CN115264407A - Intelligent pipeline imaging detector based on tomography measurement and detection method - Google Patents
Intelligent pipeline imaging detector based on tomography measurement and detection method Download PDFInfo
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- CN115264407A CN115264407A CN202210670497.2A CN202210670497A CN115264407A CN 115264407 A CN115264407 A CN 115264407A CN 202210670497 A CN202210670497 A CN 202210670497A CN 115264407 A CN115264407 A CN 115264407A
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- 238000003325 tomography Methods 0.000 title claims abstract description 65
- 238000003384 imaging method Methods 0.000 title claims abstract description 34
- 238000001514 detection method Methods 0.000 title claims abstract description 21
- 238000000691 measurement method Methods 0.000 title description 2
- 238000005259 measurement Methods 0.000 claims abstract description 38
- 238000005260 corrosion Methods 0.000 claims abstract description 21
- 230000007797 corrosion Effects 0.000 claims abstract description 21
- 230000008021 deposition Effects 0.000 claims abstract description 20
- NIXOWILDQLNWCW-UHFFFAOYSA-N acrylic acid group Chemical group C(C=C)(=O)O NIXOWILDQLNWCW-UHFFFAOYSA-N 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims abstract description 14
- 206010039509 Scab Diseases 0.000 claims abstract description 10
- 230000037390 scarring Effects 0.000 claims 1
- 231100000241 scar Toxicity 0.000 abstract description 5
- 235000017166 Bambusa arundinacea Nutrition 0.000 abstract description 4
- 235000017491 Bambusa tulda Nutrition 0.000 abstract description 4
- 241001330002 Bambuseae Species 0.000 abstract description 4
- 235000015334 Phyllostachys viridis Nutrition 0.000 abstract description 4
- 239000011425 bamboo Substances 0.000 abstract description 4
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- 239000000463 material Substances 0.000 description 3
- 208000032544 Cicatrix Diseases 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 239000003345 natural gas Substances 0.000 description 2
- 239000003208 petroleum Substances 0.000 description 2
- 230000037387 scars Effects 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 238000003889 chemical engineering Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- -1 heating Substances 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
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- 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
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- 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
- F17D5/005—Protection or supervision of installations of gas pipelines, e.g. alarm
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/04—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
- G01N27/041—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a solid body
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/22—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating capacitance
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
Abstract
The invention provides a pipeline intelligent imaging detector based on tomography measurement and a detection method, wherein the pipeline intelligent imaging detector based on tomography measurement comprises an acrylic cylindrical barrel and a tomography sensor; the cylindrical section of thick bamboo of ya keli does not have the bottom surface, can open and shut, designs the internal diameter of this section of thick bamboo according to the pipeline external diameter that is surveyed, can wrap up in the outside of pipeline. And the external part of the acrylic cylindrical cylinder is provided with a tomography sensor, the structure of the sensor can be designed according to actual requirements and is connected with a tomography data acquisition unit, and the detection process can be carried out on real-time tomography and offline tomography image reconstruction in a computer. And comparing the reconstructed in-pipe measurement image with the empty field image or the full field image of the standard pipeline, calculating the difference between the two images, and presuming the corrosion or deposition scab condition in the pipe. The invention can visualize the flowing state in the pipe, visualize and early warn the corrosion or deposition scar in the pipe, prevent the trouble in the past and reduce the failure rate of the pipe.
Description
Technical Field
The invention belongs to the technical field of fault detection in a pipeline transportation process, and particularly relates to an intelligent pipeline imaging detector and a detection method based on tomography measurement.
Background
The pipeline transportation has the characteristics of continuous transportation, weather resistance, all weather, high reliability of goods delivery, capability of being used for traveling short ways, large transportation quantity, high environmental benefit, small occupied area, less loss and the like, and is widely applied to the fields of petroleum, natural gas, heating, chemical industry and the like. Pipeline transportation has an irreplaceable status in national economic development such as trains, ships, airplanes and the like. However, as the pipeline is laid too long, the pipeline is divided into an overground pipeline and an underground pipeline, the operation condition of the pipeline is difficult to observe all weather and intrusively, and the pipeline deposition and blockage are invisible, and the abrasion and corrosion are not observable. Therefore, pipeline failures such as corrosion leakage, deposition blockage and the like frequently occur, and great loss is brought to national economy.
