Pipeline leakage point positioning method and system based on audio internet of things

Abstract

The present application relates to pipeline leak detection technical field, specifically to a kind of pipeline leak positioning method and system based on audio internet of things;Monitoring module sends the sound signal collected by pickup to server, server judges whether there is the monitoring module of first condition, if there is, server will the monitoring module that satisfies first condition is marked as analysis module, it is explained that the underground water pipe near analysis module possibly appears leak point;But in order to prevent misjudgment, still need to be further confirmed;Server judges whether analysis module satisfies second condition, if it satisfies second condition, prove that the noise that suddenly appears subsequently exists, so as to prove that the water pipe near indeed appears leak point;Server generates feedback information for expressing underground water pipe appears leakage, and feedback information is sent to monitoring terminal, so that management personnel discovers that pipeline appears leakage condition in time.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pipeline leak detection, in particular to a pipeline leak positioning method and system based on audio Internet of Things. BACKGROUND

[0002] With the acceleration of urbanization, the number of urban underground pipe networks (such as underground water pipes) is also increasing; a large number of complex underground water pipes need to be positioned in time when they leak to avoid water loss; the positioning of the leak of the underground pipeline is a difficult problem in the industry, and there is no universal solution.

[0003] The existing water pipe leak detection scheme is mostly performed by an operator holding a sound wave detector on the ground, but this leak detection method is rough and can only detect the position of the leak after the water pipe has a leak; currently, water pipes are not discovered until a long time after they leak (such as ground seepage); therefore, there is an urgent need for a technical solution that can discover underground pipeline leaks in time. SUMMARY

[0004] The main purpose of the present application is to provide a pipeline leak positioning method and system based on audio Internet of Things, which aims to solve the problem of the urgent need for a technical solution that can discover underground pipeline leaks in time.

[0005] The technical solution provided by the present application is as follows:

[0006] A pipeline leak positioning method based on audio Internet of Things is applied to a pipeline leak positioning system based on audio Internet of Things; the system includes a server, a monitoring module, and a monitoring terminal; the monitoring module and the monitoring terminal are both communicatively connected to the server; the number of monitoring modules is multiple, and each monitoring module is arranged at each position of an underground water pipe; the monitoring module includes a sound pickup device that contacts the underground water pipe to collect sound signals from the underground water pipe; the method includes:

[0007] The monitoring module acquires sound signals of the underground water pipe collected by the sound pickup device in real time and sends the sound signals to the server, wherein the cycle of the sound pickup device collecting sound signals is a first preset time length, and the unit of the first preset time length is millisecond;

[0008] The server acquires an average value of the intensity values of the sound signals collected by each sound pickup device within a second preset time length based on the current time, and uses the average value as the normal average intensity value corresponding to the sound pickup device, wherein the second preset time length is greater than the first preset time length;

[0009] The server acquires a first preset intensity value;

[0010] The server judges whether a first condition exists, wherein the first condition is that a latest sound signal collected by a pickup of the monitoring module has an intensity value greater than a corresponding normal average intensity value, and a difference value is greater than the first preset intensity value;

[0011] If the first condition exists, the server marks the monitoring module satisfying the first condition as an analysis module, and marks a latest sound signal collected by a pickup of the analysis module as a start signal;

[0012] The server acquires a preset number of sound signals adjacent to the start signal from the pickup of the analysis module and marks the sound signals as reference signals;

[0013] The server judges whether the analysis module satisfies a second condition, wherein the second condition is that a difference value between the intensity value of the start signal and the intensity value of any one of the reference signals collected by the pickup of the analysis module is less than a second preset intensity value;

[0014] If the second condition is satisfied, the server generates feedback information for expressing that a leakage of the underground water pipe occurs, and sends the feedback information to the monitoring terminal.

[0015] Preferably, the monitoring terminal comprises an input device; and the server acquires the first preset intensity value by:

[0016] The monitoring terminal acquires the first preset intensity value input by the management personnel through the input device;

[0017] The monitoring terminal sends the first preset intensity value to the server.

