Dam landslide early warning method and system based on image analysis

Abstract

The invention relates to the technical field of dam landslide early warning, in particular to a dam landslide early warning method and system based on image analysis. According to the method, the dam landslide danger can be timely and accurately found; firstly, a dam is divided into a plurality of monitoring areas, each monitoring area is correspondingly provided with a monitoring shooting assembly, and a camera shoots real-time slope images corresponding to the monitoring areas once every preset duration; then, the distance between the identification rods in the real-time slope image is obtained, and the slope displacement condition of the monitoring area can be obtained based on the distance between the identification rods in the real-time slope image of the same monitoring area at different shooting moments, so that the landslide risk level of the monitoring area is determined, and landslide early warning information is generated in time; the management personnel is reminded; according to the scheme, manual regular inspection of the dam is not needed, and due to the fact that the number of the monitoring shooting assemblies is multiple, the dangerous situation of the dam can be found timely and accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of dam landslide early warning, and in particular to a dam landslide early warning method and system based on image analysis. Background Art

[0002] Dam slope landslide monitoring is an important basis for ensuring the safety of reservoir projects and flood control. Its main purpose is to timely detect and warn of dangerous landslides on dam slopes, so as to improve the early warning and management level of reservoir dam flood control safety. Existing dam landslide warning schemes are mostly implemented by manual regular inspections. This prediction method is inefficient and cannot detect landslide hazards in dams in a timely manner. Therefore, there is an urgent need for a technical solution that can detect dam landslide hazards in a timely and accurate manner. Summary of the invention

[0003] The main purpose of the present invention is to provide a dam landslide early warning method and system based on image analysis, aiming to solve the problem that a technical solution is urgently needed that can timely and accurately detect dam landslide hazards.

[0004] The technical solution proposed by the present invention is:

[0005] A dam landslide early warning method based on image analysis is applied to a dam landslide early warning system based on image analysis; the system comprises a monitoring and shooting component and a server; the monitoring and shooting component comprises a support column, an identification pole and a camera; the camera is arranged at the top of the support column; the support column is vertically arranged at one side edge of the dam, the identification pole is embedded in the slope surface of the dam, and the top of the identification pole is exposed; the number of the identification poles is multiple, and the multiple identification poles are located on the same vertical plane; the top of the identification pole is provided with an identification ball painted with a preset color; the camera is communicatively connected to the server; the number of the monitoring and shooting components is multiple, and the dam is divided into multiple monitoring areas; the number of the monitoring areas is consistent with the number of the monitoring and shooting components, and they correspond one to one; the monitoring and shooting components are arranged in the corresponding monitoring areas; the method comprises:

[0006] The server determines the shooting time, wherein the interval between adjacent shooting times is a preset time;

[0007] The camera captures a real-time slope image at the capturing time, and sends the real-time slope image to the server, wherein the real-time slope image includes all the identification poles of the same monitoring and capturing assembly;

[0008] The server performs image analysis on the real-time slope image to obtain the distance between the marking poles in the real-time slope image;

[0009] The server determines the landslide risk level of the monitoring area based on the distance between the marking poles in the real-time slope images corresponding to the same monitoring area at different shooting times, wherein the landslide risk level includes high risk and low risk;

[0010] When the landslide risk level is high risk, the server generates landslide warning information.

[0011] Preferably, the server performs image analysis on the real-time slope image to obtain the distance between the marking poles in the real-time slope image, including:

[0012] The server performs image analysis on the real-time slope image to sort the marker poles in the real-time slope image according to the distance between them and the support column to obtain an arrangement sequence number of each marker pole, wherein the arrangement sequence number of the marker poles is [1, 2, ..., k, ..., K], the first marker pole is the marker pole with the smallest distance from the support column, the kth marker pole is the marker pole with the kth smallest distance from the support column, and K is the total number of marker poles in the monitoring camera assembly;

[0013] The server performs image analysis on the real-time slope image to obtain the distance between the first marking pole and the remaining marking poles in the real-time slope image.

