Water conservancy project river sediment deposition state analysis method and system based on big data

Abstract

The invention relates to the technical field of data management, in particular to a river sediment deposition state analysis method and system based on a big data hydraulic engineering, and the method comprises the steps: carrying out the sediment deposition difficulty analysis through the bottom shape condition of a river and the water flow data condition of the river; the method comprises the following steps: carrying out sediment shedding abnormity analysis under the influence of river impact according to a river water flow impact condition and a soil condition around a river, carrying out sediment secondary deposition safety analysis based on a sediment shedding abnormity analysis result, and carrying out sediment deposition state prediction based on a sediment deposition difficulty analysis result and a sediment secondary deposition safety analysis result. The sediment deposition state early warning is performed according to the predicted sediment deposition state, so that the risk caused by sediment deposition can be prevented and reduced, the scientificity and effectiveness of river management can be improved, and the protection and sustainable development of the ecological environment can be promoted.

Description

Technical Field

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

[0003] Currently, for the analysis and early warning of river sediment deposition, the existing technology mainly relies on the analysis of single factors, such as only considering the water flow velocity or sediment concentration, and lacks the comprehensive consideration of multiple factors such as the shape of the river bottom and soil conditions. This single-factor analysis method often leads to inaccurate prediction results and is difficult to comprehensively reflect the complexity of sediment deposition. In addition, the existing data acquisition means are relatively backward, and it is difficult to provide high-precision data on the shape of the river bottom and soil conditions, further restricting the depth and breadth of the analysis. At the same time, the analysis of soil conditions is also mostly limited to laboratory tests, and it is difficult to achieve real-time and comprehensive monitoring of the soil around the river.

[0004] To solve these problems, the present application designs a method and system for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data. Summary of the Invention

[0005] In order to overcome the defects and deficiencies existing in the prior art, the present invention provides a method and system for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data.

[0006] To achieve the above object, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a method for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data, including the following steps: S1. Obtain the shape of the river bottom and the water flow data of the river, and at the same time obtain the soil conditions around the river; S2. Analyze the difficulty of sediment deposition through the shape of the river bottom and the water flow data of the river; S3. Analyze the abnormal sediment detachment under the influence of river impact through the river water impact situation and the soil conditions around the river; S4. Conduct a safety analysis of secondary sediment deposition based on the results of the abnormal sediment detachment analysis; S5. Predict the sediment deposition state based on the results of the sediment deposition difficulty analysis and the secondary sediment deposition safety analysis; S6. Issue a warning for the sediment deposition state according to the predicted sediment deposition state.

[0007] In an implementation manner of the present invention, the bottom shape condition of the river includes the contour image of the river bottom. Since the shape condition of the river bottom will affect the flow velocity of the water flow in the lower part of the river, and at the same time, due to the impact of the river on the flat river bottom, quicksand is not easily deposited at the river bottom. The river water flow data condition includes the impact velocity condition of the river and the sediment content condition of the river at the corresponding position. The soil condition around the river includes the soil quality condition around the river. The soil quality condition includes the viscosity condition between the soil qualities and the surface crack condition of the nearby soil. And the obtained corresponding types of data are stored in the corresponding storage components.

