System, method and device for checking mixed connection and misconnection of drainage pipe network

Abstract

The invention relates to the technical field of drainage management, and discloses a drainage pipe network mixed connection and misconnection checking system, method and device, and the system comprises an infrasonic wave fingerprint sounder, an infrasonic wave fingerprint receiver and a data background which are in wireless connection in sequence. The infrasonic wave fingerprint sounder is arranged at a pipe opening of a target drainage pipeline, and the infrasonic wave fingerprint receiver is arranged in a drainage pipeline opening in a target diagnosis area; the infrasonic wave fingerprint generator encodes the infrasonic wave fingerprint to obtain an encoded infrasonic wave signal, and sends the encoded infrasonic wave signal into the target drainage pipeline; the infrasonic wave fingerprint receiver collects infrasonic wave fingerprint signals of the drainage pipeline opening in the target diagnosis area; and the data background performs pipeline communication detection and mixed and wrong connection point judgment based on the coded infrasonic wave signal and the infrasonic wave fingerprint signal to obtain a drainage pipe network mixed and wrong connection troubleshooting result. According to the method, the accuracy of a drainage pipe network mixed connection and misconnection troubleshooting result is ensured, and the troubleshooting efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of drainage management, and particularly relates to a mixed and wrong connection detection system, method and device for a drainage pipe network. 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 and wrong connection 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 and wrong connection problems.

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

[0004] Therefore, the present application provides a mixed and wrong connection detection system, method and device for a drainage pipe network to solve the problems of low detection efficiency and low accuracy of the mixed and wrong connection detection result of the drainage pipe network.

[0005] In a first aspect, the present application provides a mixed and wrong connection detection system for a drainage pipe network, 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. 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. 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. The data background is used for pipe connection detection and mixed and wrong connection point determination based on the encoded subsonic wave signal and the subsonic wave fingerprint signal to obtain a mixed and wrong connection detection result of the drainage pipe network.

[0006] The drainage pipe network mixed connection checking system provided by the embodiment is characterized in that the infrasonic wave fingerprint is a non-substance form tracer, the mixed connection problem of the drainage pipe network is checked based on the rapid active propagation and sensitive reception of the non-substance form tracer, the technical bottleneck faced by the traditional invasive imaging and the indirect diagnosis path of water quality and quantity is broken through, the infrasonic wave with the fingerprint feature is actively compiled, the environmental noise can be effectively distinguished, compared with other sound wave detection methods, the attenuation of the infrasonic wave propagation process is small, the external interference is small, and the propagation distance is long, finally, the pipe connection detection and mixed connection point determination are performed through the coded infrasonic wave signal and infrasonic wave fingerprint signal, the mixed connection problem of the drainage pipe network can be accurately, efficiently and low-cost diagnosed, the accuracy of the mixed connection checking result of the drainage pipe network is ensured, and the checking efficiency is improved.

[0007] In an optional implementation, the infrasonic wave fingerprint sound generator comprises a signal source and a loudspeaker, and 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 acquire characteristic signal parameters and send control signals to the direct digital frequency synthesizer chip based on the characteristic signal parameters. 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 signals, and encode the infrasonic wave fingerprint based on the pulse analog signal with spectral characteristics and time domain information to obtain an infrasonic wave analog signal. The filter circuit is configured to filter and remove high-frequency signals in the infrasonic wave analog signal. The power amplifier is configured to perform power amplification on the infrasonic wave analog signal after the high-frequency signals are filtered and removed, drive the loudspeaker to generate a coded infrasonic wave signal based on the power-amplified infrasonic wave analog signal, and send the coded infrasonic wave signal to the data background. The loudspeaker is configured to send the coded infrasonic wave signal to the target drainage pipe.

[0008] In an optional implementation, the infrasonic wave fingerprint receiver comprises an infrasonic wave sensor, a preamplifier, a band-pass filter module, an analog-to-digital conversion module and a digital signal processing module. The infrasonic wave sensor is configured to collect infrasonic wave fingerprint signals of drainage pipe openings in a target diagnosis area, and sequentially send the infrasonic 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, and send the processed infrasonic wave fingerprint signals to the data background.

[0009] In a second aspect, the application provides a drainage pipe network mixed connection checking method applied to the data background of the drainage pipe network mixed connection checking system in the first aspect or any of the corresponding embodiments, and the method comprises the following steps: acoustic fingerprint signal received by the acoustic fingerprint receiver and the encoded infrasound signal sent by the infrasound fingerprint sounder; The encoded infrasound signal and the infrasound fingerprint signal are compared, and drainage pipeline communication detection is performed based on the comparison result. If the drainage pipeline is in a communication state, the spatial variation characteristics of the infrasound fingerprint signal are analyzed, and a misconnection point is determined based on the spatial variation characteristics of the infrasound fingerprint signal and the time difference between the encoded infrasound signal and the infrasound fingerprint signal, and a misconnection and connection detection result of the drainage pipeline network is obtained.

[0010] The drainage pipeline network misconnection and connection detection method provided in this embodiment compares the infrasound fingerprint signal received by the acoustic fingerprint receiver and the encoded infrasound signal sent by the infrasound fingerprint sounder, accurately judges whether the infrasound fingerprint is received, and then accurately detects the communication of the drainage pipeline. Then, based on the spatial variation characteristics of the infrasound fingerprint signal and the time difference between the encoded infrasound signal and the infrasound fingerprint signal, the misconnection point is determined, and the misconnection point is accurately positioned. The misconnection problem of the drainage pipeline network can be accurately, efficiently and low-cost diagnosed.

