CN112883087A - Dam intelligent grouting and engineering geological big data visual analysis method - Google Patents
Dam intelligent grouting and engineering geological big data visual analysis method Download PDFInfo
- Publication number
- CN112883087A CN112883087A CN202110255060.8A CN202110255060A CN112883087A CN 112883087 A CN112883087 A CN 112883087A CN 202110255060 A CN202110255060 A CN 202110255060A CN 112883087 A CN112883087 A CN 112883087A
- Authority
- CN
- China
- Prior art keywords
- data
- grouting
- quality
- construction
- visualization
- 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.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 25
- 230000000007 visual effect Effects 0.000 title claims description 9
- 238000010276 construction Methods 0.000 claims abstract description 40
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000012800 visualization Methods 0.000 claims abstract description 26
- 238000007689 inspection Methods 0.000 claims abstract description 21
- 238000013461 design Methods 0.000 claims abstract description 19
- 238000013079 data visualisation Methods 0.000 claims abstract description 13
- 238000007726 management method Methods 0.000 claims abstract description 13
- 230000008569 process Effects 0.000 claims abstract description 10
- 230000005540 biological transmission Effects 0.000 claims abstract description 4
- 238000013523 data management Methods 0.000 claims abstract description 3
- 238000013439 planning Methods 0.000 claims abstract description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 15
- 238000003384 imaging method Methods 0.000 claims description 11
- 238000002347 injection Methods 0.000 claims description 10
- 239000007924 injection Substances 0.000 claims description 10
- 230000035699 permeability Effects 0.000 claims description 10
- 238000012544 monitoring process Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000010219 correlation analysis Methods 0.000 claims description 5
- 238000005553 drilling Methods 0.000 claims description 5
- 238000009499 grossing Methods 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 4
- 239000002002 slurry Substances 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 230000006872 improvement Effects 0.000 claims description 2
- 238000013024 troubleshooting Methods 0.000 claims description 2
- 206010063385 Intellectualisation Diseases 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000011435 rock Substances 0.000 description 3
- 238000007596 consolidation process Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 230000003204 osmotic effect Effects 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004568 cement Substances 0.000 description 1
- 238000009430 construction management Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000011440 grout Substances 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000011148 porous material Substances 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000000547 structure data Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Business, Economics & Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Primary Health Care (AREA)
- Human Resources & Organizations (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
- Consolidation Of Soil By Introduction Of Solidifying Substances Into Soil (AREA)
Abstract
A dam intelligent grouting and engineering geological big data visualization analysis method comprises the following steps of performing metadata standard management: the method is used for managing the format, quality, scale, acquisition frequency and transmission frequency of dam grouting survey data, design data, construction data, result data and quality inspection data; and (3) metadata collection management: the method is used for collecting, interacting and storing dam grouting survey data, design data, construction data, result data and quality inspection data; and (3) performing metadata quality management: the intelligent grouting construction data management system is used for managing the quality of intelligent grouting construction data, achievement data and quality inspection data, and comprises the steps of data quality index planning, data quality analysis, data problem statistics, data problem form generation and the like; the invention aims to further ensure the grouting quality and provide guarantee for realizing intellectualization of a grouting process, and provides an intelligent grouting data acquisition, visualization and depth analysis method.
Description
Technical Field
The invention relates to a dam intelligent grouting and engineering geological big data visualization analysis method, and belongs to the field of hydraulic structure engineering.
Background
The grouting technology is an effective measure for reinforcing the hydraulic dam, and plays a positive promoting role in the construction of the hydraulic dam. The grouting mainly comprises two types, namely consolidation grouting and curtain grouting. Wherein, the consolidation grouting is to utilize a drill hole to press high-grade cement slurry or chemical slurry into a rock body so as to seal a crack, strengthen the integrity of bedrock and achieve the aim of improving the strength and the rigidity of the rock body; the curtain grouting is to fill grout into cracks and pores of rock mass or soil layer to form a continuous waterproof curtain to reduce seepage flow and osmotic pressure, thereby reducing and controlling osmotic pressure and uplift pressure born by the dam.
