CN115273403A - Landslide monitoring and early warning method and system - Google Patents
Landslide monitoring and early warning method and system Download PDFInfo
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Abstract
The application relates to the field of geological disaster prevention and control technology, in particular to a landslide monitoring and early warning method and a landslide monitoring and early warning system, wherein the landslide monitoring and early warning method comprises the following steps: acquiring a soil slope image, storing and generating a basic image; recognizing a boundary line of a target soil slope in a basic image, dividing the basic image into a plurality of recognition areas, recognizing and marking reference objects at different positions in each recognition area, and generating a reference object; acquiring a comparison image, identifying a reference object in the comparison image, and generating displacement comparison information; and judging whether the position of the reference object in the comparison image is consistent with the position of the reference object in the basic image or not according to the displacement comparison information, if not, judging whether the movement quantity of the reference object in the comparison image exceeds a set movement quantity threshold or not, and if so, generating landslide early warning information. The method and the device have the effect of reducing probability of landslide early warning and false alarm.
Description
Technical Field
The application relates to the field of geological disaster prevention and control technology, in particular to a landslide monitoring and early warning method and system.
Background
Along with the development of national city construction in recent years, excessive grazing, deforestation all cause certain destruction to the nature, the heavy rain in summer increases, and after atmospheric precipitation got into the earth's surface, soil body side slope weakening action aggravated, has reduced slope body structural strength, and the water content increases and makes shear strength reduce, causes the landslide probability to increase greatly, leads to people's property or life safety to receive serious threat, and it is indispensable consequently to carry out effectual monitoring and landslide early warning to the soil body side slope.
In the related technology, a landslide monitoring and early warning system is disclosed, which mainly comprises a displacement sensor, a pore water pressure gauge, a data transceiver and the like, wherein the realization mechanism is that the displacement sensor and the pore water pressure gauge are embedded in a side slope soil body, the data transceiver collects monitoring data of the displacement sensor and the pore water pressure gauge and sends the monitoring data to a cloud platform, before the side slope soil body generates a landslide, when the displacement sensor detects movement of the soil body or the pore water pressure gauge detects abnormal pore water pressure in the side slope soil body, the cloud platform analyzes landslide probability according to the data sent by the data transceiver, and if the landslide probability is greater than a set threshold value, the cloud platform sends landslide early warning information, so that the landslide early warning function is realized.
Aiming at the related technologies, the inventor thinks that part of organisms can move in the soil body of the side slope, so that the position of a displacement sensor or a pore water pressure gauge in the soil body side slope is easy to move, the data is abnormal, and the probability of landslide early warning and false alarm is greatly increased.
Disclosure of Invention
In order to reduce the probability of false landslide warning, the application provides a landslide monitoring and warning method and a landslide monitoring and warning system.
In a first aspect, the landslide monitoring and early warning method provided by the application adopts the following technical scheme:
a landslide monitoring and early warning method comprises the following steps:
acquiring soil slope images, storing and generating basic images; recognizing a boundary line of a target soil slope in the basic image, dividing the basic image into a plurality of recognition areas, recognizing and marking reference objects at different positions in each recognition area, and generating a reference object;
acquiring a comparison image, identifying the reference object in the comparison image, and generating displacement comparison information;
and judging whether the position of the reference object in the comparison image is consistent with the position of the reference object in the basic image or not according to the displacement comparison information, judging whether the movement quantity of the reference object in the comparison image exceeds a set movement quantity threshold or not when the position of the reference object in the comparison image is inconsistent with the position of the reference object in the basic image, and generating landslide warning information when the movement quantity of the reference object in the comparison image exceeds the set movement quantity threshold.
By adopting the technical scheme, the cloud platform acquires the soil slope image through the shooting equipment, stores and generates the basic image, divides the basic image into a plurality of identification areas, identifies each identification area and marks reference objects at different positions. Subsequently, the cloud platform acquires a contrast image through the shooting equipment, identifies a reference object in the contrast image to generate displacement contrast information, generates the displacement contrast information, and judges the position and the movement quantity of the reference object in the contrast picture by taking the reference object in the basic image as a reference according to the displacement contrast information. The landslide monitoring and early warning method has the advantages that the standard reference substances at different positions in the basic image and the comparison image are identified and compared, the landslide trend of the target soil body side slope is analyzed, the non-contact landslide monitoring and early warning effect is achieved, the method that devices such as sensors need to be pre-buried in the soil body side slope in advance is reduced, the problem that the sensors move in the soil body side slope due to the fact that part of organisms can move in the side slope soil body is solved, the landslide early warning and monitoring efficiency is improved, meanwhile, the fault tolerance rate of landslide early warning misinformation is improved by means of the quantity advantage of the standard reference substances, the landslide early warning and forecasting problem caused by the fact that the positions of part of the standard reference substances move due to the biological activity is improved, and the probability of landslide early warning and misinformation is reduced.
