Method and system for determining stability of dam based on porosity

Abstract

The present application relates to a method and system for determining the stability of a landslide dam based on porosity, wherein the method comprises: obtaining a photographed image of a landslide dam accumulation body; determining the porosity of the landslide dam accumulation body according to the photographed image; and determining the stability of the landslide dam based on the porosity of the landslide dam accumulation body. The technical solution proposed in the present application can perform real-time detection of the stability of the landslide dam without the need for staff to enter the landslide dam site, thereby ensuring the safety of the staff and improving the timeliness and accuracy of the stability detection of the landslide dam accumulation body after a disaster.

Description

Technical Field

[0001] The present application relates to the field of dam stability, and in particular to a porosity-based dam stability determination method and system. Background Art

[0002] A barrier dam is a geological phenomenon that occurs frequently and is highly harmful. It is mainly caused by earthquakes, heavy rainfall, volcanic eruptions, etc., under certain geological and geomorphological conditions. Natural landslides, debris flows, volcanic eruptions, glacial deposits, etc., block the river valley horizontally to form a dam body, causing waterlogging in the upstream section and forming a barrier lake. The barrier lake will not only cause flooding disasters to the upstream, but also have the risk of bursting. Once the blockage is destroyed, the lake water will overflow and pour down, forming a flood, which poses a serious threat to the downstream. Its destructiveness is no less than that of the disaster and is very dangerous. The formation of a barrier dam requires rich solid material conditions, a relatively narrow river valley, a certain catchment area and water supply. The existence of a barrier lake always threatens the safety of life and property in the downstream area. At the same time, for mountainous areas that carry a large number of hydropower projects, the barrier dam brings huge risks to the safe operation of a large number of local hydropower projects. In the reservoir area of ​​a hydropower station, landslides block mountain valleys or rivers after they occur. When the water storage reaches a certain level, a secondary disaster barrier lake is formed. The impounded lake will not only cause flooding disasters to the upstream hydropower stations, but also due to the risk of collapse, once the landslide dam is destroyed, the lake water will form a flood, which will pose a serious threat to the safety of the downstream hydropower stations.

[0003] The particle shape, roundness and looseness of the deposited materials of landslide disasters are the key contents for evaluating the stability of the dam and predicting the form of collapse. Generally speaking, the dam composed of deposited materials with greater looseness, smaller particles and worse gradation is easier to be destroyed. At the same time, this type of dam often breaks as a whole, and the sliding duration is short, so it is more harmful. The dam made of coarse particles with less looseness and good gradation generally suffers multi-stage retreat-type damage, which lasts for a long time and is not easy to be damaged. It can be seen that early understanding of the characteristics of the deposited materials of the dam body and finding out its roundness, looseness and particle shape are of great significance for the rapid judgment of the stability of the dam, protecting the safety of life and property downstream and the emergency management of the hydropower station.

[0004] At present, the usual method for evaluating the stability of landslide dams is to manually collect samples at the disaster site and transport them to the laboratory for physical and mechanical parameter testing. However, this method has great limitations, such as: 1. After a landslide geological disaster occurs, the site conditions of the newly formed landslide dam are often extremely poor, and manpower cannot reach the sampling site; 2. The formation of a landslide dam is often accompanied by many secondary disasters, and manual on-site sampling is extremely dangerous; 3. Since landslide dams are often formed by loose accumulation bodies, there are large differences between manual sampling and the actual accumulation form and looseness on site, and the whole process takes a long time. It is very likely that the landslide dam will collapse during this process. That is, the existing method for evaluating the stability of landslide dams is very dangerous and cannot analyze the stability of landslide dams in a timely and accurate manner. Summary of the invention

[0005] The present application provides a porosity-based method and system for determining the stability of a dam, so as to at least solve the problem that the existing dam stability evaluation method is relatively dangerous and cannot analyze the stability of the dam in a timely and accurate manner.

[0006] The first embodiment of the present application proposes a method for determining the stability of a dam based on porosity, the method comprising:

[0007] Acquire photographic images of the dam accumulation body;

[0008] Determining the porosity of the dam accumulation body according to the captured image;

[0009] The stability of the dam is determined based on the porosity of the dam deposit.

[0010] Preferably, the step of acquiring the photographed image of the dam accumulation body comprises:

[0011] Using a drone to photograph the dam accumulation body along a preset route and shooting points to obtain a photographed image of the dam accumulation body;

[0012] Wherein, the drone is equipped with a camera and a GPS system.

