WO2023221974A1 - Satellite image feedback-based landslide monitoring apparatus and method, terminal, device, and medium - Google Patents

Abstract

A satellite image feedback-based landslide monitoring apparatus and method, a terminal, a device, and a medium, which relate to the technical field of geological disaster data monitoring. The monitoring method comprises: delineating a geological disaster investigation range selected in a satellite image, and on said basis, arranging a satellite image feedback-based landslide monitoring apparatus on site; monitoring deformation and stress in slope evolution, feeding back real-time data to an indoor satellite image interpretation terminal, carrying out repeated training on the established learning model, and establishing a relationship between a migration element of an on-site slope and pixel change in the satellite image; and monitoring and issuing early warning for an on-site landslide disaster on the basis of a preprogrammed safety threshold value. In the described monitoring method, information related to disaster-prone areas, including geological strata, geological structures, surface erosion, meteorological conditions, and groundwater is systematically monitored. Typical characteristics of the monitored disaster points are provided from an engineering geological perspective and such features are integrated into specific indicators such as strain and stress, thereby establishing a relationship between deformation and stress indicators and pixel change in the satellite image.

Description

Collapse monitoring devices, methods, terminals, equipment and media based on satellite imaging feedback

This application requests the priority of the Chinese patent application submitted to the China Patent Office on May 16, 2022, with the application number 202210526838.9 and the invention title "Avalanche monitoring device, method, terminal, equipment and medium based on satellite image feedback", The entire contents of which are incorporated herein by reference.

Technical field

The invention belongs to the technical field of geological disaster data monitoring, and specifically relates to landslide monitoring devices, methods, terminals, equipment and media based on satellite image feedback.

Background technique

Geological disasters in mountainous areas are mainly collapses, landslides, and debris flows. Systematic research has been conducted on the cause mechanisms and prevention measures of different geological disasters. However, the early identification of geological disasters plays a decisive role in disaster prevention. The most commonly used method currently is to conduct on-site monitoring of existing disasters to prevent further expansion of the scope of disasters. The investigation of potential unstable disaster points is mainly through manual rough inspection. During manual inspections, due to factors such as the complexity of the terrain and the accumulated experience of the staff, some disaster points that may cause disaster effects are ignored. For certain areas, the cost of manual inspections is too high and cannot be fully covered. .

Some units use satellite photos for investigation. From a macro perspective, the applicability of this method has been expanded. It only requires manual interpretation of satellite photos. The relative cost is greatly saved, and the work efficiency is greatly improved. However, satellite image interpretation requires a certain amount of work experience, which greatly reduces its universality. Even experienced staff are extremely prone to errors during the interpretation process, mainly due to the different occurrence environments of different geological disasters, and The occurrence environment is always changing, increasing the complexity of geological disasters. In the existing technology, geological disasters in mountainous areas are identified through multi-source and multi-temporal high-resolution satellite data, geological disasters in mountainous areas are identified through the combination of UAV images and DEM, and geological disasters are identified through real-life three-dimensional modeling methods of UAV oblique photogrammetry. , measure and observe the deformation conditions of on-site landslide disasters multiple times, and then identify them.

Through the above analysis, the problems and defects existing in the existing technology are as follows: In the process of identifying geological hazards affected by high-resolution satellites in the existing technology, the interpretation of geological hazards on satellite images is mainly carried out through a combination of on-site surveys and satellite images. This method exists The key issue is that in geological disaster identification, all geological disasters have already occurred. It is impossible to identify disasters such as potential unstable slopes and collapses, that is, only Identify landslide disasters that have produced disaster-causing effects. In addition, due to the inaccessibility of some areas through manual surveys, some disasters still cannot be found and cannot be interpreted on satellite images. The learning model trained based on this is also used in the interpretation of geological hazards on satellite images. There are major limitations.

The key problem with using drone images to identify geological disasters is that they can only identify landslide disasters that have already occurred, but cannot identify upcoming potential disasters. Moreover, drones can only identify single landslides. For certain landslides, For regional geological disaster surveys, the production cost of drones is high, and the time consumption is greatly increased, and the workload of later indoor image processing is greatly increased.

Contents of the invention

In order to overcome the problems existing in related technologies, disclosed embodiments of the present invention provide a landslide monitoring device, method, terminal, equipment and medium based on satellite image feedback. It improves the accuracy and reliability of slope monitoring and saves costs.

