A method for reconstructing three-dimensional spatial distribution of metal elements and related equipment

Abstract

The application discloses a kind of reconstruction method of metal element three-dimensional space distribution and related equipment, method includes: obtaining the column sample of target multi-metal nucleus, establish three-dimensional coordinate system in column sample;Column sample is cut and is operated, and the rectangular cross section of multiple horizon parallel to the bottom surface of column sample is obtained;Element surface scanning is carried out to rectangular cross section, and the two-dimensional matrix data of metal element content is obtained;The three-dimensional space coordinates of each element data point in two-dimensional matrix data are marked based on three-dimensional coordinate system, and element distribution data is obtained;Three-dimensional reconstruction is carried out based on the element distribution data of all rectangular cross sections, and the spatial distribution model of target metal element in target multi-metal nucleus is obtained.The application overcomes the limitation of prior art two-dimensional analysis, can accurately reveal the enrichment law of element in nucleus, provides reliable data support for resource assessment and metallogenic research, and can be widely applied in element distribution reconstruction technical field.

Description

Technical Field

[0001] This invention relates to the field of element distribution reconstruction technology, and in particular to a method and related equipment for reconstructing the three-dimensional spatial distribution of metal elements. Background Technology

[0002] Against the backdrop of rapid development in strategic emerging industries such as new energy, aerospace, and healthcare, the demand for metal resources such as cobalt, nickel, and rare earth elements continues to grow. Iron-manganese nodules (polymetallic nodules) and iron-manganese crusts (cobalt-rich crusts) in the ocean are rich in key metals such as cobalt, nickel, copper, and rare earth elements, and are considered important alternative resources to terrestrial minerals. These nodules form on the seabed, accumulating metal elements through the slow deposition of iron-manganese oxides (millions of millimeters per year), exhibiting significant three-dimensional spatial distribution characteristics. Therefore, accurately resolving the three-dimensional spatial distribution of metal elements in iron-manganese nodules is crucial for assessing resource potential, optimizing mining strategies, and understanding mineralization mechanisms.

[0003] Currently, existing techniques for analyzing metallic elements in ferromanganese nodules are mostly limited to two-dimensional surface or local sampling, such as point or line scanning using X-ray fluorescence (XRF) or scanning electron microscopy (SEM). These methods cannot comprehensively capture the enrichment patterns of elements in three-dimensional space. Furthermore, traditional methods often require destroying the overall sample structure, leading to loss of spatial information, and have low resolution, making it difficult to reveal the heterogeneity of elemental distribution at the microscale. While existing three-dimensional reconstruction techniques (such as computed tomography CT) can provide structural information, their elemental identification capabilities are limited and cannot be effectively combined with chemical analysis. Summary of the Invention

[0004] The main objective of this invention is to provide a method, apparatus, electronic device, storage medium, and program product for reconstructing the three-dimensional spatial distribution of metal elements, aiming to solve at least one problem in the prior art.

[0005] To achieve the above objectives, one aspect of this invention proposes a method for reconstructing the three-dimensional spatial distribution of metal elements, the method comprising: Obtain a cylindrical sample of the target polymetallic nodule and establish a three-dimensional coordinate system within the cylindrical sample; wherein the cylindrical sample is a cuboid. The cylindrical sample is cut to obtain rectangular cross-sections of multiple layers parallel to the bottom surface of the cylindrical sample. Elemental surface scanning is performed on a rectangular cross-section to obtain a two-dimensional matrix of metal element content; The element distribution data is obtained by marking the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data using a three-dimensional coordinate system. Three-dimensional reconstruction was performed based on the elemental distribution data of all rectangular cross sections to obtain a spatial distribution model of the target metallic elements in the target polymetallic nodule.

[0006] In some embodiments, establishing a three-dimensional coordinate system in the cylindrical sample includes the following steps: Use one of the bottom corners of the cylindrical sample as the origin of the coordinate system; The vertical axis is determined by the edge perpendicular to the bottom surface connected by the origin of the coordinate system, and the horizontal and vertical axes are determined by the other two edges connected by the origin of the coordinate system. A three-dimensional coordinate system is constructed based on the origin, the horizontal axis, the vertical axis, and the vertical axis. The columnar sample was obtained by injecting and curing the target multimetallic nodule.

[0007] In some embodiments, the cylindrical sample is cut to obtain rectangular cross-sections of multiple layers parallel to the bottom surface of the cylindrical sample, including the following steps: In response to the cutting command of the target object, the target cutting device is controlled to cut the cylindrical sample into multiple layers of rectangular cross-sections at equal intervals along the vertical direction of the bottom surface. The target cutting equipment includes diamond wire cutting equipment.

[0008] In some embodiments, elemental surface scanning is performed on a rectangular cross-section to obtain two-dimensional matrix data of the metal element content, including the following steps: Define the rectangular scanning area on the rectangular cross-section; By using a preset scanning technique to perform elemental surface scanning operations with a fixed scanning step size on a rectangular scanning area, two-dimensional matrix data of metal element content is obtained. Among them, the preset scanning techniques include micro-area X-ray fluorescence spectroscopy and laser ablation-inductively coupled plasma mass spectrometry.

[0009] In some embodiments, determining a rectangular scanning region on a rectangular cross-section includes at least one of the following steps: Perform color brightness analysis on the rectangular cross-section, mark the areas with color brightness less than the preset brightness threshold as candidate areas, and determine the rectangular scanning area based on the minimum bounding rectangle of the candidate areas. In response to the selection operation of the target object, a rectangular scanning area is obtained by selecting a rectangle on the rectangular cross-section; In this design, the rectangular scanning area and the corresponding sides of the rectangular cross-section are parallel.