[0014] Preferably, the server performs image analysis on the real-time slope image to obtain the distance between the first marker pole and the remaining marker poles in the real-time slope image, including:

[0015] The server performs image analysis on the real-time slope image to obtain the center point of the marker ball of each marker pole in the real-time slope image;

[0016] The server obtains the distance between the center point of the marking ball of the first marking pole and the center points of the marking balls of the remaining marking poles in the real-time slope image, where D j,n It is the distance between the center point of the marker ball of the first marker pole in the nth real-time slope image and the center point of the marker ball of the remaining jth marker pole, j is a positive integer less than or equal to J, the value of J is K-1, n is a positive integer less than or equal to N, and N is the total number of real-time slope images that have been taken in the same monitoring area.

[0017] Preferably, the server determines the landslide risk level of the monitoring area based on the distance between the marking poles in the real-time slope images corresponding to the same monitoring area at different shooting times, including:

[0018] The server marks the real-time slope image captured by the camera for the first time as an initial image;

[0019] The server calculates the overall displacement value based on the latest real-time slope image and the initial image:

[0020]

[0021] Where D Z is the overall displacement value; D j,N is the distance between the center point of the marker ball of the first marker pole and the center point of the marker ball of the remaining jth marker pole in the latest real-time slope image; D j,1 is the distance between the center point of the marker ball of the first marker rod in the initial image and the center point of the marker ball of the remaining j-th marker rod;

[0022] The server determines the landslide risk level of the monitoring area based on the overall displacement value.

[0023] Preferably, the server determines the landslide risk level of the monitoring area based on the overall displacement value, including:

[0024] The server determines the overall safety displacement value corresponding to the latest real-time slope image;

[0025] The server determines whether the overall displacement value is greater than the overall safety displacement value;

[0026] If so, the server determines that the landslide risk level of the monitoring area is high risk;

[0027] If not, the server determines that the landslide risk level of the monitoring area is low risk.

[0028] Preferably, the server marks the real-time slope image captured by the camera for the first time as an initial image, and then further comprises:

[0029] The server calculates the single-rod displacement value corresponding to the latest real-time slope image based on the latest real-time slope image and the initial image:

[0030] D j =D j,N -D j,1 ,

[0031] Where D j is the j-th single-rod displacement value corresponding to the latest real-time slope image;

[0032] The server determines the landslide risk level of the monitoring area based on the single-rod displacement value corresponding to the latest real-time slope image.

[0033] Preferably, the server determines the landslide risk level of the monitoring area based on the single-rod displacement value corresponding to the latest real-time slope image, including:

[0034] The server determines a single-pole safety displacement value corresponding to the latest real-time slope image;

[0035] The server determines whether the following condition is met: any single-pole displacement value corresponding to the latest real-time slope image is greater than the single-pole safety displacement value;

[0036] If so, the server determines that the landslide risk level of the monitoring area is high risk;

[0037] If not, the server determines that the landslide risk level of the monitoring area is low risk.

[0038] Preferably, the calculation formula of the single rod safety displacement value is:

[0039]

[0040] Where W D is the single rod safety displacement value; W Z is the overall safe displacement value.

[0041] Preferably, a plurality of monitoring and shooting components are respectively arranged on both sides of the dam; the system further comprises a monitoring terminal connected to the server in communication; when the landslide risk level is high risk, the server generates landslide warning information, and then further comprises:

[0042] The server sends the warning information to the monitoring terminal;

[0043] The monitoring terminal displays the warning information.

[0044] The present invention also proposes a dam landslide early warning system based on image analysis, which applies a dam landslide early warning method based on image analysis; the system includes a monitoring and shooting component and a server; the monitoring and shooting component includes a support column, an identification pole and a camera; the camera is arranged at the top of the support column; the support column is vertically arranged on one side edge of the dam, the identification pole is embedded in the slope surface of the dam, and the top of the identification pole is exposed; the number of the identification poles is multiple, and the multiple identification poles are in the same vertical plane; the top of the identification pole is provided with an identification ball painted with a preset color; the camera is communicatively connected to the server; the number of the monitoring and shooting components is multiple, and the dam is divided into multiple monitoring areas; the number of the monitoring areas is consistent with that of the monitoring and shooting components, and corresponds one to one; the monitoring and shooting components are arranged in the corresponding monitoring areas.

