A method, system and medium for parameterized modeling of stockpile storage capacity and engineering quantity calculation

Abstract

The present invention discloses a method, system and medium for parametric modeling and engineering quantity calculation of a material pile storage capacity. The present invention includes establishing a cone parametric model of the material pile, establishing a parametric round-square-square model, aligning the parametric round-square-square model with the cone parametric model, and symmetrically copying multiple parametric round-square-square models to form a parametric round-square-square model array; performing a union process on the parametric round-square-square model array to obtain a union model, calculating a difference model between the cone parametric model and the union model to obtain a material pile dead storage capacity model, and subtracting the volume of the material pile dead storage capacity model from the volume of the original cone parametric model to obtain the active storage capacity of the material pile. The present invention can be used to achieve the function of parametrically quickly establishing a material pile and its storage capacity model, and complete site layout design; at the same time, the active and dead storage capacity engineering quantities can be calculated according to different design schemes, and then the design schemes can be compared to obtain the optimal material silo design result.

Description

Technical Field

[0001] The present invention relates to BIM design technology for silos / stockpiles, and in particular to a method, system and medium for parameterized modeling of stockpile capacity and engineering quantity calculation. Background Art

[0002] In industries involving silo / stockpile design, such as mining and grain storage, the design of silo capacity and stockpile volume, as well as the calculation of engineering quantities, are challenging. The shape of the active storage volume resembles an inverted conical funnel, often referred to as the "round sky and square earth." Calculating the overlap between the two volumes is extremely difficult. Currently, estimates are primarily based on formulas written in Excel, a method that is inefficient and subject to large errors. The size, number, and spacing of the discharge ports all affect both active and dead storage capacity. Designing the various discharge port parameters to maximize active storage capacity, and thus improve silo transportation efficiency, is a key focus of silo design. Summary of the Invention

[0003] The technical problem to be solved by the present invention is as follows: In response to the above-mentioned problems of the prior art, a method, system and medium for parametric modeling of material pile storage capacity and engineering quantity calculation are provided. The present invention can be used to achieve the function of parametrically quickly establishing a material pile and its storage capacity model to complete the site layout design; at the same time, the active and dead storage capacity engineering quantities can be calculated according to different design schemes, and then the design schemes can be compared to obtain the optimal silo design result.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0005] A method for parameterized modeling of stockpile storage capacity and engineering quantity calculation, comprising:

[0006] S1, establish a conical parametric model of the material pile controlled by two parameters: the silo height and the material stacking angle, and extract the volume of the original cone parametric model; establish a parametric round-square model controlled by one parameter: the discharge port size, where the height of the parametric round-square model is the silo height, one end is a square discharge port, the other end is a circle, and the angle between the generatrix is ​​the material stacking angle;

[0007] S2, aligning the blanking opening of the parameterized round-sky-square-square model with the conical parameterized model and the center of the bottom surface of the conical parameterized model, and replicating a set of parameterized round-sky-square-square models on both sides of the circle center along the diameter direction of the parameterized round-sky-square-square model based on the set spacing parameters to form a parameterized round-sky-square-square model array;

[0008] S3, performing a union process on the array of parameterized celestial and square models to obtain a union model, and calculating a difference model between the cone parameterized model and the union model to obtain a stockpile dead capacity model;

[0009] S4, extracting the volume of the dead storage capacity model of the stockpile, subtracting the volume of the dead storage capacity model of the stockpile from the volume of the original cone parameterized model to obtain the active storage capacity of the stockpile.

[0010] Optionally, the establishment of a cone parametric model of a material pile controlled by two parameters, silo height and material stacking angle, in step S1 is completed based on Dynamo software, and the steps include: using trigonometric functions to calculate the circular radius of the bottom surface of the cone parametric model using the two parameters, silo height and material stacking angle, and using Dynamo software to generate a cone node Cone.ByCoordinateSystemHeightRadius based on radius and height to generate a cone parametric model of a material pile controlled by two parameters, silo height and material stacking angle.

[0011] Optionally, the establishment of a parametric earth-square model controlled by a single parameter of the feed opening size in step S1 is completed based on dynamo software, and the steps include: establishing a square curve of the feed opening based on the parameters of the feed opening size, using trigonometric functions to calculate the circular radius of the bottom surface of the cone parametric model using the two parameters of the silo height and the material stacking angle, generating a circular curve coaxially arranged with the square curve, and the height between the square curve and the circular curve is the silo height; based on the solid lofting node Solid.ByLoft of dynamo software, the square curve and the circular curve are merged to obtain a parametric earth-square model controlled by a single parameter of the feed opening size.

