A multi-factor monitoring method and system for high-altitude landslide hazard chain

Abstract

The embodiment of the present invention provides a multi-factor monitoring method and system for a high-level landslide disaster chain. The method includes: obtaining initial monitoring information of the monitoring equipment; the monitoring equipment is used to monitor at least one geological disaster among high-level landslides, debris flows and landslide dams; determining the deformation state information of the high-level landslide according to the initial monitoring information; adjusting the deployment position of the monitoring equipment of the debris flow and the landslide dam according to the deformation state information of the high-level landslide; obtaining the adjusted monitoring information of the monitoring equipment; determining the warning level of the high-level landslide, debris flow and landslide dam according to the monitoring information and early warning criteria. The embodiment of the present invention can realize the linkage monitoring between high-level landslides, debris flows and landslide dams, and optimize the deployment of the monitoring equipment positions of the debris flow and the landslide dam in a targeted manner, thereby improving the effectiveness of monitoring and early warning.

Description

Technical Field

[0001] The present invention relates to the field of geological disaster monitoring, and in particular to a multi-factor monitoring method and system for a high-position landslide disaster chain. Background Art

[0002] High-altitude landslide disasters are one of the typical geological disaster types in the Qinghai-Tibet Plateau and surrounding areas of my country. High-altitude landslide disasters are characterized by large scale, complex disaster mechanism, and wide threat range. Once unstable, they will cause serious damage to road traffic, water and power facilities, people's lives and property, and social and economic security in the affected areas. Therefore, it is necessary to carry out effective monitoring and early warning of the high-altitude landslide disaster chain.

[0003] Existing geological disaster monitoring methods include rainfall, cracks, displacement, moisture content, water level and other monitoring methods, which have basically realized remote automatic monitoring, and can effectively transmit on-site monitoring data through Beidou satellites. Most of the current monitoring methods are single-means monitoring, for example, single monitoring of landslides, debris flows or barrier dams, and there is no effective monitoring method for linkage monitoring and early warning between different types of geological disasters in the high-level geological disaster chain.

[0004] However, as mentioned above, the current monitoring system only realizes the monitoring of a single high-level landslide, debris flow or landslide dam, and only deploys different types of monitoring sensors at each disaster point, which can only realize the monitoring and early warning of a single disaster. The occurrence of the high-level landslide disaster chain is a disaster chain of complex dynamic processes caused by the instability starting area of ​​the high-altitude ice and rock collapse. Therefore, it is necessary to have a deep understanding of the instability starting characteristics of the high-level material source of the high-level landslide disaster chain, the long-range movement characteristics of the debris flow, and the accumulation characteristics of the accumulation body in order to predict the location of the debris flow area and the landslide dam. Therefore, the monitoring equipment deployed in the debris flow and landslide dam is not necessarily the best monitoring location, which reduces the effectiveness of monitoring and early warning. Summary of the invention

[0005] The embodiment of the present invention provides a multi-factor monitoring method and system for a high-level landslide disaster chain, which can realize the linkage monitoring between high-level landslides, debris flows and landslide dams, and optimize the deployment of monitoring equipment locations for debris flows and landslide dams in a targeted manner, thereby improving the effectiveness of monitoring and early warning.

[0006] In a first aspect, an embodiment of the present invention discloses a multi-factor monitoring method for a high-level landslide disaster chain, the method comprising:

[0007] Acquiring initial monitoring information of a monitoring device; the monitoring device is used to monitor at least one geological disaster of a high-level landslide, a debris flow, and a landslide dam;

[0008] Determining deformation state information of the high-level landslide according to the initial monitoring information;

[0009] According to the deformation state information of the high-level landslide, the deployment position of monitoring equipment for debris flow and landslide dam is adjusted;

[0010] Obtaining the adjusted monitoring information of the monitoring device;

[0011] The warning level of high-level landslides, debris flows and landslide dams is determined based on the monitoring information and warning criteria.

[0012] Optionally, determining the warning level of high-level landslides, debris flows and barrier dams according to the monitoring information and warning criteria includes:

[0013] Determine the warning status corresponding to the high-level landslide, debris flow and landslide dam respectively according to the monitoring data and the warning trigger threshold;

[0014] Determining the high-level landslide warning level, the debris flow warning level and the landslide dam warning level according to the warning states corresponding to the high-level landslide, the debris flow and the landslide dam;

[0015] Corresponding warning information is generated according to the high-level landslide warning level, debris flow warning level and landslide dam warning level.

[0016] Optionally, the determining the warning states corresponding to the high-level landslide, the debris flow and the barrier dam respectively according to the monitoring data and the warning trigger threshold comprises:

[0017] Determine the combined displacement and acceleration changes of the surface displacement deformation of the high-position landslide according to the monitoring data;

[0018] Determine a warning state corresponding to the high-level landslide according to the combined displacement, the acceleration change, and the high-level landslide warning threshold;

[0019] Determine the movement characteristics and outbreak scale of the debris flow based on the monitoring data;

[0020] Determining a warning state corresponding to the debris flow according to the movement characteristics, the outbreak scale and the debris flow warning threshold of the debris flow;

[0021] Determine the water level change, soil moisture content change and deformation state of the dam according to the monitoring data;

[0022] The warning state corresponding to the landslide dam is determined according to the water level change of the landslide dam, the soil moisture content change, the deformation state, and the landslide dam warning threshold.