The technical solution is as follows: a landslide monitoring device based on satellite feedback includes: a composite monitoring box, used to monitor the chemical composition of groundwater, pore water pressure, horizontal displacement, horizontal stress and vertical stress, and monitor wall mineral composition Monitor the change indicators and obtain relevant data at different depths of the geological body;

The data acquisition control system is used for the collection, summary, and storage of on-site data. It caches the data collected on site and transmits it using wireless transmission devices. The data is summarized and transmitted to the indoor satellite interpretation terminal;

The flow monitoring system is used to monitor the surface water flow at different locations on the slope, and to test and analyze the chemical composition and pH data of the surface water. It collects the flow data and integrates it with meteorological data to analyze the flow and rainfall at different locations. Quantitative indicators;

The laser scanning monitoring system is used to conduct real-time monitoring and analysis of the erosion pattern of the slope surface, obtain the erosion pattern data at different positions on the slope surface, calculate the erosion situation by comparing it with the original slope surface form, and analyze the water flow and water level at the bottom of the ditch. Monitor and provide early warning of dangerous situations;

The water level monitoring system is used to monitor the water level and flow rate at the bottom of the ditch in real time. After transmitting it to the data acquisition control system, it is compared with the rainfall data. At the same time, it is compared and analyzed with the moisture sensor and pore pressure sensor values inside the slope to obtain Rainfall-flow-pore water pressure relationship.

Optionally, the avalanche monitoring device based on satellite image feedback also includes: a power supply system, which is composed of two modules: solar power supply and wind energy power supply, which uses solar energy and wind energy to supplement power and provide power to the entire monitoring system;

The power supply system adopts frequency conversion automatic control. When the parameters of the same sensor change ≤0.1% for one consecutive week, one-third of the power supply of the general sensor will be automatically cut off and maintained in the state to be measured. After the fluctuating current is fed back to the power supply system, the power supply system will Start powering again and the sensor returns to normal.

Optionally, the collapse monitoring device based on satellite imaging feedback also includes:

Wireless transmission antenna for data transmission and instruction reception;

The meteorological monitoring station is used to monitor local rainfall, temperature, humidity, wind direction, wind speed, and air pressure meteorological indicators in real time, store and transmit the data, and finally transmit it to the data acquisition and control system.

Another object of the present invention is to provide a method for monitoring potential instability and landslide disasters, which includes the following steps:

Step 1: Delineate the geological disaster survey scope selected in the satellite images, and then deploy on-site avalanche monitoring devices based on satellite image feedback;

Step 2: Monitor the deformation and stress in the evolution of the slope, feed back the real-time data to the indoor satellite image interpretation terminal, repeatedly train the established learning model, and combine the migration elements of the on-site slope with the pixels in the satellite image. Change creates connections;

Step 3: Based on the pre-programmed safety threshold, monitor and warn on-site landslide disasters.

In one embodiment, in step one, the satellite image interpretation learning model is trained using monitoring data of potential instability and landslide disasters, and the learning model is used to identify potential instability slopes.

In step two, in machine learning, the machine is repeatedly trained by setting a data set of changes in key indicators such as slope, aspect, altitude, and rainfall, and the occurrence of landslide disasters is predicted and analyzed based on the neural network method. According to This is used to identify landslide hazards in the wild; the learning model is: M=F(x1,x2,x3….), x1, x2, and x3 are key indicators of slope, slope aspect, and rainfall respectively;

In step three, the safety threshold is set in combination with the safety factor of the landslide disaster. The safety factor is the ratio of the anti-sliding force or moment to the sliding force or moment. The safety threshold is a function of the safety factor and is determined according to the change of the safety factor. The changing pattern of safety thresholds.

Another object of the present invention is to provide an indoor satellite video interpretation terminal for implementing the monitoring method of potential instability and landslide disasters.

Another object of the present invention is to provide a program storage medium for receiving user input, which stores The computer program causes the electronic device to perform the monitoring method for potential instability and landslide disasters.

Another object of the present invention is to provide a computer device. The computer device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the computer program causes the processor to execute the Monitoring methods for potential instability and landslide disasters described above.

Combined with all the above technical solutions, the advantages and positive effects of the present invention are:

First, in view of the technical problems existing in the above-mentioned existing technologies and the difficulty of solving the problems, closely combine the technical solutions to be protected by the present invention and the results and data in the research and development process, etc., to conduct a detailed and profound analysis of how to solve the technical solutions of the present invention. Technical problems, and some creative technical effects brought about by solving the problems. The specific description is as follows:

In the present invention, by providing a landslide monitoring device and technical method based on satellite image feedback, the geological disaster survey range selected in the satellite image is first delineated, and on this basis, monitoring equipment is deployed on site. The monitoring technology in the present invention The method can conduct real-time monitoring of the core elements of engineering geology (stratum lithology, meteorology, geotechnical parameters, hydrology, etc.). On the one hand, it can monitor the deformation and stress in the slope evolution and feed the real-time data to the indoor satellite interpretation terminal. , repeatedly train the established learning model to connect the migration elements of the on-site slope with the pixel changes in the satellite images, thereby enhancing the accuracy of satellite interpretation; on the other hand, based on the pre-programmed safety threshold , monitor and early warn on-site landslide disasters, provide local disaster prevention and reduction services, deeply integrate transportation disaster prevention and disaster reduction with rural construction disaster prevention and reduction, and reduce disaster prevention and reduction costs.

The application of this technology can monitor potentially unstable slopes, which mainly solves the problem of being unable to identify impending geological disasters in satellite images. In addition, the technology provided in the present invention is still based on big data artificial intelligence. The application of intelligent identification methods and the establishment of this technology can provide important support for identifying landslide geological disasters based on satellite images, improve work efficiency, and save the cost of geological disaster identification.

