CN114152974A - Geological forecasting method for multi-arm rock drilling jumbo construction tunnel - Google Patents
Geological forecasting method for multi-arm rock drilling jumbo construction tunnel Download PDFInfo
- Publication number
- CN114152974A CN114152974A CN202111405236.XA CN202111405236A CN114152974A CN 114152974 A CN114152974 A CN 114152974A CN 202111405236 A CN202111405236 A CN 202111405236A CN 114152974 A CN114152974 A CN 114152974A
- Authority
- CN
- China
- Prior art keywords
- rock breaking
- vibration frequency
- breaking vibration
- data acquisition
- rock
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000011435 rock Substances 0.000 title claims abstract description 151
- 238000010276 construction Methods 0.000 title claims abstract description 47
- 238000013277 forecasting method Methods 0.000 title claims abstract description 17
- 238000005553 drilling Methods 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 238000004364 calculation method Methods 0.000 claims abstract description 5
- 238000000034 method Methods 0.000 claims description 10
- 238000003491 array Methods 0.000 claims description 9
- 238000010586 diagram Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 230000005284 excitation Effects 0.000 abstract description 3
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000005422 blasting Methods 0.000 description 4
- 238000007689 inspection Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 3
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/16—Receiving elements for seismic signals; Arrangements or adaptations of receiving elements
- G01V1/18—Receiving elements, e.g. seismometer, geophone or torque detectors, for localised single point measurements
- G01V1/181—Geophones
-
- G01V1/01—
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Abstract
The invention relates to a geological forecasting method for a multi-arm drill jumbo construction tunnel, belonging to the technical field of earthquake forecasting; a plurality of detectors are respectively embedded in the left side wall and the right side wall of the tunnel, and the detectors are connected in series and connected to a data acquisition host; using a rock breaking vibration signal generated when the multi-arm rock drilling jumbo excavates on a tunnel face as a detection seismic source for geological prediction, and continuously acquiring a long-time reflection seismic signal; and carrying out seismic interference processing and inversion calculation on the acquired seismic signals to generate a seismic reflected wave energy map, and forecasting the geological condition in front of the tunnel face of the tunnel based on analysis and explanation of the reflected wave energy map. The passive seismic source is ingenious in design, the passive seismic source is adopted, manual seismic source excitation is not needed, the cost of forecasting implementation is effectively reduced, construction is not affected, and the passive seismic source forecasting method is convenient, easy to use, high in adaptability and suitable for popularization and application.
Description
Technical Field
The invention belongs to the technical field of earthquake prediction, and particularly relates to a geological prediction method for a multi-arm drill jumbo construction tunnel.
Background
The drilling and blasting construction of the multi-arm drill jumbo is larger than the drilling and blasting construction of the traditional pneumatic pick in each cycle of blasting operation, the blasting precision is improved, the amount of super-underexcavation engineering is reduced, and the construction efficiency is integrally improved although the construction cost is increased. In recent years, various new technical trends in the construction of highway tunnels in China are continuously developed along with the progress of science and technology, and the construction mechanization and the intellectualization are more and more popularized, so that the multi-arm rock drilling jumbo with higher precision control is believed to be continuously applied to tunnel construction.
However, in the process of multi-arm drill jumbo tunnel construction, the source forecast when the multi-arm drill jumbo excavates the tunnel is not reasonably designed at the present stage, so that potential safety hazards exist in the multi-arm drill jumbo tunnel construction; moreover, when the potential safety hazard of the seismic source is detected, a large amount of manpower and material resources are consumed to process the potential safety hazard, so that the accuracy of the potential safety hazard forecasting must be ensured.
Therefore, at present, a geological forecasting method for a multi-arm drill jumbo construction tunnel needs to be designed to solve the above problems.
