CN2819239Y - Infrared built-in pipeline detector - Google Patents
Infrared built-in pipeline detector Download PDFInfo
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- CN2819239Y CN2819239Y CN 200520025335 CN200520025335U CN2819239Y CN 2819239 Y CN2819239 Y CN 2819239Y CN 200520025335 CN200520025335 CN 200520025335 CN 200520025335 U CN200520025335 U CN 200520025335U CN 2819239 Y CN2819239 Y CN 2819239Y
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Abstract
The utility model discloses an infrared built-in pipeline detector which is used for judging the directions, the pipeline branches and the leak positions of built-in oil pipelines. The utility model comprises an infrared lens for focusing the heat radiation of a detected object, wherein the infrared lens is orderly connected with an infrared detector, a thermal map gathering and preprocessing circuit, a USB interface circuit and a computer processing system, wherein the infrared detector is used for converting light signals to picture electrical signals for presenting the heat radiation; the thermal map gathering and preprocessing circuit can finish the processes of non-uniformity correction, frame storage, wave filtration, gray scale statistic, histogram and temperature measurement; the computer processing system is used for real-time display, pseudo color change, image storage and image analysis of infrared images. The utility model makes use of the infrared thermal imaging method to detect the built-in pipelines, and can quickly, visually and exactly judge the directions, the pipeline branches and the leak positions of the built-in oil pipelines. The utility model can be used for metal pipelines and other non-metal pipelines. The utility model has the advantages of convenient use, portability, no environment pollution and low pipeline detecting cost, and is suitable for field operation.
Description
Technical field
The utility model relates to a kind of pipeline detection instrument, specifically is a kind of infrared buried pipeline sniffer, is used to judge trend, pipe branch and the pipe leakage position in buried oil pipeline road.
Background technology
At present, buried oil pipeline road leakage detection method mainly contains material balance detection method, suction wave detection method, sonic detection method, electromagnetic wave method, optical fibre vibration sensor detection method, tracer method.
The material balance detection method is that the output quantity sum whether the input quantity sum according to pipeline equals pipeline judges whether pipeline leakage has taken place, this method principle is simple, not needing increase equipment or increase the Leak Detection that small number of devices promptly can realize pipeline on pipe network existing equipment basis, is a kind of method of small investment, instant effect.The advantage of this method is that equipment is simple, easy for installation, cost is lower, and shortcoming is that the requirement flow instrumentation has higher precision (flowmeter accuracy is not high can not find small leakage), and can not determine the position of leakage point.
The suction wave detection method realizes according to leaking Negative-pressure Wave Principle.When pipeline take place to leak, can produce instantaneous low frequency suction wave at leakage point and become, this ripple becomes and can propagate to pipe ends in pipeline medium, and the mistiming that arrives pressure detector according to suction wave can calculate the position of leakage point.Though this method is feasible in theory, certain limitation is arranged, press bigger Trunk Line in only being suitable for, undesirable for the by-pass line effect that pressure is less.
The starting point of sonic detection method is that the mutual collision between object all can produce vibration, sounds, and forms sound wave, and sound wave not only can be propagated in air, and can propagate in liquid and solid.When sound wave was propagated in air, air resistance was sharply decayed sound wave, and its velocity of propagation only is 340m/s, and sound wave is when propagating in steel pipe, owing to be subjected to minimum resistance, its velocity of propagation can be up to more than the 5000m/s.The sound wave that produces during drilling hole of oil stolen is propagated at a high speed along steel pipe, after being installed in high sensitivity acoustic sensor on the outer wall of steel pipe and receiving this sound wave, to signal amplify, filtering, a line differentiates, and is transferred to total station host then.Main frame carries out special digital signal detection and two wires to the received signal to be differentiated, and obtains correct alerting signal.Because each substation sends signal with coding, main frame location received signal, the locating and displaying alert locations writes down time of fire alarming simultaneously, and therefore, in case find the stolen punching, main control computer starts warning system at once automatically, sends alerting signal.The advantage of the method is can be in the early stage fast detecting of stealing oil, and shortcoming is to disturb greatlyyer, is difficult to distinguish and steals oil punching signal and other undesired signal, and the situation that wrong report is often arranged or fail to report is located also inaccurate.
Electromagnetic wave method the method can only be surveyed underground metal pipeline, and is then powerless to nonmetal pipeline.
