CN115422766A - Debris flow monitoring method and system based on digital twinning technology - Google Patents
Debris flow monitoring method and system based on digital twinning technology Download PDFInfo
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Abstract
A debris flow monitoring method and system based on a digital twin technology belong to the technical field of structure monitoring, and the specific condition of the debris flow is collected and monitored by collecting basic information of an area where the debris flow is located, arranging monitoring equipment in the area where the debris flow is located, establishing an unmanned aerial vehicle station in the area near the area where the debris flow is located and the like; the method comprises the steps of establishing a debris fluid digital twin body in a cloud monitoring system SasS, monitoring the real-time condition of the debris fluid by arranging a digital twin body awakening module, a monitoring alarm module, an unmanned aerial vehicle patrol module and/or a simulation evaluation module, and obtaining the flow speed, the sweep range and the like of the debris flow after explosion under the future assumed working condition through simulation calculation. The method and the system can realize on-line real-time simulation, and pre-judge the possible flow speed and the possible swept range after the mudstone fluid explodes in advance; and the calculation result can be synchronously displayed for the established VR debris flow model.
Description
Technical Field
The invention belongs to the technical field of numbers, and particularly relates to a debris flow monitoring method and system based on a digital twinning technology.
Background
The debris flow belongs to one of three types of geological disasters in China, and is a general method in the industry for monitoring the debris flow which can cause serious damage in an area on the premise of not considering dismantling old buildings, new buildings and collective relocation based on a cost performance principle. Through research and study, the following problems are ubiquitous in the current debris flow monitoring and early warning system: firstly, the existing real-time simulation technology cannot be accessed into the system, and the research and judgment on the disaster situation development situation is lack of technical support; and secondly, the fusion degree of disaster calculation results of the visualization display and simulation technology is not deep enough. Due to the problems, the development of a debris flow monitoring system is restricted, and a relatively obvious short plate is formed.
It should be noted that the digital twinning technique has become a hot spot in industrial development, and has been developed rapidly in the field of industrial manufacturing. The digital twin is to create a physical virtual entity in a digital way, and simulate, verify, predict and interact with the whole life cycle process of the physical entity by means of historical data, real-time data and an algorithm model. The technology has the characteristics of interoperability, expansibility, instantaneity, fidelity, closed-loop performance and the like, and is widely applied in the industrial field at present. The development of the artificial intelligent human body is divided into five stages, namely a three-dimensional geometric model, a three-dimensional simulation model, an enhanced body simulation model, a dynamic twin body and an autonomous twin body model, wherein the first three stages belong to the category of the traditional simulation model, and the last two stages cover the artificial intelligent technology. The digital twin technology maps the objects in the physical world into the digital space in the form of data, and the digital twin technology is not a simple clone of the physical objects by collecting dynamic data, but a set of digital systems independent of the physical objects. The basic function of the method is to continuously monitor real entities, react at the first time when an abnormality is found, and perform advanced prediction and trial and error on various possible conditions.
Further research and study learn that, on one hand, research and development on debris flow monitoring means and instruments in the industry at the present stage are gradually mature, instruments for acquiring physical parameters of debris flow disaster objects are continuously abundant, and data acquisition of debris flow objects is in a trend of accuracy and diversification; for example, chinese patent application 201611101808.4 discloses a debris flow area monitoring method, which uses a remote control device to send an aerial photography debugging signal to an aerial photography device in a wireless manner, and controls the aerial photography device to shoot; the aerial photographing device carries out photographing adjustment according to a debugging signal sent by the remote control device, and the image of the ground debris flow area is collected after the adjustment is finished; carrying out image processing on the collected debris flow area image; analyzing the processed debris flow area image; because the aerial images are adopted as research objects, the region can be researched in a large range; by adopting an advanced image processing method, the accurate and rapid image processing effect can be achieved, and the positive influence on the debris flow area monitoring is further generated. Chinese patent application No. 202110292415.0 discloses a debris flow early warning method combining mud level monitoring and refined terrain measurement, which comprises the following steps: s1, fine topographic survey, namely, accurately measuring the topography of a debris flow channel and the size of a treatment project by means of a three-dimensional laser scanner or unmanned aerial vehicle oblique photography and the like; s2, the mud level meter obtains real-time mud depth data, real-time flow, the total amount of a primary mud-rock flow process and a primary mud-rock flow solid flushing matter are calculated by using an empirical formula in a mud-rock flow standard, if a large-scale mud-rock flow event occurs for one time, the terrain needs to be measured again, and the initial value of the mud level meter and the effective storage capacity of a channel are checked; s3, defining the sedimentation degree of the debris flow as the ratio of the disposable debris flow solid flushing-out material to the sedimentation stopping volume of the channel; and (4) comparing the primary debris flow solid flushing-out material calculated according to the measurement value of the debris level meter with the channel silt stopping volume obtained through measurement, and calculating the debris flow silting degree.