[0010] In some embodiments, the vertical axis of the three-dimensional coordinate system is perpendicular to the bottom surface, and the horizontal axis of the three-dimensional coordinate system is perpendicular to one side of the cylindrical sample. The two-dimensional matrix data is determined based on a preset rectangular scanning area on a rectangular cross-section. The rectangular scanning area and the corresponding sides of the rectangular cross-section are parallel. The three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data are marked based on the three-dimensional coordinate system to obtain the element distribution data, including the following steps: The vertical coordinates of the plane containing the rectangular cross-section are determined by the perpendicular distance between the rectangular cross-section and the origin of the three-dimensional coordinate system. The horizontal axis coordinate of each corner point is determined based on the horizontal projection distance between each corner point of the rectangular cross-section and the origin. The ordinate of each corner point is determined by the longitudinal projection distance between each corner point of the rectangular cross-section and the origin. Based on the horizontal axis coordinates, vertical axis coordinates, and vertical axis coordinates, determine the coordinates of each bottom corner point; Based on the coordinates of each bottom corner point of the rectangular cross-section, the coordinates of each endpoint of the rectangular scanning area are calculated by a scanning analyzer. Based on the endpoint coordinates, and combined with the number of samples of the two-dimensional matrix data in the horizontal and vertical directions of the three-dimensional coordinate system, three-dimensional spatial coordinates are assigned to each element data point to obtain element distribution data.

[0011] In some embodiments, a three-dimensional reconstruction is performed based on the elemental distribution data of all rectangular cross-sections to obtain a spatial distribution model of the target metallic element in the target polymetallic nodule, including the following steps: Based on the three-dimensional spatial coordinates corresponding to the element distribution data, all element distribution data are aligned and stitched together. Based on the alignment and stitching results, a spatial distribution model of the target metal elements in the target polymetallic nodule is generated by a three-dimensional reconstruction algorithm. The 3D reconstruction algorithm includes volume rendering, interpolation, and isosurface extraction.

[0012] To achieve the above objectives, another aspect of the present invention provides a device for reconstructing the three-dimensional spatial distribution of metal elements, the device comprising: The coordinate module is used to acquire cylindrical samples of the target polymetallic nodules and establish a three-dimensional coordinate system within the cylindrical sample; the cylindrical sample is a cuboid. The cutting module is used to cut the cylindrical sample to obtain a rectangular cross-section of multiple layers parallel to the bottom surface of the cylindrical sample. The scanning module is used to perform elemental surface scanning on a rectangular cross-section to obtain two-dimensional matrix data of the metal element content; The element distribution module is used to mark the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data based on the three-dimensional coordinate system, so as to obtain the element distribution data. The 3D reconstruction module is used to perform 3D reconstruction based on the element distribution data of all rectangular cross sections, so as to obtain the spatial distribution model of the target metal element in the target polymetallic nodule.

[0013] To achieve the above objectives, another aspect of the present invention provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned method.

[0014] To achieve the above objectives, another aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method.

[0015] To achieve the above objectives, another aspect of the present invention provides a computer program product, including a computer program that, when executed by a processor, implements the aforementioned method.

[0016] The embodiments of the present invention include at least the following beneficial effects: The present invention provides a method, apparatus, electronic device, storage medium, and program product for reconstructing the three-dimensional spatial distribution of metal elements. This solution involves obtaining a cylindrical sample of a target polymetallic nodule and establishing a three-dimensional coordinate system within the cylindrical sample; wherein the cylindrical sample is a cuboid; cutting the cylindrical sample to obtain multiple rectangular cross-sections parallel to the bottom surface of the cylindrical sample; scanning the rectangular cross-sections to obtain two-dimensional matrix data of the metal element content; marking the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data based on the three-dimensional coordinate system to obtain element distribution data; and performing three-dimensional reconstruction based on the element distribution data of all rectangular cross-sections to obtain a spatial distribution model of the target metal element in the target polymetallic nodule. This invention, through cutting a cylindrical sample with an established three-dimensional coordinate system to obtain rectangular cross-sections of multiple layers, performs elemental surface scanning and three-dimensional reconstruction, enabling a comprehensive reconstruction of the three-dimensional spatial distribution of metal elements in iron-manganese nodules. This invention overcomes the limitations of two-dimensional analysis in existing technologies, accurately revealing the enrichment patterns of elements within the nodules, providing reliable data support for resource assessment and mineralization research. Furthermore, the systematic steps of this invention reduce human error and improve analytical efficiency and accuracy. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of an implementation environment for the method of reconstructing the three-dimensional spatial distribution of metal elements provided in this embodiment of the invention; Figure 2 This is a flowchart illustrating a method for reconstructing the three-dimensional spatial distribution of metal elements according to an embodiment of the present invention. Figure 3 This is a schematic diagram of the unfolding process for establishing a three-dimensional coordinate system in a cylindrical sample, provided by an embodiment of the present invention. Figure 4 This is a schematic diagram of the unfolding process of step S300 provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the unfolding process of step S310 provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the unfolding process of step S500 provided in the embodiment of the present invention; Figure 7 This is a schematic diagram illustrating an example of μ-XRF elemental signal distribution across a cross section of a multimetallic nodule provided in an embodiment of the present invention; Figure 8 This is a schematic diagram illustrating an example of polymetallic nodules being glued and fixed into a cube, and of preparing multi-layer cross-sections, as provided in an embodiment of the present invention. Figure 9 This is a schematic diagram of the structure of a device for reconstructing the three-dimensional spatial distribution of metal elements according to an embodiment of the present invention; Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of this invention; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this invention as detailed in the appended claims.

[0019] It is understood that the terms “first,” “second,” etc., used in this invention may be used herein to describe various concepts, but unless specifically stated otherwise, these concepts are not limited by these terms. These terms are used only to distinguish one concept from another. For example, first information may also be referred to as second information without departing from the scope of embodiments of the invention, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to determination” as used herein may be interpreted as “when…” or “when…” or “in response to determination.”