[0008] In an implementation manner of the present invention, the analysis of the difficulty of sediment deposition in step S2 includes the following specific steps: S21. Obtain the three-dimensional contour image of the river bottom, and analyze the flatness condition of the river bottom based on the three-dimensional contour image of the river bottom. Among them, the formula for analyzing the flatness condition of the river bottom is: , where M is the number of points on the three-dimensional contour, xi is the height condition of the i-th point at the river bottom, xim is the average height of the river bottom, and Hp is the flatness condition of the river bottom. 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. Since the unevenness of the river bottom usually blocks the flow of sediment and causes sediment deposition in the river. S22. Obtain the analysis result of the flatness condition of the corresponding river bottom, the water flow velocity, and the sediment content condition of the river at the corresponding position to analyze the difficulty of sediment deposition. Among them, the formula for analyzing the difficulty of sediment deposition is: , where a is the influence weight of the water flow velocity, Vs is the water flow velocity at the corresponding position, Vm is the flow velocity safety value, b is the influence weight of the sediment content, Wm is the average sediment content of the river, and Ws is the sediment content of the river in the corresponding area. In this step, considering the influence of the flatness condition of the river bottom, analyze the influence of the water flow velocity of the river and the sediment content condition of the river at the corresponding position on the sediment deposition in the river, and comprehensively consider the difficulty of sediment deposition in the river. In an implementation manner of the present invention, the analysis of abnormal sediment shedding in step S3 includes the following specific steps: S31. Obtain the soil quality condition including the viscosity condition between the soil qualities and the surface crack condition of the nearby soil, and evaluate the soil erosion resistance based on the obtained viscosity condition between the soil qualities and the surface crack of the nearby soil. Among them, the formula for evaluating the soil erosion resistance is: , where N is the number of soil areas near the river. Here, 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 in the j-th area, and mz is the crack area safety value. Among them, Rs is the standard viscosity value, and Tr is the soil erosion 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 cracks can be ignored; S32. Obtain the flow velocity condition of the water flow and the evaluation result of the soil erosion resistance, and perform abnormal sediment detachment analysis based on the flow velocity condition of the water flow and the evaluation result of the soil erosion resistance. The formula for abnormal sediment detachment analysis is: , where Tl is the abnormal sediment detachment, Vs is the flow velocity of the water flow at the corresponding position, and Vm is the flow velocity safety value. By analyzing the sediment detachment situation, the stability of the soil under the water flow scouring can be understood. If the amount of sediment detachment increases abnormally, it may indicate that the soil structure is damaged and the stability decreases. The flow velocity of the water flow is an important factor affecting sediment detachment. Analyzing abnormal sediment detachment can help evaluate the change of the water flow scouring force and understand the erosion degree of the water flow on the soil.

[0009] In an implementation manner of the present invention, in step S4, sediment secondary deposition safety analysis is performed based on the abnormal sediment detachment analysis result, including the following specific contents: S41. Obtain the obtained abnormal sediment detachment analysis result, the flatness condition of the river bottom, and the flow velocity condition of the water flow; S42. Perform sediment secondary deposition safety analysis according to the obtained abnormal sediment detachment analysis result, the flatness condition of the river bottom, and the flow velocity condition of the water flow. The formula for sediment secondary deposition safety analysis is: , where c is the weight of the soil detachment ratio, Vk is the volume of the soil in the areas on both sides of the river channel, and Vc is the standard soil volume value. Among them, Ec is the sediment secondary deposition safety analysis result.

[0010] In an implementation manner of the present invention, in step S5, sediment deposition state prediction is performed based on the sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result, including the following specific contents: Obtain the calculated sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result, and use the weighted summation method to obtain the sediment deposition state prediction result.

[0011] In an implementation manner of the present invention, in step S6, deposition state warning is performed according to the predicted sediment deposition state, including the following specific contents: Based on the obtained sediment deposition state prediction result and the set sedimentation state warning value, if the obtained sediment deposition state prediction result is less than or equal to 50% of the set sedimentation state warning value, the river channel monitoring shall be strengthened to timely master the development of sedimentation. If the obtained sediment deposition state prediction result is greater than 50% of the set sedimentation state warning value and less than 80% of the set sedimentation state warning value, small dredging equipment shall be used for comprehensive cleaning in the next cycle to restore the river channel's flow capacity. If the obtained sediment deposition state prediction result is greater than 80% of the set sedimentation state warning value, an excavator shall be used for comprehensive dredging to restore the normal function of the river channel.

[0012] In a second aspect, the present invention further provides a river channel sediment deposition state analysis system for water conservancy projects based on big data, including: A data acquisition module for acquiring the bottom shape of the river and the river water flow data, and simultaneously acquiring the soil conditions around the river; A sediment deposition difficulty analysis module for analyzing the sediment deposition difficulty through the bottom shape of the river and the river water flow data; A sediment shedding abnormality analysis module for analyzing the sediment shedding abnormality under the influence of river impact through the river water impact condition and the soil condition around the river; A sediment secondary deposition safety analysis module for performing sediment secondary deposition safety analysis based on the sediment shedding abnormality analysis result; A safety warning module for predicting the sediment deposition state based on the sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result, and giving a sedimentation state warning according to the predicted sediment deposition state.