On the other hand, the numerical simulation and simulation technology of the debris flow is gradually mature at the present stage, and although the simulation applications are based on the simulation of a set of fixed data sets to obtain relevant conclusions, certain experience accumulation is objectively formed in the field of debris flow simulation. For example, a study paper "debris flow disaster VR scene dynamic modeling and interactive query visualization method" of the southwest university of transportation has made an initial trial in the aspect of debris flow visualization display, and forms a preliminary prototype of the application of the AR technology in the debris flow scenario. The technology accumulation provides a technical basis for the construction of the digital twin body of the debris flow, and the application of the digital twin technology and standard to debris flow monitoring becomes possible.
Disclosure of Invention
The invention aims to provide a debris flow monitoring method and a debris flow monitoring system based on a digital twin technology, wherein an advanced data acquisition terminal and a modeling technology are utilized to establish a digital twin body of debris flow, an unmanned aerial vehicle patrol mechanism is utilized to update a calculation model of the digital twin body, a cloud real-time simulation technology is utilized to calculate the working condition of the digital twin body, and the calculation result is synchronized to VR and BIM models to be displayed, so that the problem of debris flow monitoring in the prior art is solved.
The invention provides a debris flow monitoring method based on a digital twinning technology, which specifically comprises the following steps of:
s01, preliminarily acquiring digital elevation model data of an area where the debris flow is located, estimating a debris flow area source area, a circulation area and a stacking area, and determining particle size distribution in a debris flow source range of the debris flow area; establishing debris flow rainfall threshold in area of debris flowR 0 ；
S02, arranging monitoring equipment in an area where the debris fluid is located, and collecting displacement, soil moisture content and rainfall of the debris fluid; real-time data collected by the monitoring equipment are stored in a monitoring data module, and the monitoring data module is accessed to a cloud monitoring system SasS;
s03, establishing an unmanned aerial vehicle station in an area near the area where the debris fluid is located, and providing n unmanned aerial vehicles;
step S04, forming a debris fluid digital twin in a cloud monitoring system SasS: establishing a three-dimensional terrain model of the area where the debris fluid is located, establishing a ground surface model for removing the source area, and establishing a fluid-solid coupling model of the source area; selecting discrete element calculation software as a cloud simulation calculation solver; accessing the obtained future meteorological data to a cloud monitoring system SasS;
step S05, arranging a digital twin awaking module, a monitoring and alarming module, an unmanned aerial vehicle inspection module and/or a simulation evaluation module in the cloud monitoring system SasS;
wherein the digital twin wake-up module is used for rainfall data in the future periodRGreater than the rainfall threshold of the debris flow in the area where the debris flow is locatedR 0 When the monitoring equipment is instructed to switch to high-frequency monitoring;
the monitoring and alarming module is used for sending an alarm when the data in the monitoring data module exceeds a set threshold value;
the unmanned aerial vehicle inspection module is used for awakening the unmanned aerial vehicle to fly according to a set air route under the condition that rainfall is in a stop state, acquiring the latest digital elevation model data of the area where the mud-rock fluid is located, and transmitting the data to the cloud monitoring system SaaS, wherein the cloud monitoring system SaaS updates the three-dimensional terrain model, the earth surface model and the fluid-solid coupling model according to the cloud monitoring system SaaS;
and the simulation evaluation module is used for carrying out simulation calculation by utilizing the three-dimensional terrain model, the earth surface model and the fluid-solid coupling model and adopting the cloud simulation calculation solver to obtain the flow speed, the swept range and the range of the debris flow after explosion under the future assumed working condition.