[0013] Further, the shooting points include: a row of shooting points corresponding to the dam top surface and two rows of shooting points corresponding to the upstream slope surface;

[0014] The horizontal positions of the one column of shooting points corresponding to the dam top surface and the two columns of shooting points corresponding to the upstream slope surface are aligned.

[0015] Preferably, determining the porosity of the dam accumulation body according to the captured image comprises:

[0016] Converting the captured image into a grayscale image using image processing software;

[0017] Filtering and removing noise from the grayscale image to convert it into a binary image, and performing a de-noising process on the binary image;

[0018] Comparing the processed binary image with the captured image to eliminate the non-crack black areas that are misidentified;

[0019] Determining the number of black pixels in the binary image after eliminating recognition errors;

[0020] The porosity of the dam deposit is determined based on the number of black pixels.

[0021] Furthermore, determining the porosity of the dam accumulation body based on the number of black pixels includes:

[0022] Based on the number of black pixels in each image, the porosity of the dam accumulation body corresponding to each shooting point is determined respectively;

[0023] According to the porosity of the dam accumulation body corresponding to each shooting point, respectively determine the mean porosity of the dam accumulation body corresponding to each column of shooting points;

[0024] The average porosity of the dam deposit at a row of shooting points corresponding to the dam top surface is taken as the porosity of the dam deposit at the dam top surface;

[0025] The average porosity of the dam deposit at the first row of shooting points corresponding to the upstream slope is taken as the first porosity of the dam deposit on the upstream slope, and the average porosity of the dam deposit at the second row of shooting points corresponding to the upstream slope is taken as the second porosity of the dam deposit on the upstream slope.

[0026] Furthermore, the porosity of the dam deposit is calculated as follows:

[0027]

[0028] Where n t,d is the porosity of the dam accumulation body corresponding to the shooting point d at time t, a d,i is the value of the i-th black pixel in the image corresponding to the shooting point d, A d is the image surface pixel corresponding to the shooting point d, and I is the total number of black pixels in the image.

[0029] Preferably, determining the stability of the dam based on the porosity of the dam deposit comprises:

[0030] Obtaining the porosity of the weir dam accumulation body on the dam top surface at each time within a preset time period, the first porosity, and the second porosity;

[0031] When the porosity of the dam accumulation body on the dam top surface at each moment is greater than the porosity at the previous moment, and / or the first porosity at each moment is greater than the porosity at the previous moment, and / or the second porosity at each moment is greater than the porosity at the previous moment, the dam is in an unstable state;

[0032] When the porosity of the dam accumulation body on the dam top surface at each moment is less than the porosity at the previous moment, and / or the first porosity at each moment is less than the porosity at the previous moment, and / or the second porosity at each moment is less than the porosity at the previous moment, the dam is in a stable state.

[0033] The second embodiment of the present application proposes a porosity-based stability determination system for a dam, comprising:

[0034] An acquisition module is used to acquire a photographic image of a dam accumulation body;

[0035] A first determination module is used to determine the porosity of the dam accumulation body according to the captured image;

[0036] The second determination module is used to determine the stability of the dam based on the porosity of the dam accumulation body.

[0037] Preferably, the acquisition module is used to: use a drone to photograph the dam accumulation body along a preset route and shooting points to obtain a photographed image of the dam accumulation body;

[0038] Wherein, the drone is equipped with a camera and a GPS system.

[0039] Further, the shooting points include: a row of shooting points corresponding to the dam top surface and two rows of shooting points corresponding to the upstream slope surface;

[0040] The horizontal positions of the one column of shooting points corresponding to the dam top surface and the two columns of shooting points corresponding to the upstream slope surface are aligned.

[0041] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0042] The present application proposes a method and system for determining the stability of a landslide dam based on porosity, wherein the method comprises: obtaining a photographed image of the landslide dam accumulation body; determining the porosity of the landslide dam accumulation body according to the photographed image; and determining the stability of the landslide dam based on the porosity of the landslide dam accumulation body. The technical solution proposed in the present application can perform real-time detection of the stability of the landslide dam without the need for staff to enter the landslide dam site, thereby ensuring the safety of the staff and improving the timeliness and accuracy of the stability detection of the landslide dam accumulation body after a disaster.

