Dredger yield metering method based on continuous change of soil density

Abstract

The invention relates to a dredger yield metering method based on continuous change of soil density, comprising the following steps: modeling based on field data to form a three-dimensional geologic model; performing a density test on the collected soil sample to obtain an actually measured density value, and realizing spatial continuous distribution simulation of geological density in combination with drilling density data; establishing a geological database, and listing different geological attributes and geological density information; correcting the concentration data according to the coordinate information of the cutter suction dredger and the corresponding geological density information; soft earth volume or hard earth volume calculation is conducted on various soil samples, coordinate information in the excavation process is combined with the geological database association, and dredger yield calculation statistics based on soil density continuous change is formed. According to the method, the precision and reliability of dredging engineering yield metering are remarkably improved, reliable data support is provided for construction progress control, engineering metering settlement and construction efficiency optimization, and the method has remarkable engineering application value and popularization significance.

Description

Technical Field

[0001] This invention relates to the field of geological modeling and engineering application technology, and in particular to a method for measuring the output of dredgers based on continuous changes in soil density. Background Technology

[0002] Dredgers play a crucial role in waterway dredging, port maintenance, and seabed excavation, undertaking the core tasks of silt removal and underwater topography modification. The efficiency and output of dredgers directly impact the progress, quality, cost control, and optimization of construction organization for dredging projects. Traditional dredger output assessments typically rely on slurry concentration meters combined with flow velocity data. This method measures the solid concentration and flow velocity parameters of the slurry mixture in the pumping pipeline to estimate the volume or mass of dredged material per unit time, thereby quantifying the output and guiding the construction process. However, this estimation method based on average density or fixed density has significant limitations in practical engineering applications, particularly in areas with complex and variable soil conditions, significantly impacting the accuracy of output measurement.

[0003] Traditional methods typically involve manually setting or averaging sediment distribution and density parameters based on geological survey data. These fixed parameters are then used as input for concentration meter data estimation. While this approach can achieve relatively reasonable estimation results in construction areas with homogeneous soil and minimal variation, in typical dredging projects, the spatial heterogeneity and continuous variation of sediment types, particle sizes, moisture content, particle composition, and density mean that average density-based estimation methods cannot effectively reflect the true density variations of the slurry. This often leads to significant systematic errors, causing production statistics to deviate from reality and failing to provide reliable data for engineering measurement, quality control, and construction organization management.

[0004] In summary, overcoming the technical bottlenecks of large estimation errors in dredging output and difficulty in reflecting soil quality changes caused by average density or fixed density methods, and proposing a dredging output measurement method based on continuous soil density changes, is a technical problem that urgently needs to be solved in the engineering field. This is not only of theoretical significance, but also helps to solve core challenges in actual dredging construction such as measurement and settlement, construction scheduling, automatic control and efficiency optimization, and has an important impact on improving the accuracy and efficiency of the overall waterway dredging project. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a dredging vessel output measurement method based on continuous change of soil density, so as to realize high-precision and real-time measurement of dredging vessel output during the dredging process.

[0006] This invention is achieved through the following technical solution: A method for measuring dredger output based on continuous variation of soil density includes the following steps: S1. Modeling is carried out based on field drilling data, and geophysical data is combined to integrate the model with the topography of the construction area to form a three-dimensional geological model; S2. Conduct density tests on various soil samples collected on site to obtain measured density values, and combine them with borehole density data to simulate the spatial continuous distribution of geological density in the three-dimensional geological model; S3. Establish a geological database and list information on different geological attributes and geological densities; S4. Based on the coordinate information of the cutter suction dredger, obtain the corresponding geological density information in the geological database, and correct the concentration data collected by the cutter suction dredger. S5. Calculate the volume of soft soil or hard soil for each type of soil sample, and combine the coordinate information during the excavation process with the geological database to form a dredging vessel output calculation and statistics based on the continuous change of soil density.