Second, considering the technical solution as a whole or from a product perspective, the technical effects and advantages of the technical solution to be protected by the present invention are described in detail as follows:

In view of the shortcomings of the above method, the present invention proposes a landslide monitoring device and method based on satellite image feedback. Typical disaster points are selected through satellite images, monitoring is performed at the typical disaster points, and the monitoring information is fed back to the indoor interpretation terminal for interpretation. Translation to improve the accuracy of interpretation results of satellite films.

On the one hand, the present invention feeds back the on-site information of typical disaster points to the indoor satellite interpretation terminal in a timely manner to facilitate the smooth development of the interpretation work. On the other hand, the monitoring device in the present invention, in addition to monitoring In addition to the general displacement and stress change characteristics of disasters, the disaster's stratigraphic lithology, geological structure, surface erosion, meteorology, groundwater and other information are systematically monitored, and the typical characteristics of the monitored disaster points are given from the perspective of engineering geology, and these characteristics are integrated For example, among specific indicators such as strain and stress, the deformation and stress indicators are linked to the pixel changes in satellite images to more accurately interpret potential disaster points, effectively improving the accuracy and reliability of disaster investigation. In addition, based on accurate monitoring information combined with artificial intelligence, machine learning is performed on indoor interpretation methods. Later, artificial intelligence methods are used to interpret satellite images of typical disaster spots, which greatly improves work efficiency.

Third, as auxiliary evidence of creativity in the claims of the present invention, it is also reflected in the fact that the technical solution of the present invention fills the technical gaps in the industry at home and abroad: the implementation of the present invention brings great convenience to geological disaster investigation and saves a lot of time. It has human and material resources and can conduct regional geological hazard surveys and investigations, which provides important support for the safe construction and operation of highway projects and industrial and civil construction projects. At the same time, the technology of the present invention is beneficial to be integrated into the current smart traffic information system and fill the gaps in this aspect.

Instructions with pictures

Figure 1 is a flow chart of a monitoring method for potential instability and landslide disasters provided by an embodiment of the present invention;

Figure 2 is a schematic diagram of a monitoring method for potential instability and landslide disasters provided by an embodiment of the present invention;

Figure 3 is a schematic diagram of a collapse monitoring device based on satellite film feedback provided by an embodiment of the present invention;

Figure 4 is a schematic diagram of a composite monitoring box provided by an embodiment of the present invention;

Figure 5 is a schematic diagram of a flow monitoring system provided by an embodiment of the present invention.

In the picture: 1. Composite monitoring box; 1-1, automatic shearing system; 1-2, loading device; 1-3, data collector; 1-4, comprehensive monitor; 1-5, water chemistry monitoring sensor; 1-6. Pore water pressure sensor; 1-7. Mineral composition monitoring sensor; 1-8. Moisture sensor; 1-9. Horizontal displacement monitoring sensor; 1-10. Vertical displacement monitoring system; 2. Data acquisition control system ;3. Power supply system; 4. Slope top; 5. Ditch bottom; 6. Flow monitoring system; 6-1. Seepage solute testing sensor; 6-2. Water temperature monitoring sensor; 6-3. pH monitoring sensor; 6- 4. Anti-siltation and scour system; 6-5. Water inlet of water storage tank; 6-6. Water inlet; 6-7. Water outlet; 6-8. Data memory; 6-9. Monitoring water tank; 6-10. Water tank overflow Channel; 6-11. Flow monitoring sensor; 6-12. Particle composition monitoring system; 7. Laser scanning monitoring system; 8. Wireless transmission antenna; 9. Water level monitoring system; 10. Meteorological monitoring station.

Detailed ways

In order to make the above objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the invention. However, the present invention can be implemented in many other ways different from those described here. Those skilled in the art can make similar improvements without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific implementation disclosed below.

1. Explanation of Examples:

The monitoring method for potential instability and landslide disasters provided by the embodiment of the present invention innovatively proposes a machine learning model training method based on the monitoring of potential instability and landslide disasters.

At the same time, an innovative landslide monitoring device based on satellite imaging feedback is proposed, which uses the analysis of changes in lithological mechanical conditions, groundwater seepage, water chemistry, mineral composition and other factors to greatly improve the accuracy of landslide disaster identification.

The monitoring method for potential instability and landslide disasters provided by embodiments of the present invention is based on the process of monitoring data learning and simultaneously analyzes the deformation of geological bodies and regional meteorological data, determines the critical conditions for geological body instability from multiple angles, and improves Accuracy of trained models in identifying hazardous geological bodies. During the identification process, geological disaster points that have occurred on site are used for reverse verification, and through the training of several models, the universal applicability of the present invention is improved.

Example 1

As shown in Figure 1, the monitoring method for potential instability and landslide disasters provided by the embodiment of the present invention includes the following steps:

S101: Delineate the geological disaster investigation range selected in the satellite images, and then deploy a landslide monitoring device on site based on satellite image feedback.