[0043] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0045] Figure 1 A flow chart of a method for determining stability of a dam based on porosity according to an embodiment of the present application;

[0046] Figure 2 A schematic diagram of a key area defined according to an embodiment of the present application;

[0047] Figure 3 A schematic diagram of shooting points provided according to an embodiment of the present application;

[0048] Figure 4 A schematic diagram of determining the porosity of a landslide dam by photographing it with a drone according to an embodiment of the present application;

[0049] Figure 5 A structural diagram of a porosity-based dam stability determination system provided according to an embodiment of the present application;

[0050] Figure 6 It is a structural diagram of a first determination module provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0051] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0052] The present application proposes a method and system for determining the stability of a landslide dam based on porosity, wherein the method comprises: obtaining a photographed image of the landslide dam accumulation body; determining the porosity of the landslide dam accumulation body according to the photographed image; and determining the stability of the landslide dam based on the porosity of the landslide dam accumulation body. The technical solution proposed in the present application can perform real-time detection of the stability of the landslide dam without the need for staff to enter the landslide dam site, thereby ensuring the safety of the staff and improving the timeliness and accuracy of the stability detection of the landslide dam accumulation body after a disaster.

[0053] The following describes a method and system for determining the stability of a dam based on porosity according to an embodiment of the present application with reference to the accompanying drawings.

[0054] Embodiment 1

[0055] Figure 1 Flow chart of a method for determining the stability of a dam based on porosity according to an embodiment of the present application, as shown in FIG. Figure 1 As shown, the method includes:

[0056] Step 1: Obtain a photographic image of the dam accumulation body;

[0057] In the embodiment of the present disclosure, the step 1 specifically includes:

[0058] Using a drone to photograph the dam accumulation body along a preset route and shooting points to obtain a photographed image of the dam accumulation body;

[0059] The drone returns after the shooting is completed or when the endurance is insufficient, and the preset route of the drone can be modified according to the needs.

[0060] Furthermore, the determination of the preset route includes:

[0061] First, roughly divide the landslide debris accumulation body according to the approximate scope of the landslide disaster, and set reasonable drone shooting points, which should involve several shooting points in the areas that need to be investigated in detail.

[0062] The key areas are as follows: Figure 2 As shown in the figure, since the collapse of the barrier dam is caused by the impact of the upstream water, the top of the dam is usually destroyed. Therefore, the top of the dam and the part of the upstream dam surface close to the top of the dam should be selected as the main shooting observation area, that is, the key area.

[0063] Further, such as Figure 3 As shown, the shooting points include: a row of shooting points corresponding to the dam top surface and two rows of shooting points corresponding to the upstream slope surface;

[0064] The horizontal positions of the one column of shooting points corresponding to the dam top surface and the two columns of shooting points corresponding to the upstream slope surface are aligned.

[0065] For example, the following provisions are made for the selection of shooting points: 5 shooting points are selected on the dam top surface, with a spacing of l / 6-l / 8, where l is the horizontal spacing in the figure. Distributed from the middle to both sides of the dam top central axis, 10 shooting points in two rows are selected on the upstream slope, with the positions as shown in the figure, one row is located close to the dam top surface, and the other row is l / 4 downward, and the horizontal position is aligned with the dam top shooting points.

[0066] Further, such as Figure 4As shown, the drone is equipped with a camera and a GPS system. When the drone arrives at a set point, it takes a picture of the landslide deposits, sends the image information and GPS location information to the analysis and control system computer via a 4G signal, and then flies to the next point of the preset flight route to continue taking pictures and send them to the analysis and control system computer; and so on, until the picture shooting task of the entire route is completed or the endurance is insufficient.

[0067] It should be noted that the UAV is connected to the control and analysis system computer through the GPS system and 4G signal to transmit data. The UAV has the function of taking high-definition images of the landslide dam accumulation body after the disaster; the high-definition images captured can be transmitted to the control and analysis system computer through the 4G signal. The control and analysis system computer checks the clarity and shooting position of the captured images in real time. When the shooting position and clarity do not meet the requirements, it will send instructions to the UAV to adjust the position or take additional photos, and then process the captured images to calculate the porosity of the dam accumulation body.