[0018] Preferably, each pickup is provided with a unique instrument number, and a corresponding identification member is arranged above the installation position of each pickup; the instrument number of the corresponding pickup is marked on the identification member; and if the second condition is satisfied, the server generates feedback information for expressing that a leakage of the underground water pipe occurs, and sends the feedback information to the monitoring terminal, comprising:

[0019] The server marks the analysis module satisfying the second condition as an abnormal module, and acquires the instrument number of the pickup corresponding to the abnormal module;

[0020] The server generates feedback information for expressing that a leakage of the underground water pipe occurs, wherein the feedback information comprises the instrument number of the pickup corresponding to the abnormal module;

[0021] The server sends the feedback information to the monitoring terminal.

[0022] Preferably, the server also stores a relative position map of each pickup; the server marks the analysis module to be analyzed that meets the second condition as an abnormal module, and obtains the instrument number of the pickup corresponding to the abnormal module, and then further comprises:

[0023] The server obtains the two pickups most adjacent to the pickup corresponding to the abnormal module based on the relative position map of each pickup, and marks them as the first pickup and the second pickup, respectively;

[0024] The server marks the collection time of the starting signal as the starting time;

[0025] The server obtains the sound signal collected by the first pickup at the starting time and marks it as the first comparison signal;

[0026] The server obtains the sound signal collected by the second pickup at the starting time and marks it as the second comparison signal;

[0027] The server determines the water leakage position point of the underground pipeline based on the sound intensity value of the starting signal, the sound intensity value of the first comparison signal, and the sound intensity value of the second comparison signal;

[0028] The server generates feedback information for expressing that the underground water pipe leaks, wherein the feedback information includes the water leakage position point of the underground pipeline;

[0029] The server sends the feedback information to the monitoring terminal.

[0030] Preferably, the server determines the water leakage position point of the underground pipeline based on the sound intensity value of the starting signal, the sound intensity value of the first comparison signal, and the sound intensity value of the second comparison signal, comprising:

[0031] When the sound intensity value of the first comparison signal is greater than or equal to the sound intensity value of the starting signal, and the sound intensity value of the starting signal is greater than the sound intensity value of the second comparison signal, the server determines the water leakage position point of the underground pipeline to be between the first pickup and the pickup corresponding to the analysis module;

[0032] When the sound intensity value of the second comparison signal is greater than or equal to the sound intensity value of the starting signal, and the sound intensity value of the starting signal is greater than the sound intensity value of the first comparison signal, the server determines the water leakage position point of the underground pipeline to be between the second pickup and the pickup corresponding to the analysis module;

[0033] when the sound intensity value of the first contrast signal and the sound intensity value of the second contrast signal are both less than the sound intensity value of the starting signal, and the sound intensity value of the second contrast signal is greater than the sound intensity value of the first contrast signal, the server determines the water leakage position point of the underground pipeline as being between the second sound pickup and the sound pickup corresponding to the module to be analyzed.

[0034] when the sound intensity value of the first contrast signal and the sound intensity value of the second contrast signal are both less than the sound intensity value of the starting signal, and the sound intensity value of the second contrast signal is greater than the sound intensity value of the first contrast signal, the server determines the water leakage position point of the underground pipeline as being between the second sound pickup and the sound pickup corresponding to the module to be analyzed.

[0035] Preferably, the system further comprises a handheld loudspeaker; the method further comprises:

[0036] The server determines two adjacent sound pickups that need to be detected and marks them as the third sound pickup and the fourth sound pickup;

[0037] The server determines the test point corresponding to the third sound pickup and the fourth sound pickup, wherein the middle point of the ground connecting segment between the identification element corresponding to the third sound pickup and the identification element corresponding to the fourth sound pickup is the test point corresponding to the third sound pickup and the fourth sound pickup;

[0038] The handheld loudspeaker emits test sound at the test point corresponding to the third sound pickup and the fourth sound pickup;

[0039] After the handheld loudspeaker emits test sound, the third sound pickup marks the collected sound signal as a third sound signal and sends it to the server;

[0040] After the handheld loudspeaker emits test sound, the fourth sound pickup marks the collected sound signal as a fourth sound signal and sends it to the server;

[0041] The server determines whether the working state of the third sound pickup and the fourth sound pickup is normal based on the third sound signal and the fourth sound signal.