The optical fibre vibration sensor of optical fibre vibration sensor detection method is a kind of sensor that utilizes optical fiber self.Do the time spent when Fibre Optical Sensor is subjected to very small external force, will produce microbend, and its biography luminous energy power can change a lot.Optical fibre vibration sensor is attached to the buried oil pipeline pipeline outer wall every a km, links to each other with ordinary optic fibre between the sensor, and be connected to the terminal signaling analyser and analyze.The vibration that produces during drilling hole of oil stolen can make the optical fibre vibration sensor distortion, and aspects such as the amplitude of light signal wherein, phase place, frequency, polarization will change, thereby analyzes the position of stealing oil as can be known.The method can be accomplished quick and precisely to locate and be stolen oil level and put, the pipe vibration that causes but maximum difficult point is how to distinguish drilling hole of oil stolen and other disturbing factor (as truck through piping etc.), and the situation that wrong report is often arranged or fail to report is located also inaccurate.
Isotope method is to add certain isotope in crude oil, when crude oil transmits in buried pipeline, just can detect the trend of buried pipeline by isotope detector.But the method can cause environmental pollution, and cost is higher.
More than various buried pipeline detection techniques of the prior art though advantage is respectively arranged, can only solve problem in a certain respect in the pipe leakage.
The utility model content
Technical problem to be solved in the utility model is, overcomes the deficiencies in the prior art, and a kind of infrared buried pipeline sniffer that can judge trend, pipe branch and the pipe leakage position in buried oil pipeline road fast, intuitively, exactly is provided.
Infrared buried pipeline sniffer of the present utility model comprises infrared lens and power supply, and described infrared lens connects infrared eye, thermal map collection and pre-process circuit, usb circuit and computer processing system successively; Described infrared lens is used for the heat radiation of measurand is focused on described infrared eye; Described infrared eye is used for light signal is converted to the thermal-radiating electric image signal of sign, stares infrared focal plane array by 320 * 240 micrometering kampometers and constitutes; Described thermal map collection and pre-process circuit are made of A/D analog to digital converter and digital signal processor, and digital signal processor is used to finish Nonuniformity Correction, frame storage, filtering, gray-scale statistical, histogram and thermometric; Described usb circuit is used for and will passes through the pretreated thermal map digital data transmission of thermal map collection and pre-process circuit to computer processing system; Described computer processing system is used for the real-time demonstration of infrared image, pseudo-color conversion, and the image storage is with graphical analysis.
Described infrared lens is that focal length is the infrared germanium camera lens of 19mm.
Described computer processing system is a notebook computer
Compared with prior art, the utlity model has following beneficial effect: (1) the utility model utilizes infrared thermography to survey buried pipeline, and is directly perceived fast, judges the trend in buried oil pipeline road accurately, pipe branch, and pipe leakage position.Comprise metallic conduit and other nonmetal pipeline; (2) the utility model is easy to use, is easy to carry, and is well suited for field operation; (3) environment is not had any pollution, it is very low that pipeline detects cost.
Description of drawings
Fig. 1 is a hardware one-piece construction block scheme of the present utility model;
Fig. 2 is a camera lens angle of inclination synoptic diagram;
Fig. 3 is the software overall framework;
Fig. 4 view data is handled and the process flow diagram that shows in real time.
Embodiment
Below in conjunction with drawings and Examples the utility model is done to describe in detail.
Infrared buried pipeline sniffer of the present utility model is by infrared germanium camera lens, infrared eye, and thermal map collection and pre-process circuit, and be used for that image shows and the notebook computer handled forms.Its one-piece construction framework as shown in Figure 1.
To be the infrared germanium camera lens of 19mm by focal length focus on infrared focal plane array seeker with the heat radiation of measurand with described infrared germanium camera lens.
Described infrared eye adopts 320 * 240 micrometering kampometers to stare the infrared eye that infrared focal plane array constitutes.It is connected to silicon by amorphous silicon resistance radiometer by micro-bridge structure and reads integrated circuit, light signal is converted to characterizes thermal-radiating electric image signal.
Described thermal map collection and correction, filtering, temperature measurement circuit, carry out analog to digital conversion by 14 accuracy A/D, finish functions such as Nonuniformity Correction, frame storage, filtering, gray-scale statistical, histogram and thermometric by digital signal processing (DSP) system then.
Described usb circuit uses the USB2.0 interface to arrive computing machine through the pretreated thermal map digital data transmission of front Acquisition Circuit.
