CN112504624A - Hydrodynamic landslide multi-information multi-source fusion early warning method - Google Patents
Hydrodynamic landslide multi-information multi-source fusion early warning method Download PDFInfo
- Publication number
- CN112504624A CN112504624A CN202011249758.0A CN202011249758A CN112504624A CN 112504624 A CN112504624 A CN 112504624A CN 202011249758 A CN202011249758 A CN 202011249758A CN 112504624 A CN112504624 A CN 112504624A
- Authority
- CN
- China
- Prior art keywords
- early warning
- landslide
- information
- hydrodynamic
- source
- 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
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M10/00—Hydrodynamic testing; Arrangements in or on ship-testing tanks or water tunnels
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Analytical Chemistry (AREA)
- Remote Sensing (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Fluid Mechanics (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Geology (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Pit Excavations, Shoring, Fill Or Stabilisation Of Slopes (AREA)
- Alarm Systems (AREA)
Abstract
本发明公开一种水动力型滑坡多重信息多源融合预警方法，包括：滑坡预警体系结构、预警分级、预警判据研究、多源预警信息融合、判断预警等级和发布预警信号；滑坡预警体系结构包括多重信息多源预警体系建立、预警特征点及模型参数选取、模型建立数据处理和多重预警指标特征值计算；多重信息多源滑坡预警体系包括工程类比、安全监测、数值计算及巡库勘查。采用本发明的技术方案，基于安全监测资料，全方面综合判断水动力型滑坡预警等级，该体系操作方便，适用性强，适合大范围推广应用。
The invention discloses a multi-information multi-source fusion early-warning method for hydrodynamic landslides, including: landslide early-warning system structure, early-warning classification, early-warning criterion research, multi-source early-warning information fusion, judging early-warning levels and issuing early-warning signals; Including the establishment of a multi-information and multi-source early warning system, the selection of early warning feature points and model parameters, the data processing of the model establishment and the calculation of the eigenvalues of multiple early warning indicators; the multi-information and multi-source landslide early warning system includes engineering analogy, safety monitoring, numerical calculation and inspection of the library. By adopting the technical scheme of the present invention, based on the safety monitoring data, the hydrodynamic landslide warning level is comprehensively judged in all aspects, and the system is easy to operate, has strong applicability, and is suitable for widespread application.
Description
Technical Field
The invention relates to the fields of hydroelectric engineering safety and landslide disaster prevention and control, in particular to a hydrodynamic landslide multi-information multi-source fusion early warning method.
Background
With the construction of hydropower engineering in China, particularly the formation of a large high dam reservoir, the reservoir area is often developed with potential unstable landslides and toppling deformation bodies, hydrodynamic landslides are typical ones, and the influence of the hydrodynamic force on the landslides is large. In order to prevent landslide and other geological disasters from occurring on a landslide, monitoring, early warning and forecasting are usually adopted to early warn possible accidents so as to take necessary emergency measures to perform disaster-approaching early warning and disaster prevention and reduction. Landslide early warning is generally based on surface and deep deformation, stress, groundwater level and other monitoring data forecast and issue early warning information. However, the hydrodynamic landslide is a complex dynamic system, and the landslide deformation processes of different terrain and geological structures and different hydrodynamic conditions have great difference, so that the early warning is difficult to be performed by adopting a single index and a unified criterion.
Disclosure of Invention
The invention aims to provide a hydrodynamic landslide multi-information multi-source fusion early warning method aiming at the defects in the prior art, which is a landslide monitoring and early warning forecasting technology capable of forming multi-information multi-source fusion by uniformly considering internal and external factors influencing landslide formation according to a large amount of actual landslide multi-source long-sequence monitoring data and combining analysis results such as geological conditions, engineering comparison methods, numerical calculation and the like, establishing and researching a geological disaster early warning model and a judgment basis.
