A method and device for measuring the sediment particle size of the riverbed in mountainous rivers

Abstract

The present disclosure provides a method and device for measuring the sediment particle size of the riverbed in mountainous areas, which relates to the technical field of water conservancy project measurement. The specific implementation scheme is as follows: intercept the first riverbed sediment photo to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; determine a plurality of first sampling points and their sediment type information according to the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; determine the first sediment type proportion information according to the sediment type information of each first sampling point among the plurality of first sampling points; determine a plurality of second sampling points from the plurality of first sampling points, and determine the first sediment grading information according to the plurality of second sampling points; determine the average sediment full particle size grading information of the first mountainous river section according to the first sediment type proportion information and the first sediment grading information, so as to improve the measurement accuracy, data representativeness and reliability of the average sediment full particle size grading information of the riverbed in mountainous areas.

Description

Technical Field

[0001] The present disclosure relates to the technical field of water conservancy project measurement, and particularly to a method and device for measuring the sediment particle size of the riverbed in mountainous areas. Background Art

[0002] With the development of water conservancy project technology, water conservancy project measurement technology has become increasingly important. Measuring the sediment particle size of the riverbed in mountainous areas is one of the key technologies in water conservancy project measurement. The technology for measuring the sediment particle size of the riverbed in mountainous areas is mainly applied to the research and protection of the sediment movement mechanism and the mountain river ecosystem in mountainous areas. In related technologies, due to the spatial heterogeneity of sediment in mountain river reaches, the artificial single-point measurement method cannot represent the overall sediment particle size of mountain river reaches. Summary of the Invention

[0003] The present disclosure provides a method and device for measuring the sediment particle size of the riverbed in mountainous areas.

[0004] According to the first aspect of the embodiments of the present disclosure, a method for measuring the sediment particle size of the riverbed in mountainous areas is provided, including:

[0005] Intercept the first riverbed sediment photo to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; the first riverbed sediment photo is a photo obtained by using a drone to photograph the first mountainous area section; the first left-bank riverbed sediment photo is a photo of the left-bank riverbed of the first mountainous area section intercepted from the first riverbed sediment photo; the first right-bank riverbed sediment photo is a photo of the right-bank riverbed of the first mountainous area section intercepted from the first riverbed sediment photo;

[0006] Determine a plurality of first sampling points and their sediment type information according to the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo;

[0007] Determine the first sediment type proportion information according to the sediment type information of each first sampling point among the plurality of first sampling points;

[0008] Determine a plurality of second sampling points from the plurality of first sampling points, and determine the first sediment grading information according to the plurality of second sampling points;

[0009] Determine the average sediment full particle size grading information of the first mountainous area section according to the first sediment type proportion information and the first sediment grading information.

[0010] According to the second aspect of the embodiments of the present disclosure, a device for measuring the sediment particle size of the riverbed in mountainous areas is provided, including:

[0011] A cropping module for cropping the first riverbed sediment photo to obtain a first left-bank riverbed sediment photo and a first right-bank riverbed sediment photo; the first riverbed sediment photo is a photo obtained by using a drone to photograph a first mountainous river section; the first left-bank riverbed sediment photo is a photo of the left-bank riverbed of the first mountainous river section cropped from the first riverbed sediment photo; the first right-bank riverbed sediment photo is a photo of the right-bank riverbed of the first mountainous river section cropped from the first riverbed sediment photo;

[0012] A first determination module for determining a plurality of first sampling points and their sediment type information according to the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo;

[0013] A second determination module for determining first sediment type proportion information according to the sediment type information of each first sampling point among the plurality of first sampling points;

[0014] A third determination module for determining a plurality of second sampling points from the plurality of first sampling points and determining first sediment grading information according to the plurality of second sampling points;

[0015] A fourth determination module for determining the average sediment full particle size grading information of the first mountainous river section according to the first sediment type proportion information and the first sediment grading information.

[0016] According to a third aspect of the embodiments of the present disclosure, there is provided an electronic device, including:

[0017] At least one processor; and

[0018] A memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method of the first aspect above.

[0020] According to a fourth aspect of the embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method of the first aspect above.

[0021] According to a fifth aspect of the embodiments of the present disclosure, there is provided a computer program product including a computer program, and the computer program implements the steps of any one of the methods in the first aspect above when executed by a processor.

[0022] The technical solution of the present disclosure intercepts the first riverbed sediment photo to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; the first riverbed sediment photo is a photo obtained by using an unmanned aerial vehicle to photograph the first mountainous river section; the first left-bank riverbed sediment photo is a photo of the left-bank riverbed of the first mountainous river section intercepted from the first riverbed sediment photo; the first right-bank riverbed sediment photo is a photo of the right-bank riverbed of the first mountainous river section intercepted from the first riverbed sediment photo; according to the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo, a plurality of first sampling points and their sediment type information are determined; according to the sediment type information of each first sampling point among the plurality of first sampling points, the first sediment type proportion information is determined; a plurality of second sampling points are determined from the plurality of first sampling points, and according to the plurality of second sampling points, the first sediment gradation information is determined; according to the first sediment type proportion information and the first sediment gradation information, the average sediment full particle size gradation information of the first mountainous river section is determined, which can reduce the influence of the spatial heterogeneity of sediment in the mountainous river section on the measurement of the average sediment full particle size gradation information, so as to improve the measurement accuracy, data representativeness and reliability of the average sediment full particle size gradation information of the mountainous riverbed.

[0023] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it used to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings are used to better understand the solution and do not constitute a limitation to the present disclosure. Among them:

[0025] Figure 1 is a flowchart of a method for measuring the sediment particle size of a mountainous riverbed according to an embodiment of the present disclosure;

[0026] Figure 2 is a flowchart of a method for measuring the sediment particle size of a mountainous riverbed according to an embodiment of the present disclosure;

[0027] Figure 3 is a flowchart of a method for measuring the sediment particle size of a mountainous riverbed according to an embodiment of the present disclosure;

[0028] Figure 4 is a flowchart of a method for measuring the sediment particle size of a mountainous riverbed according to an embodiment of the present disclosure;

[0029] Figure 5 is a flowchart of a method for measuring the sediment particle size of a mountainous riverbed according to an embodiment of the present disclosure;

[0030] Figure 6It is a block diagram of a device for measuring the sediment particle size of the riverbed in mountainous areas according to an embodiment of the present disclosure;

[0031] Figure 7 It is a block diagram of an electronic device according to an embodiment of the present disclosure. Specific embodiments

[0032] The following describes exemplary embodiments of the present disclosure with reference to the accompanying drawings. Various details of the embodiments of the present disclosure are included to assist in understanding, and they should be considered merely exemplary. Therefore, those of ordinary skill in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0033] It should be noted that in the technical solution of the present disclosure, the collection, storage, use, processing, transmission, provision, and disclosure of user personal information comply with the provisions of relevant laws and regulations and do not violate public order and good customs.

