CN110778922B - Pipe network leakage point searching method and system - Google Patents
Pipe network leakage point searching method and system Download PDFInfo
- Publication number
- CN110778922B CN110778922B CN201911026867.3A CN201911026867A CN110778922B CN 110778922 B CN110778922 B CN 110778922B CN 201911026867 A CN201911026867 A CN 201911026867A CN 110778922 B CN110778922 B CN 110778922B
- Authority
- CN
- China
- Prior art keywords
- waveform
- point
- interval
- sound wave
- time
- 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
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
Abstract
The invention relates to a pipe network leakage point searching method and a pipe network leakage point searching system, wherein waveform information in a time period when sound waves start to be sent into a pipe network and are collected again is obtained; identifying a normal waveform interval and a leakage point waveform interval in the waveform information, marking a starting point and an end point of each leakage point waveform interval, and marking the starting point and the end point of each normal waveform interval; recording the time from the starting point of the first normal waveform interval to the starting point of each leakage point waveform interval; and calculating the distance between the position of the leakage point and the starting position of the waveform to determine the specific position of the leakage point of the pipe network. The method has the advantages of high speed of finding the position of the missing point and more accurate finding.
Description
Technical Field
The invention relates to the technical field of pipe network detection, in particular to a pipe network leakage point searching method and a pipe network leakage point searching system.
Background
The pipe network belongs to a part of a fire-fighting system and is mainly used for supplying water to fire hydrant; in the prior art, a camera monitoring mode is mainly adopted for the pipe network, and the whole range of the pipe network is large, and the camera monitoring range is limited, so that a plurality of cameras are adopted and the arrangement direction of the pipe network is set for monitoring when the whole pipe network is monitored.
The above prior art solutions have the following drawbacks: the pipe network is in long-time use, continuously receives water impact and in addition intraductal the condition that produces rust for easily produce the condition of part leak source in the whole pipe network, need in time find the position of leak source and in time repair this moment, and above-mentioned because there is the pipe network to carry out comprehensive control, can look for one by one according to the image of camera passback, with the position of definite pipe network leak source, but easily lead to whole speed of looking for pipe network leak source position slower.
Disclosure of Invention
The invention aims to provide a pipe network missing point searching method which has the advantages of high missing point position searching speed and more accurate searching.
The above object of the present invention is achieved by the following technical solutions: a pipe network missing point searching method comprises the following steps:
acquiring waveform information in a time period when sound waves start to be sent into a pipe network and collected again;
identifying a normal waveform interval and a leakage point waveform interval in the waveform information, marking a starting point and an end point of each leakage point waveform interval, and marking the starting point and the end point of each normal waveform interval;
recording the time from the starting point of the first normal waveform interval to the starting point of each leakage point waveform interval, and recording as marking time T1 and T2.. Tn;
and calculating the length from the starting point of the leak point waveform interval to the starting point of the first normal waveform interval to determine the specific position of the leak point of the pipe network.
By adopting the technical scheme, when the leakage point detection is required to be carried out on the pipe network, ultrasonic waves can be sent into the pipe network through the initial position of the pipe network, the ultrasonic waves are collected and then displayed, the waveform of the ultrasonic waves is analyzed, the normal waveform interval and the leakage point waveform interval in the collected waveform information are determined, the starting point and the ending point of the normal waveform interval and the starting point and the ending point of the leakage point waveform interval are marked, then the time from the sound wave sending position to the starting point of each leakage point waveform interval is recorded, the position of the leakage point in the waveform information is determined, and the length of the waveform is calculated to determine the specific position of the leakage point in the pipe network; the method searches the interval of the leakage point waveform by sending the sound wave and the sound wave information, records the time from the sound wave sending position to the leakage point waveform, and then calculates the length from the sound wave sending position to the leakage point, thereby being beneficial to quickly searching the leakage position of the pipe network and accurately confirming the position of each leakage point.
The invention is further configured to: further comprising:
combining the recorded marking time, and acquiring waveform information of the sound wave after the sound wave passes through the corresponding marking time for many times;
comparing the waveform information after the corresponding marking time passes each time with the waveform information collected for the first time after the corresponding marking time passes;
the mark time from the first recorded normal waveform interval to the start point of each of the missing-point waveform intervals is determined.