[0023] Optionally, determining the deformation characteristics of the high-level landslide according to the initial monitoring information includes:

[0024] determining deformation characteristics of the high-level landslide according to the initial monitoring information;

[0025] When the deformation characteristics indicate that the high-level landslide is in an unstable and damaged state, first geological information of a debris flow after the high-level landslide becomes unstable and second geological information of a dam formed by the high-level landslide are determined.

[0026] Optionally, the first geological information of the debris flow includes at least one of the following:

[0027] Debris flow channel area;

[0028] Debris flow channel slope;

[0029] Debris flow channel material composition;

[0030] Geological environment information around the debris flow channel.

[0031] Optionally, the second geological information of the barrier dam includes at least one of the following:

[0032] Volume information of the barrier dam;

[0033] The material composition of the barrier dam;

[0034] The geological environment information around the dam.

[0035] In a second aspect, an embodiment of the present invention discloses a multi-factor monitoring system for a high-level landslide disaster chain, the system comprising: a multi-factor monitoring unit, an intelligent deployment unit, and an intelligent analysis and early warning unit;

[0036] The multi-element monitoring unit is used to obtain initial monitoring information of the monitoring equipment; the monitoring equipment is used to monitor at least one geological disaster among high-level landslide, debris flow and barrier dam;

[0037] The intelligent deployment unit is used to determine the deformation state information of the high-level landslide according to the initial monitoring information; and adjust the deployment position of the monitoring equipment of the debris flow and the barrier dam according to the deformation state information of the high-level landslide;

[0038] The multi-factor monitoring unit is further used to obtain the adjusted monitoring information of the monitoring device;

[0039] The intelligent analysis and early warning unit is used to determine the early warning level of high-level landslides, debris flows and landslide dams based on the monitoring information and early warning criteria.

[0040] Optionally, the intelligent analysis and early warning unit includes:

[0041] A data processing subunit, for determining the warning states corresponding to the high-level landslide, the debris flow and the barrier dam respectively according to the monitoring data and the warning triggering threshold;

[0042] The early warning linkage subunit is used to determine the high-level landslide early warning level, debris flow early warning level and landslide dam early warning level according to the early warning status corresponding to the high-level landslide, debris flow and landslide dam; and generate corresponding early warning information according to the high-level landslide early warning level, debris flow early warning level and landslide dam early warning level.

[0043] Optionally, the data processing subunit is further used for:

[0044] Determine the combined displacement and acceleration changes of the surface displacement deformation of the high-position landslide according to the monitoring data;

[0045] Determine a warning state corresponding to the high-level landslide according to the combined displacement, the acceleration change, and the high-level landslide warning threshold;

[0046] Determine the movement characteristics and outbreak scale of the debris flow based on the monitoring data;

[0047] Determining a warning state corresponding to the debris flow according to the movement characteristics, the outbreak scale and the debris flow warning threshold of the debris flow;

[0048] Determine the water level change, soil moisture content change and deformation state of the dam according to the monitoring data;

[0049] The warning state corresponding to the landslide dam is determined according to the water level change of the landslide dam, the soil moisture content change, the deformation state, and the landslide dam warning threshold.

[0050] Optionally, the intelligent allocation unit is specifically used for:

[0051] determining deformation characteristics of the high-level landslide according to the initial monitoring information;

[0052] When the deformation characteristics indicate that the high-level landslide is in an unstable and damaged state, first geological information of a debris flow after the high-level landslide becomes unstable and second geological information of a dam formed by the high-level landslide are determined.

[0053] Optionally, the first geological information of the debris flow includes at least one of the following:

[0054] Debris flow channel area;

[0055] Debris flow channel slope;

[0056] Debris flow channel material composition;

[0057] Geological environment information around the debris flow channel.

[0058] Optionally, the second geological information of the barrier dam includes at least one of the following:

[0059] Volume information of the barrier dam;

[0060] The material composition of the barrier dam;

[0061] The geological environment information around the dam.

[0062] In a third aspect, an embodiment of the present invention discloses an electronic device, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the aforementioned method for monitoring the high-level landslide disaster chain when executing the computer program.

[0063] In a fourth aspect, an embodiment of the present invention discloses a machine-readable medium having instructions stored thereon, which, when executed by one or more processors of a device, enables the device to execute the multi-factor monitoring method for a high-level landslide hazard chain as described above.

[0064] The embodiments of the present invention include the following advantages:

[0065] The multi-factor monitoring method for the high-level landslide disaster chain provided by the embodiment of the present invention can perform real-time dynamic monitoring of high-level landslides, debris flows and landslide dams, and can adjust the deployment position of the monitoring equipment of the debris flows and landslide dams in real time according to the deformation state information of the high-level landslides. According to the monitoring information and early warning criteria collected by the adjusted monitoring equipment, the early warning level of the high-level landslides, debris flows and landslide dams is determined, thereby ensuring the timeliness of subsequent monitoring of debris flows and landslide dams and improving the effectiveness of monitoring and early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0067] Figure 1 It is a flowchart of the steps of an embodiment of a multi-factor monitoring method for a high-level landslide hazard chain of the present invention;

[0068] Figure 2 It is a structural block diagram of a high-level disaster chain multi-factor monitoring system of the present invention;

[0069] Figure 3 It is a structural block diagram of an embodiment of a multi-factor monitoring device for a high-level landslide disaster chain of the present invention;

[0070] Figure 4 It is a structural schematic diagram of an electronic device of the present invention. DETAILED DESCRIPTION

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] The terms "first", "second", etc. in the specification and claims of the present invention are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable when appropriate, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, the term "and / or" in the specification and claims is used to describe the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. In the embodiments of the present invention, the term "multiple" refers to two or more, and other quantifiers are similar.