Under the drive of technologies such as internet of things, internet, cloud computing and the like, dam grouting tends to be gradually automated and intelligentized, massive information data can be accumulated in the period, and the data has the characteristics of complexity, diversity and the like. Therefore, the grouting data acquisition, the filtration, the screening, the smoothing and the visualization of mass grouting data information and the rapid acquisition of valuable information become important technical problems which need to be solved urgently in water engineering construction management.
Disclosure of Invention
The invention aims to provide an intelligent grouting data acquisition, visualization and depth analysis method, which further guarantees the grouting quality and guarantees the intellectualization of the grouting process. The method comprises the following steps:
s01, metadata standard management: the method is used for managing the format, quality, scale, acquisition frequency and transmission frequency of dam grouting survey data, design data, construction data, result data and quality inspection data;
s02, metadata collection management: the method is used for collecting, interacting and storing dam grouting survey data, design data, construction data, result data and quality inspection data;
s03, metadata quality management: the intelligent grouting construction data management system is used for managing the quality of intelligent grouting construction data, achievement data and quality inspection data, and comprises data quality index planning, data quality analysis, data problem statistics and data problem form generation;
s04, data standardization: the method is used for classifying, dividing and standardizing the stored metadata, and realizing the standardization of information such as format, unit, element and the like of the data;
s05, data visualization matching: the method is used for visual matching processing of standardized data, mainly comprises noise reduction, smoothing and feature detection of the data, and completes parametric modeling, three-dimensional space fitting and the like on the basis;
s06, data visualization application: and visualizing the survey data, the design data, the construction data, the result data and the quality inspection data by using the data which is visually matched and processed.
S07, deep data analysis: the method is used for calculating the data basic statistical indexes and analyzing the correlation, and the data deep analysis result is displayed while the data is applied in a visual mode.
Further, in step S01, the survey data includes borehole information, acoustic data before grouting, and full-hole imaging before grouting; the design data comprises grouting hole site arrangement, hole section design, construction hole sequence and construction parameters; the construction data comprises drilling data, pressurized water data, grouting process data, lifting data and construction progress data; the achievement data comprises water permeability and unit ash injection amount; the quality inspection data comprises acoustic data after grouting and full-hole imaging after grouting.
Further, in step S02, the data acquisition is completed based on the sensing device, the image acquisition device and the geophysical prospecting device, and includes a grouting pressure sensor, a grouting flow sensor, a slurry density sensor, a lift monitoring sensor, a temperature monitoring sensor, a time monitoring sensor, an in-hole imaging device, a sound wave emitting and receiving device, and the like.
The data interaction mode includes but is not limited to 4G/5G network, optical fiber, WIFI and Bluetooth.
Further, in the step S03, when the data quality analysis result shows that there is no data quality problem, the step S04 is performed; and when the data quality analysis result indicates that the data quality problem exists, counting the data problem and generating a data problem form, transmitting the form to a grouting construction link, and performing primary screening on the grouting operation quality and troubleshooting of a data acquisition system by taking the data problem form as a basis.
Further, in step S06, the visualization application objects include visualization of grouting construction process, visualization of water permeability change and achievement spatial distribution, visualization of unit ash injection amount change and achievement spatial distribution, visualization of sound wave velocity distribution before and after grouting and improvement condition distribution, and visualization of in-hole imaging spatial distribution.
Further, in step S07, the data basis statistical indicator includes an average value, a dichotomy number, a quartile number, a maximum value, a minimum value, a standard deviation, and a specificity coefficient, and the correlation analysis includes a correlation analysis of a water permeability and a unit ash injection amount.
The invention has the following beneficial effects:
the dam intelligent grouting and engineering geological big data visual analysis method provides necessary foundation for realizing grouting process intellectualization and grouting operation sunshine, and is reliable support for ensuring grouting quality;
secondly, by utilizing a big data analysis display technology, visual display of sound waves, water permeability and unit ash injection amount is realized, and grouting result superposition engineering geological models are displayed in sequence, subsection and interval;
and thirdly, superposing the engineering structure data, the engineering geological data, the grouting result data and the quality inspection data, providing a platform foundation for deeply analyzing the correlation among dam foundation settlement, seepage and grouting result data factors, and providing comprehensive data support for the safety monitoring and evaluation of dam water storage and operation period.