The invention is realized by the following technical scheme: the invention relates to a hydrodynamic landslide multiple information multi-source fusion early warning method which comprises a landslide early warning system structure, early warning classification, early warning criterion research, multi-source early warning information fusion, early warning grade judgment and early warning signal release;
the landslide early warning system structure comprises multiple information multi-source early warning system establishment, early warning characteristic point and model parameter selection, model establishment data processing and multiple early warning index characteristic value calculation;
the early warning grade comprises a landslide early warning grade and early warning signal division;
the early warning criterion research selects early warning indexes from the aspects of engineering analogy, safety monitoring, numerical calculation and database patrol investigation, and performs threshold calculation on the early warning indexes according to specifications and relevant documents;
the multi-source early warning information fusion carries out information fusion processing through various early warning criterion information in the aspects of engineering analogy, safety monitoring, numerical calculation and inspection in a patrol warehouse to obtain the hydrodynamic landslide state and early warning information;
and judging the early warning grade and issuing the early warning signal according to the multiple-fused early warning information and issuing the corresponding early warning signal.
Furthermore, the early warning classification comprises landslide early warning grade and early warning signal division, and the stability early warning of the rock slope engineering is divided into 3 grades, namely safety, basic safety and danger, according to the design specification of the slope of hydropower engineering (DL/T5353-one 2006); very safe, basic safe, dangerous and very dangerous 5 grades can also be classified; signs such as green, blue, orange, yellow, red, etc. may also be used to indicate different degrees.
Furthermore, the multi-information multi-source early warning system of the landslide early warning system structure is established from the aspects of engineering analogy, safety monitoring, numerical calculation and database patrol investigation according to the monitoring data of the hydrodynamic landslide.
Further, safety monitoring in the establishment of the multi-information multi-source landslide early warning system comprises the action of deformation, stress and hydrodynamic force; deformation in the safety monitoring comprises surface displacement monitoring and deep displacement monitoring; the stress in the safety monitoring comprises anchor rod stress and an anchor cable dynamometer; the hydrodynamic effects in the safety monitoring include reservoir level variation and rainfall monitoring.
Further, the database patrol investigation in the establishment of the multi-information multi-source early warning system comprises crack distribution development, bank collapse in near water, upper deformation and monitoring equipment damage.
Further, deformation early warning indexes of safety monitoring in the early warning criterion research comprise total deformation, deformation rate, deformation acceleration rate and deformation rate angle; stress early warning indexes of safety monitoring in the early warning criterion research comprise anchor cable stress change rate and anchoring force change rate; the hydrodynamic force early warning indexes for safety monitoring in the early warning criterion research comprise total reservoir water level falling amplitude, daily rainfall, rainfall duration and monthly rainfall.
Further, in the early warning criterion research, numerical calculation early warning is carried out to calculate a safety coefficient according to a landslide structure, a slope strength parameter and a selected numerical model; in the early warning criterion research, a landslide database is established by engineering analogy according to a landslide rock mass structure, a landslide inclination angle, a failure mode and an induction factor, and judgment is carried out according to landslide similarity; the early warning indexes of the inspection in the early warning criterion research combine crack distribution development, bank collapse in near water, upper deformation and monitoring equipment damage into macroscopic comprehensive information.
The method and the system scientifically perform hydrodynamic landslide monitoring and early warning, have clear thought and strong adaptability, and enable the hydrodynamic landslide monitoring and early warning to be more reasonable, scientific and safe.
Drawings
To more clearly illustrate the embodiments of the present study or the design of the warning scheme for monitoring data, the following description briefly describes the embodiments or the design of the warning scheme.
Fig. 1 is a schematic diagram of an early warning structure of a hydrodynamic landslide multi-information multi-source fusion early warning method according to the invention.
Fig. 2 is a design and construction diagram of an early warning index system of the hydrodynamic landslide multi-information multi-source fusion early warning method.
Detailed Description
The following description of specific embodiments of the present invention is provided in order to better understand the present invention with reference to the accompanying drawings.
Examples
In this embodiment, fig. 1 is a schematic diagram of an early warning structure of a hydrodynamic landslide multiple information multi-source fusion early warning method, which includes a landslide early warning system structure, early warning classification, early warning criterion research, multi-source early warning information fusion, early warning grade judgment, and early warning signal release.