[0013] In a third aspect, an electronic device provided by the present invention includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes the river channel sediment deposition state analysis method for water conservancy projects based on big data by calling the computer program stored in the memory.

[0014] In a fourth aspect, a computer-readable storage medium provided by the present invention stores instructions, and when the instructions run on a computer, the computer is made to execute the river channel sediment deposition state analysis method for water conservancy projects based on big data.

[0015] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention analyzes the difficulty of sediment deposition based on the bottom shape of the river and the river water flow data, analyzes the abnormal sediment shedding under the influence of river impact based on the river water impact situation and the soil conditions around the river, conducts a safety analysis of secondary sediment deposition based on the results of the abnormal sediment shedding analysis, predicts the sediment deposition state based on the results of the sediment deposition difficulty analysis and the secondary sediment deposition safety analysis, and issues a warning for the deposition state according to the predicted sediment deposition state, which helps to prevent and reduce the risks brought by sediment 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

[0016] Other features, objects, and advantages of the present invention will become more apparent by reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 It is a schematic diagram of the overall process of the method embodiment of the present invention; Figure 2 It is a schematic structural diagram in the system embodiment of the present invention; Figure 3 It is a schematic diagram of river sediment deposition of the present invention; Figure 4 It is a schematic diagram of the included angle of monitoring points of the present invention. Detailed Embodiments

[0017] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made with reference to the accompanying drawings of the specification.

[0018] In the following description, many specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0019] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that can be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that excludes other embodiments.

