CN114170763B - Landslide monitoring system and method - Google Patents
Landslide monitoring system and method Download PDFInfo
- Publication number
- CN114170763B CN114170763B CN202111529965.6A CN202111529965A CN114170763B CN 114170763 B CN114170763 B CN 114170763B CN 202111529965 A CN202111529965 A CN 202111529965A CN 114170763 B CN114170763 B CN 114170763B
- Authority
- CN
- China
- Prior art keywords
- monitoring
- preset
- sequence
- track graph
- landslide
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Alarm Systems (AREA)
Abstract
A landslide monitoring system and method, wherein the system includes the monitoring center, monitors the network and gathering unit, wherein the monitoring center connects and monitors the network and gathering unit separately, monitor the network and include setting up in monitoring multiple monitoring nodes of the area evenly, multiple monitoring nodes distribute into multiple monitoring groups evenly, have the monitoring node the same in number and unrepeated in each monitoring group; a plurality of monitoring nodes have known position coordinates in the setting process, and each monitoring node is provided with an indicator, so that the system can realize real-time monitoring on landslide, and can accurately monitor changes of landslide.
Description
Technical Field
The invention relates to the field of safety monitoring, in particular to a landslide monitoring system and a landslide monitoring method.
Background
Landslide (landslides) refers to the action and phenomenon that a part of rock soil on a mountain slope generates shear displacement along a certain weak structural plane (zone) under the action of gravity (including the gravity of the rock soil and the dynamic and static pressure of underground water) to integrally move to the lower part of the slope. Commonly known as 'mountain walking', 'mountain collapse', 'ground slip', 'earth slip', etc. Is one of common geological disasters. The main inducing factors of landslide are: the continuous scouring of the slope toe by earth surface water bodies such as earthquakes, rainfall and snow melting, scouring and soaking of surface water, rivers and the like; unreasonable human engineering activities such as excavation of slope toe, stacking on the upper part of the slope body, blasting, storage (discharge) of water in a reservoir, mining and the like can induce landslide, and tsunami, storm tide, freeze thawing and the like can also induce landslide.
However, in the prior art, most of the landslide monitoring is performed by monitoring elements such as rainfall, surface displacement, soil moisture content, video, deep displacement, GNSS, underground water and the like in real time through a field monitoring station, transmitting data to a monitoring center by using communication transmission modes such as 2G/3G/4G/NB-loT/LoRa/beidou/wired and the like, setting an embedded value, and giving early warning and broadcasting through wireless early warning broadcast, short message and platform to provide real-time information service for disaster prevention and reduction. However, most of the methods are realized in an independent monitoring mode to monitor certain data for processing and indirect calculation, the precision is not high, and the modes of combining multiple modes and realizing monitoring in a mutual cooperation mode do not appear.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a landslide monitoring system and a method, which can realize real-time monitoring of landslide and can accurately monitor changes of landslide.
The invention provides a landslide monitoring system, which comprises a monitoring center, a monitoring network and an acquisition device, wherein the monitoring center is respectively connected with the monitoring network and the acquisition device, and the monitoring center comprises:
the monitoring network comprises a plurality of monitoring nodes which are uniformly arranged in a monitoring area, the plurality of monitoring nodes are uniformly distributed into a plurality of monitoring groups, and each monitoring group is provided with the same number of monitoring nodes which are not repeated; the monitoring nodes have known position coordinates in the setting process, and each monitoring node is provided with an indicator which is used for sending an indication signal; the monitoring network is used for controlling the plurality of monitoring nodes to sequentially send out indication signals according to a preset first sequence and a randomly generated second sequence;
the acquisition device is used for shooting images above the monitoring area in real time and sending the shot images to the monitoring center;
the monitoring center is used for processing the shot images, extracting the position information and the strength information of the indicating signals, sequentially connecting the positions of the indicating signals according to a first preset sequence and a randomly generated second sequence to form a preset track graph and a random track graph, and performing corresponding comparison analysis by using the preset track graph and the random track graph before and after the change of the landslide to determine the change condition of the landslide; and the system is also used for drawing a preset position track graph and a random position track graph based on the coordinate position of the monitoring node according to a preset first sequence and a randomly generated second sequence, and comparing and analyzing the preset position track graph and the random position track graph with the preset track graph and the random track graph respectively and correspondingly to determine the change condition of the mountain landslide.