Described computer processing system mainly is responsible for the real-time demonstration of infrared image, pseudo-color conversion, and the image storage is with function such as graphical analysis.Notebook computer be chosen in the size that has taken into full account complete machine, under the prerequisite that weight and image processing speed etc. require, selected the S200 of Asus.This kind of notebook dominant frequency is Centrino 1GHz, and hard disk 40G, display screen are 8.9 inches, and resolution is 1024 * 1024, and weight 880 restrains, and has well satisfied the needs of this project.
Power supply in the utility model is mainly due to giving infrared sensor, collection and pre-process circuit and USB power supply.According to time of instrument field operation generally about 3 hours, having selected rated capacity is (21CR3165) type lithium-ions battery group of 4.5Ah,
The characteristics of the utility model hardware configuration are: use high performance notebook computer as man-machine control interface and display device, and do not adopt general video output.Like this, can make full use of the powerful data processing function of notebook computer image is carried out the online treatment of various algorithms, improve the quality of image; And when finding suspicious region, can store image at any time, be convenient to later processed offline.
After computer processing system adopted notebook computer, infrared pipeline detection instrument of the present utility model just became a kind of handhold portable detection instrument, was easy to carry and on-the-spot the detection.The entire machine design of instrument will take into full account its actual property used.One of Several Factors that entire machine design will be considered, the determining of camera lens angle of inclination, as shown in Figure 2.H is the height of people's hand-held instrument, generally at 1.2～1.5m; θ is 1/2 of camera lens horizontal view angle, θ=22.8 °; The horizontal width of L for surveying, value 4m; S is the distance of instrument to sensing point; α is the detector angle of inclination.Then have: s=L/2tg θ; α=arcsin (h/s); Calculating can get 15～21 ° of α ≈.After the field range through the actual measurement instrument, the angle of inclination of camera lens is decided to be 20 °.
Computer processing system stores application software, is used to finish the real-time demonstration of infrared image, pseudo-color conversion, and image storage is with function such as graphical analysis.A kind of application software of the utility model designer development is disclosed below.
The application software of infrared pipeline detection instrument of the present utility model partly is the application program based on Windows2000 operating system that operates on the notebook computer.Program design is fully according to thoughts of object-oriented programming, and adopting at present, popular visual c++ 6.0 and microsoft foundation class storehouse MFC is development platform.The software overall framework is illustrated in fig. 3 shown below, comprising " obtaining and correction module of raw image data ", and " image is handled and display module in real time ", " pseudo-color processing module ", and major functions such as " image are preserved and the off-line analysis module ".Below several joints will introduce these functional modules respectively.
The flow process of view data processing in real time and demonstration as shown in Figure 4.Will be through the view data of verification automatically or on the basis of manually selected warm window starting point and warm window scope, to 256 grades of grey scale mapping, carry out gray balance then and improve picture quality, recharge the DIB structure, comprise header file information, palette and view data.The view data of attention DIB and the view data that thermal infrared imager is adopted are expert to go up and are inverted.Use PaintDIB () function that DIB is plotted on the display at last.
Pseudo-color processing module.People's vision is quite responsive to colour.The gray shade scale that human eye generally can be distinguished has only more than 20, but can distinguish several thousand kinds of colors that different connection degree, colourity, saturation degree are arranged.According to these characteristics of people, colour can be used for the figure image intensifying, to improve the identifiability of image.Through comparative analysis, rainbow coding 1 meets the cognition custom of people to color and temperature the most.High-temperature area shows that with warm tones low-temperature region shows with cool tone.Along with temperature by high step-down, the progressive formation of its color is: white, red, Huang, green, indigo plant, black.So infrared pipeline is visited the application software of device and is finally selected the gray level image in 1 pair of buried oil pipeline road of rainbow coding to carry out the color processing of puppet.
Image is preserved module, when carrying out the petroleum pipe line line walking with infrared pipeline detection instrument, need in time preserve so that carry out follow-up processed offline the suspicious infrared chart of stealing oil leakage oil zone.According to the actual needs of this project, image is preserved and can be finished by " preserving automatically " and " manually preserving " two approach." preserving " function automatically need not the user and carries out any input operation.When the pipeline rider finds suspicious region, only need by an automatic quick functional key (numerical key 3) of preserving, present image is that filename is saved on the disk with the time of system's current time just.The concrete form of file path be " D: discovery year _ moon _ day the time _ minute _ second .dis ", when off-line was opened the picture of being stored by " automatically preserve " once more, the time of picture collection was presented at the upper left corner of this picture automatically." manually preserving " then needs operating personnel manually to import some information of the image of depositing, and as filename, the time, remarks etc., store path also need the user to select." manually preserve " advantage than " preserving automatically " is that the user can add the descriptor of picture voluntarily, convenient later query analysis, but simultaneously shortcoming be operate more loaded down with trivial details.When off-line was opened the picture that " manually preserve " stored once more, all associated description information of this picture also showed together.