Disclosure of Invention
The invention aims to provide a geological forecasting method for a multi-arm drill jumbo construction tunnel, which is used for solving the technical problems in the prior art, such as: in the process of multi-arm drill jumbo tunnel construction, the source forecast when the multi-arm drill jumbo excavates the tunnel is not reasonably designed at the present stage, so that potential safety hazards exist in the multi-arm drill jumbo tunnel construction; moreover, when the potential safety hazard of the seismic source is detected, a large amount of manpower and material resources are consumed to process the potential safety hazard, so that the accuracy of the potential safety hazard prediction must be ensured.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a geological forecasting method for use in a multi-arm jumbo construction tunnel, comprising the steps of:
s1: symmetrically arranging detector arrays on two sides of a side wall of a construction tunnel of the multi-arm drill jumbo;
s2: when the multi-arm rock drilling jumbo excavates on the tunnel face, the generated rock breaking vibration signal is a detection seismic source, and a plurality of rock breaking vibration signals are continuously collected through symmetrically arranged detector arrays respectively;
s3: performing seismic interference processing and inversion calculation on the multi-channel rock breaking vibration signals to generate a seismic reflected wave energy diagram;
s4: and forecasting the geological condition of the forward direction of the tunnel face based on the analysis and explanation of the seismic reflected wave energy diagram.
Further, in step S3, the following are specifically performed:
when the plurality of rock breaking vibration signals are two rock breaking vibration signals;
the data acquisition host acquires the two rock breaking vibration signals from the detector array and records the two rock breaking vibration signals as a first rock breaking vibration signal and a second rock breaking vibration signal respectively;
the data acquisition host respectively analyzes the vibration frequency of the first rock breaking vibration signal and the vibration frequency of the second rock breaking vibration signal, and correspondingly obtains a first rock breaking vibration frequency and a second rock breaking vibration frequency;
and the data acquisition host machine compares and matches the first rock breaking vibration frequency with the second rock breaking vibration frequency, if the first rock breaking vibration frequency and the second rock breaking vibration frequency are matched, the data acquisition host machine calibrates the detector array to normally work, otherwise, the data acquisition host machine calibrates the detector array to abnormally work.
Further, when the data acquisition host machine compares and matches the first rock breaking vibration frequency with the second rock breaking vibration frequency, the data acquisition host machine provides a first comparison matching program and a second comparison matching program, and the first comparison matching program and the second comparison matching program are both used for judging whether the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency;
when the data acquisition host computer obtains the first rock breaking vibration frequency and the second rock breaking vibration frequency, firstly starting the first comparison matching program for judgment, and if the first comparison matching program judges that the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency, directly calibrating the data acquisition host computer for matching if the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency;
if the first contrast matching program judges that the first rock breaking vibration frequency is not matched with the second rock breaking vibration frequency, the data acquisition host starts the second contrast matching program, if the second contrast matching program still judges that the first rock breaking vibration frequency is not matched with the second rock breaking vibration frequency at the moment, the data acquisition host is calibrated for two times and is not matched, if the second contrast matching program judges that the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency at the moment, the data acquisition host is calibrated for two times and is matched and calibrated with the first contrast matching program fault.
Furthermore, when the data acquisition host calibrates the detector array to work abnormally, arranging a test detector array on any side of a construction tunnel of the multi-arm rock drilling trolley, wherein the test detector array can acquire a test rock-breaking vibration signal, and the test rock-breaking vibration signal corresponds to a test rock-breaking vibration frequency;
the data acquisition host machine compares and matches the test rock breaking vibration frequency with the first rock breaking vibration frequency and the second rock breaking vibration frequency respectively;
if the first rock breaking vibration frequency is the same as the test rock breaking vibration frequency, and the second rock breaking vibration frequency is different from the test rock breaking vibration frequency, calibrating a detector array fault corresponding to the second rock breaking vibration signal by the data acquisition host;
and if the second rock breaking vibration frequency is the same as the detection rock breaking vibration frequency, and the first rock breaking vibration frequency is different from the detection rock breaking vibration frequency, calibrating the detector array fault corresponding to the first rock breaking vibration signal by the data acquisition host.
Further, when the data acquisition host machine marks the detector array corresponding to the fault,
identifying whether output data exists at the output end of the detector array;
identifying whether input data exist at the input end of the data acquisition host;
if the output end of the detector array does not have output data, the data acquisition host calibrates the detector array link fault;
and if the output end of the detector array has output data and the input end of the data acquisition host does not have input data, calibrating the data transmission fault between the detector array and the data acquisition host by the data acquisition host.
A geological forecasting device for a multi-arm drill jumbo construction tunnel performs geological forecasting by using the geological forecasting method for the multi-arm drill jumbo construction tunnel.
