Method, device, medium and equipment for monitoring sediment content

Abstract

The present invention discloses a method, device, medium, and equipment for monitoring sediment content, relating to the field of water conservancy. The method comprises: constructing an initial sediment content calculation model; the initial sediment content calculation model includes a nonlinear relationship between the total weight of water and sediment and the sediment content under different rainfall types; optimizing the coefficients of the nonlinear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets a convergence condition, and determining the initial sediment content calculation model that meets the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the measured value of the sediment content per unit volume is minimized; and determining a monitoring value for the sediment content per unit volume in the monitored area based on the water and sediment volume, rainfall type, total weight of water and sediment, and the sediment content calculation model. This method can improve the accuracy of sediment content monitoring.

Description

Technical Field

[0001] The present invention relates to the field of water conservancy, and in particular to a method, device, medium and equipment for monitoring sediment content. Background Art

[0002] Currently, the weight of sediment per unit volume is commonly used to measure the severity of soil erosion in hydrological and soil erosion monitoring. Higher sediment concentrations indicate severe soil erosion and a more prominent soil erosion problem. Sediment content is typically measured using automated sampling and weighing equipment. This involves using a water pipe to direct sediment into the water and sediment bucket of an automated sediment monitor. The monitor's electronic scale automatically weighs the sediment, calculating the sediment content based on the relationship between the total weight of water and sediment and the sediment content. This calculated sediment content is then transmitted to a receiving server via the Internet of Things (IoT).

[0003] Existing automatic sampling and measurement equipment uses weighing to determine the relationship between sediment content and the total weight of water and sediment. Experimental results show a linear relationship between sediment content and the total weight of water and sediment, and the parameters of this linear relationship are programmed into the device chip. Equipment that uses weighing to measure sediment content uses a linear function to calibrate the relationship between the total weight of water and sediment and sediment content, and this linear relationship is fixed within the device. This method of measuring sediment content suffers from low accuracy in practical applications, primarily due to the impact of soil type, soil thickness, rock composition, rainfall, rainfall intensity, and peak flood flow on sediment content. This results in significant errors in sediment content measurements.

[0004] Therefore, there is an urgent need for a method to improve the accuracy of sediment content monitoring. Summary of the Invention

[0005] Based on this, it is necessary to provide a method, device, medium and equipment for monitoring sediment content to address the above technical problems. This method can improve the monitoring accuracy of sediment content.

[0006] The present invention adopts the following technical solutions:

[0007] The present invention provides a method for monitoring sediment content, comprising:

[0008] Constructing an initial sediment content calculation model; the initial sediment content calculation model includes a nonlinear relationship between the total weight of water and sediment and the sediment content under different rainfall types;

[0009] The coefficients of the nonlinear relationship in the initial sediment content calculation model are optimized until the initial sediment content calculation model meets the convergence condition, and the initial sediment content calculation model that meets the convergence condition is determined as the sediment content calculation model; the convergence condition is that the error between the calculated value of the unit volume sediment content and the tested value of the unit volume sediment content is minimized; the calculated value of the unit volume sediment content is determined based on the initial sediment content calculation model; and the tested value of the unit volume sediment content is determined based on the weighing method;

[0010] The monitoring value of sediment content per unit volume in the area to be monitored is determined based on the water and sediment volume, rainfall type, total weight of water and sediment and sediment content calculation model in the area to be monitored.

[0011] Preferably, the process of constructing the initial sediment content calculation model specifically includes:

[0012] We conducted multiple gravimetric tests under different rainfall types in the study area and analyzed the results to determine that the total weight of water and sediment under different rainfall types has a nonlinear relationship with the sediment content.

[0013] The initial sediment content calculation model is constructed based on the nonlinear relationship.

[0014] Preferably, the initial sediment content calculation model is:

[0015] P i =d i w+k i ;

[0016] in, P i For the i The sediment content corresponding to each rainfall type is i =1,2,..., n ; n is the number of rainfall types, k i For the i The constant corresponding to each rainfall type, w The total weight of water and sand in the water and sand bucket of the monitoring equipment each time is measured. d i The soil in the study area i The calibration coefficient related to the proportion of each rainfall type.