[0011] In an optional implementation, the encoded infrasound signal and the infrasound fingerprint signal are compared, and drainage pipeline communication detection is performed based on the comparison result, including: The encoded infrasound signal and the infrasound fingerprint signal are respectively converted into a sound source time-frequency signal and a received time-frequency signal. The sound source time-frequency signal and the received time-frequency signal are respectively normalized to obtain a normalized sound source time-frequency signal and a normalized received time-frequency signal. The normalized sound source time-frequency signal and the normalized received time-frequency signal 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. If the normalized norm is less than the preset threshold, the current drainage pipeline in the target diagnosis area and the target drainage pipeline are in a communication state.

[0012] The drainage pipeline network misconnection and connection detection method provided in this embodiment compares the time-frequency signal corresponding to the infrasound fingerprint signal and the time-frequency signal corresponding to the encoded infrasound signal, constructs a difference matrix, and measures the size of the difference matrix through the normalized norm. The accuracy of the judgment of whether the infrasound fingerprint signal and the encoded infrasound signal are the same signal is realized, and the communication state between the pipelines is accurately mastered.

[0013] In an optional embodiment, if the drainage pipe is in a connected state, the spatial variation characteristics of the infrasonic fingerprint signal are analyzed, and a mixed-up connection point determination is performed based on the spatial variation characteristics of the infrasonic fingerprint signal and the time difference between the encoded infrasonic signal and the infrasonic fingerprint signal, to obtain a drainage pipe network mixed-up connection investigation result, including: Determine the measured value of the sound wave intensity based on the infrasound fingerprint signal corresponding to the drainage pipe network in a connected state; Obtain the drainage network topology, and based on the drainage network topology and the coded infrasound signal, use the pipeline attenuation model to determine the theoretical value of the sound wave intensity; Obtaining the sound wave transmission speed, and calculating the receiving distance based on the time difference between the encoded infrasound signal and the infrasound fingerprint signal and the sound wave transmission speed; The measured value of the sound wave intensity is compared with the theoretical value of the sound wave intensity, and the results of the drainage network mixed and wrong connection investigation are determined based on the comparison result and the receiving distance.

[0014] This embodiment provides a method for troubleshooting mixed and incorrect connections in a drainage network. By encoding infrasonic fingerprints and implementing active conduction and multi-point reception, combined with the drainage network topology, it can quickly diagnose mixed and incorrect connections in rainwater and sewage pipes.

[0015] In a third aspect, the present invention provides a drainage network mixed and wrong connection troubleshooting device, which is applied to the data background of the drainage network mixed and wrong connection troubleshooting system of the first aspect or any corresponding embodiment thereof, and the device includes: An acquisition module, configured to acquire the coded infrasonic wave signal sent by the infrasonic wave fingerprint emitter and the infrasonic wave fingerprint signal sent by the infrasonic wave fingerprint receiver; a connectivity detection module, configured to compare the coded infrasonic wave signal with the infrasonic wave fingerprint signal and perform drainage pipe connectivity detection based on the comparison result; The mixed-connection error determination module is used to analyze the spatial variation characteristics of the infrasonic fingerprint signal if the drainage pipe is in a connected state, and to perform mixed-connection error determination based on the spatial variation characteristics of the infrasonic fingerprint signal and the time difference between the encoded infrasonic signal and the infrasonic fingerprint signal, thereby obtaining the mixed-connection inspection results of the drainage network.

[0016] In a fourth aspect, the present invention provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, computer instructions being stored in the memory, and the processor executing the method for checking mixed and incorrect connections in a drainage network according to the second aspect or any corresponding embodiment thereof by executing the computer instructions.

[0017] In a fifth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, and the computer instructions are used to enable a computer to execute the method for checking mixed and incorrect connections in a drainage network according to the second aspect or any corresponding embodiment thereof.

[0018] In a sixth aspect, the present application provides a computer program product comprising computer instructions for causing a computer to perform the sewer network mixed connection checking method of the second aspect or any of the corresponding embodiments thereof. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings required to be used in the specific embodiments or prior art description will be briefly introduced as follows. 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 on the basis of these drawings.

[0020] Figure 1 is a structural schematic diagram of a sewer network mixed connection checking system according to an embodiment of the present application; Figure 2 is a structural schematic diagram of an infrasound wave fingerprint sound generator according to an embodiment of the present application; Figure 3 is a structural schematic diagram of an infrasound wave fingerprint receiver according to an embodiment of the present application; Figure 4 is a flow schematic diagram of a sewer network mixed connection checking method according to an embodiment of the present application; Figure 5 is a flow schematic diagram of another sewer network mixed connection checking method according to an embodiment of the present application; Figure 6 is a flow schematic diagram of still another sewer network mixed connection checking method according to an embodiment of the present application; Figure 7 is a schematic diagram of mixed connection point determination according to an embodiment of the present application; Figure 8 is a schematic diagram of inspection well spatial distribution and type in a district according to an embodiment of the present application; Figure 9 is a schematic diagram of pipe connection relationship and direction based on sewer network general survey data according to an embodiment of the present application; Figure 10 is a schematic diagram of an infrasound wave fingerprint original signal according to an embodiment of the present application; Figure 11 is a structural block diagram of a sewer network mixed connection checking device according to an embodiment of the present application; Figure 12 is a hardware structural schematic diagram of a computer device of an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to make the purposes, 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 a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0022] The related mixed connection and misconnection checking technologies of the drainage pipe network mainly include the geophysical prospecting method and the water quality and quantity analysis method.