By adopting the technical scheme, ultrasonic waves are sent to the pipe network for multiple times through the initial position of the pipe network and are collected, and then the waveform information of each waveform in the collected waveform information after corresponding marking time is compared, so that the accuracy of the determined position of the leakage point is further enhanced, and the position of the leakage point interval can be further determined.
The invention is further configured to: further comprising:
acquiring the time of waveform information generated from a starting point to an end point of a leakage point waveform interval;
and calculating the length from the starting point to the ending point of the leakage point waveform interval, and determining the caliber of the leakage point of the pipe network.
By adopting the technical scheme, the length of the leak point waveform interval is calculated according to the time of the leak point waveform interval and the waveform transmission speed, namely the caliber of the generated leak point, so that a worker can repair the leak point.
The invention is further configured to: further comprising:
acquiring error intervals between the termination point of a normal waveform interval and the starting point of a leakage point waveform interval after the normal waveform interval and between the termination point of the leakage point waveform interval and the starting point of the normal waveform interval after the leakage point waveform interval, and marking the error intervals as error waveform information when waveform information exists in the error intervals;
comparing the error waveform information with waveform information of a normal waveform interval and a leakage point waveform interval;
and identifying a waveform section to which the generated error waveform information belongs.
By adopting the technical scheme, a certain error interval may exist between two adjacent normal waveform intervals and a leakage point waveform interval, if the error interval exists, corresponding waveform information is generated, and the waveform interval to which the error waveform information belongs is identified by acquiring the error interval and analyzing the waveform information of the error interval so as to perfect the normal waveform interval and the leakage point waveform interval.
The invention is further configured to: further comprising:
when error waveform information is determined to exist and belongs to a leakage point waveform interval, acquiring the time for generating the error waveform information;
and calculating the length of the error waveform information and determining the caliber of the leakage point of the pipe network by combining the length from the starting point to the ending point of the leakage point waveform interval.
By adopting the technical scheme, when the error waveform information is determined to belong to the leakage point waveform interval, the time of the error waveform information is obtained, and then the length of the error waveform information is calculated and combined with the length of the leakage point waveform information, so that the accuracy of determining the caliber of the leakage point of the pipe network is improved.
Another object of the present invention is to provide a pipe network missing point searching system, which has the advantage of more accurate location searching of the missing point.
The above object of the present invention is achieved by the following technical solutions: a pipe network leakage point searching system comprises a sound wave detection module, a sound wave identification module, a sound wave time recording module and a sound wave length calculation module.
And the sound wave detection module is used for transmitting sound waves to the pipe network at the initial position of the pipe network, collecting the sound waves and displaying the collected sound waves in real time.
And the sound wave identification module is coupled with the sound wave detection module and identifies the normal waveform interval of the pipe network and the leakage point waveform interval of the pipe network with leakage points in the collected waveform information.
And the sound wave time recording module is coupled with the sound wave identification module and records the time from the first normal waveform interval to each leakage point waveform interval.
And the sound wave length calculating module is coupled with the sound wave time recording module and calculates the length between each leakage point and the initial position of the pipe network according to the recorded time.
By adopting the technical scheme, when the pipe network is required to be subjected to leak detection, the sound wave detection module firstly carries out real-time detection on the inside of the pipe network and carries out sound wave collection, then the sound wave identification module identifies the leak waveform interval generated when a leak exists in the pipe network, the sound wave time recording module records the time from the first normal waveform interval to each leak waveform interval, and then the sound wave length calculation module can accurately calculate the position of the leak according to the recorded time and the sound wave transmission speed.
The invention is further configured to: further comprising:
the sound wave timing acquisition module is coupled with the sound wave time recording module to emit and collect sound waves for multiple times and acquire waveform information when the sound waves reach the time points recorded by the sound wave time recording module;
and the sound wave comparison module is coupled with the sound wave timing acquisition module and compares the acquired multi-time waveform information with the waveform information of the corresponding time point collected by the sound wave detection module so as to determine the marking time from the first normal waveform interval recorded by the sound wave time recording module to the starting point of each leak point waveform interval.
By adopting the technical scheme, the sound wave timing acquisition module is used for sending and receiving sound waves for multiple times, sound wave information of the position reaching the standard and recording time is acquired, the sound wave comparison module is used for comparing the sound wave information for multiple times, and when the sound wave information of multiple times are coincided, the time of the sound wave reaching the position of the leakage point is determined, so that the accuracy of confirming the position of the leakage point is further improved.