[0020] Embodiment 1 As Figure 1 , Figure 3 and Figure 4 shown, this embodiment provides a method for analyzing the sediment deposition state of a river channel in a large data water conservancy project, which specifically includes the following steps: S1. Obtain the bottom shape condition of the river and the river water flow data condition, and at the same time obtain the soil condition around the river; In this embodiment, the bottom shape condition of the river includes the contour image of the river bottom. Exemplarily, the obtaining method is: scanning the three-dimensional contour image of the river bottom through ultrasonic waves or a three-dimensional imaging scanner. Since the shape condition of the river bottom will affect the flow velocity of the water flow in the lower part of the river, and the flat river bottom is affected by the impact of the river, quicksand is not easily deposited at the river bottom. The river water flow data condition includes the impact velocity condition of the river and the sediment content condition of the river at the corresponding position. Among them, exemplarily, the impact velocity of the river is obtained through a velocity sensor, and the sediment content condition of the river is obtained through a sediment content acquisition terminal. The soil condition around the river includes the soil quality condition around the river. The soil quality condition includes the viscosity condition between soil qualities and the surface crack condition of the nearby soil. Among them, the viscosity condition between soil qualities is obtained through the corresponding soil viscosity sensor, and the surface crack condition of the soil is obtained through the corresponding visual sensor; and the obtained corresponding types of data are stored in the corresponding storage components; S2. Analyze the difficulty of sediment deposition based on the bottom shape condition of the river and the river water flow data condition; In this embodiment, the analysis of the difficulty of sediment deposition in step S2 includes the following specific steps: S21. Obtain the three-dimensional contour image of the river bottom, and analyze the flatness condition of the river bottom based on the three-dimensional contour image of the river bottom. Among them, the formula for analyzing the flatness condition of the river bottom is: , where M is the number of points on the three-dimensional contour, xi is the height condition of the i-th point at the river bottom, xim is the average height of the river bottom, and among them, Hp is the flatness condition of the river bottom, 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. Since the unevenness of the river bottom usually blocks the flow of sediment and causes sediment deposition in the river, as shown in the attached Figure 4 figure which is a schematic diagram for obtaining 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. And because the outer slope of the river bottom is larger, the water flow will impact along the slope, so the sediment in the corresponding area is not easily deposited under the action of water flow impact and gravity; S22. Obtain the analysis result of the flatness condition of the corresponding river bottom, the water flow velocity, and the sediment content condition of the river at the corresponding position to analyze the difficulty of sediment deposition. Among them, the formula for analyzing the difficulty of sediment deposition is: , where a is the weight factor affected by water flow velocity, Vs is the water flow velocity at the corresponding position, Vm is the safe value of the flow velocity, b is the weight factor affected by sediment concentration, Wm is the average sediment concentration of the river, and Ws is the sediment concentration of the river at the corresponding area. In this step, considering the influence of the flatness of the river bottom, the impact of the water flow velocity of the river and the sediment concentration of the river at the corresponding position on the sediment deposition of the river is analyzed, and the difficulty of sediment deposition in the river is comprehensively considered; S3. Analyze the abnormal sediment detachment under the impact of the river by considering the impact of the river water flow and the soil conditions around the river; In this embodiment, the abnormal sediment detachment analysis in step S3 includes the following specific steps: S31. Obtain the soil conditions, including the viscosity between the soils and the surface crack conditions of the nearby soil. Based on the obtained viscosity between the soils and the surface cracks of the nearby soil, evaluate the soil scourability. The soil scourability evaluation formula is: , where N is the number of soil areas near the river. Here, it should be noted that for the regional division, the soil in the riverbank area is divided into several 10-square-meter squares or circles along the riverbank. This is only to distinguish the influence 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 safe value of the crack area. Among them, Rs is the standard value of viscosity, Tr is the soil scourability, that is, when the crack area is less than or equal to the safe value of the crack area, the damage to the soil caused by the crack can be ignored. This step comprehensively considers multiple factors affecting soil scourability, such as viscosity, distance, number and area of cracks, and provides a comprehensive evaluation. By dividing the soil into multiple areas and considering the influence of different distances on the soil, the evaluation result is more accurate. The influence of cracks on scourability is quantified using the number and area of cracks, providing a quantitative analysis; S32. Obtain the flow velocity conditions of the water flow and the evaluation result of the soil scourability, and analyze the abnormal sediment detachment based on the flow velocity conditions of the water flow and the evaluation result of the soil scourability. The abnormal sediment detachment analysis formula is: , where Tl is the abnormal sediment detachment, Vs is the water flow velocity at the corresponding position, and Vm is the safe value of the flow velocity. By analyzing the sediment detachment situation, the stability of the soil under the water flow scouring can be understood. If the sediment detachment amount increases abnormally, it may indicate that the soil structure is damaged and the stability is reduced. The water flow velocity is an important factor affecting sediment detachment. Analyzing the abnormal sediment detachment can help evaluate the change of the water flow scouring force and understand the erosion degree of the water flow on the soil; S4. Conduct a safety analysis of the secondary sediment deposition based on the analysis result of the abnormal sediment detachment; In this embodiment, in step S4, sediment secondary deposition safety analysis is performed based on the sediment detachment anomaly analysis result, including the following specific contents: S41. Obtain the sediment detachment anomaly analysis result, the flatness of the river bottom, and the water flow velocity; S42. Perform sediment secondary deposition safety analysis based on the obtained sediment detachment anomaly analysis result, the flatness of the river bottom, and the water flow velocity. Among them, the sediment secondary deposition safety analysis formula is: , where c is the weight of the soil detachment ratio, Vk is the volume of the soil in the areas on both sides of the river channel, Vc is the standard value of the soil volume, and Ec is the sediment secondary deposition safety analysis result; S5. Predict the sediment deposition state based on the sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result; In this embodiment, in step S5, predicting the sediment deposition state based on the sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result includes the following specific contents: Obtain the calculated sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result, and obtain the sediment deposition state prediction result by using the weighted summation method; S6. Issue a deposition state warning according to the predicted sediment deposition state; In this embodiment, in step S6, issuing a deposition state warning according to the predicted sediment deposition state includes the following specific contents: Obtain the sediment deposition state prediction result and the set deposition state warning value. If the obtained sediment deposition state prediction result is less than or equal to 50% of the set deposition state warning value, strengthen the monitoring of the river channel to timely grasp the development of sediment deposition. If the obtained sediment deposition state prediction result is greater than 50% of the set deposition state warning value and less than 80% of the set deposition state warning value, small-scale dredging equipment needs to be used for comprehensive cleaning in the next cycle to restore the river channel's flow capacity. If the obtained sediment deposition state prediction result is greater than 80% of the set deposition state warning value, excavator equipment is used for comprehensive dredging to restore the normal function of the river channel.