[0034] Figure 1 It is a flowchart of a method for measuring the sediment particle size of the riverbed in mountainous areas according to an embodiment of the present disclosure as Figure 1 shown. The method for measuring the sediment particle size of the riverbed in mountainous areas includes, but is not limited to, the following steps:

[0035] In step S101, the first riverbed sediment photo is intercepted to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo.

[0036] It should be noted that in some embodiments, the first riverbed sediment photo is a photo obtained by using a drone to photograph the first river section; the first left-bank riverbed sediment photo is a photo of the left-bank riverbed of the first river section intercepted from the first riverbed sediment photo; the first right-bank riverbed sediment photo is a photo of the right-bank riverbed of the first river section intercepted from the first riverbed sediment photo.

[0037] Optionally, in some embodiments, the river section length of the first river section is 10 times the river section width of the first river section.

[0038] It should be noted that in some embodiments, the riverbed is photographed by the oblique photography method and the riverbed photo is processed by the orthographic projection method, so that the three-dimensional terrain can be projected onto the two-dimensional plane, reducing the influence of the terrain environment on the riverbed photo and improving the clarity of the riverbed plane shape, so as to improve the measurement accuracy of the riverbed sediment particle size.

[0039] Optionally, in some embodiments, an orthographic projection method is used to perform image processing on the riverbed sediment photos obtained by the oblique photography method to obtain the first riverbed sediment photos; the first riverbed sediment photos are intercepted to obtain the first left-bank riverbed sediment photos and the first right-bank riverbed sediment photos. Exemplarily, a drone uses the oblique photography method to photograph the riverbed of the first river section to obtain intermediate riverbed sediment photos with a photo overlap rate greater than 70%; the orthographic projection method is used to perform image processing on the intermediate riverbed sediment photos to obtain the first riverbed sediment photos; the first riverbed sediment photos are intercepted to obtain the first left-bank riverbed sediment photos and the first right-bank riverbed sediment photos.

[0040] In step S102, based on the first left-bank riverbed sediment photos and the first right-bank riverbed sediment photos, a plurality of first sampling points and their sediment type information are determined.

[0041] Optionally, in some embodiments, a plurality of first sampling points are determined at equal distances on the left-bank riverbed of the first river section according to the first left-bank riverbed sediment photos; a plurality of first sampling points are determined at equal distances on the right-bank riverbed of the first river section according to the first right-bank riverbed sediment photos; for each first sampling point among the plurality of first sampling points, the first left-bank riverbed sediment photos and the first right-bank riverbed sediment photos are intercepted to obtain the sampling point sediment photos corresponding to the first sampling point; based on a preset image classification model, the sampling point sediment photos corresponding to each first sampling point among the plurality of first sampling points are classified to obtain the sediment type information of each first sampling point among the plurality of first sampling points.

[0042] Optionally, in some embodiments, the number of the plurality of first sampling points located on the left-bank riverbed of the first river section is greater than or equal to 30; the number of the plurality of first sampling points located on the right-bank riverbed of the first river section is greater than or equal to 30.

[0043] Optionally, in some embodiments, the sediment type information of the first sampling point includes, but is not limited to, any one of the following: fine sand, coarse sand, non-sediment.

[0044] It should be noted that, in some embodiments, the first picture scale information includes the riverbed surface size information corresponding to each pixel in the first left-bank riverbed sediment photos and the first right-bank riverbed sediment photos. Based on the first left-bank riverbed sediment photos and the first right-bank riverbed sediment photos, the first picture scale information is determined to facilitate determining the sediment type information of each first sampling point under a unified scale.

[0045] Exemplarily, based on the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo, determine the first picture scale information; for each first sampling point among the multiple first sampling points, intercept the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo to obtain the sampling point sediment photo corresponding to this first sampling point; classify the sampling point sediment photos corresponding to each first sampling point among the multiple first sampling points based on a preset image classification model to obtain the first image classification result; perform scale transformation on the first image classification result based on the first picture scale information to obtain the sediment type information of each first sampling point among the multiple first sampling points.

[0046] For example, the first picture scale information is five centimeters, that is to say, each pixel in the first left-bank riverbed sediment photo corresponds to a ground area with a side length of five centimeters.

[0047] In step S103, determine the first sediment type proportion information according to the sediment type information of each first sampling point among the multiple first sampling points.

[0048] Optionally, in some embodiments, the first sediment type proportion information includes but is not limited to the first left-bank sediment type proportion information and the first right-bank sediment type proportion information; determine the first left-bank sediment type proportion information according to the sediment type information of each first sampling point among the multiple first sampling points located on the left-bank riverbed; determine the first right-bank sediment type proportion information according to the sediment type information of each first sampling point among the multiple first sampling points located on the right-bank riverbed.

[0049] In step S104, determine multiple second sampling points from the multiple first sampling points, and determine the first sediment grading information according to the multiple second sampling points.

[0050] Optionally, in some embodiments, the first sediment grading information includes but is not limited to the first fine sand grading information and the first coarse sand grading information.

[0051] Optionally, in some embodiments, determine multiple second sampling points with fine sand sediment type information from the multiple first sampling points located on the left-bank riverbed; determine multiple second sampling points with fine sand sediment type information from the multiple first sampling points located on the right-bank riverbed; determine the first fine sand grading information according to the multiple second sampling points with fine sand sediment type information.

[0052] Optionally, in some embodiments, determine multiple second sampling points with coarse sand sediment type information from the multiple first sampling points located on the left-bank riverbed; determine multiple second sampling points with coarse sand sediment type information from the multiple first sampling points located on the right-bank riverbed; determine the first coarse sand grading information according to the multiple second sampling points with coarse sand sediment type information.

[0053] In step S105, based on the first sediment type proportion information and the first sediment gradation information, determine the average sediment full particle size gradation information of the first river section.

[0054] Optionally, in some embodiments, perform a linear weighting calculation on the first sediment gradation information based on the first sediment type proportion information to obtain the average sediment full particle size gradation information of the first river section.