[0042] Preferably, the server determines whether the working state of the third sound pickup and the fourth sound pickup is normal based on the third sound signal and the fourth sound signal, comprising:

[0043] The server determines whether the difference between the intensity value of the third sound signal and the intensity value of the fourth sound signal is less than a second preset intensity value;

[0044] If yes, the server determines that the working states of the third pickup and the fourth pickup are both normal.

[0045] Preferably, the server judges whether the difference between the intensity value of the third sound signal and the intensity value of the fourth sound signal is less than a second preset intensity value, and then further comprises:

[0046] If no, the server compares the intensity value of the third sound signal with the intensity value of the fourth sound signal.

[0047] When the intensity value of the third sound signal is greater than the intensity value of the fourth sound signal, the server determines that the working state of the third pickup is normal and the working state of the fourth pickup is abnormal.

[0048] When the intensity value of the third sound signal is less than the intensity value of the fourth sound signal, the server determines that the working state of the fourth pickup is normal and the working state of the third pickup is abnormal.

[0049] Preferably, the system further comprises a mobile terminal in communication connection with the server; if the second condition is met, the server generates feedback information for expressing that the underground water pipe has a leakage, and sends the feedback information to the monitoring terminal, and then further comprises:

[0050] The server sends the feedback information to the mobile terminal.

[0051] The application further provides a pipeline leakage point positioning system based on an audio Internet of Things, which applies a pipeline leakage point positioning method based on an audio Internet of Things; the system comprises a server, a monitoring module and a monitoring terminal; the monitoring module and the monitoring terminal are both in communication connection with the server; the number of the monitoring modules is plural, and each monitoring module is arranged at each position of an underground water pipe; the monitoring module comprises a pickup in contact with the underground water pipe for collecting a sound signal from the underground water pipe.

[0052] Through the above technical solution, the following beneficial effects can be achieved:

[0053] The pipeline leak location method based on audio IoT proposed in this invention can promptly detect pipeline leaks. In specific applications, the monitoring module sends the sound signal collected by the microphone to the server. The server determines whether a monitoring module meets the first condition. If so, the server marks the monitoring module that meets the first condition as a module to be analyzed, indicating that there may be a leak in the underground water pipe near the module to be analyzed. However, to prevent false positives, further confirmation is still required. The server determines whether the module to be analyzed meets the second condition. If the second condition is met, it proves that the sudden noise continued to occur, thus proving that there is indeed a leak in the nearby water pipe. The server then generates feedback information describing the underground water pipe leak and sends the feedback information to the monitoring terminal, enabling managers to promptly detect pipeline leaks. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0055] Figure 1 This is a flowchart illustrating the first embodiment of a pipeline leak location method based on the Internet of Things for audio. Detailed Implementation

[0056] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0057] This invention proposes a method and system for locating pipeline leaks based on the Internet of Things (IoT) for audio.

[0058] As attached Figure 1 As shown, in the first embodiment of the pipeline leak location method based on audio Internet of Things proposed in this invention, the method is applied to a pipeline leak location system based on audio Internet of Things; the system includes a server, a monitoring module, and a monitoring terminal (a computer terminal operated by management personnel); both the monitoring module and the monitoring terminal are communicatively connected to the server; there are multiple monitoring modules, and each monitoring module is respectively set at various locations in the underground water pipe (for example, one monitoring module is set at regular intervals in the underground water pipe); the monitoring module includes a microphone that contacts the underground water pipe to collect sound signals from the underground water pipe; this embodiment includes the following steps:

[0059] Step S110: The monitoring module acquires the sound signal of the underground water pipe collected in real time by the microphone and sends the sound signal to the server. The period for the microphone to collect the sound signal is a first preset duration (e.g., 10 milliseconds), and the unit of the first preset duration is milliseconds.

