Analysis method and system of river sediment deposition status in water conservancy projects based on big data

Abstract

The present invention relates to the field of data management technology, and in particular to a method and system for analyzing the sediment deposition status of a river channel of a water conservancy project based on big data. The present invention performs sediment deposition difficulty analysis based on the bottom shape of the river and river flow data, performs sediment shedding anomaly analysis under the influence of river impact based on the river flow impact and the soil conditions around the river, performs sediment secondary deposition safety analysis based on the sediment shedding anomaly analysis results, predicts sediment deposition status based on the sediment deposition difficulty analysis results and the sediment secondary deposition safety analysis results, and issues sediment deposition status warning based on the predicted sediment deposition status, which helps to prevent and reduce the risks brought by sediment deposition, improves the scientific nature and effectiveness of river channel management, and promotes ecological environmental protection and sustainable development.

Description

Technical Field

[0001] The present invention relates to the field of data management technology, and in particular to a method and system for analyzing the sediment deposition status of a river channel in a water conservancy project based on big data. Background Art

[0002] Currently, existing technologies for the analysis and early warning of river sedimentation mainly rely on the analysis of a single factor, such as only considering water flow velocity or sediment content, but lack comprehensive consideration of multiple factors such as river bottom shape and soil conditions. This single-factor analysis method often leads to inaccurate prediction results and makes it difficult to fully reflect the complexity of sedimentation. In addition, existing data acquisition methods are relatively backward and cannot provide high-precision river bottom shape and soil condition data, further limiting the depth and breadth of the analysis. At the same time, soil condition analysis is mostly limited to laboratory testing, making it difficult to achieve real-time and comprehensive monitoring of the soil around the river.

[0003] In order to solve these problems, this application designs a method and system for analyzing the sediment deposition status of river channels in water conservancy projects based on big data. Summary of the Invention

[0004] In order to overcome the defects and shortcomings of the existing technology, the present invention provides a method and system for analyzing the sediment deposition status of river channels in water conservancy projects based on big data.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present invention provides a method for analyzing the sediment deposition status of a river channel in a water conservancy project based on big data, comprising the following steps:

[0007] S1. Obtain the bottom shape of the river and the river flow data, and at the same time obtain the soil conditions around the river;

[0008] S2. Analyze the difficulty of sediment deposition based on the river bottom shape and river flow data;

[0009] S3. Analyze the abnormal sediment shedding under the influence of river impact based on the river flow impact and the soil conditions around the river;

[0010] S4. Conduct safety analysis of secondary sediment deposition based on the results of sediment shedding anomaly analysis;

[0011] S5. Predict sedimentation status based on sedimentation difficulty analysis results and sediment secondary deposition safety analysis results;

[0012] S6. Issue an early warning of sedimentation status based on the predicted sedimentation status.

[0013] In one implementation of the present invention, the bottom shape of the river includes a contour image of the river bottom. Since the shape of the river bottom will affect the flow velocity of the water in the lower part of the river, and the flat river bottom is affected by the impact of the river, quicksand is not easy to deposit at the bottom of the river, the river water flow data includes the impact velocity of the river and the sand content of the river at the corresponding position. The soil conditions around the river include the soil conditions around the river, and the soil conditions include the viscosity between the soils and the surface cracks of the nearby soil, and the corresponding types of data obtained are stored in the corresponding storage components.

[0014] In one implementation of the present invention, the sedimentation difficulty analysis in step S2 includes the following specific steps:

[0015] S21. Obtain a three-dimensional contour image of the river bottom, and analyze the flatness of the river bottom based on the three-dimensional contour image of the river bottom. The formula for analyzing the flatness of the river bottom is: , where M is the number of points on the three-dimensional contour, xi is the height of the i-th point on the bottom of the river, xim is the average height of the bottom of the river, and Hp is the flatness of the bottom of the river. is the sine of the angle between the line segment from point i to point i-1 and the horizontal plane where point i is located. Usually, the unevenness of the riverbed will block the flow of sediment and cause sediment accumulation in the river.