[0017] Preferably, the monitoring value of the sediment content per unit volume of the area to be monitored is determined based on the water and sediment volume, rainfall type, total weight of water and sediment, and sediment content calculation model of the area to be monitored, specifically including:

[0018] Obtain the sediment content calculation function corresponding to the rainfall type from the sediment content calculation model;

[0019] Substitute the total weight of water and sediment into the sediment content calculation function to obtain the sediment content of the area to be monitored;

[0020] The ratio of the sediment content to the water-sand volume in the area to be monitored is determined as the monitoring value of the sediment content per unit volume in the area to be monitored.

[0021] Preferably, the rainfall types include first intensity rainfall, second intensity rainfall, third intensity rainfall, and fourth intensity rainfall; the surface runoff of the first intensity rainfall carries low-density materials mainly composed of humus in the soil surface layer; the surface runoff of the second intensity rainfall carries soil; the surface runoff of the third intensity rainfall carries a mixture of soil and coarse sand; the surface runoff of the fourth intensity rainfall carries coarse sand and gravel.

[0022] The present invention provides a device for predicting sediment content, comprising:

[0023] A construction module is used to construct an initial sediment content calculation model; the initial sediment content calculation model includes a nonlinear relationship between the total weight of water and sediment and the sediment content under different rainfall types;

[0024] An optimization module is used to optimize the coefficients of the nonlinear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets the convergence condition, and the initial sediment content calculation model that meets the convergence condition is determined as the sediment content calculation model; the convergence condition is that the error between the calculated value of the unit volume sediment content and the tested value of the unit volume sediment content is minimized; the calculated value of the unit volume sediment content is determined based on the initial sediment content calculation model; the tested value of the unit volume sediment content is determined based on the weighing method;

[0025] The determination module is used to determine the monitoring value of the unit volume of sediment content in the area to be monitored based on the water and sediment volume, rainfall type, total weight of water and sediment and sediment content calculation model of the area to be monitored.

[0026] The present invention provides a computer-readable storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned sediment content prediction method is implemented.

[0027] The present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the above-mentioned sediment content prediction method is implemented.

[0028] At least one of the above technical solutions adopted by the present invention can achieve the following beneficial effects:

[0029] An initial sediment content calculation model is constructed. The initial sediment content calculation model is determined based on the test results of multiple experiments and is tailored to actual hydrological and soil erosion processes. The coefficients of the nonlinear relationship in the initial sediment content calculation model are optimized until the initial sediment content calculation model meets the convergence criteria. The initial sediment content calculation model that meets the convergence criteria is determined as the sediment content calculation model. The convergence criteria are that the error between the calculated value of the unit volume sediment content and the tested value of the unit volume sediment content is minimized. The calculated value of the unit volume sediment content is determined based on the initial sediment content calculation model. The tested value of the unit volume sediment content is determined using a weighing method. The weighing method is used to determine the initial coefficients of the piecewise function in the initial sediment content calculation model. The initial coefficients of the nonlinear relationship are verified until the error is minimized, ensuring high monitoring accuracy of the model. The monitoring value of the unit volume sediment content in the monitored area is determined based on the water and sediment volume, rainfall type, total weight of water and sediment, and the sediment content calculation model. This method can improve the accuracy of sediment content monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0031] Figure 1 A schematic diagram of determining sediment content using a weighing method provided by the present invention;

[0032] Figure 2 A schematic flow chart of a sediment content monitoring method provided by the present invention;

[0033] Figure 3 A schematic diagram of a weighing method for monitoring sediment content provided by the present invention;

[0034] Figure 4 A schematic diagram of a sediment content monitoring device provided by the present invention;

[0035] Figure 5 A schematic diagram of a computer device for implementing a sediment content prediction method provided by the present invention. DETAILED DESCRIPTION

[0036] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and corresponding drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0037] Devices such as desktop computers, servers, and laptop computers that can execute the solution of the present invention are described below with the server as the execution subject for the sake of convenience.

