CN214037888U - Pipe network leakage point positioning system - Google Patents
Pipe network leakage point positioning system Download PDFInfo
- Publication number
- CN214037888U CN214037888U CN202022142492.1U CN202022142492U CN214037888U CN 214037888 U CN214037888 U CN 214037888U CN 202022142492 U CN202022142492 U CN 202022142492U CN 214037888 U CN214037888 U CN 214037888U
- Authority
- CN
- China
- Prior art keywords
- leakage point
- module
- pipe network
- sonar
- positioning system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Examining Or Testing Airtightness (AREA)
Abstract
The utility model relates to a pipe network leakage point positioning system. A pipe network leakage point positioning system comprises a leakage point detection station and a plurality of sonar devices; a plurality of sonar devices are arranged in a pipe network according to a preset scheme; the sonar device is used for acquiring detection data at an installation position, and the detection data at least comprise sound waveforms, position information and occurrence time; and the leakage point detection station is used for receiving detection data of the sonar devices and determining the specific position of the leakage point of the pipe network according to the sound waveform, the position information and the occurrence time in the detection data. The utility model provides a pipe network leakage point positioning system adopts a plurality of sonar device distributing types to install on the key position in the pipe network, according to corresponding detected data, realizes the accurate location of the point of leaking calculation, convenient and fast.
Description
Technical Field
The utility model relates to a pipe network monitoring technology especially relates to a pipe network leakage point positioning system.
Background
The current mainstream pipe network leakage detection technology is roughly as follows: the method has the advantages that the sound of the leakage point is heard through the artificial listening rod to distinguish the leakage point, however, the method needs manpower, is difficult to operate, and is difficult to determine the leakage point, under the condition of good environmental conditions, a general leakage position can be reluctantly judged, but the judgment is mistaken when the noise interference of a water accumulation area or the outside occurs, so that the waste of manpower input is caused; the pipeline television detection technology is called pipeline CCTV (closed Circuit television) detection abroad, and the system consists of three parts: the master controller, control the cable frame, take camera lens's "robot" crawl device, through master controller control "crawl device" advancing speed and direction in the pipeline, and the image transmission that the control camera was shot is to the master controller display screen on, the leakage point is differentiateed out through the mode of image, this method requires the pipeline to stop water, especially trunk line, can arouse the puzzlement of large tracts of land water cut off, in addition this method need excavate and break off the pipe network, let the crawl device put into the pipeline inner wall, the operation difficulty, need know the approximate position of leakage in advance, otherwise can bring many blindness: the electromagnetic detection method has the advantages that the electromagnetic probe generates a changing magnetic field in the pipe, an induced current is generated in the prestressed steel wires, if the steel wires are broken, the induced current is interrupted, the requirement is that the whole pipe network needs to be provided with steel wire meshes, the electromagnetic receiving probes need to be densely arranged, if the stainless steel pipes are adopted, the method is difficult to realize, only the plastic pipes can be acted, and the method has limitation.
Patent document with application number CN201910679368.8 discloses a leakage monitoring and early warning system for a water supply pipe network, which comprises a leakage hidden danger early warning module, a leaked warning module and a warning and early warning comprehensive management platform, wherein the leakage hidden danger early warning module and the leaked warning module are respectively in communication connection with the warning and early warning comprehensive management platform. But the above problems cannot be completely solved.
Therefore, the existing water pipe network monitoring technology has defects and needs to be improved and enhanced.
SUMMERY OF THE UTILITY MODEL
In view of the above-mentioned deficiencies in the prior art, an object of the present invention is to provide a pipe network leakage point positioning system for solving the technical problem mentioned in the background art.
In order to achieve the purpose, the utility model adopts the following technical proposal:
a pipe network leakage point positioning system comprises a leakage point detection station and a plurality of sonar devices; a plurality of sonar devices are arranged in a pipe network according to a preset scheme;
the sonar device is used for acquiring detection data at an installation position, and the detection data at least comprise sound waveforms, position information and occurrence time;
and the leakage point detection station is used for receiving detection data of the sonar devices and determining the specific position of the leakage point of the pipe network according to the sound waveform, the position information and the occurrence time in the detection data.