[0060] Step S120: The server obtains the average value of the intensity of the sound signal collected by each microphone within the past second preset duration (e.g., 10 seconds) based on the current time, and uses it as the normal average intensity value corresponding to the microphone, wherein the second preset duration is longer than the first preset duration.

[0061] Step S130: The server obtains a first preset intensity value.

[0062] Specifically, the unit of the first preset intensity value here is decibels, for example, 20 decibels.

[0063] Step S140: The server determines whether a monitoring module with a first condition exists, wherein the first condition is: the intensity value of the latest sound signal collected by the microphone of the monitoring module is greater than the corresponding normal average intensity value, and the difference is greater than the first preset intensity value.

[0064] Specifically, when a leak occurs in the sewer pipe, water will spray out from the leak, thus suddenly generating noise. The monitoring module adjacent to the leak will then detect a stronger sound signal (in this embodiment, the sudden increase in sound signal is greater than 20 decibels). In other words, when a monitoring module that meets the first condition appears, it means that a leak may have occurred near (in front of or behind) the monitoring module that meets the first condition, but further confirmation is still needed.

[0065] Step S150: If it exists, the server marks the monitoring module that meets the first condition as the module to be analyzed, and marks the latest sound signal collected by the microphone of the module to be analyzed as the start signal.

[0066] Step S160: The server acquires a preset number (e.g., 2000) of sound signals sent by the microphone of the module to be analyzed, adjacent to the starting signal, and marks them as reference signals.

[0067] Step S170: The server determines whether the module to be analyzed meets the second condition, wherein the second condition is: the difference between the intensity values ​​of the starting signal collected by the microphone of the module to be analyzed and any corresponding reference signal is less than the second preset intensity value (e.g., 5 dB).

[0068] Specifically, sometimes sudden environmental noise or air bubbles flowing through water pipes can cause the target module to detect a sudden increase in sound signal. To avoid misjudgment, it is necessary to determine whether the target module meets the second condition, that is, the intensity values ​​of a preset number of consecutive sound signals after the initial signal do not change much (the difference between the intensity values ​​of the initial signal collected by the microphone of the module to be analyzed and any corresponding reference signal is less than the second preset intensity value). This can prove that the sudden noise persists for a long time, that is, there is a leak nearby, which can avoid misjudgment caused by accidental external factors.

[0069] Step S180: If the second condition is met, the server generates feedback information describing a leak in the underground water pipe and sends the feedback information to the monitoring terminal.

[0070] The pipeline leak location method based on audio IoT proposed in this invention can promptly detect pipeline leaks. In specific applications, the monitoring module sends the sound signal collected by the microphone to the server. The server determines whether a monitoring module meets the first condition. If so, the server marks the monitoring module that meets the first condition as a module to be analyzed, indicating that there may be a leak in the underground water pipe near the module to be analyzed. However, to prevent false positives, further confirmation is still required. The server determines whether the module to be analyzed meets the second condition. If the second condition is met, it proves that the sudden noise continued to occur, thus proving that there is indeed a leak in the nearby water pipe. The server then generates feedback information describing the underground water pipe leak and sends the feedback information to the monitoring terminal, enabling managers to promptly detect pipeline leaks.

[0071] In a second embodiment of the pipe leak location method based on audio Internet of Things proposed in this invention, based on the first embodiment, the monitoring terminal includes an input device; step S130 includes the following steps:

[0072] Step S210: The monitoring terminal obtains the first preset intensity value input by the manager through the input device.

[0073] Step S220: The monitoring terminal sends the first preset intensity value to the server.

[0074] Specifically, this embodiment provides a specific scheme for obtaining the first preset intensity value.

[0075] In the third embodiment of the pipe leak location method based on audio Internet of Things proposed in this invention, based on the first embodiment, each microphone is assigned a unique instrument number, and a corresponding marker is placed on the ground directly above the installation position of each microphone; the marker is marked with the corresponding microphone instrument number; step S180 includes the following steps:

[0076] Step S310: The server marks the module to be analyzed that meets the second condition as an abnormal module and obtains the instrument number of the microphone corresponding to the abnormal module.