The landslide early warning system structure comprises multiple information multi-source early warning system establishment, early warning characteristic point and model parameter selection, model establishment data processing and multiple early warning index characteristic value calculation.
The multi-information multi-source early warning system is established from the aspects of engineering analogy, safety monitoring, numerical calculation and inspection of a patrol database according to the monitoring data of the hydrodynamic landslide. The safety monitoring in the establishment of the multi-information multi-source landslide early warning system comprises the actions of deformation, stress and hydrodynamic force; deformation in the safety monitoring comprises surface displacement monitoring and deep displacement monitoring; the stress in the safety monitoring comprises anchor rod stress and an anchor cable dynamometer; the hydrodynamic effects in the safety monitoring include reservoir level variation and rainfall monitoring.
The early warning classification comprises landslide early warning grade and early warning signal division, and the stability early warning of the rock slope engineering is divided into 3 grades, namely safety, basic safety and danger, according to the design specification of the slope of hydropower and water conservancy engineering (DL/T5353-; very safe, basic safe, dangerous and very dangerous 5 grades can also be classified; signs such as green, blue, orange, yellow, red, etc. may also be used to indicate different degrees.
Watch (A)
Landslide safety monitoring and early warning standard
The early warning criterion research selects early warning indexes from the aspects of engineering analogy, safety monitoring, numerical calculation and database patrol investigation, and performs threshold value calculation on the early warning indexes on the basis of landslide monitoring data and geological conditions. Deformation early warning indexes of safety monitoring in the early warning criterion research comprise total deformation, deformation rate, deformation acceleration rate and deformation rate angle; stress early warning indexes of safety monitoring in the early warning criterion research comprise anchor cable stress change rate and anchoring force change rate; the hydrodynamic force early warning indexes for safety monitoring in the early warning criterion research comprise total reservoir water level falling amplitude, daily rainfall, rainfall duration and monthly rainfall.
In the early warning criterion research, numerical calculation early warning is carried out to calculate a safety coefficient according to a landslide structure, a slope strength parameter and a selected numerical model; in the early warning criterion research, a landslide database is established by engineering analogy according to a landslide rock mass structure, a landslide inclination angle, a failure mode and an induction factor, and judgment is carried out according to landslide similarity; the early warning indexes of the inspection in the early warning criterion research combine crack distribution development, bank collapse in near water, upper deformation and monitoring equipment damage into macroscopic comprehensive information.
And performing information fusion processing on the multiple early warning information fusion through multiple early warning criterion information in the aspects of engineering analogy, safety monitoring, numerical calculation and database patrol, and obtaining the hydrodynamic landslide state and early warning information.
And the early warning grade judgment and the early warning information release are used for judging and releasing corresponding early warning signals according to the multiple fused early warning information.
FIG. 2 is a design and construction diagram of an early warning index system of the hydrodynamic landslide multi-information multi-source fusion early warning method. Starting from the aspects of engineering analogy, safety monitoring, numerical calculation and database patrol exploration, the early warning information of multiple parameters is fused based on the early warning criterion and the early warning level standard of each index, and the early warning level and the early warning signal of the hydrodynamic landslide are comprehensively judged.
Finally, it should be noted that: the above examples are intended only to illustrate the technical process of the invention and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention.
Claims (7)
1. A hydrodynamic landslide multiple information multi-source fusion early warning method is characterized by comprising a landslide early warning system structure, early warning classification, early warning criterion research, multi-source early warning information fusion, early warning grade judgment and early warning signal release;
the landslide early warning system structure comprises multiple information multi-source early warning system establishment, early warning characteristic point and model parameter selection, model establishment data processing and multiple early warning index characteristic value calculation;
the early warning grade comprises a landslide early warning grade and early warning signal division;
the early warning criterion research selects early warning indexes from the aspects of engineering analogy, safety monitoring, numerical calculation and database patrol investigation, and performs threshold calculation on the early warning indexes according to specifications and relevant documents;
the multi-source early warning information fusion carries out information fusion processing through various early warning criterion information in the aspects of engineering analogy, safety monitoring, numerical calculation and inspection in a patrol warehouse to obtain the hydrodynamic landslide state and early warning information;
and the early warning grade judgment and early warning signal issuing are carried out according to the multiple fused early warning information and corresponding early warning signals are issued.