The invention is further configured to: further comprising:
the sound wave error detection module is coupled with the sound wave identification module and is used for detecting error intervals between the starting point of the normal waveform interval and the ending point of the leakage point waveform interval and between the ending point of the normal waveform interval and the starting point of the leakage point waveform interval;
the error waveform identification module is coupled with the sound wave error detection module, identifies waveform information in an existing error interval and matches the waveform information to a normal waveform interval or a leakage point waveform interval;
and the error interval length calculation module is coupled with the error waveform identification module, acquires the time of generating the error waveform information belonging to the leak point waveform interval, and calculates the length of the error interval.
By adopting the technical scheme, the error interval existing between the normal waveform interval and the leak point waveform interval is detected by arranging the sound wave error detection module, when the error interval exists, the waveform information in the error interval is identified by the error waveform identification module and matched to the corresponding waveform interval, then the length of the error waveform information belonging to the leak point waveform interval is calculated by the error interval length calculation module, and the length of the leak point waveform interval is combined to be used as the caliber of the leak point.
In conclusion, the beneficial technical effects of the invention are as follows:
the method comprises the steps of searching a leakage point waveform interval through sound wave sending and sound wave information, recording the time from the sound wave sending position to the leakage point waveform, and then calculating the length from the sound wave sending position to the leakage point, so that the leakage position of the pipe network can be searched quickly, and the position of each leakage point can be accurately confirmed;
by acquiring the error interval and analyzing the waveform information of the error interval, the waveform interval to which the error waveform information belongs is identified, so that the normal waveform interval and the leakage point waveform interval are improved, and the accuracy of determining the leakage point position is further improved.
Drawings
Fig. 1 is a first flowchart of a first embodiment of the present invention.
FIG. 2 is a flow chart of a first embodiment of the present invention.
Fig. 3 is a flow chart of a first embodiment of the present invention.
Fig. 4 is a schematic diagram of a second embodiment of the present invention.
In the figure, 1, an acoustic detection module; 2. a sound wave identification module; 3. a sound wave time recording module; 4. a sound wave length calculation module; 5. a sound wave timing acquisition module; 6. a sound wave comparison module; 7. an acoustic wave error detection module; 8. an error waveform identification module; 9. and an error interval length calculation module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The first embodiment is as follows:
referring to fig. 1, a method for searching a pipe network missing point disclosed by the present invention includes:
s1, acquiring waveform information in a time period when sound waves start to be sent into the pipe network and are collected again; the ultrasonic transmitter is adopted for transmitting the sound waves, and the position of the ultrasonic transmitter is preferably the starting position of the whole pipe network, so that the ultrasonic waves can cover the whole pipe network, and the speed of the ultrasonic transmitter is 340 m/s.
S2, identifying the normal waveform interval and the leakage point waveform interval in the waveform information, and in the collected returned waveform information, the intensity of the waveform information generated when the ultrasonic wave passes through the normal pipeline is greater than that of the waveform information passing through the pipeline with the leakage point; in this embodiment, when the normal waveform information intensity and the leak point waveform information intensity are determined, the data are determined by presetting waveform energy, and when the waveform energy intensity is greater than the waveform energy determination data in the collected waveform information, the collected waveform information is normal waveform information, whereas when the waveform energy intensity is less than the waveform energy determination data in the collected waveform information, the collected waveform information is leak point waveform information, at this time, a section formed by the normal waveform information is a normal waveform section, and a section formed by the leak point waveform information is a leak point waveform section.
Marking the starting point and the end point of each leakage point waveform interval, and marking the starting point and the end point of each normal waveform interval; specifically, for the starting point of the first normal waveform interval and the starting position of the pipe network, the termination point is the starting point generated by the first leakage waveform interval, the starting point of the normal waveform interval from the second start is the termination point of the leakage waveform interval before the normal waveform interval, and the termination point of the normal waveform interval from the second start is the starting point of the leakage waveform interval after the normal waveform interval, so that the normal waveform interval and the leakage waveform interval can be more accurately analyzed.
S3, recording the time from the starting point of the first normal waveform interval to the starting point of each leakage point waveform interval as the marking time T1, T2.. Tn; in the process of collecting waveform information, there are two processes of transmission and reception, and when time marking is performed, the marked time is half of the corresponding time.