[0038] Figure 1 This is a schematic diagram of the present invention's gravimetric method for determining sediment content. Gravimetric sediment measurement devices typically use a linear function to calibrate the relationship between the total weight of water and sediment and the sediment content, and this linear relationship is fixed within the device. However, this method of measuring sediment content has low accuracy in practice. This is primarily due to the fact that different soil types, soil thickness, rock composition, rainfall, rainfall intensity, and peak flood flow all affect sediment content, leading to large errors in sediment content measurements.

[0039] The technical solutions provided by various embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0040] Figure 2 The following is a flow chart of a method for monitoring sediment content in the present invention, which specifically includes the following steps:

[0041] S201: constructing an initial sediment content calculation model; the initial sediment content calculation model includes a nonlinear relationship between the total weight of water and sediment and the sediment content under different rainfall types.

[0042] In an exemplary embodiment, the process of constructing an initial sediment content calculation model specifically includes: conducting multiple weighing tests under different rainfall types in the study area, and analyzing the results of the multiple weighing tests to determine that the total weight of water and sand under different rainfall types has a nonlinear relationship with the sediment content; and constructing an initial sediment content calculation model based on the nonlinear relationship.

[0043] In an exemplary embodiment, the rainfall types include first intensity rainfall, second intensity rainfall, third intensity rainfall, and fourth intensity rainfall; the surface runoff of the first intensity rainfall carries low-density materials mainly composed of humus in the soil surface layer; the surface runoff of the second intensity rainfall carries soil; the surface runoff of the third intensity rainfall carries a mixture of soil and coarse sand; and the surface runoff of the fourth intensity rainfall carries coarse sand and gravel.

[0044] Specifically, under natural conditions, runoff occurs when rainfall exceeds the soil's infiltration capacity. Soil infiltration capacity is closely related to soil thickness, porosity, previous soil moisture content, specific gravity of soil components, parent material, and rock composition. Runoff production is closely related to soil type, rainfall, rainfall intensity, rainfall duration, terrain slope, slope length, and vegetation cover. Affected by the above factors, in the same area, when the rainfall and rainfall intensity are less than a certain threshold, the surface runoff carries low-density materials mainly composed of humus in the soil surface layer from the beginning of runoff generation. The sediment density of different types of soil is about 1.3-1.6T / W3, corresponding to the first intensity rainfall, and this time period is recorded as t0-t1 (set as T1); as the rainfall continues, the runoff volume continues to increase, and the runoff scouring force increases accordingly. Within a certain threshold range, the surface runoff carries soil. The sediment density of different types of soil is about 1.6-1.9T / W3, corresponding to the second intensity rainfall, and this time period is recorded as t1-t2 (set as T2); as the rainfall continues, the runoff converges into small floods, and the scouring force further increases. Within a certain threshold range, Surface runoff carries a mixture of soil and coarse sand, with different soil types carrying a sediment density of approximately 1.9-2.5 T / W³. This corresponds to the third rainfall intensity, and this period is recorded as t2-t3 (T3). As rainfall continues, runoff develops into a flood, and the scouring force increases rapidly. Within a certain threshold, surface runoff carries coarse sand and gravel, with different soil types carrying a sediment density of approximately 2.5-2.8 T / W³. This corresponds to the fourth rainfall intensity, and this period is recorded as t3-t4 (T4). After the flood recedes, as the scouring force decreases, the heavier sediment gradually settles, and the sediment carried in the water has a density similar to that of the first period. This corresponds to the fifth rainfall intensity, and this period is recorded as t4-t5 (T5). Because the material composition of sediment varies under different rainfall types, even if the same volume of sediment is contained in the same volume of water and sediment, the sediment content varies.