Further, in step S01, the digital elevation model data is obtained by drone aerial survey, wherein the size of the image of the area where the debris fluid is located is determined according to the range of the source and valley water systems where the debris fluid is likely to obtain.
Further, in step S04, a three-dimensional terrain model of an area where the debris fluid is located is established by using the digital elevation model data acquired in step S01; determining a ground surface model for removing the debris flow basin source area by using the estimation result of the debris flow basin in the step S01; and (4) determining a physical source region entity of the debris flow basin by using the estimation result of the debris flow basin in the step (S01), and establishing a fluid-solid coupling model of the physical source region according to the particle size distribution data of the physical source region of the debris flow basin determined in the step (S01).
Further, arranging a plurality of GNSS displacement monitoring sensors in the debris flow basin source area range established in the step S01; 1-2 sets of water content acquisition equipment are arranged in the middle of each source area; arranging a set of video image acquisition equipment at the safe position of the main gully of the debris flow; arranging a set of infrasonic wave generation and collection equipment at a high point making safe position of a debris flow gully slope; arranging a rainfall acquisition instrument in a safe area on the side of the debris flow gully slope close to the debris flow gully; the above instruments and equipment form a monitoring hardware module; and storing real-time data acquired by the monitoring hardware module into a monitoring data module, and accessing the monitoring data module into a cloud monitoring system (SaaS).
And the monitoring equipment in the monitoring hardware module forms a Mesh wireless ad hoc network so as to increase the stability and reliability of equipment information transmission.
The invention provides a debris flow monitoring system based on a digital twinning technology, which comprises a debris flow basic data module, a monitoring hardware module, a monitoring data module, an unmanned aerial vehicle station and a cloud monitoring system SasS;
the debris flow basic data module is used for preliminarily acquiring digital elevation model data of an area where debris flow is located, data of a debris flow basin source area, a circulation area and a stacking area range, and particle size distribution data of the debris flow basin debris flow source range;
the monitoring hardware module is monitoring equipment arranged in the area where the debris fluid is located and is used for acquiring displacement, soil moisture content and rainfall of the debris fluid;
real-time data collected by the monitoring hardware module are stored in a monitoring data module, and the monitoring data module is accessed to the cloud monitoring system SasS;
the unmanned aerial vehicle station is arranged in the area near the area where the debris fluid is located, and n unmanned aerial vehicles are arranged;
the cloud monitoring system SasS comprises a three-dimensional terrain model, a ground surface model, a fluid-solid coupling model and a cloud simulation calculation solver; the cloud simulation calculation solver is discrete element calculation software selected according to actual needs.
Furthermore, the cloud monitoring system SasS further comprises a digital twin awaking module, a monitoring and alarming module, an unmanned aerial vehicle inspection module and/or a simulation evaluation module;
the digital twin wake-up module is used for rainfall data in the future periodRIs larger than the rainfall threshold of the debris flow in the area where the debris flow isR 0 Then, instructing the monitoring equipment in the monitoring hardware module to convert into high-frequency monitoring;
the monitoring and alarming module is used for sending an alarm when the data in the monitoring data module exceeds a set threshold value;
the unmanned aerial vehicle patrol module is used for awakening the unmanned aerial vehicle to patrol according to a set route under the condition that rainfall is stopped, acquiring the latest digital elevation model data of the area where the debris fluid is located, and transmitting the data to the cloud monitoring system SasS, wherein the cloud monitoring system SaaS updates the three-dimensional terrain model, the surface model and the fluid-solid coupling model according to the cloud monitoring system SaaS;
and the simulation evaluation module is used for carrying out simulation calculation by using the three-dimensional terrain model, the earth surface model and the fluid-solid coupling model and adopting the cloud simulation calculation solver to obtain a calculation result of the debris flow after explosion under the future assumed working condition.