Optionally, acquiring rainfall information, judging whether the target soil slope is in a rainfall area, and acquiring real-time rainfall when the target soil slope is in the rainfall area;
judging whether the real-time rainfall exceeds a set rainfall threshold or not according to the real-time rainfall;
when the real-time rainfall exceeds a set rainfall threshold value, generating landslide early warning information;
and when the real-time rainfall does not exceed the set rainfall threshold, generating and acquiring continuous contrast image information.
By adopting the technical scheme, as rainfall is also one of important factors influencing landslide, the cloud platform acquires rainfall and real-time rainfall at the position of the target soil slope in real time through the external weather forecast platform, and analyzes the probability of landslide by acquiring rainfall information in real time. If the real-time rainfall is larger than the set rainfall threshold, it is indicated that strong rainfall possibly exists in the target soil body slope position area, landslide risks exist, and the cloud platform generates landslide early warning information. If the real-time rainfall is smaller than the set rainfall threshold value, it is indicated that the target soil slope position area is only light rain or gusty rain, the cloud platform generates and obtains continuous comparison image information, the cloud platform monitors the target soil slope in real time and constantly pays attention to the state of the soil slope, and once the cloud platform finds that the reference substance in the comparison image is abnormal, it is indicated that the target soil slope has a landslide trend, and landslide early warning information is generated in time. By judging whether the position area of the target soil body side slope is a rainfall area or not and whether the real-time rainfall exceeds a set rainfall threshold or not, whether the target soil body side slope has a landslide trend or not is judged in time, and when the target soil body side slope has the landslide trend, judgment of a reference object is skipped in time, so that landslide early warning efficiency is improved.
Optionally, when the target soil body slope is not in a rainfall area, the interval contrast image information is generated and acquired.
By adopting the technical scheme, the cloud platform changes the shooting mode of the shooting equipment according to the rainfall condition of the target soil slope position area, the problem that the shooting equipment is always in a continuous working state no matter in rainy or no rainy condition is solved, the risk of heating and damage of the shooting equipment due to continuous working is reduced, and the service life of the shooting equipment is prolonged.
Optionally, when the movement number of the reference object in the comparison image does not exceed a set threshold, generating a detection instruction;
receiving and responding to the investigation instruction based on the unmanned aerial vehicle terminal, and carrying out real-time video recording on the target soil slope to generate investigation video information;
based on a display terminal, receiving the investigation video information and displaying a real-time video;
and generating a command whether to issue the landslide early warning information bullet frame or not according to the detection command, and generating the landslide early warning information when the landslide early warning information is confirmed to be issued.
By adopting the technical scheme, when the cloud platform monitors that the movement quantity of the reference object does not exceed the set threshold value, the cloud platform indicates that the abnormal condition exists in part of the identification areas, and generates a detection instruction and issues a landslide early warning information frame popping instruction. The unmanned aerial vehicle terminal receives and responds to the investigation instruction, and the unmanned aerial vehicle terminal flies to target soil body side slope position and carries out real-time video recording and generate investigation video recording information, and display terminal receives investigation video recording information and shows real-time video recording. The working personnel observe the real-time video to observe whether the target soil slope position area has the sign of human activity or animal activity, confirm whether the movement of the reference object is caused by human activity or animal activity again, and confirm to issue landslide early warning information after the staff does not find the sign of human activity or animal activity. Through on-site confirmation of the unmanned aerial vehicle terminal, the reference object position moving state is confirmed again, so that the abnormal situation of the target soil slope is further accurately judged, the problem of missed-report or false-report landslide early warning of a cloud platform is solved, and the landslide early warning accuracy is improved.
Optionally, when releasing landslide warning information is cancelled, the soil slope image is obtained again to update the base image and the reference object.
By adopting the technical scheme, the staff can confirm that the movement of the reference object in the comparison image is caused by human activities or animal activities by observing the real-time video, cancel the release of landslide early warning information, and re-acquire the base image so as to update the base image and the reference object, thereby carrying out the monitoring and landslide early warning of the target soil slope of the next round and realizing the effect that the base image can be timely updated due to the movement of the reference object caused by external factors.