[0045] The duration of rainfall of the first intensity, the second intensity, the third intensity and the fourth intensity is determined based on on-site in-situ tests.

[0046] Multiple tests were conducted in the same test area under the first, second, third, and fourth intensity rainfall types. The test results were analyzed to obtain conclusions. Based on the conclusions, a calculation model for initial sediment content was constructed. The calculation model for initial sediment content is a piecewise function, as shown in formula (1):

[0047] P i =d i w+k i (1);

[0048] in, P i For the i The sediment content corresponding to each rainfall type is i = 1,2,..., n ; n is the number of rainfall types, k i For the i The constant corresponding to each rainfall type, w The total weight of water and sand in the water and sand bucket of the monitoring equipment each time is measured. d i The soil in the study area i The calibration coefficient related to the proportion of each rainfall type.

[0049] S202: Optimizing the coefficients of the nonlinear relationship in the initial sediment content calculation model until the initial sediment content calculation model satisfies the convergence condition, and determining the initial sediment content calculation model that satisfies the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the tested value of the sediment content per unit volume is minimized; the calculated value of the sediment content per unit volume is determined according to the initial sediment content calculation model; the tested value of the sediment content per unit volume is determined according to the weighing method.

[0050] Specifically, an automatic sampling and measuring device for sediment content is often used for testing in hydrology and soil erosion monitoring. The principle of the automatic sampling and measuring device is sampling and weighing, that is, a water pipe is used to guide the sand-containing water flow into the water and sediment bucket of the automatic sediment monitor. The electronic scale in the monitor automatically weighs and calculates the sediment content based on the relationship between the total weight of water and sand in the water and sediment bucket built into the automatic sampling and measuring device and the sediment content. The sediment content result is then sent to the receiving server through the Internet of Things.

[0051] The calculation method of sediment mass is shown in formula (2):

[0052] W 泥 =WW 水 =WV 水 ·ρ 水 =W-(VV 泥 ) (2);

[0053] in, W 泥 is the sediment quality, W is the total mass of the sediment sample, W 水 is the mass of water in the sediment sample, V 水 is the volume of water in the sediment sample, ρ 水 is the density of water,V is the total volume of sediment sample, V 泥 is the volume of sediment in the sediment sample.

[0054] The calculation method of water density is shown in formula (3):

[0055] ρ 水 =W -V · ρ 水 + W 泥 / d (3);

[0056] in, ρ 水 is the density of water, W is the total mass of the sediment sample, W 泥 is the sediment quality, d It is the calibration coefficient related to the soil specific gravity in the monitoring station control area.

[0057] The calculation method of sediment mass is shown in formula (4):

[0058] W 泥 =[ ( W -V · ρ 水 ) · d ] / (d -1) (4);

[0059] in, W 泥 is the sediment quality, W is the total mass of the sediment sample, V is the total volume of sediment sample, ρ 水 is the density of water, d It is the calibration coefficient related to the soil specific gravity in the monitoring station control area.

[0060] The calculation method of sediment content is shown in formula (5):

[0061] P = ( W -V · ρ 水 )·d / (d-1)·V(5;

[0062] in, P is the sediment content, W is the total mass of the sediment sample, V is the total volume of sediment sample, ρ 水 is the density of water, d It is the calibration coefficient related to the soil specific gravity in the monitoring station control area.

[0063] To calculate the sediment content (P), it is necessary to know the total mass of the sediment sample (W), the total volume of the sediment sample (V), and the calibration coefficient (d) related to the soil specific gravity in the monitoring station's control area. The total mass of the sediment sample is accurately measured using a high-precision balance. Therefore, the sediment content in the water-sediment sample is mainly determined by the volume of the water-sediment sample and the sediment specific gravity.