[0055] In the embodiments of the present disclosure, intercept the first riverbed sediment photo to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; the first riverbed sediment photo is a photo obtained by using a drone to photograph the first mountainous river section; the first left-bank riverbed sediment photo is a photo of the left-bank riverbed of the first mountainous river section intercepted from the first riverbed sediment photo; the first right-bank riverbed sediment photo is a photo of the right-bank riverbed of the first mountainous river section intercepted from the first riverbed sediment photo; determine a plurality of first sampling points and their sediment type information according to the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; determine the first sediment type proportion information according to the sediment type information of each first sampling point among the plurality of first sampling points; determine a plurality of second sampling points from the plurality of first sampling points, and determine the first sediment gradation information according to the plurality of second sampling points; determine the average sediment full particle size gradation information of the first mountainous river section according to the first sediment type proportion information and the first sediment gradation information, which can reduce the influence of the spatial heterogeneity of sediment in the mountainous river section on the measurement of the average sediment full particle size gradation information, so as to improve the measurement accuracy, data representativeness and reliability of the average sediment full particle size gradation information of the mountainous riverbed.

[0056] It should be noted that, in some embodiments, the first sediment type proportion information includes the first left-bank fine sand proportion information, the first left-bank coarse sand proportion information, the first right-bank fine sand proportion information, and the first right-bank coarse sand proportion information. Figure 2 It is a flowchart of a method for measuring the sediment particle size of a mountainous riverbed according to an embodiment of the present disclosure. As Figure 2 shown, the method for measuring the sediment particle size of a mountainous riverbed includes, but is not limited to, the following steps:

[0057] In step S201, intercept the first riverbed sediment photo to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo.

[0058] In the embodiments of the present disclosure, step S201 can be implemented in any one of the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be elaborated further.

[0059] In step S202, determine a plurality of first sampling points and their sediment type information according to the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo.

[0060] In an embodiment of the present disclosure, step S202 can be implemented in any one of the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be described in detail again.

[0061] In step S203, according to the sediment type information of each first sampling point among the multiple first sampling points, determine the first left-bank fine sand proportion information, the first left-bank coarse sand proportion information, the first right-bank fine sand proportion information, and the first right-bank coarse sand proportion information.

[0062] It should be noted that in some embodiments, the multiple first sampling points include multiple first left-bank sampling points and multiple first right-bank sampling points.

[0063] Optionally, in some embodiments, perform a summation process on the quantity information of the first left-bank sampling points with fine sand sediment type information and the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points to obtain the first quantity information; according to the first quantity information, the quantity information of the first left-bank sampling points with fine sand sediment type information, and the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points, determine the first left-bank fine sand proportion information and the first left-bank coarse sand proportion information.

[0064] Exemplarily, the first left-bank fine sand proportion information is the ratio of the quantity information of the first left-bank sampling points with fine sand sediment type information among the multiple first left-bank sampling points to the first quantity information; the first left-bank coarse sand proportion information is the ratio of the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points to the first quantity information.

[0065] For example, the first left-bank fine sand proportion information can be calculated by the following formula (1):

[0066]

[0067] where R 左岸细沙 refers to the first left-bank fine sand proportion information; N 左岸细沙 refers to the quantity information of the first left-bank sampling points with fine sand sediment type information among the multiple first left-bank sampling points; N 左岸粗沙 refers to the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points.

[0068] For example, the first left-bank coarse sand proportion information can be calculated by the following formula (2):

[0069]

[0070] where R 左岸粗沙refers to the first left-bank fine sand proportion information; N 左岸细沙 refers to the quantity information of the first left-bank sampling points with fine sand as the sediment type information among multiple first left-bank sampling points; N 左岸粗沙 refers to the quantity information of the first left-bank sampling points with coarse sand as the sediment type information among multiple first left-bank sampling points.

[0071] It should be noted that in some embodiments, the first right-bank fine sand proportion information is the ratio of the quantity information of the first right-bank sampling points with fine sand as the sediment type information among multiple first right-bank sampling points to the second quantity information; the first right-bank coarse sand proportion information is the ratio of the quantity information of the first right-bank sampling points with coarse sand as the sediment type information among multiple first right-bank sampling points to the second quantity information.

[0072] Optionally, in some embodiments, the quantity information of the first right-bank sampling points with fine sand as the sediment type information and the quantity information of the first right-bank sampling points with coarse sand as the sediment type information among multiple first right-bank sampling points are summed to obtain the second quantity information; based on the second quantity information, the quantity information of the first right-bank sampling points with fine sand as the sediment type information and the quantity information of the first right-bank sampling points with coarse sand as the sediment type information among multiple first right-bank sampling points, the first right-bank fine sand proportion information and the first right-bank coarse sand proportion information are determined.

[0073] For example, the first right-bank fine sand proportion information can be calculated by the following formula (3):

[0074]

[0075] where R 右岸细沙 refers to the first right-bank fine sand proportion information; N 右岸细沙 refers to the quantity information of the first left-bank sampling points with fine sand as the sediment type information among multiple first right-bank sampling points; N 右岸粗沙 refers to the quantity information of the first right-bank sampling points with coarse sand as the sediment type information among multiple first right-bank sampling points.

[0076] For example, the first right-bank coarse sand proportion information can be calculated by the following formula (4):

[0077]

[0078] where R 右岸细沙 refers to the first right-bank fine sand proportion information; N 右岸细沙 refers to the quantity information of the first right-bank sampling points with fine sand as the sediment type information among multiple first right-bank sampling points; N 右岸粗沙 refers to the quantity information of the first right-bank sampling points with coarse sand as the sediment type information among multiple first right-bank sampling points.

[0079] In step S204, a plurality of second sampling points are determined from the plurality of first sampling points, and first sediment grading information is determined based on the plurality of second sampling points.

[0080] In an embodiment of the present disclosure, step S204 can be implemented in any one of the embodiments of the present disclosure, and the embodiments of the present disclosure do not limit this and will not be elaborated further.

[0081] In step S205, based on the first sediment type proportion information and the first sediment grading information, the average sediment full particle size grading information of the first river section is determined.

[0082] In an embodiment of the present disclosure, step S205 can be implemented in any one of the embodiments of the present disclosure, and the embodiments of the present disclosure do not limit this and will not be elaborated further.

[0083] In an embodiment of the present disclosure, based on the sediment type information of each first sampling point among the plurality of first sampling points, the first left bank fine sand proportion information, the first left bank coarse sand proportion information, the first right bank fine sand proportion information, and the first right bank coarse sand proportion information are determined. In this way, based on the first left bank fine sand proportion information, the first left bank coarse sand proportion information, the first right bank fine sand proportion information, the first right bank coarse sand proportion information, and the first sediment grading information, the average sediment full particle size grading information of the first river section can be determined, so as to improve the measurement accuracy, data representativeness, and reliability of the average sediment full particle size grading information of the mountain river riverbed.

