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CN111024494A - Rock fracture expansion detection system and method based on thermal imaging and image recognition - Google Patents

Rock fracture expansion detection system and method based on thermal imaging and image recognition Download PDF

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Publication number
CN111024494A
CN111024494A CN201911262536.XA CN201911262536A CN111024494A CN 111024494 A CN111024494 A CN 111024494A CN 201911262536 A CN201911262536 A CN 201911262536A CN 111024494 A CN111024494 A CN 111024494A
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rock
thermal
specimen
heat source
expansion
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孙文斌
董法旭
孔令君
张鹏
张士川
陈绍杰
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Shandong University of Science and Technology
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Shandong University of Science and Technology
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/02Details
    • G01N3/06Special adaptations of indicating or recording means
    • G01N3/068Special adaptations of indicating or recording means with optical indicating or recording means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0001Type of application of the stress
    • G01N2203/0003Steady
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0014Type of force applied
    • G01N2203/0016Tensile or compressive
    • G01N2203/0019Compressive
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058Kind of property studied
    • G01N2203/006Crack, flaws, fracture or rupture
    • G01N2203/0062Crack or flaws
    • G01N2203/0066Propagation of crack
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/06Indicating or recording means; Sensing means
    • G01N2203/0641Indicating or recording means; Sensing means using optical, X-ray, ultraviolet, infrared or similar detectors
    • G01N2203/0647Image analysis

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Abstract

本发明提供了一种基于热成像和图像识别的岩石裂隙扩展检测系统及方法,涉及岩石力学试验技术领域,系统包括单轴加载装置、岩石试件、热源、热像仪、支架和计算机,岩石试件置于单轴加载装置的加载底座上,支架和岩石试件相对布置,支架上设置有多个二维滑轨,热像仪和热源安装在二维滑轨上;热像仪在非接触岩石试件的条件下,得到岩石试件应力加载状态下的热成像图像,通过计算机对热成像图像进行分析,提取应力加载状态下的岩石试件裂隙发育情况,得到裂隙扩展三维图和各个时间点的裂隙数据;该装置及方法能够准确确定岩石试件在加载状态下的破碎起点和裂隙扩展路径及过程,并且可用于分析试件降温过程的热像获取岩石近表层的裂隙状况。

Figure 201911262536

The invention provides a system and method for detecting the expansion of rock cracks based on thermal imaging and image recognition, and relates to the technical field of rock mechanics test. The specimen is placed on the loading base of the single-axis loading device, the bracket and the rock specimen are arranged opposite each other, a plurality of two-dimensional slide rails are arranged on the bracket, and the thermal imager and the heat source are installed on the two-dimensional slide rail; Under the condition that the rock specimen is in contact with the rock specimen, the thermal imaging image of the rock specimen under the stress loading state is obtained, and the thermal imaging image is analyzed by the computer, and the crack development of the rock specimen under the stress loading state is extracted, and the three-dimensional image of the crack expansion and the various cracks are obtained. The fracture data at the time point; the device and method can accurately determine the fracture starting point, fracture propagation path and process of the rock specimen under loading, and can be used to analyze the thermal image of the specimen cooling process to obtain the fracture condition of the near-surface layer of the rock.