A geological prediction system for use in a multi-arm jumbo construction tunnel employs a geological prediction method as described above for use in a multi-arm jumbo construction tunnel.
Compared with the prior art, the invention has the beneficial effects that:
the scheme has the innovation points that a plurality of detectors are respectively embedded in the left side wall and the right side wall of the tunnel, and the detectors are connected in series and connected to a data acquisition host; using a rock breaking vibration signal generated when the multi-arm rock drilling jumbo excavates on a tunnel face as a detection seismic source for geological prediction, and continuously acquiring a long-time reflection seismic signal; and carrying out seismic interference processing and inversion calculation on the acquired seismic signals to generate a seismic reflected wave energy map, and forecasting the geological condition in front of the tunnel face of the tunnel based on analysis and explanation of the reflected wave energy map. The passive seismic source is ingenious in design, the passive seismic source is adopted, manual seismic source excitation is not needed, the cost of forecasting implementation is effectively reduced, construction is not affected, and the passive seismic source forecasting method is convenient, easy to use, high in adaptability and suitable for popularization and application.
Drawings
Fig. 1 is a schematic flow chart illustrating steps according to an embodiment of the present application.
Fig. 2 is a flowchart illustrating step S3 according to an embodiment of the present application.
Fig. 3 is a schematic flow chart illustrating a comparison and matching process between the first rock breaking vibration frequency and the second rock breaking vibration frequency in the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to fig. 1 to 3 of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1, it is therefore proposed a geological forecasting method for use in multi-arm jumbo construction tunnels, comprising the following steps:
s1: symmetrically arranging detector arrays on two sides of a side wall of a construction tunnel of the multi-arm drill jumbo;
s2: when the multi-arm rock drilling jumbo excavates on the tunnel face, the generated rock breaking vibration signal is a detection seismic source, and a plurality of rock breaking vibration signals are continuously collected through symmetrically arranged detector arrays respectively;
s3: performing seismic interference processing and inversion calculation on the multi-channel rock breaking vibration signals to generate a seismic reflected wave energy diagram;
s4: and forecasting the geological condition of the forward direction of the tunnel face based on the analysis and explanation of the seismic reflected wave energy diagram.
Through the scheme, the design is ingenious, the passive seismic source is adopted, manual seismic source excitation is not needed, the cost of forecasting implementation is effectively reduced, construction is not affected, and the method is convenient and easy to use, high in adaptability and suitable for popularization and application.
However, in the above solution, whether the detector array is working normally directly affects the accuracy of geological prediction, so it is necessary to determine the working state of the detector array.
As shown in fig. 2, further, in step S3, the following are specific:
when the plurality of rock breaking vibration signals are two rock breaking vibration signals;
the data acquisition host acquires the two rock breaking vibration signals from the detector array and records the two rock breaking vibration signals as a first rock breaking vibration signal and a second rock breaking vibration signal respectively;
the data acquisition host respectively analyzes the vibration frequency of the first rock breaking vibration signal and the vibration frequency of the second rock breaking vibration signal, and correspondingly obtains a first rock breaking vibration frequency and a second rock breaking vibration frequency;
and the data acquisition host machine compares and matches the first rock breaking vibration frequency with the second rock breaking vibration frequency, if the first rock breaking vibration frequency and the second rock breaking vibration frequency are matched, the data acquisition host machine calibrates the detector array to normally work, otherwise, the data acquisition host machine calibrates the detector array to abnormally work.
Since it is explicitly indicated in S1 that the detector arrays are symmetrically disposed on both sides of the construction tunnel, the rock-breaking vibration frequencies corresponding to the two detector arrays should be the same under normal working conditions, and therefore, it can be determined whether the detector arrays on both sides of the construction tunnel are abnormal in operation by using this characteristic, thereby ensuring the accuracy of address prediction.
However, in the above scheme, the step of comparing and matching the first rock-breaking vibration frequency and the second rock-breaking vibration frequency is very important, and if misjudgment of comparison and matching occurs in this step, a series of subsequent emergency reactions are affected, and loss of manpower and material resources is caused.