[0084] Figure 3 is a flowchart of a method for measuring the sediment particle size of a mountain river riverbed provided according to an embodiment of the present disclosure as Figure 3 shown. The method for measuring the sediment particle size of a mountain river riverbed includes, but is not limited to, the following steps:

[0085] In step S301, the first riverbed sediment photo is intercepted to obtain a first left bank riverbed sediment photo and a first right bank riverbed sediment photo.

[0086] In an embodiment of the present disclosure, step S301 can be implemented in any one of the embodiments of the present disclosure, and the embodiments of the present disclosure do not limit this and will not be elaborated further.

[0087] In step S302, based on the first left bank riverbed sediment photo and the first right bank riverbed sediment photo, a plurality of first sampling points and their sediment type information are determined.

[0088] In an embodiment of the present disclosure, step S302 can be implemented in any one of the embodiments of the present disclosure, and the embodiments of the present disclosure do not limit this and will not be elaborated further.

[0089] In step S303, according to the sediment type information of each first sampling point among the multiple first sampling points, determine the first sediment type proportion information.

[0090] In the embodiments of the present disclosure, step S303 can be implemented in any one of the embodiments of the present disclosure, and the embodiments of the present disclosure do not limit this and will not be elaborated further.

[0091] In step S304, determine multiple second sampling points from the multiple first sampling points.

[0092] It should be noted that, in some embodiments, the multiple second sampling points include but are not limited to multiple second left-bank sampling points and multiple second right-bank sampling points. Each second left-bank sampling point among the multiple second left-bank sampling points is a sampling point determined from the first sampling points located on the left-bank riverbed. Each second left-bank sampling point among the multiple second right-bank sampling points is a sampling point determined from the first sampling points located on the right-bank riverbed.

[0093] Optionally, in some embodiments, determine multiple first left-bank sampling points and multiple first right-bank sampling points from the multiple first sampling points. Exemplarily, determine three first left-bank sampling points from the multiple first sampling points located on the left-bank riverbed; determine three first right-bank sampling points from the multiple first sampling points located on the right-bank riverbed.

[0094] In step S305, determine whether each second sampling point among the multiple second sampling points meets the first sampling condition.

[0095] Optionally, in some embodiments, in the case where there are second sampling points among the multiple second sampling points that do not meet the first sampling condition, execute step S306; in the case where each second sampling point among the multiple second sampling points meets the first sampling condition, execute step S307.

[0096] Optionally, in some embodiments, the first sampling condition is that there are no potential safety hazards among the multiple second sampling points. Exemplarily, in the case where there are potential safety hazards among the multiple second sampling points, execute step S306; in the case where there are no potential safety hazards for each second sampling point among the multiple second sampling points, execute step S307.

[0097] In step S306, according to the preset uniform distribution model, determine the first fine sand gradation information.

[0098] It should be noted that, in some embodiments, step S306 is optional.

[0099] It should be noted that, in some embodiments, the first fine sand gradation information includes, but is not limited to, the distribution information of each first gradation interval among a plurality of first gradation intervals. In the case where the first sampling condition is not satisfied, the fine sand gradation distribution is determined according to a uniform distribution.

[0100] In step S307, the first fine sand sample information is sieved to determine the first fine sand gradation information.

[0101] It should be noted that, in some embodiments, step S307 is optional.

[0102] It should be noted that, in some embodiments, the first fine sand sample information includes the sediment sample information of each second sampling point among a plurality of second sampling points.

[0103] Optionally, in some embodiments, the first fine sand sample information is sieved based on a preset artificial intelligence model to determine the first fine sand gradation information. Exemplarily, the preset artificial intelligence model is a model that takes the fine sand sample information as input and the fine sand gradation distribution information as output.

[0104] In step S308, based on the first sediment type proportion information and the first sediment gradation information, the average sediment full particle size gradation information of the first river section is determined.

[0105] In the embodiments of the present disclosure, step S308 can be implemented in any one of the embodiments of the present disclosure. The embodiments of the present disclosure do not make any limitations in this regard and will not be elaborated further.

[0106] In the embodiments of the present disclosure, a plurality of second sampling points are determined from a plurality of first sampling points. It is determined whether each second sampling point among the plurality of second sampling points satisfies the first sampling condition. In the case where it is determined that there is a second sampling point among the plurality of second sampling points that does not satisfy the first sampling condition, the first fine sand gradation information is determined according to a preset uniform distribution model; in the case where it is determined that each second sampling point among the plurality of second sampling points satisfies the first sampling condition, the first fine sand sample information is sieved to determine the first fine sand gradation information. This can reduce the influence of the spatial heterogeneity of sediment in the mountain river section on the determination of the first fine sand gradation information, so as to improve the measurement accuracy, data representativeness, and reliability of the average sediment full particle size gradation information of the mountain river bed.

[0107] Figure 4 is a flowchart of a method for measuring the sediment particle size of a mountain river bed provided according to an embodiment of the present disclosure. As Figure 4 shown, the method for measuring the sediment particle size of a mountain river bed includes, but is not limited to, the following steps:

[0108] In step S401, the first riverbed sediment photo is intercepted to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo.

[0109] In the embodiments of the present disclosure, step S401 can be implemented in any one of the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not elaborate further.

[0110] In step S402, based on the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo, a plurality of first sampling points and their sediment type information are determined.

[0111] In the embodiments of the present disclosure, step S402 can be implemented in any one of the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not elaborate further.

[0112] In step S403, based on the sediment type information of each first sampling point among the plurality of first sampling points, the first sediment type proportion information is determined.

[0113] In the embodiments of the present disclosure, step S403 can be implemented in any one of the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not elaborate further.

[0114] In step S404, a plurality of second sampling points are determined from the plurality of first sampling points.

[0115] In the embodiments of the present disclosure, step S404 can be implemented in any one of the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not elaborate further.

[0116] In step S405, the first coarse sand sample information is intercepted from the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo.

[0117] It should be noted that in some embodiments, the first coarse sand sample information includes a plurality of first left-bank coarse sand image information and a plurality of first right-bank coarse sand image information. Each piece of first left-bank coarse sand image information among the plurality of first left-bank coarse sand image information is the image information corresponding to any second left-bank sampling point with the sediment type information being coarse sand; each piece of first right-bank coarse sand image information among the plurality of first right-bank coarse sand image information is the image information corresponding to any second right-bank sampling point with the sediment type information being coarse sand.

[0118] Optionally, in some embodiments, a plurality of first left-bank coarse sand image information is intercepted from the first left-bank riverbed sediment photo; a plurality of first right-bank coarse sand image information is intercepted from the first right-bank riverbed sediment photo.