Optionally, the investigation instruction includes identification area position information and a patrol track route, and the identification area position information is an identification area position where the position of the reference object in the comparison image is inconsistent with the position of the reference object in the base image; the patrol track route is a flight route which is executed after the automatic real-time video recording time is reached and surrounds a target soil slope.
Through adopting above-mentioned technical scheme, the introduction of discernment positional information, make unmanned aerial vehicle terminal can fly to the top that the benchmark reference object has unusual identification area fast, there is unusual identification area to the benchmark reference object and carry out the quick shooting, simultaneously after arriving automatic real-time video recording time, unmanned aerial vehicle terminal encircles the flight to target soil body side slope, carry out the video recording around the target soil body side slope, be convenient for the staff through the long-range circumstances around the target soil body side slope of observing of display terminal, so that when the benchmark reference object in the follow-up identification area appears the abnormal condition, the staff can know in advance whether the benchmark reference object that leads to is artificial activity or animal activity removes.
In a second aspect, the landslide monitoring and early warning system provided by the application is applied to the landslide monitoring and early warning method, and adopts the following technical scheme:
a landslide monitoring and early warning system comprises a plurality of shooting terminals for shooting soil slopes, a mounting frame for mounting the shooting terminals and an adaptive adjusting device for adjusting the shooting positions of the shooting terminals; a shooting distance is reserved between the mounting rack and the soil slope; the mounting frame is provided with a gyroscope used for monitoring the offset of the mounting frame in a three-dimensional space, the mounting frame is provided with a control terminal used for receiving monitoring data of the gyroscope and starting the adaptive adjusting device according to the monitoring data; the shooting terminal, the adaptation adjusting device and the gyroscope are electrically connected to the control terminal.
By adopting the technical scheme, when the landslide monitoring and early warning system is deployed, the mounting frame is mounted at the position of a predetermined distance away from the soil slope, and the target soil slope can be monitored and early warned by using the plurality of shooting terminals. When the position of the installation frame deviates due to geological activity, artificial activity or biological activity and the like, the deviation amount of the installation frame in a three-dimensional space is detected in time through the control terminal and the gyroscope, the control terminal starts the adaptive adjusting device according to monitoring data acquired by the control terminal from the gyroscope, the adaptive adjusting device adjusts the shooting position of the shooting terminal, the shooting terminal is located at the set shooting position for a long time, and the risk of false reporting of the landslide monitoring and early warning system due to deviation of the installation frame is reduced.
Optionally, the adaptive adjusting device includes a base and a plurality of electric push rods, and the base is used for being connected and fixed with the ground; the electric push rods are connected to the bottom of the base; the output end ball of the electric push rod is hinged to the mounting frame; the control terminal is used for controlling the strokes of the electric push rods.
Through adopting above-mentioned technical scheme, when geological activity, artificial activity or biological activity etc. cause the skew of mounting bracket position, through control terminal and gyroscope, in time detect the offset of mounting bracket in three-dimensional space, according to the monitoring data that control terminal obtained from the gyroscope, control terminal starts many electric putter's stroke, utilize the different strokes of many electric putter, make the upset of the relative base equidirectional of mounting bracket, thereby make mounting bracket and ground be in fixed angle for a long time, and then make the shooting terminal of installing in the mounting bracket be in the shooting position department of settlement for a long time. Through the collocation of many electric putter and mounting bracket for a plurality of shooting terminals can shoot the regulation of position simultaneously, improve a plurality of shooting terminal position control's efficiency, further reduce the risk that leads to landslide monitoring early warning system false alarm because of the mounting bracket skew.
Optionally, a corrugated pipe is arranged on the side wall of the base, and the corrugated pipe and the movable rod are coaxially arranged; the inner side wall of one end of the corrugated pipe is connected to the side wall of the base, and the inner side wall of the other end of the corrugated pipe is connected to the peripheral side wall of the movable rod; and the electric push rods are positioned in the inner cavity of the corrugated pipe.
By adopting the technical scheme and the introduction of the corrugated pipe, the plurality of electric push rods are surrounded by the corrugated pipe, the risk that the electric push rods are damaged by external rainwater or dust is reduced, the service life of the electric push rods is prolonged, and the service life of the adaptive adjusting device is prolonged.