And S4, calculating the length between the starting point of the leaky waveform interval and the starting point of the first normal waveform interval to determine the specific position of the leaky point of the pipe network, wherein the length between the starting point of the leaky waveform interval and the starting point of the first normal waveform interval is calculated and determined according to the marked time and the transmission speed of the ultrasonic wave.
S5, acquiring the time of waveform information generated from the starting point to the ending point of the leakage point waveform interval; the leakage point waveform interval is generated because the leakage point exists in the pipe network, and the leakage point part can present a certain concave condition compared with the pipe wall of the pipe network in a normal state, so that the sound wave fluctuates from the initial point to the end point of the leakage point and forms corresponding waveform information, and the time for generating the waveform information can be further acquired.
S6, calculating the length from the starting point to the ending point of the leakage point waveform interval, and determining the caliber of the leakage point of the pipe network; after the time of the waveform information generated in the leaky point waveform interval is obtained, the length of the leaky point waveform interval, namely the aperture of the leaky point, can be calculated according to the speed of sound wave transmission.
Referring to fig. 2, further, in step S3, to further enhance the accuracy of the determined position of the missing point, specifically, the method includes:
s31, combining the recorded marking time, obtaining the waveform information of the sound wave after the corresponding marking time for many times, namely obtaining the waveform information of the sound wave in the time period when the sound wave starts to be sent to the pipe network and is collected again for many times; after sound wave information is sent and received once to identify normal waveform intervals and leakage point waveform intervals, and the time from the starting point of the first normal waveform interval to the starting point of each leakage point waveform interval is recorded, the sound wave information is sent and received into the pipe network for multiple times, and the recorded marking time is taken as a node, so that the waveform information of the sound wave reaching the marking time position in the multiple sending process is obtained.
And S32, comparing the waveform information after each time of corresponding marking time with the waveform information collected for the first time after corresponding marking time, so as to observe the goodness of fit of the waveform information.
S33, determining the marking time from the recorded first normal waveform interval to the starting point of each leakage point waveform interval; in this embodiment, when the waveform information of the acoustic wave reaching the mark time position in the multiple transmission processes is compared with the waveform information acquired at the mark time for the first time, and when all the waveform information are mutually overlapped, the mark time of the acoustic wave can be determined, and the electric leakage existing in the pipe network is the position of the acoustic wave after being transmitted by the mark time.
Referring to fig. 3, in step S5, there may be a certain error interval between two adjacent normal waveform intervals and the missing point waveform interval, and if there is an error interval, corresponding waveform information may be generated to reduce the influence of the error on the marking time in the process of transmitting and receiving the acoustic wave, so as to perfect the normal waveform interval and the missing point waveform interval.
The method specifically comprises the following steps:
s51, obtaining error intervals between the termination point of the normal waveform interval and the starting point of the leakage point waveform interval generated after the normal waveform interval and between the termination point of the leakage point waveform interval and the starting point of the normal waveform interval after the leakage point waveform interval, and marking the error intervals as error waveform information when the waveform information exists in the error intervals; when error interval is acquired, the received waveform information is divided according to the identified normal waveform interval and the leakage point waveform interval, then the end point of each normal waveform interval is combined with the start point of the adjacent leakage point waveform interval, the start point of each normal waveform interval is combined with the end point of the adjacent leakage point waveform interval, when the start point and the end point of the normal waveform interval and the leakage point waveform interval can be completely overlapped and form a smooth waveform curve, no error interval exists, otherwise, an error interval exists.
And S52, comparing the error waveform information with the waveform information of the normal waveform interval and the leakage point waveform interval.
S53, identifying the waveform section to which the generated error waveform information belongs; in this embodiment, when the error waveform information and the normal waveform information can completely overlap, the generated error waveform information belongs to the normal waveform section, when the error waveform information and the leakage point waveform information can completely overlap, the generated error waveform information belongs to the leakage point waveform section, and when the error waveform information does not overlap with the normal waveform information and the leakage point waveform information, the generated error waveform information can be deleted.
S54, when determining that the error waveform information exists and belongs to the leakage point waveform interval, acquiring the time for generating the error waveform information; at this time, the starting point and the ending point of the error interval need to be marked, and then the time from the starting point to the ending point of the error interval of the sound wave is obtained.
