A method, equipment, medium, and computer program for estimating the loss rate of flood control riprap.
By acquiring overall image information of flood control boulders and performing multi-dimensional loss rate calculations, the problem of accuracy in estimating the loss rate of flood control boulders was solved, thus achieving precision and scientific management of flood control resources.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU WATER CONSERVANCY SCI RES INST
- Filing Date
- 2026-07-02
- Publication Date
- 2026-07-31
AI Technical Summary
The lack of a unified method for estimating the loss rate of flood control boulders in existing technologies leads to errors in flood control resource management, resulting in resource waste. Furthermore, relying on subjective experience makes it difficult to accurately estimate the effective reserves of flood control boulders.
By acquiring overall image information of the flood control rubble pile, determining its planar dimensions, constructing a three-dimensional model, performing uniform sampling and testing its physical and mechanical properties, and combining this with a multi-dimensional loss rate calculation model, the accurate estimation of the loss rate of the flood control rubble pile can be achieved.
This improved the scientific rigor and accuracy of flood control riprap loss rate estimation, reduced resource waste, and enhanced the scientific rigor and efficiency of flood control resource management.
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Figure CN122492798A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of flood control in water conservancy projects, and in particular to a method, equipment, medium, and computer program for estimating the loss rate of flood control boulders. Background Technology
[0002] Flood control riprap is an indispensable basic and strategic emergency material in the water conservancy and flood control system. It serves as a "ballast" to safeguard rivers and protect the lives and property of the people. In critical moments of emergency rescue, it is the preferred material for dealing with major emergencies such as dike breaches, piping, and landslides. Through techniques such as riprap reinforcement, seepage control, and pond filling for foundation reinforcement, it can quickly stabilize the situation, control its development, and buy valuable time for subsequent rescue and disposal.
[0003] Accurate calculation of flood control boulders reserves is a core prerequisite for achieving refined management of flood control materials and improving the scientific nature of emergency decision-making. For example, CN119469349A discloses a high-precision method for calculating flood control boulders reserves. This method uses instruments to measure the volume of boulders to determine the reserve quantity. However, the reserve quantity calculated by this method does not represent the effective reserve quantity of boulders. Some boulders may not meet the flood control requirements. It is necessary to estimate the loss rate of boulders to obtain the quality of boulders and clarify their effective reserves.
[0004] Currently, the loss rate of general stones is typically estimated using mass, volume, or area methods. The general approach is to calculate the actual mass, volume, or surface area of the stone and assess its loss rate relative to its original mass, volume, or surface area. However, flood control boulders differ from general stones in that they are used in flood control projects or as riprap for riverbank protection. They are harder and larger, and their loss scenarios differ from those of general stones, making it impossible to directly apply the loss rate estimation methods used for general stones. Currently, there is no unified loss rate estimation method for flood control boulders in the industry. Existing technologies rely heavily on subjective experience, which can easily lead to errors in estimating the replenishment amount and waste of flood control resources. For example, in some regions, the loss rate of flood control boulders is based on the fixed loss rate stipulated in the regional water conservancy flood control material reserve management regulations. However, fixed losses vary across different regions and do not actually conform to the inherent loss patterns of flood control boulders themselves. Summary of the Invention
[0005] Therefore, it is necessary to provide a method, equipment, medium, and computer program for estimating the loss rate of flood control boulders that can be estimated more accurately and from multiple dimensions, in order to address the above-mentioned technical problems.
[0006] A method for estimating the loss rate of flood control riprap, the method comprising:
[0007] Acquire the overall image information of the flood control boulders pile, and determine the planar size of the flood control boulders in the image in turn based on the overall image information. If the planar size of the boulders is smaller than the preset minimum size, the current boulder size is determined to be unqualified. Calculate the ratio of the number of unqualified boulders in the image to the total number of boulders as the boulder size loss rate.