[0073] Reference Figure 1 , shows a flowchart of a method for monitoring multiple factors of a high-level landslide hazard chain according to an embodiment of the present invention, the method may include the following steps:

[0074] Step 101, obtaining initial monitoring information of a monitoring device; the monitoring device is used to monitor at least one geological disaster among high-level landslide, debris flow and barrier dam;

[0075] Step 102: determining deformation state information of the high-level landslide according to the initial monitoring information;

[0076] Step 103: adjusting the deployment position of monitoring equipment for debris flow and landslide dam according to the deformation state information of the high-level landslide;

[0077] Step 104: Acquire the adjusted monitoring information of the monitoring device;

[0078] Step 105: Determine the warning level of high-level landslides, debris flows and landslide dams according to the monitoring information and warning criteria.

[0079] The multi-factor monitoring method for a high-level landslide disaster chain provided by the embodiment of the present invention can be applied to a multi-factor monitoring system for a high-level disaster chain. Figure 2 , shows a structural block diagram of a high-level disaster chain multi-factor monitoring system provided by an embodiment of the present invention. Figure 2 As shown, the monitoring system may include a multi-factor monitoring unit, an intelligent deployment unit, and an intelligent analysis and early warning unit. Among them, the multi-factor monitoring unit is used to monitor the monitoring sensors of high-level landslides, debris flows and landslide dams, and transmit the information to the intelligent analysis unit. The intelligent deployment unit is used to re-determine the sensor deployment positions of the debris flow and the landslide dam according to the instability and destruction process of the high-level landslide and the position of the formed landslide dam. The intelligent analysis and early warning unit is used to analyze the movement characteristics of the high-level landslide according to the actual deformation information and movement information of the high-level landslide, set the early warning level of the high-level landslide in layers, and link the intelligent deployment unit to readjust the sensor deployment positions of the landslide dam and the debris flow according to the size of the early warning level; in addition, it is also used to release early warning information in the area affected by the debris flow and the landslide dam, reminding people and vehicles in the affected area to evacuate in time.

[0080] In a possible embodiment of the present invention, the multi-factor monitoring unit may include a high-level landslide monitoring subunit, a debris flow monitoring subunit, and a dam monitoring subunit. The high-level landslide monitoring subunit is used to obtain the deformation characteristics of the high-level landslide during the instability and destruction process, mainly using Beidou satellites to obtain three-dimensional spatial positioning information to monitor the surface displacement deformation of the landslide, and using acceleration sensors and gyroscopes to track the movement trajectory of the landslide during instability and destruction. The debris flow monitoring subunit is used to obtain the movement characteristics of the debris flow and the accumulation flow characteristics, mainly using mud water level and flow velocity sensors to monitor the water level changes and flow velocity of the debris flow, and using pressure sensors to obtain the pressure changes caused by the debris flow movement process on the ditch bottom, and then through a series of comprehensive calculations, the flow rate, pressure and other parameters are comprehensively calculated to obtain the scale and level of the debris flow outbreak. The dam monitoring subunit is used to obtain the state characteristics after the high-level landslide forms a dam, mainly using a water level sensor to monitor the water level changes in the dam, and using video monitoring to monitor whether the dam has a breach or overflow phenomenon.

[0081] The intelligent deployment unit may include a debris flow information subunit, a barrier dam information subunit, and an equipment point selection and deployment subunit. The debris flow information subunit is used to obtain the geological information of the debris flow, including the debris flow channel area, channel slope, channel material composition, and geological environment information around the channel. The barrier dam information subunit is used to obtain the geological information of the barrier dam, including the volume information of the barrier dam, the material composition of the barrier dam, and the geological environment information around the barrier dam. The equipment point selection and deployment subunit mainly carries out the initial deployment information of the monitoring sensors and monitoring equipment of the debris flow and the barrier dam based on the above-mentioned geological information of the debris flow and the barrier dam.

[0082] The intelligent analysis and early warning unit may include a command control subunit, a data interaction subunit, a data processing subunit, and an early warning linkage subunit. Among them, the command control subunit is used for two-way command control between the background monitoring center and the field monitoring equipment. The data interaction subunit, on the one hand, is used to store the monitoring data collected on site into the memory of the field monitoring equipment; on the other hand, it is used to send the monitoring data collected on site to the background monitoring center through the Beidou satellite module. The data processing subunit is used to compare and analyze the pre-set early warning values ​​of each sensor with the sensor monitoring data collected in the current memory, the purpose is to process and analyze the specific instability and damage status of the high-level landslide geological body, and to judge whether the high-level landslide is already in an unstable state, so as to transmit the processing information to the early warning linkage subunit. The early warning linkage subunit is used to sequentially determine the early warning status of the high-level landslide, debris flow, and landslide dam according to the information of the data processing subunit, and sequentially link the monitoring and early warning information between the three according to the actual early warning status.

[0083] In an optional embodiment of the present invention, the intelligent deployment unit receives control from the data processing subunit, and adjusts the positions of the equipment arranged for the debris flow and the landslide dam according to the processing and analysis of the geological information of the debris flow and the landslide dam by the data processing subunit.