[0077] Step S320: The server generates feedback information to indicate that a leak has occurred in the underground water pipe, wherein the feedback information includes the device number of the microphone corresponding to the abnormal module.

[0078] Step S330: The server sends the feedback information to the monitoring terminal.

[0079] Specifically, in this embodiment, the instrument number of the microphone corresponding to the abnormal module is included in the feedback information, which enables managers to clearly know the location of the microphone of the abnormal module, thereby facilitating the identification of the specific location of the leak point in the underground pipeline.

[0080] In the fourth embodiment of the pipe leak location method based on audio Internet of Things proposed in this invention, based on the third embodiment, the server further stores a relative position map of each microphone; after step S310, the following steps are also included:

[0081] Step S410: Based on the relative position map of each microphone, the server obtains the two microphones that are closest to each other before and after the microphone corresponding to the abnormal module, and marks them as the first microphone and the second microphone respectively.

[0082] Step S420: The server marks the acquisition time of the start signal as the start time.

[0083] Step S430: The server acquires the sound signal collected by the first microphone at the starting time and marks it as the first comparison signal.

[0084] Step S440: The server acquires the sound signal collected by the second microphone at the starting time and marks it as the second comparison signal.

[0085] Step S450: The server determines the location of the leak in the underground pipe based on the sound intensity value of the starting signal, the sound intensity value of the first comparison signal, and the sound intensity value of the second comparison signal.

[0086] Step S460: The server generates feedback information describing a leak in the underground water pipe, wherein the feedback information includes the location of the leak in the underground pipe.

[0087] Step S470: The server sends the feedback information to the monitoring terminal.

[0088] Specifically, based on this solution, it is possible to determine whether the leak point of the underground pipeline is located between the first microphone and the microphone corresponding to the anomaly module, or between the second microphone and the microphone corresponding to the anomaly module.

[0089] In the fifth embodiment of the pipe leak location method based on audio Internet of Things proposed in this invention, based on the fourth embodiment, step S450 includes the following steps:

[0090] Step S510: When the sound intensity value of the first comparison signal is greater than or equal to the sound intensity value of the starting signal, and the sound intensity value of the starting signal is greater than the sound intensity value of the second comparison signal, the server determines the location of the leak in the underground pipe to be between the first microphone and the microphone corresponding to the module to be analyzed.

[0091] Specifically, when the sound intensity value of the first comparison signal is greater than or equal to the sound intensity value of the starting signal, and the sound intensity value of the starting signal is greater than the sound intensity value of the second comparison signal, it proves that the leak location of the underground pipeline is between the first microphone and the microphone corresponding to the module to be analyzed.

[0092] Step S520: When the sound intensity value of the second comparison signal is greater than or equal to the sound intensity value of the starting signal, and the sound intensity value of the starting signal is greater than the sound intensity value of the first comparison signal, the server determines the location of the leak in the underground pipe to be between the second microphone and the microphone corresponding to the module to be analyzed.

[0093] Specifically, when the sound intensity value of the second comparison signal is greater than or equal to the sound intensity value of the starting signal, and the sound intensity value of the starting signal is greater than the sound intensity value of the first comparison signal, it proves that the leak location of the underground pipeline is between the second microphone and the microphone corresponding to the module to be analyzed.

[0094] Step S530: When the sound intensity values ​​of the first comparison signal and the second comparison signal are both less than the sound intensity value of the starting signal, and the sound intensity value of the first comparison signal is greater than the sound intensity value of the second comparison signal, the server determines the location of the leak in the underground pipe to be between the first microphone and the microphone corresponding to the module to be analyzed.

[0095] Specifically, when the sound intensity values ​​of the first comparison signal and the second comparison signal are both less than the sound intensity value of the starting signal, and the sound intensity value of the first comparison signal is greater than the sound intensity value of the second comparison signal, it proves that the leak location of the lower pipe is between the first microphone and the microphone corresponding to the module to be analyzed, and is closer to the microphone corresponding to the module to be analyzed.