[0016] S22. Obtain the results of the analysis of the flatness of the corresponding river bottom, the water flow velocity, and the sediment content of the river at the corresponding location to perform a sediment deposition difficulty analysis. The sediment deposition difficulty analysis formula is: , where a is the water flow velocity influence weight, Vs is the water flow velocity at the corresponding location, Vm is the flow velocity safety value, b is the sediment content influence weight, Wm is the mean sediment content of the river, and Ws is the sediment content of the river in the corresponding area. In this step, the influence of the flatness of the river bottom is comprehensively considered. The influence of the river flow velocity and the sediment content of the river at the corresponding location on the river sediment deposition is analyzed, and the difficulty of river sedimentation is comprehensively considered.

[0017] In one implementation of the present invention, the analysis of sediment shedding anomaly in step S3 includes the following specific steps:

[0018] S31. Obtain soil conditions, including the viscosity between soils and surface cracks in nearby soils. Perform soil scour resistance assessment based on the obtained viscosity between soils and surface cracks in nearby soils. The soil scour resistance assessment formula is: , where N is the number of soil areas near the river. It should be noted that Rj is the viscosity of the j-th soil area, cz is the average distance from each area to the river, cj is the average distance from each point in the j-th soil area to the river, sj is the number of cracks in the j-th area, mj is the average crack area of ​​the j-th area, and mz is the crack area safety value. Rs is the viscosity standard value, and Tr is the soil scour resistance, that is, when the crack area is less than or equal to the crack area safety value, the damage to the soil caused by the crack can be ignored.

[0019] S32. Obtain the water velocity and soil scour resistance assessment results, and perform sediment shedding anomaly analysis based on the water velocity and soil scour resistance assessment results. The sediment shedding anomaly analysis formula is: Among them, Tl is the abnormal sediment shedding, Vs is the water flow velocity at the corresponding position, and Vm is the flow velocity safety value. By analyzing the sediment shedding situation, we can understand the stability of the soil under water erosion. If the amount of sediment shedding increases abnormally, it may indicate that the soil structure is destroyed and the stability is reduced. Water flow velocity is an important factor affecting sediment shedding. Analyzing the abnormal sediment shedding can help evaluate the changes in the water flow scouring force and understand the degree of water erosion on the soil.

[0020] In one implementation of the present invention, the safety analysis of secondary sediment deposition is performed based on the sediment shedding anomaly analysis results in step S4, including the following specific contents:

[0021] S41, obtaining the results of sediment shedding anomaly analysis, river bottom flatness, and water flow velocity;

[0022] S42. Conduct a safety analysis of secondary sediment deposition based on the obtained sediment shedding anomaly analysis results, the river bottom flatness, and the water flow rate. The safety analysis formula for secondary sediment deposition is: , where c is the weight of the soil shedding ratio, Vk is the volume of soil on both sides of the river channel, Vc is the standard value of soil volume, and Ec is the safety analysis result of secondary sediment deposition.

[0023] In one implementation of the present invention, the sediment deposition state prediction is performed based on the sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result in step S5, including the following specific contents:

[0024] The calculated sedimentation difficulty analysis results and sediment secondary deposition safety analysis results are obtained, and the sedimentation status prediction results are obtained using a weighted summation method.

[0025] In one implementation of the present invention, the step S6 of providing an early warning of the sedimentation state based on the predicted sedimentation state includes the following specific contents:

[0026] Obtain the obtained sedimentation status prediction result and the set sedimentation status warning value. If the obtained sedimentation status prediction result is less than or equal to 50% of the set sedimentation status warning value, strengthen river monitoring and timely grasp the sedimentation development situation. If the obtained sedimentation status prediction result is greater than 50% of the set sedimentation status warning value and less than 80% of the set sedimentation status warning value, small-scale silt removal equipment will be needed in the next cycle for comprehensive cleaning to restore the river's flow capacity. If the obtained sedimentation status prediction result is greater than 80% of the set sedimentation status warning value, excavator equipment will be used for comprehensive silt removal to restore the normal function of the river.

[0027] In a second aspect, the present invention further provides a system for analyzing the sediment deposition status of a river channel in a water conservancy project based on big data, comprising:

[0028] The data acquisition module is used to obtain the bottom shape of the river and the river flow data, as well as the soil conditions around the river;

[0029] Sedimentation difficulty analysis module, which analyzes the difficulty of sedimentation based on the river bottom shape and river flow data;

[0030] The shedding anomaly analysis module analyzes the anomaly of sediment shedding under the influence of river impact based on the impact of river water flow and the soil conditions around the river.