The off-line analysis module of image, for some suspicious districts, at this moment single trend and branch's situation from the very difficult definite buried pipeline of infrared image need with Digital Image Processing algorithms such as pattern-recognitions the buried pipeline situation to be carried out machine recognition, judge in order to the indirect labor.This paper application image is cut apart, and mathematical morphology is handled, and skeleton follows the tracks of scheduling algorithm the infrared image of buried pipeline is handled, and can differentiate trend and branch's situation of pipeline preferably.Because the computing of above-mentioned algorithm all needs the long time (being generally several seconds), so only be fit to the image of having stored is carried out processed offline.Can make the form of analysis report stores or printout the processed offline result of image.
The man-machine interface design.The man-machine interface of software is to contact with the user the most directly and part closely, and it is unique interface that the pipeline rider manipulates infrared pipeline detection instrument.Therefore, the design of man-machine interface will be in line with the principle of practicality, and one wants function outstanding, and two will be simple and easy to usefulness, and three is elegant in appearance.
According to above requirement, the INTERFACE DESIGN of the application software of this infrared pipeline detection instrument has comprised title block, menu bar, toolbar, client area and five parts of status bar.Wherein menu bar and toolbar have been concentrated all operational orders.The client area is mainly used to show infrared image, and left-half is that gray level image shows, right half part is that the pcolor picture of rainbow coding shows.
The utility model is being done a large amount of scene detection experiments respectively at different pipelines of situation such as caliber, oil temperature, buried depth, measurement environment, comprising:
(1) 10 cun trunk line single pipeline detects.Detect real-time condition: 10 cun trunk lines, bury ground 75cm, 40 ~ 45 ℃ of pipe surface temperatures are measured 5 stations, Gangdong, place and crossing, 23 station, Measuring Time at the beginning of 11 months noon 11:20, sunlight direct projection, 2 ~ 3 grades of wind-force, 15 ℃ of temperature.
(2) 2 cun halfpipe single pipelines detect.Detect real-time condition: 2 cun halfpipes, bury ground degree of depth 40cm, 45 ℃ of temperature.Measure the fuel-displaced well head pipeline in horse 20 stations, west, place, Measuring Time at the beginning of 6 months morning 7:00, gentle breeze, 18 ℃ of temperature.
(3) 26 cun cross pipelines one of detect.Detect real-time condition: 26 writing brush roads intersect, and bury ground 60cm, 40 ~ 45 ℃ of temperature.Measure 5 stations, Gangdong, place and crossing, 23 station, Measuring Time be at the beginning of 11 months noon 11:00, fine sunlight direct projection, 2 ~ 3 grades of wind-force, 15 ℃ of temperature.
Two of (4) 26 writing brush roads intersection detections.Detect real-time condition: bury the 6 writing brush lines of ground 60cm, 40 ~ 45 ℃ of temperature are measured 5 stations, Gangdong, place and crossing, 23 station, Measuring Time at the beginning of 11 months morning 7:30,7 ℃ of temperature, 3 ~ 4 grades of wind-force.This pipeline underground to the right folding row.
(5) 6 writing brush roads one of detect under the special ground surface environment.Detect real-time condition: 6 writing brush roads, bury ground 60cm, 40 ~ 45 ℃ of temperature.The weeds that surface coverage 40cm is long.Measure 5 stations, Gangdong, place and crossing, 23 station, Measuring Time is late 20:00 at the beginning of 11 months, 3 ~ 4 grades of wind-force, 8 ℃ of temperature.
(6) under the special ground surface environment two of 6 writing brush road detections.Detect 6 writing brush roads under the thick cement pavement of real-time condition: 15cm, bury ground 40cm, 40 ~ 45 ℃ of temperature.Measure 5 stations, Gangdong, place and crossing, 23 station, Measuring Time is 11:10 at noon, fine sunlight direct projection, 2 ~ 3 grades of wind-force, 15 ℃ of temperature.This pipeline in the cement flooring still as seen.
(7) under the special ground surface environment three of 6 writing brush road detections.Detect real-time condition: 6 writing brush roads, bury ground 55cm, 40 ℃ of temperature are measured 5 stations, Gangdong, place and crossing, 23 station, Measuring Time at the beginning of 11 months noon 11:30, sunlight direct projection, 2～3 grades of wind-force, 15 ℃ of temperature.Ground surface has rut.