As shown in fig. 3, further, when the data acquisition host machine matches the first rock-breaking vibration frequency with the second rock-breaking vibration frequency in a comparison manner, the data acquisition host machine provides a first comparison matching program and a second comparison matching program, and both the first comparison matching program and the second comparison matching program are used for judging whether the first rock-breaking vibration frequency is matched with the second rock-breaking vibration frequency;
when the data acquisition host computer obtains the first rock breaking vibration frequency and the second rock breaking vibration frequency, firstly starting the first comparison matching program for judgment, and if the first comparison matching program judges that the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency, directly calibrating the data acquisition host computer for matching if the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency;
if the first contrast matching program judges that the first rock breaking vibration frequency is not matched with the second rock breaking vibration frequency, the data acquisition host starts the second contrast matching program, if the second contrast matching program still judges that the first rock breaking vibration frequency is not matched with the second rock breaking vibration frequency at the moment, the data acquisition host is calibrated for two times and is not matched, if the second contrast matching program judges that the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency at the moment, the data acquisition host is calibrated for two times and is matched and calibrated with the first contrast matching program fault.
Through the scheme, the first rock breaking vibration frequency and the second rock breaking vibration frequency can be ensured to be compared and matched normally through the matching of the first comparison matching program and the second comparison matching program, and misjudgment is avoided.
In the above-described configuration, even when the detector array is determined to be abnormal, it is not possible to determine which side of the detector array is abnormal, and the inspection by manpower is still required.
Furthermore, when the data acquisition host calibrates the detector array to work abnormally, arranging a test detector array on any side of a construction tunnel of the multi-arm rock drilling trolley, wherein the test detector array can acquire a test rock-breaking vibration signal, and the test rock-breaking vibration signal corresponds to a test rock-breaking vibration frequency;
the data acquisition host machine compares and matches the test rock breaking vibration frequency with the first rock breaking vibration frequency and the second rock breaking vibration frequency respectively;
if the first rock breaking vibration frequency is the same as the test rock breaking vibration frequency, and the second rock breaking vibration frequency is different from the test rock breaking vibration frequency, calibrating a detector array fault corresponding to the second rock breaking vibration signal by the data acquisition host;
and if the second rock breaking vibration frequency is the same as the detection rock breaking vibration frequency, and the first rock breaking vibration frequency is different from the detection rock breaking vibration frequency, calibrating the detector array fault corresponding to the first rock breaking vibration signal by the data acquisition host.
The detector array on which side is abnormal is further judged by arranging the inspection detector array, so that the inspection is convenient and quick, and the inspection is carried out on site without manpower.
Further, when the data acquisition host machine marks the detector array corresponding to the fault,
identifying whether output data exists at the output end of the detector array;
identifying whether input data exist at the input end of the data acquisition host;
if the output end of the detector array does not have output data, the data acquisition host calibrates the detector array link fault;
and if the output end of the detector array has output data and the input end of the data acquisition host does not have input data, calibrating the data transmission fault between the detector array and the data acquisition host by the data acquisition host.
In the scheme, the fault accurate positioning of the fault detector array can be completed through the identification of the output end of the detector array and the identification of the input end of the data acquisition host.
A geological forecasting device for a multi-arm drill jumbo construction tunnel performs geological forecasting by using the geological forecasting method for the multi-arm drill jumbo construction tunnel.
A geological prediction system for use in a multi-arm jumbo construction tunnel employs a geological prediction method as described above for use in a multi-arm jumbo construction tunnel.
The above are preferred embodiments of the present invention, and all changes made according to the technical scheme of the present invention that produce functional effects do not exceed the scope of the technical scheme of the present invention belong to the protection scope of the present invention.
Claims (7)
1. A geological forecasting method for use in a multi-arm jumbo construction tunnel, comprising the steps of:
s1: symmetrically arranging detector arrays on two sides of a side wall of a construction tunnel of the multi-arm drill jumbo;
s2: when the multi-arm rock drilling jumbo excavates on the tunnel face, the generated rock breaking vibration signal is a detection seismic source, and a plurality of rock breaking vibration signals are continuously collected through symmetrically arranged detector arrays respectively;
s3: performing seismic interference processing and inversion calculation on the multi-channel rock breaking vibration signals to generate a seismic reflected wave energy diagram;
s4: and forecasting the geological condition of the forward direction of the tunnel face based on the analysis and explanation of the seismic reflected wave energy diagram.