The original method for detecting the pipeline fault by sound waves and the like are difficult to adapt to the conditions of long pipeline transportation distance, complex transported substances and the like. Therefore, a method for detecting pipeline failure is also in need of improvement.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent pipeline imaging detector based on tomography measurement and a detection method. The continuous, non-invasive and fast real-time imaging measurement can be carried out in the pipe transportation process. The invention can visualize the flowing state in the pipe, visualize and early warn the corrosion or deposition scar in the pipe, prevent the trouble in the past and reduce the failure rate of the pipe.
In order to achieve the above object, the present invention provides a pipeline intelligent imaging detector based on tomography measurement, including:
an acrylic cylindrical cartridge and a tomographic sensor;
the tomography sensor is coated outside the acrylic cylindrical barrel;
the acrylic cylindrical barrel is used for supporting the tomography sensor;
the tomography sensor is used to detect the overall condition within the conduit.
Optionally, the tomography sensor consists of a plurality of measuring electrodes and three shielding electrodes;
the measuring electrodes are sequentially connected in series through radio frequency wires and are connected with the shielding electrode in parallel; meanwhile, each measuring electrode is independently connected with a radio frequency wire.
Optionally, the length of the measuring electrode is 8-12 cm; the lengths of the shielding electrodes are 1-3cm, 1-3cm and 8-12cm respectively;
the widths of the measuring electrode and the shielding electrode are determined according to the outer diameter of the pipeline, the area of the measuring electrode is required to occupy 80% -90% of the circumference covered by the measuring electrode, and the width of the shielding electrode surrounds the acrylic cylindrical cylinder for a circle.
Optionally, the tomography sensor is a capacitance tomography sensor, a resistance tomography sensor or an electromagnetic tomography sensor.
On the other hand, in order to achieve the above object, the invention provides an intelligent pipeline imaging detection method based on tomography measurement, which comprises the following steps:
obtaining a reconstructed intra-tubular measurement image;
comparing the reconstructed in-pipe measurement image with a standard pipeline empty field image or a standard pipeline full field image to obtain a discrimination index;
and obtaining the corrosion or deposition scar condition in the pipeline based on the discrimination index.
Optionally, the method of obtaining a reconstructed intra-tube measurement image is:
collecting the whole condition in the pipeline in real time;
obtaining real-time, tomographic imaging based on the overall condition within the pipeline;
based on the real-time, tomographic imaging, a reconstructed intra-tubular measurement image is obtained.
Optionally, the calculation formula of the difference index is:
wherein j is the number of gray values in the image; h isiA certain point gray value of the measured image is obtained;
is the gray value of a certain point of the empty field or full field image of the standard pipeline.
Optionally, the method for obtaining the corrosion or deposition scab condition in the pipeline comprises the following steps:
when the degree of distinction is less than 1 and more than or equal to 0.1, the condition that corrosion or deposition scabbing exists in the pipeline can be judged;
and when the discrimination degree is less than 0.1 and greater than 0, judging that the interior of the pipeline is normal.
Compared with the prior art, the invention has the following advantages and technical effects:
(1) The invention discloses an intelligent pipeline imaging detector and a detection method based on tomography measurement, which can carry out imaging detection on the transportation condition in a pipeline in a non-invasive manner under the condition of not damaging the pipeline and can visually display the transportation state in the pipeline.
(2) The invention discloses an intelligent pipeline imaging detector based on tomography measurement and a detection method, wherein the detector can resist corrosion and is suitable for different conditions such as the ground, the underground and the like;
(3) The invention discloses an intelligent pipeline imaging detector and a detection method based on tomography measurement, which can be used for visualizing and early warning corrosion or deposition scars in a pipeline, preventing the pipeline from suffering from the corrosion or deposition scars and reducing the fault rate of the pipeline.
(4) The invention discloses an intelligent pipeline imaging detector based on tomography measurement and a detection method, which can be applied to the field of pipeline transportation of petroleum, natural gas, heating, chemical engineering and the like.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the application, and the description of the exemplary embodiments of the application are intended to be illustrative of the application and are not intended to limit the application. In the drawings:
FIG. 1 is a schematic diagram of a pipeline intelligent imaging detector based on tomography measurement according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of an intelligent pipeline imaging detection method based on tomography measurement according to a second embodiment of the present invention.