[0084] In an embodiment of the present invention, the initial positions of the monitoring equipment of the high-level landslide, debris flow, and dam in the high-level landslide disaster chain can be determined by the equipment point selection deployment subunit. Then, the initial monitoring information of the monitoring equipment is obtained by the multi-factor monitoring unit, for example, it can include multi-parameter monitoring information of the high-level landslide, debris flow, and dam, and the acquired initial monitoring information is transmitted to the intelligent analysis and early warning unit. Exemplarily, the multi-parameter monitoring information of the high-level landslide is the three-dimensional spatial change of the high-level landslide, the acceleration change of the instability and destruction process of the high-level landslide, and the rainfall of the high-level landslide. The multi-parameter monitoring information of the debris flow is the change of the water level of the debris flow, the change of the flow velocity of the debris flow, the change of the pressure of the debris flow, and the change of the debris flow. The multi-parameter monitoring information of the dam is the change of the water level of the dam, the change of the soil moisture content of the dam, and whether the dam has a breach or overflow phenomenon.

[0085] Next, the data processing subunit in the intelligent analysis and early warning unit processes the initial monitoring information of high-level landslides, debris flows, and landslide dams in real time, and determines the deformation state of the high-level landslide according to the initial set early warning criteria, and determines the deformation state information of the high-level landslide. Specifically, considering that the high-level landslide disaster is a complex geological disaster, the high-level landslide located in the high-level starting area is the source of the disaster chain. Therefore, the intelligent analysis and early warning unit determines the deformation state of the high-level landslide in real time.

[0086] According to the deformation state information of the high-level landslide, the intelligent deployment unit is triggered by the command control subunit to issue instructions to reasonably adjust the deployment position of the debris flow and the landslide dam monitoring equipment. In the embodiment of the present invention, the deployment position of the monitoring equipment in the area where the debris flow and the landslide dam are located can be reasonably adjusted by determining the state of the high-level landslide, thereby effectively improving the monitoring effect.

[0087] Finally, the early warning linkage subunit makes corresponding judgments and releases early warning messages for the early warning levels of high-level landslides, debris flows, and landslide dams according to the early warning criteria. Specifically, the early warning linkage subunit can refer to the multi-parameter monitoring information of high-level landslides, debris flows, and landslide dams, set their respective corresponding early warning criteria, and set the early warning level according to the early warning criteria of each parameter.

[0088] It can be understood that in the embodiments of the present invention, early warning criteria for different types of disasters in the high-level geological disaster chain can be set according to high-level landslides, debris flows, and landslide dams, respectively. According to the early warning criteria, it is determined whether the high-level landslides, debris flows, and landslide dams in the high-level geological disaster chain are in a normal state, and the working mode of the high-level disaster chain is adjusted in real time according to the high-level landslide early warning criteria of the high-level start-up area, so as to effectively link the monitoring timeliness of subsequent debris flows and landslide dams.

[0089] Considering that the landslide disaster chain in plateau areas often has the characteristics of high position (instability area is higher than 5000 meters), long distance (movement distance exceeds 5000 meters) and chain disasters of blocking the river and dam breaking, the volume of the high-altitude source area is mostly super-large landslides, which are transformed into high-speed long-distance debris flow after instability, and form large-scale barrier dams after blocking the river. The barrier dams burst and form basin-wide floods. If the real-time dynamic monitoring of the movement process of the high-level landslide disaster chain is not carried out, it will lead to the failure of timely monitoring and early warning of subsequent floods. Therefore, the high-level landslide disaster chain multi-factor monitoring system based on Beidou satellite disclosed in the present invention can deploy corresponding monitoring equipment and set corresponding early warning criteria according to the geological characteristics of high-level landslides, debris flows and barrier dams. On the one hand, it can realize the linkage monitoring between high-level landslides, debris flows and barrier dams, and on the other hand, it can also realize the early warning criteria of different disasters in the high-level landslide disaster chain, forming a classified multi-level early warning mode.

[0090] Optionally, the data processing subunit is provided with three warning channels, the first channel is a high-level landslide warning channel, the second channel is a debris flow warning channel, and the third channel is a barrier dam warning channel. Four different types of warning levels are respectively provided in the three warning channels, and the warning levels can be expressed as attention, warning, alert, and alarm.

[0091] As an example, the data processing subunit can capture the high-level disaster chain monitoring data stored in the memory of the background monitoring center, and through the analysis and calculation of the setting early warning model, carry out early warning and disposal for different types of disasters such as high-level landslides, debris flows, and landslide dams, and set and judge the four different types of early warning levels in a targeted manner, so as to realize the trigger linkage among high-level landslides, debris flows and landslide dams in an efficient and practical way.

[0092] The attention level means that the type of disaster should receive the attention of technical personnel. If one of the monitoring devices in the disaster monitoring equipment reaches the warning criteria, the attention level warning can be activated, which means that a suspicious state has indeed occurred within the monitoring range. The further expansion of the suspicious state will affect the further development trend of the disaster, reminding technical personnel to pay attention to the development of the disaster.

[0093] The warning level is that this type of disaster should attract the attention of technical personnel. The monitoring data in the monitoring equipment of this type of disaster shows obvious changes, and certain abnormal phenomena have occurred in this type of disaster. This abnormal phenomenon is a typical precursor to a disaster of this type of disaster, and the technical personnel are warned to check the data change status of the monitoring equipment deployed for this type of disaster.

