CN111812136B - TBM (tunnel boring machine) carrying type mineral composition detection method, advance geology prediction method and advance geology prediction system - Google Patents
TBM (tunnel boring machine) carrying type mineral composition detection method, advance geology prediction method and advance geology prediction system Download PDFInfo
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Abstract
The invention belongs to the field of rock mineral component analysis, and provides a TBM (tunnel boring machine) carrying type mineral component detection method, an advanced geological prediction method and a system in order to solve the problem that the type and content of minerals in tunnel surrounding rocks are difficult to detect in real time in the TBM tunneling process. The TBM carrying type mineral component detection method comprises the steps of self-adaptively selecting a surrounding rock test area in a TBM tunneling tunnel; receiving the mineral element components and contents of surrounding rocks in a surrounding rock test area; and obtaining the types of minerals by using a standard mineral calculation method, and determining the rock types and the mineral content intervals by combining a pre-constructed element-mineral-rock database.
Description
Technical Field
The invention belongs to the field of rock mineral composition analysis, and particularly relates to a TBM (tunnel boring machine) carrying type mineral composition detection method, and an advanced geological prediction method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In the process of rock tunnel construction, the rock strength has direct influence on the construction progress, safety and the like of engineering, and the strength of the rock which is a mineral serving as a rock composition is an important index for evaluating the strength of surrounding rocks. Therefore, the mineral composition of the rock is detected in real time in the tunneling process, and a basis can be provided for parameter setting of a Tunnel Boring Machine (TBM). However, in the construction process of the TBM, excavated surrounding rock needs to be supported in a short time, and the mineral composition test must be completed before supporting, otherwise, the supporting material will affect the test result, so that a large test workload is contradicted with a short time.
The TBM has a complex structure and longer overall length, so that the part of the excavated space which is not supported is almost completely filled by the TBM, and meanwhile, a ventilation pipeline, a rock slag conveyor belt and the like exist, so that the working space reserved for element testing equipment or personnel is very limited. Meanwhile, the unsupported part has serious risks of collapse and water and mud outburst, and is very dangerous for traditional manual operation.
In the aspect of element detection equipment, the XRF (X Ray Fluorescence spectroscopy) technology can realize miniaturization and portability of the equipment, and the result is more accurate in the aspect of rock element detection, but the problem of inaccurate content of minerals for element inversion exists in the prior art.
Since the minerals constituting the rock are different in composition, shape and size and in arrangement in the interior of the rock, the rock elements are highly non-uniform in a small scale range. Meanwhile, the rock mass is composed of rocks and structural planes, and in the underground deep tunnel tunneling region, due to the existence of phenomena such as penetration of rock pulp, dislocation of strata and the like caused by movement of a geological structure, different lithologies are changed suddenly in the same space, and the rock mass has high heterogeneity in a mesoscale range. This heterogeneity creates difficulties in defining the same lithology range for the elemental detection method, as well as difficulties in subsequent mineral sequence feature establishment and advanced geological prediction.
Disclosure of Invention
In order to solve the above problems, a first aspect of the present invention provides a TBM-mounted mineral composition detection method, which is capable of adaptively selecting a surrounding rock test area in a TBM tunneling tunnel, and automatically detecting surrounding rock mineral compositions in real time along with a tunnel excavation process.
In order to achieve the purpose, the invention adopts the following technical scheme:
a TBM-mounted mineral component detection method includes:
self-adaptively selecting a surrounding rock test area in a TBM tunneling tunnel;
receiving the mineral element components and contents of surrounding rocks in a surrounding rock test area;
and obtaining the types of minerals by using a standard mineral calculation method, and determining the rock types and the mineral content intervals by combining a pre-constructed element-mineral-rock database.
The second aspect of the invention provides an advanced geological prediction method, which can follow the mileage of a tunnel tunneled by a TBM (tunnel boring machine), and adopts the TBM-carried mineral component detection method to detect minerals, so that a relevant data base is provided for advanced geological prediction, and the stability and the safety of the tunnel tunneled by the TBM are improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method of advanced geological prediction comprising:
tunneling the mileage of the tunnel along with the TBM, and performing mineral detection by adopting the TBM carrying type mineral component detection method;
and constructing mineral sequence characteristics of the whole tunnel to realize advanced geological prediction.