Drawings
FIG. 1 is a general flow chart of a dam intelligent grouting and engineering geological big data visualization analysis method;
FIG. 2 is a schematic diagram of the acquisition and interaction at step S02 in FIG. 1;
fig. 3 is a system configuration diagram of data quality management in step S03 of fig. 1;
fig. 4 is a schematic flowchart of the data visualization application in step S06 in fig. 1.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments 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 of the 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.
In the method for visually analyzing the intelligent grouting and engineering geological big data of the dam according to the preferred embodiment of the present invention, as shown in fig. 1, the method for visually analyzing the intelligent grouting and engineering geological big data of the dam comprises the following steps:
step S01, metadata standard management: and (3) determining the format, quality standard, scale, acquisition frequency and transmission frequency of dam grouting survey data, design data, construction data, result data and quality inspection data.
Step S02, metadata collection management: the intelligent grouting and engineering geological data of the dam are divided into survey data, design data, construction data, result data and quality inspection data to be collected and managed. The survey data and the design data can be directly integrated and led into the system, and the system automatically decodes and interprets according to a required format. Wherein the survey data comprises drilling information, acoustic waves before grouting, and full-hole imaging before grouting; the design data includes grouting hole site arrangement, hole segment design, construction hole order and construction parameters. The construction data, the achievement data and the quality inspection data are directly transmitted to the system through various sensors laid on grouting equipment through a 4G/5G internet of things, optical fibers or WIFI. The construction data comprises drilling data, pressurized water data, grouting process data, lifting data and construction progress data; the achievement data comprises water permeability and unit ash injection amount; the quality inspection data comprises acoustic data after grouting and full-hole imaging data after grouting.
Step S03, metadata quality management: construction data, achievement data and quality inspection data acquisition are completed in the intelligent dam grouting construction process and the construction finishing stage, and data quality analysis is carried out. When the data quality analysis result shows that no data quality problem exists, further carrying out an S04 data standardization step; and when the data quality analysis result indicates that the data quality problem exists, counting the data problem and generating a data problem form, transmitting the form to grouting construction and quality inspection links, and performing grouting operation quality primary screening and data acquisition system investigation according to the data problem form.
Step S04, data normalization: in order to realize the standardization of information such as formats, units, quantity and the like of the stored metadata, the metadata standardization is finished by using methods such as classification, segmentation, normalization, dimensionless and the like.
Step S05, data visualization matching processing: visual matching processing of standardized data mainly comprises noise reduction, smoothing and feature detection of the data, and parametric modeling, three-dimensional space fitting and the like are completed on the basis;
step S06, data visualization application: the visual application of the design data and the survey data comprises the visualization of a dam body structure model and an engineering geological model and the visualization of grouting hole arrangement based on the visualization; the visualization application of the construction data and the achievement data is based on the visualization of the design data and the survey data, and comprises the visualization of the grouting construction process, the visualization of the water permeability change and the achievement spatial distribution, and the visualization of the unit ash injection amount change and the achievement spatial distribution; the quality inspection data can be visually overlapped with survey data, and the method comprises the steps of distributing the sound wave speed before and after grouting, improving the condition distribution visualization and the in-hole imaging space distribution visualization.
Step S07, data depth analysis: and calculating and analyzing the correlation of various data basic statistical indexes, including average value, binary number, quartile, maximum value, minimum value, standard deviation, specific coefficient, water permeability and unit ash injection amount. The depth analysis calculation result is displayed while the data is visualized, mouse clicking and box selection are supported on a data visualization interface, and the system automatically completes the depth analysis calculation and display of the selected position data.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A dam intelligent grouting and engineering geological big data visualization analysis method is characterized by comprising the following steps:
step 1: and (3) carrying out metadata standard management: the method is used for managing the format, quality, scale, acquisition frequency and transmission frequency of dam grouting survey data, design data, construction data, result data and quality inspection data;
step 2: and (3) metadata collection management: the method is used for collecting, interacting and storing dam grouting survey data, design data, construction data, result data and quality inspection data;
and step 3: and (3) performing metadata quality management: the intelligent grouting construction data management system is used for managing the quality of intelligent grouting construction data, achievement data and quality inspection data, and comprises data quality index planning, data quality analysis, data problem statistics and data problem form generation;
and 4, step 4: and (3) carrying out data standardization: the method is used for classifying, dividing and standardizing the stored metadata, and realizing the standardization of information such as format, unit, element and the like of the data;
and 5: performing data visualization matching processing for visualization matching processing of standardized data, mainly comprising noise reduction, smoothing and feature detection of the data, and completing parametric modeling, three-dimensional space fitting and the like on the basis;
step 6: performing data visualization application, and visualizing survey data, design data, construction data, result data and quality inspection data by using the data subjected to visualization matching processing;
and 7: and carrying out data depth analysis for calculation of data basic statistical indexes and correlation analysis, and displaying the data depth analysis result while carrying out data visualization application.