[0008] A three-dimensional model of the boulders is constructed based on the overall image information to obtain the measured volume of the flood control boulders. The measured volume is corrected based on a pre-established nonlinear relationship model between the number of years of storage and the reduction of voids inside the boulder pile. The volume loss rate of the flood control boulders is calculated by combining the corrected measured volume of the boulders, the known acceptance density of the boulders, and the storage quality of the boulder pile ledger records.
[0009] Uniform sampling was conducted on the flood control rubble pile, and the physical and mechanical properties of the sampled rubble samples were tested. The ratio of the number of substandard rubble samples to the total number of rubble samples was calculated as the performance loss rate of the rubble.
[0010] The overall loss rate of flood control boulders is estimated based on the size loss rate, volume loss rate, and performance loss rate.
[0011] In one embodiment, the method further includes: using a drone oblique camera or a handheld 3D laser scanner to acquire overall image information of the flood control boulders pile.
[0012] In one embodiment, the method further includes: identifying and segmenting the flood control boulders in the image based on the overall image information to obtain images of multiple individual boulders, and counting the images of the individual boulders to obtain the total number of boulders;
[0013] The area of a single stone is calculated by examining the image of the single stone;
[0014] The size of the flood control blocks is determined sequentially using the single-sided surface area as the size of a single block.
[0015] In one embodiment, the preset minimum size is further defined as the preset minimum single-sided surface area of the flood control boulders, which is calculated based on the following formula:
[0016]
[0017] in, This indicates the minimum size that is set. This indicates the predicted average thickness of the flood control boulders. This indicates the predicted density of the flood control boulders during acceptance testing. This indicates the minimum weight value of qualified flood control boulders.
[0018] In one embodiment, the volume loss rate of the flood control boulders is calculated based on the following modified formula:
[0019]
[0020] in, This indicates the volume loss rate of the flood control boulders. Indicates the measured volume. This represents the volume correction factor during the acceptance of the stone block stacks. This represents the gap reduction correction factor. This indicates the preset gap reduction rate. This indicates the current number of years of flood control boulders in reserve. =1,2,…,n, This indicates the predicted density of the flood control boulders during acceptance testing. This indicates the storage quality of the stone inventory records.
[0021] In one embodiment, the method further includes: uniformly sampling the flood control boulders pile and conducting physical and mechanical property tests on the sampled boulders; wherein the physical and mechanical property tests include dry density, softening coefficient, and natural compressive strength tests.
[0022] If any one of the three performance tests on the stone sample fails, the stone is deemed unqualified.
[0023] In one embodiment, the method further includes: determining the weights of the size loss rate, the volume loss rate, and the performance loss rate through expert scoring;
[0024] The overall loss rate of flood control boulders is estimated by weighted summation based on the size loss rate, volume loss rate, performance loss rate and their corresponding weights.
[0025] The present invention further provides a computer device, which includes a memory, a processor, and a computer program / instructions stored in the memory, wherein the processor executes the computer program / instructions to implement the steps of the above-described method.
[0026] The present invention further provides a computer-readable storage medium having a computer program / instructions stored thereon, wherein the computer program / instructions, when executed by a processor, implement the steps of the above-described method.
[0027] The present invention further provides a computer program product comprising a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.
[0028] The present invention has the following beneficial effects:
[0029] (1) Based on the size characteristics of the flood control boulders pile with flush edges and flat tops, image information is used to quickly estimate the size loss rate of the boulders;
[0030] (2) A nonlinear correlation between the number of years of flood control boulders and the reduction of voids inside the boulders pile was constructed to calculate the volume loss rate. The measured volume obtained by using image information was corrected to realize the rapid and accurate assessment of the volume loss rate using image information.
[0031] (3) Considering the performance loss of flood control boulders, the loss of boulders is quantitatively assessed from three dimensions: size, stock and performance. The comprehensive loss rate of flood control boulders is estimated based on the loss rate of the three dimensions, which can greatly improve the scientificity, accuracy and effectiveness of the comprehensive loss rate estimation results. Attached Figure Description
[0032] Figure 1 This is a flowchart illustrating a method for estimating the loss rate of flood control boulders in one embodiment.