The invention provides a TBM carrying type XRF element testing system, which can adaptively select a surrounding rock testing area in a TBM tunneling tunnel and can automatically detect the mineral composition of the surrounding rock in real time along with the tunnel excavation process.
A TBM carrying type XRF element testing system comprises a control and data processing terminal and an XRF detector, wherein the XRF detector is carried on a TBM and is used for detecting mineral element components and content of surrounding rocks in a testing area;
the control and data processing terminal includes:
the test area selection module is used for adaptively selecting a surrounding rock test area in the TBM tunneling tunnel;
the data receiving module is used for receiving the mineral element components and contents of the surrounding rocks in the surrounding rock testing area;
and the rock judgment module is used for obtaining the types of the minerals by using a standard mineral calculation method and determining the types of the rocks and the mineral content intervals by combining a pre-constructed element-mineral-rock database.
The invention provides a leading geology forecasting system, which can follow the mileage of a tunnel tunneled by a TBM (tunnel boring machine), and adopts the TBM-carried type mineral component detection method to detect minerals, so that a relevant data base is provided for leading geology, and the stability and the safety of the tunnel tunneled by the TBM are improved.
A look-ahead geological prediction system comprising:
the mineral detection module is used for detecting minerals by adopting the TBM-carried mineral composition detection method according to any one of claims 1 to 5 along with the driving tunnel mileage of the TBM;
and the advance geological prediction module is used for constructing mineral sequence characteristics of the whole tunnel so as to realize advance geological prediction.
Compared with the prior art, the invention has the beneficial effects that:
1) the method adopts TBM for carrying, and can detect the mineral components of the surrounding rock in real time along with the tunnel excavation process.
2) According to the method, the surrounding rock test area in the TBM tunneling tunnel is selected in a self-adaptive manner, different rock types can be accurately determined, and further the whole-course lithology division is obtained;
3) according to the invention, mineral detection is carried out by adopting a TBM carrying type mineral component detection method along with the mileage of the TBM tunneling tunnel, so that the mineral sequence characteristics of the whole tunnel are obtained, advanced geological forecast is realized, and the stability and the safety of the TBM tunneling tunnel are improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flow chart of a TBM-mounted mineral composition detection method according to an embodiment of the present invention.
FIG. 2 is a front view of the working state of a TBM-mounted mineral composition detection system in an embodiment of the present invention;
FIG. 3 is a front view of a robotic arm in an embodiment of the present invention;
FIG. 4 is a front view of a TBM piggyback mineral composition detection system in an embodiment of the present invention;
FIG. 5 is a sectional view of a TBM-equipped mineral composition detecting system according to an embodiment of the present invention;
fig. 6 is a front view of a control and data processing terminal according to an embodiment of the present invention.
In the figure: the system comprises a mechanical arm 1, an element detection system 2, a control and data processing terminal 3, a base 4, a first joint 5, a second joint 6, a third joint 7, a fourth joint 8, a pressure sensor 9, an XRF detector 10, a camera 11, a control circuit 12, a protective cover 13, a clamping groove 14, an ultrasonic distance sensor 15, a mechanical arm control box 16 and a computer 17.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
In the present invention, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only terms of relationships determined for convenience of describing structural relationships of the parts or elements of the present invention, and are not intended to refer to any parts or elements of the present invention, and are not to be construed as limiting the present invention.
In the present invention, terms such as "fixedly connected", "connected", and the like are to be understood in a broad sense, and mean either a fixed connection or an integrally connected or detachable connection; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be determined according to specific situations by persons skilled in the relevant scientific or technical field, and are not to be construed as limiting the present invention.
Example one
Fig. 1 shows a flow chart of a TBM-mounted mineral composition detection method according to the present embodiment.
As shown in fig. 1, the TBM-mounted mineral component detection method according to the present embodiment includes:
s101: and self-adaptively selecting a surrounding rock test area in the TBM tunneling tunnel.