In the drawings: 1. an acrylic cylindrical drum; 2. a tomographic sensor; 3. a measuring electrode; 4. the electrodes are shielded.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
Example one
As shown in FIG. 1, the invention provides a pipeline intelligent imaging detector based on tomography measurement, which mainly comprises an acrylic cylindrical barrel 1 and a tomography sensor 2 coated outside the acrylic cylindrical barrel;
cylindrical section of thick bamboo 1 of ya keli is chromatographic imaging sensor 2's bearing structure, does not have the bottom surface, can open and shut, according to the internal diameter of this section of thick bamboo of pipeline external diameter design of being surveyed, can wrap up in the outside of pipeline.
The external of the acrylic cylindrical barrel 1 is provided with a tomography sensor 2, the structure of the tomography sensor 2 can be designed according to actual requirements (such as different diameters of pipelines), the tomography sensor is connected with a tomography data collector, the tomography data collector is directly connected with a computer, and the computer can carry out real-time tomography detection and offline tomography image reconstruction after the detection is finished in the detection process.
The tomography sensor 2 consists of a measuring electrode 3 and a shielding electrode 4, the material is metal with good conductivity, the thickness is 0.1mm, and the number of the measuring electrodes 3 can be set to be 8, 12 or 16. The imaging speed is 70-140 frames/s. The measuring electrodes are connected in series by radio frequency wires and are connected with the shielding electrodes in parallel. Meanwhile, each measuring motor is independently connected with a radio frequency line, and the other end of the radio frequency line is connected with a tomography data acquisition unit.
The length of the measuring electrode 3 in the tomography sensor 2 is 8-12cm, and the lengths of three sub shielding electrodes contained in the shielding electrode 4 are 1-3cm, 1-3cm and 8-12cm respectively.
The widths of the measuring electrode 3 and the shielding electrode 4 in the tomography sensor 2 can be determined according to the outer diameter of the pipeline, the area of the measuring electrode is required to account for 80% -90% of the circumference covered by the measuring electrode, and the width of the shielding electrode 4 can surround the acrylic cylindrical cylinder 1 for one circle.
The tomography sensor 2 may be a capacitance tomography sensor, a resistance tomography sensor or an electromagnetic tomography sensor, depending on the nature of the material in the pipe being measured. When the substance in the tube is non-conductive, using a capacitance tomography sensor; when the substance in the tube is conductive, a resistance tomography sensor is used; when the material in the tube is magnetically conductive, the sensor is imaged by electromagnetic tomography.
The detector can be reused. Meanwhile, a spraying anticorrosive layer can be additionally arranged and fixedly arranged on an underground pipeline, and a data interface is reserved on the ground.
Example two
As shown in fig. 2, the present invention further provides a method for detecting intelligent pipeline imaging based on tomography measurement, which comprises the following steps:
obtaining a reconstructed intra-tubular measurement image;
comparing the reconstructed in-pipe measurement image with a standard pipeline empty field image or a standard pipeline full field image to obtain a discrimination index;
and obtaining the corrosion or deposition scab condition in the pipeline based on the discrimination index.
Further, the method for obtaining the reconstructed intra-tube measurement image comprises the following steps:
collecting the whole condition in the pipeline in real time;
obtaining real-time and tomographic imaging based on the overall condition in the pipeline;
based on real-time, tomographic imaging, a reconstructed intra-tubular measurement image is obtained.
Further, the calculation formula of the distinctness index is:
wherein j is the number of gray scale values in the image; h isiA gray value of a certain point of the measured image;
is the gray value of a certain point of the empty field or full field image of the standard pipeline.