[0033] Figure 2 This is a flowchart illustrating a method for estimating the loss rate of flood control boulders in a specific embodiment.
[0034] Figure 3 This is a schematic diagram of the size markings of the stones on site in a specific embodiment.
[0035] Figure 4 This is a schematic diagram of the stone extraction results in a specific embodiment.
[0036] Figure 5 This is a schematic diagram of a histogram showing the area of the boulders in a specific embodiment.
[0037] Figure 6 This is a schematic diagram of a three-dimensional model of a block stone constructed in a specific embodiment.
[0038] Figure 7 This is a structural block diagram of a flood control riprap loss rate estimation device in one embodiment.
[0039] Figure 8 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation
[0040] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this application.
[0041] In one embodiment, such as Figure 1 As shown, a method for estimating the loss rate of flood control riprap is provided, including the following steps:
[0042] Step 102: Obtain the overall image information of the flood control boulders pile. Based on the overall image information, determine the planar size of the flood control boulders in the image in sequence. If the planar size of the boulders is smaller than the preset minimum size, it is determined that the current boulder size is unqualified. Calculate the ratio of the number of unqualified boulders in the image to the total number of boulders as the boulder size loss rate.
[0043] Flood control riprap is the preferred material for handling major emergencies such as dike breaches, piping, and landslides, and is usually stored in areas prone to such incidents. The characteristics of flood control riprap are as follows: reliable physical and mechanical properties; it must be hard and unweathered; its weight is standardized—too light and ineffective, too heavy and cumbersome; and its placement is important—it must be stored with edges aligned, tops level, and internally compacted. However, flood control riprap is typically stored for decades, and the longer it is stored, the greater the loss.
[0044] Traditionally, the estimation of flood control riprap loss relies on manual experience, which is a crude and vague method of judgment. In order to achieve a refined and quantitative estimation of flood control riprap loss, this invention, based on long-term practical experience in water conservancy project management, proposes to consider the loss rate from three dimensions: size, stock, and performance, and to quantify it scientifically.
[0045] Size loss refers to the situation where, after many years of storage, the size of flood control boulders no longer meets the requirements for flood control boulders due to various factors such as collision and breakage, weathering, etc.
[0046] This invention discovers that flood control boulders have the characteristic of being flush at the edges and flat at the top, which makes it possible to evaluate the size of the boulders through image processing. Therefore, this invention proposes to estimate the size of the boulders using image technology.
[0047] Specifically, a drone tilt camera or a handheld 3D laser scanner can be used to obtain overall image information of the flood control boulders.
[0048] After obtaining the overall image information of the flood control boulders, the boulders in the image are identified and the image is segmented based on the overall image information to obtain images of multiple individual boulders; the area of the boulders to be evaluated is calculated based on the images of the individual boulders; and the size of the flood control boulders is determined sequentially based on the area of the individual boulders.
[0049] If the size of the stone block is smaller than the preset minimum size, the current stone block size is deemed unqualified.
[0050] In this embodiment, the preset minimum size is:
[0051]
[0052] in, This indicates the minimum size that is set. This indicates the average thickness of the flood control riprap; in this embodiment, 0.2m is used as the average thickness of the riprap. This indicates the density of the flood control boulders during acceptance (which can be obtained from the flood control boulders ledger records). This indicates the minimum weight value for qualified flood control riprap, based on the weight of a single riprap. The requirement of not less than 15kg is taken as 15kg. That is, if the surface area of a single side of the stone is greater than or equal to... If the dimensions of the stone are within acceptable limits, then the stone is considered to be of acceptable size. If the surface area of a single side of the stone is less than [a certain value], then the stone is considered to be of acceptable size. If the dimensions of the stone are not up to standard, then the stone is deemed to be of unacceptable size.