The specific implementation of the selected test area is as follows:
1) selecting a test area in a self-adaptive mode, taking a manually input point to be tested as an original point, expanding the area to be tested to the periphery in a polygonal grid mode, and taking polygonal grid points as new test points in the expansion process.
2) Due to the heterogeneity of rock mineral distribution, the average element content tends to be stable when the test is carried out in the same lithologic region along with the gradual expansion of the test range. When the area is exceeded, namely other lithologies are tested, the average content of the elements begins to change until a new approach value appears. The change point may be taken as a boundary point of the homogeneous lithologic region. Thereby selecting a test area
3) After the test area is selected, the side length of a smaller polygon can be automatically selected to perform the point supplementing test according to the density degree of the points in the window, so that the test data volume is increased and the accuracy is ensured.
S102: and receiving the mineral element components and contents of the surrounding rocks in the surrounding rock test area.
Specifically, measurement is generally performed using an XRF detector mounted on a TBM.
S103: and obtaining the types of minerals by using a standard mineral calculation method, and determining the rock types and the mineral content intervals by combining a pre-constructed element-mineral-rock database.
The specific implementation method comprises the following steps:
1) and establishing a database in the tunnel construction area. Through the work of collecting surface samples in a construction area, collecting drill cores in engineering exploration and the like, rock samples in the construction area are obtained, the components and the content of elements and minerals are detected, and an element-mineral-rock database applicable to the area is established.
2) The method comprises the steps of obtaining element components and content through testing in a tunnel, obtaining the type of minerals by using a standard mineral calculation method, determining the type of rocks by combining a database, and determining a mineral content interval.
3) And performing corresponding matching search through the mineral content interval and the mineral types and contents obtained by testing. If the matched rock type is not found in the pre-constructed element-mineral-rock database, the rock type is artificially judged, and the current mineral element components and content, the corresponding mineral type and rock type are stored in the element-mineral-rock database, so that the number of the databases is increased, and the accuracy is improved.
Example two
The advanced geological prediction method of the embodiment comprises the following steps:
s201: tunneling the mileage of the tunnel along with the TBM, and performing mineral detection by adopting the TBM carrying type mineral component detection method in the embodiment I;
s202: and constructing mineral sequence characteristics of the whole tunnel to realize advanced geological prediction.
According to the embodiment, the mileage of the TBM tunneling tunnel can be followed, and the mineral detection is performed by adopting the TBM carrying type mineral component detection method, so that a relevant data base is provided for advance geology, and the stability and the safety of the TBM tunneling tunnel are improved.
EXAMPLE III
As shown in fig. 2, the present embodiment provides a TBM-loaded XRF elemental testing system, which includes a control and data processing terminal and an XRF detector, wherein the XRF detector is loaded on a TBM, and the XRF detector is used for detecting the mineral element composition and content of surrounding rock in a testing area;
the control and data processing terminal includes:
the test area selection module is used for adaptively selecting a surrounding rock test area in the TBM tunneling tunnel;
the data receiving module is used for receiving the mineral element components and contents of the surrounding rocks in the surrounding rock testing area;
and the rock judgment module is used for obtaining the types of the minerals by using a standard mineral calculation method and determining the types of the rocks and the mineral content intervals by combining a pre-constructed element-mineral-rock database.
Specifically, a supporting shoe of the TBM is connected with a mechanical arm 1; the mechanical arm 1 is a folding arm type and comprises at least two joints; an element detection system 2 is fixed at the tail end of the mechanical arm, a pressure sensor 9 is further arranged at the tail end of the mechanical arm 1, and the pressure sensor 9 is used for detecting the fitting condition of the element detection system 2 and the tunnel surrounding rock and feeding back the fitting condition to the control and data processing terminal 3; and the control and data processing terminal 3 is used for controlling the mechanical arm 1 to drive the element detection system 2 to move to the position of the to-be-tested point, receiving the element components of the attached tunnel surrounding rock detected by the element detection system, and further performing the reverse performance of the mineral types and the mineral content.