And S55, calculating the length of the error waveform information, determining the caliber of the pipe network leakage point according to the time from the starting point to the ending point of the error interval and the transmission speed of the sound wave, and then combining the length from the starting point to the ending point of the leakage point waveform interval, wherein the caliber of the pipe network leakage point in the embodiment is preferably the sum of the length of the error interval and the length of the leakage point waveform interval.
Example two:
referring to fig. 4, the pipe network leakage point searching system disclosed by the invention comprises a sound wave detection module 1, a sound wave identification module 2, a sound wave time recording module 3 and a sound wave length calculation module 4.
The sound wave detection module 1 is used for transmitting sound waves to the pipe network at the initial position of the pipe network, collecting the sound waves and displaying the collected sound waves in real time; the sound wave identification module 2 is coupled with the sound wave detection module 1 and identifies the normal waveform interval of the pipe network and the leakage point waveform interval of the pipe network with leakage points in the collected waveform information; the sound wave time recording module 3 is coupled to the sound wave identification module 2 and records the time from the first normal waveform interval to each leakage point waveform interval; and the sound wave length calculating module 4 is coupled to the sound wave time recording module 3 and calculates the length between each leakage point and the initial position of the pipe network according to the recorded time.
Furthermore, in order to improve the accuracy of confirming the position of the leakage point, the invention also comprises an acoustic wave timing acquisition module 5 and an acoustic wave comparison module 6; the sound wave timing acquisition module 5 is coupled to the sound wave time recording module 3 to emit and collect sound waves for multiple times and acquire waveform information when the sound waves reach a time point recorded by the sound wave time recording module 3; the acoustic wave comparison module 6 is coupled to the acoustic wave timing acquisition module 5 to compare the acquired multiple waveform information with the waveform information collected by the acoustic wave detection module 1 at corresponding time points, so as to determine the mark time from the first normal waveform interval recorded by the acoustic wave time recording module 3 to the start point of each leaky point waveform interval.
Furthermore, in order to improve the accuracy of the calculation of the aperture of the leakage point, the invention also comprises an acoustic wave error detection module 7, an error waveform identification module 8 and an error interval length calculation module 9; the acoustic wave error detection module 7 is coupled to the acoustic wave identification module 2 and detects error intervals existing between the start point of the normal waveform interval and the end point of the leakage point waveform interval and between the end point of the normal waveform interval and the start point of the leakage point waveform interval; the error waveform identification module 8 is coupled to the acoustic wave error detection module 7, identifies waveform information in an existing error interval, and matches the waveform information to a normal waveform interval or a leakage point waveform interval; the error interval length calculation module 9 is coupled to the error waveform identification module 8 and obtains the time of generating the error waveform information belonging to the leak waveform interval, and calculates the length of the error interval, and then combines the calculated length of the error interval and the calculated length of the leak waveform interval to be used as the aperture of the leak.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (3)
1. A pipe network missing point searching method is characterized in that: the method comprises the following steps:
acquiring waveform information in a time period when sound waves start to be sent into a pipe network and collected again;
identifying a normal waveform interval and a leakage point waveform interval in the waveform information, marking a starting point and an end point of each leakage point waveform interval, and marking the starting point and the end point of each normal waveform interval;
recording the time from the starting point of the first normal waveform interval to the starting point of each leakage point waveform interval, and recording as marking time T1 and T2.. Tn;
calculating the length from the starting point of the leakage point waveform interval to the starting point of the first normal waveform interval to determine the specific position of the leakage point of the pipe network;
combining the recorded marking time, and acquiring waveform information of the sound wave after the sound wave passes through the corresponding marking time for many times;
comparing the waveform information after the corresponding marking time passes each time with the waveform information collected for the first time after the corresponding marking time passes;
determining the marking time from the recorded first normal waveform interval to the starting point of each leakage point waveform interval;
acquiring the time of waveform information generated from a starting point to an end point of a leakage point waveform interval;
calculating the length from the starting point to the ending point of the leakage point waveform interval, and determining the caliber of the leakage point of the pipe network;
acquiring error intervals between the termination point of a normal waveform interval and the starting point of a leakage point waveform interval after the normal waveform interval and between the termination point of the leakage point waveform interval and the starting point of the normal waveform interval after the leakage point waveform interval, and marking the error intervals as error waveform information when waveform information exists in the error intervals;
comparing the error waveform information with waveform information of a normal waveform interval and a leakage point waveform interval;
and identifying a waveform section to which the generated error waveform information belongs.