[0096] Step S540: When the sound intensity values ​​of the first comparison signal and the second comparison signal are both less than the sound intensity value of the starting signal, and the sound intensity value of the second comparison signal is greater than the sound intensity value of the first comparison signal, the server determines the location of the leak in the underground pipe to be between the second microphone and the microphone corresponding to the module to be analyzed.

[0097] Specifically, when the sound intensity values ​​of the first comparison signal and the second comparison signal are both less than the sound intensity value of the starting signal, and the sound intensity value of the second comparison signal is greater than the sound intensity value of the first comparison signal, it proves that the leak location of the lower pipe is between the second microphone and the microphone corresponding to the module to be analyzed, and is closer to the microphone corresponding to the module to be analyzed.

[0098] In the sixth embodiment of the pipe leak location method based on audio Internet of Things proposed in this invention, based on the fourth embodiment, the system further includes a handheld speaker; this embodiment also includes the following steps:

[0099] Step S610: The server identifies two adjacent microphones that need to be detected and marks them as the third microphone and the fourth microphone.

[0100] Step S620: The server determines the test points corresponding to the third microphone and the fourth microphone, wherein the midpoint of the ground line segment connecting the marker corresponding to the third microphone and the marker corresponding to the fourth microphone is the test point corresponding to the third microphone and the fourth microphone.

[0101] Step S630: The handheld speaker emits a test sound at the test points corresponding to the third and fourth microphones.

[0102] Step S640: After the handheld speaker emits a test sound, the third microphone marks the collected sound signal as a third sound signal and sends it to the server.

[0103] Step S650: After the handheld speaker emits a test sound, the fourth microphone marks the collected sound signal as the fourth sound signal and sends it to the server.

[0104] Step S660: The server determines whether the working status of the third microphone and the fourth microphone is normal based on the third sound signal and the fourth sound signal.

[0105] Specifically, this embodiment allows for the sequential testing of each microphone to promptly identify microphones that are malfunctioning or not operating properly.

[0106] In the seventh embodiment of the pipe leak location method based on audio Internet of Things proposed in this invention, based on the sixth embodiment, step S660 includes the following steps:

[0107] Step S710: The server determines whether the difference between the intensity value of the third sound signal and the intensity value of the fourth sound signal is less than a second preset intensity value.

[0108] If so, proceed to step S720: The server determines that the third microphone and the fourth microphone are both in normal working condition.

[0109] Specifically, if the difference between the intensity values ​​of the third and fourth sound signals is less than the second preset intensity value, it indicates that the difference between the intensity values ​​of the third and fourth sound signals is not significant. This means that both the third and fourth microphones can normally collect the test sound emitted by the handheld microphone, thus confirming that both the third and fourth microphones are working normally.

[0110] In the eighth embodiment of the pipe leak location method based on audio Internet of Things proposed in this invention, based on the seventh embodiment, after step S710, the following steps are further included:

[0111] If not, proceed to step S810: The server compares the intensity value of the third sound signal with the intensity value of the fourth sound signal.

[0112] Step S820: When the intensity value of the third sound signal is greater than the intensity value of the fourth sound signal, the server determines that the third microphone is working normally and the fourth microphone is working abnormally.

[0113] Specifically, if the intensity of the third sound signal is greater than that of the fourth sound signal, it indicates that the third microphone is working normally, and if the intensity of the fourth microphone is abnormal, it indicates that the third microphone is working normally.

[0114] Step S830: When the intensity value of the third sound signal is less than the intensity value of the fourth sound signal, the server determines that the fourth microphone is working normally and the third microphone is working abnormally.

[0115] Specifically, when the intensity of the third sound signal is less than that of the fourth sound signal, it indicates that the third microphone is malfunctioning; when the intensity of the fourth microphone is less than that of the fourth sound signal, it indicates that the third microphone is malfunctioning.

[0116] In the ninth embodiment of the pipe leak location method based on audio Internet of Things proposed in this invention, based on the first embodiment, the system further includes a mobile terminal (carried by the administrator) that is communicatively connected to the server; step S180, followed by the following steps:

[0117] Step S910: The server sends the feedback information to the mobile terminal.