Experimental result is surveyed at the scene in the buried oil pipeline road of different situations such as above caliber, oil temperature, buried depth, measurement environment, no matter embodied the utility model surveys the buried pipeline under single pipeline, cross over line or the complicated earth surface environment, the method of its infrared thermal imaging all can be received imaging effect preferably, proved the validity in infrared thermography detection buried oil pipeline road, and verified that also the every performance of infrared pipeline detection instrument all can satisfy the project needs, can realize the line walking in buried oil pipeline road and the detection of stealing oily branch road.
Simultaneously should see that also infrared pipeline detection instrument of the present utility model has certain scope of application.For example pipeline bury darker, oily temperature is lower, when caliber was thin, its temperature difference that forms on the face of land was also very little, even is submerged in fully in the middle of the noise, at this moment just is difficult in the situation of telling underground pipeline in the infrared image.In addition, because summer, ground temperature was higher, sometimes even surpassed the temperature in buried oil pipeline road, at this moment heat conducting direction can change, and becomes from the face of land to the pipeline transmission heat, and in this case, surveying underground pipeline with infrared method will lose efficacy.
Complete machine performance test of the present utility model:
Stability test: in the laboratory infrared pipeline detection instrument complete machine is carried out long-time strike-machine test, through 48 hours continuous operation, software and hardware did not all break down, and image shows normal;
Scope of application test: infrared pipeline detection instrument is tested under different environment temperatures, proved under-10 ~ 40 ℃ environment temperature, instrument uses normal; When environment temperature was lower than-10 ℃, the notebook liquid crystal was shown with sluggish phenomenon, and should not use this moment;
Battery performance test: when the application program of hot Outer Tube detection instrument is moved, the sustainable power supply of the battery of notebook 4.2 hours, sustainable 8.3 hours of the battery of infrared eye and sensing circuit thereof is so the power supply of battery complete machine can reach 4.2 hours.
Claims (3)
1, a kind of infrared buried pipeline sniffer comprises infrared lens and power supply, it is characterized in that described infrared lens is connected with infrared eye in turn, thermal map collection and pre-process circuit, usb circuit, and computer processing system; Described infrared lens is used for the heat radiation of measurand is focused on described infrared eye; Described infrared eye is used for light signal is converted to the thermal-radiating electric image signal of sign, stares infrared focal plane array by 320 * 240 micrometering kampometers and constitutes; Described thermal map collection and pre-process circuit are made of A/D analog to digital converter and digital signal processor, and digital signal processor is used to finish Nonuniformity Correction, frame storage, filtering, gray-scale statistical, histogram and thermometric; Described usb circuit is used for and will passes through the pretreated thermal map digital data transmission of thermal map collection and pre-process circuit to computer processing system; Described computer processing system is used for the real-time demonstration of infrared image, pseudo-color conversion, and the image storage is with graphical analysis.
2, a kind of infrared buried pipeline sniffer according to claim 1 is characterized in that, described infrared lens is that focal length is the infrared germanium camera lens of 19mm.
3, a kind of infrared buried pipeline sniffer according to claim 1 is characterized in that described computer processing system is a notebook computer.