Optionally, the movable rod is far away from one end of the base is obliquely provided with a solar panel, and the solar panel is electrically connected to the control terminal.
By adopting the technical scheme, required electric quantity is timely provided for the landslide monitoring and early warning system through the solar panel in a remote area, the effect of emergency deployment of the landslide monitoring and early warning system is realized, and the adaptability and the rapid deployment capability of the landslide monitoring and early warning system in an emergency state are improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the landslide monitoring and early warning method comprises the steps that the reference references at different positions in a basic image and a comparison image are identified and compared, the landslide trend of a target soil body side slope is analyzed, the non-contact landslide monitoring and early warning effect is achieved, the method that devices such as sensors need to be pre-buried in the soil body side slope in advance is reduced, the problem that the sensors move in the soil body side slope due to the fact that part of organisms move in the soil body side slope is solved, landslide early warning and monitoring efficiency is improved, meanwhile, the fault tolerance rate of landslide early warning misinformation is improved by means of the number advantage of the reference references, the landslide early warning and early warning problem forecasting caused by the fact that part of the reference references move in position due to biological activity is improved, and the probability of landslide early warning and false alarm is reduced;
2. through on-site confirmation of the unmanned aerial vehicle terminal, the position moving state of the reference object is confirmed again, so that the abnormal situation of the target soil slope is further accurately judged, the problem of missed report or false report of landslide early warning of a cloud platform is solved, and the accuracy of landslide early warning is improved;
3. through control terminal and gyroscope, in time detect the offset of installing the frame in three-dimensional space, according to the monitoring data that control terminal obtained from the gyroscope, control terminal starts adaptation adjusting device, and adaptation adjusting device adjusts the shooting position of shooting terminal, makes the shooting terminal be in the shooting position department of setting for a long time, reduces the risk that leads to landslide monitoring early warning system to report by mistake because of the mounting bracket skew.
Drawings
Fig. 1 is a schematic diagram for illustrating the working state of a landslide monitoring and early warning system.
Fig. 2 is a schematic diagram for showing an overall structure of a landslide monitoring and early warning system.
Fig. 3 is a schematic diagram illustrating a state that an adaptive adjusting device of the landslide monitoring and early warning system adjusts the shooting position of a shooting terminal.
Fig. 4 is a flow chart showing steps of a landslide monitoring and warning method.
Fig. 5 is a flowchart illustrating a step of determining whether a target soil slope is in a rainfall region by a cloud platform for displaying a landslide monitoring and early warning method.
Fig. 6 is a flowchart illustrating steps of a cloud platform for displaying a landslide monitoring and warning method when the moving number of the reference object in the comparison image does not exceed a set moving number threshold.
Description of reference numerals: 1. shooting a terminal; 2. a mounting frame; 3. an adaptation adjusting device; 31. a base; 32. an electric push rod; 4. a gyroscope; 5. a control terminal; 6. a solar panel; 7. a bellows.
Detailed Description
The present application is described in further detail below with reference to figures 1-6.
The embodiment of the application discloses a landslide monitoring and early warning system for monitoring and early warning landslide of a soil slope.
Referring to fig. 1, a landslide monitoring and early warning system includes a plurality of shooting terminals 1 for shooting a soil slope, an installation frame 2 for bolt connection of the shooting terminals 1, and an adaptive adjusting device 3 for adjusting the shooting position of the shooting terminals 1, wherein the shooting terminals 1 may be monitoring cameras, etc. A shooting distance is reserved between the mounting frame 2 and the soil slope, so that the shooting and video recording of different positions of the soil slope can be conveniently carried out by the shooting terminals 1. After the mounting frame 2 is fixed at the distance position, which is determined in advance, between the ground and the soil slope, the position of the mounting frame 2 is adjusted in time through the adaptive adjusting device 3 when the mounting frame is subjected to deviation caused by geological activity, artificial activity or biological activity, so that the shooting terminal 1 is located at the set shooting position for a long time, and the risk of false alarm of the landslide monitoring and early warning system caused by deviation of the mounting frame 2 is reduced.