[0023] The geophysical prospecting method includes the 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 judge the mixed connection and misconnection problem. 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 sediment if necessary, which is extremely time-consuming, labor-intensive and expensive.

[0024] The water quality and quantity analysis method (such as the water quantity balance analysis method, the characteristic factor analysis method and the like) can realize the water operation and water quantity tracing analysis, and effectively realize the cost control. However, the method has high requirements for the water quality and quantity detection conditions and data accuracy, the influencing factors are complex, and the effect accuracy is difficult to guarantee. In addition, the method needs to be implemented during the water quantity discharge period of the pipe mixed connection and misconnection, which leads to great difficulty in tracking and monitoring, and outstanding limitations.

[0025] The embodiments of the present application provide a drainage pipe network mixed connection and misconnection checking system, which actively conducts and multi-point receives by coding infrasound wave fingerprints, intelligently constructs the topological relationship of the drainage pipe network, and quickly diagnoses the mixed connection and misconnection problem of the rainwater and sewage pipe by combining with the drainage pipe network GIS (Geographic Information System, geographic information system) system.

[0026] The embodiments provide a drainage pipe network mixed connection and misconnection checking system, as shown in Figure 1 The system includes an infrasound wave fingerprint sounder 101, an infrasound wave fingerprint receiver 102 and a data background 103 which are sequentially and wirelessly connected. The infrasound wave fingerprint sounder 101 is arranged at the pipe opening of the target drainage pipe, and the infrasound wave fingerprint receiver 102 is arranged in the drainage pipe opening in the target diagnosis area.

[0027] The basic information of the target drainage pipe network determined to have a misconnection problem is collected, including drainage pipe network design drawings, pipe length, pipe material, flow direction, inspection well number, coordinates, ground and bottom elevation, and the spatial relationship and corresponding service area of the rainwater pipe network and the sewage pipe network are sorted out, and the drainage pipe network is grid partitioned based on the junction of the main pipe and the branch pipe; then for any grid partitioned drainage pipe network, the infrasonic fingerprint sounder 101 is placed at the pipe opening Q of the drainage pipe through the inspection well, and sealing fit with the pipe opening is achieved through adjusting the flange; according to the propagation loss of the infrasound wave in the pipe, the nearby inspection well position that the infrasound fingerprint sending direction can reach is determined, and the range between them is marked as a diagnostic area, and the infrasound fingerprint receiver 102 with online data transmission function is arranged in other drainage pipes W, E, R in the diagnostic area through a fixing device.

[0028] The infrasound fingerprint sounder 101 is configured to encode the 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 103.

[0029] The infrasound fingerprint receiver 102 is configured to collect the infrasound fingerprint signal of the drainage pipe opening in the target diagnostic area and send the infrasound fingerprint signal to the data background 103; wherein the target diagnostic area is an area determined based on the sending direction of the encoded infrasound signal and the propagation distance of the encoded infrasound signal in the target drainage pipe.

[0030] The data background 103 is configured to perform pipe connectivity detection and misconnection point determination based on the encoded infrasound signal and the infrasound fingerprint signal, and obtain a misconnection checking result of the drainage pipe network.

[0031] Specifically, since the infrasound fingerprint signal received by the infrasound fingerprint receiver 102 is the encoded infrasound signal sent by the infrasound fingerprint sounder 101 or the environmental background sound signal, pipe connectivity detection is performed through the data background 103 to judge the infrasound fingerprint signal, and then determine the connectivity state of the pipe.

[0032] 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 fingerprint characteristics. 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 pipeline 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.

[0033] 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.

[0034] 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.

[0035] The micro control unit 10112 is configured to acquire characteristic signal parameters and send control signals to the direct digital frequency synthesizer chip based on the characteristic signal parameters.

[0036] The direct digital frequency synthesizer chip 10111 is configured to output a pulse analog signal with spectral characteristics and time domain information based on the control signals, and encode the infrasound wave fingerprint based on the pulse analog signal with spectral characteristics and time domain information to obtain an infrasound wave analog signal.

[0037] Specifically, the micro control unit 10112 controls the direct digital frequency synthesizer chip 10111 to output a pulse analog signal with spectral characteristics and time domain information to encode the infrasound wave fingerprint signal in the infrasound wave fingerprint sounder 101. Specifically, the characteristic signal parameters input by the micro control unit 10112 control the direct digital frequency synthesizer chip 10111 to output a pulse analog signal with spectral characteristics and time domain information, and then the pulse analog signal is used to encode the infrasound wave fingerprint to obtain an infrasound wave analog signal.

[0038] Furthermore, an infrasound fingerprint based on frequency changes and pulse changes is compiled and continuously sent into the pipeline through the speaker 1012. The infrasound fingerprint encoding method is as follows: (1) in, is the modulated signal (i.e. the encoded infrasound signal), For the Segment start time, For the The end time of the segment, is the carrier frequency; for The frequency of the segment, For the The cumulative time of the segment, For the front The cumulative phase of the segment.

[0039] The filter circuit 10113 is used to filter and remove high-frequency signals from the infrasound analog signal.

[0040] Specifically, after filtering and removing the high-frequency signal in the infrasound analog signal, a low-frequency signal that meets the infrasound range is obtained.

[0041] The power amplifier 10114 is used to power amplify the infrasonic analog signal after filtering to remove the high-frequency signal, drive the speaker 1012 based on the power-amplified infrasonic analog signal to generate a coded infrasonic signal, and send the coded infrasonic signal to the data background 103.