[0118] This invention also proposes a pipeline leak location system based on audio Internet of Things (IoT), applying a pipeline leak location method based on audio IoT; the system includes a server, a monitoring module, and a monitoring terminal; both the monitoring module and the monitoring terminal are communicatively connected to the server; there are multiple monitoring modules, and each monitoring module is respectively installed at various locations in the underground water pipe; each monitoring module includes a microphone that contacts the underground water pipe to collect sound signals from the underground water pipe.

[0119] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0120] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A method for locating pipe leaks based on the Internet of Things (IoT) for audio, characterized in that, A pipeline leak location system for audio Internet of Things (IoT) applications; the system includes a server, a monitoring module, and a monitoring terminal; both the monitoring module and the monitoring terminal are communicatively connected to the server; there are multiple monitoring modules, and each monitoring module is installed at a different location in the underground water pipe; The monitoring module includes a microphone that contacts an underground water pipe to collect sound signals from the underground water pipe; the method includes: The monitoring module acquires the sound signal of the underground water pipe collected in real time by the microphone and sends the sound signal to the server. The period for the microphone to collect the sound signal is a first preset duration, and the unit of the first preset duration is milliseconds. The server obtains the average value of the intensity of the sound signal collected by each microphone within the past second preset time period based on the current time, and uses it as the normal average intensity value of the microphone, wherein the second preset time period is longer than the first preset time period. The server acquires a first preset strength value; The server determines whether a monitoring module with a first condition exists, wherein the first condition is: the intensity value of the latest sound signal collected by the microphone of the monitoring module is greater than the corresponding normal average intensity value, and the difference is greater than the first preset intensity value. If present, the server will mark the monitoring module that meets the first condition as the module to be analyzed, and mark the latest sound signal collected by the microphone of the module to be analyzed as the starting signal; The server acquires a preset number of sound signals sent by the microphone of the module to be analyzed, which are adjacent to the starting signal, and marks them as reference signals; The server determines whether the module to be analyzed meets the second condition, wherein the second condition is: the difference between the intensity values ​​of the starting signal collected by the microphone of the module to be analyzed and any corresponding reference signal is less than the second preset intensity value. If the second condition is met, the server generates feedback information describing a leak in the underground water pipe and sends the feedback information to the monitoring terminal. Each microphone is assigned a unique device number, and a corresponding marker is placed on the ground directly above the installation location of each microphone; the marker is marked with the corresponding microphone's device number; if the second condition is met, the server generates feedback information indicating a leak in the underground water pipe and sends the feedback information to the monitoring terminal, including: The server marks the modules to be analyzed that meet the second condition as abnormal modules and obtains the device number of the microphone corresponding to the abnormal module. The server generates feedback information describing a leak in the underground water pipe, wherein the feedback information includes the device number of the microphone corresponding to the abnormal module. The server sends the feedback information to the monitoring terminal; The server also stores a relative position map of each microphone; the server marks the modules to be analyzed that meet the second condition as abnormal modules, and obtains the instrument number of the microphone corresponding to the abnormal module, and then includes: Based on the relative position map of each microphone, the server obtains the two most adjacent microphones before and after the microphone corresponding to the abnormal module, and marks them as the first microphone and the second microphone, respectively. The server marks the acquisition time of the start signal as the start time; The server acquires the sound signal collected by the first microphone at the start time and marks it as the first comparison signal; The server acquires the sound signal collected by the second microphone at the starting moment and marks it as the second comparison signal; The server determines the location of the leak in the underground pipeline based on the sound intensity value of the starting signal, the sound intensity value of the first comparison signal, and the sound intensity value of the second comparison signal. The server generates feedback information describing a leak in the underground water pipe, wherein the feedback information includes the location of the leak in the underground pipe. The server sends the feedback information to the monitoring terminal; The system also includes a handheld speaker; the method further includes: The server identifies two adjacent microphones that need to be detected and marks them as the third microphone and the fourth microphone. The server determines the test points corresponding to the third microphone and the fourth microphone, wherein the midpoint of the ground line segment connecting the marker corresponding to the third microphone and the marker corresponding to the fourth microphone is the test point corresponding to the third microphone and the fourth microphone. The handheld speaker emits test sounds at the test points corresponding to the third and fourth microphones; When the handheld speaker emits a test sound, the third microphone marks the collected sound signal as a third sound signal and sends it to the server; When the handheld speaker emits a test sound, the fourth microphone marks the collected sound signal as the fourth sound signal and sends it to the server; The server determines whether the third and fourth microphones are functioning normally based on the third and fourth sound signals.