Preferably, in the pipe network leakage point positioning system, the sonar device comprises a passive sonar sensor, a contrast module, a filtering module, a processing module, a communication module and a positioning module;
the passive sonar sensor is used for collecting sound waveforms and transmitting the sound waveforms to the processing module;
the processing module is used for coordinating the filtering module, the comparison module and the communication module to normally work after receiving the sound waveform;
the filtering module is used for filtering the sound waveform according to the instruction of the processing module;
the comparison module is used for comparing the sound waveform with the sound waveform of the leakage point according to the instruction of the processing module and transmitting the comparison result to the processing module;
the communication module is connected with the processing module and used for carrying out data interaction with the leakage point detection station;
the positioning module is connected with the processing module and used for acquiring position information and synchronizing time.
Preferably, in the pipe network leakage point positioning system, the filtering module is a wavelet transform processing module.
Preferably, in the pipe network leakage point positioning system, the positioning module is a Beidou positioning device or a GPS positioning device and is provided with an external antenna; the external antenna is led out of the ground.
Preferably, in the pipe network leakage point positioning system, the communication device is an NB-IoT low-power-consumption wireless transmission module.
Preferably, pipe network leakage point positioning system, passive sonar sensor installs inside the pipeline.
Preferably, in the pipe network leakage point positioning system, the leakage point detection station includes a server and a communication device connected to the server; the communication device is connected with the communication module.
Compared with the prior art, the utility model provides a pair of pipe network leakage point positioning system has following beneficial effect:
1) the utility model provides a pipe network leakage point positioning system adopts a plurality of sonar devices to distribute and install on the key position in the pipe network, according to the corresponding detection data, realizes the accurate positioning of the leakage point, convenient and fast;
2) the sonar device in the pipe network leakage point positioning system provided by the utility model adopts wavelet transformation to provide a leakage point sound wave characteristic value, and the characteristic value is extracted after threshold value noise reduction, envelope extraction and maximum value calibration, and multiple wave recording, so that the stability of the site is ensured, and the anti-interference capability is stronger;
3) the utility model provides a pipe network leakage point positioning system's sonar device adopts location satellite system high accuracy time service, has synchronized the emergence time of each measurement point sonar sensor's collection to make measurement accuracy higher.
Drawings
Fig. 1 is a block diagram of a pipe network leakage point positioning system provided by the present invention;
fig. 2 is a block diagram of the internal structure of the sonar device provided by the present invention;
fig. 3 is a frame diagram of an embodiment of a pipe network leakage point positioning system provided by the present invention;
fig. 4 is a schematic diagram of the accurate calculation of the leakage point provided by the present invention;
fig. 5 is a flowchart of a method for locating a leakage point of a pipe network according to the present invention;
FIG. 6 is a flow chart of the sonar device acquiring and detecting data provided by the present invention;
fig. 7 is the utility model provides a leakage point detection station acquires leakage point accurate position flow chart.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the following description of the present invention will refer to the accompanying drawings and illustrate embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the invention.
It is to be understood by one of ordinary skill in the art that the foregoing general description and the following detailed description are exemplary and explanatory of specific embodiments of the invention, and are not intended as limitations on the invention.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps, but may include other steps not expressly listed or inherent to such process or method. Also, without further limitation, one or more devices or subsystems, elements or structures or components beginning with "comprise. The appearances of the phrases "in one embodiment," "in another embodiment," and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
Referring to fig. 1, the present invention provides a pipe network leakage point positioning system, which includes a leakage point detection station 1 and a plurality of sonar devices 2; a plurality of sonar devices 2 are arranged in a pipe network according to a preset scheme; specifically, the installation position in the predetermined scheme is preferably the water meter position at some key nodes, or the important turning position in the pipe network, or the switch node position, and the switch node position is generally a pipe well; the sonar device 2 is in communication connection with the leakage point detection station 1, and the communication connection may be wireless or wired.