[0042] Specifically, the power amplifier 10114 amplifies the infrasound analog signal after filtering and removing the high-frequency signal to a sufficient power, and drives the speaker 1012 to generate a coded infrasound signal.

[0043] The speaker 1012 is used to send the coded infrasound signal into the target drainage pipe.

[0044] Specifically, by matching the adjusting flange with pipe diameters of different sizes, the coded infrasonic wave signal is sent into the target drainage pipe to achieve active conduction in the pipe.

[0045] In some optional embodiments, such as Figure 3 As shown, the infrasonic fingerprint receiver 102 includes an infrasonic sensor 1021, a preamplifier 1022, a bandpass filter module 1023, an analog-to-digital conversion module 1024 and a digital signal processing module 1025; The infrasound sensor 1021 is used to collect the infrasound fingerprint signal of the outlet of the drainage pipeline in the target diagnosis area, and the infrasound fingerprint signal is sequentially processed by the preamplifier 1022, the band-pass filter module 1023, the analog-to-digital conversion module 1024 and the digital signal processing module 1025, and the processed infrasound fingerprint signal is sent to the data background 103.

[0046] Specifically, the infrasound sensor 1021 receives the infrasound 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, and 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.

[0047] According to the embodiment of the present application, a drainage pipeline network misconnection checking method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from that shown here.

[0048] In this embodiment, a drainage pipeline network misconnection checking method is provided, which can be used in the data background 103 of the drainage pipeline network misconnection checking system described above, Figure 4 is a flowchart of a drainage pipeline network misconnection checking method according to an embodiment of the present application, as Figure 4 shown, the flow includes the following steps: Step S401, obtaining the encoded infrasound signal sent by the infrasound fingerprint sound emitter and the infrasound fingerprint signal sent by the infrasound fingerprint receiver.

[0049] Step S402, comparing the encoded infrasound signal and the infrasound fingerprint signal, and performing drainage pipeline communication detection based on the comparison result.

[0050] Step S403, if the drainage pipeline is in a communication state, analyzing the spatial variation characteristics of the infrasound fingerprint signal, determining the misconnection point based on the spatial variation characteristics of the infrasound fingerprint signal, and the time difference between the encoded infrasound signal and the infrasound fingerprint signal, and obtaining the drainage pipeline network misconnection checking result.

[0051] Specifically, when the infrasound fingerprint is detected in the monitoring pipeline manhole, it means that the monitoring pipeline in the grid partition has a connection relationship with the sound emitting pipeline, and further according to the spatial variation characteristics of the infrasound fingerprint signal intensity in the monitoring pipeline manhole, the point suspected to have the misconnection problem is locked.

[0052] The drainage pipe network mixed connection checking method provided in the embodiment can accurately judge whether the infrasound fingerprint is received by comparing the infrasound fingerprint signal received by the infrasound fingerprint receiver and the coded infrasound signal transmitted by the infrasound fingerprint sound generator, and then accurately detect the drainage pipe connection, and further determine the mixed connection point 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, so that the mixed connection point can be accurately positioned, and the mixed connection problem of the drainage pipe network can be accurately, efficiently and low-cost diagnosed.

[0053] In the embodiment, a drainage pipe network mixed connection checking method is provided, which can be used for data background 103 in the drainage pipe network mixed connection checking system, Figure 5 The flowchart of the drainage pipe network mixed connection checking method according to the embodiment of the present application is shown in Figure 5 The flowchart includes the following steps: In step S501, the coded infrasound signal transmitted by the infrasound fingerprint sound generator and the infrasound fingerprint signal transmitted by the infrasound fingerprint receiver are acquired. For details, refer to step S401 in the embodiment shown in Figure 4 The details are not repeated here.

[0054] In step S502, the coded infrasound signal and the infrasound fingerprint signal are compared, and the drainage pipe connection is detected based on the comparison result.

[0055] Specifically, taking the drainage pipe emission point in the diagnosis area as the starting point, the pre-laid infrasound sensor is used to collect the infrasound signal of the pipe opening of the surrounding drainage pipe inspection well along the emission direction of the drainage pipe, the signal is digitized through the analog-digital conversion module, the signal is returned to the data background through the wireless transmission module, the data background is built-in filtering algorithm, the coded signal characteristics of the infrasound fingerprint sound generator are 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 signal modulated by the generator, the detection of the characteristic infrasound is judged, and whether the pipes are connected is judged.

[0056] The step S502 includes: In step S5021, the coded infrasound signal and the infrasound fingerprint signal are respectively converted into sound source time-frequency signal and receiving time-frequency signal.

[0057] Specifically, the data uploaded by the infrasound fingerprint sound generator and the infrasound fingerprint receiver is received through the wireless board, the coded infrasound signal and the infrasound fingerprint signal are respectively subjected to synchronous extrusion wavelet transform, the amplitude-time information is converted into frequency-time signal, the spectrum characteristics and time domain information are acquired, and the time-frequency graph (two-dimensional matrix) is generated, that is, the sound source time-frequency signal and the receiving time-frequency signal.

[0058] Step S5022, respectively, the sound source time-frequency signal and the received time-frequency signal are normalized to obtain the normalized sound source time-frequency signal and the normalized received time-frequency signal.

[0059] Specifically, the sound source time-frequency signal and the received time-frequency signal are normalized, and the energy of each time-frequency point is Z-score standardized, and the expression is as follows: (2) In the above formula, is the normalized frequency-time signal, is the sound source time-frequency signal or the received time-frequency signal, is the mean of all time-frequency points, is the standard deviation of all time-frequency points.