As shown in fig. 3, in order to meet the requirement of flexible work, the mechanical arm 1 at least comprises four joints, and the overall motion dimension is three-dimensional. The mechanical arm 1 of the embodiment comprises a base 4, a first joint 5, a second joint 6, a third joint 7 and a fourth joint 8 which are connected in sequence; the element detection system 2 is fixed at the tail end of a fourth joint 8;
the movement mode of the first joint 5 is horizontal rotation, the rotation angle is 360 degrees, and the working space of the mechanical arm is ensured to cover one circle in the horizontal direction;
the motion mode of the second joint 6 is vertical rotation, and the working ranges of the mechanical arm in the vertical direction and the horizontal direction are increased;
the third joint 7 moves in a vertical rotation mode and a self-rotation mode along the joint axis, and the self-rotation angle along the joint axis is 360 degrees; the working range of the mechanical arm is increased, and meanwhile, the tail end of the mechanical arm can move flexibly.
The fourth joint 8 rotates along the third joint rotation angle and rotates along the joint axis, and the rotation angle along the joint axis is 360 degrees. Because the third joint and the fourth joint can rotate, the movement with larger angle and more dimensionalities can be realized at the tail end of the mechanical arm 1 after the third joint and the fourth joint are matched with each other so as to finely adjust the element detection system.
It should be noted here that the types of the mechanical arms are many, and the mechanical arms may also adopt other structural forms, but the joints are increased, the movement angles are increased, and the movement dimensions are increased, so that the mechanical arms are more flexible.
In fig. 3, the first joint 5 is mounted on a base 4, and the base 4 is fixed on a shoe of the TBM. In a specific implementation, driving mechanisms are installed at the base 4, the first joint 5, the second joint 6, the third joint 7 and the fourth joint 8, the driving mechanisms are connected with the control and data processing terminal 3, and the control and data processing terminal 3 is used for controlling the driving mechanisms to move to drive the next joint to move.
Specifically, the driving mechanism comprises a speed reducer and a motor, and is used for controlling the action of the next joint connected with the driving mechanism.
In specific implementation, each joint of the mechanical arm is provided with a position sensor, and the position sensors are used for detecting the position of the mechanical arm in real time and feeding the position back to the control and data processing terminal 3.
As shown in fig. 4 and 5, the element detection system 2 includes a box body, and an XRF element detector 10 is disposed in the box body and used for detecting element components of the tunnel surrounding rock; one end of the box body, which is close to the rock surface, is provided with a camera 11 which is used for observing the conditions in the tunnel and guiding the action direction of the mechanical arm; the control and processing circuit 12 is arranged inside the box body and used for transmitting data obtained by each instrument to the control and data processing terminal 3.
In fig. 4, the element detection system 2 is externally wrapped with a protective cover 13 for preventing rockfall injuries.
Wherein, the end of the protective cover is provided with a clamping groove 14 for increasing the protection of the protective cover in the non-working state.
In the specific embodiment, one end of the box body close to the rock surface is provided with an ultrasonic distance sensor 15, and the ultrasonic distance sensor 15 is used for detecting the vertical degree of the detection head and the rock surface.
As shown in fig. 6, the control and data processing terminal 3 is located in the TBM main control room and includes a control box 16 and a computer 17. The mechanical arm 1 is connected with a control box 16 through a cable, and a power line and a data transmission line are embedded in the cable. The control box 16 controls the movement of the mechanical arm 1 by receiving an instruction sent by a computer end, and the computer 17 is used for receiving XRF, data of the ultrasonic detector and images of a camera.
The computer 17 is also used for sending instructions to the control box to control the movement of the mechanical arm 1 and the element detection system 2 so as to select a test area for testing; the computer 17 is also used for calculating the mineral types and the mineral contents by using an improved mineral inversion method based on the surrounding rock element components and the surrounding rock element contents acquired by the element detection system.