Further, the monitoring devices in the monitoring hardware module form a Mesh wireless ad hoc network to increase stability and reliability of device information transmission.
Further, the three-dimensional terrain model of the area where the debris fluid is located is established by utilizing the digital elevation model data of the debris fluid basic data module; establishing the earth surface model for removing the debris flow basin material source area by utilizing the estimation result of the debris flow basin in the debris flow basic data module; and the fluid-solid coupling model of the source area is established by utilizing the estimation result of the debris flow basin in the basic data module and the particle size distribution data of the debris flow basin source area.
By adopting the digital twinning technology-based debris flow monitoring system and method provided by the invention, the following technical effects can be realized:
(1) An unmanned aerial vehicle inspection module is arranged, so that data acquisition and updating can be carried out timely according to the debris flow source change condition generated after rainfall each time;
(2) The digital twin technology and the standard are introduced, so that the problems of the traditional debris flow monitoring system are solved; the method comprises the steps that online real-time simulation is realized based on the source data acquired and updated in real time by the unmanned aerial vehicle and rainfall data collected by field monitoring equipment, and the possible flow rate and the possible sweep range after the mud-rock fluid is exploded are pre-judged in advance; and the calculation result can be synchronously displayed for the established VR debris flow model.
Drawings
For a more complete understanding of the present invention, reference is now made to the following descriptions taken in conjunction with the accompanying drawing, in which:
FIG. 1 is a schematic view of the arrangement of the area where the debris fluid is located and the monitoring equipment;
fig. 2 is a schematic structural diagram of a debris flow monitoring system based on a digital twinning technology.
Detailed Description
For the purpose of illustrating the invention, its technical details and its practical application to thereby enable one of ordinary skill in the art to understand and practice the invention, reference will now be made in detail to the embodiments of the present invention with reference to the accompanying drawings. It is to be understood that the embodiments described herein are merely illustrative and explanatory of the invention and are not restrictive thereof.
The debris flow disaster body is a key disaster body which is determined through investigation and analysis, and is analyzed through a cost performance principle to determine an object with serious threat to the downstream and needs to be monitored.
The invention provides a debris flow monitoring method based on a digital twinning technology, which specifically comprises the following steps:
step S01, preliminarily acquiring Digital Elevation Model (DEM) data of an area where the debris flow is located, and estimating a source area 1, a circulation area 2 and an accumulation area 3 of the debris flow area, wherein the reference is shown in the attached figure 1 of the specification; and determining the particle size distribution of the debris flow source range of the debris flow basin to obtain debris flow channel slope ratio data.
Specifically, an image of a region where a debris flow is located is acquired through an Unmanned Aerial Vehicle (UAV) aerial survey technology, and DEM data of a debris flow region are acquired preliminarily; estimating a debris flow basin source area 1, a circulation area 2 and a pile-up area 3 through field geological disaster assessment and investigation; determining the particle size distribution of the debris flow source range through field artificial statistical observation and an indoor test after sampling; and surveying and mapping in the field to obtain the slope ratio data of the debris flow channel.
In addition, the analytical statistics establish a debris flow rainfall threshold in the area of the debris flowR 0 (ii) a When there is no statistical data, an initial value can be set according to experience, and then further adjustment can be performed according to rainfall data.
Preferably, the size of the map of the area where the mudstone fluid is obtained by the Unmanned Aerial Vehicle (UAV) aerial survey is determined according to the range of source valley water systems possibly obtained by the mudstone fluid; and a field investigation, statistics and observation means is adopted for the granularity distribution of the massive debris flow, and an indoor geotechnical test and analysis means is adopted for the granularity distribution of the viscous small-granularity debris flow.
Description of the drawings fig. 1 shows both a debris flow disturbance zone 4 and a debris flow threat zone 11; wherein, the debris flow threat zone 11 can be adjusted according to the numerical simulation result.
And S02, arranging monitoring equipment in the region where the debris fluid is located, and acquiring information such as displacement, soil moisture content, rainfall and the like of the debris fluid.