[0060] Step S5023, the normalized sound source time-frequency signal and the normalized received time-frequency signal are compared to construct a difference matrix.

[0061] Specifically, the normalized sound source time-frequency signal and the received time-frequency signal are mapped to the [0, 1] interval, and a matrix consistency quantification method based on the Frobenius norm (a commonly used mathematical tool for measuring the "overall size" of a matrix) is used. The processed frequency-time signal data is compared with the infrasound fingerprint spectrum-time characteristics emitted by the infrasound fingerprint emitter through a sliding signal window, and a difference matrix is constructed, and the difference matrix The calculation formula is as follows: =X 声源 -X 接收 (3) In the above formula, X 声源 is the time-frequency two-dimensional matrix emitted at the sound source, X 接收 is the time-frequency two-dimensional matrix received by the infrasound fingerprint receiver.

[0062] Step S5024, calculate the normalized norm based on the difference matrix, and compare the normalized norm with the preset threshold.

[0063] Specifically, the Frobenius norm is calculated by the following formula: (4) In the above formula, is the difference matrix, denotes the total number of rows of the matrix, denotes the total number of columns of the matrix.

[0064] Step S5025, if the normalized norm is less than the preset threshold, the current drainage pipeline in the target diagnosis area is in a communication state with the target drainage pipeline.

[0065] Specifically, the Frobenius norm is divided by the total number of matrix elements to obtain the average difference. If the normalized norm is less than 0.1, it is considered that the frequency-time signal received by the infrasound wave fingerprint receiver is highly consistent with the frequency-time regularity of the infrasound wave fingerprint emitted by the infrasound wave fingerprint emitter, and it is considered that the actively emitted infrasound wave fingerprint is received. Otherwise, it is considered that the infrasound wave fingerprint is not received.

[0066] Further, if the normalized norm is greater than the preset threshold, the infrasound wave fingerprint signal received by the infrasound wave fingerprint receiver is an environmental background infrasound wave signal, not the coded infrasound wave signal sent by the infrasound wave fingerprint emitter, and the current drainage pipeline is not in communication with the target drainage pipeline.

[0067] Step S503, if the drainage pipeline is in a communication state, analyze the spatial variation characteristics of the infrasound wave fingerprint signal, and based on the spatial variation characteristics of the infrasound wave fingerprint signal, the time difference between the coded infrasound wave signal and the infrasound wave fingerprint signal, and the mixed connection point judgment is carried out, and the mixed connection of the drainage pipe network is obtained. The investigation result. For details, please refer to Figure 4 Step S403 of the embodiment shown in

[0068] The drainage pipe network mixed connection investigation method provided in this embodiment compares the time-frequency signal corresponding to the infrasound wave fingerprint signal with the time-frequency signal corresponding to the coded infrasound wave signal, constructs a difference matrix, and measures the size of the difference matrix through a normalized norm, thereby accurately judging whether the infrasound wave fingerprint signal and the coded infrasound wave signal are the same signal, and accurately grasping the communication state between the pipelines.

[0069] In this embodiment, a drainage pipe network mixed connection investigation method is provided, which can be used in the data background 103 of the drainage pipe network mixed connection investigation system described above, Figure 6 is a flow chart of a drainage pipe network mixed connection investigation method according to an embodiment of the present application, as Figure 6 shown, the flow includes the following steps: Step S601, obtaining the coded infrasound wave signal sent by the infrasound wave fingerprint emitter and the infrasound wave fingerprint signal sent by the infrasound wave fingerprint receiver. For details, please refer to Figure 5 Step S501 of the embodiment shown in

[0070] Step S602, comparing the coded infrasound wave signal and the infrasound wave fingerprint signal, and detecting the communication of the drainage pipeline based on the comparison result. For details, please refer to Figure 5 Step S502 of the embodiment shown in

[0071] Step S603, if the drainage pipeline is in a connected state, analyze the spatial variation characteristics of the infrasound fingerprint signal, and determine the misconnection point 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, to obtain the misconnection detection result of the drainage pipe network.

[0072] Specifically, the higher the sound intensity, the closer to the misconnection point, and the distance and the number of inspection wells are combined to review the sound intensity, to determine the pipeline misconnection point. The specific steps are as follows: first, collect the infrasound detection data of each infrasound sensor and the field pipeline relationship; then, according to the actual distance and the number of inspection wells, calculate the theoretical expected sound pressure level (sound intensity) of the monitoring point according to the pipeline attenuation model, and compare it with the measured value. If the actual sound intensity is significantly different from the expected value, it may be close to the misconnection point; combined with the pipeline topology, a sound intensity distribution map needs to be drawn to observe the position with the largest sound intensity gradient change, which may exist a leak, i.e. a misconnection point; combined with the possible sound intensity leak, i.e. the misconnection point and the receiving distance between the sound emitter and the receiver, the specific misconnection point can be located.

[0073] The above step S603 includes: Step S6031, determining the sound intensity measured value based on the infrasound fingerprint signal corresponding to the drainage pipe network in the connected state.

[0074] Specifically, the sound intensity in each inspection well is detected by the infrasound sensor arranged in the inspection well when detecting the sound wave signal, and the amplitude of the collected signal is converted into sound pressure by Fourier transform, and the sound pressure is taken as the sound intensity measured value.

[0075] Step S6032, obtaining the drainage pipe network topology, and determining the sound intensity theoretical value based on the drainage pipe network topology and the coded infrasound signal by using the pipeline attenuation model.

[0076] Specifically, according to the pipeline attenuation model, the theoretical expected sound pressure level (i.e. the sound intensity theoretical value) of the monitoring point is calculated.

