CN111199632A - Rapid emergency monitoring system and method for landslide along river - Google Patents
Rapid emergency monitoring system and method for landslide along river Download PDFInfo
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Abstract
The invention discloses a rapid emergency monitoring system and a rapid emergency monitoring method for landslide along a river, which comprises the following steps: satellite remote sensing positioning, wherein an instruction is sent to a ground base station arranged in an area near a landslide; the ground base station sends the unmanned aerial vehicle and the unmanned ship to a disaster site, a high-definition camera carried by the unmanned aerial vehicle and a high-low dual-frequency ultrasonic detector, a current meter and a turbidity meter carried by the unmanned ship acquire original data of a disaster-stricken river channel, the original data are sent to a cloud-end database for calculation, a calculation result is fed back to the ground base station, the ground base station establishes a landslide disaster form, a river channel blocking condition and a two-dimensional and three-dimensional imaging model of river channel pollutant distribution according to the result, the original data and a processing result are stored in a cloud-end large data platform, and the processing result is sent to a relevant department for rapid disaster relief guidance. The invention solves the problem that roads in the disaster area along the river are blocked and communication equipment is broken down and cannot communicate with the outside, can quickly respond to and monitor the landslide disaster situation along the river and provides disaster relief reference for relevant departments.
Description
Technical Field
The invention relates to the technical field of landslide hazard treatment, in particular to a rapid emergency monitoring system and method for landslide hazard along rivers.
Background
Landslide is often caused in hillside areas, even though disasters cannot reach a very large range, rocks can rapidly slide off when the disasters are caused, and the disasters are very sudden, so that the disasters are inevitably very difficult to avoid once encountering the disasters. If bad weather occurs, such as rainstorm weather, immeasurable destructive power can be caused, even a barrage lake is formed to seriously affect the navigation traffic, immeasurable loss can be caused to the environment, financial resources and personnel, and the method is very important for carrying out disaster monitoring and emergency rescue in time.
Particularly, along a river landslide, disaster areas often cannot communicate with the outside due to road blockage and communication equipment paralysis in disaster areas, disaster data are difficult to obtain quickly, rapid rescue cannot be carried out, the threat of water area landslide is different from land landslide, and hundreds of millions of losses can be caused by the problems of channel blockage and water pollution, so that in order to improve the landslide disaster emergency response speed and accuracy, a safe, effective and accurate method for monitoring the landslide disasters along the river needs to be developed.
Disclosure of Invention
The invention aims to provide a rapid emergency monitoring system and method for landslide along a river.
The technical scheme adopted for achieving the purpose of the invention is that the rapid emergency monitoring system for the landslide hazard along the river comprises a data collection module M1, a data analysis processing module M2 in a cloud database, a modeling imaging module M3 and an output module M4.
The data collection module M1 includes sub-module M11, sub-module M12, sub-module M13, and sub-module M14.
The ground base station is arranged on a landslide section and is provided with an unmanned aerial vehicle, an unmanned ship and a satellite communication system. And the satellite remote sensing collects disaster coordinate information and disaster grade information and stores the disaster coordinate information and the disaster grade information in the submodule M11, and the submodule M11 sends the information to the ground base station through the satellite communication system.
Unmanned aerial vehicle and unmanned ship are sent out to the disaster area to ground basic station, and the high definition camera that unmanned aerial vehicle carried on shoots the disaster area, and the wounded personnel of river course both sides residential area and the interior stranded personnel quantity and the locating information of river course that will collect are deposited in submodule M13, and the monitoring data of the long and wide height of landslide, the condition of blocking of the surface of water and the obstacle navigation condition are deposited in submodule M12.
The unmanned ship is provided with a high-low dual-frequency ultrasonic detector, a flow meter and a turbidity meter, the high-low dual-frequency ultrasonic detector detects underwater deposition volume and deposition form, and detects the underwater sliding distance of a landslide and the influence on a navigation channel. The current meter monitors the flow rate of a river channel on a landslide section, the turbidity meter collects the water pollution degree, and the unmanned ship stores monitoring data into the submodule M14.
The data analysis processing module M2 in the cloud database includes a sub-module M21, a sub-module M22, and a sub-module M23. The data collection module M1 transmits all the measured data to the submodule M21 for processing and calculation, and the submodule M21 stores the measured data and the calculation result in the landslide disaster situation information of the previous year and stores the information in the submodule M23 for storage. Whether landslide occurs again in the vicinity of the disaster area is analyzed based on the geological data, the hydrological data and the field disaster data, the safety risk of the rescue work of landslide is evaluated, and the result is stored in the submodule M22.