Specifically, referring to the attached drawings of the specification and fig. 1, within the debris flow basin source area 1 established in step S01, a plurality of GNSS displacement monitoring sensors 5 are arranged; 1-2 sets of water content acquisition equipment 6 are arranged in the middle of each source area; arranging a set of video image acquisition equipment 9 at the safe position of the main gully of the debris flow; arranging a set of infrasonic wave generation and collection equipment 7 at a safe position of a debris flow valley slope elevation point; a rainfall acquisition instrument 10 is arranged in a safe area on one side of the debris flow gully slope close to the debris flow gully. The monitoring hardware module D00 is formed by the instrument equipment, real-time data collected by the monitoring hardware module D00 is stored in the monitoring data module D11, and the monitoring data module D11 is accessed into the cloud monitoring system SasS.
Preferably, the monitoring devices in the monitoring hardware module D00 form a Mesh wireless ad hoc network, so as to increase stability and reliability of device information transmission.
S03, establishing an unmanned aerial vehicle station 8 in the area near the area where the debris fluid is located, and preparingnAn unmanned plane.
The number of Unmanned Aerial Vehicles (UAVs) is comprehensively determined according to the cost performance and cost ratio of monitoring, the importance and the range of a debris flow area. For example, in important situationsnCan take 3, wherein, dispose 2 unmanned aerial vehicles that carry on aerial survey equipment and be used for daily patrol, be equipped with 1 unmanned aerial vehicle that does not carry on aerial survey equipment and be used for emergency and trade.
Preferably, the area near the unmanned aerial vehicle station needs to be safe and stable, so that debris flow is not damaged when occurring; the unmanned aerial vehicle website has connect solar device, stand-by battery to and wireless network and wired network respectively one set.
Step S04, forming a debris fluid digital twin in a cloud monitoring system SasS: establishing a three-dimensional terrain model M100 of the area where the debris fluid is located by using the Digital Elevation Model (DEM) data acquired in the step S01; determining a ground surface model M200 for removing the debris flow basin source area by using the estimation result of the debris flow basin in the step S01; and (4) establishing a physical source region entity of the debris flow basin by using the estimation result of the debris flow basin in the step (S01), and establishing a fluid-solid coupling model M300 of the physical source region according to the particle size distribution data of the physical source region of the debris flow basin determined in the step (S01).
The three-dimensional terrain model M100, the earth surface model M200 and the fluid-solid coupling model M300 are connected to a cloud monitoring system SasS, and discrete element computing software is selected as a cloud simulation computing solver.
Future meteorological data obtained by internet big data are accessed to a cloud monitoring system SasS.
And forming a debris fluid digital twin body in a cloud monitoring system SasS.
And S05, setting a digital twin body awakening module K1, a monitoring alarm module K2, an unmanned aerial vehicle patrol module K3 and a simulation evaluation module K4 in the cloud monitoring system SasS.
The digital twin body awakening module K1 is used for saving system calculation force while ensuring effective monitoring of the debris fluid. Specifically, rainfall data of future period is acquired through internet big dataRAnd weather warning information, whenRIs larger than the rainfall threshold of the debris flow in the area where the debris flow isR 0 And when the monitoring device is switched to high-frequency monitoring, the digital twin wakeup module K1 sends an instruction to the monitoring hardware module D00, and the monitoring data module D11 synchronously updates real-time data in the cloud monitoring system SasS.
And the monitoring alarm module K2 sets an experience threshold value aiming at the displacement, the water level, the infrasonic wave and the like monitored by the monitoring equipment in the step S02 according to the analysis of the statistical data. And when the data in the monitoring data module D11 exceeds the corresponding experience threshold, the monitoring alarm module K2 sends out an alarm.
The method comprises the steps of determining an alarm level according to a specific real-time data result, and determining a subsequent response type according to the alarm level, wherein for example, a first-level red alarm directly starts a site broadcast alarm to inform potential disaster-stricken masses; the second-level orange and third-level yellow alarms are directly transmitted to related group policy defense members and experts by information for further analysis and decision; and 4, recording a four-level blue warning system.
The setting of the experience threshold value can also be set according to human experience if no relevant statistical data exists, and then adjustment is carried out.