The sonar device 2 is used for acquiring detection data at an installation position, and the detection data at least comprises a sound waveform, position information and occurrence time; specifically, the sonar device 2 is mainly a terminal device for detection in a leakage point positioning system, and in this embodiment, the sonar device 2 is installed according to a predetermined scheme and then used for detecting all detection data that can be detected by the current installation position, so as to synchronize position information and occurrence time. In general, the sonar device 2 is only used to detect data and upload all the data to the missing point detection, but in other embodiments, the detected sound waveform may be compared and determined, and when the sound waveform data of the suspected missing point is determined, the detected data is transmitted to the missing point detection station 1.
And the leakage point detection station 1 is used for receiving detection data of the sonar devices 2 and determining the specific position of the leakage point of the pipe network according to the sound waveform, the position information and the occurrence time in the detection data.
The specific working principle is as follows: the sonar equipment can automatically detect data and upload the data to the leakage point detection station 1, and can also perform passive detection on the data under the control of the leakage point detection station 1; before the detection, the characteristic data of the non-leakage sound wave and the leakage sound wave are determined and stored, in the embodiment, the detection is mainly carried out in a non-leakage sound wave comparison mode, namely, the actually measured sound wave and the non-leakage sound wave are compared, when the difference value between the actually measured sound wave and the non-leakage sound wave is large, the leakage point is judged to exist, otherwise, the leakage point is judged not to exist, and the leakage detection can be prevented. Leakage point detecting station 1 detects the detection data that all sonar equipment sent, confirms again whether two adjacent sonar equipment all appear the leakage point, if then the preliminary judgement has the leakage point between the two, otherwise preliminary judgement is suspected leakage point promptly, concern the risk can. In specific implementation, the leakage point detection station 1 further uses graphical display of each sonar equipment on a map according to the received position information, so that the leakage point can be conveniently and quickly determined.
Referring to fig. 2, as a preferred scheme, in this embodiment, the sonar device 2 includes a passive sonar sensor 21, a contrast module 22, a filtering module 23, a processing module 24, a communication module 25, and a positioning module 26;
the passive sonar sensor 21 is used for collecting sound waveforms and transmitting the sound waveforms to the processing module 24; preferably, the passive sonar sensors 21 are hydrophones. Of course, in a further implementation, there may be two passive sonar devices 2, one hydrophone, for detecting the leaky point acoustic wave; and the other is used for detecting the background sound wave of the environment, so that noise is conveniently filtered, and the acceleration sensor is preferably used.
The processing module 24 is configured to coordinate normal operations of the filtering module 23, the comparing module 22, and the communication module 25 after receiving the sound waveform;
the filtering module 23 is configured to perform filtering processing on the sound waveform according to the instruction of the processing module 24; preferably, in this embodiment, the filtering module 23 is a wavelet transform processing module 24. The sound waveform detected by the passive sonar sensor 21 generally has a large amount of noise data, and may be mixed with water flow sound and other external interference, so to eliminate the interference, it is necessary to process the sound waveform data by using wavelet transform, perform threshold denoising, envelope extraction, sound localization, and feature value extraction, and send the processed data to the processing module 24. The filtering module 23 is used for removing noise in the sound waveform, and meanwhile, the characteristic value of the sound waveform is extracted, so that the operation of the comparison module 22 is facilitated. In general, the sound wave after the noise is removed is the eigenvalue, but in other embodiments, other ways may be used to extract the eigenvalue, and the present invention is not limited thereto. Specifically, in threshold denoising, multi-layer decomposition (generally 8 times) is performed on signals by using the multi-variability characteristic of the wavelet, threshold denoising is performed on each layer to obtain a denoised leakage point sound signal, signal reconstruction and envelope decomposition are performed on the denoised leakage point sound signal to extract a wavelet envelope, and then a characteristic value is extracted.