[0064] Specifically, the present invention determines the initial coefficients in the initial sediment content calculation model under different rainfall types by weighing method. In the same basin, due to different rainfall intensities and different terrains during rainfall, the sediment density at different time periods is different. Through research, it is found that the sediment content is a set of piecewise functions, which are basically divided into 5 sections. The length of each section needs to be measured by on-site in-situ tests. Due to the different soil geological conditions in different regions, the length of the period is different at each measuring station. The relationship between sediment content and soil density and the total weight of water and sand is as follows: Figure 3 As shown, the model Figure 3 shown.

[0065] Specifically, the total weight of water and sediment and the measurement time were substituted into the initial sediment content calculation model to obtain the calculated sediment content. The ratio of the calculated sediment content to the volume of water and sediment was then used to determine the calculated sediment content per unit volume. The actual sediment content per unit volume was then determined using a weighing method. The error between the calculated and actual values ​​was then calculated.

[0066] Specifically, in order to reduce the error in step S103, weighing tests are performed on multiple sediment samples under different rainfall types. The specific number of tests is set according to engineering practice, and the sediment content of the sediment samples is predicted based on the initial sediment content calculation model. The results of the weighing test are compared with the predicted values ​​of the initial sediment content calculation model, and the error between the results of the weighing test and the predicted values ​​of the initial sediment content calculation model is calculated. The initial coefficient is checked to reduce the error. When the error is minimized, the corresponding coefficient is the final coefficient, and the sediment content calculation model is determined based on the final coefficient.

[0067] S203: Determine a monitoring value of sediment content per unit volume in the area to be monitored based on the water and sediment volume, rainfall type, total weight of water and sediment, and sediment content calculation model of the area to be monitored.

[0068] In an exemplary embodiment, the unit volume sediment content monitoring value of the area to be monitored is determined based on the water and sediment volume, rainfall type, total weight of water and sediment, and sediment content calculation model of the area to be monitored, specifically including: obtaining the sediment content calculation function corresponding to the rainfall type from the sediment content calculation model; substituting the total weight of water and sediment into the sediment content calculation function to obtain the sediment content of the area to be monitored; and determining the ratio of the sediment content of the area to be monitored to the water and sediment volume as the unit volume sediment content monitoring value of the area to be monitored.

[0069] Specifically, if the predicted period falls within the first rainfall intensity category, the sediment content is calculated using the first linear function in the sediment content calculation model. The water and sediment mass of the predicted area is input into the first linear function to obtain the sediment content. The ratio of the sediment content to the sediment volume of the predicted area is then used as the predicted sediment content per unit volume.

[0070] When applying the sediment content prediction method provided by the present invention, it is not necessary to Figure 2 The steps are executed in the order shown. The specific execution order of the steps can be determined according to needs, and the present invention does not limit this.

[0071] The above is a method for monitoring sediment content provided by one or more embodiments of the present invention. Based on the same idea, the present invention also provides a corresponding device for monitoring sediment content, such as Figure 2 shown.

[0072] Figure 4 A schematic diagram of a sediment content monitoring device provided by the present invention, comprising:

[0073] The construction module 401 is used to construct an initial sediment content calculation model; the initial sediment content calculation model includes a nonlinear relationship between the total weight of water and sediment and the sediment content under different rainfall types.

[0074] Optimization module 402 is used to optimize the coefficients of the nonlinear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets the convergence condition, and determine the initial sediment content calculation model that meets the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the unit volume sediment content and the tested value of the unit volume sediment content is minimized; the calculated value of the unit volume sediment content is determined based on the initial sediment content calculation model; the tested value of the unit volume sediment content is determined based on the weighing method.

[0075] The determination module 403 is used to determine the monitoring value of the sediment content per unit volume of the area to be monitored based on the water and sediment volume, rainfall type, total weight of water and sediment and sediment content calculation model of the area to be monitored.

[0076] The specific definition of a device for predicting sediment content can be found in the definition of a method for predicting sediment content described above and will not be repeated here. Each module in the device for predicting sediment content can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the modules can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a memory in a computer device in software form, so that the processor can call and execute the operations corresponding to each of the modules.

[0077] The present invention also provides a computer-readable storage medium, which stores a computer program, which can be used to execute the above Figure 1 A method for predicting sediment content is provided.