2. The pipe leak location method based on audio IoT according to claim 1, characterized in that, The monitoring terminal includes an input device; The server obtains the first preset intensity value, including: The monitoring terminal acquires a first preset intensity value input by the administrator through the input device; The monitoring terminal sends the first preset intensity value to the server.

3. The pipe leak location method based on audio IoT according to claim 1, characterized in that, The server determines the location of the leak in the underground pipeline based on the sound intensity value of the initial signal, the sound intensity value of the first comparison signal, and the sound intensity value of the second comparison signal, including: When the sound intensity value of the first comparison signal is greater than or equal to the sound intensity value of the starting signal, and the sound intensity value of the starting signal is greater than the sound intensity value of the second comparison signal, the server determines the location of the leak in the underground pipe to be between the first microphone and the microphone corresponding to the module to be analyzed. When the sound intensity value of the second comparison signal is greater than or equal to the sound intensity value of the starting signal, and the sound intensity value of the starting signal is greater than the sound intensity value of the first comparison signal, the server determines the location of the leak in the underground pipe to be between the second microphone and the microphone corresponding to the module to be analyzed. When the sound intensity values ​​of the first comparison signal and the second comparison signal are both less than the sound intensity value of the starting signal, and the sound intensity value of the first comparison signal is greater than the sound intensity value of the second comparison signal, the server determines the location of the leak in the underground pipe to be between the first microphone and the microphone corresponding to the module to be analyzed. When the sound intensity values ​​of the first comparison signal and the second comparison signal are both less than the sound intensity value of the starting signal, and the sound intensity value of the second comparison signal is greater than the sound intensity value of the first comparison signal, the server determines the location of the leak in the underground pipe to be between the second microphone and the microphone corresponding to the module to be analyzed.

4. The pipe leak location method based on audio IoT according to claim 1, characterized in that, The server determines whether the third and fourth microphones are functioning correctly based on the third and fourth audio signals, including: The server determines whether the difference between the intensity value of the third sound signal and the intensity value of the fourth sound signal is less than a second preset intensity value; If so, the server determines that both the third and fourth microphones are functioning normally.

5. The pipe leak location method based on audio IoT according to claim 4, characterized in that, The server determines whether the difference between the intensity value of the third sound signal and the intensity value of the fourth sound signal is less than a second preset intensity value, and then further includes: If not, the server compares the intensity value of the third audio signal with the intensity value of the fourth audio signal; When the intensity value of the third sound signal is greater than the intensity value of the fourth sound signal, the server determines that the third microphone is working normally and the fourth microphone is working abnormally. When the intensity value of the third sound signal is less than the intensity value of the fourth sound signal, the server determines that the fourth microphone is working normally and the third microphone is working abnormally.

6. The pipe leak location method based on audio IoT according to claim 1, characterized in that, The system also includes a mobile terminal communicatively connected to the server; if the second condition is met, the server generates feedback information describing a leak in the underground water pipe and sends the feedback information to the monitoring terminal, and then further includes: The server sends the feedback information to the mobile terminal.

7. A pipe leak location system based on audio Internet of Things, characterized in that, The method for locating pipe leaks based on the Internet of Things (IoT) as described in any one of claims 1-6 is described below. The system includes a server, a monitoring module, and a monitoring terminal. The monitoring module and the monitoring terminal are both communicatively connected to the server. There are multiple monitoring modules, and each monitoring module is respectively located at a different point in the underground water pipe. The monitoring module includes a microphone that contacts the underground water pipe to collect sound signals from the underground water pipe.

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