The comparison module 22 is configured to compare the sound waveform with the sound waveform of the leakage point according to the instruction of the processing module 24, and transmit the comparison result to the processing module 24; preferably, the characteristic data of the leakage sound wave and the characteristic data of the non-leakage sound wave are both stored in the comparison module 22, and when the processing module 24 calls the comparison module 22, the measured sound wave to be compared is judged and compared with the non-leakage sound wave, so as to determine whether a leakage point exists. Of course, in a specific implementation, the non-leakage acoustic wave is updated, and when it is determined that the current acoustic wave is not the leakage point acoustic wave characteristic, the new non-leakage acoustic wave is stored.
The communication module 25 is connected with the processing module and is used for performing data interaction with the leakage point detection station 1; preferably, in this embodiment, the communication device is an NB-IoT low-power wireless transmission module, that is, the communication device is in communication connection with the leakage point detection station 1 in a wireless communication manner.
The positioning module 26 is connected to the processing module 24 for obtaining position information and synchronizing time. As a preferable scheme, in this embodiment, the positioning module 26 is a beidou positioning device or a GPS positioning device, and has an external antenna; the external antenna is led out of the ground. Further preferably, the GPS positioning device is used for synchronizing the recording time of the sonar device 2 on each node, and has a positioning function of positioning the position information of the nodes; the GPS time service precision is high, the precision can reach ns level, and the method is suitable for synchronizing the recording start time of each measuring point.
Preferably, in this embodiment, the leakage point detecting station 1 includes a server (not shown, in fig. 3, the collection server, the firewall, the application system, and the switch may form a server), and a communication device (not shown) connected to the server; the communication means are connected to the communication module 25.
Specifically, referring to fig. 3 and 4, the leakage point detection station 1 is responsible for calculating between two adjacent sonar devices 2, confirming the position of the leakage point, setting that the sonar device 2 at the key position a1 and the sonar device 2 at the key position a4 detect the leakage sound wave, the node 17 represents the leakage point, the distance between the two sonar devices 2 is L, and the GPS can locate the position information of two points, the sound waves collected by two measurement points extract eigenvalues through wavelet transform processing, if the same eigenvalue appears at t1 and t2 respectively (in this embodiment, the time interval of the key position a1 appearing the same eigenvalue is t1, the time interval of the key position a4 appearing the same eigenvalue is t2 because the distance between the leakage point and the sonar device 2 at two key positions a1/a4 is different), the acoustic transmission speed of the leakage point and the distance L1 between the leakage point and the key position a1 can be calculated:
V＝L/(t1+t2)；
L1＝V*t1。
correspondingly, please refer to fig. 5, the present invention further provides a pipe network leakage point positioning method for the pipe network leakage point positioning system, comprising:
s1, acquiring detection data of each key position A1-A12 in the pipe network and converging the detection data to the leakage point detection station 1; the detection data at least comprises sound waveform, position information and occurrence time; the sonar equipment can automatically detect data and upload the data to the leakage point detection station 1, and can also perform passive detection on the data under the control of the leakage point detection station 1; before the detection, the characteristic data of the non-leakage sound wave and the leakage sound wave are determined and stored, in the embodiment, the detection is mainly carried out in a non-leakage sound wave comparison mode, namely, the actually measured sound wave and the non-leakage sound wave are compared, when the difference value between the actually measured sound wave and the non-leakage sound wave is large, the leakage point is judged to exist, otherwise, the leakage point is judged not to exist, and the leakage detection can be prevented. The critical positions a1-a12 are preferably the positions where the sonar device 2 is installed in the above-described leak point locating system, and the corresponding device operations are as described above.