2. The geological forecasting method for the multi-arm drill jumbo construction tunnel of claim 1, wherein in the step S3, the concrete steps are as follows:
when the plurality of rock breaking vibration signals are two rock breaking vibration signals;
the data acquisition host acquires the two rock breaking vibration signals from the detector array and records the two rock breaking vibration signals as a first rock breaking vibration signal and a second rock breaking vibration signal respectively;
the data acquisition host respectively analyzes the vibration frequency of the first rock breaking vibration signal and the vibration frequency of the second rock breaking vibration signal, and correspondingly obtains a first rock breaking vibration frequency and a second rock breaking vibration frequency;
and the data acquisition host machine compares and matches the first rock breaking vibration frequency with the second rock breaking vibration frequency, if the first rock breaking vibration frequency and the second rock breaking vibration frequency are matched, the data acquisition host machine calibrates the detector array to normally work, otherwise, the data acquisition host machine calibrates the detector array to abnormally work.
3. The geological forecasting method for the multi-arm drill jumbo construction tunnel of claim 2, wherein when the data acquisition host machine compares and matches the first rock-breaking vibration frequency with the second rock-breaking vibration frequency, the data acquisition host machine provides a first comparison matching program and a second comparison matching program, and the first comparison matching program and the second comparison matching program are both used for judging whether the first rock-breaking vibration frequency is matched with the second rock-breaking vibration frequency;
when the data acquisition host computer obtains the first rock breaking vibration frequency and the second rock breaking vibration frequency, firstly starting the first comparison matching program for judgment, and if the first comparison matching program judges that the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency, directly calibrating the data acquisition host computer for matching if the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency;
if the first contrast matching program judges that the first rock breaking vibration frequency is not matched with the second rock breaking vibration frequency, the data acquisition host starts the second contrast matching program, if the second contrast matching program still judges that the first rock breaking vibration frequency is not matched with the second rock breaking vibration frequency at the moment, the data acquisition host is calibrated for two times and is not matched, if the second contrast matching program judges that the first rock breaking vibration frequency is matched with the second rock breaking vibration frequency at the moment, the data acquisition host is calibrated for two times and is matched and calibrated with the first contrast matching program fault.
4. The geological forecasting method for the multi-arm rock drilling trolley construction tunnel according to claim 3, characterized in that when the data acquisition host machine calibrates the detector array to work abnormally, a test detector array is arranged on either side of the construction tunnel of the multi-arm rock drilling trolley, the test detector array can acquire a test rock breaking vibration signal, and the test rock breaking vibration signal corresponds to a test rock breaking vibration frequency;
the data acquisition host machine compares and matches the test rock breaking vibration frequency with the first rock breaking vibration frequency and the second rock breaking vibration frequency respectively;
if the first rock breaking vibration frequency is the same as the test rock breaking vibration frequency, and the second rock breaking vibration frequency is different from the test rock breaking vibration frequency, calibrating a detector array fault corresponding to the second rock breaking vibration signal by the data acquisition host;
and if the second rock breaking vibration frequency is the same as the detection rock breaking vibration frequency, and the first rock breaking vibration frequency is different from the detection rock breaking vibration frequency, calibrating the detector array fault corresponding to the first rock breaking vibration signal by the data acquisition host.
5. A geological forecasting method in a multi-arm drill jumbo construction tunnel according to claim 4, characterized in that, when said data acquisition master machine calibrates the detector array corresponding to the fault,
identifying whether output data exists at the output end of the detector array;
identifying whether input data exist at the input end of the data acquisition host;
if the output end of the detector array does not have output data, the data acquisition host calibrates the detector array link fault;
and if the output end of the detector array has output data and the input end of the data acquisition host does not have input data, calibrating the data transmission fault between the detector array and the data acquisition host by the data acquisition host.
6. A geological forecasting device for use in a multi-arm jumbo construction tunnel, characterized in that it performs geological forecasting using a geological forecasting method for use in a multi-arm jumbo construction tunnel according to any of claims 1 to 5.