Unmanned aerial vehicle inspection module K3, unmanned aerial vehicle inspection is used for updating disaster information and rainfall production each time the thing source region changes. The unmanned aerial vehicle inspection module K3 judges whether the rainfall stops according to the real-time data in the monitoring data module D11, if the rainfall stops, the unmanned aerial vehicle inspection module K3 sends information to wake up the unmanned aerial vehicle, so that the Unmanned Aerial Vehicle (UAV) carrying aerial survey equipment takes off and inspects according to a preset air route, the latest Digital Elevation Model (DEM) data of the area where the debris fluid is located are collected, the data are transmitted to the cloud monitoring system SasS, and the cloud monitoring system SasS updates the three-dimensional terrain model M100, the earth surface model M200 and the fluid-solid coupling model M300 according to the latest DEM data.
The simulation evaluation module K4 utilizes the updated three-dimensional terrain model M100, the ground surface model M200, and the fluid-solid coupling model M300 according to the real-time data in the monitoring data module D11, and performs simulation calculation by using the cloud simulation calculation solver to obtain calculation results of the flow rate, the sweep range, and the like after the debris flow breaks out under the future assumed working conditions (for example, a strong rainfall effect in a first 50 years and a strong rainfall effect in a first century), and synchronizes the results to the VR model system for a decision maker to view and refer.
To ensure the safety of the simulation calculation result, the real-time data in the monitoring data module D11 may be multiplied by a certain amplification factor.
The invention provides a debris flow monitoring system based on a digital twinning technology, which is shown in the attached drawing 2 of the specification and comprises a debris flow basic data module D100, a monitoring hardware module D00, a monitoring data module D11, an unmanned aerial vehicle station U100 and a cloud monitoring system SasS.
The debris flow basic data module D100 is used for preliminarily acquiring Digital Elevation Model (DEM) data of an area where the debris flow is located, data of ranges of a debris flow basin source area 1, a circulation area 2 and a stacking area 3, particle size distribution data of the range of the debris flow basin debris flow source, and debris flow channel slope ratio data.
The monitoring hardware module D00 is monitoring equipment arranged in the area where the debris fluid is located and used for acquiring information such as displacement, soil moisture content and rainfall of the debris fluid.
Real-time data acquired by the monitoring hardware module D00 are stored in a monitoring data module D11, and the monitoring data module D11 is accessed to the cloud monitoring system SasS.
Preferably, the monitoring devices in the monitoring hardware module D00 form a Mesh wireless ad hoc network, so as to increase stability and reliability of device information transmission.
Unmanned aerial vehicle website U100 sets up in the regional near region of mud stone fluid place, is equipped withnPlatform unmanned aerial vehicle. The number of the unmanned aerial vehicles is comprehensively determined according to the monitoring cost performance price ratio, the importance and the range of the debris flow area. The area near the unmanned aerial vehicle station needs to be safe and stable, so that debris flow is not damaged when occurring; the unmanned aerial vehicle website has connect solar device, stand-by battery to and wireless network and wired network respectively one set.
The cloud monitoring system SasS comprises a three-dimensional terrain model M100, a ground surface model M200, a fluid-solid coupling model M300, a cloud simulation calculation solver C100, a digital twin wakeup module K1, a monitoring alarm module K2, an unmanned aerial vehicle patrol module K3 and a simulation evaluation module K4.
The three-dimensional terrain model M100 of the area where the debris flow is located is established by utilizing the DEM data of the debris flow basic data module D100; the earth surface model M200 for removing the debris flow basin material source area is established by utilizing the estimation result of the debris flow basin in the debris flow basic data module D100; the fluid-solid coupling model M300 of the source area is established by utilizing the estimation result of the debris flow basin in the basic data module D100 and the particle size distribution data of the source area of the debris flow basin.
The cloud simulation calculation solver C100 is discrete element calculation software selected according to actual needs.
The digital twin wake-up module K1 is used for rainfall data in the future periodRGreater than the rainfall threshold of the debris flow in the area where the debris flow is locatedR 0 And then, instructing the monitoring equipment in the monitoring hardware module D00 to convert into high-frequency monitoring.