[0012] Optionally, step S2 is completed based on Dynamo software, and the copying and generating of a set of parameterized round earth and square models on both sides of the center of the circle based on the set spacing parameters includes: taking the circular surface along the parameterized round earth and square model as the xoy axis plane and the center of the circle as the origin, creating two grid offset nodes Geometry.Translate in Dynamo software respectively, one of which is used to copy and generate a set of parameterized round earth and square models based on the set spacing parameters and quantity along the +x coordinate axis direction, and the other is used to copy and generate a set of parameterized round earth and square models based on the set spacing parameters and quantity along the -x coordinate axis direction, and the two copied sets of parameterized round earth and square models are symmetrically distributed about the origin.

[0013] Optionally, in step S3, the union processing of the parameterized celestial and square model arrays to obtain a union model is completed based on Dynamo software, and the union processing of the parameterized celestial and square model arrays to obtain a union model refers to the union processing of the parameterized celestial and square model arrays to obtain a union model based on the entity union node Solid.Union of Dynamo software.

[0014] Optionally, the calculation of the difference model between the cone parameterized model and the union model in step S3 is completed based on Dynamo software, and the calculation of the difference model between the cone parameterized model and the union model refers to the entity difference node Solid.DifferenceAll based on Dynamo software performing difference processing on the parameterized celestial and square model array to obtain the difference model.

[0015] Optionally, the volume extraction of the dead storage capacity model of the stockpile in step S4 is completed based on Dynamo software, and the volume extraction of the dead storage capacity model of the stockpile refers to the entity volume extraction node Solid.Volume based on Dynamo software to union the parameterized celestial and square model array to obtain a union model.

[0016] In addition, the present invention also provides a silo design method, comprising:

[0017] Step 1: Determine multiple silo design schemes. The parameters of each silo design scheme include silo height, material stacking angle, and discharge port size.

[0018] Step 2: For each silo design scheme, the active storage capacity of the silo is calculated using the aforementioned silo storage capacity parameter modeling and engineering quantity calculation method;

[0019] Step 3: Select the optimal silo design scheme based on the active storage capacity of the stockpile among all silo design schemes.

[0020] In addition, the present invention also provides a parametric modeling and engineering quantity calculation system for material pile storage capacity, including a microprocessor and a memory connected to each other, characterized in that the microprocessor is programmed or configured to execute the steps of the parametric modeling and engineering quantity calculation method for material pile storage capacity, or the steps of the silo design method.

[0021] In addition, the present invention also provides a computer-readable storage medium storing a computer program, characterized in that the computer program is used to be programmed or configured by a microprocessor to execute the steps of the material pile storage capacity parametric modeling and engineering quantity calculation method, or the steps of the silo design method.

[0022] Compared with the existing technology, the present invention mainly has the following advantages: the parametric modeling of the material pile storage capacity and the engineering quantity calculation method of the present invention can solve the technical problem of calculating the overlapping parts of the round sky and square earth; the calculation speed is fast, and each parameter combination is quickly calculated with high efficiency, and there is no need for repeated modeling, which is convenient for scheme comparison; the calculation results are highly accurate, which greatly reduces the error and makes the design basis more sufficient; through secondary development, users only need to input part of the parameters and do not need to master BIM or other similar software; the present invention can realize the visualization of the calculation results, which is dynamically updated with the calculation results and is more intuitive. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 Schematic diagram of the basic process of the method of the embodiment of the present invention.

[0024] Figure 2 This is an example of a cone parameterized model in an embodiment of the present invention.

[0025] Figure 3 This is an example of a parameterized round earth model in an embodiment of the present invention.

[0026] Figure 4 This is an example of a parameterized celestial body model array in an embodiment of the present invention.

[0027] Figure 5 This is an example of a stockpile dead capacity model in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The present invention will be further described in detail below by taking the Dynamo software application environment as an example.

[0029] like Figure 1 As shown, the method for parameterized modeling of stockpile storage capacity and engineering quantity calculation in this embodiment includes:

[0030] S1, establish a cone parametric model of the material pile controlled by two parameters: the silo height and the material stacking angle, and extract the volume of the original cone parametric model; establish a parametric sky-round-square-square model controlled by one parameter: the discharge port size, and the height of the parametric sky-round-square-square model is the silo height, one end is a square discharge port, the other end is a circle, and the main line angle is the material stacking angle; it should be noted that the "sky" and "earth" in the parametric sky-round-square-square model only represent the relative position relationship between the two ends of the silo, and do not represent an absolute down or up direction indication.