[0053] The size loss rate X is obtained by calculating the percentage of non-compliant stones out of the total number of stones being evaluated.
[0054]
[0055] in: This represents the number of stones that do not meet the size requirements among the measured stones. This represents the total number of stones measured.
[0056] Identifying the size of stones using image information enables digital and automated size assessment. By setting minimum values for size comparison, the subjectivity of manual screening can be avoided, resulting in both standardization and flexibility.
[0057] Step 104: Construct a three-dimensional model of the boulders based on the overall image information to obtain the measured volume of the flood control boulders pile. Based on the pre-established nonlinear relationship model between the number of years of storage and the reduction of the internal voids of the boulders pile, correct the measured volume. Combine the corrected measured volume of the boulders, the known acceptance density of the boulders, and the storage quality of the boulders pile ledger records to calculate the volume loss rate of the flood control boulders.
[0058] The volume loss of the boulders is due to the loss in total volume and mass of the boulders relative to the initial storage period caused by years of wind and sun exposure. To obtain the current storage volume of the flood control boulders, this invention uses technologies such as UAV oblique photography and handheld 3D laser scanning to obtain overall image information of the flood control boulder pile (UAV oblique photography images or laser point cloud data). Then, the oblique photography images or laser point cloud data are used to create a 3D model of the boulder pile to obtain a 3D digital model. The volume of the 3D digital model is then calculated. For the acquisition of the original measured volume, please refer to the applicant's previously published patent application CN119469349A.
[0059] After obtaining the estimated volume of flood control boulders, this invention proposes the following formula for the volume loss rate of the boulders:
[0060]
[0061] in, This indicates the volume loss rate of the stone block. This indicates the measured volume. This represents the volume correction factor during the acceptance of the stone block stacks. This represents the gap reduction correction factor. This represents the preset gap reduction rate. This indicates the current number of years the flood control boulders are in reserve. =1,2,…,n, This indicates the predicted density of the flood control boulders during acceptance testing. This indicates the storage quality of the stone inventory records.
[0062] In this embodiment The value is 0.95. The value is 0.03. If the value is 0.5, then the formula for the volume loss rate is:
[0063]
[0064] The principle is as follows: In actual engineering, the volume of rubble piles is usually measured as 0.95 times the actual volume (porosity of 0.05) during acceptance. At this time, the gaps between the rubble piles are relatively large. Over time, the weight of the rubble piles will cause the gaps between them to gradually decrease. However, according to the applicant's statistical analysis of flood control rubble piles with different storage years in multiple regions, as the storage time of the rubble piles reaches a certain number of years, the gaps between the rubble piles will gradually stabilize and no longer decrease significantly, that is, the volume reduction rate caused by the shrinkage of the gaps will decrease. Based on this, this invention uses the storage time (years) n as a variable in the design of the calculation formula for the volume loss rate Y, constructs a nonlinear relationship model between the storage time and the porosity, and performs parameter calibration and verification on the constructed model based on the variation law of the measured natural loss rate data to obtain the above calculation formula for Y. Porosity correction term. The value increases with the increase of the storage time (years) n, and the maximum value is infinitely close to 0.98, indicating that as the storage time increases infinitely, the volume porosity of the stone infinitely approaches 0.02.
[0065] The volume loss rate calculation formula proposed in this invention takes into account the dynamic changes in the void reduction rate, which helps to reduce the estimation error of volume loss of flood control boulders stored for a long time. Moreover, the calculation formula has been verified by actual data of flood control boulders piles with different storage years in multiple regions, and is more consistent with the actual effective volume.
[0066] Step 106: Uniformly sample the flood control boulders pile, conduct physical and mechanical property tests on the sampled boulders, and calculate the ratio of the number of substandard boulders in the boulders sample to the total number of boulders in the boulders sample as the boulders performance loss rate Z.