[0077] Further, the expression of the pipeline attenuation model is as follows: (5) Wherein, is the propagation distance of the coded infrasound signal in the pipeline, is the initial sound pressure level of the infrasound fingerprint sound emitter, is the minimum sound pressure level that the sensor can receive (i.e. the sound intensity theoretical value), 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, which is determined by air absorption attenuation and pipe wall loss attenuation Composition, both of which can be calculated by the following formula: (6) (7) 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.

[0078] For example, in a 500mm diameter cement pipe, ≈3.2×10 -7 dB / m, which can be ignored; the pipe wall loss attenuation ≈0.00143 dB / m.

[0079] 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.

[0080] 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: (8) 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.

[0081] 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.

[0082] 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 significantly different from the theoretical value of the sound wave intensity, it is possible to be close to the mixed connection point, and then combined with the pipe network topology, a sound intensity distribution map is drawn, and the position with the largest sound intensity gradient change is observed, which may exist a leak, i.e. a mixed connection point.

[0083] For example, according to the sound wave intensity change monitored by the infrasound wave sensor distribution point upstream and downstream of the pipeline, through the first round of detection results, the problem pipeline is encrypted distribution point, such as Figure 7 As shown, 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, and if it is significantly lower than point C, it can be judged that it may be connected through point C, then there is a mixed connection point in the pipeline.

[0084] The drainage pipe network mixed connection troubleshooting method provided in this 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.

[0085] The specific steps of a drainage pipe network mixed connection troubleshooting method will be described below through a specific embodiment.

[0086] Embodiment 1: 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 500m, and the upstream and downstream flow of the sewage pipeline 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 the inspection well in the area are as shown in Figure 8 The specific steps of the drainage pipe network mixed connection troubleshooting method based on active soundprint conduction include: Step 1: Collect and analyze the general survey data of the pipe network: 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. The connection relationship of rainwater and sewage pipe network and the corresponding service area are sorted out, and the drainage pipe network trend and the intersection of main and branch pipes are sorted out, such as Figure 9 As shown, the pipe diameter of the rainwater and sewage pipeline is 500mm.

[0087] Step 2: Lay sound emitting device and receiving sensor: For the inspection well in the target area, the loudspeaker unit of the sound emitting device is laid in the upstream inspection well W1 of the sewage pipeline, and the downstream pipe opening is laid by means of adjusting flange. The propagation distance of sound wave in the pipeline is calculated :

[0088] Among them, is the initial sound pressure level of the sound emitter, which is 100dB in this embodiment; is the minimum sound pressure level that the sensor can receive, which is 10dB in this embodiment; N is the number of inspection wells passed within the distance; T is the transmission loss (dB) of a single inspection well, which is 3.2dB in this embodiment, is the attenuation coefficient, which is composed of air absorption attenuation and pipe wall loss attenuation which can be calculated ≈3.2x10 -7 dB / m, which can be ignored; in a 500 mm diameter cement pipeline, the pipe wall loss attenuation ≈0.00143 dB / m.

[0089] The effective propagation distance of the infrasound fingerprint is about 980 m by iterative calculation, and the farthest length of the sewage pipeline from the infrasound fingerprint emitting point in the area is about 500 m, and the farthest distance of the rainwater pipeline is about 750 m, indicating that the infrasound fingerprint in the area can be effectively detected, and the area is divided into a diagnostic area. The infrasound sensor capable of transmitting data online is laid out in other inspection wells in the area through a fixing device.

[0090] Step three: feature voiceprint compilation and sending: Compile the infrasound fingerprint based on the time-varying frequency, and continuously send it into the pipeline through the loudspeaker unit of the sound emitting device, so as to distinguish the interference of the environmental background noise. The infrasound fingerprint composite signal with changing frequency is as shown in Figure 10 .

[0091] Step 4: detection of feature voiceprint and judgment of mixed error junction: Taking inspection well W1 as the starting point, along its emitting direction, the infrasound signals at the pipeline openings in the surrounding pipeline inspection wells are collected by the pre-laid infrasound sensors and mobile sensors, 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. Synchronous extrusion wavelet transform is carried out, 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 signal modulated by the generator, and the detection of the characteristic infrasound is judged.

[0092] It is found through detection that the downstream sewage pipelines W2-4 can all detect the infrasound fingerprint signal, and the signal sound pressure level gradually weakens. The rainwater pipelines Y1-6 and Y9 also detect the infrasound fingerprint, among which Y4 has the strongest signal intensity, which gradually weakens upstream and downstream, and is slightly lower than the signal intensity of W3. In addition, the nearby sewage pipelines W5-6 also detect weak infrasound fingerprints. This means that there is indeed a connection between the rainwater and sewage pipelines in the area, and the signal intensity can be used to judge that W3 is connected to Y4, and extends to Y5 as the downstream, and Y6 is connected to W5 and W7, and Y4 and Y7, Y8 are not connected, indicating that the actual situation does not match the design data. Further verification of the above results by periscope from the inside of the inspection well.

[0093] 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 transmission and small environmental background noise, and the device has mature industrial production process and low cost. As a non-material state fingerprint information, it can be actively transmitted, high-frequency received and accurately interpreted, so as to realize low cost, high efficiency and non-destructive investigation of misconnection of drainage pipe network.

[0094] In the present embodiment, a drainage pipe network misconnection 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 implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware or a combination of software and hardware is also possible and contemplated.