[0045] Through the above technical solution, the following beneficial effects can be achieved:

[0046] The dam landslide early warning method based on image analysis proposed in the present invention can timely and accurately detect the dam landslide danger; first, the dam is divided into multiple monitoring areas, each monitoring area is correspondingly provided with a monitoring shooting component, and the camera shoots the real-time slope image corresponding to the monitoring area once every preset time; then the distance between each marker pole in the real-time slope image is obtained, and the distance between each marker pole in the real-time slope image at different shooting times of the same monitoring area can be used to obtain the slope displacement of the monitoring area, thereby determining the landslide risk level of the monitoring area, and thus generating landslide early warning information in time to remind management personnel; this solution does not require manual regular inspections of the dam, and since there are multiple monitoring shooting components, the dam danger can be discovered in time and accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] 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 or the description of the prior art 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 the structures shown in these drawings without paying creative work.

[0048] Figure 1 A flowchart of a first embodiment of a dam landslide early warning method based on image analysis proposed by the present invention;

[0049] Figure 2 This is a schematic diagram of the arrangement of monitoring and shooting components on a dam in a dam landslide early warning system based on image analysis proposed by the present invention. DETAILED DESCRIPTION

[0050] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0051] The present invention provides a dam landslide early warning method and system based on image analysis.

[0052] As attached Figure 1 and attached Figure 2As shown, in a first embodiment of a dam landslide early warning method based on image analysis proposed by the present invention, the dam landslide early warning method based on image analysis is applied to a dam landslide early warning system based on image analysis; the system includes a monitoring and shooting component and a server; the monitoring and shooting component includes a support column, a marker pole and a camera; the camera is arranged at the top of the support column; the support column is vertically arranged at one side edge of the dam, the marker pole is embedded in the slope surface of the dam, and the top of the marker pole is exposed; the number of the marker poles is multiple, and the multiple marker poles are in the same vertical plane (and the support column and the multiple marker poles are not in the same vertical plane); the top of the marker pole is provided with a marker ball painted with a preset color (for example, red, by painting the preset color, the marker ball is more recognizable, so as to facilitate subsequent image analysis); the camera is communicatively connected to the server; the number of the monitoring and shooting components is multiple, and the dam is divided into multiple monitoring areas; the number of the monitoring areas and the monitoring and shooting components is consistent and one-to-one corresponding; the monitoring and shooting components are arranged in the corresponding monitoring areas; this embodiment includes the following steps:

[0053] Step S110: the server determines the shooting time, wherein the interval between adjacent shooting times is a preset interval.

[0054] Specifically, for example, the preset duration is 1 day; the shooting time is 10 o'clock every morning; then the camera shoots a real-time slope image every other day.

[0055] Step S120: the camera captures a real-time slope image at the capturing time, and sends the real-time slope image to the server, wherein the real-time slope image includes all identification poles of the same monitoring and capturing component.

[0056] Step S130: the server performs image analysis on the real-time slope image to obtain the distance between the marking poles in the real-time slope image.

[0057] Specifically, the distance between the marking poles in the real-time slope image can reflect the displacement of the slope surface.

[0058] Step S140: The server determines the landslide risk level of the monitoring area based on the distances between the marking poles in the real-time slope images corresponding to the same monitoring area at different shooting times, wherein the landslide risk level includes high risk and low risk.

[0059] Specifically, the server can obtain the slope displacement of the monitoring area based on the distances between the marking poles in the real-time slope images of the same monitoring area at different shooting times, thereby determining the landslide risk level of the monitoring area.

[0060] Step S150: When the landslide risk level is high risk, the server generates landslide warning information.