[0031] S2, aligning the blanking opening of the parameterized round-sky-square-square model with the conical parameterized model and the center of the bottom surface of the conical parameterized model, and replicating a set of parameterized round-sky-square-square models on both sides of the circle center along the diameter direction of the parameterized round-sky-square-square model based on the set spacing parameters to form a parameterized round-sky-square-square model array;

[0032] S3: Union the array of parameterized celestial and square models to obtain a union model, and calculate the difference model between the cone parameterized model and the union model to obtain the stockpile dead capacity model. By calculating the union and difference of multiple objects, the capacity of multiple stockpiles and multiple rows of material discharge ports can be calculated without repeatedly calculating redundant parts, ensuring accurate and reliable calculation of the stockpile live capacity.

[0033] S4, extracting the volume of the dead storage capacity model of the stockpile, subtracting the volume of the dead storage capacity model of the stockpile from the volume of the original cone parameterized model to obtain the active storage capacity of the stockpile.

[0034] In this embodiment, the establishment of the cone parameterized model of the material pile controlled by the two parameters of the silo height and the material stacking angle in step S1 is completed based on the Dynamo software, and the steps include: using the two parameters of the silo height and the material stacking angle to calculate the circular radius of the bottom surface of the cone parameterized model using trigonometric functions, and using the Dynamo software to generate the cone node Cone.ByCoordinateSystemHeightRadius based on the radius and height to generate the cone parameterized model of the material pile controlled by the two parameters of the silo height and the material stacking angle. The specific form example in this embodiment is as follows: Figure 2 In this embodiment, by establishing a conical parametric model of a material pile controlled by two parameters, namely, the silo height and the material stacking angle, the conical parametric model of the material pile controlled by the two parameters, namely, the silo height and the material stacking angle, can be quickly modified based on different design schemes or design requirements, thereby realizing automatic changes in the material pile and making it more convenient and flexible to use.

[0035] In this embodiment, the establishment of a parametric earth-square model controlled by a single parameter of the feed opening size in step S1 is completed based on dynamo software, and the steps include: establishing a square curve of the feed opening based on the parameter of the feed opening size, using trigonometric functions to calculate the circular radius of the bottom surface of the cone parametric model using the two parameters of the silo height and the material stacking angle, generating a circular curve coaxially arranged with the square curve, and the height between the square curve and the circular curve is the silo height; based on the entity lofting node Solid.ByLoft of dynamo software, the square curve and the circular curve are merged to obtain a parametric earth-square model controlled by a single parameter of the feed opening size. The specific form examples in this embodiment are as follows: Figure 3 In this embodiment, by establishing a parameterized round-the-sky-square-square model controlled by a single parameter of the material discharge port size, the parameterized round-the-sky-square-square model controlled by a single parameter of the material discharge port size can be quickly modified based on different design schemes or design requirements, thereby realizing automatic changes in the material pile and making it more convenient and flexible to use.

[0036] In this embodiment, step S2 is completed based on dynamo software, and the copying and generating of a set of parameterized round earth and square models on both sides of the center of the circle based on the set spacing parameters includes: taking the circular surface along the parameterized round earth and square model as the xoy axis plane and the center of the circle as the origin, two grid offset nodes Geometry.Translate are created in dynamo software respectively, one of which is used to copy and generate a set of parameterized round earth and square models based on the set spacing parameters and quantity along the +x coordinate axis direction, and the other is used to copy and generate a set of parameterized round earth and square models based on the set spacing parameters and quantity along the -x coordinate axis direction, and the two copied sets of parameterized round earth and square models are symmetrically distributed about the origin. The specific form of the parameterized round earth and square model array finally obtained in this embodiment is shown as an example. Figure 4 It should be noted that the spacing parameters and quantity are all parametric designs. Therefore, the number and position of the models can be flexibly controlled by inputting the parameters. This makes it easier to design the number and spacing of the material discharge ports, realize automatic changes in the material pile, and make it more convenient and flexible to use.

[0037] In this embodiment, the union processing of the parameterized celestial and square model arrays to obtain a union model in step S3 is completed based on Dynamo software, and the union processing of the parameterized celestial and square model arrays to obtain a union model refers to the union processing of the parameterized celestial and square model arrays to obtain a union model based on the entity union node Solid.Union of Dynamo software.

[0038] In this embodiment, the difference model between the cone parameterized model and the union model in step S3 is calculated based on Dynamo software, and the difference model between the cone parameterized model and the union model refers to the difference model obtained by performing difference processing on the parameterized celestial and square model array based on the entity difference node Solid.DifferenceAll of Dynamo software. The specific form of the difference model finally obtained in this embodiment is as follows: Figure 4 shown.