S102, conduct real-time monitoring of core elements of engineering geology (stratum lithology, meteorology, geotechnical parameters, hydrology, etc.), monitor deformation and stress during slope evolution, feed real-time data to the indoor satellite interpretation terminal, and The established learning model is trained repeatedly to connect the migration elements of the on-site slope with the pixel changes in the satellite images, thereby enhancing the accuracy of satellite image interpretation.

S103, based on the pre-programmed safety threshold, monitor and warn on-site landslide disasters, provide local disaster prevention and reduction services, deeply integrate traffic disaster prevention and disaster prevention and rural construction disaster prevention and reduction, and reduce disaster prevention and reduction costs.

In step S102, during machine learning, the machine is repeatedly trained by setting a data set of changes in key indicators such as slope, aspect, altitude, and rainfall. Based on the neural network method Predict and analyze the occurrence of landslide disasters, and identify landslide disasters in the wild based on this. The learning model is: M=F(x1,x2,x3….), where x1, x2, and x3 are key indicators such as slope, aspect, and rainfall respectively.

The prediction and analysis of the occurrence of landslide disasters based on the neural network method, and the identification of wild landslide disasters based on this include:

Based on the specific changes in indicators such as slope, slope aspect, and rainfall obtained through on-site monitoring, combined with the displacement in remote sensing satellite films, the deformation state of the slope is judged, and the specific stability of the landslide is analyzed based on the deformation state and deformation rate, and based on this Accurately identify potentially unstable slopes.

Prediction process: Based on a large number of identifications in the early stage, continuous training, repeated training based on data sets, and typical area identification combined with manual judgment to improve the accuracy of identification, and mature methods are used in the later stage to identify potential earthquake disasters.

In step S103, the safety threshold is set in combination with the safety factor of the landslide disaster. The safety factor is the ratio of the anti-sliding force or moment to the sliding force or moment. The safety threshold is a function of the safety factor and is determined according to the change of the safety factor. The changing pattern of safety thresholds.

F=N/T (F is generally the safety factor, N is the anti-skid force or anti-skid moment, KN; T is the sliding force or moment, KN.

In the embodiment of the present invention, the satellite image interpretation learning model is trained using monitoring data of potential instability and landslide disasters, which is completely different from the training basis of the traditional learning model. The learning model can be used to analyze potential instability slopes in the later stage. Carry out accurate identification and improve the level of disaster prevention and reduction, breaking through the technical bottleneck of existing technology that only identifies existing disasters.

In the embodiment of the present invention, the proposed avalanche monitoring device based on satellite image feedback is improved on the basis of the traditional monitoring method. In addition to the sensor layout such as displacement, stress, and pore pressure monitoring, hydrology, water chemistry, mineralogy, etc. are added. The monitoring system for composition changes and other aspects can reveal the internal mechanism of landslide disaster formation from the perspective of material composition changes and groundwater seepage field changes. Its accuracy and reliability are significantly better than existing landslide monitoring technology methods. The ultimate purpose of the monitoring device and method can be to realize monitoring and early warning of potential disasters, and can truly serve local disaster prevention and reduction work.

In the embodiment of the present invention, in terms of changes in material composition, the main focus is on the content of clay minerals inside the geological body. The increase of clay minerals is extremely detrimental to the stability of the geological body, and it is easy to cause landslide disasters under the action of induced factors such as groundwater or earthquakes. , producing disastrous effects. The formation of clay minerals is closely related to changes in certain anions and cations and mineral components in groundwater, so from the material composition and The angle of groundwater change can reveal the intrinsic mechanism of geological disaster formation.

Example 2

As shown in Figure 2, the monitoring method for potential instability and landslide disasters provided by the embodiment of the present invention includes:

(1) Select the research area using satellite images. Use satellite images to select the research area where geological disaster investigation is to be carried out.

(2) On-site monitoring: select several typical disaster points in the study area to deploy monitoring devices.

(3) Data collection, on-site monitoring to obtain various data, and transmit the data to the indoor satellite interpretation terminal.

(4) Satellite image recognition, machine learning is performed based on monitoring data, and the learned model is used to use artificial intelligence to carry out accurate identification and batch identification of landslide disasters in the study area to serve disaster prevention and reduction.

In Figure 2, the potentially unstable geological body is taken as the research object. Only when the geological body becomes unstable can landslides or collapse disasters occur. The potentially unstable geological body is repeatedly monitored, and the on-site monitoring facilities developed in the present invention are used for processing. In addition to traditional monitoring Data, such as displacement, stress, meteorological data, etc., are also key components of later machine learning. In addition, the device proposed by the present invention also accurately monitors phenomena such as the flow of surface water and the erosion of the surface of geological bodies.