[0061] The dam landslide early warning method based on image analysis proposed in the present invention can timely and accurately detect the dam landslide danger; first, the dam is divided into multiple monitoring areas, each monitoring area is correspondingly provided with a monitoring shooting component, and the camera shoots the real-time slope image corresponding to the monitoring area once every preset time; then the distance between each marker pole in the real-time slope image is obtained, and the distance between each marker pole in the real-time slope image at different shooting times of the same monitoring area can be used to obtain the slope displacement of the monitoring area, thereby determining the landslide risk level of the monitoring area, and thus generating landslide early warning information in time to remind management personnel; this solution does not require manual regular inspections of the dam, and since there are multiple monitoring shooting components, the dam danger can be discovered in time and accurately.

[0062] In a second embodiment of a dam landslide early warning method based on image analysis proposed by the present invention, based on the first embodiment, step S130 includes the following steps:

[0063] Step S210: The server performs image analysis on the real-time slope image to sort the marker poles in the real-time slope image according to the distance between them and the support column to obtain an arrangement number of each marker pole, wherein the arrangement number of the marker poles is [1, 2, ..., k, ..., K], the first marker pole is the marker pole with the smallest distance from the support column, the kth marker pole is the marker pole with the kth smallest distance from the support column, and K is the total number of marker poles in the monitoring camera assembly.

[0064] Specifically, in this embodiment, K is 5, that is, the total number of identification poles in the monitoring and shooting assembly is 5, and the identification poles in the same monitoring and shooting assembly are arranged at equal intervals.

[0065] Step S220: the server performs image analysis on the real-time slope image to obtain the distance between the first marker pole and the remaining marker poles in the real-time slope image.

[0066] Specifically, as attached Figure 2 As shown, the distance between the first marker pole and the remaining first (actually second) marker pole, the distance between the first marker pole and the remaining second (actually third) marker pole, the distance between the first marker pole and the remaining third (actually fourth) marker pole, and the distance between the first marker pole and the remaining fourth (actually fifth) marker pole are obtained; thereby reflecting the slope displacement conditions at various locations on the entire slope surface as a whole.

[0067] In a third embodiment of a dam landslide early warning method based on image analysis proposed by the present invention, based on the second embodiment, step S220 includes the following steps:

[0068] Step S310: the server performs image analysis on the real-time slope image to obtain the center point of the marker ball of each marker pole in the real-time slope image.

[0069] Step S320: The server obtains the distance between the center point of the marker ball of the first marker pole in the real-time slope image and the center points of the marker balls of the remaining marker poles, where D j,n It is the distance between the center point of the marker ball of the first marker pole in the nth real-time slope image and the center point of the marker ball of the remaining jth marker pole, j is a positive integer less than or equal to J, the value of J is K-1, n is a positive integer less than or equal to N, and N is the total number of real-time slope images that have been taken in the same monitoring area.

[0070] Specifically, D 1,n D is the distance between the center point of the marker ball of the first marker rod and the center point of the marker ball of the remaining first marker rod in the nth real-time slope image; 2,n D is the distance between the center point of the marker ball of the first marker rod and the center point of the marker ball of the remaining second marker rod in the nth real-time slope image; 3,n is the distance between the center point of the marker ball of the third marker rod and the center point of the marker ball of the remaining first marker rod in the nth real-time slope image; D 4,n It is the distance between the center point of the marker ball of the first marker rod and the center point of the marker ball of the remaining fourth marker rod in the nth real-time slope image.

[0071] In a fourth embodiment of a dam landslide early warning method based on image analysis proposed by the present invention, based on the third embodiment, step S140 includes the following steps:

[0072] Step S410: The server marks the real-time slope image captured by the camera for the first time as an initial image.

[0073] Step S420: The server calculates the overall displacement value based on the latest real-time slope image and the initial image:

[0074]

[0075] Where D Z is the overall displacement value; D j,N is the distance between the center point of the marker ball of the first marker pole and the center point of the marker ball of the remaining jth marker pole in the latest real-time slope image; Dj,1 is the distance between the center point of the marker ball of the first marker rod in the initial image and the center point of the marker ball of the remaining j-th marker rod.

[0076] Step S430: The server determines the landslide risk level of the monitoring area based on the overall displacement value.