7. A geological prediction system for use in a multi-arm jumbo construction tunnel, characterized in that it employs a geological prediction method for use in a multi-arm jumbo construction tunnel according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111405236.XA CN114152974B (en) | 2021-11-24 | 2021-11-24 | Geological prediction method for multi-arm drilling jumbo construction tunnel |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111405236.XA CN114152974B (en) | 2021-11-24 | 2021-11-24 | Geological prediction method for multi-arm drilling jumbo construction tunnel |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114152974A true CN114152974A (en) | 2022-03-08 |
| CN114152974B CN114152974B (en) | 2023-06-23 |
Family
ID=80457603
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111405236.XA Active CN114152974B (en) | 2021-11-24 | 2021-11-24 | Geological prediction method for multi-arm drilling jumbo construction tunnel |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114152974B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102914805A (en) * | 2012-11-07 | 2013-02-06 | 山东大学 | Device for measuring sensitivity of wave detector in reception direction of elastic waves |
| JP2014106075A (en) * | 2012-11-27 | 2014-06-09 | Fujita Corp | Method for geological survey during tunnel excavation |
| CN104747184A (en) * | 2015-03-11 | 2015-07-01 | 山东大学 | Measurement-while-drilling method and device for three-dimensional wave velocity imaging of rock mass in front of tunnel face |
| CN104977603A (en) * | 2015-06-02 | 2015-10-14 | 甘肃智通科技工程检测咨询有限公司 | Tunnel geological advance forecasting method based on mechanical energy nondestructive detection |
| CN107132571A (en) * | 2017-05-24 | 2017-09-05 | 中铁西南科学研究院有限公司 | A kind of multi-source seismic interference method for tunnel geological forecast |
| CN109375263A (en) * | 2018-12-04 | 2019-02-22 | 山东大学 | A kind of earthquake advanced prediction device, system and method suitable for drill+blast tunnel |
| CN109375262A (en) * | 2018-12-04 | 2019-02-22 | 山东大学 | Based on wave detector installation aiding device, drill+blast tunnel advanced forecasting system and method |
| CN110007370A (en) * | 2019-04-13 | 2019-07-12 | 胜利油田新胜石油物探技术服务有限责任公司 | A kind of general Seismic Detector system and its control method |
| CN113311478A (en) * | 2021-05-28 | 2021-08-27 | 山东大学 | Geological detection method and system based on air gun seismic source |
| CN113311480A (en) * | 2021-05-28 | 2021-08-27 | 山东大学 | Tunnel unfavorable geology advanced detection system and method based on high-frequency elastic waves |
| CN113484910A (en) * | 2021-06-28 | 2021-10-08 | 西安建筑科技大学 | Tunnel advanced geological prediction method and system based on seismic interference method |
-
2021
- 2021-11-24 CN CN202111405236.XA patent/CN114152974B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102914805A (en) * | 2012-11-07 | 2013-02-06 | 山东大学 | Device for measuring sensitivity of wave detector in reception direction of elastic waves |
| JP2014106075A (en) * | 2012-11-27 | 2014-06-09 | Fujita Corp | Method for geological survey during tunnel excavation |
| CN104747184A (en) * | 2015-03-11 | 2015-07-01 | 山东大学 | Measurement-while-drilling method and device for three-dimensional wave velocity imaging of rock mass in front of tunnel face |
| CN104977603A (en) * | 2015-06-02 | 2015-10-14 | 甘肃智通科技工程检测咨询有限公司 | Tunnel geological advance forecasting method based on mechanical energy nondestructive detection |
| CN107132571A (en) * | 2017-05-24 | 2017-09-05 | 中铁西南科学研究院有限公司 | A kind of multi-source seismic interference method for tunnel geological forecast |
| CN109375263A (en) * | 2018-12-04 | 2019-02-22 | 山东大学 | A kind of earthquake advanced prediction device, system and method suitable for drill+blast tunnel |
| CN109375262A (en) * | 2018-12-04 | 2019-02-22 | 山东大学 | Based on wave detector installation aiding device, drill+blast tunnel advanced forecasting system and method |
| CN110007370A (en) * | 2019-04-13 | 2019-07-12 | 胜利油田新胜石油物探技术服务有限责任公司 | A kind of general Seismic Detector system and its control method |