[0095] The present embodiment provides a drainage pipe network misconnection investigation device, which is applied to the data background of the above drainage pipe network misconnection investigation system based on active voiceprint conduction, as shown in Figure 11 The device comprises: The acquisition module 1101 is configured to acquire the encoded infrasound wave signal sent by the infrasound wave fingerprint sounder and the infrasound wave fingerprint signal sent by the infrasound wave fingerprint receiver. The communication detection module 1102 is configured to compare the encoded infrasound wave signal and the infrasound wave fingerprint signal, and perform drainage pipe communication detection based on the comparison result. The misconnection point determination module 1103 is configured to, if the drainage pipe is in a communication state, analyze the spatial variation characteristics of the infrasound wave fingerprint signal, and determine the misconnection 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 misconnection investigation result.

[0096] In some optional embodiments, the communication detection module 1102 comprises: The conversion unit is configured to respectively convert the encoded infrasound wave signal and the infrasound wave fingerprint signal into a sound source time-frequency signal and a receiving time-frequency signal. The normalization processing unit is configured to respectively normalize 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. The construction unit is configured to compare the normalized sound source time-frequency signal and the normalized receiving time-frequency signal to construct a difference matrix. The comparison unit is configured to calculate a normalized norm based on the difference matrix, and compare the normalized norm with a preset threshold. The judgment unit is configured to, if the normalized norm is less than the preset threshold, determine that the current drainage pipe in the target diagnosis area and the target drainage pipe are in a communication state.

[0097] In some optional embodiments, the error connection determination module 1103 comprises: a first determination unit configured to determine a sound wave intensity measured value based on the infrasound wave fingerprint signal corresponding to the sewer network in the connected state; a second determination unit configured to obtain the sewer network topology, determine a sound wave intensity theoretical value based on the sewer network topology and the coded infrasound wave signal, and utilize a pipe attenuation model; a calculation unit configured to obtain a sound wave transmission speed, 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; a comparison unit configured to compare the sound wave intensity measured value and the sound wave intensity theoretical value, and determine a sewer network error connection investigation result based on a comparison result and the receiving distance.

[0098] Further function descriptions of the above-mentioned various modules and units are the same as those of the above-mentioned corresponding embodiments, and will not be described here again.

[0099] The sewer network error connection investigation device in the embodiment is presented in the form of functional units. Here, the units refer to ASIC (Application Specific Integrated Circuit, special-purpose integrated circuit) circuits, processors and memories executing one or more software or fixed programs, and / or other devices that can provide the above-mentioned functions.

[0100] The embodiment of the present application also provides a computer device having the above-mentioned Figure 11 sewer network error connection investigation device.

[0101] 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 shown in Figure 12 , the computer device comprises one or more processors 10, a memory 20, and an interface for connecting various components, including a high-speed interface and a low-speed interface. Various components are communicatively connected to each other by using different buses, and can be installed on a common mainboard or in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in the memory or graphics information of 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 together with multiple memories if necessary. Similarly, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 12The processor 10 is taken as an example.

[0102] 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.

[0103] The memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0104] The memory 20 can include a program storage area and a data storage area. The program storage area can store an operating system and application programs required by at least one function. The data storage area can store data created according to the use of the computer device, and the like. In addition, the memory 20 can include a high-speed random access memory, and can further 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 disposed remotely 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.

[0105] The memory 20 can include a volatile memory, such as a random access memory, and can also include a non-volatile memory, such as a flash memory, a hard disk, or a solid state disk. The memory 20 can further include a combination of the above-mentioned kinds of memories.

[0106] The computer device further 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 through a bus or other means, Figure 12 The connection through the bus is taken as an example.

[0107] The input device 30 can receive input digital or character information, and generate key signal inputs related to the user settings and function control 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, and the like. The output device 40 can include a display device, an auxiliary lighting device (such as an LED), a tactile feedback device (such as a vibration motor), and the like. 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 optional embodiments, the display device can be a touch screen.

[0108] The embodiments of the present application further provide a computer readable storage medium, and the 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 to a local storage medium through network, 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 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 memories. It can be understood that the computer, the processor, the microprocessor controller, or the programmable hardware includes 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 embodiments is implemented.

[0109] Part of the present application can be applied as a computer program product, for example, computer program instructions, when executed by a computer, 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 file, executable file, installation package file, etc. Correspondingly, 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.

[0110] Although the embodiments of the present application are described in conjunction with the accompanying 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 drainage network mixed and wrong connection troubleshooting system, characterized by: include: An infrasonic fingerprint sounder, an infrasonic fingerprint receiver, and a data backend are wirelessly connected in sequence; the infrasonic fingerprint sounder is arranged at the pipe mouth of the target drainage pipe, and the infrasonic fingerprint receiver is arranged at the drainage pipe mouth within the target diagnosis area; The infrasonic fingerprint sounder is used to encode the infrasonic fingerprint to obtain an encoded infrasonic signal, send the encoded infrasonic signal into the target drainage pipe, and send the encoded infrasonic signal to the data background; The infrasonic fingerprint receiver is used to collect the infrasonic fingerprint signal at the drainage pipe outlet within the target diagnosis area and send the infrasonic fingerprint signal to the data backend; wherein the target diagnosis area is an area determined based on the transmission direction of the encoded infrasonic signal and the propagation distance of the encoded infrasonic signal within the target drainage pipe; The data background is used to perform pipeline connectivity detection and mixed-up and wrong-connection determination based on the encoded infrasonic signal and the infrasonic fingerprint signal, and obtain a drainage network mixed-up and wrong-connection investigation result.