[0119] In step S406, multiple pieces of first left-bank coarse sand image information are input into a pre-trained sediment measurement model to obtain first left-bank coarse sand grading information.

[0120] Optionally, in some embodiments, the pre-trained sediment measurement model is a model that takes sediment image information as input and sediment grading information as output. Exemplarily, the pre-trained sediment measurement model is a sediment measurement model obtained by training a U-Net model.

[0121] In step S407, multiple pieces of first right-bank coarse sand image information are input into the pre-trained sediment measurement model to obtain first right-bank coarse sand grading information.

[0122] Optionally, in some embodiments, the above steps S406 and S407 can be exchanged in order or executed simultaneously.

[0123] Optionally, in some embodiments, the pre-trained sediment measurement model is a model that takes sediment image information as input and sediment grading information as output. Exemplarily, the pre-trained sediment measurement model is a sediment measurement model obtained by training a U-Net model.

[0124] In step S408, based on the first sediment type proportion information and the first sediment grading information, the average sediment full particle size grading information of the first river section is determined.

[0125] In the embodiments of the present disclosure, step S408 can be implemented in any one of the various embodiments of the present disclosure. The embodiments of the present disclosure do not make any limitations in this regard and will not be elaborated further.

[0126] In the embodiments of the present disclosure, the first coarse sand sample information is intercepted from the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; multiple pieces of first left-bank coarse sand image information are input into the pre-trained sediment measurement model to obtain first left-bank coarse sand grading information; multiple pieces of first right-bank coarse sand image information are input into the pre-trained sediment measurement model to obtain first right-bank coarse sand grading information; based on the first sediment type proportion information and the first sediment grading information, the average sediment full particle size grading information of the first river section is determined. This can further reduce the influence of the spatial heterogeneity of sediment in the mountain river section on the measurement of the average sediment full particle size grading information, so as to further improve the measurement accuracy, data representativeness, and reliability of the average sediment full particle size grading information of the mountain riverbed.

[0127] Figure 5 is a flowchart of a method for measuring the sediment particle size of a mountain riverbed according to an embodiment of the present disclosure. As Figure 5 shown, the method for measuring the sediment particle size of a mountain riverbed includes, but is not limited to, the following steps:

[0128] In step S501, the first riverbed sediment photo is intercepted to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo.

[0129] In the embodiments of the present disclosure, step S501 can be implemented in any one of the ways in the respective embodiments of the present disclosure. The embodiments of the present disclosure do not make any limitations in this regard and will not be elaborated further.

[0130] In step S502, based on the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo, multiple first sampling points and their sediment type information are determined.

[0131] In the embodiments of the present disclosure, step S502 can be implemented in any one of the ways in the respective embodiments of the present disclosure. The embodiments of the present disclosure do not make any limitations in this regard and will not be elaborated further.

[0132] In step S503, based on the sediment type information of each first sampling point among the multiple first sampling points, the first sediment type proportion information is determined.

[0133] In the embodiments of the present disclosure, step S503 can be implemented in any one of the ways in the respective embodiments of the present disclosure. The embodiments of the present disclosure do not make any limitations in this regard and will not be elaborated further.

[0134] In step S504, multiple second sampling points are determined from the multiple first sampling points, and based on the multiple second sampling points, the first sediment grading information is determined.

[0135] In the embodiments of the present disclosure, step S504 can be implemented in any one of the ways in the respective embodiments of the present disclosure. The embodiments of the present disclosure do not make any limitations in this regard and will not be elaborated further.

[0136] In step S505, based on the first fine sand proportion information and the first coarse sand proportion information of the left bank, a linear weighted calculation is performed on the first fine sand grading information and the first coarse sand grading information of the left bank to obtain the left-bank sediment full-particle-size grading information of the first river section.

[0137] For example, the left-bank sediment full-particle-size grading information of the first river section can be calculated by the following formula (5):

[0138] D 左 =ω 左细 *d 左细 +ω 左粗 *d 左粗 (5)

[0139] Where D 左 refers to the left-bank sediment full-particle-size grading information of the first river section; ω 左细refers to the first left-bank fine sand proportion information; d 左细 refers to the first left-bank fine sand gradation information; ω 左粗 refers to the first left-bank coarse sand proportion information; d 左粗 refers to the first left-bank coarse sand gradation information.

[0140] In step S506, based on the first right-bank fine sand proportion information and the first right-bank coarse sand proportion information, a linear weighted calculation is performed on the first right-bank fine sand gradation information and the first right-bank coarse sand gradation information to obtain the right-bank sediment full-particle-size gradation information of the first river reach.

[0141] For example, the right-bank sediment full-particle-size gradation information of the first river reach can be calculated by the following formula (6):

[0142] D 右 = ω 右细 * d 右细 + ω 右粗 * d 右粗 (6)

[0143] where D 右 refers to the right-bank sediment full-particle-size gradation information of the first river reach; ω 右细 refers to the first right-bank fine sand proportion information; d 右细 refers to the first right-bank fine sand gradation information; ω 右粗 refers to the first right-bank coarse sand proportion information; d 右粗 refers to the first right-bank coarse sand gradation information.

[0144] In step S507, an averaging process is performed on the left-bank sediment full-particle-size gradation information and the right-bank sediment full-particle-size gradation information of the first river reach to obtain the average sediment full-particle-size gradation information of the first river reach.

[0145] In the embodiments of the present disclosure, based on the first left-bank fine sand proportion information and the first left-bank coarse sand proportion information, a linear weighted calculation is performed on the first left-bank fine sand gradation information and the first left-bank coarse sand gradation information to obtain the left-bank sediment full-particle-size gradation information of the first river reach. Based on the first right-bank fine sand proportion information and the first right-bank coarse sand proportion information, a linear weighted calculation is performed on the first right-bank fine sand gradation information and the first right-bank coarse sand gradation information to obtain the right-bank sediment full-particle-size gradation information of the first river reach. An averaging process is performed on the left-bank sediment full-particle-size gradation information and the right-bank sediment full-particle-size gradation information of the first river reach to obtain the average sediment full-particle-size gradation information of the first river reach, which can further improve the data representativeness and reliability of the average sediment full-particle-size gradation information of the mountain river bed.

[0146] Figure 6 is a block diagram of a device for measuring the sediment particle size of a mountain river bed according to an embodiment of the present disclosure. As Figure 6As shown, the device for measuring the sediment particle size of the riverbed in mountainous areas includes, but is not limited to: an interception module 601, a first determination module 602, a second determination module 603, a third determination module 604, and a fourth determination module 605.