And the cloud database sends the data processing result to the ground base station, and the ground base station establishes a three-dimensional imaging model of landslide shape and volume by using MATLAB and stores the three-dimensional imaging model in a submodule M31 of a modeling imaging module M3. And the ground base station establishes a three-dimensional imaging model of the river channel blocking condition by using MATLAB and stores the three-dimensional imaging model in a submodule M32 of a modeling imaging module M3. The ground base station uses WASP to establish a two-dimensional imaging model of river pollutant distribution, and the two-dimensional imaging model is stored in a sub-module M33 of a modeling imaging module M3.
The modeling and mapping module M3 sends information to the control end or the mobile phone end through the output module M4, and disaster relief personnel or related department staff carry out disaster relief according to information displayed by the control end or the mobile phone end. The output module M4 includes a sub-module M41, a sub-module M42, a sub-module M43, a sub-module M44, and a sub-module M45.
The sub-module M41 analyzes and displays the number of people in the rescue team and rescue guidance information, the sub-module M42 analyzes and displays a prediction result of whether the landslide is going to occur again and gives rescue time, the sub-module M43 guides dredging departments according to the river reach blocking degree and the underwater accumulation volume, the sub-module M44 gives guidance on safe water use to water supply departments and nearby residents according to the river pollution range, and the sub-module M45 sends actual field measurement data of the landslide disaster stored in the past year to relevant departments and colleges and universities to provide data for experimental research of the landslide disaster.
A rapid emergency monitoring method for landslide disasters along rivers is based on the monitoring system and comprises the following steps:
1) the ground base station is set up in the vicinity of a landslide area according to geological exploration analysis. Wherein the ground base station is equipped with an unmanned aerial vehicle, an unmanned ship and a satellite communication system.
2) The specific longitude and latitude coordinates of the disaster area are located through satellite remote sensing, the grade of the landslide is determined through satellite remote sensing, coordinate information and disaster grade information are stored in a submodule M11, and the submodule M11 sends the information to a ground base station.
3) The ground base station sends out unmanned aerial vehicle and goes to the point of suffering from a disaster, and the high definition camera that unmanned aerial vehicle carried on shoots the disaster area, and the wounded personnel in river course both sides residential area and the interior stranded personnel quantity and the locating information of river course that will collect are deposited in submodule M13, and the monitoring data of the length and width height of landslide, the blocking condition of the surface of water and the condition of hindering navigation are deposited in submodule M12.
4) The ground base station sends out an unmanned ship, the unmanned ship is provided with a high-low dual-frequency ultrasonic detector, a flow velocity meter and a turbidity meter, and the high-low dual-frequency ultrasonic detector detects underwater deposition square amount and deposition form and detects the underwater sliding distance of a landslide and the influence on a navigation channel. The current meter monitors the flow rate of a river channel on a landslide section, the turbidity meter collects the water pollution degree, and the unmanned ship stores monitoring data into the submodule M14.
5) The data collection module M1 transmits all the measured data to the submodule M21 for processing and calculation, and the submodule M21 stores the measured data and the calculation result in the landslide disaster situation information of the previous year and stores the information in the submodule M23 for storage.
6) Whether landslide occurs again in the vicinity of the disaster area is analyzed based on geological data, hydrological data and field disaster data, safety risk of rescue work of landslide is evaluated, and the result is stored in the submodule M22.
7) And the cloud database sends the data processing result to the ground base station, and the ground base station establishes a three-dimensional imaging model of landslide shape and volume by using MATLAB and stores the three-dimensional imaging model in a submodule M31 of a modeling imaging module M3. And the ground base station establishes a three-dimensional imaging model of the river channel blocking condition by using MATLAB and stores the three-dimensional imaging model in a submodule M32 of a modeling imaging module M3. The ground base station uses WASP to establish a two-dimensional imaging model of river pollutant distribution, and the two-dimensional imaging model is stored in a sub-module M33 of a modeling imaging module M3.
8) The modeling and mapping module M3 sends information to the control end or the mobile phone end through the output module M4, and disaster relief personnel or related department staff carry out disaster relief according to information displayed by the control end or the mobile phone end.
Further, in step 8), the output module M4 includes a sub-module M41, a sub-module M42, a sub-module M43, a sub-module M44, and a sub-module M45.