[0094] The alert level is that this type of disaster should be highly valued by technical personnel and managers. All monitoring equipment of this type of disaster has shown obvious changes, and this type of disaster shows a certain trend of accelerated change. This change trend is the external manifestation of the disaster impact of this type of disaster. Technical personnel and managers are required to always pay attention to the data change status of the monitoring equipment deployed for this type of disaster, and issue early warning messages to the threatened areas to increase vigilance.

[0095] The alert level is the highest level, indicating that the disaster is about to occur. All monitoring equipment for the disaster has shown very obvious changes. The disaster has already shown the external manifestations of a disaster. Technical and management personnel are required to continuously issue early warning messages, continue to send early warning messages to threatened areas, and immediately take disaster safety and risk avoidance measures.

[0096] The present invention sets up early warning levels for three channels respectively for high-level landslides, debris flows, and landslide dams, and sets up four early warning levels respectively within the three channels, which can effectively remind on-site technicians and background management personnel to effectively adjust the deployment position of monitoring equipment according to actual monitoring conditions, can effectively play the actual role of early warning linkage, and effectively ensure the monitoring effect of the high-level geological disaster chain.

[0097] Optionally, determining the warning level of high-level landslides, debris flows and barrier dams according to the monitoring information and warning criteria includes:

[0098] Step S11, determining the warning states corresponding to the high-level landslide, debris flow and barrier dam respectively according to the monitoring data and the warning trigger threshold;

[0099] Step S12, determining the high-level landslide warning level, the debris flow warning level and the landslide dam warning level according to the warning states corresponding to the high-level landslide, the debris flow and the landslide dam;

[0100] Step S13: generating corresponding warning information according to the high-level landslide warning level, the debris flow warning level and the landslide dam warning level.

[0101] In an embodiment of the present invention, the early warning linkage subunit sequentially determines the early warning status of the high-level landslide, debris flow, and barrier dam according to the information of the data processing subunit, and sequentially links the early warning information between the three according to the actual early warning status. Exemplarily, the data processing subunit can set the early warning level trigger thresholds of the high-level landslide, debris flow, and barrier dam respectively according to the actual monitoring information.

[0102] Optionally, the determining the warning states corresponding to the high-level landslide, the debris flow and the barrier dam respectively according to the monitoring data and the warning trigger threshold comprises:

[0103] Step S21, determining the combined displacement and acceleration change of the surface displacement deformation of the high-position landslide according to the monitoring data;

[0104] Step S22, determining a warning state corresponding to the high-level landslide according to the combined displacement, the acceleration change, and the high-level landslide warning threshold;

[0105] Step S23, determining the movement characteristics and outbreak scale of the debris flow according to the monitoring data;

[0106] Step S24, determining a warning state corresponding to the debris flow according to the movement characteristics, the outbreak scale and the debris flow warning threshold of the debris flow;

[0107] Step S25, determining the water level change, soil moisture content change and deformation state of the barrier dam according to the monitoring data;

[0108] Step S26: determining the warning state corresponding to the landslide dam according to the water level change of the landslide dam, the soil moisture content change, the deformation state, and the landslide dam warning threshold.

[0109] In an embodiment of the present invention, the early warning trigger thresholds of high-level landslides, debris flows, and barrier dams can be set respectively. Exemplarily, high-level landslides refer to whether the combined displacement of surface displacement deformation and the acceleration change have reached the high-level landslide early warning threshold, debris flows refer to whether the water level or pressure during the movement of debris flows has reached the debris flow threshold, and barrier dams refer to whether the water level inside the barrier dam body has reached the barrier dam threshold and whether there is an overflow phenomenon or a dam body breach phenomenon in the video monitoring. According to the size relationship between the monitoring data of high-level landslides, debris flows, and barrier dams and the early warning threshold, their corresponding early warning states can be determined.

[0110] Among them, the high-level landslide monitoring subunit can be used to obtain the deformation characteristics of the high-level landslide during the instability and destruction process. For example, the Beidou satellite is used to obtain three-dimensional spatial positioning information to monitor the displacement deformation of the landslide surface, and the acceleration sensor and gyroscope are used to track the motion trajectory of the landslide during the instability and destruction process. Then, the obtained deformation characteristics are transmitted to the data processing subunit.

[0111] The debris flow monitoring subunit is used to obtain the movement characteristics of long-range debris flows after the instability of high-level landslides. For example, mud water level and flow velocity sensors are used to monitor the water level changes and flow velocity of the debris flow, and pressure sensors are used to obtain the pressure changes on the ditch bottom caused by the movement of the debris flow. Then, through a series of comprehensive calculations, the flow rate, pressure and other parameters are calculated comprehensively to obtain the outbreak scale level of the debris flow.

[0112] The dam monitoring subunit is used to obtain the state characteristics of the dam after the high-level landslide forms the dam. The water level sensor is mainly used to monitor the water level changes in the dam, and video monitoring is used to monitor whether the dam has burst or overflow.

[0113] These monitoring subunits transmit data to the data processing subunit. The data processing subunit can compare and analyze the pre-set warning values ​​of each sensor with the sensor monitoring data collected in the current memory, with the purpose of processing and analyzing the specific instability and damage status of the high-level landslide geological body, judging whether the high-level landslide is already in an unstable state, and transmitting the processed information to the early warning linkage subunit.

[0114] Optionally, determining the deformation characteristics of the high-level landslide according to the initial monitoring information includes:

[0115] Step S31, determining the deformation characteristics of the high-level landslide according to the initial monitoring information;

[0116] Step S32: when the deformation characteristics indicate that the high-level landslide is in an unstable and damaged state, determine first geological information of debris flow after the high-level landslide becomes unstable and second geological information of a dam formed by the high-level landslide.

