Pipeline leakage point positioning method and system based on audio Internet of Things

Abstract

The invention relates to the technical field of pipeline leakage point detection, in particular to a pipeline leakage point positioning method and system based on the audio internet of things. The monitoring modules send sound signals collected by the sound pick-up to the server, the server judges whether the monitoring modules meeting the first condition exist or not, and if yes, the server marks the monitoring modules meeting the first condition as to-be-analyzed modules, and it is indicated that leakage points possibly appear on the underground water pipe near the to-be-analyzed modules; however, in order to prevent misjudgment, further confirmation is still needed; the server judges whether the to-be-analyzed module meets a second condition or not, if the to-be-analyzed module meets the second condition, it is proved that the suddenly occurring noise exists all the time subsequently, and therefore it is proved that a leakage point really appears on the nearby water pipe; and the server generates feedback information for expressing the leakage of the underground water pipe and sends the feedback information to the monitoring terminal, so that a manager can timely find the leakage condition of the pipe.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline leakage detection, and in particular to a pipeline leakage locating method and system based on audio Internet of Things. Background Art

[0002] With the acceleration of urbanization, the number of urban underground pipelines (such as underground water pipes) is also increasing. A large number of underground water pipes with complex patterns need to locate the leaks in time to avoid water leakage losses. Currently, locating the leaks of buried pipes is a difficult problem in the industry and there is no universal solution.

[0003] The existing scheme for detecting water pipe leakage points mostly requires operators to use handheld acoustic wave detectors to detect on the ground. However, this method of detecting leakage points is relatively crude and can only detect the location of the leakage point after the leakage point of the water pipe is determined first. At present, the water pipe is not discovered until a long time after the leakage occurs (for example, water seepage occurs on the ground). Therefore, there is an urgent need for a technical solution that can detect leakage in underground pipelines in a timely manner. Summary of the invention

[0004] The main purpose of the present invention is to provide a pipeline leak location method and system based on audio Internet of Things, aiming to solve the problem of the urgent need for a technical solution that can promptly detect leaks in underground pipelines.

[0005] The technical solution proposed by the present invention is:

[0006] A pipeline leak location method based on audio Internet of Things, applied to a pipeline leak location system of 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 communicatively connected to the server; there are multiple monitoring modules, and each monitoring module is respectively arranged at various locations of an underground water pipe; the monitoring module comprises a pickup in contact with the underground water pipe for collecting sound signals from the underground water pipe; the method comprises:

[0007] The monitoring module obtains the sound signal of the underground water pipe collected by the microphone in real time, and sends the sound signal to the server, wherein the period of collecting the sound signal by the microphone is a first preset time length, and the unit of the first preset time length is milliseconds;

[0008] The server obtains an average value of the intensity values ​​of the sound signals collected by each microphone within a second preset time period in the past based on the current moment, and uses the average value as the normal average intensity value corresponding to the microphone, wherein the second preset time period is greater than the first preset time period;

[0009] The server obtains a first preset strength value;

[0010] The server determines whether there is a monitoring module with a first condition, 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;

[0011] If so, the server marks the monitoring module that meets the first condition as a module to be analyzed, and marks the latest sound signal collected by the microphone of the module to be analyzed as a starting signal;

[0012] The server obtains a preset number of sound signals that are adjacent to the start signal and sent by the microphone of the module to be analyzed, and marks them as reference signals;

[0013] The server determines whether the module to be analyzed meets a second condition, wherein the second condition is that 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 a second preset intensity value;

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

[0015] Preferably, the monitoring terminal includes an input device; the server obtains the first preset intensity value, including:

[0016] The monitoring terminal obtains a first preset intensity value input by a manager through an input device;

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

[0018] Preferably, each microphone is provided with a unique device number, and a corresponding identification piece is provided on the ground directly above the installation position of each microphone; the identification piece is marked with the device number of the corresponding microphone; if the second condition is met, the server generates feedback information for indicating that an underground water pipe has leaked, and sends the feedback information to the monitoring terminal, including:

[0019] The server marks the 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;

[0020] The server generates feedback information for indicating that an underground water pipe has leaked, wherein the feedback information includes the device 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 diagram of each pickup; the server marks the 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 includes:

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

[0024] The server marks the acquisition time of the start signal as the start time;

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

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

[0027] The server determines the water leakage location 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 indicating that an underground water pipe has leaked, wherein the feedback information includes a leaking location of the underground pipe;

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

[0030] Preferably, the server determines the water leakage location 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, including:

