Early warning and protection method for geological disaster landslide

Abstract

A geological disaster landslide early warning and protection method disclosed by the present invention comprises a landslide early warning system, the landslide early warning system comprises a monitoring module, a data acquisition end and a landslide early warning end, and the monitoring module comprises a pore water pressure sensor, a surface displacement sensor, a moisture content sensor, a rainfall sensor and an infrasonic wave sensor. Each of the data acquisition end and the landslide early warning end comprises an STM32F103 microprocessor, a wireless radio frequency, an SWD, a storage module, a power supply, a clock, a reset and a pulse interface, and the data acquisition end is connected with the landslide early warning end through the wireless radio frequency. And monitoring data is transmitted through wireless radio frequency and is remotely transmitted to an early warning command control center in a GPRS (General Packet Radio Service) mode, so that the cost is low and the advantages are obvious.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disaster monitoring, and particularly relates to a method for early warning and prevention of geological disaster landslides on mountain slopes. Background Art

[0002] In the current landslide monitoring and early warning system, the collection of factor parameters affected by the geological disaster landslide body is relatively single, and it is also very difficult to lay wires under harsh natural conditions in the wild. There are problems such as high cost in the layout and installation of the landslide body remote monitoring and early warning system, and information transmission delay in long-distance wiring, which cannot comprehensively and accurately reflect the state of the mountain slope; the early warning model is not precise and intelligent enough, and it is difficult to adapt to complex and changeable geological conditions and environmental factors, resulting in poor timeliness and accuracy of early warning, and unable to provide strong support for disaster prevention and reduction. Therefore, a method for early warning and prevention of geological disaster landslides on mountain slopes is provided to solve the above problems. Summary of the Invention

[0003] The present invention aims to provide a method for early warning and prevention of geological disaster landslides on mountain slopes. Through multi-dimensional monitoring, intelligent analysis and precise early warning, the reliability and timeliness of landslide early warning are effectively improved, and the disaster losses are minimized. The technical solution adopted by the present invention to solve the technical problems is as follows: A method for early warning and prevention of geological disaster landslides on mountain slopes, including a landslide early warning system. The landslide early warning system includes: a monitoring module, a data acquisition terminal and a landslide early warning terminal. The monitoring module includes a pore water pressure sensor, a surface displacement sensor, a moisture content sensor, a rain sensor, and a infrasonic wave sensor. Both the data acquisition terminal and the landslide early warning terminal include an STM32F103 microprocessor, a radio frequency, an SWD, a storage module, a power supply, a clock, a reset, and a pulse interface. The data acquisition terminal and the landslide early warning terminal are connected by radio frequency.

[0004] As a preferred technical solution of the present invention, the data acquisition terminal further includes an AD interface, an RS232 interface, and an RS485 interface. The AD interface, the RS232 interface, the RS485, the radio frequency, the SWD, the storage module, the power supply, the clock, the reset, and the pulse interface are all connected to the STM32F103 microprocessor.

[0005] As a preferred technical solution of the present invention, the data acquisition terminal is connected to the pore water pressure sensor through the AD interface, the data acquisition terminal is connected to the surface displacement sensor through the RS232 interface, the data acquisition terminal is respectively connected to the moisture content sensor and the infrasonic wave sensor through the RS485 interface, and the data acquisition terminal is connected to the rain sensor through the pulse interface.

[0006] As a preferred technical solution of the present invention, the landslide warning terminal further includes a touch screen module and a GPRC module. The landslide warning terminal is connected to the alarm module through a pulse interface. The touch screen module and the GPRC module are both connected to the STM32F103 microprocessor, and the GPRS model is SIM300.

[0007] As a preferred technical solution of the present invention, the touch screen module is used to query the parameter information of the current landslide disaster in real time and display the parameters that exceed the set thresholds of each parameter. The GPRS module is responsible for the remote communication between the on-site terminal and the central station. The alarm module controls the start and stop of the alarm warning through the sent control instructions.

[0008] As a preferred technical solution of the present invention, the radio frequency is used to ensure the reliable transmission of data between the data acquisition terminal and the landslide warning terminal. The moisture content sensor is used to penetrate different soil layers of the mountain body to monitor the dynamic changes of soil moisture content. An increase in moisture content is often an important inducement for landslides.

[0009] As a preferred technical solution of the present invention, the surface displacement sensor is used to monitor the displacement changes of the mountain surface and different depths inside the mountain body at different positions of the mountain body. The rain gauge sensor is used to monitor the rainfall meteorological parameters. Meteorological factors are closely related to the occurrence of landslides.