2. The method for visually analyzing the intelligent grouting and engineering geological big data of the dam according to claim 1, wherein in the step 1, the survey data comprises drilling information, acoustic data before grouting, and full-hole imaging before grouting; the design data comprises grouting hole site arrangement, hole section design, construction hole sequence and construction parameters; the construction data comprises drilling data, pressurized water data, grouting process data, lifting data and construction progress data; the achievement data comprises water permeability and unit ash injection amount; the quality inspection data comprises acoustic data after grouting and full-hole imaging after grouting.
3. The method for visually analyzing the intelligent grouting and engineering geological big data of the dam according to claim 1, wherein in the step 2, data acquisition is completed based on a sensing device, an image acquisition device and a geophysical prospecting device.
4. The method for visually analyzing the intelligent grouting and engineering geological big data of the dam according to claim 3, wherein the sensing equipment comprises a grouting pressure sensor, a grouting flow sensor, a slurry density sensor, a lifting monitoring sensor, a temperature monitoring sensor and a time monitoring sensor, the image acquisition equipment comprises in-hole imaging equipment, and the geophysical prospecting equipment comprises sound wave transmitting and receiving equipment.
5. The method for visually analyzing the dam intelligent grouting and engineering geological big data according to one of the claims 1 to 4, characterized in that in step 3, when the data quality analysis result is that no data quality problem exists, step 4 is performed; and when the data quality analysis result indicates that the data quality problem exists, counting the data problem and generating a data problem form, transmitting the form to a grouting construction link, and performing primary screening on the grouting operation quality and troubleshooting of a data acquisition system by taking the data problem form as a basis.
6. The method for visually analyzing dam intelligent grouting and engineering geological big data according to claim 1, wherein in step 6, the visual application objects comprise grouting construction process visualization, water permeability change and achievement space distribution visualization, unit ash injection amount change and achievement space distribution visualization, sound wave velocity distribution before and after grouting, improvement condition distribution visualization and in-hole imaging space distribution visualization.
7. The method for visually analyzing the intelligent grouting and engineering geological big data of the dam according to claim 1, wherein in the step 7, the data basic statistical indexes comprise an average value, a dichotomy number, a quartile number, a maximum value, a minimum value, a standard deviation and a specificity coefficient, and the correlation analysis comprises the correlation analysis of the water permeability and the unit ash injection amount.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110255060.8A CN112883087A (en) | 2021-03-09 | 2021-03-09 | Dam intelligent grouting and engineering geological big data visual analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110255060.8A CN112883087A (en) | 2021-03-09 | 2021-03-09 | Dam intelligent grouting and engineering geological big data visual analysis method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112883087A true CN112883087A (en) | 2021-06-01 |
Family
ID=76053965
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110255060.8A Pending CN112883087A (en) | 2021-03-09 | 2021-03-09 | Dam intelligent grouting and engineering geological big data visual analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112883087A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103866769A (en) * | 2014-03-10 | 2014-06-18 | 天津大学 | Dam grouting construction analysis and control method based on 3D (three-dimensional) geological model and real-time monitoring |