[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 leakage location of the underground pipeline as between the first pickup and the pickup corresponding to the module to be analyzed;

[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 leakage location of the underground pipeline as between the second pickup and the pickup corresponding to the module to be analyzed;

[0033] When the sound intensity value of the first comparison signal and the sound intensity value of the second comparison signal are both smaller than the sound intensity value of the starting signal, and the sound intensity value of the first comparison signal is larger than the sound intensity value of the second comparison signal, the server determines the leakage point of the underground pipeline as between the first pickup and the pickup corresponding to the module to be analyzed;

[0034] When the sound intensity value of the first comparison signal and the sound intensity value of the second comparison signal are both smaller than the sound intensity value of the starting signal, and the sound intensity value of the second comparison signal is larger than the sound intensity value of the first comparison signal, the server determines the leakage location point of the underground pipeline as between the second pickup and the pickup corresponding to the module to be analyzed.

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

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

[0037] The server determines the test points corresponding to the third microphone and the fourth microphone, wherein the middle point of the ground connecting line segment of the identification piece corresponding to the third microphone and the identification piece corresponding to the fourth microphone is the test point corresponding to the third microphone and the fourth microphone;

[0038] The handheld speaker emits a test sound at the test points corresponding to the third pickup and the fourth pickup;

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

[0040] When the handheld speaker emits a 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 states of the third microphone and the fourth microphone are normal based on the third sound signal and the fourth sound signal.

[0042] Preferably, the server determines whether the working states of the third microphone and the fourth microphone are normal based on the third sound signal and the fourth sound signal, comprising:

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

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

[0045] Preferably, 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:

[0046] If not, the server compares the strength value of the third sound signal with the strength value of the fourth sound signal;

[0047] When the strength value of the third sound signal is greater than the strength value of the fourth sound signal, the server determines that the working state of the third microphone is normal and the working state of the fourth microphone is abnormal;

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

[0049] Preferably, the system further comprises a mobile terminal in communication with the server; if the second condition is met, the server generates feedback information for indicating that the underground water pipe has leaked, 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 present invention also proposes a pipeline leak locating system based on audio Internet of Things, which applies a pipeline leak locating method 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; there are multiple monitoring modules, and each monitoring module is respectively arranged at various locations of the underground water pipe; the monitoring module includes a pickup that contacts the underground water pipe for collecting sound signals 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 Internet of Things proposed in the present invention can timely discover pipeline leaks; in specific application, the monitoring module sends the sound signal collected by the microphone to the server, and the server determines whether there is a monitoring module that 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 an underground water pipe near the module to be analyzed may have a leak; but in order to prevent misjudgment, 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 has continued to exist, thereby proving that a leak has indeed occurred in the nearby water pipe; the server generates feedback information for indicating that an underground water pipe has leaked, and sends the feedback information to the monitoring terminal, so that the management personnel can timely discover the pipeline leak. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0055] Figure 1 This is a flow chart of the first embodiment of a pipeline leak locating method based on audio Internet of Things proposed by the present invention. DETAILED DESCRIPTION

[0056] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0057] The present invention provides a pipeline leakage location method and system based on audio Internet of Things.

[0058] As attached Figure 1 As shown, in a first embodiment of a pipeline leakage locating method based on audio Internet of Things proposed by the present invention, the method is applied to a pipeline leakage locating system of audio Internet of Things; the system includes a server, a monitoring module and a monitoring terminal (a computer terminal operated by a manager); the monitoring module and the monitoring terminal are both communicatively connected to the server; the number of the monitoring modules is multiple, and each of the monitoring modules is respectively arranged at various locations of the underground water pipe (for example, one monitoring module is arranged at a certain distance in the underground water pipe); the monitoring module includes a pickup in contact with the underground water pipe for collecting sound signals from the underground water pipe; this embodiment includes the following steps:

[0059] Step S110: The monitoring module obtains the sound signal of the underground water pipe collected by the microphone in real time, and sends the sound signal to the server, wherein the period of the microphone collecting the sound signal is a first preset time length (for example, 10 milliseconds), and the unit of the first preset time length is milliseconds.

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

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

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

[0063] Step S140: The server determines whether there is a monitoring module with a first condition, wherein the first condition is that 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 appears in the underground water pipe, water will spray out from the leak, thereby suddenly generating noise, and the monitoring module adjacent to the leak will immediately detect a stronger sound signal (in this embodiment, the amplitude of the sudden increase in the sound signal is greater than 20 decibels); that is to say, when a monitoring module that meets the first condition appears, it means that a leak may have appeared near (in front or behind) the monitoring module that meets the first condition, but further confirmation is still needed.