[0010] As a preferred technical solution of the present invention, the infrasound sensor is used to monitor the acoustic wave changes inside the mountain soil. The pore water pressure sensor is used to monitor the water pressure in the pores of the mountain soil. Whether the pressure is too high or too low is used to judge the changes of the mountain body.

[0011] As a preferred technical solution of the present invention, the warning threshold parameters are to set scientific and reasonable warning thresholds for different monitoring parameters according to historical data, geological conditions and expert experience. When the monitoring data exceeds the corresponding threshold, the warning mechanism is triggered, and the warning mechanism is divided into blue warning, yellow warning and red warning.

[0012] A method for warning and protecting geological disaster landslides includes the following steps:

[0013] Step 1: Arrange high-precision displacement sensors at different positions of the mountain body, and reasonably determine the installation positions of the pore water pressure sensor, surface displacement sensor, moisture content sensor, rain gauge sensor, and infrasound sensor according to the topography, geological conditions and historical landslide conditions of the mountain body;

[0014] Step 2: Use pore water pressure sensors, surface displacement sensors, water content sensors, rainfall sensors, and infrasound sensors to monitor in real time whether the data exceeds the threshold. When it exceeds, send an alarm instruction via radio frequency and configure a radio frequency data packet to send to the landslide warning terminal. The landslide warning terminal converts the received data into a GPRS data packet and sends it to the monitoring and control center;

[0015] Step 3: The monitoring and control center conveys the warning information to surrounding residents, relevant departments, and emergency rescue personnel in a timely and accurate manner through multiple channels such as text messages, broadcasts, sirens, and mobile phone APPs. At the same time, the control center uses big data analysis technology and machine learning algorithms to deeply analyze the processed data. By establishing multiple linear regression models, neural network models, etc., it explores the internal relationships and changing laws among various monitoring parameters and constructs an accurate landslide risk assessment model;

[0016] Step 4: After the warning release module issues a warning message, relevant departments and personnel respond quickly. In the case of a blue warning, strengthen the inspection and monitoring frequency of the mountain body. In the case of a yellow warning, organize personnel to conduct a search of dangerous areas and make preparations for the transfer of people and property. In the case of a red warning, immediately initiate the personnel evacuation procedure to ensure the safety of the lives of the people.

[0017] The present invention has the following advantages: The geological disaster landslide monitoring and warning system of the present invention conducts real-time monitoring through multiple monitoring points on the mountain body, transmits the monitoring data via radio frequency, and performs long-distance transmission through the GPRS method to the warning command and control center. The cost is low and the advantages are obvious;

[0018] By screening disaster-causing factors and training historical data, it can quickly and accurately judge the landslide risk level and issue warning information in a timely manner, greatly improving the timeliness and accuracy of the warning. The warning information is released through multiple channels to ensure that surrounding residents and relevant departments can obtain the warning in the first time and take effective disaster prevention and mitigation measures to minimize casualties and property losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a schematic diagram of the landslide warning system of the preferred embodiment of the present invention;

[0020] Figure 2 is a schematic diagram of the landslide warning principle of the preferred embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0022] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] Please refer to Figure 1 and Figure 2 A geological disaster landslide early warning and protection method of the present invention includes a landslide early warning system. The landslide early warning system includes: a monitoring module, a data acquisition terminal, and a landslide early warning terminal. The monitoring module includes a pore water pressure sensor, a surface displacement sensor, a moisture content sensor, a rain sensor, and a infrasound sensor. Both the data acquisition terminal and the landslide early warning terminal include an STM32F103 microprocessor, a radio frequency, an SWD, a storage module, a power supply, a clock, a reset, and a pulse interface. The data acquisition terminal and the landslide early warning terminal are connected through a radio frequency (CC1101).