Example 3

As shown in Figure 3, the collapse monitoring device based on satellite film feedback provided by the embodiment of the present invention includes:

Composite monitoring box 1, this device contains many monitoring systems, which can monitor the chemical composition of groundwater, pore water pressure, horizontal displacement, horizontal stress and vertical stress, changes in mineral composition of the monitoring wall, etc., and integrates many sensors Integrated layout reduces the number of holes that need to be excavated during on-site monitoring. High integration can greatly improve installation efficiency. At the same time, the monitoring boxes are arranged vertically during the layout, so that relevant data at different depths can be obtained. When adjacent layers When the parameters change significantly, other data can be combined to comprehensively determine whether the geological body will undergo instability failure.

Data acquisition control system 2 is mainly used for the collection and summary of on-site data, and also has the function of preliminary data storage. It can cache the data collected on site and then transmit it using wireless transmission devices, and then summarize the data and transmit it to indoor satellite interpretation. Terminal and indoor satellite interpretation terminal perform repeated learning based on the collected data to realize landslide disaster identification based on artificial intelligence and improve the accuracy of disaster identification. In addition, the system's specific data fusion and processing functions can compare and analyze the data collected by underground sensors and the data collected by weather stations, and establish connections through built-in algorithms for analysis and use by monitoring personnel.

Power supply system 3. This system mainly consists of two modules: solar power supply and wind energy power supply. It uses solar energy and wind energy to supplement power and has a power storage function to provide power to the entire monitoring system. Power supply system 3 adopts frequency conversion automatic control. When the same sensor When the parameter change is less than 0.1% for one consecutive week, the power supply system 3 will automatically cut off one-third of the power supply of the general sensor and keep it in the state of being tested. Once there is a fluctuating current fed back to the power supply system 3, the power supply system 3 will start immediately. The sensor is completely restored to normal after the power is supplied again. This process can reduce power consumption during monitoring. Repeated collection of general data has limited significance for later analysis. At the same time, it reduces the load of the memory. This is also set in the present invention and is significantly innovative and different. Turn on all sensors for monitoring at the same time compared to existing technology.

Slope top 4 needs to be simply flattened during monitoring.

Bottom 5 of the ditch, where the shady slope and the sunny slope meet.

Flow monitoring system 6 mainly monitors surface water flow at different locations on the slope. At the same time, the monitoring system is equipped with water storage barrels, and cooperates with relevant sensors to test and analyze the chemical composition and pH data of surface water. After collecting the flow data Integrate with meteorological data to analyze the relationship between flow and rainfall and other indicators at different locations.

Laser scanning monitoring system 7. The main function of this system is to conduct real-time monitoring and analysis of the erosion pattern of the slope surface. It can obtain data such as the erosion pattern at different positions on the slope surface, and calculate the erosion situation by comparing it with the original slope surface form. At the same time It can simply monitor the water flow and water level at the bottom of the ditch 5. The system is also equipped with an early warning system, which mainly provides early warning of dangers. An alarm amplifier is set up to alarm, and the instructions are issued by the data acquisition control system 2.

The wireless transmission antenna 8 is mainly used in the process of data transmission and instruction reception.

The water level monitoring system 9 mainly monitors the water level and flow rate at the bottom of the ditch 5 in real time. After the data is transmitted to the data acquisition control system 2, it will be compared with rainfall and other data, and at the same time, it will be compared with the moisture sensors 1-8 and holes inside the slope. Through comparative analysis of pressure sensor values, the relationship between rainfall, flow rate and pore water pressure can be established, which lays the foundation for the instability determination of potentially unstable geological bodies.

The weather monitoring station 10 mainly conducts real-time monitoring of local meteorological indicators such as rainfall, temperature, humidity, wind direction, wind speed, air pressure, etc., stores and transmits the data, and finally transmits it to the data Data collection control system 2.

Example 4

Based on the collapse monitoring device based on satellite film feedback provided in Embodiment 3 of the present invention, as shown in Figure 4, the composite monitoring box 1 includes:

Automatic shearing system 1-1. The main function of this system is to measure the mechanical parameters of rock and soil at a certain underground level. It is mainly based on the principle of the cross-plate shear meter. The initial and changing shear strength The parameters are monitored and analyzed in real time and sent to the data collector 1-3.

Loading device 1-2, the main function of this device is to provide loading function in shear test, and at the same time it can control the penetration depth of shear plate. Since each shear will form a new shear zone, it needs to be added in later shearing. The shear plate performs secondary shear or multiple shears by loading deep into the unsheared soil, ensuring accurate test results.

The main function of the data collector 1-3 is to summarize and store the data in the entire monitoring box and transmit the data to the data acquisition control system 2.

Integrated monitors 1-4, the box wall material has a certain stiffness and is waterproof, which is obtained through customized processing.

Water chemistry monitoring sensors 1-5 mainly monitor the water chemistry properties of the layer. If the rock layer is below the groundwater level, the sensor can be tested directly. If the rock layer where the sensor is located is above the groundwater level, the sensor monitors the water migration process. The chemical composition of water in water, including parameters such as anions and cations and pH value.

Pore water pressure sensors 1-6 mainly monitor the pore water pressure in the rock and soil mass of this layer, and provide core parameters for the effective stress calculation of the entire rock and soil mass.