The detection process of the TBM-mounted mineral composition detection in this embodiment is:
setting the coordinate position of a point to be tested;
starting the mechanical arm 1, and controlling the mechanical arm 1 to automatically move to a position near a point to be measured and not to be attached through the control and data processing terminal 3;
controlling the mechanical arm 1 to automatically move to enable the element detection system to approach the rock surface to be detected until the pressure sensor 9 reads, enabling the element detection system to be attached to the rock surface, enabling the XRF element detector 10 to enter an ore mode, starting to detect the surrounding rock element components and waiting for completion, and returning data to the control and data processing terminal 3;
and (4) carrying out mineral species analysis on the detected mineral element components to obtain the mineral species and the mineral content, completing a test period at this moment, and continuing to start the next test period.
The working method of the TBM-equipped mineral composition detection system of the present embodiment is described in detail below with the combination of the robot arm 1, the element detection system 2, and the control and data processing terminal 3, and based on the pressure sensor 9, the ultrasonic distance sensor 15, the adaptive test area selection method, and the improved standard mineral calculation method:
the method comprises the following steps: setting the coordinate position of a rock point to be tested;
step two: starting the mechanical arm 1, and controlling the mechanical arm 1 to automatically move to a position near a point to be measured and not to be attached through the control and data processing terminal 3;
step three: the mechanical arm 1 automatically carries out fine adjustment through the ultrasonic distance sensor 15, so that an X-ray test port of the element detection system 2 is perpendicular to a rock surface to be detected; the mechanical arm 1 automatically moves to enable the element detection system 2 to be close to the rock surface to be detected, and the process is kept vertical until the pressure sensor 9 reads;
step four: and starting the XRF detector 10, entering an ore mode, starting to detect the surrounding rock element components, waiting for completion, and transmitting data to the control and data processing terminal 3.
Step five: and the mechanical arm 1 is self-adaptive to select a test area based on the test points determined in the step one, and the steps two, three and four are repeated for all the test points in the area until the test is completed.
Step six: and performing mineral inversion on all data by adopting an improved standard mineral calculation method. At this point, a test cycle is completed and the next test cycle is continued.
The XRF mineral inversion-based TBM-carried surrounding rock mineral composition detection system of this embodiment manually inputs the coordinates of the position to be measured if manual control is required to perform the supplementary measurement on the individual point, without executing step five or step six.
Example four
The present embodiment also provides a leading geology forecasting system, which includes:
the mineral detection module is used for tunneling the mileage of the tunnel along with the TBM and detecting minerals by adopting the TBM carrying type mineral component detection method;
and the advance geological prediction module is used for constructing mineral sequence characteristics of the whole tunnel so as to realize advance geological prediction.
According to the embodiment, the mileage of the TBM tunneling tunnel can be followed, and the mineral detection is performed by adopting the TBM carrying type mineral component detection method, so that a relevant data base is provided for advance geology, and the stability and the safety of the TBM tunneling tunnel are improved.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (11)
1. A TBM-mounted mineral component detection method is characterized by comprising:
the method comprises the steps of adaptively selecting a surrounding rock test area in a TBM tunneling tunnel, wherein the surrounding rock test area comprises the steps of expanding the area to be tested to the periphery in a polygonal grid mode by taking a point to be tested which is manually input as an original point, and taking polygonal grid points as new test points in the expansion process; testing in the same lithologic region, wherein the average element content tends to be stable along with the gradual expansion of the testing range; after exceeding the area, testing other lithologies, starting to change the average content of elements until a new approach value appears, and selecting a testing area by taking the change point as a boundary point of the area with the same lithology;
receiving the mineral element components and contents of surrounding rocks in a surrounding rock test area;
and obtaining the types of minerals by using a standard mineral calculation method, and determining the rock types and the mineral content intervals by combining a pre-constructed element-mineral-rock database.
2. The TBM-mounted mineral composition detection method according to claim 1, wherein after completion of the test area selection, a smaller polygon side length is selected for the supplementary point test according to the degree of density of points within the window, so as to increase the test data amount to ensure the test accuracy.
3. The TBM-mounted mineral composition detection method according to claim 1, wherein if a matching rock type is not found in the element-mineral-rock database constructed in advance, a manual determination of a rock type is performed, and the current mineral element composition and content, and the type of mineral and the type of rock corresponding thereto are stored in the element-mineral-rock database.