2. The pipe network leakage point searching method according to claim 1, wherein: further comprising:
when error waveform information is determined to exist and belongs to a leakage point waveform interval, acquiring the time for generating the error waveform information;
and calculating the length of the error waveform information and determining the caliber of the leakage point of the pipe network by combining the length from the starting point to the ending point of the leakage point waveform interval.
3. A pipe network missing point searching system is characterized in that: the system comprises a sound wave detection module (1), a sound wave identification module (2), a sound wave time recording module (3) and a sound wave length calculation module (4);
the sound wave detection module (1) is used for transmitting sound waves to the pipe network at the initial position of the pipe network, collecting the sound waves and displaying the collected sound waves in real time;
the sound wave identification module (2) is coupled to the sound wave detection module (1) and identifies a normal waveform interval of a pipe network and a leakage point waveform interval of the pipe network with leakage points in the collected waveform information;
the sound wave time recording module (3) is coupled to the sound wave identification module (2) and records the time from the first normal waveform interval to each leakage point waveform interval;
the sound wave length calculating module (4) is coupled with the sound wave time recording module (3) and calculates the length between each leakage point and the initial position of the pipe network according to the recorded time;
the sound wave timing acquisition module (5) is coupled to the sound wave time recording module (3) to emit and collect multiple sound waves and acquire waveform information when the sound waves reach the time points recorded by the sound wave time recording module (3);
the sound wave comparison module (6) is coupled to the sound wave timing acquisition module (5) and used for comparing the acquired waveform information of multiple times with the waveform information of corresponding time points collected by the sound wave detection module (1) so as to determine the marking time from a first normal waveform interval recorded by the sound wave time recording module (3) to the starting point of each leakage point waveform interval;
the sound wave error detection module (7) is coupled with the sound wave identification module (2) and is used for detecting error intervals between the starting point of the normal waveform interval and the ending point of the leakage point waveform interval and between the ending point of the normal waveform interval and the starting point of the leakage point waveform interval;
the error waveform identification module (8) is coupled with the sound wave error detection module (7), identifies waveform information in an existing error interval and matches the waveform information to a normal waveform interval or a leakage point waveform interval;
and the error interval length calculation module (9) is coupled with the error waveform identification module (8) and is used for acquiring the time of generating the error waveform information belonging to the leak point waveform interval and calculating the length of the error interval.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911026867.3A CN110778922B (en) | 2019-10-26 | 2019-10-26 | Pipe network leakage point searching method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911026867.3A CN110778922B (en) | 2019-10-26 | 2019-10-26 | Pipe network leakage point searching method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110778922A CN110778922A (en) | 2020-02-11 |
| CN110778922B true CN110778922B (en) | 2021-06-08 |
Family
ID=69386853
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911026867.3A Active CN110778922B (en) | 2019-10-26 | 2019-10-26 | Pipe network leakage point searching method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110778922B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001201388A (en) * | 2000-01-20 | 2001-07-27 | Tlv Co Ltd | Instrument and method for measuring liquid level in piping |
| CN102537667A (en) * | 2011-12-29 | 2012-07-04 | 杭州翰平电子技术有限公司 | Underground water pipe leakage detection positioning system and method thereof |
| CN103292160A (en) * | 2013-06-27 | 2013-09-11 | 陕西师范大学 | Ultrasonic detection device and method for pipeline leakage |
| CN103672413A (en) * | 2012-09-26 | 2014-03-26 | 哈尔滨市三和佳美科技发展有限公司 | Method for detecting leakage of inside of tap water pipeline by means of ultrasonic waves |
| CN108930915A (en) * | 2018-08-01 | 2018-12-04 | 北京中彤节能技术有限公司 | A kind of pipe leakage recognition methods based on Qualitative Mapping, apparatus and system |