[0067] The physical and mechanical property deterioration of boulders refers to the fact that after years of storage, the properties of the boulders no longer meet the requirements for flood control boulders. In this embodiment, uniform sampling is carried out in the flood control boulder pile. At least two boulder samples with a length, width, and height of about 15cm and no broken pieces are selected from the surface, interior, and bottom of the boulder pile for physical and mechanical property testing. The physical and mechanical property testing includes dry density, softening coefficient, and natural compressive strength testing. If any one of the three performance tests of the boulder sample fails, the current boulder is deemed unqualified. Only when all three indicators are qualified is the physical and mechanical property of the boulder deemed qualified.
[0068] The performance loss rate Z is calculated as follows:
[0069]
[0070] in: This represents the number of stones among the tested stones that failed to meet the physical and mechanical performance standards. This represents the total number of stones inspected.
[0071] This invention proposes to consider the performance loss rate, fully taking into account the actual engineering of water conservancy and flood control, and to carry out refined management of flood control boulders with high requirements, which can reduce the safety hazards of flood control projects and improve the efficiency of flood control resource allocation.
[0072] Step 108: Estimate the overall loss rate of flood control boulders based on the size loss rate, volume loss rate, and performance loss rate.
[0073] Size loss rate, volume loss rate, and performance loss rate are used to quantitatively assess the loss of boulders from three dimensions: size, stock, and performance. Estimating the overall loss rate of flood control boulders based on the loss rates of these three dimensions can greatly improve the scientificity, accuracy, and effectiveness of the overall loss rate estimation results.
[0074] In the above-mentioned method for estimating the loss rate of flood control boulders, the dimensions of the boulders in the image are determined sequentially based on the overall image information of the boulders pile. If the size of a boulder is smaller than the preset minimum size, it is determined that the current boulder size is unqualified. The size loss rate of the boulders is obtained based on the number of unqualified boulders in the image and the total number of boulders. A three-dimensional model of the boulders is constructed based on the overall image information to obtain the measured volume of the flood control boulders pile. The volume loss rate of the boulders is obtained based on the measured volume and the storage quality of the pre-acquired boulders pile ledger records. The physical and mechanical properties of the flood control boulders are tested through sampling. The performance loss rate of the boulders is obtained based on the number of unqualified boulders in the sample and the total number of boulders in the sample. The comprehensive loss rate of the flood control boulders is estimated based on the size loss rate, volume loss rate, and performance loss rate. This invention uses image information to assess the size and volume loss of boulders, enabling the digitalization, automation, and standardization of size and volume assessments. It quantitatively assesses the loss of boulders from three dimensions: size, stock, and performance. Based on the loss rates of these three dimensions, it estimates the overall loss rate of flood control boulders, which can greatly improve the scientific rigor, accuracy, and effectiveness of the overall loss rate estimation results.
[0075] In one embodiment, the method further includes: determining the weights of the size loss rate, volume loss rate, and performance loss rate by means of expert scoring; and estimating the overall loss rate of the flood control boulders by weighted summation based on the size loss rate, volume loss rate, performance loss rate, and their corresponding weights.
[0076] Since the importance of the losses in the three dimensions is difficult to quantify, this embodiment uses expert scoring to determine the weights of the three dimensions when determining the overall loss rate using a weighted summation method. First, an expert group is established, inviting several engineering experts with many years of experience in the field of water conservancy and flood control to form a scoring team. Second, scoring requirements are clarified, such as using a 1-9 point scale to score the three dimensions of dimensional loss, volumetric loss, and performance loss. The scoring standards are standardized beforehand to avoid subjective arbitrariness. Finally, after collecting valid scores, to eliminate the influence of extreme values, the highest and lowest scores are removed, and the arithmetic mean or weighted average is taken to determine the score for each dimension, which is then normalized to determine the final weight coefficients. , , The overall loss rate is .