2. The hydrodynamic landslide multiple-information multi-source fusion early warning method as claimed in claim 1, wherein the early warning classification comprises landslide early warning classification and early warning signal classification, and the stability early warning of the rock slope engineering is classified into 3 grades, namely safety, basic safety and danger, by referring to the design Specification for slopes of hydropower and water conservancy projects (DL/T5353-one 2006); or 5 grades of very safe, basic safe, dangerous and very dangerous; or signal lights such as green, blue, orange, yellow, red, etc. may be used to indicate different degrees.
3. The hydrodynamic landslide multi-information multi-source fusion early warning method according to claim 1, wherein the multi-information multi-source early warning system of the landslide early warning architecture is built according to monitoring data of the hydrodynamic landslide, and the method is built from aspects of engineering analogy, safety monitoring, numerical calculation and database patrol exploration.
4. The hydrodynamic force type landslide multi-information multi-source fusion early warning method according to claim 2, wherein safety monitoring in establishment of the multi-information multi-source landslide early warning system comprises deformation, stress and hydrodynamic force; deformation in the safety monitoring comprises surface displacement monitoring and deep displacement monitoring; the stress in the safety monitoring comprises anchor rod stress and an anchor cable dynamometer; the hydrodynamic effects in the safety monitoring include reservoir level variation and rainfall monitoring.
5. The hydrodynamic landslide multi-information multi-source fusion early warning method according to claim 1, wherein the database patrol investigation in the establishment of the multi-information multi-source early warning system comprises crack distribution development, bank collapse in the near water, upper deformation and monitoring equipment damage.
6. The hydrodynamic landslide multiple-information multi-source fusion early warning method according to claim 1, wherein deformation early warning indexes of safety monitoring in early warning criterion research comprise total deformation amount, deformation rate, deformation acceleration rate and deformation rate angle; stress early warning indexes of safety monitoring in the early warning criterion research comprise anchor cable stress change rate and anchoring force change rate; the hydrodynamic force early warning indexes for safety monitoring in the early warning criterion research comprise total reservoir water level falling amplitude, daily rainfall, rainfall duration and monthly rainfall.
7. The hydrodynamic landslide multiple-information multi-source fusion early warning method according to claim 1, wherein numerical calculation early warning in the early warning criterion research is performed to calculate a safety factor according to a landslide structure, a slope strength parameter and a selected numerical model; in the early warning criterion research, a landslide database is established by engineering analogy according to a landslide rock mass structure, a landslide inclination angle, a failure mode and an induction factor, and judgment is carried out according to landslide similarity; the early warning indexes of the inspection in the early warning criterion research combine crack distribution development, bank collapse in near water, upper deformation and monitoring equipment damage into macroscopic comprehensive information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011249758.0A CN112504624A (en) | 2020-11-11 | 2020-11-11 | Hydrodynamic landslide multi-information multi-source fusion early warning method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011249758.0A CN112504624A (en) | 2020-11-11 | 2020-11-11 | Hydrodynamic landslide multi-information multi-source fusion early warning method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112504624A true CN112504624A (en) | 2021-03-16 |
Family
ID=74957613
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011249758.0A Pending CN112504624A (en) | 2020-11-11 | 2020-11-11 | Hydrodynamic landslide multi-information multi-source fusion early warning method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112504624A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113789819A (en) * | 2021-09-18 | 2021-12-14 | 江苏省地质矿产局第三地质大队 | A monitoring system and method for prestressing bolts of expansive soil slopes |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881583A (en) * | 2015-06-04 | 2015-09-02 | 唐晓松 | Multi-means, dynamic and whole-process landslide prewarning method |