Figure 201911262536

Description

Rock fracture expansion detection system and method based on thermal imaging and image recognition
Technical Field
The invention relates to the technical field of rock mechanical tests, in particular to a rock test piece fracture expansion detection system and method based on thermal imaging and image recognition.
Background
When the non-confining pressure rock sample is subjected to compression failure under the action of longitudinal pressure, the load borne on a unit area is called the uniaxial compressive strength of the rock. Indoor uniaxial compressive strength tests are usually carried out on uniaxial loading testers, and the properties of a rock after compression until it loses its strength completely can be represented by a load-deformation full-process curve. The load-bearing capacity is reduced after the rock is damaged, mainly caused by the reduction of the effective area due to the sample fracture, and the load deformation overall process curve shows that the rock still has the characteristic of certain load-bearing capacity after the rock is damaged, so that the method has important value in the research of the stability of rock engineering.
The uniaxial compression test is an important means for solving the problem of actual engineering, the observation of the crack expansion of a rock test piece in the uniaxial compression test process is the key for researching the rock property and solving the engineering problem, and the expansion of the crack of the rock test piece is usually detected by adopting infrared detection, CT scanning, acoustic emission and the like in a laboratory. Most of infrared thermal imaging detection only observes the change of the cracks on the surface of the rock test piece, and the development condition of the cracks in the rock test piece cannot be obtained; the application cost of CT scanning is high, acoustic emission is very sensitive to the property of materials, and is easily interfered by electromechanical noise, only the activity and the strength of an acoustic emission source part can be given, and acoustic emission signals are not generated due to defect stabilization, so that the detection accuracy is not high.
Therefore, a simple, efficient, economic and reliable rock fracture expansion detection system and method are provided, the fracture expansion process in the rock test piece loading process is detected, the fracture development of the rock test piece is qualitatively analyzed, and the fracture development characteristics of the near-surface rock test piece are obtained.
Disclosure of Invention
The invention provides a rock fracture expansion detection system and method based on thermal imaging and image recognition, and the specific technical scheme is as follows.
A rock fracture expansion detection system based on thermal imaging and image recognition comprises a single-shaft loading device, a rock test piece, a heat source, a thermal imager, a support and a computer, wherein the rock test piece is arranged on a loading base of the single-shaft loading device, the support and the rock test piece are oppositely arranged, a plurality of two-dimensional slide rails are arranged on the support, the thermal imager and the heat source are installed on the two-dimensional slide rails, and the thermal imager is connected with the computer; the heat source radiates the heat source to the rock test piece, the thermal imager acquires temperature distribution information of the rock surface, and the computer processes the temperature distribution picture information; the support is further provided with a base and a lifting support, and the two-dimensional sliding rail is connected with the lifting support through a rotating disk.
Preferably, the two-dimensional sliding rails are independently arranged and rotate along the lifting support; the two-dimensional slide rail comprises a rotating rod and a connecting rod, and the rotating rod and the connecting rod are connected through a rotating shaft.
Preferably, the dwang and connecting rod are provided with wedge groove along pole length direction, and the block is in the recess of dwang and connecting rod respectively at the pivot both ends.
Preferably, the heat source comprises a lampshade and a bulb, and the base is provided with a telescopic supporting rod.
A rock fracture expansion detection method based on thermal imaging and image recognition utilizes the rock fracture expansion detection system based on thermal imaging and image recognition, and comprises the following steps:
placing a rock test piece on a loading base of a single-shaft loading device, fixing a heat source and a thermal imager on a support, and connecting the thermal imager with a computer;
adjusting the height of the lifting support and the size of a supporting surface of the base, adjusting the relative positions of a heat source and the thermal imager with the rock test piece by the sliding slide rail, and focusing the heat source on the rock test piece;
adjusting the focus of a calibration heat source of the thermal imager, and fixing the power of a plurality of heat sources to stabilize the surface temperature of the test piece;
loading the rock test piece by using the single-shaft loading device, and acquiring thermal image data of rock surface temperature distribution information by using a thermal imager while loading the rock test piece;
step five, closing the heat source, cooling the rock test piece, and recording thermal image data of the rock test piece when the thermal imager is cooled;