2. The system according to claim 1, wherein: The infrasonic fingerprint sounder includes: a signal source and a speaker, wherein the signal source and the speaker are connected via an extension line; the signal source includes a direct digital frequency synthesizer chip, a microcontroller, a filter circuit and a power amplifier; The microcontroller is used to obtain characteristic signal parameters and send a control signal to the direct digital frequency synthesizer chip based on the characteristic signal parameters; The direct digital frequency synthesizer chip is configured to output a pulse analog signal having spectral characteristics and time domain information based on the control signal, and to encode an infrasound fingerprint based on the pulse analog signal having spectral characteristics and time domain information to obtain an infrasound analog signal; The filtering circuit is used to filter and remove high-frequency signals from the infrasound wave simulation signal; The power amplifier is used to power-amplify the infrasound analog signal after filtering to remove the high-frequency signal, drive the speaker based on the power-amplified infrasound analog signal to generate the encoded infrasound signal, and send the encoded infrasound signal to the data backend; The speaker is used to send the coded infrasonic signal into the target drainage pipe.

3. The system according to claim 1, wherein: The infrasonic fingerprint receiver includes an infrasonic sensor, a preamplifier, a bandpass filter module, an analog-to-digital conversion module, and a digital signal processing module; The infrasonic wave sensor is used to collect the infrasonic wave fingerprint signal of the drainage pipe outlet in the target diagnosis area, and process the infrasonic wave fingerprint signal through the preamplifier, the bandpass filter module, the analog-to-digital conversion module and the digital signal processing module in sequence, and send the processed infrasonic wave fingerprint signal to the data background.

4. A method for checking mixed and wrong connections in a drainage network, characterized in that: Applied to the data background of the drainage network mixed and wrong connection troubleshooting system according to any one of claims 1 to 3, the method comprises: Obtaining the coded infrasonic wave signal sent by the infrasonic wave fingerprint emitter and the infrasonic wave fingerprint signal sent by the infrasonic wave fingerprint receiver; comparing the coded infrasonic wave signal with the infrasonic wave fingerprint signal, and performing drainage pipe connectivity detection based on the comparison result; If the drainage pipe is in a connected state, the spatial variation characteristics of the infrasonic fingerprint signal are analyzed, and the mixed and wrong connection points are determined based on the spatial variation characteristics of the infrasonic fingerprint signal and the time difference between the encoded infrasonic signal and the infrasonic fingerprint signal to obtain the mixed and wrong connection investigation results of the drainage pipe network.

5. The method according to claim 4, characterized in that The step of comparing the coded infrasonic wave signal with the infrasonic wave fingerprint signal and performing drainage pipe connectivity detection based on the comparison result includes: Converting the coded infrasound signal and the infrasound fingerprint signal into a sound source time-frequency signal and a received time-frequency signal respectively; Normalizing the sound source time-frequency signal and the received time-frequency signal respectively to obtain a normalized sound source time-frequency signal and a normalized received time-frequency signal; Comparing the normalized sound source time-frequency signal with the normalized received time-frequency signal to construct a difference matrix; Calculating a normalized norm based on the difference matrix, and comparing the normalized norm with a preset threshold; If the normalized norm is less than the preset threshold, the current drainage pipe in the target diagnosis area is in a connected state with the target drainage pipe.

6. The method according to claim 4, characterized in that If the drainage pipe is in a connected state, the spatial variation characteristics of the infrasonic fingerprint signal are analyzed, and a mixed-up and wrong-connection determination is performed based on the spatial variation characteristics of the infrasonic fingerprint signal and the time difference between the coded infrasonic signal and the infrasonic fingerprint signal, to obtain a drainage pipe network mixed-up and wrong-connection investigation result, including: Determining a measured value of the sound wave intensity based on the infrasound fingerprint signal corresponding to the drainage pipe network in a connected state; Obtaining a drainage network topology, and determining a theoretical value of the sound wave intensity using a pipeline attenuation model based on the drainage network topology and the coded infrasound signal; Acquiring a sound wave transmission speed, and calculating a receiving distance based on a time difference between the encoded infrasound signal and the infrasound fingerprint signal and the sound wave transmission speed; The measured value of the sound wave intensity is compared with the theoretical value of the sound wave intensity, and the result of the drainage pipe network mixed and wrong connection investigation is determined based on the comparison result and the receiving distance.

7. A device for checking mixed and wrong connections in drainage pipe networks, characterized in that: Applicable to the data background of the drainage network mixed and wrong connection troubleshooting system according to any one of claims 1 to 3, the device comprising: An acquisition module, configured to acquire the coded infrasonic wave signal sent by the infrasonic wave fingerprint emitter and the infrasonic wave fingerprint signal sent by the infrasonic wave fingerprint receiver; a connectivity detection module, configured to compare the coded infrasonic wave signal with the infrasonic wave fingerprint signal, and perform drainage pipe connectivity detection based on the comparison result; The mixed-up and wrong-connection determination module is used to analyze the spatial variation characteristics of the infrasonic fingerprint signal if the drainage pipe is in a connected state, and perform mixed-up and wrong-connection determination based on the spatial variation characteristics of the infrasonic fingerprint signal and the time difference between the encoded infrasonic signal and the infrasonic fingerprint signal to obtain the mixed-up and wrong-connection investigation result of the drainage pipe network.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for checking mixed and wrong connections in a drainage network according to any one of claims 4 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for checking mixed and wrong connections in a drainage pipe network according to any one of claims 4 to 6.

10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the method for checking mixed and wrong connections in a drainage pipe network according to any one of claims 4 to 6.

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