[0147] Among them, the interception module 601 is used to intercept the first riverbed sediment photo to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; the first riverbed sediment photo is a photo obtained by using a drone to photograph the first river section; the first left-bank riverbed sediment photo is a photo of the left-bank riverbed of the first river section intercepted from the first riverbed sediment photo; the first right-bank riverbed sediment photo is a photo of the right-bank riverbed of the first river section intercepted from the first riverbed sediment photo;

[0148] The first determination module 602 is used to determine multiple first sampling points and their sediment type information according to the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo;

[0149] The second determination module 603 is used to determine the first sediment type proportion information according to the sediment type information of each first sampling point among the multiple first sampling points;

[0150] The third determination module 604 is used to determine multiple second sampling points from the multiple first sampling points and determine the first sediment grading information according to the multiple second sampling points;

[0151] The fourth determination module 605 is used to determine the average sediment full particle size grading information of the first river section according to the first sediment type proportion information and the first sediment grading information.

[0152] As an example, the first sediment type proportion information in the second determination module 603 includes the first left-bank fine sand proportion information, the first left-bank coarse sand proportion information, the first right-bank fine sand proportion information, and the first right-bank coarse sand proportion information. The second determination module 603 is specifically used to determine the first left-bank fine sand proportion information, the first left-bank coarse sand proportion information, the first right-bank fine sand proportion information, and the first right-bank coarse sand proportion information according to the sediment type information of each first sampling point among the multiple first sampling points.

[0153] As an example, the multiple first sampling points in the second determination module 603 include multiple first left-bank sampling points and multiple first right-bank sampling points. The second determination module 603 is specifically configured to sum the quantity information of the first left-bank sampling points with fine sand sediment type information and the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points to obtain first quantity information; determine first left-bank fine sand proportion information and first left-bank coarse sand proportion information according to the first quantity information, the quantity information of the first left-bank sampling points with fine sand sediment type information, and the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points; the first left-bank fine sand proportion information is the ratio of the quantity information of the first left-bank sampling points with fine sand sediment type information among the multiple first left-bank sampling points to the first quantity information; the first left-bank coarse sand proportion information is the ratio of the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points to the first quantity information; sum the quantity information of the first right-bank sampling points with fine sand sediment type information and the quantity information of the first right-bank sampling points with coarse sand sediment type information among the multiple first right-bank sampling points to obtain second quantity information; determine first right-bank fine sand proportion information and first right-bank coarse sand proportion information according to the second quantity information, the quantity information of the first right-bank sampling points with fine sand sediment type information, and the quantity information of the first right-bank sampling points with coarse sand sediment type information among the multiple first right-bank sampling points; the first right-bank fine sand proportion information is the ratio of the quantity information of the first right-bank sampling points with fine sand sediment type information among the multiple first right-bank sampling points to the second quantity information; the first right-bank coarse sand proportion information is the ratio of the quantity information of the first right-bank sampling points with coarse sand sediment type information among the multiple first right-bank sampling points to the second quantity information.

[0154] As an example, the first sediment gradation information in the third determination module 604 includes first fine sand gradation information. The third determination module 604 is specifically configured to determine whether each of the multiple second sampling points meets the first sampling condition; in the case of determining that there are second sampling points among the multiple second sampling points that do not meet the first sampling condition, determine the first fine sand gradation information according to a preset uniform distribution model; in the case of determining that each of the multiple second sampling points meets the first sampling condition, screen the first fine sand sample information to determine the first fine sand gradation information; the first fine sand sample information includes the sediment sample information of each of the multiple second sampling points.

[0155] As an example, the multiple second sampling points in the third determination module 604 include multiple second left-bank sampling points and multiple second right-bank sampling points; the first fine sand sample information includes first left-bank fine sand sample information and first right-bank fine sand sample information; the first fine sand grading information includes first left-bank fine sand grading information and first right-bank fine sand grading information. The third determination module 604 is further configured to screen the first left-bank fine sand sample information to determine the first left-bank fine sand grading information; the first left-bank fine sand sample information includes the sample information corresponding to any second left-bank sampling point whose sediment type information is fine sand among the multiple second sampling points; screen the first right-bank fine sand sample information to determine the first right-bank fine sand grading information; the first right-bank fine sand sample information includes the sample information corresponding to any second right-bank sampling point whose sediment type information is fine sand among the multiple second sampling points.

[0156] As an example, the multiple second sampling points in the third determination module 604 include multiple second left-bank sampling points and multiple second right-bank sampling points. The third determination module 604 is further configured to intercept the first coarse sand sample information from the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; the first coarse sand sample information includes multiple first left-bank coarse sand image information and multiple first right-bank coarse sand image information; each piece of the multiple first left-bank coarse sand image information is the image information corresponding to any second left-bank sampling point whose sediment type information is coarse sand; each piece of the multiple first right-bank coarse sand image information is the image information corresponding to any second right-bank sampling point whose sediment type information is coarse sand; input the multiple first left-bank coarse sand image information into a pre-trained sediment measurement model to obtain the first left-bank coarse sand grading information; input the multiple first right-bank coarse sand image information into the pre-trained sediment measurement model to obtain the first right-bank coarse sand grading information; the pre-trained sediment measurement model is a model that takes sediment image information as input and sediment grading information as output.

[0157] As an example, the first sediment type proportion information in the fourth determination module 605 includes the first left-bank fine sand proportion information, the first left-bank coarse sand proportion information, the first right-bank fine sand proportion information, and the first right-bank coarse sand proportion information; the first sediment grading information includes the first left-bank fine sand grading information, the first right-bank fine sand grading information, the first left-bank coarse sand grading information, and the first right-bank coarse sand grading information. The fourth determination module 605 is further configured to perform a linear weighting calculation on the first left-bank fine sand grading information and the first left-bank coarse sand grading information based on the first left-bank fine sand proportion information and the first left-bank coarse sand proportion information to obtain the full-particle-size grading information of the left-bank sediment in the first river section; perform a linear weighting calculation on the first right-bank fine sand grading information and the first right-bank coarse sand grading information based on the first right-bank fine sand proportion information and the first right-bank coarse sand proportion information to obtain the full-particle-size grading information of the right-bank sediment in the first river section; and perform an averaging process on the full-particle-size grading information of the left-bank sediment and the full-particle-size grading information of the right-bank sediment in the first river section to obtain the average full-particle-size grading information of the sediment in the first river section.

[0158] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0159] According to the embodiments of the present disclosure, the present disclosure also provides an electronic device, a storage medium, and a computer program product.