[0031] Sedimentation safety analysis module, which conducts secondary sedimentation safety analysis based on sediment shedding anomaly analysis results;

[0032] The safety warning module predicts the sedimentation status based on the results of sedimentation difficulty analysis and sediment secondary deposition safety analysis, and issues sedimentation status warning based on the predicted sedimentation status.

[0033] In a third aspect, the present invention provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a method for analyzing the sediment deposition status of a river channel of a water conservancy project based on big data by calling the computer program stored in the memory.

[0034] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute a method for analyzing the sediment deposition status of a river channel of a water conservancy project based on big data.

[0035] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0036] The present invention analyzes the difficulty of silt deposition through the bottom shape of the river and the river flow data, analyzes the abnormality of silt shedding under the influence of river impact through the impact of river flow and the soil conditions around the river, conducts a safety analysis of secondary sedimentation based on the results of the silt shedding abnormality analysis, predicts the silt deposition state based on the results of the silt deposition difficulty analysis and the results of the secondary sediment deposition safety analysis, and issues a silt deposition state warning based on the predicted silt deposition state, which helps to prevent and reduce the risks brought by silt deposition, improve the scientificity and effectiveness of river management, and promote the protection and sustainable development of the ecological environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0038] Figure 1 Schematic diagram of the overall process of an embodiment of the method of the present invention;

[0039] Figure 2 A schematic structural diagram of an embodiment of the system of the present invention;

[0040] Figure 3 A schematic diagram of river sediment deposition according to the present invention;

[0041] Figure 4 Schematic diagram of the monitoring point angle of the present invention. DETAILED DESCRIPTION

[0042] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0043] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0044] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0045] Example 1

[0046] like Figure 1 、 Figure 3 and Figure 4As shown, this embodiment provides a method for analyzing the sediment deposition status of a river channel in a water conservancy project based on big data, which specifically includes the following steps:

[0047] S1. Obtain the bottom shape of the river and the river flow data, and at the same time obtain the soil conditions around the river;

[0048] In this embodiment, the bottom shape of the river includes a contour image of the bottom of the river. Exemplarily, the acquisition method is: scanning the three-dimensional contour image of the bottom of the river by ultrasonic or three-dimensional imaging scanner. Since the shape of the bottom of the river will affect the flow velocity of the water in the lower part of the river, and the flat river bottom is affected by the impact of the river, quicksand is not easy to deposit at the bottom of the river, the river water flow data includes the impact velocity of the river and the sediment content of the river at the corresponding position. Exemplarily, the impact velocity of the river is obtained by a velocity sensor, and the sediment content of the river is obtained by a sediment content collection terminal. The soil condition around the river includes the soil quality around the river, and the soil quality includes the viscosity between the soil and the surface cracks of the nearby soil. The viscosity between the soil is obtained by a corresponding soil viscosity sensor, and the surface cracks of the soil are obtained by a corresponding visual sensor; and the corresponding types of data obtained are stored in the corresponding storage component;

[0049] S2. Analyze the difficulty of sediment deposition based on the river bottom shape and river flow data;

[0050] In this embodiment, the analysis of the difficulty of sediment deposition in step S2 includes the following specific steps:

[0051] S21. Obtain a three-dimensional contour image of the river bottom, and analyze the flatness of the river bottom based on the three-dimensional contour image of the river bottom. The formula for analyzing the flatness of the river bottom is: , where M is the number of points on the three-dimensional contour, xi is the height of the i-th point on the bottom of the river, xim is the average height of the bottom of the river, and Hp is the flatness of the bottom of the river. is the sine of the angle between the line segment from point i to point i-1 and the horizontal plane where point i is located. As the unevenness of the riverbed usually blocks the flow of sediment and causes sediment accumulation in the river, Figure 4 The figure shows a schematic diagram of obtaining the angle between the line segment from point i to point i-1 and the horizontal plane where point i is located. As the outer slope of the river bottom increases, the water flow will follow the slope, so the sediment in the corresponding area is less likely to be deposited under the action of water flow and gravity.

[0052] S22. Obtain the results of the analysis of the flatness of the corresponding river bottom, the water flow velocity, and the sediment content of the river at the corresponding location to perform a sediment deposition difficulty analysis. The sediment deposition difficulty analysis formula is: , where a is the water flow velocity influence weight, Vs is the water flow velocity at the corresponding location, Vm is the flow velocity safety value, b is the sediment content influence weight, Wm is the mean sediment content of the river, and Ws is the sediment content of the river in the corresponding area. In this step, the influence of the flatness of the river bottom is comprehensively considered. The influence of the river flow velocity and the sediment content of the river at the corresponding location on the river sediment deposition is analyzed, and the difficulty of river sedimentation is comprehensively considered.