| CN109340585A (en) * | 2018-10-26 | 2019-02-15 | 北京化工大学 | A kind of pipeline leakage testing and localization method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100456010C (en) * | 2005-06-01 | 2009-01-28 | 天津大学 | Method for detecting leakage of oil gas pipe based on pressure signal knee |
| CN105927861B (en) * | 2016-04-20 | 2018-12-07 | 中国石油大学(华东) | Leakage acoustic characteristic extracting method based on Wavelet Transform Fusion blind source separation algorithm |
-
2019
- 2019-10-26 CN CN201911026867.3A patent/CN110778922B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001201388A (en) * | 2000-01-20 | 2001-07-27 | Tlv Co Ltd | Instrument and method for measuring liquid level in piping |
| CN102537667A (en) * | 2011-12-29 | 2012-07-04 | 杭州翰平电子技术有限公司 | Underground water pipe leakage detection positioning system and method thereof |
| CN103672413A (en) * | 2012-09-26 | 2014-03-26 | 哈尔滨市三和佳美科技发展有限公司 | Method for detecting leakage of inside of tap water pipeline by means of ultrasonic waves |
| CN103292160A (en) * | 2013-06-27 | 2013-09-11 | 陕西师范大学 | Ultrasonic detection device and method for pipeline leakage |
| CN108930915A (en) * | 2018-08-01 | 2018-12-04 | 北京中彤节能技术有限公司 | A kind of pipe leakage recognition methods based on Qualitative Mapping, apparatus and system |
| CN109340585A (en) * | 2018-10-26 | 2019-02-15 | 北京化工大学 | A kind of pipeline leakage testing and localization method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110778922A (en) | 2020-02-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104421620B (en) | Leakage signal analysis method | |
| CN102563361A (en) | Device and method for detecting and positioning leakage of gas transmission pipeline based on conventional data and sound wave signals | |
| CN106704834A (en) | Device and method for infrasonic monitoring and pipe leakage positioning | |
| JPWO2014167700A1 (en) | Mobile robot and sound source position estimation system | |
| US20150241297A1 (en) | Leakage determination method, leakage determination system, and program | |
| CN110778922B (en) | Pipe network leakage point searching method and system | |
| KR20170091455A (en) | Inter-floor noise measuring system using mobile device | |
| KR102221713B1 (en) | Diagnosis method of sewage condition using Deep Learning based on acoustic in-out data | |
| CN106153363A (en) | A kind of mechanical equipment fault automatic identifying method based on acoustic image monitoring | |
| CN116388858A (en) | Fiber breakage detection method and device based on phase demodulation | |
| AU2014202050B2 (en) | Integrated sensing device for assessing integrity of a rock mass and corresponding method | |
| CN112014797A (en) | Audio-listening and position-distinguishing system of network camera | |
| CN101782536A (en) | System and method for perspective detection of colliery belt | |
| CN108805147B (en) | A kind of tubing and casing shaft sleeve damage characteristics of image mode identification method | |
| JP3718740B2 (en) | Water leak detection method and water leak detection system for water distribution pipe | |
| WO2023004182A9 (en) | Location determination of deployed fiber cables using distributed fiber optic sensing | |
| CN112856250A (en) | Water supply pipeline leakage positioning method | |
| JPH1019716A (en) | Method and apparatus for inspecting conduit | |
| Tejedor et al. | Towards detection of pipeline integrity threats using a SmarT fiber-OPtic surveillance system: PIT-STOP project blind field test results | |
| CN112161755A (en) | Buried pipeline detection method and device, heterogeneous sensor array and storage medium | |
| KR20210029934A (en) | Water leak detection system | |
| CN109696123A (en) | Vehicle critical component morpheme detection method based on line laser detection technique | |
| US20230142932A1 (en) | Underground cable localization by fast time series template matching | |
| CN115875008B (en) | Intelligent drilling data acquisition method, system and storage medium of geological drilling machine | |
| JP3535679B2 (en) | Method for judging multiple reflection signals in a pipe in an ultrasonic line survey system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Method and system for finding leakage point of pipe network Effective date of registration: 20220223 Granted publication date: 20210608 Pledgee: Branches of Jinan Rural Commercial Bank Co.,Ltd. Pledgor: Shandong You'an Fire Fighting System Co.,Ltd. Registration number: Y2022980001804 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20230214 Granted publication date: 20210608 Pledgee: Branches of Jinan Rural Commercial Bank Co.,Ltd. Pledgor: Shandong You'an Fire Fighting System Co.,Ltd. Registration number: Y2022980001804 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Methods and systems for finding leakage points in pipe networks Effective date of registration: 20230217 Granted publication date: 20210608 Pledgee: Branches of Jinan Rural Commercial Bank Co.,Ltd. Pledgor: Shandong You'an Fire Fighting System Co.,Ltd. Registration number: Y2023980032862 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right |