The sub-module M41 analyzes and displays the number of people in the rescue team and rescue guidance information, the sub-module M42 analyzes and displays a prediction result of whether the landslide is going to occur again and gives rescue time, the sub-module M43 guides dredging departments according to the river reach blocking degree and the underwater accumulation volume, the sub-module M44 gives guidance on safe water use to water supply departments and nearby residents according to the river pollution range, and the sub-module M45 sends actual field measurement data of the landslide disaster stored in the past year to relevant departments and colleges and universities to provide data for experimental research of the landslide disaster.
The invention has the beneficial effects that:
1. according to the unmanned ship provided with the high-low double-frequency ultrasonic detector, the underwater accumulation volume and accumulation form of a landslide can be rapidly collected, the blocking degree of a channel and the distribution of river pollutants can be rapidly collected, and a two-dimensional and three-dimensional image model can be drawn;
2. according to the invention, through a cooperative quick response mechanism of the satellite, the unmanned aerial vehicle and the unmanned ship, the problem that roads in a disaster area are blocked and communication equipment is paralyzed so that the roads cannot be communicated with the outside is solved, and the specific situations of the landslide along the river, particularly the water disaster, can be quickly monitored;
3. the method disclosed by the invention is combined with a cloud data processing platform, so that the data can be rapidly and accurately processed, the disaster situation result can be transmitted to relevant departments, and the optimal rescue time and rescue team quantity suggestion can be given;
4. the method provided by the invention is combined with a cloud big data storage platform, and can be used for storing all landslide disaster site actual measurement data throughout the year for a long time and providing data support for landslide research of relevant departments and colleges.
Drawings
FIG. 1 is a schematic view of a rapid emergency monitoring system for landslide along a river;
FIG. 2 is a schematic view of an unmanned ship detecting siltation and water parameters;
fig. 3 is a schematic view of a modular structure of a rapid emergency monitoring system for landslide disasters along a river.
In the figure: the system comprises a remote sensing satellite 1, a ground base station 2, an unmanned aerial vehicle 3, an unmanned ship 4, a cloud database 5, a high-low double-frequency ultrasonic detector 6, a landslide body 7, a flow meter 8 and a turbidity meter 9.
Detailed Description
The present invention is further illustrated by the following examples, but it should not be construed that the scope of the above-described subject matter is limited to the following examples. Various substitutions and alterations can be made without departing from the technical idea of the invention and the scope of the invention is covered by the present invention according to the common technical knowledge and the conventional means in the field.
Example 1:
the embodiment discloses a rapid emergency monitoring system for landslide disasters along a river, which comprises a data collection module M1, a data analysis and processing module M2 in a cloud database 5, a modeling and mapping module M3 and an output module M4.
Referring to fig. 3, the data collection module M1 includes a sub-module M11, a sub-module M12, a sub-module M13, and a sub-module M14.
Referring to fig. 1, a ground base station 2 is set up in a landslide section, and the ground base station 2 is equipped with an unmanned aerial vehicle 3, an unmanned ship 4, and a satellite communication system. The satellite remote sensing 1 collects disaster coordinate information and disaster grade information and stores the disaster coordinate information and the disaster grade information in the submodule M11, and the submodule M11 sends the information to the ground base station 2 through a satellite communication system.
Ground basic station 2 sends out unmanned aerial vehicle 3 and unmanned ship 4 and goes to the disaster area, and the high definition camera that unmanned aerial vehicle 3 carried on shoots the disaster area, and the wounded personnel in the river course both sides residential area who will collect and stranded personnel quantity and locating information in the river course are deposited in submodule piece M13, and the monitoring data of the long and wide height of landslide, the blocking condition of the surface of water and the obstacle navigation condition is deposited in submodule piece M12.
Referring to fig. 2, the unmanned ship 4 is equipped with a high-low dual-frequency ultrasonic detector 6, a flow meter 8 and a turbidity meter 9, and the high-low dual-frequency ultrasonic detector 6 detects the underwater deposition volume and deposition form, and detects the underwater sliding distance of a landslide and the influence on a navigation channel. The current meter 8 monitors the flow rate of the river channel on the landslide section, the turbidity meter 9 collects the water pollution degree, and the unmanned ship 4 stores monitoring data into the submodule M14.