In a preferred mode, the connection mode of the monitoring center respectively connected with the monitoring network and the acquisition device is a wired and/or wireless mode.
In a preferred mode, the monitoring nodes in the monitoring group are continuously adjacent, partially continuously adjacent or discontinuously adjacent.
In a preferred mode, the acquisition device is arranged above the monitoring area, and the acquisition range of the global acquisition device covers the whole monitoring area.
In a preferred mode, the global collector is a high-performance image collector.
The invention also provides a landslide monitoring method, which comprises the following steps in sequence:
(1) uniformly arranging a plurality of monitoring nodes with known position coordinates in a monitoring area, and uniformly distributing the monitoring nodes into a plurality of monitoring groups, wherein each monitoring group is provided with the same number of monitoring nodes which are not repeated;
(2) controlling a plurality of monitoring nodes to sequentially and alternately send out indication signals according to a preset first sequence and a randomly generated second sequence;
(3) shooting images above a monitoring area in real time, sending the shot images to a monitoring center for processing the shot images, extracting position information and strength information of an indicating signal, and sequentially connecting the positions of the indicating signal according to a first preset sequence and a randomly generated second sequence to form a preset track graph and a random track graph; respectively carrying out contrastive analysis by utilizing the preset track graphs or the random track graphs generated twice continuously, determining whether the corresponding mountain is monitored to have landslide or not, and if so, entering the step (6);
(4) drawing a preset position track graph and a random position track graph according to a first preset sequence and a randomly generated second sequence based on the coordinate position of the monitoring node;
(5) sequentially and alternately corresponding the preset position track graph to the preset track graph and comparing and analyzing the random position track graph corresponding to the random track graph to determine whether the monitored corresponding mountain landslide occurs, if so, entering the step (6), otherwise, returning to the step (2);
(6) and controlling a monitoring group corresponding to the target monitoring area according to the target monitoring area where landslide occurs in the mountain, and controlling monitoring nodes in the monitoring group to monitor the target monitoring area in real time.
In a preferable mode, when the monitoring nodes in the monitoring group are controlled in the step (6) to monitor the target monitoring area in real time, the monitoring nodes in the monitoring group send out indication signals according to a preset sequence or a random sequence to monitor.
The landslide monitoring system and the method thereof can realize the following steps:
1) the landslide is monitored in real time, a track graph is constructed by using an indication signal for monitoring in the landslide monitoring process for the first time, and the terrain change of an underground space can be accurately monitored;
2) by means of combination of position track graphs, random modes and the like, comparative analysis is achieved, accuracy is provided, and meanwhile the mode of multiple verification is more accurate.
Drawings
FIG. 1 is a schematic structural diagram of a landslide monitoring system;
fig. 2 is an exemplary diagram of a monitoring network structure.
Detailed Description
Reference will now be made in detail to the embodiments of the present invention, the following examples of which are intended to be illustrative only and are not to be construed as limiting the scope of the invention.
The invention provides a landslide monitoring system and a method, wherein the landslide monitoring system is shown as an attached figure 1. As shown in fig. 1, the landslide monitoring system has a structure similar to the structure distribution in the prior art, and the present invention is specifically configured based on the distribution structure in the prior art, which is described in detail below.
As shown in fig. 1, the landslide monitoring system includes a monitoring center, a monitoring network and a collecting device, wherein the monitoring center is connected to the monitoring network and the collecting device respectively, and the specific connection mode is wired and/or wireless.
