, the mistaken connection point determination module 1103 includes:

[0169] a first determination unit, configured to determine a sound wave intensity measured value based on the infrasound wave fingerprint signal corresponding to the drainage pipe network in the connected state;

[0170] a second determination unit, configured to acquire a drainage pipe network topology, and determine a sound wave intensity theoretical value based on the drainage pipe network topology and the coded infrasound wave signal by using a pipeline attenuation model;

[0171] a calculation unit, configured to acquire a sound wave transmission speed, and calculate a receiving distance based on a time difference between the coded infrasound wave signal and the infrasound wave fingerprint signal and the sound wave transmission speed;

[0172] a comparison unit, configured to compare the sound wave intensity measured value and the sound wave intensity theoretical value, and determine a mistaken connection point elimination result of the drainage pipe network based on a comparison result and the receiving distance.

[0173] Further function descriptions of the above various modules and units are the same as those of the above corresponding embodiments, and will not be described here.

[0174] The drainage pipe network mistaken connection point elimination device in the embodiment is presented in the form of functional units. The units herein refer to ASIC (Application Specific Integrated Circuit, special-purpose integrated circuit) circuits, processors and memories that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0175] The embodiment of the present application also provides a computer device having the above Figure 11A sewer network mixed connection checking device.

[0176] Please refer to Figure 12 , Figure 12 is a structural schematic diagram of a computer device provided by an optional embodiment of the present application, as Figure 12 shown, the computer device includes one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are communicatively connected by different buses, and can be installed on a common motherboard or in other manners as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display a GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, multiple processors and / or multiple buses can be used with multiple memories, if needed. Similarly, multiple computer devices can be connected, each providing part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 12 In the above embodiment, the processor 10 is taken as an example.

[0177] The processor 10 can be a central processor, a network processor, or a combination thereof. The processor 10 can further include a hardware chip. The hardware chip can be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device can be a complex programmable logic device, a field programmable logic gate array, a generic array logic, or any combination thereof.

[0178] The memory 20 stores instructions executable by the at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiments.

[0179] The memory 20 can include a program storage area and a data storage area. The program storage area can store an operating system, application programs required by at least one function; and the data storage area can store data created according to the use of the computer device, etc. In addition, the memory 20 can include a high-speed random access memory, and can 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 memory device. In some optional embodiments, the memory 20 can optionally include a memory remotely arranged with respect to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0180] The memory 20 can include a volatile memory, such as a random access memory, and / or can include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive. The memory 20 can also include a combination of the above-mentioned types of memories.

[0181] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 can be connected by a bus or other means, Figure 12 The bus connection is taken as an example.

[0182] The input device 30 can receive inputted digital or character information, and generate key signal inputs related to user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (e.g., an LED), a tactile feedback device (e.g., a vibration motor), etc. The display device includes, but is not limited to, a liquid crystal display, a light emitting diode, a display and a plasma display. In some alternative embodiments, the display device can be a touch screen.

[0183] The embodiments of the present application also provide a computer readable storage medium, and the above-mentioned method according to the embodiments of the present application can be implemented in hardware, firmware, or recorded in a storage medium, or stored in a remote storage medium or a non-transitory machine readable storage medium and downloaded from a network and stored in a local storage medium, so that the method described herein can be processed by such software on a storage medium using a general purpose computer, a special purpose processor or programmable or special purpose hardware. The storage medium can 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 disk, etc. Further, the storage medium can also include a combination of the above-mentioned types of memories. It can be understood that the computer, the processor, the microprocessor controller or the programmable hardware include a storage component that can store or receive software or computer code, when the software or computer code is accessed and executed by the computer, the processor or the hardware, the method shown in the above-mentioned embodiments is implemented.

[0184] Part of the present application can be applied as a computer program product, for example, computer program instructions, when executed by a computer, through the operation of the computer, can invoke or provide the method and / or technical solutions according to the present application. Those skilled in the art should understand that the form of computer program instructions in computer readable medium includes but is not limited to source files, executable files, installation package files and the like, and accordingly, the way of computer program instructions executed by computer includes but is 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. Here, the computer readable medium can be any available computer readable storage medium or communication medium accessible to the computer.

[0185] Although the embodiments of the present application are described in conjunction with the drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. A method for checking a mixed connection of a sewer network, characterized by, The application is applied to a data background of a mixed connection checking system of a drainage pipe network, and the mixed connection checking system of the drainage pipe network comprises: a infrasound fingerprint sounder, an infrasound fingerprint receiver and a data background which are connected in sequence; the infrasound fingerprint sounder is arranged at a pipe opening of a target drainage pipe, and the infrasound fingerprint receiver is arranged in a drainage pipe opening in a target diagnosis area; The infrasound fingerprint sounder is configured to encode an infrasound fingerprint to obtain an encoded infrasound signal, send the encoded infrasound signal into the target drainage pipe, and send the encoded infrasound signal to the data background; The infrasound fingerprint receiver is configured to collect an infrasound fingerprint signal of the drainage pipe opening in the target diagnosis area and send the infrasound fingerprint signal to the data background; wherein the target diagnosis area is an area determined based on a sending direction of the encoded infrasound signal and a propagation distance of the encoded infrasound signal in the target drainage pipe; The data background is configured to perform pipe connection detection and mixed connection point determination based on the encoded infrasound signal and the infrasound fingerprint signal to obtain a mixed connection checking result of the drainage pipe network; The method comprises: obtaining an encoded infrasound signal sent by the infrasound fingerprint sounder and an infrasound fingerprint signal sent by the infrasound fingerprint receiver; comparing the encoded infrasound signal and the infrasound fingerprint signal, and performing drainage pipe connection detection based on a comparison result; if the drainage pipe is in a connected state, analyzing a spatial variation characteristic of the infrasound fingerprint signal, performing mixed connection point determination based on the spatial variation characteristic of the infrasound fingerprint signal and a time difference between the encoded infrasound signal and the infrasound fingerprint signal, and obtaining a mixed connection checking result of the drainage pipe network.