| CN105957311A (en) * | 2016-06-01 | 2016-09-21 | 中国水利水电科学研究院 | Adaptive expansion slope stability intelligent monitoring early warning system |
| CN109493569A (en) * | 2018-12-14 | 2019-03-19 | 深圳高速工程检测有限公司 | Come down method for early warning, device, computer equipment and storage medium |
| JP2019070961A (en) * | 2017-10-10 | 2019-05-09 | 日本信号株式会社 | Risk evaluation system |
| JP2019152567A (en) * | 2018-03-05 | 2019-09-12 | 富士通株式会社 | Calculation program, calculation method, calculation device, and display program |
-
2020
- 2020-11-11 CN CN202011249758.0A patent/CN112504624A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881583A (en) * | 2015-06-04 | 2015-09-02 | 唐晓松 | Multi-means, dynamic and whole-process landslide prewarning method |
| CN105957311A (en) * | 2016-06-01 | 2016-09-21 | 中国水利水电科学研究院 | Adaptive expansion slope stability intelligent monitoring early warning system |
| JP2019070961A (en) * | 2017-10-10 | 2019-05-09 | 日本信号株式会社 | Risk evaluation system |
| JP2019152567A (en) * | 2018-03-05 | 2019-09-12 | 富士通株式会社 | Calculation program, calculation method, calculation device, and display program |
| CN109493569A (en) * | 2018-12-14 | 2019-03-19 | 深圳高速工程检测有限公司 | Come down method for early warning, device, computer equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 李秀珍等: "滑坡预报判据研究", 《中国地质灾害与防治学报》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113789819A (en) * | 2021-09-18 | 2021-12-14 | 江苏省地质矿产局第三地质大队 | A monitoring system and method for prestressing bolts of expansive soil slopes |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110751725B (en) | Disaster occurrence tracing method based on BIM + GIS fusion technology | |
| CN103984995B (en) | The decision method of deep-foundation pit engineering risk warning indexes based on profit danger equalization point | |
| CN105957311A (en) | Adaptive expansion slope stability intelligent monitoring early warning system | |
| CN106593526B (en) | A kind of tunnel geology karst methods of risk assessment based on fuzzy Judgment | |
| CN105912798A (en) | Ultra-deep foundation pit pumping based ground subsidence intelligent early-warning method and monitoring system | |
| CN109459094B (en) | Grating displacement testing system and method based on ten-axis sensor | |
| CN112100727A (en) | Early warning prevention and control method for water inrush of water-rich tunnel under influence of fault fracture zone | |
| CN102913285B (en) | Mine roof hazard warning method | |
| CN110009872A (en) | A real-time monitoring and early warning system and method for rock slope engineering disasters | |
| CN105806311A (en) | Optical fiber slope dam displacement settlement monitoring system | |
| Yu et al. | Multivariate early warning method for rockburst monitoring based on microseismic activity characteristics | |
| CN112132314A (en) | A point domain monitoring method and system for tunnel surrounding rock block collapse | |
| CN112504624A (en) | Hydrodynamic landslide multi-information multi-source fusion early warning method | |
| CN115631607A (en) | Landslide early warning method based on GB-InSAR monitoring and deformation area expansion | |
| CN106382102A (en) | Overflow early warning method based on clustering algorithm | |
| CN115238553B (en) | Method and system for dividing dangerous areas of buried pipeline leakage and erosion | |
| Zhao et al. | A review on application of acoustic emission in coal—analysis based on citespace knowledge network | |
| CN104632150B (en) | The method that the offshore oilfield difference reasonable Liquid output of well group determines | |
| CN108734392A (en) | A kind of Grey Incidence Analysis of evaluation geological disaster influence degree | |
| Shuguang et al. | Classification method of surrounding rock of plateau tunnel based on BP neural network | |
| Yan et al. | Field study on deformation and stress characteristics of large open caisson during excavation in deep marine soft clay | |
| CN110346537B (en) | A method for judging potential rock landslides based on tectonic uplift blocks and geomorphic protrusions | |
| CN209102148U (en) | Grid displacement testing system based on ten-axis sensor | |
| CN104912122B (en) | The decision method of base pit engineering Monitoring Data alert levels | |
| CN106710149A (en) | Early warning method and system for mine dumping site |
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: 20210316 |