[0117] The first geological information of the debris flow includes at least one of the following:

[0118] Debris flow channel area;

[0119] Debris flow channel slope;

[0120] Debris flow channel material composition;

[0121] Geological environment information around the debris flow channel.

[0122] The debris flow ditch area mainly refers to the average longitudinal length and average width of the debris flow ditch area. The source area, flow area and formation area of ​​the debris flow ditch should be reasonably planned according to the size of the debris flow ditch area, and the corresponding number of monitoring equipment should be set.

[0123] The slope of the debris flow channel mainly refers to the slope of the banks on both sides of the debris flow channel. The deployment position of the actual monitoring equipment is considered according to the steepness of the slopes on both sides.

[0124] The material composition of the debris flow channel mainly refers to the amount of sediment and stones contained in the debris flow when it is formed. The corresponding monitoring equipment type is set according to the amount of sediment and stones contained.

[0125] The geological environment information around the debris flow gully mainly refers to the geological environment where the debris flow to be monitored is located, such as rainfall, soil moisture content and other indicators.

[0126] Optionally, the second geological information of the barrier dam includes at least one of the following:

[0127] Volume information of the barrier dam;

[0128] The material composition of the barrier dam;

[0129] The geological environment information around the dam.

[0130] Among them, the volume information of the landslide dam mainly refers to the size of the landslide dam. It is necessary to set the corresponding number of monitoring equipment according to the size of the landslide dam to monitor the key areas of the landslide dam.

[0131] The material composition of the landslide dam includes rock, soil, etc. Different types of video monitoring equipment need to be set up according to the material composition of the landslide dam.

[0132] The geological environment information around the landslide dam mainly refers to the geological environment of the landslide dam to be monitored, such as soil moisture content, pressure, runoff and other indicators.

[0133] In the embodiment of the present invention, the warning level of the disaster type can be analyzed based on the acquired monitoring parameters of the high-level landslide, debris flow and landslide dam and the corresponding warning criterion indicators that have been set through comprehensive calculation.

[0134] Specifically, the change of the landslide can be determined based on the deformation and displacement of the high-level landslide, using h x ,h y ,v z They represent the deformation of the high-level landslide in the horizontal direction X, horizontal direction Y and vertical direction Z respectively. The calculation formula for the total displacement change is:

[0135]

[0136] In the formula, C xyz is the change in deformation and displacement of the high-level landslide, h′ x , h′ y , v′ z are the displacement values ​​of the high-level landslide in the horizontal X, Y and vertical Z directions at the current moment, h x 、h y 、v z It is the displacement value in the horizontal X, Y and vertical Z directions of the high-level landslide monitoring at the last moment.

[0137] The deformation rate of the combined displacement of a high-level landslide is the displacement change within a certain period of time (Δt), and the calculation formula is:

[0138] V xyz =C xyz / Δt (2)

[0139] The deformation acceleration of the combined displacement of a high-level landslide is the displacement velocity change within a certain period of time, and the calculation formula is:

[0140] a xyz =ΔV xyz / Δt (3)

[0141] Furthermore, the present invention calculates the displacement change V of the high-level landslide within a certain period of time by comprehensive calculation xyz And the displacement change acceleration a xyz To determine the deformation state of the high-level landslide.

[0142] The data processing subunit determines the warning level of the high-level landslide based on the comprehensive information of other parameters of the high-level landslide. If a certain warning level is reached, the intelligent analysis unit will timely activate the warning linkage unit to trigger the debris flow monitoring subunit or the landslide dam monitoring subunit, and comprehensively judge whether to issue a warning information.

[0143] In summary, the embodiments of the present invention provide a multi-factor monitoring method for a high-level landslide disaster chain, which can perform real-time dynamic monitoring of high-level landslides, debris flows and landslide dams, and can adjust the deployment position of the monitoring equipment of the debris flows and landslide dams in real time according to the deformation state information of the high-level landslides. According to the monitoring information and early warning criteria collected by the adjusted monitoring equipment, the early warning level of the high-level landslides, debris flows and landslide dams is determined, thereby ensuring the timeliness of subsequent monitoring of debris flows and landslide dams and improving the effectiveness of monitoring and early warning.

[0144] It should be noted that, for the sake of simplicity, the method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0145] Reference Figure 3 , showing a structural block diagram of an embodiment of a multi-factor monitoring system for a high-level landslide disaster chain of the present invention, the system comprises: a multi-factor monitoring unit 301, an intelligent allocation unit 302 and an intelligent analysis and early warning unit 303;

[0146] The multi-element monitoring unit 301 is used to obtain initial monitoring information of a monitoring device; the monitoring device is used to monitor at least one geological disaster among high-level landslides, debris flows and barrier dams;

[0147] The intelligent deployment unit 302 is used to determine the deformation state information of the high-level landslide according to the initial monitoring information; and adjust the deployment position of the monitoring equipment of the debris flow and the barrier dam according to the deformation state information of the high-level landslide;

[0148] The multi-factor monitoring unit 301 is also used to obtain the adjusted monitoring information of the monitoring device;

[0149] The intelligent analysis and early warning unit 303 is used to determine the early warning level of high-level landslides, debris flows and landslide dams according to the monitoring information and early warning criteria.