And S2, the leakage point detection station 1 determines the determined position of the leakage point of the pipe network according to the sound waveform, the position information and the occurrence time in the detection data. Specifically, referring to fig. 3 and 4, the leakage point detection station 1 is responsible for calculating between two adjacent sonar devices 2, confirming the position of the leakage point, setting that the sonar device 2 at the key position a1 and the sonar device 2 at the key position a4 detect the leakage sound wave, the node 17 represents the leakage point, the distance between the two sonar devices 2 is L, and the GPS can locate the position information of two points, the sound waves collected by two measurement points extract eigenvalues through wavelet transform processing, if the same eigenvalue appears at t1 and t2 respectively (in this embodiment, the time interval of the key position a1 appearing the same eigenvalue is t1, the time interval of the key position a4 appearing the same eigenvalue is t2 because the distance between the leakage point and the sonar device 2 at two key positions a1/a4 is different), the acoustic transmission speed of the leakage point and the distance L1 between the leakage point and the key position a1 can be calculated:
V＝L/(t1+t2)；
L1＝V*t1。
referring to fig. 6, as a preferred embodiment, in step S1, the process of acquiring the inspection data at each of the key positions a1-a12 specifically includes:
s11, acquiring non-leakage sound signals at key positions A1-A12, and extracting and recording non-leakage characteristic values;
in this embodiment, the leakage point detection station 1 issues a control command, and drives the sonar device 2 to receive and execute the command of the system when actively reporting, where the command requires the sonar device 2 to monitor the sound wave of the pipe network in a non-leakage state; before sonar device 2 works, need the GPS time service, the synchronous distribution is in the time of each pipe network node sonar device 2's record wave form, the wave form characteristic under the non-leakage state that sonar device 2 gathered, through wavelet transform extraction characteristic value under the non-leakage state (characteristic value includes information such as frequency, amplitude, phase place, is the maximum of 10K-15K sound wave here, adopts wavelet transform's general function, the utility model discloses do not limit), the characteristic value under the non-leakage state is deposited in contrast module 22.
Preferably, the passive sonar sensor 21 is used to acquire the data, in this embodiment, the filtering module 23 is a wavelet transform processing module 24. The sound waveform detected by the passive sonar sensor 21 generally has a large amount of noise data, and may be mixed with water flow sound and other external interference, so to eliminate the interference, it is necessary to process the sound waveform data by using wavelet transform, perform threshold denoising, envelope extraction, sound localization, and feature value extraction, and send the processed data to the processing module 24. The filtering module 23 is used for removing noise in the sound waveform, and meanwhile, the characteristic value of the sound waveform is extracted, so that the operation of the comparison module 22 is facilitated. In general, the sound wave after the noise is removed is the eigenvalue, but in other embodiments, other ways may be used to extract the eigenvalue, and the present invention is not limited thereto. Specifically, in threshold denoising, multi-layer decomposition (generally 8 times) is performed on signals by using the multi-variability characteristic of the wavelet, threshold denoising is performed on each layer to obtain a denoised leakage point sound signal, signal reconstruction and envelope decomposition are performed on the denoised leakage point sound signal to extract a wavelet envelope, and then a characteristic value is extracted.
S12, real-time monitoring actual measurement sound signals at a key position A1-A12, extracting actual measurement characteristic values, judging whether a difference value between the actual measurement characteristic values and the non-leakage characteristic values exceeds a preset threshold value, and if yes, executing a step S13 to realize uploading of detection data; if not, executing the step S11 to realize the real-time update of the non-leakage characteristic value; actual measurement sound signal acquires through installing passive sonar sensor 21 in the sonar device 2 of key position A1-A12 department, and then adopts filter module 23 to carry out the filtration and carry out the judgement after the eigenvalue draws in the aforesaid, predetermined threshold has set for according to the demand sensitivity, the utility model discloses do not do the restriction.