[0077] It should be understood that, although Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
[0078] In a specific implementation, such as Figure 2 As shown, a method for estimating the loss rate of flood control riprap is provided, including the following steps:
[0079] Step 202: Calculate the dimensional loss rate X.
[0080] A handheld 3D laser scanner was used to acquire overall point cloud data of a flood control boulders pile in a certain province. The boulders in this location are generally large; some boulders were painted with bright red paint as markers to aid in identification. Figure 3 Then, the edges of the stones are extracted sequentially using image processing techniques. Figure 4 The surface area of the stones was calculated. A total of 1065 stones were identified in the figure, and their surface areas are distributed as follows: Figure 5 As shown.
[0081] The minimum size S of the stone block at this location is calculated according to the aforementioned preset minimum size calculation formula. min In this implementation case, M is taken as 15 kg, h as 0.2 m, and ρ as 1700 kg / m. 3 S min Approximately 0.44m 2 Calculations show that there is one stone block smaller than S. min .
[0082] The dimensional loss rate is calculated using the aforementioned formula: X = (1 / 1065) × 100% = 0.094%.
[0083] Step 204: Calculate the volume loss rate Y.
[0084] Based on the collected point cloud data, a 3D model was created to obtain the 3D model of the stone block, as shown below. Figure 6 As shown, the volume of the stone was then calculated to be V = 1647.91 m³. 3 The inventory records for the boulders indicate a storage weight of 3,050 tons, an acceptance date of 2023, and a measurement date of December 2025.
[0085] The volume loss rate Y of the rubble was calculated according to the aforementioned formula: In this measurement, a was taken as 0.95, b as 0.03, m as 0.5, and ρ as 1700 kg / m³. 3 n takes the value 2. The calculated volume loss rate Y of the boulders is 10.68%.
[0086] Step 206: Calculate the performance loss rate Z.
[0087] Two stone samples, each approximately 15cm in length, width, and height, and flat without any broken pieces, were selected from the surface, interior, and bottom of the stone pile for physical and mechanical property testing. The physical and mechanical property testing included dry density, softening coefficient, and natural compressive strength.
[0088] After testing the dry density, softening coefficient, and natural compressive strength of the stone samples, the test results showed that the physical and mechanical properties of the stones met the requirements. Based on the aforementioned formula for calculating the stone performance loss rate, the stone performance loss rate Z=0 in this case was calculated.
[0089] Step 208: Estimate the overall loss rate L.
[0090] The overall loss rate L of flood control boulders was estimated based on the size loss rate X, volume loss rate Y, and performance loss rate Z. As shown in Table 1, the weights of the three dimensions were determined by expert scoring to be 0.3, 0.5, and 0.2, respectively. The overall loss rate was then calculated using the formula. =5.37%.
[0091] Table 1 Stone Loss Rate and Weight
[0092]
[0093] This invention can reasonably quantify the loss rate of flood control boulders with different storage years, thereby obtaining the analysis results of the loss rate changing over time.
[0094] In one embodiment, such as Figure 7 As shown, a device for estimating the loss rate of flood control boulders is provided, comprising: a dimensional loss rate determination module 1002, a volume loss rate determination module 1004, a performance loss rate determination module 1006, and a comprehensive loss rate estimation module 1008, wherein:
[0095] The size loss rate determination module 1002 is used to acquire the overall image information of the flood control boulders pile, and to determine the planar size of the flood control boulders in the image in turn according to the overall image information. If the planar size of the boulders is smaller than the preset minimum size, the current boulder size is determined to be unqualified. The ratio of the number of unqualified boulders in the image to the total number of boulders is calculated as the size loss rate of the boulders.
[0096] The volume loss rate determination module 1004 is used to construct a three-dimensional model of the boulders based on the overall image information, correct the measured volume based on the nonlinear relationship model between the number of years of storage and the amount of reduction in the internal voids of the boulders pile, and calculate the volume loss rate of the flood control boulders by combining the corrected measured volume of the boulders, the known acceptance density of the boulders, and the storage quality of the boulders pile ledger records.