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

[0066] Step S160: the server obtains a preset number (eg, 2000) of sound signals that are adjacent to the start signal and sent by the microphone of the module to be analyzed, and marks them as reference signals.

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

[0068] Specifically, sometimes the sudden appearance of environmental noise or bubbles flowing in the water pipe may also cause the target module to detect a sudden increase in the sound signal; in order 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 since the starting signal do not change much (the difference in 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). This can prove that the sudden noise exists for a long time afterwards, 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 indicating that a leakage has occurred in the underground water pipe, and sends the feedback information to the monitoring terminal.

[0070] The pipeline leak location method based on audio Internet of Things proposed in the present invention can timely discover pipeline leaks; in specific application, the monitoring module sends the sound signal collected by the microphone to the server, and the server determines whether there is a monitoring module that 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 an underground water pipe near the module to be analyzed may have a leak; but in order to prevent misjudgment, 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 has continued to exist, thereby proving that a leak has indeed occurred in the nearby water pipe; the server generates feedback information for indicating that an underground water pipe has leaked, and sends the feedback information to the monitoring terminal, so that the management personnel can timely discover the pipeline leak.

[0071] In a second embodiment of a pipeline leak location method based on audio Internet of Things proposed by the present 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 a first preset intensity value input by a manager through an input device.

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

[0074] Specifically, this embodiment provides a specific solution for how to obtain the first preset intensity value.

[0075] In a third embodiment of a pipeline leak location method based on audio Internet of Things proposed by the present invention, based on the first embodiment, each pickup is correspondingly provided with a unique device number, and a corresponding identification piece is provided on the ground directly above the installation position of each pickup; the identification piece is marked with the device number of the corresponding pickup; 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 pickup corresponding to the abnormal module.

[0077] Step S320: the server generates feedback information for indicating that an underground water pipe has leaked, wherein the feedback information includes the device number of the pickup corresponding to the abnormal module.

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

[0079] Specifically, this embodiment includes the device number of the microphone corresponding to the abnormal module in the feedback information, so that the management personnel can clearly know the location of the microphone of the abnormal module, thereby facilitating knowing the specific location of the leakage point of the underground pipeline.

[0080] In a fourth embodiment of a pipeline leak location method based on audio Internet of Things proposed by the present invention, based on the third embodiment, the server further stores a relative position diagram of each pickup; step S310, and then further includes the following steps:

[0081] Step S410: The server obtains the two most adjacent pickups before and after the pickup corresponding to the abnormal module based on the relative position diagram of each pickup, and marks them as the first pickup and the second pickup respectively.

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

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

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

[0085] Step S450: The server determines the water leakage location 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.

[0086] Step S460: The server generates feedback information for indicating that an underground water pipe has leaked, wherein the feedback information includes the leaking location of the underground pipe.

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

[0088] Specifically, based on this solution, it can be determined whether the leakage point of the underground pipeline is between the first pickup and the pickup corresponding to the abnormal module, or between the second pickup and the pickup corresponding to the abnormal module.

[0089] In a fifth embodiment of a pipeline leak location method based on audio Internet of Things proposed by the present 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 leakage location point of the underground pipeline as between the first pickup and the pickup 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 leakage location of the underground pipeline is between the first pickup and the pickup 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 leakage location point of the underground pipeline as between the second pickup and the pickup 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 leakage location of the underground pipeline is between the second pickup and the pickup corresponding to the module to be analyzed.

[0094] Step S530: When the sound intensity value of the first comparison signal and the sound intensity value of the second comparison signal are both smaller 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 leakage location point of the underground pipeline as between the first pickup and the pickup corresponding to the module to be analyzed.

[0095] Specifically, when the sound intensity value of the first comparison signal and the sound intensity value of the second comparison signal are both smaller 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 leakage location of the lower pipeline is between the first pickup and the pickup corresponding to the module to be analyzed, and is closer to the pickup corresponding to the module to be analyzed.

[0096] Step S540: When the sound intensity value of the first comparison signal and the sound intensity value of the second comparison signal are both smaller than the sound intensity value of the starting signal, and the sound intensity value of the second comparison signal is larger than the sound intensity value of the first comparison signal, the server determines the leakage location point of the underground pipeline as between the second pickup and the pickup corresponding to the module to be analyzed.