processing thermal image data when the rock test piece is loaded by the computer to obtain the change of a fracture expansion three-dimensional graph of the rock test piece along with time;
and step seven, processing the thermal image data of the rock test piece in the cooling process by the computer to obtain the fracture close to the surface of the rock test piece.
Preferably, in the sixth step, the raw format file obtained by the thermal imager is imported into Avizo, subjected to median filtering and binarization, subjected to threshold separation, and displayed to form a fracture expansion three-dimensional graph of the rock specimen at each time point in the loading state.
Preferably, in the seventh step, the raw format file obtained by the thermal imager is imported into Avizo, the JPEG format file is exported to Matlab through median filtering and binarization, and the crack development of the near surface of the rock test piece is obtained through gradient change of gray values of pixel points.
The rock test piece fracture expansion detection system and method based on thermal imaging and image recognition have the advantages that thermal imaging of the rock test piece in a stress loading state is obtained through thermal imaging under the condition of non-contact of the rock test piece, fracture detection data of a plurality of set time points under a continuous loading state are obtained through analysis, damage starting points, fracture expansion paths and development processes of the rock test piece in the loading state can be better analyzed, thermal imaging data in the cooling process of the rock test piece are analyzed after the test piece is heated, fracture development conditions of the near surface of the rock are obtained, qualitative analysis of the uniaxial loading process of the rock test piece is achieved, and the fracture development characteristics of the rock test piece are convenient to study.
Drawings
FIG. 1 is a schematic diagram of a rock fracture propagation detection system based on thermal imaging and image recognition;
FIG. 2 is a front view of the stent structure;
FIG. 3 is a schematic view of a stent structure;
FIG. 4 is a top view of a rock fracture propagation detection system;
FIG. 5 is a side view of a rock fracture propagation detection system;
FIG. 6 is a schematic view of a base structure;
FIG. 7 is a schematic diagram of a two-dimensional slide rail configuration;
FIG. 8 is a schematic flow chart of a rock fracture propagation detection method based on thermal imaging and image recognition;
in the figure: 1-uniaxial loading means; 2-a rock test piece; 3-a heat source; 4-a thermal imager; 5-a bracket; 51-a two-dimensional slide rail; 511-rotating rods; 512-connecting rod; 513-a rotating shaft; 52-a base; 53-lifting support; 54-rotating disc; 6-computer.
Detailed Description
Referring to fig. 1 to 8, the rock specimen fracture propagation detection system and method based on thermal imaging and image recognition provided by the invention have the following specific embodiments.
A rock fracture expansion detection system based on thermal imaging and image recognition specifically comprises a single-shaft loading device 1, a rock test piece 2, a heat source 3, a thermal imager 4, a support 5 and a computer 6. The uniaxial loading device 1 can perform uniaxial compression on the rock test piece, the heat source 3 mainly provides heat and can focus the heat, the thermal imager 4 observes the rock test piece to obtain a thermal image, the support 5 is used for supporting the heat source and the thermal imager, the relative position of the device and the rock test piece is adjusted, and the computer 6 is used for processing the thermal image to obtain the fracture development condition of the rock test piece. The thermal imaging is carried out under the condition of non-contact rock test pieces, the thermal imaging of the rock test pieces in a stress loading state is obtained, and the fracture detection data of a plurality of set time points in a continuous loading state are obtained through analysis, so that the damage starting points of the rock test pieces in the loading state, the expansion paths of the fractures and the development process can be better analyzed. The overall structure of the system realizes the detection of the rock test piece crack expansion, thereby providing a simple, convenient, efficient, economic and reliable rock crack expansion detection means and providing convenience for the research of the properties of the rock test piece.
On the loading base of unipolar loading device 1 was arranged in to the rock test piece, exerted pressure to the rock test piece through pressure head and base, support 5 and rock test piece 2 mutual disposition are provided with a plurality of two-dimensional slide rails on the support 5 to conveniently adjust the relative position with the test piece, thermal imaging system 4 and heat source 3 install on two-dimensional slide rail, thereby make the test process nimble more convenient, thermal imaging system 4 and computer 6 link to each other, make things convenient for the transmission of data. The heat source 3 radiates a heat source to the rock test piece, the thermal imager 4 obtains temperature distribution information of the rock surface, and the computer 6 processes the temperature distribution picture information. The support 5 is further provided with a base 52 and a lifting support 53, the base ensures the stability of the support, the lifting support is convenient for height adjustment, a two-dimensional sliding rail 51 is connected with the lifting support through a rotating disk 54, the two-dimensional sliding rail ensures that the positions of the thermal imager and the heat source are adjusted on a plane, the height is adjusted by combining the lifting support 53, and the three-dimensional adjustment of the thermal imager and the heat source is realized, so that the detection is more convenient.