[0020] The terms “at least one,” “multiple,” “each,” “any,” etc., used in this invention, “at least one” includes one, two, or more than two; “multiple” includes two or more than two; “each” refers to each of the corresponding multiple; and “any” refers to any one of the multiple.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to limit the invention.

[0022] In related technologies, the analysis of metallic elements in iron-manganese nodules is mostly limited to two-dimensional surface or local sampling, such as point or line scanning using X-ray fluorescence (XRF) or scanning electron microscopy (SEM). These methods cannot comprehensively capture the enrichment patterns of elements in three-dimensional space. Furthermore, traditional methods often require destroying the overall sample structure, leading to loss of spatial information, and have low resolution, making it difficult to reveal the heterogeneity of elemental distribution at the microscale. While existing three-dimensional reconstruction techniques (such as computed tomography CT) can provide structural information, their elemental identification capabilities are limited and cannot be effectively combined with chemical analysis.

[0023] In view of this, this invention provides a method and related equipment for reconstructing the three-dimensional spatial distribution of metal elements. This method involves acquiring a cylindrical sample of a target polymetallic nodule and establishing a three-dimensional coordinate system within the sample; wherein the cylindrical sample is a cuboid; cutting the sample to obtain multiple rectangular cross-sections parallel to the bottom surface of the sample; scanning the rectangular cross-sections to obtain two-dimensional matrix data of the metal element content; marking the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data based on the three-dimensional coordinate system to obtain element distribution data; and performing three-dimensional reconstruction based on the element distribution data of all rectangular cross-sections to obtain a spatial distribution model of the target metal element in the target polymetallic nodule. This invention, through cutting a cylindrical sample with an established three-dimensional coordinate system to obtain rectangular cross-sections of multiple layers, performs elemental surface scanning and three-dimensional reconstruction, enabling a comprehensive reconstruction of the three-dimensional spatial distribution of metal elements in iron-manganese nodules. This invention overcomes the limitations of two-dimensional analysis in existing technologies, accurately revealing the enrichment patterns of elements within the nodules, providing reliable data support for resource assessment and mineralization research. Furthermore, the systematic steps of this invention reduce human error and improve analytical efficiency and accuracy.

[0024] It is understood that the method for reconstructing the three-dimensional spatial distribution of metal elements provided by this invention can be applied to any computer device with data processing and computing capabilities, and this computer device can be various terminals or servers. When the computer device in the embodiment is a server, the server is an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. Optionally, the terminal can be a smartphone, tablet, laptop, or desktop computer, but it is not limited to these.

[0025] like Figure 1 The diagram shown is a schematic representation of an implementation environment provided by an embodiment of the present invention. (Refer to...) Figure 1 The implementation environment includes at least one terminal 102 and a server 101. The terminal 102 and the server 101 can be connected via a network, either wirelessly or via a wired connection, to complete data transmission and exchange.

[0026] Server 101 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms.

[0027] Additionally, server 101 can also be a node server in a blockchain network. Blockchain is a novel application model of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanisms, and encryption algorithms.

[0028] Terminal 102 can be a smartphone, tablet computer, laptop computer, desktop computer, smart speaker, smartwatch, etc., but is not limited to these. Terminal 102 and server 101 can be directly or indirectly connected via wired or wireless communication, and this embodiment of the invention does not impose any limitations.

[0029] For example, based on Figure 1 The implementation environment shown in this embodiment of the invention provides a method for reconstructing the three-dimensional spatial distribution of metal elements. The following description uses the application of this method for reconstructing the three-dimensional spatial distribution of metal elements in server 101 as an example. It can be understood that this method for reconstructing the three-dimensional spatial distribution of metal elements can also be applied in terminal 102.

[0030] Reference Figure 2 , Figure 2 This is an optional flowchart of a method for reconstructing the three-dimensional spatial distribution of metal elements provided in an embodiment of the present invention. The execution subject of this method can be any of the aforementioned computer devices (including servers or terminals). Figure 2 The method may include, but is not limited to, steps S100 to S500.

[0031] Step S100: Obtain a cylindrical sample of the target polymetallic nodule and establish a three-dimensional coordinate system in the cylindrical sample; Among them, the cylindrical samples are cuboids, and the cubes are special cuboids; It should be noted that in some embodiments, such as Figure 3 As shown, establishing a three-dimensional coordinate system in a cylindrical sample can include the following steps: S110, taking one of the bottom corners of the cylindrical sample as the origin of the coordinate system; S120, determining the vertical axis based on the edge perpendicular to the bottom surface connected to the origin of the coordinate system, and determining the horizontal and vertical axes based on the other two edges connected to the origin of the coordinate system; S130, constructing a three-dimensional coordinate system based on the origin of the coordinate system, the horizontal axis, the vertical axis, and the vertical axis; wherein, the cylindrical sample is obtained by injecting and curing the target multi-metallic nodule.

[0032] For example, in some specific embodiments, a typical iron-manganese nodule sample is selected, cured into a regular cubic prism by injection, and the positions of the eight corner points of the cube are marked with three-dimensional coordinates. The coordinate system is relative direction and position coordinates, where the four bottom corner points of the cube are (0, 0, 0), (X, 0, 0), (X, Y, 0), (0, Y, 0), and the corresponding coordinates of the four top corner points are (0, 0, Z), (X, 0, Z), (X, Y, Z), (0, Y, Z), where X, Y, and Z are the length, width, and height of the cube, respectively.

[0033] Specifically, in this embodiment of the invention, a three-dimensional coordinate system is constructed based on the vertical edge and the bottom edge of the cylindrical sample as the origin of the coordinate system. This ensures the uniformity and repeatability of the coordinate system. This step, combined with the injection curing process, protects the integrity of the sample and avoids structural damage during cutting and scanning, thus ensuring accurate marking of the three-dimensional spatial coordinates and facilitating subsequent data alignment and model generation.