[0150] Optionally, the intelligent analysis and early warning unit includes:

[0151] A data processing subunit, for determining the warning states corresponding to the high-level landslide, the debris flow and the barrier dam respectively according to the monitoring data and the warning triggering threshold;

[0152] The early warning linkage subunit is used to determine the high-level landslide early warning level, debris flow early warning level and landslide dam early warning level according to the early warning status corresponding to the high-level landslide, debris flow and landslide dam; and generate corresponding early warning information according to the high-level landslide early warning level, debris flow early warning level and landslide dam early warning level.

[0153] Optionally, the data processing subunit is further used for:

[0154] Determine the combined displacement and acceleration changes of the surface displacement deformation of the high-position landslide according to the monitoring data;

[0155] Determine a warning state corresponding to the high-level landslide according to the combined displacement, the acceleration change, and the high-level landslide warning threshold;

[0156] Determine the movement characteristics and outbreak scale of the debris flow based on the monitoring data;

[0157] Determining a warning state corresponding to the debris flow according to the movement characteristics, the outbreak scale and the debris flow warning threshold of the debris flow;

[0158] Determine the water level change, soil moisture content change and deformation state of the dam according to the monitoring data;

[0159] The warning state corresponding to the landslide dam is determined according to the water level change of the landslide dam, the soil moisture content change, the deformation state, and the landslide dam warning threshold.

[0160] Optionally, the intelligent allocation unit is specifically used for:

[0161] determining deformation characteristics of the high-level landslide according to the initial monitoring information;

[0162] When the deformation characteristics indicate that the high-level landslide is in an unstable and damaged state, first geological information of a debris flow after the high-level landslide becomes unstable and second geological information of a dam formed by the high-level landslide are determined.

[0163] Optionally, the first geological information of the debris flow includes at least one of the following:

[0164] Debris flow channel area;

[0165] Debris flow channel slope;

[0166] Debris flow channel material composition;

[0167] Geological environment information around the debris flow channel.

[0168] Optionally, the second geological information of the barrier dam includes at least one of the following:

[0169] Volume information of the barrier dam;

[0170] The material composition of the barrier dam;

[0171] The geological environment information around the dam.

[0172] The embodiment of the present invention provides a multi-factor monitoring system for a high-level landslide disaster chain, which can perform real-time dynamic monitoring of high-level landslides, debris flows and landslide dams, and can adjust the deployment position of the monitoring equipment of the debris flows and landslide dams in real time according to the deformation state information of the high-level landslides, and determine the warning level of the high-level landslides, debris flows and landslide dams according to the monitoring information and early warning criteria collected by the adjusted monitoring equipment, thereby ensuring the timeliness of subsequent monitoring of debris flows and landslide dams and improving the effectiveness of monitoring and early warning.

[0173] As for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0174] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0175] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0176] The embodiment of the present invention further provides an electronic device, referring to Figure 4 , including: a processor 401, a memory 402, and a computer program 4021 stored in the memory 402 and executable on the processor, wherein when the processor 401 executes the program, the multi-factor monitoring method for the high-level landslide disaster chain of the aforementioned embodiment is implemented.

[0177] The embodiment of the present invention also provides a non-temporary computer-readable storage medium, when the instructions in the storage medium are executed by a processor of a device (server or terminal), the device can execute the above Figure 1 The description of the multi-factor monitoring method of the high-level landslide hazard chain in the corresponding embodiment will not be repeated here. In addition, the description of the beneficial effects of adopting the same method will not be repeated. For the technical details not disclosed in the computer program product or computer program embodiment involved in this application, please refer to the description of the method embodiment of this application.

[0178] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed by the present invention. The description and examples are to be regarded as exemplary only, and the true scope and spirit of the present invention is indicated by the following claims.

[0179] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

[0180] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

[0181] The above is a detailed introduction to the multi-factor monitoring method and system for a high-level landslide hazard chain provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A multi-factor monitoring method for high-level landslide hazard chain, characterized in that: The method comprises: Acquiring initial monitoring information of a monitoring device; the monitoring device is used to monitor at least one geological disaster of a high-level landslide, a debris flow, and a landslide dam; Determining deformation state information of the high-level landslide according to the initial monitoring information; According to the deformation state information of the high-level landslide, the deployment position of monitoring equipment for debris flow and landslide dam is adjusted; Obtaining the adjusted monitoring information of the monitoring device; Determine the warning level of high-level landslides, debris flows and landslide dams based on the monitoring information and warning criteria; According to the high-level landslide early warning criteria of the high-level start-up area, the high-level disaster chain working mode is adjusted in real time; Wherein, the step of determining the deformation state information of the high-level landslide according to the initial monitoring information includes: determining deformation characteristics of the high-level landslide according to the initial monitoring information; When the deformation characteristics indicate that the high-level landslide is in an unstable and damaged state, determining first geological information of a debris flow after the high-level landslide becomes unstable and second geological information of a dam formed by the high-level landslide; Wherein, determining the deformation characteristics of the high-level landslide according to the initial monitoring information includes: Determine the change of landslide according to the deformation and displacement of high-level landslide; The deformation state of the high-level landslide can be determined by comprehensively calculating the displacement change and displacement change acceleration of the high-level landslide within a period of time. The calculation formula for the total displacement change is: In the formula, C xyz is the change in deformation and displacement of the high-level landslide, h′ x , h′ y , v′ z are the displacement values ​​of the high-level landslide in the horizontal X, Y and vertical Z directions at the current moment, h x 、h y 、v z It is the displacement value of the high-level landslide monitoring in the horizontal X, Y and vertical Z directions at the last moment; The deformation rate of the combined displacement of a high-level landslide is the displacement change within a certain period of time (Δt), and the calculation formula is: V xyz =C xyz / Δt The deformation acceleration of the combined displacement of a high-level landslide is the displacement velocity change within a certain period of time, and the calculation formula is: a xyz =ΔV xyz / Δt.