[0024] Among them, the data acquisition terminal further includes an AD interface, an RS232 interface, and an RS485 interface. The AD interface, the RS232 interface, the RS485, the radio frequency, the SWD, the storage module, the power supply, the clock, the reset, and the pulse interface are all connected to the STM32F103 microprocessor. The data acquisition terminal is connected to the pore water pressure sensor through the AD interface, the data acquisition terminal is connected to the surface displacement sensor through the RS232 interface, the data acquisition terminal is respectively connected to the moisture content sensor and the infrasound sensor through the RS485 interface, the data acquisition terminal is connected to the rain sensor through the pulse interface. The landslide early warning terminal further includes a touch screen module and a GPRC module. The landslide early warning terminal is connected to the alarm module through the pulse interface. Both the touch screen module and the GPRC module are connected to the STM32F103 microprocessor. The GPRS model is SIM300. The touch screen module is used to query the parameter information of the current landslide disaster in real time and display the parameters exceeding the set thresholds of each parameter. The GPRS module is responsible for the remote communication between the field end and the central station. The alarm module controls the start and stop of the alarm warning through the sent control instructions. By monitoring the mountain state from multiple dimensions through the monitoring module, rich and comprehensive data information is obtained, providing a solid foundation for accurately assessing the risk of landslides.

[0025] Among them, radio frequency is used to ensure the reliable transmission of data between the data acquisition end and the landslide warning end. The moisture content sensor is used to penetrate different soil layers of the mountain body to monitor the dynamic changes of soil moisture content. An increase in moisture content is often an important inducement for landslides. The surface displacement sensor is used to monitor the displacement changes on the surface and at different depths inside the mountain body at different positions of the mountain body. The rainfall sensor is used to monitor rainfall meteorological parameters. Meteorological factors are closely related to the occurrence of landslides. The infrasound sensor is used to monitor the acoustic wave changes inside the mountain soil. The pore water pressure sensor is used to monitor the water pressure in the pores of the mountain soil. Whether the pressure is too high or too low is used to judge the changes of the mountain body. The warning threshold parameters are set scientifically and reasonably for different monitoring parameters according to historical data, geological conditions and expert experience. When the monitored data exceeds the corresponding threshold, the warning mechanism is triggered, and the warning mechanism is divided into blue warning, yellow warning and red warning. Among them, the blue warning (low risk, landslide may occur, need to pay close attention), the yellow warning (medium risk, high possibility of landslide, make disaster prevention preparations), the red warning (high risk, landslide is about to occur, immediately organize personnel to evacuate).

[0026] Combined with Figure 2 shown, a protection method for geological disaster mountain landslide warning includes the following steps:

[0027] Step 1: Arrange high-precision displacement sensors at different positions of the mountain body. According to the topography, geological conditions and historical landslide situations of the mountain body, reasonably determine the installation positions of the pore water pressure sensor, surface displacement sensor, moisture content sensor, rainfall sensor and infrasound sensor. For example, densely arrange monitoring points at key parts such as landslide-prone areas, cracks and gully areas of the mountain body to ensure that the changes of the mountain body can be comprehensively and accurately monitored;

[0028] Step 2: Monitor whether the real-time monitoring data of the pore water pressure sensor, surface displacement sensor, moisture content sensor, rainfall sensor and infrasound sensor exceeds the threshold. When it exceeds, send an alarm instruction through radio frequency and configure a radio frequency data packet to send to the landslide warning end. The landslide warning end converts the received data into a GPRS data packet and sends it to the monitoring and control center;

[0029] Step 3: The monitoring and control center conveys the warning information to surrounding residents, relevant departments and emergency rescue personnel in a timely and accurate manner through multiple channels such as text messages, broadcasts, sirens and mobile phone APPs. At the same time, the control center uses big data analysis technology and machine learning algorithms to deeply analyze the processed data. By establishing multiple linear regression models, neural network models, etc., it excavates the internal relationships and change rules among various monitoring parameters and constructs an accurate mountain landslide risk assessment model;

[0030] Step 4: After the early warning release module issues an early warning message, relevant departments and personnel respond promptly. In the case of a blue early warning, increase the inspection and monitoring frequency of the mountain body. In the case of a yellow early warning, organize personnel to conduct a search of the dangerous area and make preparations for the transfer of people and property. In the case of a red early warning, immediately initiate the personnel evacuation procedure to ensure the safety of the people's lives.

[0031] The above shows and describes the basic principles, main features and advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic features of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

[0032] Other parts not described in detail in the present invention belong to the prior art, so they will not be elaborated here.

[0033] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A geological disaster landslide early warning and protection method, characterized in that: It includes a landslide early warning system, which includes: a monitoring module, a data acquisition terminal and a landslide early warning terminal. The monitoring module includes a pore water pressure sensor, a surface displacement sensor, a water content sensor, a rainfall sensor, and an infrasound sensor. The data acquisition terminal and the landslide early warning terminal both include an STM32F103 microprocessor, a wireless radio frequency, SWD, a storage module, a power supply, a clock, a reset, and a pulse interface. The data acquisition terminal and the landslide early warning terminal are connected via a wireless radio frequency.