[0007] According to the above technical solution, preferably, in step S1, the drilling data includes borehole columnar section, standard penetration test, and geological profile, which are used to ensure that the spatial information of the model is consistent with the actual spatial location of the construction area.

[0008] According to the above technical solution, preferably, in step S1, the geophysical data includes pre-construction depth sounding data of single beam and multi beam, and the seabed topography is established by Delaunay triangulation method. Using coordinate correspondence information, the topography and geological model of the construction area are fused to form the three-dimensional geological model.

[0009] According to the above technical solution, preferably, step S2 includes: Density tests were conducted on various soil samples collected on site using the ring cutter method and sand cone method to obtain measured density values. The soil samples included silt, clay, silt, and moderately weathered rock. By combining borehole density data, the spatial interpolation algorithm Kriging interpolation is used to interpolate the density information near the borehole and between boreholes to form a continuous distribution of geological density in the entire three-dimensional region. The coordinate information corresponds to the established three-dimensional geological model.

[0010] According to the above technical solution, preferably, in step S3, a correspondence between coordinates, geological attributes, and geological parameters is formed in the geological database, wherein the geological parameters include soil density, water content, void ratio, and liquid limit.

[0011] According to the above technical solution, preferably, in step S4, the concentration data collected by the cutter suction dredger is corrected using the following formula: , in, For mud density, Let be the density of water, and take a value of 1. This corresponds to the geological density information.

[0012] According to the above technical solution, preferably, in step S5, the soft soil includes silt, clay, and sand, and the hard soil includes moderately weathered rock.

[0013] According to the above technical solution, preferably, in step S5, the formula for calculating the volume of soft soil is: M = Q × C, Where M is the volume of soft soil excavated, Q is the volumetric flow rate of the mud, and C is the concentration of the mud.

[0014] According to the above technical solution, preferably, in step S5, the empirical coefficient method or the model volume estimation method is used to calculate the volume of hard earthwork.

[0015] According to the above technical solution, preferably, in step S5, the formula for calculating the volume of hard earthwork is: V=K×S, Where V is the volume of hard soil excavated, K is an empirical coefficient, referring to the output per minute during the excavation of weathered rock, and S is time.

[0016] The beneficial effects of this invention are: This invention provides a unified representation of the spatial distribution, geological properties, and geological density of different soil layers within the construction area. It establishes a correspondence between coordinates, geological properties, and geological parameters in a geological database, and incorporates the continuous variation of geological density into the concentration calculation process. This avoids production estimation errors caused by unreasonable density values ​​in areas with drastic soil changes. By measuring parameters such as slurry density and flow velocity in real time, and combining this with a dynamic density model, the impact of soil density variations on quality and production is continuously corrected. This significantly improves the accuracy and reliability of dredging project production measurement, providing reliable data support for construction progress control, project measurement and settlement, and construction efficiency optimization. It has significant engineering application value and promotional significance. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the process steps of the dredging vessel output measurement method provided by the present invention. Detailed Implementation

[0018] To enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and preferred embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0019] As shown in the figure, the present invention includes the following steps: S1. Modeling is performed based on field drilling data, and geophysical data is combined to integrate the model with the topography of the construction area to form a three-dimensional geological model.

[0020] Using professional 3D geological modeling software (Civil 3D, Revit, etc.), the model's spatial information is first aligned with the actual spatial location of the construction area based on drilling data, such as borehole columnar sections, standard penetration tests, and geological profiles. Simultaneously, seafloor topography is established using Delaunay triangulation based on pre-construction bathymetry data from single-beam and multi-beam bathymetry. Then, coordinate correspondence information is used to fuse the topography and geological model, forming a 3D geological model.

[0021] S2. Conduct density tests on various soil samples collected on site to obtain measured density values, and combine them with borehole density data to simulate the spatial continuous distribution of geological density in the three-dimensional geological model.

[0022] After drilling was completed, density tests were conducted on various soil samples collected on-site in the laboratory. In this case, four types of geological conditions were collected from the selected area: silt, clay, silt, and moderately weathered rock. The ring cutter method and sand cone method were used to conduct density tests and obtain the measured density values ​​of each soil layer and soil sample in the borehole.