[0034] Step S200: Cut the cylindrical sample to obtain rectangular cross-sections of multiple layers parallel to the bottom surface of the cylindrical sample. It should be noted that in some embodiments, step S200 may include the following steps: in response to a cutting command for the target object, controlling the target cutting device to cut the cylindrical sample into multiple layers of rectangular cross-sections at equal intervals along the vertical direction of the bottom surface; wherein, the target cutting device includes a diamond wire cutting device.

[0035] For example, in some specific embodiments, the cubic prism is divided into N (N>10, to ensure spatial resolution in the Z-axis direction, N is mainly determined based on the sample size and cutting technique) layered rectangular cross sections along the longitudinal direction (Z-axis) at equal intervals, and precision cutting is performed using equipment such as diamond wire cutting to prepare multi-layered cross sections of multi-metallic nodules and each section is polished flat.

[0036] Specifically, the embodiments of the present invention employ an equal-spacing cutting method (such as using a diamond wire cutting device) to achieve uniform layering of the cylindrical sample, which can avoid sample deformation or elemental contamination that may be caused by traditional cutting tools. In addition, equal-spacing cutting ensures the consistency of data at each layer, providing uniform basic data for three-dimensional reconstruction and improving the accuracy and reliability of the model.

[0037] Step S300: Perform elemental surface scanning on the rectangular cross-section to obtain two-dimensional matrix data of the metal element content; It should be noted that in some embodiments, such as Figure 4 As shown, step S300 may include the following steps: S310, determining a rectangular scanning area on a rectangular cross-section; S320, performing elemental surface scanning operations on the rectangular scanning area with a fixed scanning step size using a preset scanning technology to obtain two-dimensional matrix data of metal element content; wherein, the preset scanning technology includes micro-area X-ray fluorescence spectroscopy and laser ablation-inductively coupled plasma mass spectrometry.

[0038] For example, in some specific embodiments, a rectangular scanning area containing the nodule sample is selected based on the distribution location of iron-manganese nodules in each cross section. Then, high-resolution elemental surface scanning is performed using micro-area X-ray fluorescence spectroscopy (μ-XRF) or laser ablation-inductively coupled plasma mass spectrometry (LA-ICP-MS), with the scanning step size kept at equal intervals. This allows the acquisition of two-dimensional matrix data of the content of key metal elements such as Co, Ni, and Cu in each cross section.

[0039] Specifically, in this embodiment of the invention, elemental surface scanning is performed using μ-XRF or LA-ICP-MS to obtain high-resolution two-dimensional matrix data. These advanced technologies can simultaneously detect multiple metal elements, and the scanning step size is adjustable, enabling quantitative analysis of elements at the microscale. This overcomes the shortcomings of existing point scanning methods and provides rich spatial elemental information.

[0040] It should be noted that in some embodiments, such as Figure 5 As shown, step S310 includes at least one of the following steps: S311, performing color brightness analysis on the rectangular cross-section, marking areas with color brightness less than a preset brightness threshold as candidate areas, and determining the rectangular scanning area based on the minimum bounding rectangle of the candidate areas; S312, responding to the selection operation of the target object, selecting the rectangular scanning area on the rectangular cross-section; wherein, the rectangular scanning area and each side corresponding to the rectangular cross-section are parallel.

[0041] The nodules are black and easily distinguishable from the transparent glue. The scanning area is rectangular, parallel to the sides of the cross-section, and only needs to include the nodules.

[0042] For example, in some specific implementations, the two selection methods can be implemented as follows: 1. Color brightness analysis method: Image processing software is used to perform color and brightness analysis on the cross-section, and a preset brightness threshold is set (for example, areas with brightness values ​​below 50 are considered candidate areas for enriched metals). The software then automatically identifies these candidate areas and calculates their minimum bounding rectangle. This area can then be used for subsequent elemental surface scanning to ensure that the scan focuses on the metal-rich area and improves the representativeness of the data.

[0043] 2. Selection by box operation: Researchers observed cross-sectional images through a user interface (such as computer software), manually dragged the mouse to select a rectangular area (e.g., from coordinates (2cm, 2cm) to (7cm, 7cm)), which covered the parts suspected of being enriched in cobalt and nickel, and finally set the rectangle corresponding to the selected area as the scanning area.

[0044] Specifically, this invention provides two methods for determining the rectangular scanning area (color brightness analysis or bounding box selection), enhancing the flexibility and adaptability of the method. Color brightness analysis can automatically identify nodule-rich areas, reducing human intervention and improving efficiency. Bounding box selection allows users to customize the area based on experience, ensuring highly targeted scanning. Both methods control the scanning area to be parallel to the cross-sectional edge, avoiding data distortion and laying the foundation for subsequent three-dimensional coordinate marking.

[0045] Step S400: Mark the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data based on the three-dimensional coordinate system to obtain the element distribution data; It should be noted that the vertical axis of the three-dimensional coordinate system is perpendicular to the bottom surface, and the horizontal axis of the three-dimensional coordinate system is perpendicular to one side of the cylindrical sample. The two-dimensional matrix data is determined based on a preset rectangular scanning area on the rectangular cross-section. The rectangular scanning area and the corresponding sides of the rectangular cross-section are parallel. In some embodiments, step S400 may include the following steps: determining the vertical axis coordinates of the plane containing the rectangular cross-section based on the vertical distance between the rectangular cross-section and the origin of the three-dimensional coordinate system; determining the horizontal axis coordinates of each bottom corner point based on the horizontal projection distance between each bottom corner point of the rectangular cross-section and the origin of the coordinate system; determining the vertical axis coordinates of each bottom corner point based on the vertical axis coordinates; determining the bottom corner coordinates of each bottom corner point based on the horizontal axis coordinates, vertical axis coordinates, and horizontal axis coordinates; calculating the coordinates of each endpoint of the rectangular scanning area using a scanning analyzer based on the coordinates of each bottom corner point of the rectangular cross-section; and assigning three-dimensional spatial coordinates to each element data point based on the endpoint coordinates and the number of samples of the two-dimensional matrix data in the horizontal and vertical directions of the three-dimensional coordinate system to obtain element distribution data.

[0046] For example, in some specific embodiments, taking a three-dimensional coordinate system established with one bottom corner of the cylindrical sample as the origin and the direction connecting the three sides as an example, firstly, the endpoint coordinates of each cross-section are marked, and the coordinates of the four bottom corners of each rectangular cross-section are recorded as (0, 0, z), (X, 0, z), (X, Y, z), (0, Y, z), where z is the distance from the bottom surface of the cube, and X and Y are the length and width of the cylindrical sample; then, the coordinates of the four endpoints of the rectangular scanning area in each cross-section are accurately measured by a scanning analyzer or other equipment, which are (x1, y1, z1), (X-x2, y1, z1), (X-x2, Y-y2, z1), (x1, Y-y2, z1), where X, Y, and Z are the length, width, and height of the cube, respectively, x1 and x2 are the parallel distances from the rectangular scanning area to the two sides of the rectangular cross-section, y1, y2 represents the parallel distance from the rectangular scanning area to the other two sides of the cross-sectional rectangle, and z1 is the distance from the bottom surface; finally, based on the spatial position of each scanning endpoint of the two-dimensional matrix data and the number of samples in the X and Y directions, each element data point is assigned a corresponding three-dimensional spatial coordinate (x, y, z). N y N , z N ). Among them, z N This represents the distance of the cross-section from the bottom surface. The four coordinates and the distances along the X and Y axes of each scanned rectangular area can be measured. The data obtained from element scanning are evenly spaced in the X and Y axes, thus allowing for the assignment of x values ​​to each test element using arithmetic progressions. N y N coordinate.

[0047] Specifically, this embodiment of the invention calculates the three-dimensional spatial coordinates of each element data point, including the determination of the vertical, horizontal, and longitudinal axis coordinates, thereby achieving precise spatial positioning of element distribution data. This embodiment of the invention utilizes a scanning analyzer to measure endpoint coordinates and, combined with the number of samples, ensures spatial consistency of data points, reduces stitching errors, and provides accurate input for high-quality three-dimensional reconstruction.

[0048] Step S500: Perform three-dimensional reconstruction based on the element distribution data of all rectangular cross sections to obtain the spatial distribution model of the target metal element in the target polymetallic nodule. It should be noted that in some embodiments, such as Figure 6 As shown, step S500 may include the following steps: S510, aligning and stitching all element distribution data based on the three-dimensional spatial coordinates corresponding to the element distribution data; S520, generating a spatial distribution model of the target metal element in the target polymetallic nodule based on the alignment and stitching results using a three-dimensional reconstruction algorithm; wherein, the three-dimensional reconstruction algorithm includes volume rendering, interpolation, and isosurface extraction.

[0049] For example, in some specific implementations, element distribution data from different cross sections are integrated, aligned and stitched according to their spatial coordinates, and a spatial distribution model of key metal elements inside the sample is generated through three-dimensional reconstruction algorithms such as volume rendering, interpolation, and Marching Cubes (isosurface extraction), thereby realizing the visual expression of element enrichment features. Three-dimensional mesh, point cloud, or volume rendering methods can all be used.

[0050] Specifically, this invention generates a spatial distribution model of the target metal element by aligning and stitching all element distribution data and applying three-dimensional reconstruction algorithms such as volume rendering, interpolation, or isosurface extraction. This invention enables seamless data integration, thereby visualizing the three-dimensional enrichment pattern of elements in nodules, supporting quantitative analysis (such as concentration gradient calculation), and significantly improving the accuracy and scientific research value of resource assessment.

[0051] It should be noted that, in some specific application scenarios, the embodiments of the present invention can also be applied to the method for reconstructing the three-dimensional spatial distribution of metal elements based on marine iron-manganese crusts (cobalt-rich crusts), polymetallic sulfides, and other samples; in addition, the embodiments of the present invention can also use technologies such as the Total Mineral Analysis Instrument (TIMA) and micro-area X-ray diffraction (μ-XRD) to realize the method for reconstructing the three-dimensional spatial distribution of mineral composition and structure in situ.

[0052] To explain in detail the principle of the technical solution of the present invention, the overall process of the present invention will be described below with reference to some specific embodiments. It is easy to understand that the following is an explanation of the technical principle of the present invention and should not be regarded as a limitation of the present invention.

[0053] First, it should be noted that advanced in-situ analytical techniques such as micro-area X-ray fluorescence spectroscopy (μ-XRF) and laser ablation-inductively coupled plasma mass spectrometry (LA-ICP-MS) can achieve high-resolution elemental surface scanning of thin sections of samples at different scales. For example, Figure 7 As shown, μ-XRF uses a multi-channel capillary focusing lens to focus the excitation light into a very small area, achieving excellent spatial resolution. When high-energy X-rays irradiate the sample, they collide with atoms, exciting the formation of secondary X-ray fluorescence. The wavelength or energy of the secondary X-ray fluorescence corresponds to the element, thus allowing the determination of the relative abundance of the element. LA-ICP-MS uses a high-energy laser beam focused on the sample surface, causing it to locally vaporize into an aerosol. This aerosol is then transported by a carrier gas into a high-temperature plasma where it is completely ionized, forming an ion beam. After the ion beam is separated by mass spectrometry according to its mass-to-charge ratio, it is measured by a detector, thus enabling qualitative and quantitative analysis of the elemental composition of a micro-region in a solid sample. These techniques provide two-dimensional matrix data of the scanned area.

[0054] Currently, elemental surface scanning analysis based on μ-XRF and LA-ICP-MS techniques mainly focuses on single cross-sections of iron-manganese nodules. However, relying solely on two-dimensional elemental distribution information from a single cross-section is insufficient to comprehensively reveal the enrichment behavior of key metal elements throughout the nodule's growth history, and may even lead to misinterpretations. Determining the appropriate method to reconstruct the three-dimensional elemental distribution in nodules / crusts remains a significant technical challenge.

[0055] Therefore, embodiments of the present invention provide a method for reconstructing the three-dimensional spatial distribution of metal elements, which can be implemented through the following process: Step 1. Sample Preparation and Fixation: A typical iron-manganese nodule sample was selected and cured into a regular cubic prism through adhesive injection. The eight corner points of the cube were then labeled with three-dimensional coordinates. The coordinate system consists of relative direction and position coordinates. The four bottom corner points of the cube are (0, 0, 0), (X, 0, 0), (X, Y, 0), and (0, Y, 0), respectively. The corresponding coordinates of the four top corner points are (0, 0, Z), (X, 0, Z), (X, Y, Z), and (0, Y, Z), respectively. X, Y, and Z represent the length, width, and height of the cube, respectively (e.g., ...). Figure 8 (As shown).

[0056] Step 2. Multi-layer cross-sectional preparation: Divide the cubic prism into N (N>10, to ensure spatial resolution in the Z-axis direction; N is mainly determined based on sample size and cutting technique) layered rectangular cross-sections at equal intervals along the longitudinal direction (Z-axis). Record the coordinates of the four base corner points of each rectangular cross-section: (0, 0, z), (X, 0, z), (X, Y, z), (0, Y, z), where z is the distance from the base of the cube (e.g., ...). Figure 8 As shown in the figure, precision cutting was performed using equipment such as diamond wire cutting to prepare multi-layer cross-sections of multi-metallic nodules, and each cross-section was ground flat and the endpoint coordinates of each cross-section were marked.

[0057] Step 3. Cross-sectional elemental scanning: Based on the distribution locations of iron-manganese nodules in each cross-section from Step 2, a rectangular scanning area containing the nodule sample is selected. Each side of this rectangle is parallel to the side of the cross-sectional rectangle. Using a scanning analyzer or similar equipment, the coordinates of the four endpoints of the rectangular scanning area in each cross-section are accurately calculated as (x1, y1, z1), (X-x2, y1, z1), (X-X2, Y-y2, z1), and (x1, Y-y2, z1), where X, Y, and Z are the length, width, and height of the cube, respectively. x1 and x2 are the parallel distances from the rectangular scanning area to the two sides of the cross-sectional rectangle, and y1 and y2 are the parallel distances from the rectangular scanning area to the other two sides of the cross-sectional rectangle (e.g., ...). Figure 8 (As shown). Then, high-resolution elemental surface scanning is performed using μ-XRF or LA-ICP-MS techniques, with the scanning step size maintained at equal intervals.

[0058] Step 4. Element Data Extraction and Coordinate Assignment: Based on the surface scanning results from Step 3, obtain two-dimensional matrix data of the content of key metallic elements such as Co, Ni, and Cu in each cross-section. According to the spatial position of each scanning endpoint and the number of samples in the X and Y directions, assign corresponding three-dimensional spatial coordinates (x, y, y) to each element data point. N y N , z N ). Among them, z N This represents the distance of the cross-section from the bottom surface. The four coordinates and the distances along the X and Y axes of each scanned rectangular area can be measured. The data obtained from element scanning are equally spaced in the X and Y axes, thus allowing each test element to be assigned an x-coordinate. N y N , z N coordinate.

[0059] Step 5. 3D Reconstruction and Visualization: Integrate element distribution data from different cross sections, align and stitch them according to their spatial coordinates, and generate a spatial distribution model of key metal elements inside the sample using 3D reconstruction algorithms such as volume rendering, interpolation, and Marching Cubes (isosurface extraction) to achieve a visual representation of element enrichment features. Methods such as 3D mesh, point cloud, or volume rendering are all acceptable.

[0060] In summary, this invention provides a method for reconstructing the three-dimensional spatial distribution of key metallic elements in ferromanganese nodules. The method involves preparing regular cubes from ferromanganese nodule samples by gel impregnation and fixation, and then preparing high-resolution, equally spaced cross-sectional slices. μ-XRF and LA-ICP-MS are used to perform surface scanning analysis of key metallic elements in each cross-section system to obtain elemental distribution data. By integrating and stitching the elemental surface scanning data from different cross-sections and performing three-dimensional reconstruction based on their spatial positions, a visual reconstruction of the three-dimensional spatial distribution characteristics of key metallic elements within the sample is ultimately achieved. Specifically, the core technology of this invention lies in assigning precise three-dimensional spatial coordinates to each measuring point on each cross-section based on the two-dimensional metallic element matrix data obtained from multi-layer cross-sectional scanning of ferromanganese nodules, thus realizing the transformation of the metallic elements from location-information-less data to three-dimensional spatial distribution. The reconstruction of the three-dimensional spatial distribution of key metallic elements in ferromanganese nodules is a cutting-edge field in current marine mineral resource research, greatly deepening our understanding of the growth environment and mineralization process of ferromanganese nodules.

[0061] Compared with the prior art, the present invention has at least the following beneficial effects: 1. Revealing the growth mechanism and non-uniformity: Ferromanganese nodules exhibit lamellar, columnar, dendritic, or intermittent growth patterns. Three-dimensional reconstruction clearly shows that the nodules do not grow uniformly. By tracing the distribution of different elements (such as Ni, Cu, Co, Zn, Ti, Ce, etc.) in three-dimensional space, the distribution patterns of metal elements in different growth sections can be visually observed.

[0062] 2. Analysis of Multiple Genetic Superposition Processes: The genesis of iron-manganese nodules is mainly of three types: hydrogenic (metals are directly precipitated from overlying seawater), diagenetic (metals diffuse from pore water in underlying sediments), and hydrothermal. Three-dimensional elemental distribution can accurately characterize the spatial domain of contributions from different genesis. Three-dimensional metal elemental reconstruction can quantitatively calculate the proportion of contributions from different genesis and their changes throughout the growth history.

[0063] 3. Detailed characterization of element occurrence states and symbiotic relationships: Correlation analysis of coexisting elements in three-dimensional space can infer the occurrence carriers of elements. For example, the high degree of co-precipitation of Ni and Cu in three-dimensional space indicates that they may jointly replace Mn in manganese oxide minerals (such as hydrous manganese ore). 2+Co, on the other hand, may be independently enriched in iron oxide phases (such as hexagonal lepidocrocite). Three-dimensional images may show that positive Ce anomalies (Ce / Ce*>1) are mainly distributed in more oxidizing regions (such as the surface of nodules), which provides the most direct spatial evidence for revealing the oxidative enrichment process of Ce.

[0064] 4. High-resolution paleoenvironmental "recorder": The growth layer of nodules, like tree rings, records the paleooceanic chemical conditions during their growth period. Changes in the three-dimensional elemental distribution and their ratios (such as Co / (Ni+Cu), Ce / Ce*, Fe / Mn, etc.) can infer the evolutionary history of the redox state, productivity level, bottom current intensity, and material sources of the paleoocean. For example, an increased Fe / Mn ratio may indicate a more reducing environment or increased terrestrial input; the Ce / Ce* ratio is a sensitive indicator of water oxidation; and the Co / (Ni+Cu) ratio is often used to distinguish between aqueous processes (high Co) and diagenetic processes (low Co).

[0065] 5. Identifying Paleooceanic Events: Three-dimensional reconstruction may reveal drastic simultaneous changes in the content and ratios of all key metals at a specific growth layer. This likely corresponds to a major paleooceanic event, such as ocean anoxic events, changes in deep water circulation caused by global cooling / warming, or large-scale volcanic activity. These events leave a permanent "mark" on nodule growth by altering the chemical composition of seawater.

[0066] 6. Understanding the integrity of mineralization systems: By comparing the internal structures of nodules in different regions and at different ages, more complete mineralization models can be established to predict which regions' nodules may be more enriched with specific key metals, thus guiding future exploration work.

[0067] like Figure 9 As shown, this embodiment of the invention also provides a device 900 for reconstructing the three-dimensional spatial distribution of metal elements, which can implement the above-described method. This device may include: The coordinate module 910 is used to acquire the cylindrical sample of the target polymetallic nodule and establish a three-dimensional coordinate system in the cylindrical sample; wherein the cylindrical sample is a cuboid. The cutting module 920 is used to cut the cylindrical sample to obtain a rectangular cross-section of multiple layers parallel to the bottom surface of the cylindrical sample. The scanning module 930 is used to perform elemental surface scanning on a rectangular cross-section to obtain two-dimensional matrix data of the metal element content; The element distribution module 940 is used to mark the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data based on the three-dimensional coordinate system, so as to obtain the element distribution data. The 3D reconstruction module 950 is used to perform 3D reconstruction based on the element distribution data of all rectangular cross sections to obtain the spatial distribution model of the target metal element in the target polymetallic nodule.

[0068] It is understood that the content of the above method embodiments is applicable to the present device embodiments. The specific functions implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0069] This invention also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the method described above. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0070] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0071] like Figure 10 As shown, Figure 10 The hardware structure of an electronic device 1000 according to another embodiment is illustrated. The electronic device 1000 includes: The processor 1001 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (aSIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present invention. The memory 1002 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RaM). The memory 1002 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1002 and is called and executed by the processor 1001. Input / output interface 1003 is used to implement information input and output; The communication interface 1004 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 1005 transmits information between various components of the device (e.g., processor 1001, memory 1002, input / output interface 1003, and communication interface 1004); The processor 1001, memory 1002, input / output interface 1003 and communication interface 1004 are connected to each other within the device via bus 1005.

[0072] The electronic device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0073] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0074] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0075] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0076] It is understood that the content of the above method embodiments is applicable to the embodiments of this program product. The specific functions implemented by the embodiments of this program product are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0077] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0078] The present invention provides a method, apparatus, electronic device, storage medium, and program product for reconstructing the three-dimensional spatial distribution of metal elements. This method involves acquiring a cylindrical sample of a target polymetallic nodule and establishing a three-dimensional coordinate system within the sample; wherein the cylindrical sample is a cuboid; cutting the sample to obtain multiple rectangular cross-sections parallel to the bottom surface of the sample; scanning the rectangular cross-sections to obtain two-dimensional matrix data of the metal element content; marking the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data based on the three-dimensional coordinate system to obtain element distribution data; and performing three-dimensional reconstruction based on the element distribution data from all rectangular cross-sections to obtain a spatial distribution model of the target metal element in the target polymetallic nodule. This invention, through cutting a cylindrical sample with an established three-dimensional coordinate system to obtain rectangular cross-sections of multiple layers, performs elemental surface scanning and three-dimensional reconstruction, enabling a comprehensive reconstruction of the three-dimensional spatial distribution of metal elements in iron-manganese nodules. This invention overcomes the limitations of two-dimensional analysis in existing technologies, accurately revealing the enrichment patterns of elements within the nodules, providing reliable data support for resource assessment and mineralization research. Furthermore, the systematic steps of this invention reduce human error and improve analytical efficiency and accuracy.

[0079] The embodiments described in this invention are for the purpose of more clearly illustrating the technical solutions of the embodiments of this invention, and do not constitute a limitation on the technical solutions provided by the embodiments of this invention. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this invention are also applicable to similar technical problems.

[0080] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present invention, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0081] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0082] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0083] The preferred embodiments of the present invention have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and spirit of the present invention should be within the scope of the claims of the present invention.

Claims

1. A method for reconstructing the three-dimensional spatial distribution of metallic elements, characterized in that, The method includes the following steps: Obtain a cylindrical sample of the target polymetallic nodule, and establish a three-dimensional coordinate system in the cylindrical sample; wherein the cylindrical sample is a cuboid; The cylindrical sample is cut to obtain a rectangular cross-section of multiple layers parallel to the bottom surface of the cylindrical sample. Elemental surface scanning is performed on the rectangular cross-section to obtain two-dimensional matrix data of the metal element content; Based on the three-dimensional coordinate system, the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data are marked to obtain the element distribution data; Based on the element distribution data of all the rectangular cross sections, a three-dimensional reconstruction is performed to obtain a spatial distribution model of the target metal element in the target polymetallic nodule. Wherein, the vertical axis of the three-dimensional coordinate system is perpendicular to the bottom surface, and the horizontal axis of the three-dimensional coordinate system is perpendicular to one side of the cylindrical sample. The two-dimensional matrix data is determined based on a preset rectangular scanning area on the rectangular cross-section, and the rectangular scanning area is parallel to each side of the rectangular cross-section. The step of marking the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data based on the three-dimensional coordinate system to obtain element distribution data includes the following steps: The vertical coordinates of the plane containing the rectangular cross-section are determined based on the perpendicular distance between the rectangular cross-section and the origin of the three-dimensional coordinate system. The horizontal axis coordinate of each of the bottom corner points is determined based on the horizontal projection distance between each bottom corner point of the rectangular cross-section and the origin of the coordinate system. The ordinate of each bottom corner point is determined based on the longitudinal projection distance between each bottom corner point of the rectangular cross-section and the origin of the coordinate system. Based on the horizontal axis coordinates, the vertical axis coordinates, and the vertical axis coordinates, determine the coordinates of each of the bottom corner points; Based on the coordinates of each bottom corner point of the rectangular cross-section, the coordinates of each endpoint of the rectangular scanning area are calculated by a scanning analyzer. Based on the endpoint coordinates, and combined with the number of samples of the two-dimensional matrix data in the horizontal and vertical directions of the three-dimensional coordinate system, the three-dimensional spatial coordinates are assigned to each element data point to obtain the element distribution data.

2. The method according to claim 1, characterized in that, Establishing a three-dimensional coordinate system in the cylindrical sample includes the following steps: Use one of the bottom corner points of the cylindrical sample as the origin of the coordinate system; The vertical axis is determined based on the side perpendicular to the bottom surface connected to the origin of the coordinate system, and the horizontal and vertical axes are determined based on the other two sides connected to the origin of the coordinate system. The three-dimensional coordinate system is constructed based on the origin, the horizontal axis, the vertical axis, and the vertical axis. The column sample is obtained by injecting and curing the target multimetallic nodule.

3. The method according to claim 1, characterized in that, The step of cutting the cylindrical sample to obtain rectangular cross-sections of multiple layers parallel to the bottom surface of the cylindrical sample includes the following steps: In response to a cutting command for the target object, the target cutting device is controlled to cut the cylindrical sample into multiple layers of rectangular cross-sections at equal intervals along the vertical direction of the bottom surface. The target cutting equipment includes a diamond wire cutting device.

4. The method according to claim 1, characterized in that, The step of performing elemental surface scanning on the rectangular cross-section to obtain two-dimensional matrix data of the metal element content includes the following steps: Determine a rectangular scanning area on the rectangular cross-section; The rectangular scanning area is scanned using a preset scanning technique with a fixed scanning step size to obtain the two-dimensional matrix data of the metal element content. The preset scanning technology includes micro-area X-ray fluorescence spectroscopy and laser ablation-inductively coupled plasma mass spectrometry.

5. The method according to claim 4, characterized in that, Determining the rectangular scanning region on the rectangular cross-section includes at least one of the following steps: Perform color brightness analysis on the rectangular cross-section, mark the areas with color brightness less than a preset brightness threshold as candidate areas, and determine the rectangular scanning area based on the minimum bounding rectangle of the candidate areas; In response to a selection operation of a target object, a rectangular scanning area is obtained by selecting a region on the rectangular cross-section. The rectangular scanning area is parallel to each side of the rectangular cross-section.

6. The method according to any one of claims 1 to 5, characterized in that, The step of performing three-dimensional reconstruction based on the elemental distribution data of all the rectangular cross sections to obtain a spatial distribution model of the target metallic element in the target polymetallic nodule includes the following steps: Based on the three-dimensional spatial coordinates corresponding to the element distribution data, all the element distribution data are aligned and stitched together. Based on the alignment and splicing results, a spatial distribution model of the target metal element in the target polymetallic nodule is generated by a three-dimensional reconstruction algorithm. The 3D reconstruction algorithm includes volume rendering, interpolation, and isosurface extraction.

7. A device for reconstructing the three-dimensional spatial distribution of metallic elements, characterized in that, The apparatus for implementing the method of claim 1 includes: A coordinate module is used to acquire a cylindrical sample of the target polymetallic nodule and establish a three-dimensional coordinate system in the cylindrical sample; wherein the cylindrical sample is a cuboid. The cutting module is used to cut the cylindrical sample to obtain a rectangular cross-section of multiple layers parallel to the bottom surface of the cylindrical sample. The scanning module is used to perform elemental surface scanning on the rectangular cross-section to obtain two-dimensional matrix data of the metal element content; The element distribution module is used to mark the three-dimensional spatial coordinates of each element data point in the two-dimensional matrix data based on the three-dimensional coordinate system, so as to obtain element distribution data. The three-dimensional reconstruction module is used to perform three-dimensional reconstruction based on the element distribution data of all the rectangular cross sections to obtain a spatial distribution model of the target metal element in the target polymetallic nodule.

8. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method according to any one of claims 1 to 6.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 6.

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