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| CN 200520025335 CN2819239Y (en) | 2005-03-02 | 2005-03-02 | Infrared built-in pipeline detector |
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| CN 200520025335 CN2819239Y (en) | 2005-03-02 | 2005-03-02 | Infrared built-in pipeline detector |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102261982A (en) * | 2011-04-26 | 2011-11-30 | 同济大学 | Early warning method for water seepage of tunnel |
| CN102680174A (en) * | 2011-11-30 | 2012-09-19 | 河南科技大学 | System and method for detecting leakage based on infrared image processing |
| CN102797979A (en) * | 2012-08-29 | 2012-11-28 | 上海海事大学 | Device for detecting leakage points of underground pipeline and method thereof |
| CN102927448A (en) * | 2012-09-25 | 2013-02-13 | 北京声迅电子股份有限公司 | Undamaged detection method for pipeline |
| CN103216731A (en) * | 2013-05-08 | 2013-07-24 | 西安理工大学 | Pipeline leakage judgment method and system thereof |
| CN103744124A (en) * | 2013-12-31 | 2014-04-23 | 华中科技大学 | Infrared imaging detection locating method for underground tubular facility in flat terrain |
| CN103912791A (en) * | 2014-01-26 | 2014-07-09 | 清华大学深圳研究生院 | Underground pipe network leak detection method |
| CN104216029A (en) * | 2014-07-30 | 2014-12-17 | 河南科技大学 | Temperature effect based concealed wire detector |
| CN105547602A (en) * | 2015-11-04 | 2016-05-04 | 上海大学 | Subway tunnel segment leakage water remote measurement method |
| CN106646667A (en) * | 2016-12-29 | 2017-05-10 | 新奥（中国）燃气投资有限公司 | Underground pipeline track location device and method |
| CN108799840A (en) * | 2018-05-04 | 2018-11-13 | 中国人民解放军92942部队 | Steam pipework on-line monitoring system based on infrared imaging and ultrasonic signal |
| CN110132509A (en) * | 2019-05-30 | 2019-08-16 | 广州燃气集团有限公司 | A kind of buried pipeline breakage point positioning system and method |
| CN112379455A (en) * | 2020-10-14 | 2021-02-19 | 新疆建设工程质量安全检测中心 | Nondestructive testing method for trend, spacing and length of concealed pipelines in heating and cooling engineering |
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2005
- 2005-03-02 CN CN 200520025335 patent/CN2819239Y/en not_active Expired - Fee Related
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102261982A (en) * | 2011-04-26 | 2011-11-30 | 同济大学 | Early warning method for water seepage of tunnel |
| CN102680174A (en) * | 2011-11-30 | 2012-09-19 | 河南科技大学 | System and method for detecting leakage based on infrared image processing |
| CN102797979A (en) * | 2012-08-29 | 2012-11-28 | 上海海事大学 | Device for detecting leakage points of underground pipeline and method thereof |
| CN102797979B (en) * | 2012-08-29 | 2014-07-02 | 上海海事大学 | Device for detecting leakage points of underground pipeline and method thereof |
| CN102927448A (en) * | 2012-09-25 | 2013-02-13 | 北京声迅电子股份有限公司 | Undamaged detection method for pipeline |
| CN103216731B (en) * | 2013-05-08 | 2015-02-04 | 西安理工大学 | Pipeline leakage judgment method and system thereof |
| CN103216731A (en) * | 2013-05-08 | 2013-07-24 | 西安理工大学 | Pipeline leakage judgment method and system thereof |
| WO2015101061A1 (en) * | 2013-12-31 | 2015-07-09 | 华中科技大学 | Infrared imaging detection and positioning method for underground tubular facility in plane terrain |
| CN103744124A (en) * | 2013-12-31 | 2014-04-23 | 华中科技大学 | Infrared imaging detection locating method for underground tubular facility in flat terrain |
| US10365399B2 (en) | 2013-12-31 | 2019-07-30 | Huazhong University Of Science And Technology | Method for infrared imaging detection and positioning of underground tubular facility in plane terrain |
| CN103912791A (en) * | 2014-01-26 | 2014-07-09 | 清华大学深圳研究生院 | Underground pipe network leak detection method |
| CN103912791B (en) * | 2014-01-26 | 2016-05-04 | 清华大学深圳研究生院 | Underground pipe network leak detection method |
| CN104216029A (en) * | 2014-07-30 | 2014-12-17 | 河南科技大学 | Temperature effect based concealed wire detector |
| CN105547602A (en) * | 2015-11-04 | 2016-05-04 | 上海大学 | Subway tunnel segment leakage water remote measurement method |
| CN105547602B (en) * | 2015-11-04 | 2018-05-01 | 上海大学 | A kind of telemeasurement method of subway tunnel section of jurisdiction percolating water |
| CN106646667A (en) * | 2016-12-29 | 2017-05-10 | 新奥（中国）燃气投资有限公司 | Underground pipeline track location device and method |
| CN106646667B (en) * | 2016-12-29 | 2019-05-17 | 广州新奥燃气有限公司 | A kind of underground piping track positioning device and method |
| CN108799840A (en) * | 2018-05-04 | 2018-11-13 | 中国人民解放军92942部队 | Steam pipework on-line monitoring system based on infrared imaging and ultrasonic signal |
| CN110132509A (en) * | 2019-05-30 | 2019-08-16 | 广州燃气集团有限公司 | A kind of buried pipeline breakage point positioning system and method |
| CN112379455A (en) * | 2020-10-14 | 2021-02-19 | 新疆建设工程质量安全检测中心 | Nondestructive testing method for trend, spacing and length of concealed pipelines in heating and cooling engineering |
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