[0077] Specifically, the overall displacement value in this embodiment can reflect the slope displacement between the current latest real-time slope image and the initial image, so the landslide risk level of the monitoring area can be determined based on the overall displacement value; specifically, the larger the overall displacement value, the greater the probability that the landslide risk level of the corresponding monitoring area is high risk, and the smaller the overall displacement value, the greater the probability that the landslide risk level of the corresponding monitoring area is low risk.

[0078] In a fifth embodiment of a dam landslide early warning method based on image analysis proposed by the present invention, based on the fourth embodiment, step S430 includes the following steps:

[0079] Step S510: The server determines the overall safety displacement value corresponding to the latest real-time slope image.

[0080] Step S520: The server determines whether the overall displacement value is greater than the overall safety displacement value.

[0081] If yes, executing step S530: the server determines that the landslide risk level of the monitoring area is high risk.

[0082] If not, executing step S540: the server determines that the landslide risk level of the monitoring area is low risk.

[0083] Specifically, the overall safe displacement value here is the normal overall displacement value of all the marking poles on the dam slope under the action of gravity within the interval between the moment corresponding to the latest real-time slope image and the moment when the initial image was taken; if the overall displacement value is greater than the overall safe displacement value, it means that the dam slope has a large abnormal displacement, and risk investigation and early warning are needed in time, so the landslide risk level of the monitored area is high risk; otherwise, it means that there is no abnormality on the dam slope, and the landslide risk level of the monitored area is low risk.

[0084] In a sixth embodiment of a dam landslide early warning method based on image analysis proposed by the present invention, based on the fourth embodiment, step S410 further includes the following steps:

[0085] Step S610: The server calculates the single-rod displacement value corresponding to the latest real-time slope image based on the latest real-time slope image and the initial image:

[0086] D j =D j,N -D j,1 ,

[0087] Where D j is the j-th single-rod displacement value corresponding to the latest real-time slope image.

[0088] Step S620: The server determines the landslide risk level of the monitoring area based on the single-rod displacement value corresponding to the latest real-time slope image.

[0089] Specifically, the overall displacement value in the previous fourth embodiment is calculated based on all the remaining marking poles, and can reflect the displacement of the entire slope; while the single-pole displacement value in this embodiment can be calculated based on the displacement of a single marking pole, and can reflect the displacement of various areas of the slope. In order to provide more comprehensive landslide warning for the embankment, it is also necessary to determine the landslide risk level of the monitoring area based on the single-pole displacement value.

[0090] In the seventh embodiment of the dam landslide early warning method based on image analysis proposed by the present invention, based on the sixth embodiment, step S620 includes the following steps:

[0091] Step S710: the server determines the single-pole safety displacement value corresponding to the latest real-time slope image.

[0092] Step S720: the server determines whether the following condition is satisfied: any single-pole displacement value corresponding to the latest real-time slope image is greater than the single-pole safety displacement value.

[0093] If yes, executing step S730: the server determines that the landslide risk level of the monitoring area is high risk.

[0094] If not, executing step S740: the server determines that the landslide risk level of the monitoring area is low risk.

[0095] Specifically, the single-pole safety displacement value here is the normal single-pole displacement value between each marker pole of the dam slope under the action of gravity and the first marker pole within the interval between the moment corresponding to the current latest real-time slope image and the moment when the initial image was taken; if there is any single-pole displacement value greater than the single-pole safety displacement value, it means that the dam slope has a large abnormal displacement, and risk investigation and early warning are needed in time, so the landslide risk level of the monitored area is high risk; otherwise, it means that there is no abnormal displacement on the dam slope, and the landslide risk level of the monitored area is low risk.

[0096] In an eighth embodiment of a dam landslide early warning method based on image analysis proposed by the present invention, based on the seventh embodiment, the calculation formula of the single-rod safety displacement value is:

[0097]

[0098] Where W D is the single rod safety displacement value; W Z is the overall safe displacement value.

[0099] Specifically, this embodiment provides a calculation formula between the single-rod safety displacement value and the overall safety displacement value.