[0097] The performance loss rate determination module 1006 is used to uniformly sample the flood control boulders, test the physical and mechanical properties of the sampled boulders, and calculate the ratio of the number of unqualified boulders in the boulders sample to the total number of boulders in the boulders sample as the performance loss rate of the boulders.
[0098] The comprehensive loss rate estimation module 1008 is used to estimate the comprehensive loss rate of flood control boulders based on the size loss rate, volume loss rate, and performance loss rate.
[0099] The size loss rate determination module 1002 is also used to acquire overall image information of the flood control boulders pile using a drone tilt camera or a handheld 3D laser scanner.
[0100] The size loss rate determination module 1002 is also used to identify and segment the flood control boulders in the image based on the overall image information to obtain images of multiple individual boulders; calculate the area of the images of individual boulders to obtain the single-sided surface area of the boulders to be evaluated; and determine the size of the flood control boulders in sequence based on the single-sided surface area.
[0101] The size loss rate determination module 1002 is also used to determine whether the current size of the stone block is unqualified if the size of the stone block is smaller than the preset minimum size; the preset minimum size is:
[0102]
[0103] in, This indicates the minimum size that is set. This indicates the average thickness of the flood control boulders. This indicates the density of the flood control boulders during acceptance (which can be obtained from the flood control boulders ledger records). This indicates the minimum weight value of qualified flood control boulders.
[0104] The volume loss rate determination module 1004 is also used to obtain the measured volume of the flood control rubble pile based on the overall three-dimensional model of the rubble; acquire the number of years of storage for the flood control rubble pile, the preset void reduction rate, the predicted density of the rubble at the time of acceptance, and the storage quality of the rubble ledger records; and calculate the volume loss rate of the rubble based on the measured volume, the number of years of storage, the preset void reduction rate, the predicted density of the rubble at the time of acceptance, and the storage quality of the rubble ledger records.
[0105]
[0106] in, This indicates the volume loss rate of the stone block. This indicates the measured volume. This represents the volume correction factor during the acceptance of the stone block stacks. This represents the gap reduction correction factor. This represents the preset gap reduction rate. This indicates the current number of years the flood control boulders are in reserve. =1,2,…,n, This indicates the predicted density of the flood control boulders during acceptance testing. This indicates the storage quality of the stone inventory records.
[0107] The performance loss rate determination module 1006 is also used to uniformly sample the flood control boulders and conduct physical and mechanical property tests on the sampled boulders; among which, the physical and mechanical property tests include dry density, softening coefficient, and natural compressive strength tests; if any of the three performance tests of the boulders fails, the current boulders are determined to be unqualified.
[0108] The comprehensive loss rate estimation module 1008 is also used to determine the weights of size loss rate, volume loss rate and performance loss rate through expert scoring; based on size loss rate, volume loss rate, performance loss rate and their corresponding weights, the comprehensive loss rate of flood control boulders is estimated by weighted summation.
[0109] Specific limitations regarding the flood control riprap loss rate estimation device can be found in the limitations of the flood control riprap loss rate estimation method described above, and will not be repeated here. Each module in the aforementioned flood control riprap loss rate estimation device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.
[0110] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 8As shown, the computer device includes a processor, memory, network interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used for communication with external terminals via a network connection. When executed by the processor, the computer program implements a method for estimating the loss rate of flood control boulders. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device casing, or an external keyboard, touchpad, or mouse.
[0111] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0112] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing computer programs / instructions, the processor executing the computer programs / instructions to implement the steps in the above method embodiments.
[0113] In one embodiment, a computer-readable storage medium is provided that stores a computer program / instructions thereon, which, when executed by a processor, implement the steps in the above method embodiment.
[0114] In one embodiment, a computer program / instruction is provided that, when executed by a processor, implements the steps in the method embodiments described above.