Mineral composition monitoring sensors 1-7 monitor and analyze the mineral composition of this layer, such as clay minerals, quartz, feldspar, etc.

Moisture sensors 1-8 mainly monitor the moisture content of this layer and can reflect moisture migration and other conditions within the rock and soil mass.

Horizontal displacement monitoring sensors 1-9. When the rock and soil mass undergoes horizontal displacement, the entire monitoring box will be squeezed. Based on this, horizontal displacement monitoring is performed to obtain horizontal displacement and deformation indicators.

Vertical displacement monitoring system 1-10, when the rock and soil mass experiences vertical settlement, this sensor can collect vertical displacement in real time.

Example 5

Based on the collapse monitoring device based on satellite film feedback provided in Embodiment 3 of the present invention, as shown in Figure 5, the flow monitoring system 6 includes:

Seepage solute test sensor 6-1 mainly monitors the chemical components of surface water, including the types and contents of anions and cations in surface water.

The water temperature monitoring sensor 6-2 mainly monitors the temperature of surface water in real time.

The pH monitoring sensor 6-3 mainly monitors the pH of surface water and can obtain data on changes in the chemical environment of surface water.

Anti-siltation and flushing system 6-4, the main function of this system is to flush the monitoring water tank 6-9 regularly, and use the flushing force to flush out the remaining solid matter at the bottom to ensure the normal use of the water tank.

The water inlet of the water storage tank is 6-5. Its main function is to let water enter the water storage tank. It has a built-in electromagnetic valve that can automatically close or open the valve as needed.

Water inlet 6-6, the water inlet of flow monitoring system 6, allows groundwater to enter the channel of the system.

Water outlet 6-7, water outlet in flow monitoring system 6.

The data memory 6-8 mainly collects and stores the data collected by the sensors in the flow monitoring system 6, and finally transmits the data to the data acquisition control system 2 in Figure 3.

Monitoring water tanks 6-9 mainly serve various surface water monitoring sensors. They install sensors fixedly and store water for testing to ensure good stability of test results.

The water tank overflow channel 6-10 monitors the water tank 6-9 and can be discharged through this channel if there is too much water.

Flow monitoring sensors 6-11 mainly monitor the surface water flow at the monitoring location and provide basic data for subsequent slope erosion analysis.

Particle composition monitoring system 6-12. The main function of this system is to test the soil particles carried in the surface water at the monitoring location to obtain the particle size of the material components carried in the water. The system has an automatic flushing function. After each test, the system Automatically flush the remaining particles at the bottom to ensure the cleanliness of the flow channel.

In the above embodiments, each embodiment is described with its own emphasis. For parts that are not detailed or documented in a certain embodiment, please refer to the relevant descriptions of other embodiments.

Since the information interaction, execution process, etc. between the above devices/units are based on the same concept as the method embodiments of the present invention, its specific functions and technical effects can be found in the method embodiments section, and will not be described again here.

Those skilled in the art can clearly understand that for convenience and simplicity of description, only Taking the above-mentioned division of each functional unit and module as an example, in practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules, so as to Complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be hardware-based. It can also be implemented in the form of software functional units. In addition, the specific names of each functional unit and module are only for the convenience of distinguishing each other and are not used to limit the scope of the present invention. For the specific working processes of the units and modules in the above system, please refer to the corresponding processes in the foregoing method embodiments, and will not be described again here.

2. Application examples:

Application example 1

The monitoring device provided by the embodiment of the present invention is used to investigate the geological disasters in the Bailongjiang River Basin. First, the Bailongjiang River Basin is selected using satellite images. Several typical disaster points are selected in this basin to deploy on-site monitoring devices and place the on-site The monitoring data is collected, sorted and imported into the indoor terminal. Based on the changes in slope stress, displacement and other data collected on site, the critical values of key indicators such as slope and rainfall are found. This data is input into the system and the learning model is repeatedly trained. , the landslide disaster here can be regarded as a typical disaster point. During model training, key pixels are extracted from the satellite images, and the pixels are connected with the changes in displacement, stress and other indicators monitored on site, and then the training is used The model can identify other similar disaster points in the entire basin, which can greatly save manpower and material resources.

Application example 2

The monitoring method provided by the embodiment of the present invention runs on a computer device. The computer device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor. The processor The steps in any of the above method embodiments are implemented when the computer program is executed.

Application example 3

The monitoring method provided by the embodiment of the present invention runs on a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps in each of the above method embodiments can be implemented.

Application example 4

The monitoring method provided by the embodiment of the present invention runs on an information data processing terminal. The information data processing terminal is used to provide a user input interface to implement the steps in the above method embodiments when executed on an electronic device. Data processing terminals are not limited to mobile phones, computers, and switches.

Application example 5

The monitoring method provided by the embodiment of the present invention runs on a server, and the server is used to provide a user input interface to implement the steps in the above method embodiments when executed on an electronic device.