[0097] Specifically, when the sound intensity value of the first comparison signal and the sound intensity value of the second comparison signal are both smaller 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 leakage location of the lower pipeline is between the second pickup and the pickup corresponding to the module to be analyzed, and is closer to the pickup corresponding to the module to be analyzed.

[0098] In a sixth embodiment of a pipeline leak location method based on audio Internet of Things proposed by the present 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 determines 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 middle point of the ground connecting segment of the identification piece corresponding to the third microphone and the identification piece 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 pickup and the fourth pickup.

[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 a fourth sound signal and sends it to the server.

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

[0105] Specifically, through this embodiment, each microphone can be tested in sequence, so as to timely find the microphone that fails and does not operate normally.

[0106] In a seventh embodiment of a pipeline leak location method based on audio Internet of Things proposed by the present invention, based on the sixth embodiment, step S660 includes the following steps:

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

[0108] If yes, step S720 is executed: the server determines that the working states of the third microphone and the fourth microphone are both normal.

[0109] Specifically, if the difference between the intensity value of the third sound signal and the intensity value of the fourth sound signal is less than the second preset intensity value, it means that the difference between the intensity values ​​of the third sound signal and the fourth sound signal is not large, thereby indicating that the third pickup and the fourth pickup can normally collect the test sound emitted by the handheld pickup, and then it can be determined that the working status of the third pickup and the fourth pickup are normal.

[0110] In an eighth embodiment of a pipeline leak location method based on audio Internet of Things proposed by the present invention, based on the seventh embodiment, step S710 further includes the following steps:

[0111] If not, executing 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 strength value of the third sound signal is greater than the strength value of the fourth sound signal, the server determines that the working state of the third microphone is normal, and the working state of the fourth microphone is abnormal.

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

[0114] Step S830: When the strength value of the third sound signal is less than the strength value of the fourth sound signal, the server determines that the working state of the fourth microphone is normal, and the working state of the third microphone is abnormal.

[0115] Specifically, when the intensity value of the third sound signal is less than the intensity value of the fourth sound signal, it indicates that the third pickup is working abnormally, and when the fourth pickup is working abnormally, it indicates that the third pickup is working normally.

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

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

[0118] The present invention also proposes a pipeline leak locating system based on audio Internet of Things, which applies a pipeline leak locating method 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; there are multiple monitoring modules, and each monitoring module is respectively arranged at various locations of the underground water pipe; the monitoring module includes a pickup that contacts the underground water pipe for collecting sound signals from the underground water pipe.

[0119] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0120] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are within the protection of the present invention.

Claims

1. A pipeline leak location method based on audio Internet of Things, characterized in that: A pipeline leak location system applied to 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 communicatively connected to the server; there are multiple monitoring modules, and each of the monitoring modules is respectively arranged at various locations of an underground water pipe; The monitoring module includes a microphone in contact with an underground water pipe for collecting sound signals from the underground water pipe; the method includes: The monitoring module obtains the sound signal of the underground water pipe collected by the microphone in real time, and sends the sound signal to the server, wherein the period of collecting the sound signal by the microphone is a first preset time length, and the unit of the first preset time length is milliseconds; The server obtains an average value of the intensity values ​​of the sound signals collected by each microphone within a second preset time period in the past based on the current moment, and uses the average value as the normal average intensity value corresponding to the microphone, wherein the second preset time period is greater than the first preset time period; The server obtains a first preset strength value; The server determines whether there is a monitoring module with a first condition, 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 so, the server marks the monitoring module that meets the first condition as a module to be analyzed, and marks the latest sound signal collected by the microphone of the module to be analyzed as a starting signal; The server obtains a preset number of sound signals that are adjacent to the start signal and sent by the microphone of the module to be analyzed, and marks them as reference signals; The server determines whether the module to be analyzed meets a second condition, wherein the second condition is that 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 a second preset intensity value; If the second condition is met, the server generates feedback information for indicating that a leakage occurs in the underground water pipe, and sends the feedback information to the monitoring terminal.

2. According to the method for locating pipeline leaks based on audio Internet of Things according to claim 1, it is characterized in that: The monitoring terminal includes an input device; The server obtaining a first preset strength value includes: The monitoring terminal obtains a first preset intensity value input by a manager through an input device; The monitoring terminal sends the first preset intensity value to the server.