Referring to fig. 2, in particular, the side wall of the mounting frame 2 is bolted with a gyroscope 4, a control terminal 5 and a solar panel 6, and the gyroscope 4 is used for monitoring the offset of the mounting frame 2 in a three-dimensional space. And the control terminal 5 is used for receiving the monitoring data of the gyroscope 4 and starting the adaptive adjusting device 3 according to the monitoring data. Solar panel 6 provides required electric quantity for landslide monitoring and early warning system. Solar panel 6 slope sets up in the lateral wall of mounting bracket 2 to rainwater or dust are by oneself the landing, reduce the risk that the dust covers solar panel 6. Shoot terminal 1, adaptation adjusting device 3, gyroscope 4 and the equal electric connection of solar panel 6 in control terminal 5, control terminal 5 has the image storage that will shoot terminal 1 and send the function to the cloud platform, send gyroscope 4 and the 6 operating condition of solar panel to the function of cloud platform and will adapt to adjusting device 3's start-up state and send the function to the cloud platform.
Referring to fig. 3, the adaptive adjusting device 3 includes a base 31 and a plurality of electric push rods 32, wherein the base 31 is used for being fixedly connected to the ground, and the base 31 may be fixed to the ground by bolts, or may be fixed by being inserted into the soil by using diagonal braces. The electric push rods 32 are all connected to the surface, deviating from the ground, of the base 31 through bolts, and the output ends of the electric push rods 32 are hinged to the bottom of the mounting frame 2 through balls. Base 31 is provided with bellows 7 that is used for holding many electric putter 32, and the inside wall bonding of bellows 7 one end is fixed in the lateral wall of base 31, and the other end bonding is fixed in the lateral wall of mounting bracket 2 to make many electric putter 32 be located the inner chamber of bellows 7, reduce the risk of external rainwater or dust and electric putter 32 contact.
Referring to fig. 3, the control terminal 5 is configured to control the strokes of the plurality of electric push rods 32, so as to enable the mounting frame 2 to be turned in different directions relative to the base 31 by using different strokes of the plurality of electric push rods 32, thereby enabling the mounting frame 2 to be at a fixed angle with respect to the ground for a long time, and further enabling the photographing terminal 1 mounted on the mounting frame 2 to be at a set photographing position for a long time.
Referring to fig. 2 and 3, after the base 31 is installed on the ground and the photographing position of the photographing terminal 1 is determined, the initial data of the gyroscope 4 is determined by the control terminal 5 and the cloud platform and is used as the reference data for the adjustment device 3. Follow-up as long as mounting bracket 2 takes place the skew, through control terminal 5 and gyroscope 4, start many electric putter 32, correct the skew position of mounting bracket 2, make gyroscope 4 resume initial data to realize that mounting bracket 2 and ground are in the effect in the fixed angle for a long time.
The embodiment of the application further discloses a landslide monitoring and early warning method, and the landslide monitoring and early warning system is applied.
A landslide monitoring and early warning method comprises the following steps:
s1: the method comprises the steps of obtaining soil slope images, storing and generating basic images, identifying boundary lines of a target soil slope in the basic images, dividing the basic images into a plurality of identification areas, identifying and marking reference objects at different positions in each identification area, and generating a reference object.
Specifically, the shooting terminal 1 shoots a target soil slope, and then the cloud platform obtains a shot picture of the shooting terminal 1, stores the shot picture and generates a basic image. And the cloud platform identifies the boundary line of the target soil slope of the basic image. And if the boundary line of the target soil body slope is abnormal in identification or personnel intervene when the boundary line of the target soil body slope cannot be identified, manually marking the boundary line. After the boundary line of the target soil body side slope is recognized, the cloud platform divides the basic image into a plurality of recognition areas.
For example, the arrangement of the plurality of identification areas may be a plurality of identification areas divided from top to bottom according to the height of the target soil, or a plurality of identification areas with the same area may be cut from left to right. And the number and the size of the identification areas are determined according to the size and the area of the target soil slope.
After the positions and the number of the areas to be identified are determined, the cloud platform identifies and marks the reference object in each identification area. The reference object referred to herein may be a natural product such as stone, tree, crack, etc., or an artificial product such as a cement pile, a utility pole, a marker pole, etc.
S2: acquiring rainfall information, and judging whether a target soil slope is in a rainfall area or not; if yes, executing S21, if not, generating and acquiring interval contrast image information, and executing S4.
S21: acquiring real-time rainfall, and judging whether the real-time rainfall exceeds a set rainfall threshold; if so, landslide warning information is generated, and S10 is executed, otherwise, S211 is executed.
S211: and generating and acquiring continuous contrast image information.