[0068] Step 2: determining the porosity of the dam accumulation body according to the captured image;

[0069] In the embodiment of the present disclosure, step 2 specifically includes:

[0070] Step 2-1: Convert the captured image into a grayscale image using image processing software;

[0071] Step 2-2: Filter and remove noise from the grayscale image to convert it into a binary image, and perform a de-noising process on the binary image;

[0072] Step 2-3: Compare the processed binary image with the captured image to eliminate the non-crack black areas that are misidentified;

[0073] Step 2-4: Determine the number of black pixels in the binary image after eliminating recognition errors;

[0074] Step 2-5: Determine the porosity of the dam accumulation body based on the number of the black pixels.

[0075] Among them, the image processing software is set in the control and analysis system computer, and the control and analysis system computer processes the captured images after receiving them sent by the drone.

[0076] Furthermore, the steps 2-5 specifically include:

[0077] Based on the number of black pixels in each image, the porosity of the dam accumulation body corresponding to each shooting point is determined respectively;

[0078] According to the porosity of the dam accumulation body corresponding to each shooting point, respectively determine the mean porosity of the dam accumulation body corresponding to each column of shooting points;

[0079] The average porosity of the dam deposit at a row of shooting points corresponding to the dam top surface is taken as the porosity of the dam deposit at the dam top surface;

[0080] The average porosity of the dam deposit at the first row of shooting points corresponding to the upstream slope is taken as the first porosity of the dam deposit on the upstream slope, and the average porosity of the dam deposit at the second row of shooting points corresponding to the upstream slope is taken as the second porosity of the dam deposit on the upstream slope.

[0081] Furthermore, the porosity of the dam deposit is calculated as follows:

[0082]

[0083] Where n t,d is the porosity of the dam accumulation body corresponding to the shooting point d at time t, a d,i is the value of the i-th black pixel in the image corresponding to the shooting point d, A d is the image surface pixel corresponding to the shooting point d, and I is the total number of black pixels in the image.

[0084] Step 3: Determine the stability of the dam based on the porosity of the dam deposit.

[0085] It should be noted that, as the dam is impacted by the upstream reservoir water, the stability of the dam is continuously decreasing. The soil material of the dam is continuously impacted, and the density of the dam accumulation body is continuously decreasing. It can be seen from the picture that the porosity is continuously increasing. Therefore, the stability state of the dam can be determined by the change of porosity. At the same time, most of the failures of the dam occurred in the early stage, that is, within 1-2 months after the landslide accumulated into the dam.

[0086] In the embodiment of the present disclosure, step 3 specifically includes:

[0087] Obtaining the porosity of the weir dam accumulation body on the dam top surface at each time within a preset time period, the first porosity, and the second porosity;

[0088] When the porosity of the dam accumulation body on the dam top surface at each moment is greater than the porosity at the previous moment, and / or the first porosity at each moment is greater than the porosity at the previous moment, and / or the second porosity at each moment is greater than the porosity at the previous moment, the dam is in an unstable state;

[0089] When the porosity of the dam accumulation body on the dam top surface at each moment is less than the porosity at the previous moment, and / or the first porosity at each moment is less than the porosity at the previous moment, and / or the second porosity at each moment is less than the porosity at the previous moment, the dam is in a stable state.

[0090] It should be noted that, in addition to the above situation, it can be determined that the landslide dam is slightly unstable, but it will not collapse in the short term.

[0091] To sum up, the present embodiment proposes a method for determining the stability of a landslide dam based on porosity. By acquiring images through drones and locating sampling points through the GPS system carried on the drones, real-time images and locations of the landslide dam accumulation bodies can be acquired quickly. Compared with manual surveys, the use of drones to photograph the landslide dam accumulation bodies and relying on advanced methods such as image processing can accurately and automatically calculate the porosity of the landslide dam accumulation bodies, providing a basis for the dam body breach time. The efficiency is much higher than manual surveys, and the method is flexible to use and has a wide range of applications.

[0092] Embodiment 2

[0093] Figure 5 FIG. 1 is a structural diagram of a porosity-based dam stability determination system according to an embodiment of the present application, such as Figure 5 As shown, including:

[0094] An acquisition module 100 is used to acquire a photographed image of a dam accumulation body;

[0095] A first determination module 200 is used to determine the porosity of the dam accumulation body according to the captured image;

[0096] The second determination module 300 is used to determine the stability of the dam based on the porosity of the dam deposit.

[0097] In the embodiment of the present disclosure, the acquisition module 100 is used to: use a drone to photograph the dam accumulation body along a preset route and shooting points to obtain a photographed image of the dam accumulation body;

[0098] Wherein, the drone is equipped with a camera and a GPS system.