The monitoring alarm module K2 is configured to send an alarm when the data in the monitoring data module D11 exceeds a set experience threshold.
And the unmanned aerial vehicle patrol module K3 is used for awakening the unmanned aerial vehicle to patrol according to a set air route under the condition of meeting the rainfall stop, acquiring the latest Digital Elevation Model (DEM) data of the area where the mudstone fluid is located, and transmitting the data to the cloud monitoring system SasS.
The simulation evaluation module K4 is used for performing simulation calculation by using the three-dimensional terrain model M100, the ground surface model M200 and the fluid-solid coupling model M300 and the cloud simulation calculation solver C100 to obtain calculation results of flow velocity, wave and range and the like of the debris flow after explosion under the future assumed working condition; the calculation result can be synchronized to a VR model system for a decision maker to look over and reference.
Claims (9)
1. A debris flow monitoring method based on a digital twinning technology specifically comprises the following steps:
s01, preliminarily acquiring digital elevation model data of an area where the debris flow is located, estimating a debris flow area source area, a circulation area and a stacking area, and determining particle size distribution in a debris flow source range of the debris flow area; establishing debris flow rainfall threshold in area of debris flowR 0 ；
S02, arranging monitoring equipment in an area where the debris fluid is located, and collecting displacement, soil moisture content and rainfall of the debris fluid; real-time data collected by the monitoring equipment are stored in a monitoring data module, and the monitoring data module is accessed to a cloud monitoring system SasS;
s03, establishing an unmanned aerial vehicle station in an area near the area where the debris fluid is located, and providing n unmanned aerial vehicles;
step S04, forming a debris fluid digital twin in a cloud monitoring system SasS: establishing a three-dimensional terrain model of the area where the debris fluid is located, establishing a ground surface model for removing the object source area, and establishing a fluid-solid coupling model of the object source area; selecting discrete element calculation software as a cloud simulation calculation solver; accessing the obtained future meteorological data to a cloud monitoring system SasS;
step S05, arranging a digital twin awaking module, a monitoring and alarming module, an unmanned aerial vehicle inspection module and/or a simulation evaluation module in the cloud monitoring system SasS;
wherein the digital twin wake-up module is used for rainfall data in the future periodRGreater than the rainfall threshold of the debris flow in the area where the debris flow is locatedR 0 Then, instructing the monitoring equipment to convert into high-frequency monitoring;
the monitoring and alarming module is used for sending an alarm when the data in the monitoring data module exceeds a set threshold value;
the unmanned aerial vehicle patrol module is used for awakening the unmanned aerial vehicle to patrol according to a preset air route under the condition that rainfall is stopped, acquiring the latest digital elevation model data of the area where the debris fluid is located, and transmitting the data to the cloud monitoring system SaaS, wherein the cloud monitoring system SaaS updates the three-dimensional terrain model, the surface model and the fluid-solid coupling model according to the cloud monitoring system SaaS;
and the simulation evaluation module is used for carrying out simulation calculation by utilizing the three-dimensional terrain model, the earth surface model and the fluid-solid coupling model and adopting the cloud simulation calculation solver to obtain the flow speed, the wave coverage range of the debris flow after explosion under the future assumed working condition.
2. The method of claim 1, wherein the digital elevation model data is obtained by drone aerial survey in step S01, wherein the size of the map of the area in which the mudstone fluid is located is determined based on the range of source valley water systems that the mudstone fluid may obtain.
3. The method according to claim 1, wherein in step S04, a three-dimensional terrain model of an area in which the mudstone fluid is located is established using the digital elevation model data acquired in step S01; determining a ground surface model for removing a debris flow basin source area by using the estimation result of the debris flow basin in the step S01; and (5) establishing a debris flow basin matter source area entity by utilizing the estimation result of the debris flow basin in the step (S01), and establishing a fluid-solid coupling model of the matter source area according to the particle size distribution data of the debris flow basin matter source area determined in the step (S01).