[0100] In a ninth embodiment of a dam landslide early warning method based on image analysis proposed by the present invention, based on the first embodiment, a plurality of monitoring and shooting components are respectively provided on both sides of the dam; the system further comprises a monitoring terminal connected to the server in communication; each monitoring area is correspondingly provided with a unique area number; step S150, and then further comprising the following steps:

[0101] Step S910: The server sends the warning information to the monitoring terminal, wherein the warning information includes the area number corresponding to the monitoring area with a high landslide risk level.

[0102] Step S920: The monitoring terminal displays the warning information.

[0103] The present invention also proposes a dam landslide early warning system based on image analysis, which applies a dam landslide early warning method based on image analysis; the system includes a monitoring and shooting component and a server; the monitoring and shooting component includes a support column, an identification pole and a camera; the camera is arranged at the top of the support column; the support column is vertically arranged on one side edge of the dam, the identification pole is embedded in the slope surface of the dam, and the top of the identification pole is exposed; the number of the identification poles is multiple, and the multiple identification poles are in the same vertical plane; the top of the identification pole is provided with an identification ball painted with a preset color; the camera is communicatively connected to the server; the number of the monitoring and shooting components is multiple, and the dam is divided into multiple monitoring areas; the number of the monitoring areas is consistent with that of the monitoring and shooting components, and corresponds one to one; the monitoring and shooting components are arranged in the corresponding monitoring areas.

[0104] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0105] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are within the protection of the present invention.

Claims

1. A dam landslide early warning method based on image analysis, characterized in that: The invention is applied to a dam landslide early warning system based on image analysis; the system comprises a monitoring and shooting component and a server; the monitoring and shooting component comprises a support column, a marking pole and a camera; the camera is arranged on the top of the support column; the support column is vertically arranged on one side edge of the dam, the marking pole is embedded in the slope surface of the dam, and the top of the marking pole is exposed; the number of the marking poles is multiple, and the multiple marking poles are located on the same vertical plane; the top of the marking pole is provided with a marking ball painted with a preset color; the camera is communicatively connected to the server; the number of the monitoring and shooting components is multiple, and the dam is divided into multiple monitoring areas; The number of the monitoring areas and the monitoring camera components is consistent and corresponds one to one; the monitoring camera components are arranged in the corresponding monitoring areas; The method comprises: The server determines the shooting time, wherein the interval between adjacent shooting times is a preset time; The camera captures a real-time slope image at the capturing time, and sends the real-time slope image to the server, wherein the real-time slope image includes all the identification poles of the same monitoring and capturing assembly; The server performs image analysis on the real-time slope image to obtain the distance between the marking poles in the real-time slope image; The server determines the landslide risk level of the monitoring area based on the distance between the marking poles in the real-time slope images corresponding to the same monitoring area at different shooting times, wherein the landslide risk level includes high risk and low risk; When the landslide risk level is high risk, the server generates landslide warning information.

2. The dam landslide early warning method based on image analysis according to claim 1 is characterized in that: The server performs image analysis on the real-time slope image to obtain the distance between the marking poles in the real-time slope image, including: The server performs image analysis on the real-time slope image to sort the marker poles in the real-time slope image according to the distance between them and the support column to obtain an arrangement sequence number of each marker pole, wherein the arrangement sequence number of the marker poles is [1, 2, ..., k, ..., K], the first marker pole is the marker pole with the smallest distance from the support column, the kth marker pole is the marker pole with the kth smallest distance from the support column, and K is the total number of marker poles in the monitoring camera assembly; The server performs image analysis on the real-time slope image to obtain the distance between the first marking pole and the remaining marking poles in the real-time slope image.

3. The dam landslide early warning method based on image analysis according to claim 2 is characterized in that: The server performs image analysis on the real-time slope image to obtain the distance between the first marker pole and the remaining marker poles in the real-time slope image, including: The server performs image analysis on the real-time slope image to obtain the center point of the marker ball of each marker pole in the real-time slope image; The server obtains the distance between the center point of the marking ball of the first marking pole and the center points of the marking balls of the remaining marking poles in the real-time slope image, where D j,n It is the distance between the center point of the marker ball of the first marker pole in the nth real-time slope image and the center point of the marker ball of the remaining jth marker pole, j is a positive integer less than or equal to J, the value of J is K-1, n is a positive integer less than or equal to N, and N is the total number of real-time slope images that have been taken in the same monitoring area.