2. A geological disaster landslide early warning and protection method as claimed in claim 1, characterized in that: The data acquisition end also includes an AD interface, an RS232 interface, and an RS485 interface. The AD interface, RS232 interface, RS485, wireless radio frequency, SWD, storage module, power supply, clock, reset, and pulse interface are all connected to the STM32F103 microprocessor.

3. A geological disaster landslide early warning and protection method as claimed in claim 1, characterized in that: The data acquisition end is connected to the pore water pressure sensor through the AD interface, the data acquisition end is connected to the surface displacement sensor through the RS232 interface, the data acquisition end is respectively connected to the water content sensor and the infrasonic sensor through the RS485 interface, and the data acquisition end is connected to the rainfall sensor through the pulse interface.

4. A geological disaster landslide early warning and protection method as claimed in claim 1, characterized in that: The landslide warning terminal also includes a touch screen module and a GPRC module. The landslide warning terminal is connected to the alarm module via a pulse interface. The touch screen module and the GPRC module are both connected to a STM32F103 microprocessor. The GPRS model is SIM300.

5. A geological disaster landslide early warning and protection method as claimed in claim 4, characterized in that: The touch screen module is used to query the parameter information of the current landslide disaster in real time and display the parameters that exceed the set threshold of each parameter. The GPRS module is responsible for remote communication between the field end and the central station. The alarm module controls the start and stop of the alarm warning by sending control instructions.

6. A geological disaster landslide early warning and protection method as claimed in claim 1, characterized in that: The wireless radio frequency is used to ensure the reliability of data transmission between the data collection end and the landslide warning end. The moisture content sensor is used to penetrate into different soil layers of the mountain to monitor the dynamic changes of soil moisture content. Increased moisture content is often an important cause of landslides.

7. A geological disaster landslide early warning and protection method as claimed in claim 1, characterized in that: The surface displacement sensor is used to monitor the displacement changes of the mountain surface and different depths inside the mountain in real time at different locations of the mountain. The rainfall sensor is used to monitor the meteorological parameters of rainfall. Meteorological factors are closely related to the occurrence of landslides.

8. A geological disaster landslide early warning and protection method as claimed in claim 1, characterized in that: The infrasonic sensor is used to monitor the sound wave changes inside the mountain soil, and the pore water pressure sensor is used to monitor the water pressure in the pores of the mountain soil. If the pressure is too high or too low, it can be judged that the mountain has changed.

9. A geological disaster landslide early warning and protection method as claimed in claim 5, characterized in that: The warning threshold parameters are scientifically and reasonably set for different monitoring parameters based on historical data, geological conditions and expert experience. When the monitoring data exceeds the corresponding threshold, the warning mechanism is triggered, and the warning mechanism is divided into blue warning, yellow warning and red warning.

10. A geological disaster landslide early warning and protection method according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Arrange high-precision displacement sensors at different locations on the mountain. According to the topography, geological conditions and historical landslides of the mountain, reasonably determine the installation locations of pore water pressure sensors, surface displacement sensors, water content sensors, rainfall sensors and infrasound sensors. Step 2: Use pore water pressure sensors, surface displacement sensors, water content sensors, rainfall sensors, and infrasound sensors to monitor whether the data exceeds the threshold in real time. If it exceeds the threshold, send an alarm command via wireless radio frequency and configure a wireless radio frequency data packet to send to the landslide early warning terminal. The landslide early warning terminal converts the received data into a GPRS data packet and sends it to the monitoring control center. Step 3: The monitoring and control center uses SMS, broadcast, alarm, and mobile phone APP to push warning information to surrounding residents, relevant departments, and emergency rescue personnel in a timely and accurate manner. At the same time, the control center uses big data analysis technology and machine learning algorithms to conduct in-depth analysis of the processed data. By establishing multiple linear regression models and neural network models, the inherent connections and change patterns between the monitoring parameters are explored to build an accurate landslide risk assessment model. Step 4: When the warning release module issues a warning message, relevant departments and personnel respond quickly. When a blue warning is issued, the inspection and monitoring frequency of the mountain will be strengthened. When a yellow warning is issued, personnel will be organized to check the dangerous area and prepare for the transfer of personnel and property. When a red warning is issued, the personnel evacuation procedure will be immediately initiated to ensure the safety of people's lives.

Images