4. The method according to claim 1, wherein in step S02, monitoring equipment is arranged in the area where the debris fluid is located, and the following method is adopted: arranging a plurality of GNSS displacement monitoring sensors in the debris flow basin source area range established in the step S01; 1-2 sets of water content acquisition equipment are arranged in the middle of each source area; arranging a set of video image acquisition equipment at the safe position of the main gully of the debris flow; arranging a set of infrasonic wave generation and collection equipment at a safe position of a debris flow valley slope elevation point; arranging a rainfall acquisition instrument in a safe area on the side of the debris flow gully slope close to the debris flow gully; the displacement monitoring sensor, the water content acquisition equipment, the video image acquisition equipment, the infrasonic wave generation acquisition equipment and the rainfall amount acquisition instrument form a monitoring hardware module; and storing real-time data acquired by the monitoring hardware module into a monitoring data module, and accessing the monitoring data module into a cloud monitoring system (SaaS).
5. The method of claim 4, wherein the monitoring devices in the monitoring hardware module form a Mesh wireless ad hoc network to increase stability and reliability of device information transmission.
6. A debris flow monitoring system based on a digital twinning technology comprises a debris flow basic data module, a monitoring hardware module, a monitoring data module, an unmanned aerial vehicle station and a cloud monitoring system SasS;
the debris flow basic data module is used for preliminarily acquiring digital elevation model data of an area where debris flow is located, data of a debris flow basin source area, a circulation area and a stacking area range, and particle size distribution data of the debris flow basin debris flow source range;
the monitoring hardware module is monitoring equipment arranged in the area where the debris fluid is located and is used for acquiring displacement, soil moisture content and rainfall of the debris fluid;
real-time data acquired by the monitoring hardware module are stored in a monitoring data module, and the monitoring data module is accessed to the cloud monitoring system SasS;
the unmanned aerial vehicle station is arranged in the area near the debris fluid area and is provided with n unmanned aerial vehicles;
the cloud monitoring system SasS comprises a three-dimensional terrain model, a ground surface model, a fluid-solid coupling model and a cloud simulation calculation solver; the cloud simulation calculation solver is discrete element calculation software selected according to actual needs.
7. The system according to claim 6, wherein the cloud monitoring system SasS further comprises a digital twin wakeup module, a monitoring alarm module, an unmanned aerial vehicle patrol module, and/or a simulation evaluation module;
the digital twin wake-up module is used for rainfall data in the future periodRGreater than the rainfall threshold of the debris flow in the area where the debris flow is locatedR 0 Then, instructing the monitoring equipment in the monitoring hardware module to convert into high-frequency monitoring;
the monitoring and alarming module is used for sending an alarm when the data in the monitoring data module exceeds a set threshold value;
the unmanned aerial vehicle inspection module is used for awakening the unmanned aerial vehicle to fly according to a preset air route under the condition that rainfall is stopped, acquiring the latest digital elevation model data of the area where the debris fluid is located, and transmitting the data to the cloud monitoring system SasS, wherein the cloud monitoring system SaaS updates the three-dimensional terrain model, the earth surface model and the fluid-solid coupling model according to the cloud monitoring system SaaS;
and the simulation evaluation module is used for carrying out simulation calculation by using the three-dimensional terrain model, the earth surface model and the fluid-solid coupling model and adopting the cloud simulation calculation solver to obtain a calculation result of the debris flow after explosion under the future assumed working condition.
8. The system of claim 6, wherein the monitoring devices in the monitoring hardware module form a Mesh wireless ad hoc network to increase stability and reliability of device information transmission.
9. The system of claim 6, wherein the three-dimensional terrain model of the area in which the mudstone fluid is located is created using the digital elevation model data of the mudstone fluid fundamental data module; establishing the earth surface model for removing the debris flow basin material source area by utilizing the estimation result of the debris flow basin in the debris flow basic data module; and the fluid-solid coupling model of the source area is established by utilizing the estimation result of the debris flow basin in the basic data module and the particle size distribution data of the debris flow basin source area.
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Denomination of invention: A debris flow monitoring method and system based on digital twin technology Granted publication date: 20230411 Pledgee: Shijiazhuang Luquan Rural Commercial Bank Co.,Ltd. Pledgor: BEIJING YUNLU TECHNOLOGY CO.,LTD. Registration number: Y2024980015341 |