The two-dimensional sliding rails 51 are independently arranged, so that the two-dimensional sliding rails can be independently adjusted, the heat source 3 and the thermal imager 4 are used according to test requirements, the two-dimensional sliding rails can rotate along the lifting support 53, and the two-dimensional sliding rails and the lifting support can be sleeved with each other to be conveniently rotated on the lifting support. The two-dimensional slide rail comprises a rotating rod and a connecting rod, the rotating rod 511 is connected with the connecting rod 512 through a rotating shaft, and the rotating rod 511 is connected to the lifting support 53. Dwang and connecting rod are provided with the wedge recess along pole length direction, and pivot 513 both ends block respectively in the recess of dwang and connecting rod, and two parts can rotate relatively about the pivot 513 to can realize the flexible rotation of dwang and connecting rod of two-dimensional slide rail.
The heat source 3 comprises a lampshade and a bulb, the bulb uses a light source capable of condensing light and heat, the lampshade enables the light source to better condense light and heat, the radiation direction of the heat source can be adjusted to be condensed around the rock test piece, the power of the heat source can be electrically adjusted, and the fixed power can be kept for irradiating the rock test piece.
The base 52 is provided with a plurality of telescopic supporting rods which can be arranged around the bottom end of the lifting support, so that the supporting area can be adjusted, and the stability of the support is ensured.
A rock fracture expansion detection method based on thermal imaging and image recognition utilizes the rock fracture expansion detection system based on thermal imaging and image recognition, and comprises the following specific steps:
the rock test piece is placed on a loading base of a single-shaft loading device, a heat source and a thermal imager are fixed on a support, and the thermal imager is connected with a computer. The size of the rock test piece is selected according to test requirements, the surface of the rock test piece is guaranteed to be smooth as much as possible, the thermal imager is connected with the computer through a data line, and stable data transmission between the computer and the thermal imager is guaranteed.
And step two, adjusting the height of the lifting support and the size of the supporting surface of the base, adjusting the relative positions of a heat source and the thermal imager with the rock test piece by the sliding slide rail, and focusing the heat source on the rock test piece. And the heat source is focused near the test piece by adjusting the height of the lifting support and the two-dimensional slide rail.
And step three, adjusting the focus of the thermal imager calibration heat source, and fixing the power of a plurality of heat sources to stabilize the surface temperature of the test piece.
And step four, loading the rock test piece by the single-shaft loading device, and acquiring thermal image data of the temperature distribution information of the surface of the rock by the thermal imager while loading the rock test piece.
And step five, closing all or part of the heat sources to cool the rock test piece, recording thermal image data of the rock test piece during cooling by the thermal imager, and transmitting the thermal image to the computer by the thermal imager.
And step six, processing the thermal image data when the rock test piece is loaded by the computer to obtain the change of the fracture expansion three-dimensional graph of the rock test piece along with time. Specifically, a raw format file obtained by a thermal imager is imported into Avizo, threshold value separation is carried out after median filtering and binaryzation, so that the fracture is displayed more clearly, and a fracture expansion three-dimensional graph of the rock test piece at each time point in a loading state is displayed by a computer, so that the damage starting point of the rock test piece in the loading state, the fracture expansion path and the development process can be better analyzed.
And step seven, processing the thermal image data of the rock test piece in the cooling process by the computer to obtain the fracture close to the surface of the rock test piece. Specifically, a raw format file obtained by a thermal imager is imported into Avizo, a JPEG format file is exported to Matlab through median filtering and binarization, and crack development of the near surface of the rock test piece is obtained through gradient change of gray values of pixel points; by analyzing thermal imaging data in the cooling process of the rock test piece, the crack development condition of the near-surface rock is obtained, the qualitative analysis of the uniaxial loading process of the rock test piece is realized, and the research on the crack development characteristic of the rock test piece is convenient
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.