2. The method of claim 1, wherein, The infrasound fingerprint sounder comprises: a signal source and a loudspeaker, the signal source and the loudspeaker are connected through an extension line; the signal source comprises a direct digital frequency synthesizer chip, a microcontroller, a filter circuit and a power amplifier; The microcontroller is configured to obtain a characteristic signal parameter and send a control signal to the direct digital frequency synthesizer chip based on the characteristic signal parameter; The direct digital frequency synthesizer chip is configured to output a pulse analog signal with spectral characteristics and time domain information based on the control signal, encode an infrasound fingerprint based on the pulse analog signal with spectral characteristics and time domain information, and obtain an infrasound analog signal; The filter circuit is configured to filter and remove high-frequency signals in the infrasound analog signal; The power amplifier is configured to perform power amplification on the infrasound analog signal after filtering and removing the high-frequency signals, drive the loudspeaker to generate the encoded infrasound signal based on the power-amplified infrasound analog signal, and send the encoded infrasound signal to the data background; The loudspeaker is configured to send the encoded infrasound signal into the target drainage pipe.

3. The method of claim 1, wherein, The infrasound fingerprint receiver comprises an infrasound sensor, a preamplifier, a band-pass filter module, an analog-to-digital conversion module and a digital signal processing module; The infrasound wave sensor is used to collect an infrasound wave fingerprint signal of a sewer pipe opening in the target diagnosis area, and sequentially processes the infrasound wave fingerprint signal through the preamplifier, the band-pass filter module, the analog-to-digital conversion module and the digital signal processing module, and sends the processed infrasound wave fingerprint signal to the data background.

4. The method of claim 1, wherein, The comparison of the coded infrasound wave signal and the infrasound wave fingerprint signal and the drainage pipe communication detection based on the comparison result include: The coded infrasound wave signal and the infrasound wave fingerprint signal are respectively converted into sound source time-frequency signals and received time-frequency signals; The sound source time-frequency signals and the received time-frequency signals are respectively normalized to obtain normalized sound source time-frequency signals and normalized received time-frequency signals; The normalized sound source time-frequency signals and the normalized received time-frequency signals are compared to construct a difference matrix; The normalized norm is calculated based on the difference matrix, and the normalized norm is compared with a preset threshold value; If the normalized norm is less than the preset threshold value, the current drainage pipe in the target diagnosis area is in a communication state with the target drainage pipe.

5. The method of claim 1, wherein, If the drainage pipe is in a communication state, the spatial variation characteristics of the infrasound wave fingerprint signal are analyzed, the time difference between the coded infrasound wave signal and the infrasound wave fingerprint signal is determined based on the spatial variation characteristics of the infrasound wave fingerprint signal, and a mixed connection point judgment is performed to obtain a mixed connection detection result of the drainage pipe network, including: The sound wave intensity measured value is determined based on the infrasound wave fingerprint signal corresponding to the drainage pipe network in the communication state; The sound wave intensity theoretical value is determined based on the drainage pipe network topology and the coded infrasound wave signal using a pipe attenuation model; The sound wave transmission speed is obtained, and the receiving distance is calculated based on the time difference between the coded infrasound wave signal and the infrasound wave fingerprint signal and the sound wave transmission speed; The sound wave intensity measured value and the sound wave intensity theoretical value are compared, and the mixed connection detection result of the drainage pipe network is determined based on the comparison result and the receiving distance.

6. A sewer network mixed connection troubleshooting device, characterized in that, The device for implementing the drainage pipe network mixed connection detection method of any one of claims 1 to 5 includes: An acquisition module is configured to acquire a coded infrasound wave signal sent by an infrasound wave fingerprint sound emitter and an infrasound wave fingerprint signal sent by an infrasound wave fingerprint receiver; A communication detection module is configured to compare the coded infrasound wave signal and the infrasound wave fingerprint signal, and perform drainage pipe communication detection based on the comparison result; A mixed connection point judgment module is configured to analyze the spatial variation characteristics of the infrasound wave fingerprint signal if the drainage pipe is in a communication state, perform mixed connection point judgment based on the spatial variation characteristics of the infrasound wave fingerprint signal and the time difference between the coded infrasound wave signal and the infrasound wave fingerprint signal, and obtain a mixed connection detection result of the drainage pipe network.

7. A computer device, comprising: The device includes: A memory and a processor, which are in communication connection with each other, the memory has computer instructions stored therein, and the processor executes the computer instructions to perform the method for checking mixed connection of a sewer network according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium has computer instructions stored thereon, and the computer instructions are used to make a computer execute the method for checking mixed connection of a sewer network according to any one of claims 1 to 5.

9. A computer program product, characterised in that, The computer readable storage medium has computer instructions stored thereon, and the computer instructions are used to make a computer execute the method for checking mixed connection of a sewer network according to any one of claims 1 to 5.

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