[0023] Based on known borehole density data, the spatial interpolation algorithm Kriging interpolation is used to interpolate the density information near and between boreholes, thereby forming a continuous distribution of geological density in the entire three-dimensional region. Furthermore, based on the coordinate information and the corresponding three-dimensional geological model established in the previous steps, the spatial continuous distribution of geological density is simulated in the three-dimensional model.

[0024] S3. Establish a geological database and list information on different geological attributes and geological densities.

[0025] Coordinate data (X, Y, Z), soil and rock properties (geological attributes), soil and rock density, water content, void ratio, liquid limit, and plastic limit are organized and classified according to different strata, lithology, and regional location to establish a structured geological database with serial numbers as the primary key. This establishes a one-to-one correspondence between coordinate data, soil and rock properties, soil and rock density, water content, void ratio, liquid limit, and plastic limit.

[0026] S4. Based on the coordinate information of the cutter suction dredger, obtain the corresponding geological density information from the geological database and correct the concentration data collected by the cutter suction dredger.

[0027] Data from the on-site concentration meter of the cutter suction dredger is collected by sensors. However, due to factors such as changes in mud properties and soil density, the final calculation results may contain some errors. Therefore, the concentration data needs to be corrected and verified. The calculation formula is as follows: , in, For mud density, Let be the density of water, and take a value of 1. This corresponds to the geological density information.

[0028] It is necessary to obtain the soil density at the location of the concentration meter at any time. This value is matched with the geological database using the coordinates (X, Y, Z) of the cutter head to obtain the soil and rock density during the cutter excavation process. The time difference between excavation and the delivery pipeline is t1, so when the concentration meter signal is received at t2, t2-t1=t, the soil density excavated by the cutter at time t is the most accurate value for the current concentration calculation. Geological density information, using this soil density We will then optimize the above modified formula.

[0029] S5. Calculate the volume of soft soil or hard soil for each type of soil sample, and combine the coordinate information during the excavation process with the geological database to form a dredging vessel output calculation and statistics based on the continuous change of soil density.

[0030] For soft soils such as silt, clay, and loose sand, which have high fluidity and a wide range of density variations, a dynamic calculation method of "concentration x flow rate" is used to calculate the volume of soft soil. In this example, soft soil includes silt, clay, and silt. The formula for calculating the volume of soft soil is: M = Q × C, Where M is the volume of soft soil excavated, Q is the volumetric flow rate of the mud, and C is the concentration of the mud.

[0031] Simultaneously, after matching the cutterhead position, the current soil type being excavated is determined to be moderately weathered rock. The system will automatically convert the soil type to a hard soil calculation formula. For moderately weathered rock, whose physical properties are relatively stable, the concentration meter readings after excavation often differ significantly from the actual results. For moderately weathered rock and hard rock, empirical coefficient methods or model volume estimation methods are used to calculate the volume. In this example, the empirical coefficient method is preferred, but not limited to, for calculating the volume of hard soil. V=K×S, Where V is the volume of hard soil excavated, K is an empirical coefficient, referring to the output per minute during the excavation of weathered rock, and S is the time (minutes).

[0032] Since the soil conditions at any time during the excavation process are known, each work segment can use the coordinate correspondence to calculate the volume and excavation time of each type of soil in real time, as shown in Table 1 below. At the same time, soft and hard soil can be classified and statistically analyzed to realize the dredging output calculation and statistics when the soil density changes continuously.