[0039] In this embodiment, the volume of the dead storage capacity model of the stockpile is extracted in step S4 based on the Dynamo software, and the volume of the dead storage capacity model of the stockpile is extracted by using the entity volume extraction node Solid.Volume of the Dynamo software to perform a union process on the parameterized celestial sphere model array to obtain a union model. The dead storage capacity model of the stockpile is finally obtained as shown in FIG. Figure 5 shown.

[0040] It should be noted that, inspired by the functions of the aforementioned model operations and the examples of functional nodes that can be used with the Dynamo software, those skilled in the art can implement the same functions by performing similar functional operations based on other nodes of the Dynamo software, or can use other BIM design software or three-dimensional design software as needed to implement the same functions through similar functional operations. That is, the aforementioned functional node examples in this embodiment are merely examples of the preferred Dynamo software application environment for the parametric modeling of the material pile storage capacity and the engineering quantity calculation method of the present invention, and should not be understood as requiring the Dynamo software application environment or the aforementioned functional nodes in order to implement the parametric modeling of the material pile storage capacity and the engineering quantity calculation method of the present invention.

[0041] In summary, the parametric modeling and engineering quantity calculation method of the material pile storage capacity of this embodiment includes establishing a cone parametric model of the material pile, establishing a parametric round-square-square model, aligning the parametric round-square-square model with the cone parametric model, and symmetrically copying multiple parametric round-square-square models to form a parametric round-square-square model array; performing a union process on the parametric round-square-square model array to obtain a union model, calculating the difference model between the cone parametric model and the union model to obtain a material pile dead storage capacity model, and subtracting the volume of the material pile dead storage capacity model from the volume of the original cone parametric model to obtain the active storage capacity of the material pile. The parametric modeling and engineering quantity calculation method of the material pile storage capacity of this embodiment can be used to achieve the function of parametrically quickly establishing the material pile and its storage capacity model, and complete the site layout design; at the same time, the active and dead storage capacity engineering quantities can be calculated according to different design schemes, and then the design schemes can be compared to obtain the optimal silo design result.

[0042] In addition, as a further application of the stockpile storage capacity parameterized modeling and engineering quantity calculation method of this embodiment, this embodiment also provides a silo design method, including:

[0043] Step 1: Determine multiple silo design schemes. The parameters of each silo design scheme include silo height, material stacking angle, and discharge port size.

[0044] Step 2: For each silo design solution, calculate the active storage capacity of the silo using the aforementioned silo storage capacity parameterized modeling and engineering quantity calculation method of this embodiment;

[0045] Step 3: Select the optimal silo design scheme based on the active storage capacity of the stockpile among all silo design schemes.

[0046] In addition, this embodiment also provides a system for parametric modeling of stockpile capacity and engineering quantity calculation, comprising an interconnected microprocessor and memory. The microprocessor is programmed or configured to execute the steps of the aforementioned parametric modeling of stockpile capacity and engineering quantity calculation method, or the steps of the aforementioned silo design method. It should be noted that the steps of each of the aforementioned methods can be automatically implemented through a computer program or manually implemented through human operation.

[0047] In addition, this embodiment further provides a computer-readable storage medium storing a computer program, wherein the computer program is configured to be programmed or configured by a microprocessor to execute the steps of the aforementioned method for parametric modeling of stockpile capacity and engineering quantity calculation, or the steps of the aforementioned silo design method. Similarly, it should be noted that the steps of executing each of the aforementioned methods can be automatically implemented by a computer program or manually implemented based on human operations.

[0048] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, may be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including the instruction device, which implements the function specified in the process. Figure 1 a process or multiple processes and / or boxes Figure 1These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0049] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for parameterized modeling of stockpile storage capacity and calculation of engineering quantities, characterized in that: include: S1, establish a conical parametric model of the material pile controlled by two parameters: the silo height and the material stacking angle, and extract the volume of the original cone parametric model; establish a parametric round-square model controlled by one parameter: the discharge port size, where the height of the parametric round-square model is the silo height, one end is a square discharge port, the other end is a circle, and the angle between the generatrix is ​​the material stacking angle; S2, aligning the blanking opening of the parameterized round-sky-square-square model with the conical parameterized model and the center of the bottom surface of the conical parameterized model, and replicating a set of parameterized round-sky-square-square models on both sides of the circle center along the diameter direction of the parameterized round-sky-square-square model based on the set spacing parameters to form a parameterized round-sky-square-square model array; S3, performing a union process on the array of parameterized celestial and square models to obtain a union model, and calculating a difference model between the cone parameterized model and the union model to obtain a stockpile dead capacity model; S4, extracting the volume of the dead storage capacity model of the pile, subtracting the volume of the dead storage capacity model of the pile from the volume of the original cone parameterized model to obtain the active storage capacity of the pile; The establishment of a parametric earth-square model controlled by a single parameter of the feed opening size in step S1 is completed based on Dynamo software, and the steps include: establishing a square curve of the feed opening based on the parameters of the feed opening size, using trigonometric functions to calculate the circular radius of the bottom surface of the cone parametric model using the two parameters of the silo height and the material stacking angle, generating a circular curve coaxially arranged with the square curve, and the height between the square curve and the circular curve is the silo height; based on the solid layout node Solid.ByLoft of Dynamo software, the square curve and the circular curve are merged to obtain a parametric earth-square model controlled by a single parameter of the feed opening size.