[0160] Figure 7 is a block diagram of an electronic device provided according to an embodiment of the present disclosure. The electronic device is intended to represent various forms of digital computers, such as, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, a personal digital processor, a cellular phone, a smart phone, a wearable device, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0161] Such as Figure 7As shown, the electronic device includes: one or more processors 701, a memory 702, and interfaces for connecting the components, including a high-speed interface and a low-speed interface. Each component is interconnected using different buses and can be mounted on a common motherboard or otherwise installed as required. The processor can process instructions executed within the electronic device, including instructions stored in the memory or on the memory for displaying graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In other embodiments, if necessary, multiple processors and / or multiple buses can be used with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, with each device providing part of the necessary operations (e.g., as a server array, a set of blade servers, or a multi-processor system). Figure 7 In the figure, one processor 701 is taken as an example.

[0162] The memory 702 is the non-transitory computer-readable storage medium provided by the present disclosure. Among them, the memory stores instructions executable by at least one processor, so that the at least one processor executes the method provided by the present disclosure for measuring the sediment particle size of the mountain river bed. The non-transitory computer-readable storage medium of the present disclosure stores computer instructions, and the computer instructions are used to cause a computer to execute the method provided by the present disclosure for measuring the sediment particle size of the mountain river bed.

[0163] As a non-transitory computer-readable storage medium, the memory 702 can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the method for measuring the sediment particle size of the mountain river bed in the embodiments of the present disclosure (for example, the Figure 6 intercepting module 601, the first determination module 602, the second determination module 603, the third determination module 604, and the fourth determination module 605 shown). By running the non-transitory software programs, instructions, and modules stored in the memory 702, the processor 701 executes various functional applications and data processing of the server, that is, implements the method for measuring the sediment particle size of the mountain river bed in the above method embodiments.

[0164] The memory 702 may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function. The data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 702 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory 702 may optionally include a memory remotely provided with respect to the processor 701, and these remote memories may be connected to the electronic device through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0165] The electronic device may further include: an input device 703 and an output device 704. The processor 701, the memory 702, the input device 703, and the output device 704 may be connected through a bus or other means. Figure 7 Taking connection through a bus as an example.

[0166] The input device 703 may receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the electronic device, such as input devices like a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 704 may include a display device, an auxiliary lighting device (e.g., an LED), and a haptic feedback device (e.g., a vibration motor), etc. The display device may include but is not limited to a liquid crystal display (LCD), a light-emitting diode (LED) display, and a plasma display. In some embodiments, the display device may be a touch screen.

[0167] Optionally, in some embodiments, a computer program product is also provided, including a computer program, which when executed by one or more processors 701, can implement the method for measuring the sediment particle size of the mountain river bed provided by the embodiments of the present disclosure.

[0168] Various embodiments of the systems and techniques described herein may be implemented in digital electronic circuit systems, integrated circuit systems, dedicated ASICs (application-specific integrated circuits), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs can be executed and / or interpreted on a programmable system including at least one programmable processor, the programmable processor may be a dedicated or general-purpose programmable processor, and can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0169] These computing procedures (also known as programs, software, software applications, or code) include machine instructions for a programmable processor and can implement these computing procedures using high-level procedures and / or object-oriented programming languages and / or assembly / machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, device, and / or apparatus (e.g., a magnetic disk, an optical disk, a memory, a programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

[0170] In order to provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, speech input, or tactile input).

[0171] The systems and techniques described herein can be implemented in a computing system including a backend component (e.g., as a data server), or a computing system including a middleware component (e.g., an application server), or a computing system including a frontend component (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), the Internet, and blockchain networks.

[0172] A computer system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The relationship between the client and the server is created by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0173] It should be understood that various forms of processes shown above can be used, steps can be reordered, added or deleted. For example, the steps recited in the present disclosure can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and no limitations are imposed herein.

[0174] The above specific embodiments do not constitute a limitation on the protection scope of the present disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present disclosure shall be included within the protection scope of the present disclosure.

Claims

1. A method for measuring the sediment particle size of the riverbed in mountainous rivers, characterized in that, Including the following steps: Intercept the first riverbed sediment photo to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; the first riverbed sediment photo is a photo obtained by using a drone to photograph the first mountainous river section; the first left-bank riverbed sediment photo is a photo of the left-bank riverbed of the first mountainous river section intercepted from the first riverbed sediment photo; the first right-bank riverbed sediment photo is a photo of the right-bank riverbed of the first mountainous river section intercepted from the first riverbed sediment photo; Based on the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo, determine multiple first sampling points and their sediment type information; Based on the sediment type information of each of the multiple first sampling points, determine the first sediment type proportion information; Determine multiple second sampling points from the multiple first sampling points, and based on the multiple second sampling points, determine the first sediment gradation information; Based on the first sediment type proportion information and the first sediment gradation information, determine the average sediment full particle size gradation information of the first mountainous river section; Among them, the first sediment type proportion information includes the first left-bank fine sand proportion information, the first left-bank coarse sand proportion information, the first right-bank fine sand proportion information, and the first right-bank coarse sand proportion information; the first sediment gradation information includes the first left-bank fine sand gradation information, the first right-bank fine sand gradation information, the first left-bank coarse sand gradation information, and the first right-bank coarse sand gradation information; the step of determining the average sediment full particle size gradation information of the first mountainous river section based on the first sediment type proportion information and the first sediment gradation information includes: Perform linear weighted calculation on the first left-bank fine sand gradation information and the first left-bank coarse sand gradation information based on the first left-bank fine sand proportion information and the first left-bank coarse sand proportion information to obtain the left-bank sediment full particle size gradation information of the first mountainous river section; Perform linear weighted calculation on the first right-bank fine sand gradation information and the first right-bank coarse sand gradation information based on the first right-bank fine sand proportion information and the first right-bank coarse sand proportion information to obtain the right-bank sediment full particle size gradation information of the first mountainous river section; Perform an averaging process on the left-bank sediment full particle size gradation information and the right-bank sediment full particle size gradation information of the first mountainous river section to obtain the average sediment full particle size gradation information of the first mountainous river section.

2. The method according to claim 1, wherein The first sediment type proportion information includes the first left-bank fine sand proportion information, the first left-bank coarse sand proportion information, the first right-bank fine sand proportion information, and the first right-bank coarse sand proportion information; The step of determining the first sediment type proportion information based on the sediment type information of each of the multiple first sampling points includes: Based on the sediment type information of each of the multiple first sampling points, determine the first left-bank fine sand proportion information, the first left-bank coarse sand proportion information, the first right-bank fine sand proportion information, and the first right-bank coarse sand proportion information.