Specifically, the cloud platform is externally connected with a weather forecast platform, and the cloud platform or a worker inputs the position of the target soil slope to the weather forecast platform, such as xx city xx/district in xx province. And then the cloud platform judges whether the target soil body slope is in the rainfall region. And (4) executing S4 when the target soil body side slope is not in the rainfall area. The landslide warning information can be voice and can be characters.
And S21 is executed when the target soil body slope is in the rainfall area. And the cloud platform acquires the real-time rainfall and the predicted rainfall time section from the weather forecast platform. And if the real-time rainfall is larger than the set rainfall threshold value, indicating that strong rainfall possibly exists in the target soil body slope position area and landslide risk exists, generating landslide early warning information by the cloud platform, and executing S10. If the real-time rainfall is smaller than the set rainfall threshold value, the target soil body slope position area is only light rain or gusty rain, the cloud platform generates and obtains continuous comparison image information, and the obtained continuous comparison image information comprises the section of the expected rainfall time. And the shooting terminal acquires the continuously-compared image information and continuously shoots or records in the expected rainfall time section. And the shooting terminal sends the continuous pictures or videos to the cloud platform in real time so that the cloud platform monitors the target soil slope in real time, constantly pays attention to the state of the soil slope, and then S4 is executed. By means of the design, whether the target soil slope position area is a rainfall area or not and whether the real-time rainfall exceeds a set rainfall threshold or not are judged, whether the target soil slope has a landslide trend or not is judged in time, and when the target soil slope has the landslide trend, landslide early warning information is sent in time.
It is noted that the set rainfall threshold is calculated by historical monitoring data and a landslide deformation damage model experiment. For example, the rainfall is divided into light rain, medium rain, heavy rain and heavy rain, and the rainfall threshold is set between the rainfall amount of heavy rain and the rainfall amount of heavy rain. Once the rainfall threshold is exceeded, it is indicated that heavy rain or heavy rain exists in the target soil slope position area, and the possibility of landslide is greatly increased.
S3: and based on the shooting terminal 1, receiving and responding to the information of the obtained continuous comparison images, generating a plurality of continuous comparison images or real-time videos, and executing S5.
S4: based on the shooting terminal 1, receiving and responding to the acquired interval contrast image information, and generating a plurality of interval contrast images.
Specifically, it can be understood that the target soil slope is not in a rainfall area, and the shooting mode of the shooting terminal 1 is triggered. In other embodiments, the shooting mode of the shooting terminal 1 may also be a combination of interval shooting and continuous shooting. When the shooting terminal 1 is in a rainfall area, continuous shooting or video recording is carried out on the shooting terminal 1, and when the shooting terminal 1 is not in the rainfall area, interval shooting is carried out. For example, if the interval photographing section command is 1h, the photographing terminal 1 photographs 24 contrast images in 24h a day. The significance of designing the shooting mode of the shooting terminal 1 in this way is: the problem that the shooting terminal 1 is always in a continuous working state no matter in rain or in the absence of rain is solved, the risk that the shooting terminal 1 is heated and damaged due to continuous working is reduced, and therefore the service life of the shooting terminal 1 is prolonged.
S5: and acquiring a comparison image, identifying a reference object in the comparison image, and generating displacement comparison information.
It should be noted that the difference between the comparison image and the basic image is only the sequence of the shooting time, that is, the picture shot by the first shooting terminal 1 is defined as the basic image, and the pictures shot by the subsequent shooting terminals 1 at the same shooting position and the same shooting parameters are the comparison images. After the cloud platform acquires the comparison image, the cloud platform identifies a reference object located in the basic image, and then generates displacement comparison information.
S6: judging whether the position of the reference object in the comparison image is consistent with the position of the reference object in the basic image or not according to the comparison displacement information; if yes, executing S2, otherwise, executing S61.
S61: judging whether the movement quantity of the reference object in the comparison image exceeds a set movement quantity threshold value or not; if yes, landslide early warning information is generated, S10 is executed, if not, a detection instruction is generated, and S7 is executed.
Specifically, when the cloud platform identifies the reference object of the comparison image, the reference object in each identification area in the comparison image is framed by a square frame or a round frame, and the cloud platform takes the boundary line of the framed square frame or round frame as the reference. And judging whether the positions of the reference object in the comparison image and the reference object in the basic image are consistent and whether the number of the reference objects in the comparison image exceeds a set movement number threshold. If the positions of the reference objects are inconsistent, highlighting and counting the reference objects with inconsistent positions by the cloud platform, counting the number of the reference objects with position changes, and judging the threshold value of the number of the reference objects.