3. According to the method for locating pipeline leaks based on audio Internet of Things in claim 1, it is characterized in that: Each microphone is provided with a unique device number, and a corresponding identification piece is provided on the ground directly above the installation position of each microphone; the identification piece is marked with the device number of the corresponding microphone; if the second condition is met, the server generates feedback information for indicating that an underground water pipe has leaked, and sends the feedback information to the monitoring terminal, including: The server marks the 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; The server generates feedback information for indicating that an underground water pipe has leaked, wherein the feedback information includes the device number of the pickup corresponding to the abnormal module; The server sends the feedback information to the monitoring terminal.

4. According to the method for locating pipeline leaks based on audio Internet of Things in claim 3, it is characterized in that: The server also stores a relative position diagram of each pickup; the server marks the 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 includes: The server obtains the two most adjacent pickups before and after the pickup corresponding to the abnormal module based on the relative position diagram of each pickup, and marks them as the first pickup and the second pickup respectively; The server marks the acquisition time of the start signal as the start time; The server obtains the sound signal collected by the first microphone at the starting time and marks it as a first comparison signal; The server obtains the sound signal collected by the second microphone at the starting time and marks it as a second comparison signal; The server determines the water leakage location 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; The server generates feedback information for indicating that an underground water pipe has leaked, wherein the feedback information includes a leaking location of the underground pipe; The server sends the feedback information to the monitoring terminal.

5. According to the method for locating pipeline leaks based on audio Internet of Things according to claim 4, it is characterized in that: The server determines the water leakage location 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, 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 leakage location of the underground pipeline as between the first pickup and the pickup 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 leakage location of the underground pipeline as between the second pickup and the pickup corresponding to the module to be analyzed; When the sound intensity value of the first comparison signal and the sound intensity value of the second comparison signal are both smaller than the sound intensity value of the starting signal, and the sound intensity value of the first comparison signal is larger than the sound intensity value of the second comparison signal, the server determines the leakage point of the underground pipeline as between the first pickup and the pickup corresponding to the module to be analyzed; When the sound intensity value of the first comparison signal and the sound intensity value of the second comparison signal are both smaller than the sound intensity value of the starting signal, and the sound intensity value of the second comparison signal is larger than the sound intensity value of the first comparison signal, the server determines the leakage location point of the underground pipeline as between the second pickup and the pickup corresponding to the module to be analyzed.

6. According to the method for locating pipeline leaks based on audio Internet of Things in claim 4, it is characterized in that: The system also includes a handheld speaker; the method further includes: The server determines 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 middle point of the ground connecting line segment of the identification piece corresponding to the third microphone and the identification piece corresponding to the fourth microphone is the test point corresponding to the third microphone and the fourth microphone; The handheld speaker emits a test sound at the test points corresponding to the third pickup and the fourth pickup; When the handheld speaker emits a test sound, the third sound pickup 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 sound pickup marks the collected sound signal as a fourth sound signal and sends it to the server; The server determines whether the working states of the third microphone and the fourth microphone are normal based on the third sound signal and the fourth sound signal.

7. The pipeline leak location method based on audio Internet of Things according to claim 6 is characterized in that: The server determines whether the working states of the third microphone and the fourth microphone are normal based on the third sound signal and the fourth sound signal, including: The server determines whether a difference between an intensity value of the third sound signal and an intensity value of the fourth sound signal is less than a second preset intensity value; If so, the server determines that the working states of the third microphone and the fourth microphone are both normal.

8. The pipeline leak location method based on audio Internet of Things according to claim 7 is characterized in that: The server determines whether a 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 strength value of the third sound signal with the strength value of the fourth sound signal; When the strength value of the third sound signal is greater than the strength value of the fourth sound signal, the server determines that the working state of the third microphone is normal and the working state of the fourth microphone is abnormal; When the strength value of the third sound signal is less than the strength value of the fourth sound signal, the server determines that the working state of the fourth microphone is normal and the working state of the third microphone is abnormal.

9. The pipeline leak location method based on audio Internet of Things according to claim 1 is characterized in that: The system further includes a mobile terminal in communication with the server; if the second condition is met, the server generates feedback information for indicating that the underground water pipe has leaked, and sends the feedback information to the monitoring terminal, and then further includes: The server sends the feedback information to the mobile terminal.

10. A pipeline leak location system based on audio Internet of Things, characterized in that: A pipeline leak locating method based on audio Internet of Things as described in any one of claims 1 to 9 is applied; 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 arranged at various locations of the underground water pipe; the monitoring module includes a pickup that contacts the underground water pipe for collecting sound signals from the underground water pipe.

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