4. A method for advanced geological prediction, comprising:
performing mineral detection by adopting the TBM carrying type mineral component detection method according to any one of claims 1 to 3 along with the tunneling mileage of the TBM;
and constructing mineral sequence characteristics of the whole tunnel to realize advanced geological prediction.
5. The TBM carrying type XRF element testing system is characterized by comprising a control and data processing terminal and an XRF detector, wherein the XRF detector is carried on the TBM and is used for detecting mineral element components and content of surrounding rocks in a testing area;
the control and data processing terminal includes:
the test area selection module is used for adaptively selecting a surrounding rock test area in the TBM tunneling tunnel, and comprises the steps of expanding the area to be tested to the periphery in a polygonal grid mode by taking a point to be tested which is manually input as an original point, and taking a polygonal grid point as a new test point in the expansion process; testing in the same lithologic region, wherein the average element content tends to be stable along with the gradual expansion of the testing range; after exceeding the area, testing other lithologies, starting to change the average content of elements until a new approach value appears, and selecting a testing area by taking the change point as a boundary point of the area with the same lithology;
the data receiving module is used for receiving the mineral element components and contents of the surrounding rocks in the surrounding rock testing area;
and the rock judgment module is used for obtaining the types of the minerals by using a standard mineral calculation method and determining the types of the rocks and the mineral content intervals by combining a pre-constructed element-mineral-rock database.
6. The TBM-loaded XRF elemental testing system according to claim 5, wherein in said test area selection module, after the test area selection is completed, a smaller polygon edge length is selected for the padding point test according to the density of the points in the window, so as to increase the test data volume and ensure the test accuracy.
7. The TBM-loaded XRF elemental testing system according to claim 5 wherein in the rock determination module, if a matching rock type is not found in the pre-constructed elemental-mineral-rock database, then performing a human determination of the rock type and storing the current mineral element composition and content and its corresponding mineral type and rock type in the elemental-mineral-rock database.
8. The TBM-onboard XRF elemental testing system of claim 5, wherein the XRF detector is affixed to the end of a robotic arm that is attached to a shoe of the TBM; the mechanical arm is of a folding arm type and comprises at least two joints.
9. The TBM-onboard XRF elemental testing system according to claim 8, wherein the robotic arm further comprises a pressure sensor at a distal end thereof, the pressure sensor configured to detect the attachment of the XRF detector to the tunnel wall rock and feed back the detected attachment to the control and data processing terminal.
10. The TBM-onboard XRF elemental testing system according to claim 8, wherein each joint of the robotic arm is equipped with a position sensor for real-time sensing of the robotic arm position and feedback to the control and data processing terminal.
11. A look-ahead geological prediction system, comprising:
the mineral detection module is used for detecting minerals by adopting the TBM-carried mineral composition detection method according to any one of claims 1 to 3 along with the driving tunnel mileage of the TBM;
and the advance geological prediction module is used for constructing mineral sequence characteristics of the whole tunnel so as to realize advance geological prediction.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010664580.XA CN111812136B (en) | 2020-07-10 | 2020-07-10 | TBM (tunnel boring machine) carrying type mineral composition detection method, advance geology prediction method and advance geology prediction system |
| AU2020449437A AU2020449437B2 (en) | 2020-07-10 | 2020-12-30 | TBM-mounted mineral composition testing method, advanced geological forecasting method and system |
| PCT/CN2020/141565 WO2022007365A1 (en) | 2020-07-10 | 2020-12-30 | Tbm-mounted mineral component detection method and advanced geological forecasting method and system |
Applications Claiming Priority (1)
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| CN115931943B (en) * | 2022-12-16 | 2023-08-08 | 中国地质科学院探矿工艺研究所 | On-site sampling, mixing, detecting and high-precision dividing integrated device |
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| WO2022007365A1 (en) | 2022-01-13 |
| CN111812136A (en) | 2020-10-23 |
| AU2020449437A1 (en) | 2022-01-27 |
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