S13, sound recording is carried out on the key positions A1-A12, sound waveforms, position information and occurrence time are obtained, detection data are formed, and the detection data are gathered to the leakage point detection station 1. It should be noted that the sound recording is to perform multiple detections on the measured sound signal, further form a sound waveform, combine the positioning information and the occurrence time to generate detection data, and send the detection data to the leakage point detection station 1.
Specifically, when the GPS in the sonar device 2 provides time for many times, each pipe network node records the wave for many times, the sonar sensor collects the wave for many times, the feature value is extracted through the filtering module 23 of the sonar device 2, the comparison module 22 of the sonar device 2 calls the comparison library, if the actually measured feature value is sampled by the sonar sensor for many times, the feature value appearing in the collection for one time is found to be basically not different from the feature value in the non-leakage state, it is determined that the change of the feature value appearing in the collection for several times is an interference signal, and possibly, the external environment has sound wave interference, and the process goes to step S11; if after many times of sampling of sonar sensors, the characteristic values all have changed greatly, judge that there is the leakage point between the pipe network node, but still can't confirm which two adjacent nodes, then with the detection data upload to in the leakage point detection station 1.
Referring to fig. 7, as a preferred scheme, in this embodiment, the step S2 specifically includes:
acquiring measured characteristic values of the sound waveforms uploaded at two adjacent key positions A1-A12; and judging whether the two measured characteristic values are the same or not, and if so, determining that a leakage point exists between two adjacent key positions A1-A12. If the two measured characteristic values at the two adjacent key positions A1-A12 are different, it is determined that no leakage point exists between the two, but attention needs to be paid to the two.
Determining the occurrence time of the same measured characteristic value at two adjacent key positions A1-A12;
acquiring the specific position of the leakage point according to the distance between two adjacent key positions A1-A12 and the corresponding occurrence time, and further informing maintenance personnel to maintain; the notification mode comprises the step of sending character information, image information or guide information to the mobile terminal of the maintenance personnel. Referring to fig. 3 and 4, the leakage point detection station 1 is responsible for calculating between two adjacent sonar devices 2, confirming the position of a leakage point, setting that the sonar device 2 at the key position a1 and the sonar device 2 at the key position a4 detect a leakage sound wave, the node 17 represents a leakage point, the distance between the two sonar devices 2 is L, and the GPS can locate the position information of two points, the sound waves collected by two measurement points extract eigenvalues through wavelet transform processing, if the same eigenvalue appears at t1 and t2 respectively (in this embodiment, the time interval of the key position a1 appearing the same eigenvalue is t1, the time interval of the key position a4 appearing the same eigenvalue is t2 because the distance between the leakage point and the sonar device 2 at two key positions a1/a4 is different), the acoustic transmission speed of the leakage point and the distance L1 between the leakage point and the key position a1 can be calculated:
V＝L/(t1+t2)；
L1＝V*t1。
it should be understood that equivalent alterations and modifications can be made by those skilled in the art according to the technical solution of the present invention and the inventive concept thereof, and all such alterations and modifications should fall within the scope of the appended claims.
Claims (7)
1. A pipe network leakage point positioning system is characterized by comprising a leakage point detection station and a plurality of sonar devices; a plurality of sonar devices are arranged in a pipe network according to a preset scheme;
the sonar device is used for acquiring detection data at an installation position, and the detection data at least comprise sound waveforms, position information and occurrence time;
and the leakage point detection station is used for receiving detection data of the sonar devices and determining the specific position of the leakage point of the pipe network according to the sound waveform, the position information and the occurrence time in the detection data.
2. The pipe network leakage point positioning system according to claim 1, wherein the sonar device comprises a passive sonar sensor, a contrast module, a filtering module, a processing module, a communication module and a positioning module;
the passive sonar sensor is used for collecting sound waveforms and transmitting the sound waveforms to the processing module;
the processing module is used for coordinating the filtering module, the comparison module and the communication module to normally work after receiving the sound waveform;
the filtering module is used for filtering the sound waveform according to the instruction of the processing module;
the comparison module is used for comparing the sound waveform with the sound waveform of the leakage point according to the instruction of the processing module and transmitting the comparison result to the processing module;
the communication module is connected with the processing module and used for carrying out data interaction with the leakage point detection station;
the positioning module is connected with the processing module and used for acquiring position information and synchronizing time.