[0053] S3. Analyze the abnormal sediment shedding under the influence of river impact based on the river flow impact and the soil conditions around the river;

[0054] In this embodiment, the analysis of sediment shedding anomaly in step S3 includes the following specific steps:

[0055] S31. Obtain soil conditions, including the viscosity between soils and surface cracks in nearby soils. Perform soil scour resistance assessment based on the obtained viscosity between soils and surface cracks in nearby soils. The soil scour resistance assessment formula is: , where N is the number of soil areas near the river. It should be noted that the regional division here is to divide the soil along the river edge into several square or circular areas of 10 square meters. This is only to distinguish the impact of the distance between the river and each area on each area, so the division can be ignored. Rj is the viscosity of the j-th soil area, cz is the average distance from each area to the river, cj is the average distance from each point in the j-th soil area to the river, sj is the number of cracks in the j-th area, mj is the average crack area of ​​the j-th area, and mz is the crack area safety value. Rs is the viscosity standard value, Tr is the soil scour resistance, that is, when the crack area is less than or equal to the crack area safety value, the damage to the soil caused by the crack can be ignored. This step comprehensively considers multiple factors affecting soil scour resistance, such as viscosity, distance, number and area of ​​cracks, and provides a comprehensive evaluation. By dividing the soil into multiple areas, the impact of different distances on the soil is considered, making the evaluation result more accurate. The number and area of ​​cracks are used to quantify the impact of cracks on scour resistance, providing a quantitative analysis.

[0056] S32. Obtain the water velocity and soil scour resistance assessment results, and perform sediment shedding anomaly analysis based on the water velocity and soil scour resistance assessment results. The sediment shedding anomaly analysis formula is: , where Tl is the abnormal sediment shedding, Vs is the water velocity at the corresponding position, and Vm is the safety value of the velocity. By analyzing the sediment shedding situation, we can understand the stability of the soil under water erosion. If the amount of sediment shedding increases abnormally, it may indicate that the soil structure is destroyed and the stability is reduced. Water velocity is an important factor affecting sediment shedding. Analyzing the abnormal sediment shedding can help evaluate the changes in water scouring force and understand the degree of water erosion on the soil.

[0057] S4. Conduct safety analysis of secondary sediment deposition based on the results of sediment shedding anomaly analysis;

[0058] In this embodiment, the safety analysis of secondary sediment deposition is performed based on the sediment shedding anomaly analysis results in step S4, including the following specific contents:

[0059] S41, obtaining the results of sediment shedding anomaly analysis, river bottom flatness, and water flow velocity;

[0060] S42. Conduct a safety analysis of secondary sediment deposition based on the obtained sediment shedding anomaly analysis results, the river bottom flatness, and the water flow rate. The safety analysis formula for secondary sediment deposition is: , where c is the weight of soil shedding, Vk is the volume of soil on both sides of the river, Vc is the standard value of soil volume, and Ec is the safety analysis result of secondary sediment deposition;

[0061] S5. Predict sedimentation status based on sedimentation difficulty analysis results and sediment secondary deposition safety analysis results;

[0062] In this embodiment, the sediment deposition state prediction is performed based on the sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result in step S5, including the following specific contents:

[0063] Obtain the calculated sedimentation difficulty analysis results and sediment secondary deposition safety analysis results, and use the weighted summation method to obtain the sedimentation status prediction results;

[0064] S6. Provide early warning of sedimentation status based on the predicted sedimentation status;

[0065] In this embodiment, the siltation state warning is performed according to the predicted siltation state in step S6, including the following specific contents:

[0066] Obtain the obtained sedimentation status prediction result and the set sedimentation status warning value. If the obtained sedimentation status prediction result is less than or equal to 50% of the set sedimentation status warning value, strengthen river monitoring and timely grasp the sedimentation development situation. If the obtained sedimentation status prediction result is greater than 50% of the set sedimentation status warning value and less than 80% of the set sedimentation status warning value, small-scale silt removal equipment will be needed in the next cycle for comprehensive cleaning to restore the river's flow capacity. If the obtained sedimentation status prediction result is greater than 80% of the set sedimentation status warning value, excavator equipment will be used for comprehensive silt removal to restore the normal function of the river.