2. The method according to claim 1, characterized in that Determining the warning level of high-level landslides, debris flows and landslide dams according to the monitoring information and warning criteria includes: Determine the warning status corresponding to high-level landslide, debris flow and landslide dam according to monitoring data and warning trigger thresholds; Determining the high-level landslide warning level, the debris flow warning level and the landslide dam warning level according to the warning states corresponding to the high-level landslide, the debris flow and the landslide dam; Corresponding warning information is generated according to the high-level landslide warning level, debris flow warning level and landslide dam warning level.

3. The method according to claim 2, characterized in that The step of determining the warning states corresponding to the high-level landslide, the debris flow and the barrier dam respectively according to the monitoring data and the warning trigger threshold comprises: Determine the combined displacement and acceleration changes of the surface displacement deformation of the high-position landslide according to the monitoring data; Determine a warning state corresponding to the high-level landslide according to the combined displacement, the acceleration change, and the high-level landslide warning threshold; Determine the movement characteristics and outbreak scale of the debris flow based on the monitoring data; Determining a warning state corresponding to the debris flow according to the movement characteristics, the outbreak scale and the debris flow warning threshold of the debris flow; Determine the water level change, soil moisture content change and deformation state of the dam according to the monitoring data; The warning state corresponding to the landslide dam is determined according to the water level change of the landslide dam, the soil moisture content change, the deformation state, and the landslide dam warning threshold.

4. The method according to claim 1, characterized in that: The first geological information of the debris flow includes at least one of the following: Debris flow channel area; Debris flow channel slope; Debris flow channel material composition; Geological environment information around the debris flow channel.

5. The method according to claim 1, characterized in that: The second geological information of the barrier dam includes at least one of the following: Volume information of the barrier dam; The material composition of the barrier dam; The geological environment information around the dam.

6. A multi-factor monitoring system for high-level landslide disaster chains, characterized in that: The system includes: a multi-factor monitoring unit, an intelligent allocation unit and an intelligent analysis and early warning unit; The multi-element monitoring unit is used to obtain initial monitoring information of the monitoring equipment; the monitoring equipment is used to monitor at least one geological disaster among high-level landslide, debris flow and barrier dam; The intelligent deployment unit is used to determine the deformation state information of the high-level landslide according to the initial monitoring information; and adjust the deployment position of the monitoring equipment of the debris flow and the barrier dam according to the deformation state information of the high-level landslide; The multi-factor monitoring unit is further used to obtain the adjusted monitoring information of the monitoring device; An intelligent analysis and early warning unit, used to determine the early warning level of high-level landslides, debris flows and landslide dams according to the monitoring information and early warning criteria; The system is also used to: adjust the high-level disaster chain working mode in real time according to the high-level landslide early warning criterion of the high-level start area; The intelligent allocation unit is specifically used for: determining deformation characteristics of the high-level landslide according to the initial monitoring information; When the deformation characteristics indicate that the high-level landslide is in an unstable and damaged state, determining first geological information of a debris flow after the high-level landslide becomes unstable and second geological information of a dam formed by the high-level landslide; Wherein, determining the deformation characteristics of the high-level landslide according to the initial monitoring information includes: Determine the change of landslide according to the deformation and displacement of high-level landslide; The deformation state of the high-level landslide can be determined by comprehensively calculating the displacement change and displacement change acceleration of the high-level landslide within a period of time. The calculation formula for the total displacement change is: In the formula, C xyz is the change in deformation and displacement of the high-level landslide, h′ x , h′ y , v′ z are the displacement values ​​of the high-level landslide in the horizontal X, Y and vertical Z directions at the current moment, h x 、h y 、v z It is the displacement value of the high-level landslide monitoring in the horizontal X, Y and vertical Z directions at the last moment; The deformation rate of the combined displacement of a high-level landslide is the displacement change within a certain period of time (Δt), and the calculation formula is: V xyz =C xyz / Δt The deformation acceleration of the combined displacement of a high-level landslide is the displacement velocity change within a certain period of time, and the calculation formula is: a xyz =ΔV xyz / Δt.

7. The system according to claim 6, characterized in that The intelligent analysis and early warning unit comprises: A data processing subunit is used to determine the warning status corresponding to the high-level landslide, debris flow and landslide dam according to the monitoring data and the warning trigger threshold; The early warning linkage subunit is used to determine the high-level landslide early warning level, debris flow early warning level and landslide dam early warning level according to the early warning status corresponding to the high-level landslide, debris flow and landslide dam; and generate corresponding early warning information according to the high-level landslide early warning level, debris flow early warning level and landslide dam early warning level.

8. An electronic device, characterized in that: The electronic device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the multi-factor monitoring method for a high-level landslide hazard chain as described in any one of claims 1 to 5 is implemented.

9. A machine-readable storage medium having instructions stored thereon, which, when executed by one or more processors of a device, causes the device to execute the multi-factor monitoring method for a high-level landslide hazard chain as claimed in any one of claims 1 to 5.

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