[0099] Further, the shooting points include: a row of shooting points corresponding to the dam top surface and two rows of shooting points corresponding to the upstream slope surface;

[0100] The horizontal positions of the one column of shooting points corresponding to the dam top surface and the two columns of shooting points corresponding to the upstream slope surface are aligned.

[0101] In the embodiments of the present disclosure, Figure 6 As shown, the first determining module 200 includes:

[0102] A conversion unit 201 is used to convert the captured image into a grayscale image using image processing software;

[0103] The de-noising unit 202 is used to filter and remove noise from the grayscale image to convert it into a binary image, and perform de-noising on the binary image;

[0104] An elimination unit 203 is used to compare the processed binary image with the captured image to eliminate the non-crack black areas that are misidentified;

[0105] A first determining unit 204 is used to determine the number of black pixels in the binary image after eliminating recognition errors;

[0106] The second determining unit 205 is configured to determine the porosity of the dam accumulation body based on the number of the black pixels.

[0107] Further, the second determining unit 205 is specifically configured to:

[0108] Based on the number of black pixels in each image, the porosity of the dam accumulation body corresponding to each shooting point is determined respectively;

[0109] According to the porosity of the dam accumulation body corresponding to each shooting point, respectively determine the mean porosity of the dam accumulation body corresponding to each column of shooting points;

[0110] The average porosity of the dam deposit at a row of shooting points corresponding to the dam top surface is taken as the porosity of the dam deposit at the dam top surface;

[0111] The average porosity of the dam deposit at the first row of shooting points corresponding to the upstream slope is taken as the first porosity of the dam deposit on the upstream slope, and the average porosity of the dam deposit at the second row of shooting points corresponding to the upstream slope is taken as the second porosity of the dam deposit on the upstream slope.

[0112] The calculation formula of the porosity of the dam deposit is as follows:

[0113]

[0114] Where n t,d is the porosity of the dam accumulation body corresponding to the shooting point d at time t, a d,i is the value of the i-th black pixel in the image corresponding to the shooting point d, A d is the image surface pixel corresponding to the shooting point d, and I is the total number of black pixels in the image.

[0115] In the embodiment of the present disclosure, the second determining module 300 is specifically used to:

[0116] Obtaining the porosity of the weir dam accumulation body on the dam top surface at each time within a preset time period, the first porosity, and the second porosity;

[0117] When the porosity of the dam accumulation body on the dam top surface at each moment is greater than the porosity at the previous moment, and / or the first porosity at each moment is greater than the porosity at the previous moment, and / or the second porosity at each moment is greater than the porosity at the previous moment, the dam is in an unstable state;

[0118] When the porosity of the dam accumulation body on the dam top surface at each moment is less than the porosity at the previous moment, and / or the first porosity at each moment is less than the porosity at the previous moment, and / or the second porosity at each moment is less than the porosity at the previous moment, the dam is in a stable state.

[0119] It should be noted that, in addition to the above situation, it can be determined that the landslide dam is slightly unstable, but it will not collapse in the short term.

[0120] In summary, the porosity-based landslide dam stability determination system proposed in this embodiment can perform real-time detection of the stability of the landslide dam without the need for staff to enter the landslide dam site, thereby ensuring the safety of the staff and improving the timeliness and accuracy of the stability detection of the landslide dam accumulation body after the disaster.