2. The method for parameterized modeling of stockpile storage capacity and engineering quantity calculation according to claim 1 is characterized in that: In step S1, the cone parametric model of the material pile controlled by the two parameters of the silo height and the material stacking angle is established based on the Dynamo software, and the steps include: using the trigonometric function to calculate the circular radius of the bottom surface of the cone parametric model of the two parameters of the silo height and the material stacking angle, and using the Dynamo software to generate the cone node Cone.ByCoordinateSystemHeightRadius based on the radius and height to generate the cone parametric model of the material pile controlled by the two parameters of the silo height and the material stacking angle.

3. The method for parameterized modeling of stockpile storage capacity and engineering quantity calculation according to claim 1 is characterized in that: Step S2 is completed based on Dynamo software, and the copying and generating of a set of parameterized round-the-sky and square-square models on both sides of the center of the circle based on the set spacing parameters includes: taking the circular surface along the parameterized round-the-sky and square-square model as the xoy axis plane and the center of the circle as the origin, creating two grid offset nodes Geometry.Translate in Dynamo software respectively, one of which is used to copy and generate a set of parameterized round-the-sky and square-square models based on the set spacing parameters and quantity along the +x coordinate axis direction, and the other is used to copy and generate a set of parameterized round-the-sky and square-square models based on the set spacing parameters and quantity along the -x coordinate axis direction, and the two copied sets of parameterized round-the-sky and square-square models are symmetrically distributed about the origin.

4. The method for parameterized modeling of stockpile storage capacity and engineering quantity calculation according to claim 1 is characterized in that: In step S3, the parameterized celestial and square model arrays are unioned to obtain a union model based on the Dynamo software, and the said unioning of the parameterized celestial and square model arrays to obtain a union model refers to the entity union node Solid.Union of the Dynamo software being used to union the parameterized celestial and square model arrays to obtain a union model.

5. The method for parameterized modeling of stockpile storage capacity and calculation of engineering quantities according to claim 1, characterized in that: The calculation of the difference model between the cone parameterized model and the union model in step S3 is completed based on Dynamo software, and the calculation of the difference model between the cone parameterized model and the union model refers to the entity difference node Solid.DifferenceAll based on Dynamo software performing difference processing on the parameterized celestial and square model array to obtain the difference model.

6. The method for parameterized modeling of stockpile storage capacity and engineering quantity calculation according to claim 1, characterized in that: The volume extraction of the dead storage capacity model of the stockpile in step S4 is completed based on the Dynamo software, and the volume extraction of the dead storage capacity model of the stockpile refers to the entity volume extraction node Solid.Volume based on the Dynamo software to perform union processing on the parameterized celestial sphere model array to obtain a union model.

7. A silo design method, characterized in that: include: Step 1: Determine multiple silo design schemes. The parameters of each silo design scheme include silo height, material stacking angle, and discharge port size. Step 2: For each silo design scheme, the active storage capacity of the silo is calculated using the silo storage capacity parameterization modeling and engineering quantity calculation method described in any one of claims 1 to 6; Step 3: Select the optimal silo design scheme based on the active storage capacity of the stockpile among all silo design schemes.

8. A system for parameterized modeling of stockpile storage capacity and engineering quantity calculation, comprising a microprocessor and a memory connected to each other, characterized in that: The microprocessor is programmed or configured to execute the steps of the stockpile storage capacity parameter modeling and engineering quantity calculation method described in any one of claims 1 to 6, or the steps of the silo design method described in claim 7.

9. A computer-readable storage medium storing a computer program, characterized in that: The computer program is used to be programmed or configured by a microprocessor to execute the steps of the stockpile storage capacity parameter modeling and engineering quantity calculation method described in any one of claims 1 to 6, or the steps of the silo design method described in claim 7.

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