Application example 6

The monitoring method provided by the embodiment of the present invention runs on a computer program product. When the computer program product is run on an electronic device, the steps in each of the above method embodiments can be implemented when the electronic device is executed.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the processes in the methods of the above embodiments by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. The computer program When executed by a processor, the steps of each of the above method embodiments may be implemented. Wherein, the computer program includes computer program code, which may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device capable of carrying computer program code to the camera device/terminal device, recording media, computer memory, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), electrical carrier signals, telecommunications signals, and software distribution media. For example, U disk, mobile hard disk, magnetic disk or CD, etc.

3. Evidence of relevant effects of the embodiment:

The monitoring device and method provided by the embodiments of the present invention comprehensively apply air-space-ground integration technology to monitor and identify avalanche disasters during use. In monitoring avalanche disasters, satellites are used for precise positioning and combined with ground real-time monitoring for identification. Indoor terminals After collecting and summarizing data, it learns and issues recognition instructions to improve the accuracy of the entire recognition technology. In this process, remote sensing geology, disaster geology, sensing technology and other contents are effectively integrated, multi-disciplinary cross-fertilization and mutual verification are carried out to promote The functions of the entire monitoring system have been greatly improved, and the efficiency has been greatly improved.

Use satellite images to identify a landslide on site, initially determine the scope of the landslide, conduct on-site monitoring, and focus on analyzing changes in groundwater and material composition. The occurrence of landslides is the result of the formation of a landslide zone, which is formed by rock formations at a certain depth within the landslide body. Macroscopic performance after soil mechanical indicators (cohesion and friction) are reduced.

The above are only preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person familiar with the technical field shall, within the technical scope disclosed in the present invention, Any modifications, equivalent substitutions and improvements made within the spirit and principles should be covered by the protection scope of the present invention.

Claims (10)

1. A landslide monitoring device based on satellite film feedback, characterized in that the landslide monitoring device based on satellite film feedback includes:

   The composite monitoring box (1) is used to monitor the chemical composition of groundwater, pore water pressure, horizontal displacement, horizontal stress and vertical stress, and monitoring wall mineral composition change indicators, and obtain relevant data at different depths of the geological body;

   The data acquisition control system (2) is used for the collection, summary, and storage of on-site data. It caches the data collected on site and transmits it using wireless transmission devices, and then summarizes the data and transmits it to the indoor satellite interpretation terminal;

   The flow monitoring system (6) is used to monitor the surface water flow at different locations on the slope, and to test and analyze the chemical composition and pH data of the surface water. After collecting the flow data, it is integrated with the meteorological data to analyze the flow at different locations. Flow and rainfall indicators;

   The laser scanning monitoring system (7) is used to conduct real-time monitoring and analysis of the erosion pattern of the slope surface, obtain the erosion pattern data at different positions on the slope surface, calculate the erosion situation by comparing it with the original slope surface form, and analyze the ditch bottom (5 ) to monitor the water flow and water level and provide early warning of dangerous situations;

   The water level monitoring system (9) is used to monitor the water level and flow rate at the bottom of the ditch (5) in real time. After transmitting it to the data acquisition control system (2), it is compared with the rainfall data, and at the same time, it is compared with the moisture sensor (1) inside the slope. -8) and pore pressure sensor values are compared and analyzed to obtain the relationship between rainfall-flow-pore water pressure.
2. The avalanche monitoring device based on satellite image feedback according to claim 1, characterized in that the avalanche monitoring device based on satellite image feedback further includes: a power supply system (3), which is powered by two modules: solar power and wind energy. It uses solar and wind energy to supplement power and provide power to the entire monitoring system;

   The power supply system (3) adopts frequency conversion automatic control. When the parameters of the same sensor change ≤0.1% for one consecutive week, one-third of the power supply of the common sensor is automatically cut off and remains in the state to be measured. Fluctuating current is fed back to the power supply system (3). ), the power supply system (3) starts to supply power again, and the sensor returns to normal.
3. The avalanche monitoring device based on satellite image feedback according to claim 1, characterized in that the avalanche monitoring device based on satellite image feedback further includes:

   Wireless transmission antenna (8), used for data transmission and instruction reception;

   Meteorological monitoring station (10), used to monitor local rainfall, temperature, humidity, wind direction, wind speed, The air pressure and meteorological indicators are monitored in real time, and the data is stored and transmitted, and finally transmitted to the data acquisition and control system (2).
4. The landslide monitoring device based on satellite feedback according to claim 1, characterized in that the composite monitoring box (1) includes:

   The automatic shearing system (1-1) is used to measure the mechanical parameters of rock and soil at a certain level underground, monitor and analyze the initial and changing shear strength parameters in real time, and transmit them to the data collector. (1-3);

   Loading device (1-2), used to provide loading during shear tests and also used to control the penetration depth of the shear plate;

   Data collector (1-3), used to summarize and store the data in the entire monitoring box, and transmit the data to the data acquisition control system (2);

   Integrated monitors (1-4) for waterproofing;