[0067] It should be noted that the parameters (e.g., weighted values ​​and set siltation warning values) in this embodiment are obtained by experiments conducted by those skilled in the art based on historical data. A specific example of the experimental method is as follows: historical river bottom shape and river flow data are obtained, as well as historical soil conditions surrounding the river. These are substituted into the various steps of this embodiment to obtain sedimentation prediction results. Furthermore, the actual results of whether sedimentation will occur in future cycles are determined. Based on the actual results and the sedimentation prediction results, the data are substituted into a fitting software for iterative data fitting, and the values ​​of the parameters of this embodiment that meet the maximum judgment accuracy are output. Obtaining and optimizing the parameters of this embodiment through historical data and experiments can significantly improve the judgment accuracy and warning effectiveness of the system. First, by comparing historical data with actual results, the model can continuously adjust parameters to improve prediction accuracy, which is more reliable than setting parameters based on experience, especially in complex river environments. Second, different rivers have different geographical and hydrological conditions. The use of historical data enables the model to adapt to the characteristics of specific regions and provide parameters that are more realistic. The fitting software can be MATLAB software.

[0068] It should be noted that in this embodiment, this embodiment has the following benefits and advantages: the difficulty of sediment deposition is analyzed by the bottom shape of the river and the river flow data; the abnormal sediment shedding under the influence of river impact is analyzed by the river flow impact and the soil conditions around the river; the secondary sedimentation safety analysis of sediment is performed based on the results of the abnormal sediment shedding analysis; the sediment deposition status is predicted based on the results of the sediment deposition difficulty analysis and the results of the secondary sediment deposition safety analysis; and the sedimentation status warning is issued according to the predicted sediment deposition status, which helps to prevent and reduce the risks brought by sediment deposition, and can also improve the scientificity and effectiveness of river management, and promote the protection and sustainable development of the ecological environment.

[0069] Example 2

[0070] like Figure 2As shown, this embodiment provides a river channel sediment deposition state analysis system for water conservancy projects based on big data, including: a data acquisition module, which is used to obtain the bottom shape of the river and the river water flow data, and at the same time obtain the soil conditions around the river; a sedimentation difficulty analysis module, which performs sedimentation difficulty analysis based on the bottom shape of the river and the river water flow data; a shedding anomaly analysis module, which performs sediment shedding anomaly analysis under the influence of river impact through the river water flow impact and the soil conditions around the river; a deposition safety analysis module, which performs sediment secondary deposition safety analysis based on the results of sediment shedding anomaly analysis; a safety warning module, which predicts sedimentation status based on the results of sedimentation difficulty analysis and the results of sediment secondary deposition safety analysis, and issues a sedimentation status warning based on the predicted sedimentation status.

[0071] Example 3

[0072] An electronic device according to an embodiment of the present invention includes a processor and a memory, wherein the memory stores a computer program that can be called by the processor. The processor executes a method for analyzing the sediment deposition status of a water conservancy project river channel based on big data by calling the computer program stored in the memory. It should be noted that all computer programs of the method for analyzing the sediment deposition status of a water conservancy project river channel based on big data are implemented in the C language.

[0073] Example 4

[0074] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0075] When the computer program runs on a computer device, the computer device executes the above-mentioned method for analyzing the sediment deposition status of a river channel of a water conservancy project based on big data.