The data analysis processing module M2 in the cloud database 5 includes a sub-module M21, a sub-module M22, and a sub-module M23. The data collection module M1 transmits all the measured data to the submodule M21 for processing and calculation, and the submodule M21 stores the measured data and the calculation result in the landslide disaster situation information of the previous year and stores the information in the submodule M23 for storage. Whether landslide occurs again in the vicinity of the disaster area is analyzed based on the geological data, the hydrological data and the field disaster data, the safety risk of the rescue work of landslide is evaluated, and the result is stored in the submodule M22.
The cloud database 5 sends the data processing result to the ground base station 2, and the ground base station 2 establishes a three-dimensional imaging model of landslide shape and volume by using MATLAB and stores the three-dimensional imaging model in the submodule M31 of the modeling imaging module M3. The ground base station 2 uses MATLAB to establish a three-dimensional imaging model of the river channel blocking condition, and stores the three-dimensional imaging model in a sub-module M32 of a modeling imaging module M3. The ground base station 2 uses the WASP to establish a two-dimensional imaging model of the river pollutant distribution, and the two-dimensional imaging model is stored in a sub-module M33 of a modeling imaging module M3.
The modeling and mapping module M3 sends information to the control end or the mobile phone end through the output module M4, and disaster relief personnel or related department staff carry out disaster relief according to information displayed by the control end or the mobile phone end. The output module M4 includes a sub-module M41, a sub-module M42, a sub-module M43, a sub-module M44, and a sub-module M45.
Referring to fig. 3, the sub-module M41 analyzes and displays the number of people in the disaster relief team and disaster relief guidance information, the sub-module M42 analyzes and displays a prediction result of whether the people will slide again and gives out disaster relief time, the sub-module M43 guides a dredging department according to the river reach blocking degree and underwater accumulation volume, the sub-module M44 gives guidance on safe water use to a water supply department and nearby residents according to the river pollution range, and the sub-module M45 sends actual measurement data of the landslide disaster site stored in the past year to relevant departments and colleges and universities to provide data for experimental research on the landslide disaster site.
Example 2:
based on the monitoring system of embodiment 1, the embodiment discloses a rapid emergency monitoring method for landslide disasters along rivers, which comprises the following steps:
1) the ground base station 2 is set up in the vicinity of a landslide area according to geological exploration analysis. Wherein the ground base station 2 is equipped with a drone 3, a drone 4 and a satellite communication system.
2) The satellite remote sensing 1 is used for positioning specific longitude and latitude coordinates of a disaster area, the satellite remote sensing 1 is used for determining the size grade of a landslide, coordinate information and disaster grade information are stored in a submodule M11, and the submodule M11 is used for sending the information to a ground base station 2.
3) Ground basic station 2 sends out unmanned aerial vehicle 3 and goes to the point of suffering from a disaster, and the high definition camera that unmanned aerial vehicle 3 carried on shoots the disaster area, and the wounded personnel of river course both sides residential area and the interior stranded personnel quantity and the locating information of river course that will collect are deposited in submodule piece M13, and the monitoring data of the condition of blocking of length and width height, the surface of water of landslide and the obstacle navigation condition is deposited in submodule piece M12.
4) The ground base station 2 sends out an unmanned ship 4, the unmanned ship 4 is provided with a high-low dual-frequency ultrasonic detector 6, a flow meter 8 and a turbidity meter 9, and the high-low dual-frequency ultrasonic detector 6 detects underwater deposition volume and deposition form and detects the underwater sliding distance of a landslide and the influence on a channel. The current meter 8 monitors the flow rate of the river channel on the landslide section, the turbidity meter 9 collects the water pollution degree, and the unmanned ship 4 stores monitoring data into the submodule M14.
5) The data collection module M1 transmits all the measured data to the submodule M21 for processing and calculation, and the submodule M21 stores the measured data and the calculation result in the landslide disaster situation information of the previous year and stores the information in the submodule M23 for storage.
6) Whether landslide occurs again in the vicinity of the disaster area is analyzed based on geological data, hydrological data and field disaster data, safety risk of rescue work of landslide is evaluated, and the result is stored in the submodule M22.
7) The cloud database 5 sends the data processing result to the ground base station 2, and the ground base station 2 establishes a three-dimensional imaging model of landslide shape and volume by using MATLAB and stores the three-dimensional imaging model in the submodule M31 of the modeling imaging module M3. The ground base station 2 uses MATLAB to establish a three-dimensional imaging model of the river channel blocking condition, and stores the three-dimensional imaging model in a sub-module M32 of a modeling imaging module M3. The ground base station 2 uses the WASP to establish a two-dimensional imaging model of the river pollutant distribution, and the two-dimensional imaging model is stored in a sub-module M33 of a modeling imaging module M3.