3. The method according to claim 2, wherein The multiple first sampling points include multiple first left-bank sampling points and multiple first right-bank sampling points; determining the first left-bank fine sand proportion information, the first left-bank coarse sand proportion information, the first right-bank fine sand proportion information, and the first right-bank coarse sand proportion information according to the sediment type information of each of the multiple first sampling points includes: Performing a summation process on the quantity information of the first left-bank sampling points with fine sand sediment type information and the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points to obtain first quantity information; Determining the first left-bank fine sand proportion information and the first left-bank coarse sand proportion information according to the first quantity information, the quantity information of the first left-bank sampling points with fine sand sediment type information, and the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points; the first left-bank fine sand proportion information is the ratio of the quantity information of the first left-bank sampling points with fine sand sediment type information among the multiple first left-bank sampling points to the first quantity information; the first left-bank coarse sand proportion information is the ratio of the quantity information of the first left-bank sampling points with coarse sand sediment type information among the multiple first left-bank sampling points to the first quantity information; Performing a summation process on the quantity information of the first right-bank sampling points with fine sand sediment type information and the quantity information of the first right-bank sampling points with coarse sand sediment type information among the multiple first right-bank sampling points to obtain second quantity information; Determining the first right-bank fine sand proportion information and the first right-bank coarse sand proportion information according to the second quantity information, the quantity information of the first right-bank sampling points with fine sand sediment type information, and the quantity information of the first right-bank sampling points with coarse sand sediment type information among the multiple first right-bank sampling points; the first right-bank fine sand proportion information is the ratio of the quantity information of the first right-bank sampling points with fine sand sediment type information among the multiple first right-bank sampling points to the second quantity information; the first right-bank coarse sand proportion information is the ratio of the quantity information of the first right-bank sampling points with coarse sand sediment type information among the multiple first right-bank sampling points to the second quantity information.

4. The method according to claim 1, characterized in that, The first sediment grading information includes first fine sand grading information; determining multiple second sampling points from the multiple first sampling points and determining the first sediment grading information according to the multiple second sampling points includes any one or more of the following: Determining whether each of the multiple second sampling points meets a first sampling condition; In the case where it is determined that there are second sampling points among the multiple second sampling points that do not meet the first sampling condition, determining the first fine sand grading information according to a preset uniform distribution model; In the case where it is determined that each of the multiple second sampling points meets the first sampling condition, screening the first fine sand sample information to determine the first fine sand grading information; The first fine sand sample information includes the sediment sample information of each of the multiple second sampling points.

5. The method according to claim 4, characterized in that, The multiple second sampling points include multiple second left-bank sampling points and multiple second right-bank sampling points; the first fine sand sample information includes first left-bank fine sand sample information and first right-bank fine sand sample information; the first fine sand grading information includes first left-bank fine sand grading information and first right-bank fine sand grading information; Sieving the first fine sand sample information to determine the first fine sand grading information includes: Sieving the first left-bank fine sand sample information to determine the first left-bank fine sand grading information; The first left-bank fine sand sample information includes the sample information corresponding to any second left-bank sampling point whose sediment type information among the multiple second sampling points is fine sand; Sieving the first right-bank fine sand sample information to determine the first right-bank fine sand grading information; the first right-bank fine sand sample information includes the sample information corresponding to any second right-bank sampling point whose sediment type information among the multiple second sampling points is fine sand.

6. The method according to claim 1, wherein The multiple second sampling points include multiple second left-bank sampling points and multiple second right-bank sampling points; the first sediment grading information includes first left-bank coarse sand grading information and first right-bank coarse sand grading information; Determining the first sediment grading information according to the multiple second sampling points includes: Intercepting the first coarse sand sample information from the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; the first coarse sand sample information includes multiple first left-bank coarse sand image information and multiple first right-bank coarse sand image information; each of the multiple first left-bank coarse sand image information is the image information corresponding to any second left-bank sampling point whose sediment type information is coarse sand; each of the multiple first right-bank coarse sand image information is the image information corresponding to any second right-bank sampling point whose sediment type information is coarse sand; Inputting the multiple first left-bank coarse sand image information into a pre-trained sediment measurement model to obtain the first left-bank coarse sand grading information; Inputting the multiple first right-bank coarse sand image information into the pre-trained sediment measurement model to obtain the first right-bank coarse sand grading information; the pre-trained sediment measurement model is a model that takes sediment image information as input and sediment grading information as output.

7. A device for measuring the sediment particle size of the riverbed in mountainous rivers, characterized in that Including: An intercepting module for intercepting the first riverbed sediment photo to obtain the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; The first riverbed sediment photo is a photo obtained by using a drone to photograph the first mountainous river section; the first left-bank riverbed sediment photo is a photo of the left-bank riverbed of the first mountainous river section intercepted from the first riverbed sediment photo; the first right-bank riverbed sediment photo is a photo of the right-bank riverbed of the first mountainous river section intercepted from the first riverbed sediment photo; A first determining module for determining multiple first sampling points and their sediment type information according to the first left-bank riverbed sediment photo and the first right-bank riverbed sediment photo; A second determining module for determining the first sediment type proportion information according to the sediment type information of each of the multiple first sampling points; A third determination module, configured to determine a plurality of second sampling points from the plurality of first sampling points, and determine first sediment gradation information according to the plurality of second sampling points; A fourth determination module, configured to determine the average sediment full-particle-size gradation information of the first mountainous river section according to the first sediment type proportion information and the first sediment gradation information, where the first sediment type proportion information includes first left-bank fine sand proportion information, first left-bank coarse sand proportion information, first right-bank fine sand proportion information, and first right-bank coarse sand proportion information; the first sediment gradation information includes first left-bank fine sand gradation information, first right-bank fine sand gradation information, first left-bank coarse sand gradation information, and first right-bank coarse sand gradation information; perform linear weighted calculation on the first left-bank fine sand gradation information and the first left-bank coarse sand gradation information based on the first left-bank fine sand proportion information and the first left-bank coarse sand proportion information to obtain the left-bank sediment full-particle-size gradation information of the first mountainous river section; perform linear weighted calculation on the first right-bank fine sand gradation information and the first right-bank coarse sand gradation information based on the first right-bank fine sand proportion information and the first right-bank coarse sand proportion information to obtain the right-bank sediment full-particle-size gradation information of the first mountainous river section; perform an averaging process on the left-bank sediment full-particle-size gradation information and the right-bank sediment full-particle-size gradation information of the first mountainous river section to obtain the average sediment full-particle-size gradation information of the first mountainous river section.

8. An electronic device, characterized in that, Comprising: At least one processor; And A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method according to any one of claims 1-6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to execute the method according to any one of claims 1-6.

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