[0115] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
[0116] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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 this specification.
[0117] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A method for estimating the loss rate of flood control riprap, characterized in that, The method includes: Acquire the overall image information of the flood control boulders pile, and determine the planar size of the flood control boulders in the image in turn based on the overall image information. If the planar size of the boulders is smaller than the preset minimum size, the current boulder size is determined to be unqualified. Calculate the ratio of the number of unqualified boulders in the image to the total number of boulders as the boulder size loss rate. A three-dimensional model of the boulders is constructed based on the overall image information to obtain the measured volume of the flood control boulders. The measured volume is corrected based on a pre-established nonlinear relationship model between the number of years of storage and the reduction of voids inside the boulder pile. The volume loss rate of the flood control boulders is calculated by combining the corrected measured volume of the boulders, the known acceptance density of the boulders, and the storage quality of the boulder pile ledger records. Uniform sampling was conducted on the flood control rubble pile, and the physical and mechanical properties of the sampled rubble samples were tested. The ratio of the number of substandard rubble samples to the total number of rubble samples was calculated as the performance loss rate of the rubble. The overall loss rate of flood control boulders is estimated based on the size loss rate, volume loss rate, and performance loss rate.
2. The method according to claim 1, characterized in that, Obtain overall image information of the flood control riprap pile, including: Use drones with oblique cameras or handheld 3D laser scanners to obtain overall image information of the flood control boulders.
3. The method according to claim 2, characterized in that, Based on the overall image information, the dimensions of the flood control boulders in the image are determined sequentially, including: Based on the overall image information, the flood control boulders in the image are identified and the image is segmented to obtain multiple images of individual boulders. The images of individual boulders are counted to obtain the total number of boulders. The area of a single stone is calculated by examining the image of the individual stone; The size of the flood control stones is determined sequentially using the single-sided surface area as the size of a single stone.
4. The method according to claim 3, characterized in that, The preset minimum size is the preset minimum single-sided surface area of the flood control boulders, which is calculated based on the following formula: ; in, This indicates the minimum size that is set. This indicates the predicted average thickness of the flood control boulders. This indicates the predicted density of the flood control boulders during acceptance testing. This indicates the minimum weight value of qualified flood control boulders.
5. The method according to claim 1, characterized in that, The volume loss rate of the flood control boulders is calculated based on the following modified formula: ; in, This indicates the volume loss rate of the flood control riprap. Indicates the measured volume. This represents the volume correction factor during the acceptance of the stone block stacks. This represents the gap reduction correction factor. This indicates the preset gap reduction rate. This indicates the current number of years of flood control boulders in reserve. =1,2,…,n, This indicates the predicted density of the flood control boulders during acceptance testing. This indicates the storage quality of the stone inventory records.
6. The method according to claim 1, characterized in that, Uniform sampling was conducted on the flood control rubble pile, and the physical and mechanical properties of the sampled rubble samples were tested, including: Uniform sampling was conducted on the flood control rubble pile, and the physical and mechanical properties of the sampled rubble samples were tested. The physical and mechanical properties tests included dry density, softening coefficient, and natural compressive strength. If any one of the three performance tests on the stone sample fails, the stone is deemed unqualified.
7. The method according to any one of claims 1 to 6, characterized in that, The comprehensive loss rate of flood control boulders is estimated based on the dimensional loss rate, the volume loss rate, and the performance loss rate, including: The weights of the size loss rate, volume loss rate, and performance loss rate are determined by expert scoring. The overall loss rate of flood control boulders is estimated by weighted summation based on the size loss rate, volume loss rate, performance loss rate and their corresponding weights.
8. A computer device, comprising a memory, a processor, and computer programs / instructions stored in the memory, characterized in that, The processor executes the computer program / instructions to implement the steps of the method according to any one of claims 1 to 7.
9. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 7.
10. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 7.