Claims (7)

1.一种基于热成像和图像识别的岩石裂隙扩展检测系统,其特征在于,包括单轴加载装置、岩石试件、热源、热像仪、支架和计算机,所述岩石试件置于单轴加载装置的加载底座上,支架和岩石试件相对布置,支架上设置有多个二维滑轨,热像仪和热源安装在二维滑轨上,热像仪和计算机相连;所述热源向岩石试件辐射热源,热像仪获取岩石表面温度分布信息,计算机对温度分布图片信息进行处理;所述支架还设置有底座、升降支架,二维滑轨通过旋转盘和升降支架连接。1. a rock fracture expansion detection system based on thermal imaging and image recognition, is characterized in that, comprises uniaxial loading device, rock specimen, heat source, thermal imager, support and computer, described rock specimen is placed in uniaxial On the loading base of the loading device, the bracket and the rock specimen are arranged opposite each other, a plurality of two-dimensional slide rails are arranged on the bracket, the thermal imager and the heat source are installed on the two-dimensional slide rail, and the thermal imager and the computer are connected; The rock specimen radiates heat source, the thermal imager obtains the temperature distribution information of the rock surface, and the computer processes the temperature distribution picture information; the support is also provided with a base and a lifting support, and the two-dimensional slide rail is connected by a rotating disk and the lifting support. 2.根据权利要求1所述的一种基于热成像和图像识别的岩石裂隙扩展检测系统,其特征在于,所述多个二维滑轨独立设置,二维滑轨沿升降支架转动;二维滑轨包括转动杆和连接杆,转动杆和连接杆之间通过转轴连接。2 . The system for detecting the expansion of rock cracks based on thermal imaging and image recognition according to claim 1 , wherein the plurality of two-dimensional slide rails are independently arranged, and the two-dimensional slide rails rotate along the lifting bracket; 2 . The slide rail includes a rotating rod and a connecting rod, and the rotating rod and the connecting rod are connected by a rotating shaft. 3.根据权利要求2所述的一种基于热成像和图像识别的岩石裂隙扩展检测系统,其特征在于,所述转动杆和连接杆沿杆长度方向设置有楔形凹槽,转轴两端分别卡合在转动杆和连接杆的凹槽内。3. A rock crack expansion detection system based on thermal imaging and image recognition according to claim 2, wherein the rotating rod and the connecting rod are provided with wedge-shaped grooves along the length of the rod, and the two ends of the rotating shaft are respectively clamped. fit in the groove of the rotating rod and the connecting rod. 4.根据权利要求1所述的一种基于热成像和图像识别的岩石裂隙扩展检测系统,其特征在于,所述热源包括灯罩和灯泡,所述底座上设置有伸缩支撑杆。4 . The system for detecting the expansion of rock fissures based on thermal imaging and image recognition according to claim 1 , wherein the heat source comprises a lampshade and a light bulb, and a telescopic support rod is provided on the base. 5 . 5.一种基于热成像和图像识别的岩石裂隙扩展检测方法,其特征在于,利用权利要求1至4任一项所述的一种基于热成像和图像识别的岩石裂隙扩展检测系统,步骤包括:5. A method for detecting the expansion of rock cracks based on thermal imaging and image recognition, characterized in that, using the system for detecting expansion of rock cracks based on thermal imaging and image recognition according to any one of claims 1 to 4, the steps include : 步骤一.将岩石试件置于单轴加载装置的加载底座上,在支架上固定热源和热像仪,热像仪连接计算机;Step 1. Place the rock specimen on the loading base of the uniaxial loading device, fix the heat source and the thermal imager on the bracket, and connect the thermal imager to the computer; 步骤二.调整升降支架的高度和底座的支撑面大小,滑动滑轨调整热源和热像仪与岩石试件的相对位置,热源聚焦至岩石试件上;Step 2. Adjust the height of the lifting bracket and the size of the support surface of the base, slide the slide rail to adjust the relative position of the heat source and the thermal imager and the rock specimen, and focus the heat source on the rock specimen; 步骤三.调整热像仪校准热源的焦点,固定多个热源功率,使试件表面温度稳定;Step 3. Adjust the focus of the thermal imager to calibrate the heat source, and fix the power of multiple heat sources to stabilize the surface temperature of the specimen; 步骤四.单轴加载装置对岩石试件进行加载,对岩石试件加载的同时通过热像仪获取岩石表面温度分布信息的热像数据;Step 4. The uniaxial loading device loads the rock specimen, and while loading the rock specimen, the thermal image data of the temperature distribution information on the rock surface is obtained through the thermal imager; 步骤五.关闭热源,岩石试件降温,热像仪记录岩石试件降温时的热像数据;Step 5. Turn off the heat source, cool the rock specimen, and record the thermal image data when the rock specimen is cooled; 步骤六.计算机对岩石试件加载时的热像数据进行处理,得到岩石试件的裂隙扩展三维图随时间的变化;Step 6. The computer processes the thermal image data when the rock specimen is loaded, and obtains the change of the three-dimensional image of the crack expansion of the rock specimen with time; 步骤七.计算机对岩石试件降温过程的热像数据进行处理,得到岩石试件近表面的裂隙。Step 7. The computer processes the thermal image data of the cooling process of the rock specimen to obtain the near-surface fissures of the rock specimen. 6.根据权利要求5所述的一种基于热成像和图像识别的岩石裂隙扩展检测方法,其特征在于,所述步骤六中,热成像仪得到的raw格式文件导入Avizo,经过中值滤波和二值化后进行阀值分隔,显示裂隙形成岩石试件在加载状态下各个时间点的裂隙扩展三维图。6. The method for detecting the expansion of rock fissures based on thermal imaging and image recognition according to claim 5, wherein in the step 6, the raw format file obtained by the thermal imager is imported into Avizo, and subjected to median filtering and Threshold separation is performed after binarization to display the three-dimensional image of the fracture expansion of the fracture-forming rock specimen at each time point under loading. 7.根据权利要求5所述的一种基于热成像和图像识别的岩石裂隙扩展检测方法,其特征在于,所述步骤七中,热成像仪得到的raw格式文件导入Avizo,经过中值滤波和二值化,导出JPEG格式文件至Matlab,通过像素点灰度值梯度变化获取岩石试件近表面的裂隙发育。7. The method for detecting the expansion of rock fissures based on thermal imaging and image recognition according to claim 5, wherein in the step 7, the raw format file obtained by the thermal imager is imported into Avizo, and subjected to median filtering and Binarize, export the JPEG file to Matlab, and obtain the fracture development on the near surface of the rock specimen through the gradient change of the gray value of the pixel point.
CN201911262536.XA 2019-12-11 2019-12-11 Rock fracture expansion detection system and method based on thermal imaging and image recognition Pending CN111024494A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112781984A (en) * 2020-12-25 2021-05-11 浙江工业大学 Multifunctional thermal imaging fatigue test monitor
CN114609017A (en) * 2022-05-11 2022-06-10 西南交通大学 A device for measuring the distribution characteristics of open pores in the permeable base of open-graded water-stabilized crushed stone permeable base
CN115290431A (en) * 2022-08-05 2022-11-04 西南石油大学 Apparatus and method for observing thermal damage of rock mass and testing permeability under confining pressure