4. The dam landslide early warning method based on image analysis according to claim 3 is characterized in that: The server determines the landslide risk level of the monitoring area based on the distance between the marking poles in the real-time slope images corresponding to the same monitoring area at different shooting times, including: The server marks the real-time slope image captured by the camera for the first time as an initial image; The server calculates the overall displacement value based on the latest real-time slope image and the initial image: Where D Z is the overall displacement value; D j,N is the distance between the center point of the marker ball of the first marker pole and the center point of the marker ball of the remaining jth marker pole in the latest real-time slope image; D j,1 is the distance between the center point of the marker ball of the first marker rod in the initial image and the center point of the marker ball of the remaining j-th marker rod; The server determines the landslide risk level of the monitoring area based on the overall displacement value.

5. The dam landslide early warning method based on image analysis according to claim 4 is characterized in that: The server determines the landslide risk level of the monitoring area based on the overall displacement value, including: The server determines the overall safety displacement value corresponding to the latest real-time slope image; The server determines whether the overall displacement value is greater than the overall safety displacement value; If so, the server determines that the landslide risk level of the monitoring area is high risk; If not, the server determines that the landslide risk level of the monitoring area is low risk.

6. The dam landslide early warning method based on image analysis according to claim 4 is characterized in that: The server marks the real-time slope image captured by the camera for the first time as an initial image, and then further includes: The server calculates the single-rod displacement value corresponding to the latest real-time slope image based on the latest real-time slope image and the initial image: D j =D j,N -D j,1 , Where D j is the j-th single-rod displacement value corresponding to the latest real-time slope image; The server determines the landslide risk level of the monitoring area based on the single-rod displacement value corresponding to the latest real-time slope image.

7. The dam landslide early warning method based on image analysis according to claim 6 is characterized in that: The server determines the landslide risk level of the monitoring area based on the single-rod displacement value corresponding to the latest real-time slope image, including: The server determines a single-pole safety displacement value corresponding to the latest real-time slope image; The server determines whether the following condition is met: any single-pole displacement value corresponding to the latest real-time slope image is greater than the single-pole safety displacement value; If so, the server determines that the landslide risk level of the monitoring area is high risk; If not, the server determines that the landslide risk level of the monitoring area is low risk.

8. The dam landslide early warning method based on image analysis according to claim 7 is characterized in that: The calculation formula of the single rod safety displacement value is: Where W D is the single rod safety displacement value; W Z is the overall safe displacement value.

9. The dam landslide early warning method based on image analysis according to claim 1, characterized in that: A plurality of monitoring and shooting components are respectively arranged on both sides of the dam; the system further comprises a monitoring terminal connected to the server in communication; when the landslide risk level is high risk, the server generates landslide warning information, and then further comprises: The server sends the warning information to the monitoring terminal; The monitoring terminal displays the warning information.

10. A dam landslide early warning system based on image analysis, characterized in that: A dam landslide early warning method based on image analysis as described in any one of claims 1 to 9 is applied; the system includes a monitoring and shooting component and a server; the monitoring and shooting component includes a support column, an identification pole and a camera; the camera is arranged at the top of the support column; the support column is vertically arranged at one side edge of the dam, the identification pole is embedded in the slope surface of the dam, and the top of the identification pole is exposed; the number of the identification poles is multiple, and the multiple identification poles are in the same vertical plane; the top of the identification pole is provided with an identification ball painted with a preset color; the camera is communicatively connected to the server; the number of the monitoring and shooting components is multiple, and the dam is divided into multiple monitoring areas; the number of the monitoring areas is consistent with that of the monitoring and shooting components, and corresponds one to one; the monitoring and shooting components are arranged in the corresponding monitoring areas.

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