[0078] The present invention also provides Figure 5 The structural diagram of the computer equipment shown in FIG. Figure 5 As shown in the figure, at the hardware level, the computer device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory. Of course, it may also include other hardware required for the business. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it to achieve the above Figure 1 A method for predicting sediment content is provided.

[0079] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware using a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes in the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0080] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of the present invention.

Claims

1. A method for monitoring sediment content, characterized in that: include: Construct an initial sediment content calculation model; the initial sediment content calculation model includes a nonlinear relationship between the total weight of water and sediment and the sediment content under different rainfall types; the initial sediment content calculation model is: P i =d i w+k i in, P i For the i The sediment content corresponding to each rainfall type is i = 1,2,..., n ; n is the number of rainfall types, k i For the i The constant corresponding to each rainfall type, w The total weight of water and sand in the water and sand bucket of the monitoring equipment each time is measured. d i The soil in the study area i The calibration coefficient related to the proportion of each rainfall type; Optimizing the coefficients of the nonlinear relationship in the initial sediment content calculation model until the initial sediment content calculation model satisfies a convergence condition, and determining the initial sediment content calculation model that satisfies the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the tested value of the sediment content per unit volume is minimized; the calculated value of the sediment content per unit volume is determined based on the initial sediment content calculation model; and the tested value of the sediment content per unit volume is determined based on a weighing method; The monitoring value of the unit volume of sediment content in the area to be monitored is determined based on the water and sediment volume, rainfall type, total weight of water and sediment and the sediment content calculation model in the area to be monitored.

2. The method according to claim 1, wherein The construction process of the initial sediment content calculation model includes: We conducted multiple gravimetric tests under different rainfall types in the study area and analyzed the results to determine that the total weight of water and sediment under different rainfall types has a nonlinear relationship with the sediment content. An initial sediment content calculation model is constructed based on the nonlinear relationship.

3. The method according to claim 1, wherein Determining the monitoring value of the unit volume of sediment content in the area to be monitored based on the water and sediment volume, rainfall type, total weight of water and sediment, and the sediment content calculation model in the area to be monitored specifically includes: Obtain the sediment content calculation function corresponding to the rainfall type from the sediment content calculation model; Substituting the total weight of water and sediment into the sediment content calculation function to obtain the sediment content of the area to be monitored; The ratio of the sediment content of the area to be monitored to the volume of water and sediment is determined as the monitoring value of the sediment content per unit volume of the area to be monitored.

4. The method according to claim 1, wherein The rainfall types include first intensity rainfall, second intensity rainfall, third intensity rainfall, and fourth intensity rainfall; the surface runoff of the first intensity rainfall carries low-density materials mainly composed of humus in the soil surface layer; the surface runoff of the second intensity rainfall carries soil; the surface runoff of the third intensity rainfall carries a mixture of soil and coarse sand; and the surface runoff of the fourth intensity rainfall carries coarse sand and gravel.

5. A device for monitoring sediment content, characterized in that: include: A construction module is used to construct an initial sediment content calculation model; the initial sediment content calculation model includes a nonlinear relationship between the total weight of water and sediment and the sediment content under different rainfall types; an optimization module for optimizing the coefficients of the nonlinear relationship in the initial sediment content calculation model until the initial sediment content calculation model satisfies a convergence condition, and determining the initial sediment content calculation model that satisfies the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the tested value of the sediment content per unit volume is minimized; the calculated value of the sediment content per unit volume is determined based on the initial sediment content calculation model; and the tested value of the sediment content per unit volume is determined based on a weighing method; The determination module is used to determine the monitoring value of the unit volume of sediment content in the area to be monitored based on the water and sediment volume, rainfall type, total weight of water and sediment and the sediment content calculation model of the area to be monitored.

6. A computer-readable storage medium, characterized in that The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

7. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein when the processor executes the program, the method according to any one of claims 1 to 4 is implemented.

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