[0121] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0122] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0123] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for determining the stability of a dam based on porosity, characterized in that: The method comprises: Acquire photographic images of the dam accumulation body; Determining the porosity of the dam accumulation body according to the captured image; Determining the stability of the dam based on the porosity of the dam deposit; The step of obtaining the captured image of the dam deposit comprises: Using a drone to photograph the dam accumulation body along a preset route and shooting points to obtain a photographed image of the dam accumulation body; Wherein, the drone is equipped with a camera and a GPS system; The shooting points include: a row of shooting points corresponding to the dam top surface and two rows of shooting points corresponding to the upstream slope surface; Wherein, the horizontal positions of the one column of shooting points corresponding to the dam top surface and the two columns of shooting points corresponding to the upstream slope surface are aligned; The step of determining the porosity of the dam accumulation body according to the captured image comprises: Converting the captured image into a grayscale image using image processing software; Filtering and removing noise from the grayscale image to convert it into a binary image, and performing a de-noising process on the binary image; Comparing the processed binary image with the captured image to eliminate the non-crack black areas that are misidentified; Determining the number of black pixels in the binary image after eliminating recognition errors; Determining the porosity of the dam accumulation body based on the number of the black pixels; The determining the porosity of the dam accumulation body based on the number of black pixels comprises: Based on the number of black pixels in each image, the porosity of the dam accumulation body corresponding to each shooting point is determined respectively; According to the porosity of the dam accumulation body corresponding to each shooting point, respectively determine the mean porosity of the dam accumulation body corresponding to each column of shooting points; The average porosity of the dam deposit at a row of shooting points corresponding to the dam top surface is taken as the porosity of the dam deposit at the dam top surface; The average porosity of the dam accumulation body at the first column of shooting points corresponding to the upstream slope is used as the first porosity of the dam accumulation body on the upstream slope, and the average porosity of the dam accumulation body at the second column of shooting points corresponding to the upstream slope is used as the second porosity of the dam accumulation body on the upstream slope; The calculation formula of the porosity of the dam accumulation body is as follows: In the formula, is the porosity of the dam accumulation body corresponding to the shooting point d at time t, is the value of the i-th black pixel in the image corresponding to the shooting point d, is the image surface pixel corresponding to the shooting point d, is the total number of black pixels in the image.

2. The method according to claim 1, characterized in that The determining the stability of the dam based on the porosity of the dam deposit comprises: Obtaining the porosity of the weir dam accumulation body on the dam top surface at each time within a preset time period, the first porosity, and the second porosity; When the porosity of the dam accumulation body on the dam top surface at each moment is greater than the porosity at the previous moment, and / or the first porosity at each moment is greater than the porosity at the previous moment, and / or the second porosity at each moment is greater than the porosity at the previous moment, the dam is in an unstable state; When the porosity of the dam accumulation body on the dam top surface at each moment is less than the porosity at the previous moment, and / or the first porosity at each moment is less than the porosity at the previous moment, and / or the second porosity at each moment is less than the porosity at the previous moment, the dam is in a stable state.

3. A porosity-based dam stability determination system, characterized in that: include: An acquisition module is used to acquire a photographic image of a dam accumulation body; A first determination module is used to determine the porosity of the dam accumulation body according to the captured image; A second determination module is used to determine the stability of the dam based on the porosity of the dam accumulation body; The step of obtaining the captured image of the dam deposit comprises: Using a drone to photograph the dam accumulation body along a preset route and shooting points to obtain a photographed image of the dam accumulation body; Wherein, the drone is equipped with a camera and a GPS system; The shooting points include: a row of shooting points corresponding to the dam top surface and two rows of shooting points corresponding to the upstream slope surface; Wherein, the horizontal positions of the one column of shooting points corresponding to the dam top surface and the two columns of shooting points corresponding to the upstream slope surface are aligned; The step of determining the porosity of the dam accumulation body according to the captured image comprises: Converting the captured image into a grayscale image using image processing software; Filtering and removing noise from the grayscale image to convert it into a binary image, and performing a de-noising process on the binary image; Comparing the processed binary image with the captured image to eliminate the non-crack black areas that are misidentified; Determining the number of black pixels in the binary image after eliminating recognition errors; Determining the porosity of the dam accumulation body based on the number of the black pixels; The determining the porosity of the dam accumulation body based on the number of black pixels comprises: Based on the number of black pixels in each image, the porosity of the dam accumulation body corresponding to each shooting point is determined respectively; According to the porosity of the dam accumulation body corresponding to each shooting point, respectively determine the mean porosity of the dam accumulation body corresponding to each column of shooting points; The average porosity of the dam deposit at a row of shooting points corresponding to the dam top surface is taken as the porosity of the dam deposit at the dam top surface; The average porosity of the dam accumulation body at the first column of shooting points corresponding to the upstream slope is used as the first porosity of the dam accumulation body on the upstream slope, and the average porosity of the dam accumulation body at the second column of shooting points corresponding to the upstream slope is used as the second porosity of the dam accumulation body on the upstream slope; The calculation formula of the porosity of the dam accumulation body is as follows: In the formula, is the porosity of the dam accumulation body corresponding to the shooting point d at time t, is the value of the i-th black pixel in the image corresponding to the shooting point d, is the image surface pixel corresponding to the shooting point d, is the total number of black pixels in the image.

Images