[0021] It should be noted that in this embodiment, the acquisition method of the set parameters in this embodiment (such as various weighting weights and the set warning value of the siltation state, etc.) is obtained by those skilled in the art through experiments based on historical data. The specific example of the experimental method is as follows: Obtain the bottom shape situation of the historical river and the river water flow data situation, and at the same time obtain the soil situation around the historical river, substitute them into each step of this embodiment to obtain the prediction result of the sediment siltation state, and at the same time the factual result of whether sediment siltation occurs in the future period. Based on the factual result and the sediment siltation state prediction result, substitute them into the fitting software for iterative fitting of the data, and output the value of the set parameters of this embodiment that meets the maximum judgment accuracy rate. Obtaining and optimizing the set parameters of this embodiment through historical data and experiments can significantly improve the judgment accuracy rate and warning effect of the system. First of all, by comparing the historical data with the actual results, the model can continuously adjust the parameters to improve the prediction accuracy rate, which is more reliable than setting parameters based on experience, especially in a complex river environment. Secondly, different rivers have different geographical and hydrological conditions, and the use of historical data enables the model to adapt to the characteristics of a specific area and provide more practical parameters. The fitting software can be matlab software.

[0022] It should be noted that in this embodiment, this embodiment has the following benefits and advantages. Analyze the difficulty of sediment siltation through the bottom shape situation of the river and the river water flow data situation, analyze the abnormal sediment shedding under the influence of river impact through the river water flow impact situation and the soil situation around the river, conduct a safety analysis of secondary sediment deposition based on the result of the abnormal sediment shedding analysis, predict the sediment siltation state based on the result of the sediment siltation difficulty analysis and the result of the secondary sediment deposition safety analysis, and issue a siltation state warning according to the predicted sediment siltation state, which helps to prevent and reduce the risks brought by sediment siltation, and can also improve the scientificity and effectiveness of river channel management, and promote the protection and sustainable development of the ecological environment.

[0023] Embodiment 2 As Figure 2 shown, this embodiment provides a big data-based river channel sediment siltation state analysis system for water conservancy projects, including: a data acquisition module for obtaining the bottom shape situation of the river and the river water flow data situation, and at the same time obtaining the soil situation around the river; a siltation difficulty analysis module for analyzing the siltation difficulty of sediment through the bottom shape situation of the river and the river water flow data situation; an abnormal shedding analysis module for analyzing the abnormal sediment shedding under the influence of river impact through the river water flow impact situation and the soil situation around the river; a deposition safety analysis module for conducting a safety analysis of secondary sediment deposition based on the result of the abnormal sediment shedding analysis; a safety warning module for predicting the sediment siltation state based on the result of the sediment siltation difficulty analysis and the result of the secondary sediment deposition safety analysis, and issuing a siltation state warning according to the predicted sediment siltation state.

[0024] Example 3 An electronic device according to an embodiment of the present invention includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes an analysis method for the sediment deposition state of a river channel in a large data-based water conservancy project by calling the computer program stored in the memory. It should be noted that: all computer programs for the analysis method of the sediment deposition state of a river channel in a large data-based water conservancy project are implemented in the C language.

[0025] Example 4 This embodiment provides a computer-readable storage medium, on which a rewritable computer program is stored; When the computer program runs on a computer device, it causes the computer device to execute the above-mentioned analysis method for the sediment deposition state of a river channel in a large data-based water conservancy project.

[0026] The above embodiments can be implemented in whole or in part by 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. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center in a wired network or / and wireless network manner. The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that includes one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0027] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present invention can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0028] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0029] In 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 way, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the couplings, direct couplings, or communication connections shown or discussed among each other can be through some interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical, or other forms.

[0030] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0031] In addition, the functional units in various embodiments of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0032] In the description of this specification, the descriptions referring to terms such as "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0033] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only to illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data, characterized in that, Including the following steps: S1. Obtain the bottom shape condition of the river and the river water flow data condition, and at the same time obtain the soil condition around the river; S2. Conduct sediment deposition difficulty analysis based on the bottom shape condition of the river and the river water flow data condition; S3. Conduct abnormal sediment detachment analysis under the influence of river impact through the river water impact condition and the soil condition around the river; S4. Conduct sediment secondary deposition safety analysis based on the abnormal sediment detachment analysis result; S5. Conduct sediment deposition state prediction based on the sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result; S6. Conduct deposition state warning according to the predicted sediment deposition state.