For example, the number of the identification regions is three, the number of the fiducial markers in each identification region is five, the movable number of the fiducial markers in each identification region is set to be two, and the threshold value of the movable number is set to be 2 × 3= 6. That is, the movement amount threshold is set to the sum of the movable amounts of the reference objects in the plurality of identification areas.
When the positions of the reference object of the comparison image and the reference object of the basic image are not consistent, the reference object is shown to move at the position of the soil slope, but the position movement does not necessarily show that the landslide risk exists, and the landslide risk may be caused by human activities or animal activities. The cloud platform further judges whether the movement quantity of the benchmark reference objects in each identification area exceeds a set movement quantity threshold value, if the movement quantity threshold value is exceeded, landslide trend of the target soil body side slope is shown, landslide early warning information is generated, if the movement quantity threshold value is not exceeded, abnormity of the benchmark reference objects in partial identification areas is shown, the cloud platform generates a detection instruction to further determine the condition of the target soil body side slope, and then judgment is carried out.
S7: and receiving and responding to the investigation instruction based on the unmanned aerial vehicle terminal, and recording the video of the target soil slope in real time to generate investigation video information.
Specifically, the cloud platform docks unmanned aerial vehicle control platform, and unmanned aerial vehicle terminal and unmanned aerial vehicle control platform keep the butt joint state. After the cloud platform generates the investigation instruction, the cloud platform sends the investigation instruction to the unmanned aerial vehicle control platform, then the unmanned aerial vehicle control platform sends the investigation instruction to the unmanned aerial vehicle terminal, and the staff utilizes the unmanned aerial vehicle terminal to remotely record a video of the target soil slope.
The detection instruction comprises identification area position information and a patrol track route, wherein the identification area position information is an identification area position where the position of the reference object in the comparison image is inconsistent with the position of the reference object in the basic image. The patrol track route is a flight route surrounding a target soil slope. By means of the design, the unmanned aerial vehicle terminal can fly to the position above the identification area with the abnormal reference object quickly, the identification area with the abnormal reference object is shot quickly, and meanwhile after the automatic real-time video recording time is reached, for example, after the video recording time of the unmanned aerial vehicle terminal above the identification area with the abnormal reference object reaches 2 minutes, the unmanned aerial vehicle terminal performs surrounding flight on the target soil slope and records videos around the target soil slope.
S8: and based on the display terminal, receiving the investigation video information and displaying the real-time video.
The staff remotely observes the circumstances around the target soil body side slope through display terminal, discriminates the benchmark reference object in the identification area, judges that the benchmark reference object that is caused by human activity or animal activity removes, utilizes the patrol at unmanned aerial vehicle terminal simultaneously, and the staff of being convenient for knows in advance whether the benchmark reference object that is caused by human activity or animal activity removes.
S9: and generating whether a landslide early warning information frame popping instruction is issued or not according to the detection instruction, if so, generating landslide early warning information, and executing S10, otherwise, executing S1.
And the cloud platform generates a command of whether to issue landslide early warning information pop boxes or not according to the detection command. The staff observes the real-time video to observe whether the target soil slope position area has the signs of human activities or animal activities, confirms whether the movement of the reference object is caused by human activities or animal activities again, does not find the signs of human activities or animal activities, and clicks a button for confirming and releasing landslide early warning information. Through on-site confirmation of the unmanned aerial vehicle terminal, the reference object position moving state is confirmed again, so that the abnormal situation of the target soil slope is further accurately judged, the problem of missed report or false report landslide early warning of a cloud platform is solved, and the accuracy of landslide early warning is improved.
And if the movement of the reference object in the comparison image is determined to be caused by human activities or animal activities, clicking a button for canceling the release of landslide early warning information, and re-acquiring the basic image to update the basic image and the reference object, so that the next round of monitoring of the target soil slope and landslide early warning is performed, and the effect that the basic image can be updated in time due to the movement of the reference object caused by external factors is realized.
S10: and receiving and responding to landslide early warning information based on the early warning terminal.