[0076] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are fully or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, computer instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0077] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0078] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0079] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only one type. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0080] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0081] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0082] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0083] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for analyzing the sediment deposition status of river channels in water conservancy projects based on big data, characterized in that: The steps include: S1. Obtain the bottom shape of the river and the river flow data, and at the same time obtain the soil conditions around the river; S2. Analyze the difficulty of sediment deposition based on the river bottom shape and river flow data; S3. Analyze the abnormal sediment shedding under the influence of river impact based on the river flow impact and the soil conditions around the river; The specific steps include: S31. Obtain soil conditions, including the viscosity between soils and surface cracks in nearby soils. Perform soil scour resistance assessment based on the obtained viscosity between soils and surface cracks in nearby soils. The soil scour resistance assessment formula is: , where N is the number of soil areas near the river, Rj is the viscosity of the j-th soil area, cz is the average distance from each area to the river, cj is the average distance from each point in the j-th soil area to the river, sj is the number of cracks in the j-th area, mj is the average crack area of ​​the j-th area, mz is the safety value of the crack area, Rs is the standard value of viscosity, and Tr is the soil scour resistance; S32. Obtain the water velocity and soil scour resistance assessment results, and perform sediment shedding anomaly analysis based on the water velocity and soil scour resistance assessment results. The sediment shedding anomaly analysis formula is: , where Tl is the sediment shedding anomaly, Vs is the water flow velocity at the corresponding location, and Vm is the flow velocity safety value; S4. Conduct a safety analysis of secondary sediment deposition based on the results of sediment shedding anomaly analysis, including the following specific contents: S41, obtaining the results of sediment shedding anomaly analysis, river bottom flatness, and water flow velocity; S42. Conduct a safety analysis of secondary sediment deposition based on the obtained sediment shedding anomaly analysis results, the river bottom flatness, and the water flow rate. The safety analysis formula for secondary sediment deposition is: , where c is the weight of soil shedding, Vk is the volume of soil on both sides of the river, Vc is the standard value of soil volume, Ec is the result of safety analysis of secondary sediment deposition, and Hp is the flatness of the river bottom; S5. Predict sedimentation status based on sedimentation difficulty analysis results and sediment secondary deposition safety analysis results; S6. Issue an early warning of sedimentation status based on the predicted sedimentation status.

2. The method for analyzing river sediment deposition status of water conservancy projects based on big data according to claim 1 is characterized in that: The analysis of the difficulty of sediment deposition includes the following specific steps: S21, obtaining a three-dimensional contour image of the river bottom, and analyzing the flatness of the river bottom based on the three-dimensional contour image of the river bottom; S22. Obtain the analysis results of the flatness of the bottom of the corresponding river, as well as the water flow velocity and the sediment content of the river at the corresponding location to conduct a silt deposition difficulty analysis.

3. The method for analyzing river sediment deposition status of water conservancy projects based on big data according to claim 1 is characterized in that: The sedimentation state prediction based on the sedimentation difficulty analysis results and the sediment secondary deposition safety analysis results includes the following specific contents: The calculated sedimentation difficulty analysis results and sediment secondary deposition safety analysis results are obtained, and the sedimentation status prediction results are obtained using a weighted summation method.

4. The method for analyzing the sediment deposition status of a river channel of a water conservancy project based on big data according to claim 3 is characterized in that: The analysis formula for the flatness of the river bottom is: , where M is the number of points on the three-dimensional contour, xi is the height of the i-th point at the bottom of the river, and xim is the average height of the bottom of the river. is the sine of the angle between the line segment from the i-th point to the i-1-th point and the horizontal plane where the i-th point is located, where Hp is the flatness of the river bottom.

5. The method for analyzing river sediment deposition status of water conservancy projects based on big data according to claim 1 is characterized in that: The bottom shape of the river includes the contour image of the bottom of the river, the river water flow data includes the impact velocity of the river and the sand content of the river at the corresponding position, the soil conditions around the river include the soil quality around the river, and the soil quality conditions include the viscosity between the soil and the surface cracks of the nearby soil; and the corresponding types of data obtained are stored in the corresponding storage components.

6. A system for analyzing the sediment deposition status of a water conservancy project river channel based on big data, which is implemented based on the method for analyzing the sediment deposition status of a water conservancy project river channel based on big data according to any one of claims 1 to 5, characterized in that: The system comprises: The data acquisition module is used to obtain the bottom shape of the river and the river flow data, as well as the soil conditions around the river; Sedimentation difficulty analysis module, which analyzes the difficulty of sedimentation based on the river bottom shape and river flow data; The shedding anomaly analysis module analyzes the anomaly of sediment shedding under the influence of river impact based on the impact of river water flow and the soil conditions around the river. Sedimentation safety analysis module, which conducts secondary sedimentation safety analysis based on sediment shedding anomaly analysis results; The safety warning module predicts the sedimentation status based on the results of sedimentation difficulty analysis and sediment secondary deposition safety analysis, and issues sedimentation status warning based on the predicted sedimentation status.

7. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the method for analyzing the sediment deposition status of a river channel of a water conservancy project based on big data as described in any one of claims 1 to 5 by calling the computer program stored in the memory.

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