| CN111254912A (en) * | 2020-01-21 | 2020-06-09 | 中国水利水电第七工程局成都水电建设工程有限公司 | Anchoring and grouting engineering management system based on geological logging big data |
| CN111968232A (en) * | 2020-08-11 | 2020-11-20 | 长江三峡勘测研究院有限公司（武汉） | Grouting engineering three-dimensional visualization analysis system based on BIM |
| CN112182694A (en) * | 2020-09-03 | 2021-01-05 | 长江三峡勘测研究院有限公司（武汉） | Grouting engineering overall process dynamic analysis method based on BIM system |
-
2021
- 2021-03-09 CN CN202110255060.8A patent/CN112883087A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103866769A (en) * | 2014-03-10 | 2014-06-18 | 天津大学 | Dam grouting construction analysis and control method based on 3D (three-dimensional) geological model and real-time monitoring |
| CN111254912A (en) * | 2020-01-21 | 2020-06-09 | 中国水利水电第七工程局成都水电建设工程有限公司 | Anchoring and grouting engineering management system based on geological logging big data |
| CN111968232A (en) * | 2020-08-11 | 2020-11-20 | 长江三峡勘测研究院有限公司（武汉） | Grouting engineering three-dimensional visualization analysis system based on BIM |
| CN112182694A (en) * | 2020-09-03 | 2021-01-05 | 长江三峡勘测研究院有限公司（武汉） | Grouting engineering overall process dynamic analysis method based on BIM system |
Non-Patent Citations (3)
| Title |
|---|
| 唐柏林等: "桐子林水电站大坝基础帷幕灌浆工程项目管理措施", 《云南水力发电》 * |
| 李晓超等: "苗尾水电站帷幕灌浆动态监控系统研究及应用", 《云南水力发电》 * |
| 饶小康: "水利工程灌浆大数据平台设计与实现", 《长江科学院院报》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111191880B (en) | Slope full life cycle safety management method based on digital mapping | |
| CN103592690B (en) | Method based on electric imaging logging porosity spectrum information automatic Reservoir Recognition crack | |
| CA3032777C (en) | Multivariate analysis of seismic data, microseismic data, and petrophysical properties in fracture modeling | |
| CN109933867A (en) | A kind of geotechnical engineering investigation scheme dynamic optimization method | |
| CN111441330A (en) | Foundation pit monitoring system and method based on BIM + GIS | |
| US20160061021A1 (en) | Cement Evaluation | |
| CN105912798A (en) | Ultra-deep foundation pit pumping based ground subsidence intelligent early-warning method and monitoring system | |
| KR20160056359A (en) | GIS-based real time earthquake prediction method | |
| WO2021136077A1 (en) | Analysis system and method for designing and correcting water curtain system of underground water-sealed oil storage | |
| CN111254912B (en) | Anchoring and grouting engineering management system based on geological logging big data | |
| CN111678454A (en) | Distributed monitoring system and method for coal pillar stability | |
| CN116306031B (en) | Tunnel mainframe monitoring and analyzing method based on automatic acquisition of big data | |
| CN111259335A (en) | Tunnel underpass road construction risk analysis system and method | |
| CN113322930A (en) | Combined control system and control method for construction quality of vibroflotation gravel pile | |
| CN116291271A (en) | Rock-soil body parameter inversion method and system based on while-drilling test | |
| CN110376660B (en) | Underground engineering geological disaster grouting effect real-time monitoring method | |
| CN116579214A (en) | Digital twinning-based three-dimensional visual bridge pier monitoring system and method | |
| CN104655191B (en) | Multi-parameter and three-dimensional monitoring method and monitoring probe for reservoir bank of water-level-fluctuating zone | |
| CN103046526A (en) | Method and system for remote intelligent monitoring and three-dimensional digital early warning of deep foundation pit bottom surface upheavals | |
| Ling et al. | Data acquisition-interpretation-aggregation for dynamic design of rock tunnel support | |
| CN116703166B (en) | Coal mine filling mining geological risk assessment method based on data mining | |
| CN211123324U (en) | BIM + GIS-based advanced geological forecast information system for tunnel construction | |
| CN117233861A (en) | Tunnel three-dimensional geological visualization comprehensive forecasting method | |
| CN117590466A (en) | Micro fault detection method and fault detection device | |
| CN112883087A (en) | Dam intelligent grouting and engineering geological big data visual analysis method |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210601 |