| CN113311478A (en) * | 2021-05-28 | 2021-08-27 | 山东大学 | Geological detection method and system based on air gun seismic source |
| CN113311480A (en) * | 2021-05-28 | 2021-08-27 | 山东大学 | Tunnel unfavorable geology advanced detection system and method based on high-frequency elastic waves |
| CN113484910A (en) * | 2021-06-28 | 2021-10-08 | 西安建筑科技大学 | Tunnel advanced geological prediction method and system based on seismic interference method |
Non-Patent Citations (5)
| Title |
|---|
| 吴丰收;李静;花晓鸣;李富明;卢松;: "基于多源地震干涉法的隧道超前地质预报技术数值模拟研究", 现代隧道技术 * |
| 汪旭,孟露,杨刚,卢松: "隧道超前地质预报多源地震干涉法成像结果影响因素研究", 现代隧道技术 * |
| 王小兵: "隧道超前预报检波器频率特性测试与校正技术", 中国优秀硕士学位论文全文数据库工程科技Ⅱ辑 * |
| 石少帅,曹天宇, 许新骥, 田四明, 郭伟东,孙昊政, 李咸森: "隧道凿岩台车破岩震源三臂混合先导信号盲源分离方法与工程应用", 应用基础与工程科学学报 * |
| 许新骥: "TBM掘进破岩震源地震波超前地质探测方法及工程应用", 中国博士学位论文全文数据库工程科技Ⅱ辑 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114152974B (en) | 2023-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110109895B (en) | Surrounding rock grading combined prediction method suitable for TBM tunneling tunnel and application | |
| US9817148B2 (en) | Borehole while drilling electromagnetic tomography advanced detection apparatus and method | |
| CN111879858B (en) | Rock damage prediction method based on acoustic emission seismic source dominant frequency uniqueness | |
| US11365624B2 (en) | System and method for monitoring water inrush | |
| CN102736124A (en) | Tunnel excavation surrounding rock dynamic refined classification method based on integrated parameters | |
| CN102016641A (en) | Collapse prediction method for ground structure | |
| CN111208555B (en) | Active and passive detection and positioning method for underground coal fire danger sound waves | |
| CN112180429B (en) | Unfavorable geological structure detection system and method by utilizing tunnel blasting vibration inversion | |
| CN111125872A (en) | Rock burst prediction method for TBM tunneling tunnel | |
| CN111077583B (en) | Structure activation double-parameter monitoring system and monitoring method | |
| CN110738825A (en) | open TBM broken stratum early warning method and system | |
| CN114152974A (en) | Geological forecasting method for multi-arm rock drilling jumbo construction tunnel | |
| CN102901611B (en) | A kind of quick arrange distinguish method of satellite antenna structural damage based on modal test | |
| CN111273340A (en) | Method for forecasting geology of tunnel along with mining in advance | |
| CN112459765B (en) | System and method for collecting load data of rotary drilling tool | |
| CN113534289B (en) | Real-time early warning device and method for advanced intelligent comprehensive detection based on Internet of things | |
| CN112578220B (en) | Underground cable fault on-line positioning system and method | |
| CN112228083B (en) | Rock breaking path selection method for small-section tunneling machine of coal mine | |
| CN110043319B (en) | Method for detecting working face strike fault by mine radio wave | |
| CN104406681B (en) | A kind of method of testing determining microseism velocity of wave in real time | |
| CN111720171B (en) | Intelligent test and analysis system and method for roof pressure of coal seam working face | |
| CN211426814U (en) | Along with adopting tunnel geology advance forecast system | |
| Liu et al. | Research and application of microseismic nonlinear optimal positioning methods | |
| CN113047829B (en) | Method for determining structural firmness of coal body based on operation parameters of heading machine | |
| EA022596B1 (en) | Method of monitoring and determination of dangerous state of rocks during underground mining |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220609 Address after: 610000 No. 118 Xiyuecheng Street, Chengdu City, Sichuan Province Applicant after: CHINA RAILWAY SOUTHWEST RESEARCH INSTITUTE Co.,Ltd. Applicant after: CHINA RAILWAY DEVELOPMENT INVESTMENT GROUP Co.,Ltd. Address before: 610000 No. 118 Xiyuecheng Street, Chengdu City, Sichuan Province Applicant before: CHINA RAILWAY SOUTHWEST RESEARCH INSTITUTE Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |