Slope landslide real-time monitoring and early warning method and system

Abstract

The invention discloses a slope landslide real-time monitoring and early warning method and system. The method comprises the following steps: acquiring landslide displacement data and rainfall data of a target monitoring area; determining a monitoring point according to the landslide displacement data and the rainfall data, and determining an early warning point according to the landslide displacement data and a preset rainfall threshold; an early warning proportion is determined according to the monitoring points and the early warning points, the early warning level of the target monitoring area is determined based on the early warning proportion, and the early warning proportion and the early warning level are in positive correlation; and outputting early warning information corresponding to the early warning level. The invention further provides a real-time monitoring and early warning system for the slope landslide. The system comprises a data acquisition module, a wireless communication module, an upper computer and a power management module. According to the invention, displacement data and rainfall data of an easy landslide area are collected, the data are accurately analyzed and judged to obtain a result, and then personnel are notified to carry out early warning notification, so that passing vehicles are reminded to pay attention to safe driving, and the effects of remote monitoring and timely sending of early warning prompts are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of safety monitoring, and in particular to a real-time monitoring and early warning method and system for slope landslides. Background Art

[0002] With the development of today's society, more and more people use trains, high-speed railways and self-driving as one of the main means of transportation. At the same time, the development of railways plays a vital role in people's production and life, social and even national economic development and tourism development. In the southwest of my country, especially the hilly areas in the southwest, surrounded by mountains, steep mountains, loose soil structure, it is very susceptible to the influence of geology, climate change, and human activities. Landslides and mud-rock flows and other landslide disasters occur frequently, which has a huge impact on people's lives and life safety.

[0003] In recent years, there have been many railway and highway accidents due to failure to detect landslides in time, resulting in train derailments and highway car chain collisions. In the field of highway safety monitoring, slope safety issues have always troubled engineering and technical personnel. Due to the lack of effective monitoring methods, when slope landslides or rockfalls occur, the road is blocked, but it is difficult for vehicles on the highway to detect them. When they are close to being visible to the naked eye, it is too late to stop for avoidance, resulting in traffic accidents.

[0004] After a landslide or rockfall occurs, the occurrence of landslides and rockfalls is monitored immediately, and early warnings are issued within an appropriate distance on both sides of the road. At the same time, they are reported to the traffic management department, which is of practical significance for reducing traffic accidents caused by landslides and rockfalls. Summary of the invention

[0005] In view of the above technical problems in the related art, the present invention provides a real-time monitoring and early warning method and system for slope landslides, which can solve the above problems.

[0006] To achieve the above technical objectives, the technical solution of the present invention is implemented as follows: A real-time monitoring and early warning method for slope landslides comprises the following steps: S100, collecting landslide displacement data and rainfall data in the target monitoring area; S200, determining a monitoring point according to the landslide displacement data and the rainfall data, and determining an early warning point according to the landslide displacement data and a preset rainfall threshold; S300, determining a warning ratio according to the monitoring points and the warning points, and confirming the warning level of the target monitoring area based on the warning ratio, wherein the warning ratio and the warning level are positively correlated; S400: Output warning information corresponding to the warning level.

[0007] Furthermore, step S100 specifically includes: collecting displacement data of the environment of the landslide-prone area by means of a displacement sensor, and collecting rainfall data of the monitoring point by means of a rainfall sensor.

[0008] Furthermore, the collected landslide displacement data is converted into displacement rate by a single chip microcomputer, wherein displacement rate = ΔS / Δt, ΔS represents the displacement of an object in a period of time, and Δt represents the time taken to pass this displacement.

[0009] Furthermore, step S200 specifically includes: establishing a rectangular coordinate system with rainfall as the x-axis and displacement rate as the y-axis; a and displacement rate y a Establish monitoring points (x a ,y a ); Based on the rainfall and displacement rate of the landslide, the critical warning classification line of the landslide is established, and the equation of the line is: ; Taking rainfall of 25mm / d and displacement rate of 20mm / d as the center line of Level III warning, the equation of critical warning line is y=-1.25x+25. Combining the above two linear equations, the coordinate value of a warning point is (x c ,y c )= .

[0010] Furthermore, step S300 specifically includes: calculating the warning point (x c ,y c ) to the origin , calculate the monitoring point (x a ,y a ) to the origin , calculate the warning ratio .

[0011] Furthermore, when λ<0.4, the warning level is Level I; when 0.4≤λ<0.8, the warning level is Level II; when 0.8≤λ<1.2, the warning level is Level III; when 1.2≤λ<1.6, the warning level is Level IV; when λ≥1.6, the warning level is Level V.

[0012] Furthermore, when the warning level is Level I, a green warning is output and the warning information is sent internally; when the warning level is Level II, a blue warning is output and the warning information is sent internally and reported to residents; when the warning level is Level III, a yellow warning is output, the emergency plan is activated, and a disaster warning is issued; when the warning level is Level IV, an orange warning is output and a notice of evacuation of personnel within the organization is issued; when the warning level is Level V, a red warning is output, the emergency plan is activated and the deformation development is closely monitored.

[0013] A real-time monitoring and early warning system for slope landslides, applied to the real-time monitoring and early warning method for slope landslides, comprises: A data acquisition module, used for acquiring landslide displacement data and rainfall data in a target monitoring area, including a displacement sensor module and a rainfall sensor module, wherein the displacement sensor module and the rainfall sensor module respectively include a plurality of displacement sensors and a plurality of rainfall sensors, and the plurality of displacement sensors and the plurality of rainfall sensors are arranged in a target monitoring area prone to landslide; Wireless communication module, wirelessly transmits displacement data and rainfall data to the host computer; The host computer analyzes and judges the data through the data processing module, and then issues alarm notifications and display notifications; The power management module is used to provide power supply guarantee.

[0014] Furthermore, the power management module includes: a solar panel, a solar controller, and a battery, and the solar panel and the battery are electrically connected to the solar controller.

[0015] Beneficial effects of the invention: The present application provides a real-time monitoring and early warning method and system for slope landslides, which collects displacement data and rainfall data in areas prone to landslides, accurately analyzes the data, and notifies personnel of early warning notifications after the results are determined, reminding passing vehicles to drive safely, thereby achieving the effect of remote monitoring and timely issuing early warning prompts, and minimizing the incidence of traffic accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] The present invention is further described in detail below with reference to the accompanying drawings.

[0018] Figure 1 It is a flow chart of a method for real-time monitoring and early warning of slope landslides according to an embodiment of the present application; Figure 2 It is a structural schematic diagram of a real-time monitoring and early warning system for slope landslides shown in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The following will be combined with the accompanying 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 only 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 belong to the scope of protection of the present invention.

[0020] Embodiment 1: like Figure 1 The real-time monitoring and early warning method for slope landslides shown in the figure is applied to the real-time monitoring and early warning system for slope landslides, and comprises the following steps: S1. Collect landslide displacement data and rainfall data in the target monitoring area.

[0021] The displacement sensor collects the displacement data of the environment in the landslide-prone area, and the rainfall sensor collects the rainfall data of the monitoring point. The microcontroller simply processes the collected displacement sensor data and converts it into a displacement rate (displacement rate = ΔS / Δt, where ΔS represents the displacement of an object in a period of time, and Δt represents the time taken to pass this displacement).

[0022] S2, determining monitoring points according to the landslide displacement data and rainfall data, and determining early warning points according to the landslide displacement data and a preset rainfall threshold; The collected data is analyzed and judged through the data processing module. a and displacement rate y a , establish monitoring points (x a ,y a ) and the landslide critical warning classification line. The equation of the straight line passing through the origin is: ; Taking rainfall of 25 mm / d and displacement rate of 20 mm / d as the center line of Level III warning, the critical warning line equation is: ; Combining the above two formulas, we can get the coordinate value of a warning point: (x c ,y c )= .

[0023] S3. Determine the warning ratio based on the monitoring points and warning points, and confirm the warning level of the target monitoring area based on the warning ratio. The warning ratio and warning level are positively correlated.

[0024] Warning point (x c ,y c ) to the origin , monitoring point (x a ,y a ) to the origin , The ratio of the two values ​​is the warning ratio .

[0025] The warning ratio reflects the distance ratio between the monitoring point and the warning point, which is directly related to the urgency of the warning. When the monitoring point is close to the origin, the warning ratio is small, which means that it is far away from the warning point, suggesting that the risk of landslide is relatively low and the warning level may be at a low level. On the contrary, if the warning ratio is large, it means that the monitoring point is close to the warning point, indicating that the risk of landslide may be high and a higher level of warning measures may be required. The warning ratio combined with the rainfall and displacement rate data of the landslide can more objectively reflect the actual changes of the landslide. For example, when the rainfall is large and the displacement rate increases, the warning point is closer to the monitoring point, that is, the warning ratio is larger. In this case, it may be necessary to increase the warning level to take corresponding countermeasures. The warning level determined according to the warning ratio can help monitoring personnel and relevant departments make warning decisions more quickly and accurately to reduce the risks and impacts of landslides. Linking the warning level with the warning information will help to take necessary preventive measures in a timely manner to protect the lives and property of people.

[0026] When λ>1, the monitoring point (x a ,y a ) has fallen to the right side of the critical line, which is now in the landslide warning level III or above area; when λ < 0.8, it is in the landslide warning level III or below area. It is now stipulated that when λ is 0.8-1.2, a yellow warning is issued; when λ is 1.2-1.6, an orange warning is issued; when λ is above 1.6, a red warning is issued; when λ is 0.4-0.8, a blue warning is issued; when λ is below 0.4, a green warning is issued.

[0027] As the deformation of the moving landslide continues to develop, early warning work should be carried out at any time, that is, each time the monitoring (x a ,y a ) There should be a corresponding warning level starting from the origin.

[0028] S4. Output warning information corresponding to the warning level.

[0029] Level I green warning: Starting from the origin, the landslide starts with deformation and rainfall, and λ is below 0.4. At this time, the rainfall and displacement rate are small, and the warning information can only be sent internally, while raising vigilance and paying close attention.

[0030] Level II blue warning: deformation and rainfall are greater than level I, and λ is between 0.4 and 0.8. Although the rainfall and displacement rate have increased, there is still a certain distance from the actual disaster. When the warning information is sent to the internal staff, it should be reported to the owners, and further vigilance should be raised and close attention should be paid.

[0031] Level III Yellow Warning: The rainfall and displacement rate continue to increase, and λ is between 0.8 and 1.2, where λ=1 is the disaster warning line. As the daily rainfall and displacement rate continue to increase, the owner should be notified in time to activate the emergency plan, issue a disaster warning, inform local residents and tourists, announce the possibility of deformation and landslides, and take corresponding measures in time.

[0032] Level IV orange warning: After the yellow warning is issued, the daily rainfall and daily displacement rate are large and develop rapidly, the deformation continues to develop, and the deformation signs are obvious. λ is between 1.2 and 1.6. At this time, the daily rainfall and daily displacement rate are large, and the possibility of landslide instability and damage is greatly increased. The owner should be notified to activate the emergency plan and organize the evacuation of personnel within the scope.

[0033] Level V Red Warning: After the Level IV Orange Warning is issued, the daily rainfall and daily displacement rate continue to increase, and λ develops to above 1.6. Since the daily rainfall and daily displacement rate are large and have lasted for a long time, and are still continuing, there is a great possibility of disasters within the landslide range. On the basis of launching the emergency plan, we should pay close attention to the development of deformation. If the daily displacement rate continues to be large, the possibility of instability of the landslide is very high.

[0034] Disaster warning lifted: When entering Level III or even a higher level warning, if the rainfall and displacement rate begin to decline continuously, the warning level can be lowered according to the warning level. When it drops back to Level II, the disaster warning information can be lifted.

[0035] Embodiment 2: like Figure 2 The real-time monitoring and early warning system for slope landslides shown in the embodiment is applied to the real-time monitoring and early warning method for slope landslides shown in the first embodiment, including: The data acquisition module is used to collect data on slope changes and provide data support for the early warning system. The acquisition module includes: a displacement sensor module and a rainfall sensor module. Each module includes several sensors. The landslide displacement data and rainfall data of the target monitoring area are obtained through the acquisition module. The sensors are deployed in the target monitoring area prone to landslides.

[0036] The wireless communication module transmits the displacement data and rainfall data to the host computer wirelessly. The LoRa communication is used to transmit the data collected by the sensor to the host computer wirelessly. The host computer analyzes and judges the data through the data processing module, and then issues alarm notifications and display notifications.

[0037] LoRa communication uses AS32-TTL wireless module. The AS32-TTL wireless module uses SX1278 chip as the core and LoRa spread spectrum modulation. The AS32-TTL wireless module adopts an efficient cyclic error correction algorithm with high coding efficiency and strong error correction capability, which greatly improves the anti-interference and stability of LoRa communication. The AS32-TTL wireless module supports the 410-441MHz frequency band, with a receiving sensitivity of up to -130dBm, and has fixed-point transmission, data monitoring, transparent transmission and air wake-up functions. When the monitoring point data is relatively stable and normal, the AS32-TTL wireless module will transmit the collected data information back to the host computer within a certain time interval.

[0038] When there is no information transmission task, the AS32-TTL wireless module is in a dormant state, which reduces the LoRa communication frequency and avoids channel congestion when abnormal data from other monitoring points is quickly transmitted back. The air wake-up function of the AS32-TTL wireless module uses a high-precision clock and an intelligent wake-up algorithm, which can wake up quickly and synchronously. While truly achieving ultra-low power consumption, it can also avoid channel congestion, thereby efficiently transmitting the monitoring point data and ensuring the real-time transmission of the data. The microcontroller issues instructions to increase the sampling frequency of the monitoring point, infers the situation of the monitoring point through a large amount of data, and sends the data of the monitoring point to the monitoring personnel through the DTU (4G data transmission) module, so that the monitoring personnel can check the danger in time and avoid the loss of life and property caused by vehicles passing through the dangerous area.

[0039] The host computer analyzes and judges the data through the data processing module, and then issues alarm notifications and display notifications.

[0040] The power management module is used to provide power supply guarantee for each module of the early warning system.

[0041] The power management module includes: a solar panel, a solar controller, and a 12V lead-acid battery. The solar controller is electrically connected to the 12V lead-acid battery and the solar panel respectively, and the 12V lead-acid battery is electrically connected to the microprocessor; the solar panel is used to collect solar energy and convert the solar energy into electrical energy to charge the 12V lead-acid battery; the 12V lead-acid battery is used to store the electrical energy converted by the solar controller; the solar controller is used to determine whether to charge the 12V lead-acid battery according to the preset voltage value of the power supply circuit; when the current voltage value of the 12V lead-acid battery is less than the preset voltage value set by the solar controller, the solar controller charges the 12V lead-acid battery through the solar panel, and when the current voltage value of the 12V lead-acid battery is greater than or equal to the preset voltage value, the solar controller stops charging the 12V lead-acid battery.

[0042] 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.

Claims

1. A real-time monitoring and early warning method for slope landslides, characterized in that: The following steps are involved: S100, collecting landslide displacement data and rainfall data in the target monitoring area; S200, determining a monitoring point according to the landslide displacement data and the rainfall data, and determining an early warning point according to the landslide displacement data and a preset rainfall threshold; S300, determining a warning ratio according to the monitoring points and the warning points, and confirming a warning level of the target monitoring area based on the warning ratio, wherein the warning ratio and the warning level are positively correlated; S400: Output warning information corresponding to the warning level.

2. A method for real-time monitoring and early warning of slope landslide according to claim 1, characterized in that: Step S100 specifically includes: collecting displacement data of the environment of the landslide-prone area by using a displacement sensor, and collecting rainfall data of the monitoring point by using a rainfall sensor.

3. A method for real-time monitoring and early warning of slope landslide according to claim 2, characterized in that: The collected landslide displacement data is converted into displacement rate by the single chip microcomputer, where displacement rate = ΔS / Δt, ΔS represents the displacement of an object in a period of time, and Δt represents the time taken to complete this displacement.

4. A method for real-time monitoring and early warning of slope landslide according to claim 1, characterized in that: Step S200 specifically includes: establishing a rectangular coordinate system with rainfall as the x-axis and displacement rate as the y-axis; a and displacement rate y a Establish monitoring points (x a ,y a ); Based on the rainfall and displacement rate of the landslide, the critical warning classification line of the landslide is established, and the equation of the line is: ; Taking rainfall of 25mm / d and displacement rate of 20mm / d as the center line of Level III warning, the equation of critical warning line is y=-1.25x+25. Combining the above two linear equations, the coordinate value of a warning point is (x c ,y c )= .

5. A method for real-time monitoring and early warning of slope landslide according to claim 1, characterized in that: Step S300 specifically includes: calculating the warning point (x c ,y c ) to the origin , calculate the monitoring point (x a ,y a ) to the origin , calculate the warning ratio .

6. A method for real-time monitoring and early warning of slope landslide according to claim 5, characterized in that: When λ<0.4, the warning level is Level I; when 0.4≤λ<0.8, the warning level is Level II; when 0.8≤λ<1.2, the warning level is Level III; when 1.2≤λ<1.6, the warning level is Level IV; when λ≥1.6, the warning level is Level V.

7. A method for real-time monitoring and early warning of slope landslide according to claim 6, characterized in that: When the warning level is level I, a green warning is output and the warning information is sent internally; when the warning level is level II, a blue warning is output and the warning information is sent internally and reported to residents; when the warning level is level III, a yellow warning is output, the emergency plan is activated, and a disaster warning is issued; When the warning level is Level IV, an orange warning is output and a notice of evacuation of personnel within the distribution organization is issued; when the warning level is Level V, a red warning is output, the emergency plan is activated and the deformation development is closely monitored.

8. A real-time monitoring and early warning system for slope landslides, characterized in that: The method for real-time monitoring and early warning of slope landslides as claimed in any one of claims 1 to 7 comprises: A data acquisition module, used for acquiring landslide displacement data and rainfall data in a target monitoring area, including a displacement sensor module and a rainfall sensor module, wherein the displacement sensor module and the rainfall sensor module respectively include a plurality of displacement sensors and a plurality of rainfall sensors, and the plurality of displacement sensors and the plurality of rainfall sensors are arranged in a target monitoring area prone to landslide; Wireless communication module, wirelessly transmits displacement data and rainfall data to the host computer; The host computer analyzes and judges the data through the data processing module, and then issues alarm notifications and display notifications; The power management module is used to provide power supply guarantee.

9. A real-time monitoring and early warning system for slope landslide according to claim 8, characterized in that: The power management module includes: a solar panel, a solar controller, and a battery. The solar panel and the battery are electrically connected to the solar controller.

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