Further, the method for obtaining the corrosion or deposition scab condition in the pipeline comprises the following steps:
the reconstructed in-tube measurement image is compared with the empty field or full field image of the standard pipeline, and the discrimination index X of the two images can be calculated through a discrimination index calculation formulaiBy analyzing the degree of distinction index XiAnd further presume the corrosion or deposition scab condition in the tube. When X is more than or equal to 0.1i<1, the corrosion or deposition of the inner pipe wall can be judged, and the corrosion or deposition can be judged by actually observing the measurement image. If the tube wall is corroded, the tube wall becomes thin in the figure, and if the tube wall is deposited, the tube wall becomes thick in the figure; when X is more than or equal to 0i<When 0.1, the inner pipe wall can be judged to be normal. The system and the method can be used for visualizing and early warning corrosion or deposition scab in the pipeline, prevent the corrosion or deposition scab in the pipeline and reduce the fault rate of the pipeline.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. A pipeline intelligent imaging detector based on tomography measurement is characterized by comprising: the device comprises an acrylic cylindrical barrel (1) and a tomography sensor (2);
the tomography sensor (2) is coated outside the acrylic cylindrical barrel (1);
the acrylic cylindrical barrel (1) is used for supporting the tomography sensor (2);
the tomography sensor (2) is used for detecting the overall condition in the pipeline.
2. The tomography measurement based pipeline intelligent imaging detector according to claim 1, characterized in that the tomography sensor (2) is composed of a plurality of measuring electrodes (3) and three shielding electrodes (4);
the measuring electrodes (3) are sequentially connected in series through radio frequency wires and are connected with the shielding electrodes (4); meanwhile, each measuring electrode is independently connected with a radio frequency wire.
3. The tomography measurement based pipeline intelligent imaging detector of claim 2,
the length of the measuring electrode (3) is 8-12 cm; the lengths of the shielding electrodes (4) are 1-3cm, 1-3cm and 8-12cm respectively;
the widths of the measuring electrode (3) and the shielding electrode (4) are determined according to the outer diameter of the pipeline, the area of the measuring electrode (3) is required to occupy 80% -90% of the circumference covered by the measuring electrode, and the width of the shielding electrode (4) surrounds the acrylic cylindrical cylinder (1) for one circle.
4. The tomography measurement based pipeline intelligent imaging detector according to claim 1, characterized in that the tomography sensor (2) is a capacitance tomography sensor, a resistance tomography sensor or an electromagnetic tomography sensor.
5. A pipeline intelligent imaging detection method based on tomography measurement is characterized by comprising the following steps:
obtaining a reconstructed intra-tubular measurement image;
comparing the reconstructed in-pipe measurement image with a standard pipeline empty field image or a standard pipeline full field image to obtain a discrimination index;
and obtaining the corrosion or deposition scab condition in the pipeline based on the distinguishability index.
6. The intelligent pipeline imaging detection method based on tomography measurement as claimed in claim 5, wherein the method for obtaining the reconstructed in-pipe measurement image is as follows:
collecting the whole condition in the pipeline in real time;
obtaining real-time, tomographic imaging based on the overall condition within the pipeline;
based on the real-time, tomographic imaging, a reconstructed intra-tubular measurement image is obtained.
7. The intelligent pipeline imaging detection method based on tomography measurement as claimed in claim 5, wherein the calculation formula of the discriminative power index is as follows:
wherein j is the number of gray scale values in the image; h isiA certain point gray value of the measured image is obtained;
is the gray value of a certain point of the empty field or full field image of the standard pipeline.