Fig. 2 is a schematic diagram of a monitoring network. As shown in fig. 2, a plurality of monitoring nodes are uniformly arranged in a monitoring area of a landslide, the plurality of monitoring nodes are uniformly distributed into a plurality of monitoring groups, each monitoring group has monitoring nodes with the same number and without repetition, and the nodes in the monitoring groups may be continuously adjacent to each other or not, as long as the monitoring nodes in the monitoring groups can completely cover part of a target area of the monitoring area (the target area is an area that needs to be locally monitored). The monitoring nodes have known position coordinates in the setting process, and each monitoring node is provided with an indicator which is used for sending an indicating signal, such as an LED, a laser lamp and other indicating devices.
In the monitoring process, the plurality of monitoring nodes sequentially send out indicating signals according to a preset first sequence or a randomly generated second sequence by using the indicator, the acquisition device shoots images above a monitoring area in real time and sends the shot images to the monitoring center, the monitoring center processes the shot images, the indicating signal position information and the intensity information are extracted, and the indicating signal positions are sequentially connected according to the first preset sequence or the randomly generated second sequence to form a preset track graph or a random track graph.
The change of the landslide can monitor the deviation of the node, and the corresponding indicator can also generate the position deviation, so that the monitoring center performs comparative analysis by using a preset track graph or a random track graph before and after the change of the landslide, namely whether the corresponding landslide and the change condition of the landslide occur are monitored, and centralized monitoring is realized. Although the track graph may not be changed due to the deviation only in the vertical direction, the probability is low, the monitoring nodes are arranged on different mountain heights when being arranged in the mountain area, deviation with angles usually occurs, monitoring can be achieved, the displacement can be overcome by arranging the shooting device with a tiny offset angle, and meanwhile, the displacement only in the vertical direction can be judged by utilizing the imaging size of the monitoring device in the shot image. And the monitoring node server sends the processing result to the monitoring service center, so that the monitoring service center can realize centralized monitoring.
As shown in fig. 2, in order to monitor a part of key areas in a monitoring area concerned or key areas of a landslide part, a plurality of monitoring groups are provided, each monitoring group is provided with monitoring nodes with the same number but without repetition, the monitoring area can be correspondingly divided into a plurality of target areas for monitoring, and for a target area needing to be concerned, only the monitoring nodes in the area can be selected to realize monitoring, for example, one of the monitoring groups in fig. 2 sends indication signals to monitor according to the sequence of a- > b- > c- > d- > e- > f- > g- > h, where the sequence may be preset or random.
Each monitoring group monitors a small area, and in order to monitor a larger area, data of a plurality of monitoring groups needs to be combined, and if the whole monitoring area is monitored, all monitoring groups, namely all monitoring nodes, can be utilized. In the existing method, an SAR image can be used to monitor a large-scale area, and the change of the monitored area is determined by the change of a target object in the SAR image. But only the image information is utilized, the monitoring mode of the whole area is single, and the precision is relatively low.
Furthermore, when the monitoring nodes are arranged, the positions of the monitoring nodes are set, namely the position coordinates of the monitoring nodes are known, and when the acquisition device is arranged, the shooting areas of the monitoring nodes correspond to the coordinate areas established by the monitoring nodes, namely, images shot in real time by the monitoring areas have position mapping relations corresponding to the monitoring areas, so that the coordinate positions of the monitoring nodes can be directly utilized after shooting, and the monitoring nodes in a standard environment (the mountain body is not changed) are correspondingly displayed in the shot images. Because the positions of all monitoring nodes are known and are set in a standard environment, a preset position track graph and a random position track graph can be drawn based on the coordinate positions of the monitoring nodes according to a preset first sequence or a randomly generated second sequence, so that the graph generated based on the coordinates is compared with the graph drawn by using a shot image to determine and monitor the change condition of the mountain landslide, specifically, the preset position track graph and the random position track graph are respectively and correspondingly compared and analyzed with the preset track graph and the random track graph, and the change condition of the mountain landslide is monitored.