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0033497A2 (en) * 1980-02-04 1981-08-12 Siemens Aktiengesellschaft Stand for an X-ray imaging device to be inserted below the patients' positioning plate of an X-ray investigation apparatus
CN103983514A (en) * 2014-05-22 2014-08-13 中国矿业大学 Coal rock fracture development infrared radiation monitoring test method
CN203948885U (en) * 2014-05-16 2014-11-19 天津金海河科技有限公司 A kind of The Cloud Terrace swinging mounting
CN106370675A (en) * 2015-07-21 2017-02-01 中国矿业大学(北京) Industrial CT scanning test system
CN206120413U (en) * 2016-07-04 2017-04-26 何玉成 CT intervenes laser guiding device of operation
CN109696354A (en) * 2018-12-19 2019-04-30 昆明理工大学 A kind of crack rock failure evolvement process intermediate infrared radiation monitoring device and method
CN109900741A (en) * 2019-04-03 2019-06-18 哈尔滨商业大学 Infrared thermal wave nondestructive testing device and method considering the rising edge and falling edge of pulse thermal excitation signal

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0033497A2 (en) * 1980-02-04 1981-08-12 Siemens Aktiengesellschaft Stand for an X-ray imaging device to be inserted below the patients' positioning plate of an X-ray investigation apparatus
CN203948885U (en) * 2014-05-16 2014-11-19 天津金海河科技有限公司 A kind of The Cloud Terrace swinging mounting
CN103983514A (en) * 2014-05-22 2014-08-13 中国矿业大学 Coal rock fracture development infrared radiation monitoring test method
CN106370675A (en) * 2015-07-21 2017-02-01 中国矿业大学(北京) Industrial CT scanning test system
CN206120413U (en) * 2016-07-04 2017-04-26 何玉成 CT intervenes laser guiding device of operation
CN109696354A (en) * 2018-12-19 2019-04-30 昆明理工大学 A kind of crack rock failure evolvement process intermediate infrared radiation monitoring device and method
CN109900741A (en) * 2019-04-03 2019-06-18 哈尔滨商业大学 Infrared thermal wave nondestructive testing device and method considering the rising edge and falling edge of pulse thermal excitation signal

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112781984A (en) * 2020-12-25 2021-05-11 浙江工业大学 Multifunctional thermal imaging fatigue test monitor
CN114609017A (en) * 2022-05-11 2022-06-10 西南交通大学 A device for measuring the distribution characteristics of open pores in the permeable base of open-graded water-stabilized crushed stone permeable base
CN115290431A (en) * 2022-08-05 2022-11-04 西南石油大学 Apparatus and method for observing thermal damage of rock mass and testing permeability under confining pressure

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