8) The modeling and mapping module M3 sends information to the control end or the mobile phone end through the output module M4, and disaster relief personnel or related department staff carry out disaster relief according to information displayed by the control end or the mobile phone end.
The output module M4 includes a sub-module M41, a sub-module M42, a sub-module M43, a sub-module M44, and a sub-module M45.
The sub-module M41 analyzes and displays the number of people in the rescue team and rescue guidance information, the sub-module M42 analyzes and displays a prediction result of whether the landslide is going to occur again and gives rescue time, the sub-module M43 guides dredging departments according to the river reach blocking degree and the underwater accumulation volume, the sub-module M44 gives guidance on safe water use to water supply departments and nearby residents according to the river pollution range, and the sub-module M45 sends actual field measurement data of the landslide disaster stored in the past year to relevant departments and colleges and universities to provide data for experimental research of the landslide disaster.
Claims (3)
1. The utility model provides a quick emergent monitoring system of coast landslide calamity which characterized in that: the system comprises a data collection module M1, a data analysis processing module M2 in a cloud database (5), a modeling mapping module M3 and an output module M4;
the data collection module M1 comprises sub-module M11, sub-module M12, sub-module M13 and sub-module M14;
the ground base station (2) is arranged on a landslide section, and the ground base station (2) is provided with an unmanned aerial vehicle (3), an unmanned ship (4) and a satellite communication system; the method comprises the steps that satellite remote sensing (1) collects disaster coordinate information and disaster grade information and stores the disaster coordinate information and the disaster grade information in a submodule M11, and the submodule M11 sends the information to a ground base station (2) through a satellite communication system;
the ground base station (2) sends the unmanned aerial vehicle (3) and the unmanned ship (4) to a disaster site, a high-definition camera carried by the unmanned aerial vehicle (3) shoots a disaster area, collected wounded personnel in residential areas on two sides of a river channel and the number and positioning information of the wounded personnel in the river channel and the number and the positioning information of the trapped personnel in the river channel are stored in a submodule M13, and monitoring data of the length, the width and the height of a landslide, the blocking condition of the water surface and the navigation blocking condition are stored in a submodule M12;
the unmanned ship (4) is provided with a high-low dual-frequency ultrasonic detector (6), a flow velocity meter (8) and a turbidity meter (9), the high-low dual-frequency ultrasonic detector (6) is used for detecting underwater sedimentation volume and sedimentation form, and detecting the underwater sliding distance of a landslide and the influence on a channel; the flow meter (8) monitors the flow rate of a river channel on a landslide section, the turbidity meter (9) collects the water pollution degree, and the unmanned ship (4) stores monitoring data into the submodule M14;
the data analysis processing module M2 in the cloud database (5) comprises a submodule M21, a submodule M22 and a submodule M23; the data collection module M1 transmits all the measured data to the submodule M21 for processing and calculation, and the submodule M21 stores the measured data and the calculation result in the landslide disaster situation information of the previous year and stores the information in the submodule M23 for storage; analyzing whether landslide occurs again near the disaster area or not based on the geological data, the hydrological data and the field disaster data, evaluating the safety risk of the rescue work of the landslide, and storing the result in a submodule M22;
the cloud database (5) sends the data processing result to the ground base station (2), and the ground base station (2) establishes a three-dimensional imaging model of landslide shape and volume by using MATLAB and stores the three-dimensional imaging model in a submodule M31 of a modeling imaging module M3; the ground base station (2) uses MATLAB to establish a three-dimensional imaging model of the river channel blocking condition and stores the three-dimensional imaging model in a submodule M32 of a modeling imaging module M3; the ground base station (2) establishes a two-dimensional imaging model of river pollutant distribution by using WASP and stores the two-dimensional imaging model in a submodule M33 of a modeling imaging module M3;
the modeling and mapping module M3 sends information to a control end or a mobile phone end through an output module M4, and disaster relief personnel or related department staff carry out disaster relief according to information displayed by the control end or the mobile phone end; the output module M4 comprises a sub-module M41, a sub-module M42, a sub-module M43, a sub-module M44 and a sub-module M45;
the sub-module M41 analyzes and displays the number of people in the rescue team and rescue guidance information, the sub-module M42 analyzes and displays a prediction result of whether the landslide is going to occur again and gives rescue time, the sub-module M43 guides dredging departments according to the river reach blocking degree and the underwater accumulation volume, the sub-module M44 gives guidance on safe water use to water supply departments and nearby residents according to the river pollution range, and the sub-module M45 sends actual field measurement data of the landslide disaster stored in the past year to relevant departments and colleges and universities to provide data for experimental research of the landslide disaster.