3. The pipe network leakage point positioning system of claim 2, wherein said filtering module is a wavelet transform processing module.
4. The pipe network leakage point positioning system of claim 2, wherein the positioning module is a Beidou positioning device or a GPS positioning device, and is provided with an external antenna; the external antenna is led out of the ground.
5. The pipe network leakage point positioning system of claim 2, wherein the communication module is an NB-IoT low power consumption wireless transmission module.
6. The pipe network leakage point positioning system of claim 2, wherein the passive sonar sensors are installed inside the pipeline.
7. The pipe network leakage point positioning system of claim 2, wherein said leakage point detection station comprises a server and a communication device connected to said server; the communication device is connected with the communication module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022142492.1U CN214037888U (en) | 2020-09-25 | 2020-09-25 | Pipe network leakage point positioning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022142492.1U CN214037888U (en) | 2020-09-25 | 2020-09-25 | Pipe network leakage point positioning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN214037888U true CN214037888U (en) | 2021-08-24 |
Family
ID=77350509
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202022142492.1U Active CN214037888U (en) | 2020-09-25 | 2020-09-25 | Pipe network leakage point positioning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN214037888U (en) |
-
2020
- 2020-09-25 CN CN202022142492.1U patent/CN214037888U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112197179A (en) | Pipe network leakage point positioning system and method | |
| CN102606891B (en) | Water leakage detector, water leakage detecting system and water leakage detecting method | |
| CN110230780B (en) | Water supply pipeline leakage detection method based on ground penetrating radar three-dimensional image attribute analysis | |
| CA2889284C (en) | Detecting leaks in a fluid distribution system | |
| KR101447925B1 (en) | Leakage signal analysis method | |
| JP5846015B2 (en) | Leak detection method, leak detection method, leak detection device and leak detection device | |
| CN101561081B (en) | Method for detecting and positioning leakage of oil-gas pipeline by utilizing autonomous navigation robot | |
| CN102927451B (en) | Method for detecting tiny leakage of oil transmission pipeline | |
| CN103234121A (en) | Acoustic signal based device and method for detecting gas pipeline leakages | |
| CN106352243A (en) | Gas transmission pipeline leakage detection system based on acoustic method | |
| CN108332063A (en) | A kind of pipeline leakage positioning method based on cross-correlation | |
| CN101487567A (en) | Acoustic wave leakage detecting and positioning device | |
| WO2011052969A2 (en) | Ubiquitous system for continuously monitoring pipe facilities | |
| CN112305386A (en) | High-voltage cable live-line detection system and method based on digital twinning technology | |
| CN106369288A (en) | Water supply pipe network leakage monitoring system | |
| CN203348923U (en) | Pipeline water leakage detector and pipeline network water leakage monitoring system with same | |
| CN106597377A (en) | Infrasonic wave in-pipe robot quick positioning system and infrasonic wave in-pipe robot quick positioning method | |
| CN106441272A (en) | Automatic fast positioning system and method of pipeline block clearing robot | |
| CN112782540A (en) | High-voltage cable on-line monitoring and fault point positioning device | |
| CN202995037U (en) | Vehicular wireless underground obstacle detector and construction machine | |
| CN214037888U (en) | Pipe network leakage point positioning system | |
| CN113759358A (en) | Detection method and system for buried pipeline | |
| CN117169656A (en) | Quick positioning device for power distribution network ground fault | |
| CN112556823A (en) | Oil-gas pipeline cleaner ball-clamping positioning monitoring method and device based on distributed optical fiber sensing | |
| CN108152661A (en) | Looped network cable initial failure early warning and alignment system and method based on transient disturbance |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |