CLASSIFYING AND CALCULATING SURFACE AREAS OF TEMPORARY STRUCTURES BASED ON 3D MODEL GEOMETRY

Abstract

The present disclosure provides a system for classifying and calculating surface areas of temporary structures based on 3D model geometry, specifically a terrain material estimation system (100). The system includes a terrain mapping module (102) that generates a three-dimensional model of a construction site (104). A surface classification unit (106), arranged within the terrain mapping module, classifies the 3D model into planar surfaces (108) and curved surfaces (110). A material calculation processor (112) communicates with the surface classification unit to calculate material requirements for both planar and curved surfaces based on the geometry of the construction site

Specification

Description:Field of the Invention


The present disclosure relates to construction planning systems. Particularly, the present disclosure relates to systems for classifying and calculating surface areas of temporary structures based on 3D model geometry to estimate material requirements.
Background
The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
Various systems have been developed for estimating terrain materials at construction sites. A common method involves the manual calculation of material requirements based on two-dimensional drawings or models of the construction site. This conventional approach requires significant time and effort from engineers and often results in inaccuracies due to human error. Manual processes further depend heavily on the skill and expertise of personnel, leading to inconsistent outcomes. Moreover, changes in site conditions, such as alterations in the geometry or scale of the construction project, make it difficult to re-estimate material requirements accurately without starting the process anew.
Further, automated terrain mapping techniques have been utilized to address the inefficiencies of manual calculations. Such techniques commonly employ two-dimensional scanning technologies to create surface maps of construction sites. However, such methods are limited in their ability to account for the full complexity of three-dimensional structures present at the site, particularly with respect to irregular surfaces. The lack of comprehensive three-dimensional data results in an incomplete model, preventing accurate classification of surface types. As a result, material estimation based on such incomplete data is often inaccurate, leading to underestimation or overestimation of required materials. Furthermore, these methods generally fail to differentiate between planar surfaces and curved surfaces, both of which require different calculations and material considerations.
Moreover, some systems rely on satellite-based imaging or aerial photography to generate construction site models. While such methods provide a broader overview of the site, the resolution of the images is often insufficient for detailed material estimation. Surface features such as inclinations, edges, and curves are either poorly defined or completely overlooked. Consequently, material requirements for specific surface types, including curved and irregular surfaces, cannot be accurately calculated based on such images. Additionally, image processing techniques employed in these systems often struggle with the classification of terrain, further reducing the reliability of material estimates derived from such methods.
In addition, existing surface classification techniques generally apply pre-determined geometrical models to classify terrain into broad categories. Such models typically rely on fixed parameters, which may not account for variations in surface features, particularly in the context of complex construction sites. As a result, surfaces that do not conform to these pre-determined models are often misclassified, further complicating material estimation efforts. The lack of adaptability in such systems presents a significant challenge when calculating material requirements for varied construction sites, especially in cases where surfaces include both planar and curved elements.
Furthermore, current methods for calculating material requirements often assume uniformity in the surfaces of construction sites, thereby failing to account for specific geometrical variations. For example, planar surfaces and curved surfaces necessitate different approaches in material calculation due to the differences in their geometry. Systems that do not differentiate between such surfaces often lead to inaccurate calculations, which can either inflate project costs by overestimating material requirements or cause delays due to insufficient materials being allocated for the construction.
In light of the above discussion, there exists an urgent need for solutions that overcome the problems associated with conventional systems and/or techniques for estimating terrain materials at construction sites.
All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary
Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
The present disclosure relates to construction planning systems. Particularly, the present disclosure relates to systems for classifying and calculating surface areas of temporary structures based on 3D model geometry to estimate material requirements.
An objective of the present disclosure is to provide a terrain material estimation system that enables efficient estimation of material requirements for construction sites based on surface classifications. The system of the present disclosure aims to facilitate accurate material calculation by utilizing a three-dimensional model of the terrain.
In an aspect, the present disclosure provides a terrain material estimation system comprising a terrain mapping module to generate a three-dimensional model of a construction site. The terrain material estimation system further comprises a surface classification unit disposed within said terrain mapping module. Said surface classification unit classifies the three-dimensional model into planar surfaces and curved surfaces. A material calculation processor disposed in communication with said surface classification unit calculates material requirements for said planar and curved surfaces based on the geometry of said construction site.
Furthermore, said terrain mapping module generates the three-dimensional model using laser scanning technology. Additionally, said surface classification unit divides planar surfaces into horizontal and sloped surfaces for separate material calculations, which enables more accurate material estimation. Said surface classification unit classifies horizontal surfaces based on the degree of slope, providing enhanced accuracy in material estimation. Moreover, curved surfaces are classified based on curvature radius, accounting for varying material requirements.
Additionally, said material calculation processor calculates the material compaction factor based on the classified surfaces. Said material calculation processor accounts for terrain elevation changes within the construction site when determining material requirements. Furthermore, said surface classification unit comprises a vector analysis tool to identify the vector direction of each planar surface for slope grading purposes. Said terrain mapping module updates the three-dimensional model in real-time, reflecting changes occurring in the construction site. Lastly, said material calculation processor recommends material types based on soil composition at the construction site.

Brief Description of the Drawings


The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
FIG. 1 illustrates a terrain material estimation system (100) , in accordance with the embodiments of the present disclosure.
FIG. 2 illustrates sequential diagram of a terrain material estimation system (100), in accordance with the embodiments of the present disclosure.
Detailed Description
The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
The present disclosure relates to construction planning systems. Particularly, the present disclosure relates to systems for classifying and calculating surface areas of temporary structures based on 3D model geometry to estimate material requirements.
Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
As used herein, the term "terrain material estimation system" refers to a system that is used for calculating the amount of materials required for a construction site. Said system utilises a set of components to process a three-dimensional model of a site, allowing for surface classification and material requirement estimation. Such a system is primarily employed in civil engineering and construction projects to assist in material planning and resource allocation. It includes several subsystems that interact to provide a comprehensive analysis of the site's geometry and surface properties. The terrain material estimation system is integral for determining quantities of materials such as soil, concrete, and other construction materials required for both planar and curved surfaces on a given site. Furthermore, the system aids in handling variations in the surface type and site geometry to ensure accurate material planning. Said system can be used for various construction projects, including residential, commercial, and infrastructure development, and helps streamline the construction planning process.
As used herein, the term "terrain mapping module" refers to a system component used to generate a three-dimensional model of a construction site. Said terrain mapping module typically utilises various forms of scanning technology, such as laser scanning, to capture detailed topographical information of a site. By processing such data, the terrain mapping module constructs an accurate model representing the surface and features of the construction site. Such a component is used to ensure that the subsequent processes of surface classification and material estimation are based on a reliable model. The terrain mapping module enables the system to identify key aspects of the construction site's geometry, including elevation, slopes, and curvature. The generated model serves as the foundation upon which other components in the system operate. Furthermore, such a module may be updated in real-time based on changes to the construction site, ensuring that material estimates remain relevant to current site conditions.
As used herein, the term "surface classification unit" refers to a system component responsible for analysing the three-dimensional model generated by the terrain mapping module. Said surface classification unit classifies the site's surfaces into distinct categories such as planar surfaces and curved surfaces. Said unit processes the geometric data to distinguish between different types of terrain, allowing for more specific material estimation. For instance, planar surfaces may include horizontal and sloped surfaces, each requiring a separate material calculation method, while curved surfaces are classified based on their radius of curvature. The surface classification unit works in conjunction with the material calculation processor to enable accurate computation of material requirements. Additionally, said unit includes tools to analyse vector directions for slope grading, further refining the material estimation process. By performing such classification, the surface classification unit allows the system to differentiate between various surface types, contributing to the overall accuracy of material calculations.
As used herein, the term "material calculation processor" refers to a system component that computes material requirements based on the classifications provided by the surface classification unit. Said material calculation processor communicates with the surface classification unit to access geometric data related to both planar and curved surfaces. Using such data, the material calculation processor determines the necessary quantity of materials required for each surface type on the construction site. The material calculation processor takes into account factors such as surface geometry, slope degree, curvature, and site elevation changes when performing the calculations. Said processor may also calculate material compaction factors and recommend specific types of materials based on soil composition. By incorporating such factors into the material estimation process, the material calculation processor ensures that the system provides accurate and comprehensive estimates for material requirements across the entire construction site.
FIG. 1 illustrates a terrain material estimation system (100) , in accordance with the embodiments of the present disclosure. In an embodiment, a terrain mapping module 102 is provided, which is configured to generate a three-dimensional model of a construction site 104. The terrain mapping module 102 utilises data from scanning technologies such as laser scanning or photogrammetry to capture the topographical features of a construction site 104. Said terrain mapping module 102 collects data points representing the surface of the construction site 104 and constructs a three-dimensional digital representation based on such data points. The terrain mapping module 102 may capture various surface details, including elevations, slopes, contours, and other relevant site characteristics. The generated three-dimensional model can be used to understand the physical layout of the construction site 104 and helps in accurately reflecting the terrain features required for further analysis and material estimation. Said terrain mapping module 102 is capable of updating the three-dimensional model in real-time as changes occur on the construction site 104. The updated model allows for continuous tracking of the site conditions, which may be necessary during ongoing construction activities.
In an embodiment, a surface classification unit 106 is arranged within the terrain mapping module 102, and such surface classification unit 106 classifies the three-dimensional model into planar surfaces 108 and curved surfaces 110. Said surface classification unit 106 processes the geometric data from the terrain mapping module 102 and differentiates between flat, horizontal, and sloped surfaces, which are identified as planar surfaces 108, and non-linear surfaces, which are identified as curved surfaces 110. The surface classification unit 106 may further subdivide planar surfaces 108 into different categories, such as horizontal surfaces and sloped surfaces, based on their inclination or orientation. Similarly, curved surfaces 110 may be classified according to their radius of curvature or other geometric characteristics. Such classification enables more accurate material estimation by distinguishing between the different surface types, each requiring specific construction materials and techniques.
In an embodiment, a material calculation processor 112 is disposed in communication with the surface classification unit 106. Said material calculation processor 112 calculates material requirements for both planar surfaces 108 and curved surfaces 110 based on the geometry of the construction site 104. The material calculation processor 112 takes into account factors such as the dimensions of the surfaces, the degree of slope for planar surfaces 108, and the curvature radius for curved surfaces 110. Additionally, the material calculation processor 112 may consider the overall site geometry, including variations in terrain elevation and other topographical features, to determine the accurate amount of construction materials needed for the project. Said material calculation processor 112 may also compute the compaction factor for materials based on the type of surface being calculated, ensuring that material estimates account for any necessary adjustments during construction.
In an embodiment, the terrain mapping module 102 is configured to generate the three-dimensional model 104 of a construction site 104 using laser scanning technology. Laser scanning technology operates by emitting laser beams towards the surface of the construction site and measuring the time taken for the reflected light to return to the scanner. The terrain mapping module 102 uses the data collected from the laser reflections to generate a highly accurate and detailed three-dimensional model 104 of the construction site 104. Said laser scanning technology captures various topographical features of the construction site, including elevation, contours, slopes, and other surface characteristics, allowing for a comprehensive representation of the terrain. The laser scanning technology provides rapid and accurate measurements, making it particularly suited for large-scale or complex construction sites where manual surveying would be impractical. The resulting three-dimensional model 104 can be used for material estimation, planning, and other construction-related tasks, offering real-time insight into the geometry of the construction site 104.
In an embodiment, the surface classification unit 106 is further configured to divide the planar surfaces 108 generated by the terrain mapping module 102 into horizontal surfaces and sloped surfaces for separate material calculations. The surface classification unit 106 processes the geometric data of the three-dimensional model 104 to distinguish between surfaces that are level, identified as horizontal surfaces, and surfaces that are inclined, identified as sloped surfaces. The division between horizontal and sloped surfaces is crucial for accurate material estimation, as different types of construction materials and techniques are often required for each surface type. For instance, sloped surfaces may require additional material to account for the angle of the slope, while horizontal surfaces may require a different calculation method. By classifying the planar surfaces 108 into horizontal and sloped surfaces, the surface classification unit 106 provides more accurate and tailored material calculations for each type of surface, improving the overall planning and execution of construction projects.
In an embodiment, the surface classification unit 106 is further configured to classify the horizontal surfaces identified in the three-dimensional model 104 based on the degree of slope for more accurate material estimation. The surface classification unit 106 processes the geometric data of the horizontal surfaces and categorises them according to their slope inclination. Different degrees of slope can significantly impact material requirements, as steeper slopes may require additional materials to ensure stability and structural integrity. The classification of horizontal surfaces by slope degree allows the terrain material estimation system 100 to adjust material calculations accordingly, ensuring that the correct quantity and type of materials are estimated for each surface. By incorporating slope data into the material estimation process, the surface classification unit 106 enables more detailed and precise material planning, which is essential for projects that involve varying terrain elevations and inclinations. This classification enhances the accuracy of material requirements, particularly for construction projects located on uneven or sloped terrain.
In an embodiment, the surface classification unit 106 is configured to classify the curved surfaces 110 of the three-dimensional model 104 based on curvature radius, enabling the terrain material estimation system 100 to account for varying material requirements. Curved surfaces 110, unlike planar surfaces 108, require specific material considerations due to their non-linear geometry. The surface classification unit 106 processes the data from the terrain mapping module 102 to identify and classify the curved surfaces based on their curvature radius, distinguishing between tight curves and broader, more gradual curves. Different curvature radii may demand different quantities and types of materials, as tighter curves often require more material to accommodate the curvature, while broader curves may require less material. By classifying curved surfaces 110 according to curvature radius, the surface classification unit 106 allows the material calculation processor 112 to provide a more accurate estimate of the materials required for curved surfaces. This classification is particularly useful for projects involving roads, pathways, or any construction that involves non-linear structures.
In an embodiment, the material calculation processor 112 is further configured to calculate the material compaction factor based on the classification of planar surfaces 108 and curved surfaces 110. The material compaction factor refers to the adjustment made to account for the compaction of materials during construction, which typically reduces the overall volume of materials required after compaction. The material calculation processor 112 calculates the compaction factor by considering the type of surface, whether planar or curved, and adjusting the material estimate accordingly. Different surface types may require different compaction factors based on the material properties and the construction techniques employed. For instance, sloped surfaces may have a higher compaction factor compared to flat surfaces due to the nature of the construction. Similarly, curved surfaces 110 may require specific adjustments to account for the material's behaviour when applied to non-linear surfaces. By calculating the material compaction factor, the material calculation processor 112 provides a more accurate estimate of the actual material requirements for the construction site 104.
In an embodiment, the material calculation processor 112 is configured to account for terrain elevation changes in the construction site 104 when calculating material requirements. Elevation changes within the construction site 104 can significantly affect material estimates, as different elevations may require varying amounts of material to level or grade the site. The material calculation processor 112 processes the elevation data from the terrain mapping module 102 and adjusts the material estimates accordingly. For example, areas of the construction site 104 with higher elevations may require additional material to fill or level the terrain, while lower elevations may require excavation or removal of material. The material calculation processor 112 takes into consideration the overall topography of the construction site 104, ensuring that the material estimates reflect the true requirements based on the elevation differences. This adjustment is critical for construction projects that involve complex terrain or significant elevation changes, as it ensures that sufficient materials are allocated for site preparation and construction.
In an embodiment, the surface classification unit 106 comprises a vector analysis tool to identify the vector direction of each planar surface 108 for slope grading purposes. The vector analysis tool processes the geometric data of the three-dimensional model 104 to determine the directional vectors of the planar surfaces 108, particularly those identified as sloped surfaces. The vector direction provides important information about the orientation of the surface, including the slope's gradient and direction. By identifying the vector direction, the terrain material estimation system 100 can provide more accurate slope grading information, which is essential for projects that involve inclined surfaces. The vector analysis tool helps to refine material calculations by taking into account the slope's orientation and adjusting the material estimates accordingly. This tool is particularly useful for construction projects that require precise grading, such as road construction, landscaping, and other earthmoving activities where slope orientation affects the project's execution.
In an embodiment, the terrain mapping module 102 is configured to update the three-dimensional model 104 in real-time based on changes in the construction site 104. As construction progresses, the terrain of the site may change due to excavation, grading, or other construction activities. The terrain mapping module 102 continuously monitors the construction site 104 and updates the three-dimensional model 104 to reflect any changes in the site's topography. Real-time updates allow the terrain material estimation system 100 to provide accurate and up-to-date material estimates, even as the conditions of the construction site 104 evolve. The real-time capability is particularly valuable for dynamic construction environments where terrain changes frequently. The updated three-dimensional model 104 enables the surface classification unit 106 and the material calculation processor 112 to adjust their operations based on the most current site conditions, ensuring that material estimates remain relevant and accurate throughout the construction process.
In an embodiment, the material calculation processor 112 is further configured to recommend material types based on the soil composition of the construction site 104. Soil composition plays a significant role in determining the type and quantity of materials required for construction projects. The material calculation processor 112 processes data related to the soil composition, such as moisture content, density, and stability, and uses this information to recommend appropriate construction materials. For instance, certain soil types may require more robust materials to ensure structural integrity, while others may require materials that are more resistant to erosion or compaction. By considering the soil composition, the material calculation processor 112 enhances the accuracy of material estimates and ensures that the recommended materials are suited for the specific conditions of the construction site 104. This capability is particularly important for projects involving foundations, roadbeds, or other earthwork where soil characteristics influence material selection.
The disclosed system for classifying and calculating surface areas of temporary structures based on 3D model geometry offers a precise method for estimating material requirements in construction planning. The terrain material estimation system (100) includes a terrain mapping module (102) designed to generate a three-dimensional model of a construction site (104). This 3D model provides a detailed representation of the topography and structural elements of the site. The surface classification unit (106), integrated within the terrain mapping module, classifies the various regions of the 3D model into planar surfaces (108) and curved surfaces (110). Planar surfaces represent flat areas such as walls or floors, while curved surfaces include more complex geometries like arches or slopes. By distinguishing between these surface types, the system ensures that material calculations are specific to the structural geometry, allowing for precise estimates of materials such as concrete, steel, or temporary scaffolding. The material calculation processor (112) then processes the classified data, determining the exact quantities of materials required for both planar and curved surfaces based on the site's geometry. The processor takes into account the dimensions and surface area of each classification to calculate the necessary material quantities, ensuring that both standard and custom structures are accounted for. This system is particularly useful in construction projects where temporary structures, such as scaffolding or protective barriers, need to be accurately planned and costed. By automating the surface classification and material estimation process, the system provides efficient, real-time calculations, reducing planning errors and ensuring that material resources are optimized for the specific construction site.
FIG. 2 illustrates sequential diagram of a terrain material estimation system (100), in accordance with the embodiments of the present disclosure. The diagram illustrates the sequential interactions between various components of a terrain material estimation system (100). The process begins with the user requesting the terrain mapping module (102) to generate a three-dimensional model of a construction site (104). The terrain mapping module captures terrain data from the construction site and provides the user with a 3D model. The user then instructs the surface classification unit (106) to classify the surfaces of the model. The surface classification unit accesses the 3D model data from the terrain mapping module and classifies the surfaces into planar surfaces (108) and curved surfaces (110). Once the classification is completed, the classified surfaces are provided to the user. The user then requests the material calculation processor (112) to calculate material requirements based on the classified surfaces. The material calculation processor retrieves the classified surface data and calculates the material requirements for both planar surfaces (108) and curved surfaces (110), returning the material estimates to the user.
In an embodiment, terrain mapping module 102 is utilized to generate a three-dimensional model 104 of a construction site 104. Said terrain mapping module 102 creates a detailed representation of the construction site 104 by capturing surface and elevation data. The resulting three-dimensional model 104 provides a digital topographical layout, which is crucial for accurately estimating the material requirements for both simple and complex construction sites. The three-dimensional model 104 accounts for various surface features, including slopes, elevations, and irregularities, providing a comprehensive view of the terrain. By generating this model, terrain mapping module 102 enables precise geometric analysis of the site, leading to improved material planning and resource allocation. This capability reduces manual surveying efforts, improves accuracy, and allows for better decision-making during construction processes.
In an embodiment, terrain mapping module 102 generates three-dimensional model 104 using laser scanning technology. Laser scanning technology operates by emitting laser beams that reflect off the surface of construction site 104, measuring the time taken for each reflection to return to the scanner. Terrain mapping module 102 gathers precise data points through this process, constructing a highly detailed three-dimensional model 104. Laser scanning technology captures minute surface details, including texture, elevation changes, and other topographical features that may otherwise be missed by traditional surveying methods. The resulting three-dimensional model 104 provides an accurate and comprehensive representation of the site, which is especially valuable for complex or uneven terrain. Terrain mapping module 102 provides faster and more detailed site analysis, thereby improving material estimation accuracy for the entire project.
In an embodiment, surface classification unit 106 is arranged to divide planar surfaces 108 of the three-dimensional model 104 into horizontal surfaces and sloped surfaces for separate material calculations. By differentiating between these two categories, surface classification unit 106 enables the terrain material estimation system 100 to apply appropriate material estimation methodologies. Horizontal surfaces typically require straightforward calculations, while sloped surfaces may demand additional material to account for the incline. Surface classification unit 106 accurately identifies and classifies each surface type, ensuring the terrain material estimation system 100 allocates the correct materials to each surface. This distinction is crucial for achieving accurate material planning, especially in construction projects where both horizontal and sloped surfaces are prevalent. Each surface category is considered independently, allowing for a more granular and precise approach to material estimation.
In an embodiment, surface classification unit 106 is configured to further classify horizontal surfaces based on the degree of slope. The slope degree impacts the amount of material required for certain surfaces, as steeper slopes may require more material to ensure structural integrity and stability. Surface classification unit 106 processes the geometric data of the three-dimensional model 104 to categorise each horizontal surface by slope gradient. Such classification allows for the adjustment of material calculations according to the specific requirements of each slope. This granular approach results in more accurate material estimations, as material requirements can differ significantly based on slope degree. Construction projects involving varying degrees of incline benefit from this additional classification, ensuring that material estimates reflect the true demands of each surface.
In an embodiment, surface classification unit 106 classifies curved surfaces 110 of the three-dimensional model 104 based on curvature radius. Curved surfaces 110 present unique challenges in terms of material requirements, as the curvature of a surface can affect the type and amount of material needed. Surface classification unit 106 processes geometric data to identify the curvature radius of each curved surface 110. By classifying curved surfaces based on their radius, the system allows for adjustments in material estimations to accommodate the specific needs of tightly curved or broadly curved surfaces. For example, tighter curves may require more material for structural support, while broader curves may require less. This classification enables more accurate and tailored material estimations for projects that involve complex non-linear geometries.
In an embodiment, material calculation processor 112 calculates material compaction factors for planar surfaces 108 and curved surfaces 110. Compaction refers to the reduction in volume that occurs when construction materials, such as soil or gravel, are compacted during the building process. Material calculation processor 112 factors in the compaction rates for each surface type, ensuring that the material estimates account for potential reductions in volume once the materials are applied to the site. Said processor differentiates between planar surfaces 108 and curved surfaces 110, as each surface type may have different compaction characteristics based on its shape and structural requirements. By calculating the compaction factor, material calculation processor 112 ensures that the estimated material quantities reflect the real-world conditions encountered during construction.
In an embodiment, material calculation processor 112 accounts for terrain elevation changes when calculating material requirements for construction site 104. Terrain elevation changes significantly impact the material needed for leveling or grading a site. Material calculation processor 112 processes elevation data from the three-dimensional model 104 to determine where additional material may be needed to raise low areas or remove material from elevated sections. By accounting for elevation changes, the material calculation processor 112 provides a more accurate estimate of the materials required to create a level surface across the construction site. This adjustment is essential for projects involving uneven or sloped terrain, where material requirements may vary significantly depending on site elevation.
In an embodiment, surface classification unit 106 comprises a vector analysis tool to identify the vector direction of each planar surface 108 for slope grading purposes. The vector analysis tool processes the geometric data from the three-dimensional model 104 to determine the directional vectors of each planar surface 108, particularly for sloped surfaces. The vector direction provides critical information about the slope's orientation and gradient, allowing for more accurate grading. The identification of vector directions helps in refining material estimates for sloped surfaces by factoring in the specific direction and gradient of each surface. This vector data is crucial for slope grading tasks, ensuring that the material estimates consider not only the surface area but also the slope's orientation relative to the overall site geometry.
In an embodiment, terrain mapping module 102 is configured to update the three-dimensional model 104 in real-time based on changes occurring at construction site 104. As construction activities progress, the terrain may undergo significant alterations due to excavation, grading, or material placement. Terrain mapping module 102 continuously monitors the site and updates the three-dimensional model 104 to reflect any changes in the topography. This real-time capability allows the terrain material estimation system 100 to adjust material estimates dynamically, ensuring that the calculations remain accurate despite ongoing changes. By providing real-time updates, the system maintains relevancy and accuracy in material estimations throughout the construction process.
In an embodiment, material calculation processor 112 is configured to recommend material types based on the soil composition of construction site 104. Soil composition can greatly affect the choice of construction materials, as different soil types may require specific materials to ensure structural stability and longevity. Material calculation processor 112 processes data related to soil characteristics, including moisture content, density, and stability, and uses this information to suggest appropriate materials for each section of the construction site. The processor's ability to recommend material types based on soil composition ensures that the selected materials are suitable for the conditions of the site, thereby enhancing the structural integrity of the construction project.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation deta












I/We Claims


1. A terrain material estimation system (100) comprising:
a terrain mapping module (102) configured to generate a three-dimensional model of a construction site (104);
a surface classification unit (106) arranged within said terrain mapping module (102), such surface classification unit (106) configured to classify said three-dimensional model into planar surfaces (108) and curved surfaces (110); and
a material calculation processor (112) disposed in communication with said surface classification unit (106), such material calculation processor (112) configured to calculate material requirements for said planar surfaces (108) and curved surfaces (110) based on the geometry of said construction site (104).
2. The terrain material estimation system (100) of claim 1, wherein said terrain mapping module (102) is configured to generate said three-dimensional model (104) using laser scanning technology.
3. The terrain material estimation system (100) of claim 1, wherein said surface classification unit (106) is further configured to divide said planar surfaces (108) into horizontal surfaces and sloped surfaces for separate material calculations.
4. The terrain material estimation system (100) of claim 2, wherein said surface classification unit (106) is configured to further classify said horizontal surfaces based on the degree of slope for more accurate material estimation.
5. The terrain material estimation system (100) of claim 1, wherein said curved surfaces (110) are classified based on curvature radius for varying material requirements.
6. The terrain material estimation system (100) of claim 1, wherein said material calculation processor (112) is further configured to calculate the material compaction factor based on the planar surfaces (108) and curved surfaces (110).
7. The terrain material estimation system (100) of claim 1, wherein said material calculation processor (112) is configured to account for terrain elevation changes in said construction site (104) when calculating material requirements.
8. The terrain material estimation system (100) of claim 1, wherein said surface classification unit (106) comprises a vector analysis tool to identify the vector direction of each planar surface (108) for slope grading purposes.
9. The terrain material estimation system (100) of claim 1, wherein said terrain mapping module (102) is configured to update said three-dimensional model (104) in real-time based on changes in the construction site (104).
10. The terrain material estimation system (100) of claim 1, wherein said material calculation processor (112) is further configured to recommend material types based on the soil composition of the construction site (104).




The present disclosure provides a system for classifying and calculating surface areas of temporary structures based on 3D model geometry, specifically a terrain material estimation system (100). The system includes a terrain mapping module (102) that generates a three-dimensional model of a construction site (104). A surface classification unit (106), arranged within the terrain mapping module, classifies the 3D model into planar surfaces (108) and curved surfaces (110). A material calculation processor (112) communicates with the surface classification unit to calculate material requirements for both planar and curved surfaces based on the geometry of the construction site
, Claims:I/We Claims


1. A terrain material estimation system (100) comprising:
a terrain mapping module (102) configured to generate a three-dimensional model of a construction site (104);
a surface classification unit (106) arranged within said terrain mapping module (102), such surface classification unit (106) configured to classify said three-dimensional model into planar surfaces (108) and curved surfaces (110); and
a material calculation processor (112) disposed in communication with said surface classification unit (106), such material calculation processor (112) configured to calculate material requirements for said planar surfaces (108) and curved surfaces (110) based on the geometry of said construction site (104).
2. The terrain material estimation system (100) of claim 1, wherein said terrain mapping module (102) is configured to generate said three-dimensional model (104) using laser scanning technology.
3. The terrain material estimation system (100) of claim 1, wherein said surface classification unit (106) is further configured to divide said planar surfaces (108) into horizontal surfaces and sloped surfaces for separate material calculations.
4. The terrain material estimation system (100) of claim 2, wherein said surface classification unit (106) is configured to further classify said horizontal surfaces based on the degree of slope for more accurate material estimation.
5. The terrain material estimation system (100) of claim 1, wherein said curved surfaces (110) are classified based on curvature radius for varying material requirements.
6. The terrain material estimation system (100) of claim 1, wherein said material calculation processor (112) is further configured to calculate the material compaction factor based on the planar surfaces (108) and curved surfaces (110).
7. The terrain material estimation system (100) of claim 1, wherein said material calculation processor (112) is configured to account for terrain elevation changes in said construction site (104) when calculating material requirements.
8. The terrain material estimation system (100) of claim 1, wherein said surface classification unit (106) comprises a vector analysis tool to identify the vector direction of each planar surface (108) for slope grading purposes.
9. The terrain material estimation system (100) of claim 1, wherein said terrain mapping module (102) is configured to update said three-dimensional model (104) in real-time based on changes in the construction site (104).
10. The terrain material estimation system (100) of claim 1, wherein said material calculation processor (112) is further configured to recommend material types based on the soil composition of the construction site (104).

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