2. A rapid emergency monitoring method for landslide disasters along rivers, which is based on the monitoring system of claim 1 and is characterized in that: the method comprises the following steps:
1) -setting up said ground base station (2) in the vicinity of a landslide area according to geological exploration analysis; wherein the ground base station (2) is provided with an unmanned aerial vehicle (3), an unmanned ship (4) and a satellite communication system;
2) the satellite remote sensing (1) positions the specific longitude and latitude coordinates of the disaster area, the satellite remote sensing (1) determines the grade of landslide, coordinate information and disaster grade information are stored in a submodule M11, and the submodule M11 sends the information to a ground base station (2);
3) the ground base station (2) sends the unmanned aerial vehicle (3) to a disaster site, a high-definition camera carried by the unmanned aerial vehicle (3) shoots a disaster area, collected wounded personnel in residential areas on two sides of a river channel and the number and positioning information of the personnel trapped in the river channel are stored in a submodule M13, and monitoring data of the length, width and height of a landslide, the blocking condition of the water surface and the navigation obstruction condition are stored in a submodule M12;
4) the ground base station (2) is used for dispatching an unmanned ship (4), the unmanned ship (4) is provided with a high-low dual-frequency ultrasonic detector (6), a flow meter (8) and a turbidity meter (9), the high-low dual-frequency ultrasonic detector (6) is used for detecting underwater sedimentation volume and sedimentation form, and detecting the sliding distance of a landslide under water and the influence on a navigation channel; the flow meter (8) monitors the flow rate of a river channel on a landslide section, the turbidity meter (9) collects the water pollution degree, and the unmanned ship (4) stores monitoring data into the submodule M14;
5) the data collection module M1 transmits all the measured data to the submodule M21 for processing and calculation, and the submodule M21 stores the measured data and the calculation result in the landslide disaster situation information of the previous year and stores the information in the submodule M23 for storage;
6) analyzing whether landslide occurs again near the disaster area or not based on geological data, hydrological data and field disaster data, evaluating safety risk of rescue work of landslide, and storing the result in a submodule M22;
7) the cloud database (5) sends the data processing result to the ground base station (2), and the ground base station (2) establishes a three-dimensional imaging model of landslide shape and volume by using MATLAB and stores the three-dimensional imaging model in a submodule M31 of a modeling imaging module M3; the ground base station (2) uses MATLAB to establish a three-dimensional imaging model of the river channel blocking condition and stores the three-dimensional imaging model in a submodule M32 of a modeling imaging module M3; the ground base station (2) establishes a two-dimensional imaging model of river pollutant distribution by using WASP and stores the two-dimensional imaging model in a submodule M33 of a modeling imaging module M3;
8) the modeling and mapping module M3 sends information to the control end or the mobile phone end through the output module M4, and disaster relief personnel or related department staff carry out disaster relief according to information displayed by the control end or the mobile phone end.
3. The method for rapidly and emergently monitoring the landslide hazard along the river according to claim 2, wherein the method comprises the following steps: in step 8), the output module M4 includes a sub-module M41, a sub-module M42, a sub-module M43, a sub-module M44 and a sub-module M45;
the sub-module M41 analyzes and displays the number of people in the rescue team and rescue guidance information, the sub-module M42 analyzes and displays a prediction result of whether the landslide is going to occur again and gives rescue time, the sub-module M43 guides dredging departments according to the river reach blocking degree and the underwater accumulation volume, the sub-module M44 gives guidance on safe water use to water supply departments and nearby residents according to the river pollution range, and the sub-module M45 sends actual field measurement data of the landslide disaster stored in the past year to relevant departments and colleges and universities to provide data for experimental research of the landslide disaster.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911338383.2A CN111199632A (en) | 2019-12-23 | 2019-12-23 | Rapid emergency monitoring system and method for landslide along river |
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| CN201911338383.2A CN111199632A (en) | 2019-12-23 | 2019-12-23 | Rapid emergency monitoring system and method for landslide along river |
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