Aiming at a specific implementation method mode, the invention also provides a landslide monitoring method, which comprises the following steps of:
(1) uniformly arranging a plurality of monitoring nodes with known position coordinates in a monitoring area, uniformly distributing the monitoring nodes into a plurality of monitoring groups, wherein each monitoring group is provided with the same number of monitoring nodes which are not repeated;
(2) controlling a plurality of monitoring nodes to sequentially and alternately send out indication signals according to a preset first sequence and a randomly generated second sequence;
(3) shooting images above a monitoring area in real time, sending the shot images to a monitoring center for processing the shot images, extracting position information and strength information of an indicating signal, and sequentially connecting the positions of the indicating signal according to a first preset sequence and a randomly generated second sequence to form a preset track graph and a random track graph; respectively carrying out contrastive analysis by utilizing the preset track graphs or the random track graphs generated twice continuously, determining whether the corresponding mountain is monitored to have landslide or not, and if so, entering the step (6);
(4) drawing a preset position track graph and a random position track graph according to a first preset sequence and a randomly generated second sequence based on the coordinate position of the monitoring node;
(5) sequentially and alternately comparing and analyzing the preset position track graph corresponding to the preset track graph and the random position track graph corresponding to the random track graph, determining whether the corresponding mountain is monitored to have landslide or not, if so, entering the step (6), otherwise, returning to the step (2);
(6) and controlling a monitoring group corresponding to the target monitoring area according to the target monitoring area where landslide occurs in the mountain, and controlling monitoring nodes in the monitoring group to monitor the target monitoring area in real time.
When the monitoring nodes in the monitoring group are controlled to monitor the target monitoring area in real time in the step (6), the monitoring nodes in the monitoring group send out indication signals according to a preset sequence or a random sequence to monitor.
Although exemplary embodiments of the present invention have been described for illustrative purposes, those skilled in the art will appreciate that various modifications, additions, substitutions and the like can be made in form and detail without departing from the scope and spirit of the invention as disclosed in the accompanying claims, all of which are intended to fall within the scope of the claims, and that various steps in the various sections and methods of the claimed product can be combined together in any combination. Therefore, the description of the embodiments disclosed in the present invention is not intended to limit the scope of the present invention, but to describe the present invention. Accordingly, the scope of the present invention is not limited by the above embodiments, but is defined by the claims or their equivalents.
Claims (7)
1. The utility model provides a landslide monitored control system which characterized in that: including surveillance center, monitoring network and collection system, wherein surveillance center connects monitoring network and collection system respectively, wherein:
the monitoring network comprises a plurality of monitoring nodes which are uniformly arranged in a monitoring area, the plurality of monitoring nodes are uniformly distributed into a plurality of monitoring groups, and each monitoring group is provided with the same number of monitoring nodes which are not repeated; the monitoring nodes have known position coordinates in the setting process, and each monitoring node is provided with an indicator which is used for sending an indication signal; the monitoring network is used for controlling the plurality of monitoring nodes to sequentially send out indication signals according to a preset first sequence and a randomly generated second sequence;
the acquisition device is used for shooting images above the monitoring area in real time and sending the shot images to the monitoring center;
the monitoring center is used for processing the shot images, extracting position information and intensity information of the indicating signals, sequentially connecting the positions of the indicating signals according to a first preset sequence and a randomly generated second sequence to form a preset track graph and a random track graph, and performing corresponding comparative analysis by using the preset track graph and the random track graph before and after the landslide changes to determine the change condition of the landslide; and the system is also used for drawing a preset position track graph and a random position track graph based on the coordinate position of the monitoring node according to a preset first sequence and a randomly generated second sequence, and comparing and analyzing the preset position track graph and the random position track graph with the preset track graph and the random track graph respectively and correspondingly to determine the change condition of the mountain landslide.
2. The system of claim 1, wherein: the monitoring center is respectively connected with the monitoring network and the acquisition device in a wired and/or wireless way.