8. The intelligent pipeline imaging detection method based on tomography measurement as claimed in claim 5, wherein the method for obtaining corrosion or deposition scarring condition in the pipeline comprises:
when the discrimination degree is less than 1 and more than or equal to 0.1, the condition that corrosion or deposition scab exists in the pipeline can be judged;
and when the discrimination degree is less than 0.1 and greater than 0, judging that the interior of the pipeline is normal.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1048173A (en) * | 1996-08-05 | 1998-02-20 | Mitsubishi Chem Corp | Apparatus for measuring corrosion of outer face of metallic piping |
| US20040146137A1 (en) * | 2001-05-16 | 2004-07-29 | Herbert Bruder | Method for computer tomography and computer tomography device for carrying out the method |
| CN103439375A (en) * | 2013-08-23 | 2013-12-11 | 华北电力大学 | Integrated type capacitance-ultrasound tomography sensor |
| EP3006924A1 (en) * | 2013-05-29 | 2016-04-13 | Tokyo Metropolitan Industrial Technology Research Institute | Device and method for image reconstruction at different x-ray energies, and device and method for x-ray three-dimensional measurement |
| CN106353373A (en) * | 2016-08-12 | 2017-01-25 | 江苏大学 | Medical salt mist concentration detection device and calculation method |
| CN106556629A (en) * | 2015-09-25 | 2017-04-05 | 中国科学院大连化学物理研究所 | A kind of high temperature capacitor tomography sensor and preparation method thereof |
| CN109580729A (en) * | 2018-11-29 | 2019-04-05 | 哈尔滨理工大学 | A kind of capacitance chromatographic sensor detecting system |
| CN109934885A (en) * | 2019-02-28 | 2019-06-25 | 河南师范大学 | A kind of electrical resistance tomography image rebuilding method that sharpened edge is kept |
| CN110068583A (en) * | 2019-05-05 | 2019-07-30 | 北京航空航天大学 | A kind of multi-modal sensor |
| DE102020100980A1 (en) * | 2020-01-16 | 2021-07-22 | Endress+Hauser SE+Co. KG | Method for determining and / or monitoring at least one property of a medium |
| NL2029084A (en) * | 2021-08-31 | 2021-11-01 | Univ Qingdao Technology | Electrical capacitance tomography sensor calibration method |
| CN113777139A (en) * | 2021-04-02 | 2021-12-10 | 北京航空航天大学 | Gas-liquid two-phase content rate detection method applying ECT with few electrodes |
-
2022
- 2022-06-14 CN CN202210670497.2A patent/CN115264407A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1048173A (en) * | 1996-08-05 | 1998-02-20 | Mitsubishi Chem Corp | Apparatus for measuring corrosion of outer face of metallic piping |
| US20040146137A1 (en) * | 2001-05-16 | 2004-07-29 | Herbert Bruder | Method for computer tomography and computer tomography device for carrying out the method |
| EP3006924A1 (en) * | 2013-05-29 | 2016-04-13 | Tokyo Metropolitan Industrial Technology Research Institute | Device and method for image reconstruction at different x-ray energies, and device and method for x-ray three-dimensional measurement |
| CN103439375A (en) * | 2013-08-23 | 2013-12-11 | 华北电力大学 | Integrated type capacitance-ultrasound tomography sensor |
| CN106556629A (en) * | 2015-09-25 | 2017-04-05 | 中国科学院大连化学物理研究所 | A kind of high temperature capacitor tomography sensor and preparation method thereof |
| CN106353373A (en) * | 2016-08-12 | 2017-01-25 | 江苏大学 | Medical salt mist concentration detection device and calculation method |
| CN109580729A (en) * | 2018-11-29 | 2019-04-05 | 哈尔滨理工大学 | A kind of capacitance chromatographic sensor detecting system |
| CN109934885A (en) * | 2019-02-28 | 2019-06-25 | 河南师范大学 | A kind of electrical resistance tomography image rebuilding method that sharpened edge is kept |
| CN110068583A (en) * | 2019-05-05 | 2019-07-30 | 北京航空航天大学 | A kind of multi-modal sensor |
| DE102020100980A1 (en) * | 2020-01-16 | 2021-07-22 | Endress+Hauser SE+Co. KG | Method for determining and / or monitoring at least one property of a medium |
| CN113777139A (en) * | 2021-04-02 | 2021-12-10 | 北京航空航天大学 | Gas-liquid two-phase content rate detection method applying ECT with few electrodes |
| NL2029084A (en) * | 2021-08-31 | 2021-11-01 | Univ Qingdao Technology | Electrical capacitance tomography sensor calibration method |
Non-Patent Citations (3)
| Title |
|---|
| 周琬婷;姜越;刘石;刘婧;: "基于电学CT技术的多信息融合泥石流监测系统设计及室内模拟", 自然灾害学报, no. 02, 15 April 2017 (2017-04-15) * |
| 孙启国;黄博凯;闫晓丹;: "油气润滑电容层析成像介电常数的计算与优化", 机械研究与应用, no. 01, 28 February 2018 (2018-02-28) * |
| 杨凯: "顶吹气体搅拌气液混合过程电容层析成像及混合特性研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》, no. 4, 15 April 2021 (2021-04-15) * |
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