The early warning terminal can be a broadcast installed near a target soil body slope, can also be a mobile phone of a worker and residents near the target soil body slope, and can also be a combination of the broadcast and the mobile phone. After the early warning terminal receives the landslide early warning information, the landslide early warning information is issued in time, and therefore the landslide early warning effect is achieved.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. A landslide monitoring and early warning method is characterized by comprising the following steps:
acquiring a soil slope image, storing and generating a basic image; identifying a boundary line of a target soil slope in the basic image, dividing the basic image into a plurality of identification areas, identifying and marking reference objects at different positions in each identification area, and generating a reference object;
acquiring a comparison image, identifying the reference object in the comparison image, and generating displacement comparison information;
and judging whether the position of the reference object in the comparison image is consistent with the position of the reference object in the basic image or not according to the displacement comparison information, judging whether the movement quantity of the reference object in the comparison image exceeds a set movement quantity threshold or not when the position of the reference object in the comparison image is inconsistent with the position of the reference object in the basic image, and generating landslide warning information when the movement quantity of the reference object in the comparison image exceeds the set movement quantity threshold.
2. The landslide monitoring and early warning method according to claim 1, wherein: acquiring rainfall information, judging whether the target soil body side slope is in a rainfall area, and acquiring real-time rainfall when the target soil body side slope is in the rainfall area;
judging whether the real-time rainfall exceeds a set rainfall threshold or not according to the real-time rainfall;
when the real-time rainfall exceeds a set rainfall threshold, generating landslide early warning information;
and when the real-time rainfall does not exceed a set rainfall threshold, generating and acquiring continuous contrast image information.
3. The landslide monitoring and early warning method according to claim 2, wherein: and when the target soil body slope is not in a rainfall area, generating and acquiring interval comparison image information.
4. The landslide monitoring and early warning method according to claim 1, wherein: generating a detection instruction when the movement quantity of the reference object in the comparison image does not exceed a set threshold value;
based on the unmanned aerial vehicle terminal, receiving and responding to the investigation instruction, carrying out real-time video recording on the target soil slope, and generating investigation video information and a command of whether to issue landslide early warning information or not;
based on a display terminal, receiving the investigation video information and displaying a real-time video;
and generating a command whether to issue the landslide early warning information bullet frame or not according to the detection command, and generating the landslide early warning information when the landslide early warning information is confirmed to be issued.
5. The landslide monitoring and pre-warning method according to claim 4, wherein: and when the landslide early warning information is cancelled, acquiring the soil slope image again to update the basic image and the reference object.
6. The landslide monitoring and early warning method according to claim 4, wherein: the investigation instruction comprises identification area position information and a patrol track route, wherein the identification area position information is an identification area position where the position of the reference object in the comparison image is inconsistent with the position of the reference object in the basic image; the patrol track route is a flight route which is executed after the automatic real-time video recording time is reached and surrounds a target soil slope.
7. A landslide monitoring and early warning system is characterized by being applied to the landslide monitoring and early warning method as claimed in any one of claims 1 to 6, and comprising a plurality of shooting terminals (1) for shooting soil slopes, a mounting frame (2) for mounting the shooting terminals (1), and an adaptive adjusting device (3) for adjusting the shooting positions of the shooting terminals (1); a shooting distance is reserved between the mounting rack (2) and the soil body side slope; a gyroscope (4) is installed on the mounting rack (2), the gyroscope (4) is used for monitoring the offset of the mounting rack (2) in a three-dimensional space, a control terminal (5) is installed on the mounting rack (2), and the control terminal (5) is used for receiving monitoring data of the gyroscope (4) and starting the adaptive adjusting device (3) according to the monitoring data; the shooting terminal (1), the adaptation adjusting device (3) and the gyroscope (4) are electrically connected to the control terminal (5).
8. The landslide monitoring and pre-warning system of claim 7, wherein: the adaptive adjusting device (3) comprises a base (31) and a plurality of electric push rods (32), wherein the base (31) is used for being connected and fixed with the ground; the electric push rods (32) are connected to the bottom of the base (31); the output end of the electric push rod (32) is hinged to the mounting frame (2) through a ball; the control terminal (5) is used for controlling the strokes of the electric push rods (32).
9. The landslide monitoring and pre-warning system of claim 8, wherein: a corrugated pipe (7) is arranged on the side wall of the base (31), and the corrugated pipe (7) and the movable rod are coaxially arranged; the inner side wall of one end of the corrugated pipe (7) is connected to the side wall of the base (31), and the inner side wall of the other end of the corrugated pipe is connected to the peripheral side wall of the movable rod; the electric push rods (32) are all positioned in the inner cavity of the corrugated pipe (7).
10. The landslide monitoring and pre-warning system of claim 8, wherein: the movable rod is kept away from the one end slope of base (31) is provided with solar panel (6), solar panel (6) electric connection in control terminal (5).
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