2. The method for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data according to claim 1, characterized in that, The sediment deposition difficulty analysis includes the following specific steps: S21. Obtain the three-dimensional contour image of the river bottom, and conduct river bottom flatness analysis based on the three-dimensional contour image of the river bottom; S22. Conduct sediment deposition difficulty analysis by obtaining the corresponding river bottom flatness analysis result, water flow velocity, and sediment content of the river at the corresponding position.

3. The method for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data according to claim 2, wherein The abnormal sediment detachment analysis includes the following specific steps: S31. Obtain the soil conditions, including the viscosity between soils and the surface crack conditions of the nearby soil, and conduct a soil erosion resistance assessment based on the obtained viscosity between soils and the surface cracks of the nearby soil. Among them, the soil erosion resistance assessment formula is: , where N is the number of soil areas near the river, Rj is the viscosity of the jth soil area, cz is the average distance from each area to the river, cj is the average distance from each point in the jth soil area to the river, sj is the number of cracks in the jth area, mj is the average crack area in the jth area, mz is the crack area safety value, where Rs is the viscosity standard value and Tr is the soil erosion resistance; S32. Obtain the flow velocity condition of the water flow and the evaluation result of the soil scourability, and conduct abnormal sediment detachment analysis based on the flow velocity condition of the water flow and the evaluation result of the soil scourability. Among them, the abnormal sediment detachment analysis formula is: , where Tl is the abnormal sediment detachment, Vs is the flow velocity of the water flow at the corresponding position, and Vm is the flow velocity safety value.

4. The method for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data according to claim 3, wherein The sediment secondary deposition safety analysis based on the abnormal sediment detachment analysis result includes the following specific contents: S41. Obtain the obtained abnormal sediment detachment analysis result, river bottom flatness condition, and water flow velocity condition; S42. Perform a safety analysis of sediment secondary deposition based on the obtained analysis results of sediment detachment anomalies, the flatness of the river bottom, and the water flow velocity. Among them, the safety analysis formula for sediment secondary deposition is: , where c is the weight of the proportion of soil detachment, Vk is the volume of the soil in the areas on both sides of the river channel, Vc is the standard value of the soil volume. Among them, Ec is the safety analysis result of sediment secondary deposition, and Hp is the flatness of the river bottom.

5. The method for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data according to claim 4, wherein, The sediment deposition state prediction based on the sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result includes the following specific contents: Obtain the calculated sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result, and use the weighted summation method to obtain the sediment deposition state prediction result.

6. The method for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data according to claim 5, wherein, The analysis formula for the flatness of the river bottom is as follows: , where M is the number of points on the three-dimensional contour, xi is the height of the i-th point on the river bottom, and xim is the average height of the river bottom. 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.

7. The method for analyzing the sediment deposition state of a river channel in a water conservancy project based on big data according to claim 1, characterized in that, The bottom shape condition of the river includes the contour image of the river bottom, the river water flow data condition includes the river impact speed condition and the sediment content of the river at the corresponding position, and the soil condition around the river includes the soil quality condition around the river. The soil quality condition includes the viscosity condition between soil qualities and the surface crack condition of the nearby soil; and the obtained corresponding type of data is stored in the corresponding storage component.

8. A big data-based river sediment deposition state analysis system for water conservancy projects, which is implemented based on the big data-based river sediment deposition state analysis method described in any one of claims 1-7, characterized in that The system includes: A data acquisition module, which is used to obtain the bottom shape condition of the river and the river water flow data condition, and at the same time obtain the soil condition around the river; A deposition difficulty analysis module, which conducts sediment deposition difficulty analysis based on the bottom shape condition of the river and the river water flow data condition; An abnormal detachment analysis module, which conducts abnormal sediment detachment analysis under the influence of river impact through the river water impact condition and the soil condition around the river; A deposition safety analysis module, which conducts sediment secondary deposition safety analysis based on the abnormal sediment detachment analysis result; A safety warning module, which conducts sediment deposition state prediction based on the sediment deposition difficulty analysis result and the sediment secondary deposition safety analysis result, and conducts deposition state warning according to the predicted sediment deposition state.

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

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