3. The system of claim 2, wherein: the monitoring nodes in the monitoring group are continuously adjacent, partially continuously adjacent or discontinuously adjacent.
4. The system of claim 3, wherein: the acquisition device is arranged above the monitoring area, and the acquisition range of the global acquisition device covers the whole monitoring area.
5. The system of claim 4, wherein: the global collector is a high-performance image collector.
6. A landslide monitoring method implemented using the landslide monitoring system of any one of claims 1-5, comprising the steps of, in order:
(1) uniformly arranging a plurality of monitoring nodes with known position coordinates in a monitoring area, and uniformly distributing the monitoring nodes into a plurality of monitoring groups, wherein each monitoring group is provided with the same number of monitoring nodes which are not repeated;
(2) controlling a plurality of monitoring nodes to sequentially and alternately send out indication signals according to a preset first sequence and a randomly generated second sequence;
(3) shooting images above a monitoring area in real time, sending the shot images to a monitoring center for processing the shot images, extracting position information and strength information of an indicating signal, and sequentially connecting the positions of the indicating signal according to a first preset sequence and a randomly generated second sequence to form a preset track graph and a random track graph; respectively carrying out contrastive analysis by utilizing the preset track graphs or the random track graphs generated twice continuously, determining whether the corresponding mountain is monitored to have landslide or not, and if so, entering the step (6);
(4) drawing a preset position track graph and a random position track graph according to a first preset sequence and a randomly generated second sequence based on the coordinate position of the monitoring node;
(5) sequentially and alternately corresponding the preset position track graph to the preset track graph and comparing and analyzing the random position track graph corresponding to the random track graph to determine whether the monitored corresponding mountain landslide occurs, if so, entering the step (6), otherwise, returning to the step (2);
(6) and controlling a monitoring group corresponding to the target monitoring area according to the target monitoring area where landslide occurs in the mountain, and controlling monitoring nodes in the monitoring group to monitor the target monitoring area in real time.
7. The method of claim 6, wherein: and (6) when the monitoring nodes in the monitoring group are controlled to monitor the target monitoring area in real time, the monitoring nodes in the monitoring group send out indication signals according to a preset sequence or a random sequence for monitoring.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111529965.6A CN114170763B (en) | 2021-12-06 | 2021-12-06 | Landslide monitoring system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111529965.6A CN114170763B (en) | 2021-12-06 | 2021-12-06 | Landslide monitoring system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114170763A CN114170763A (en) | 2022-03-11 |
| CN114170763B true CN114170763B (en) | 2022-09-23 |
Family
ID=80486526
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111529965.6A Active CN114170763B (en) | 2021-12-06 | 2021-12-06 | Landslide monitoring system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114170763B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1345044A1 (en) * | 2000-02-08 | 2003-09-17 | Cambridge Consultants Limited | Methods and apparatus for obtaining positional information |
| CN102879603A (en) * | 2012-09-26 | 2013-01-16 | 河海大学 | Balloon-carried type water flow imaging and speed measurement system facing torrential flood emergency monitoring |
| CN106844761A (en) * | 2017-02-21 | 2017-06-13 | 中国公路工程咨询集团有限公司 | Highway Geological Disaster multi-source information monitoring warning device |
| CN108253945A (en) * | 2017-12-29 | 2018-07-06 | 广西三维遥感信息工程技术有限公司 | Landslide analysis method based on unmanned plane |
| CN112606595A (en) * | 2020-12-20 | 2021-04-06 | 蚌埠学院 | Device for predicting mountain landslide based on mathematical function image drawing method |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101770027B (en) * | 2010-02-05 | 2012-05-16 | 河海大学 | Ground surface three-dimensional deformation monitoring method based on InSAR and GPS data fusion |