   Water chemistry monitoring sensors (1-5) are used to monitor the water chemistry characteristics of geological layers. If the rock layer is located below the groundwater level, the test will be performed directly. If the rock layer where the sensor is located is above the groundwater level, the water migration process will be monitored. chemical composition of water;

   Pore water pressure sensors (1-6) are used to monitor the pore water pressure in the rock and soil mass of the geological layer, and provide core parameters for the calculation of the effective stress of the entire rock and soil mass;

   Mineral composition monitoring sensors (1-7) monitor and analyze the mineral composition of geological layers;

   Sub-sensors (1-8) are used to monitor the moisture content of the geological layer and reflect the moisture migration status inside the rock and soil mass;

   Horizontal displacement monitoring sensors (1-9) are used to monitor horizontal displacement when the rock and soil mass undergoes horizontal displacement, and obtain horizontal displacement and deformation indicators;

   The vertical displacement monitoring system (1-10) is used to collect vertical displacement in real time when the rock and soil mass undergoes vertical settlement.
5. The avalanche monitoring device based on satellite film feedback according to claim 1, characterized in that the flow monitoring system (6) includes:

   Seepage solute testing sensor (6-1) is used to monitor chemical components in surface water, including the types and contents of anions and cations in surface water;

   Water temperature monitoring sensor (6-2), used for real-time monitoring of surface water temperature;

   pH monitoring sensor (6-3) is used to monitor the pH of surface water to obtain surface Data on environmental changes in water chemistry;

   Anti-siltation and flushing system (6-4), used for regular flushing of the monitoring water tank (6-9);

   The water inlet (6-5) of the water storage tank is used to allow water to enter the water storage tank. It has a built-in electromagnetic valve that automatically closes or opens the valve as needed;

   The water inlet (6-6) is used for water inlet of the flow monitoring system (6) and allows groundwater to enter the system;

   Water outlet (6-7), used for water outlet in the flow monitoring system (6);

   Data memory (6-8), used to collect and store data collected by sensors in the flow monitoring system (6), and finally transmit the data to the data acquisition control system (2);

   Monitoring water tanks (6-9) are used to serve various surface water monitoring sensors, fixedly install sensors, and store water for testing;

   The water tank overflow channel (6-10) is used to monitor and discharge excess water in the water tank (6-9);

   Flow monitoring sensor (6-11), used to monitor surface water flow at the monitoring location;

   The particle composition monitoring system (6-12) is used to test the soil particles carried in the surface water at the monitoring location to obtain the particle size of the material components carried in the water.
6. A method for monitoring potential instability and landslide disasters using the landslide monitoring device based on satellite image feedback according to any one of claims 1 to 5, characterized in that the method for monitoring potential instability and landslide disasters includes the following step:

   Step 1: Delineate the geological disaster survey scope selected in the satellite images, and then deploy on-site avalanche monitoring devices based on satellite image feedback;

   Step 2: Monitor the deformation and stress in the evolution of the slope, feed back the real-time data to the indoor satellite image interpretation terminal, repeatedly train the established learning model, and combine the migration elements of the on-site slope with the pixels in the satellite image. Change creates connections;

   Step 3: Based on the pre-programmed safety threshold, monitor and warn on-site landslide disasters.
7. The method for monitoring potential instability and landslide disasters according to claim 6, characterized by:

   In step one, the satellite image interpretation learning model is trained using monitoring data of potential instability and landslide disasters, and the learning model is used to identify potential instability slopes;

   In the second step, in machine learning, the machine is repeatedly trained by setting a data set of changes in key indicators such as slope, aspect, altitude, and rainfall, and the sliding model is calculated based on the neural network method. Predict and analyze the occurrence of slope disasters, and identify wild landslide disasters based on this; the learning model is: M=F(x1,x2,x3….), x1, x2, and x3 are the keys to slope, slope direction, and rainfall respectively. index;

   The prediction and analysis of the occurrence of landslide disasters based on the neural network method, and the identification of wild landslide disasters based on this include:

   Based on the changes in slope, aspect and rainfall indicators obtained through on-site monitoring, combined with the displacement in remote sensing satellite images, the deformation state of the slope is judged, and the stability of the landslide is analyzed based on the deformation state and deformation rate to identify potential unstable edges. slope;

   In step three, the safety threshold is set in combination with the safety factor of the landslide disaster. The safety factor is the ratio of the anti-sliding force or moment to the sliding force or moment. The safety threshold is a function of the safety factor and is determined according to the change of the safety factor. The changing pattern of safety thresholds;

   Among them, F=N/T, F is the safety factor, N is the anti-skid force or anti-skid moment, KN; T is the sliding force or moment, KN.
8. An indoor satellite video interpretation terminal, used to implement the monitoring method of potential instability and landslide disasters described in claim 6.
9. A program storage medium that receives user input, and the stored computer program causes an electronic device to execute the monitoring method for potential instability and landslide disasters described in claim 6.
10. A computer device, characterized in that the computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor causes the processor to execute claim 6 Monitoring methods for potential instability and landslide disasters.