[0033] Table 1. Statistical Table for Calculating Dredger Output under Continuously Changing Soil Density ; In summary, this application provides a dredging vessel output measurement method based on continuous soil density variation. It unifies the spatial distribution, geological properties, and geological density of different soil layers within the construction area, establishes a correspondence between coordinates, geological properties, and geological parameters in a geological database, and incorporates the continuous variation of geological density into the concentration calculation process. This avoids output estimation errors caused by unreasonable density values ​​in areas with drastic soil changes. By measuring parameters such as slurry density and flow velocity in real time and combining them with a dynamic density model, this application continuously corrects the impact of soil density variations on quality and output, significantly improving the accuracy and reliability of dredging project output measurement. It provides reliable data support for construction progress control, project measurement and settlement, and construction efficiency optimization, and has significant engineering application value and promotional significance.

[0034] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for measuring dredging vessel output based on continuous variation in soil density, characterized in that, Includes the following steps: S1. Modeling is carried out based on field drilling data, and geophysical data is combined to integrate the model with the topography of the construction area to form a three-dimensional geological model; S2. Conduct density tests on various soil samples collected on site to obtain measured density values, and combine them with borehole density data to simulate the spatial continuous distribution of geological density in the three-dimensional geological model; S3. Establish a geological database and list information on different geological attributes and geological densities; S4. Based on the coordinate information of the cutter suction dredger, obtain the corresponding geological density information in the geological database, and correct the concentration data collected by the cutter suction dredger. S5. Calculate the volume of soft soil or hard soil for each type of soil sample, and combine the coordinate information during the excavation process with the geological database to form a dredging vessel output calculation and statistics based on the continuous change of soil density.

2. The dredging vessel output measurement method based on continuous variation of soil density according to claim 1, characterized in that, In step S1, the drilling data includes borehole columnar section, standard penetration test, and geological profile, which are used to ensure that the spatial information of the model is consistent with the actual spatial location of the construction area.

3. The dredging vessel output measurement method based on continuous soil density variation according to claim 2, characterized in that, In step S1, the geophysical data includes pre-construction depth sounding data of single beam and multi beam, and the seabed topography is established by Delaunay triangulation method. Using coordinate correspondence information, the topography and geological model of the construction area are fused to form the three-dimensional geological model.

4. The dredging vessel output measurement method based on continuous soil density variation according to claim 1, characterized in that, Step S2 includes: Density tests were conducted on various soil samples collected on site using the ring cutter method and sand cone method to obtain measured density values. The soil samples included silt, clay, silt, and moderately weathered rock. By combining borehole density data, the spatial interpolation algorithm Kriging interpolation is used to interpolate the density information near the borehole and between boreholes to form a continuous distribution of geological density in the entire three-dimensional region. The coordinate information corresponds to the established three-dimensional geological model.

5. The dredging vessel output measurement method based on continuous variation of soil density according to claim 4, characterized in that, In step S3, a correspondence between coordinates, geological attributes, and geological parameters is formed in the geological database. The geological parameters include soil density, water content, void ratio, and liquid limit.

6. The method for measuring dredging vessel output based on continuous variation of soil density according to claim 4 or 5, characterized in that, In step S4, the concentration data collected by the cutter suction dredger is corrected using the following formula: ， in, For mud density, Let be the density of water, and take a value of 1. This corresponds to the geological density information.

7. The dredging vessel output measurement method based on continuous soil density variation according to claim 6, characterized in that, In step S5, the soft soil includes silt, clay, and silt, and the hard soil includes moderately weathered rock.

8. The dredging vessel output measurement method based on continuous soil density variation according to claim 7, characterized in that, In step S5, the formula for calculating the volume of soft soil is: M = Q × C, Where M is the volume of soft soil excavated, Q is the volumetric flow rate of the mud, and C is the concentration of the mud.

9. The dredging vessel output measurement method based on continuous variation of soil density according to claim 8, characterized in that, In step S5, the volume of hard earthwork is calculated using either the empirical coefficient method or the model volume estimation method.

10. The dredging vessel output measurement method based on continuous soil density variation according to claim 9, characterized in that, In step S5, the formula for calculating the volume of hard earthwork is: V=K×S, Where V is the volume of hard soil excavated, K is an empirical coefficient, referring to the output per minute during the excavation of weathered rock, and S is time.

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