| CN102305610B (en) * | 2011-05-11 | 2012-10-24 | 北方工业大学 | Dynamic theory and method for judging movement of earth surface of side slope |
| CN103514711A (en) * | 2013-10-15 | 2014-01-15 | 兰州大学 | Debris flow disaster early warning system based on wireless sensor network |
| JP6908380B2 (en) * | 2016-12-28 | 2021-07-28 | ラピスセミコンダクタ株式会社 | Ground movement detection device, wireless tag, ground movement detection method and disaster relief support system |
| CN111006593A (en) * | 2019-12-13 | 2020-04-14 | 武汉纵横天地空间信息技术有限公司 | Method and system for monitoring mountain landform and predicting landslide by using unmanned aerial vehicle |
| CN113240886A (en) * | 2021-04-23 | 2021-08-10 | 北京建筑大学 | Geological disaster monitoring method and system and electronic equipment |
-
2021
- 2021-12-06 CN CN202111529965.6A patent/CN114170763B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1345044A1 (en) * | 2000-02-08 | 2003-09-17 | Cambridge Consultants Limited | Methods and apparatus for obtaining positional information |
| CN102879603A (en) * | 2012-09-26 | 2013-01-16 | 河海大学 | Balloon-carried type water flow imaging and speed measurement system facing torrential flood emergency monitoring |
| CN106844761A (en) * | 2017-02-21 | 2017-06-13 | 中国公路工程咨询集团有限公司 | Highway Geological Disaster multi-source information monitoring warning device |
| CN108253945A (en) * | 2017-12-29 | 2018-07-06 | 广西三维遥感信息工程技术有限公司 | Landslide analysis method based on unmanned plane |
| CN112606595A (en) * | 2020-12-20 | 2021-04-06 | 蚌埠学院 | Device for predicting mountain landslide based on mathematical function image drawing method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114170763A (en) | 2022-03-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN215006896U (en) | Satellite-ground cooperative slope multi-risk factor combined real-time monitoring and early warning system | |
| EP3329212B1 (en) | System and method for detecting ground position changes | |
| CN111932832A (en) | Construction engineering environment disaster accident monitoring and early warning method | |
| CN111243241A (en) | Landslide early warning system | |
| CN104950782A (en) | Remote deformation characteristic monitoring system for mountain highway tunnel construction | |
| CN108765880A (en) | Geological disaster monitors in real time and early warning system | |
| CN115762067B (en) | Landslide monitoring system based on laser point cloud and video data fusion | |
| CN108955775B (en) | Positioning monitoring device and method with RDSS function | |
| Yadav et al. | Monitoring and temporal study of mining area of Jodhpur City using remote sensing and GIS | |
| JP6644970B2 (en) | Observation system | |
| CN206556700U (en) | Rolling Stone slides monitoring and state simulation system in real time | |
| CN113865495A (en) | Wireless monitoring system and method for slope deformation | |
| CN114170763B (en) | Landslide monitoring system and method | |
| CN113421404B (en) | Satellite-ground cooperative slope multi-risk factor combined real-time monitoring and early warning method | |
| CN113108681A (en) | Beidou-based power infrastructure construction geological environment monitoring method and system | |
| CN106781289A (en) | Blow out monitoring device of the construction to the motion of massif talus in a kind of tunnel | |
| CN111949727A (en) | Ecological environment visualization control method and system based on block chain | |
| CN115457739B (en) | Geological disaster early warning method and device, electronic equipment and storage medium | |
| CN116295641A (en) | Sky-ground integrated intelligent monitoring system for highway slope | |
| CN114222041B (en) | Underground space safety prevention and control system and method | |
| CN110264671A (en) | A kind of prediction technique based on multi-sensor information fusion in landslide | |
| CN113053065B (en) | Expressway integrated monitoring and early warning platform system based on 5G and Beidou navigation system and use method thereof | |
| CN210072879U (en) | Intelligent monitoring system for landslide disasters | |
| CN110958320A (en) | Online automatic monitoring system and method based on Internet of things | |
| CN113375563B (en) | Landslide displacement monitoring method and system by fusing laser LIDAR and video |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |