Distribution network material global visual display system and method based on Internet of Things technology

Abstract

The invention relates to the technical field of three-dimensional visualization, in particular to a distribution network material global visual display system and method based on the Internet of Things technology, and the system comprises a three-dimensional modeling module which is used for constructing a global three-dimensional coordinate system based on an Internet of Things sensing network, and obtaining the original position data of a distribution network material entity in the global three-dimensional coordinate system; pre-defining a standard three-dimensional geometric model of the distribution network material entity based on the unique identification code of the distribution network material entity; and the orientation identification module is used for acquiring a multi-view digital image of the distribution network material entity, and determining orientation information of the distribution network material entity in the digital image based on the standard three-dimensional geometric model and an image feature identification algorithm. Through the Internet of Things sensing network and the multi-view image recognition technology, the system can obtain and update the position and state of the distribution network material in real time, the accuracy of the position and state data of the material is ensured, and especially in the positioning process of the distribution network material, dynamic correction and updating can be carried out according to real-time data.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of three-dimensional visualization, specifically to a global visualization display system and method for distribution network materials based on Internet of Things technology. BACKGROUND

[0002] With the continuous growth of the global population and the acceleration of urbanization, the demand for urban power is increasing, and the reliability and stability of the power system become particularly important. At the same time, the distribution network needs to have higher reaction speed and emergency response capability when dealing with various emergencies, such as sudden equipment failure, natural disasters or other emergencies, which requires the distribution network system to quickly identify problems and make adjustments.

[0003] Currently, the traditional distribution network material management system usually relies on manual input or regular updates, and cannot obtain the status and location of materials in real time. This lagging data update may lead to inaccurate material management, increasing the risk of material loss, damage or expiration. Moreover, it usually does not have intelligent space optimization function, and the placement and location of materials are usually fixed, making it difficult to dynamically adjust or optimize according to actual conditions, which may lead to unreasonable storage of materials and affect operational efficiency.

[0004] In addition, the traditional system usually does not have the ability to flexibly adjust the layout of materials according to demand and instructions, so it is difficult to adapt to rapidly changing work environments or emergency needs, which may lead to difficulties in making adjustments in some emergencies. Moreover, it usually does not have the function of real-time binding with three-dimensional geometric models, so it cannot accurately reflect the actual state of materials at each moment like the present application, and the lack of real-time updated visual feedback also makes it difficult for managers to make effective decisions. SUMMARY

[0005] To achieve the above-mentioned purpose, the present application provides the following technical scheme: a global visualization display system for distribution network materials based on Internet of Things technology, comprising: a three-dimensional modeling module for constructing a global three-dimensional coordinate system based on an Internet of Things sensor network, obtaining original position data of distribution network material entities in the global three-dimensional coordinate system, and defining a standard three-dimensional geometric model of the distribution network material entities based on their unique identification codes; an orientation recognition module for collecting multi-view digital images of the distribution network material entities, determining the orientation information of the distribution network material entities in the digital images based on the standard three-dimensional geometric model and image feature recognition algorithm, and obtaining corrected position data of the distribution network material entities in the global three-dimensional coordinate system based on the position of the camera equipment; a position correction module for determining the final position data of the distribution network material entities in the global three-dimensional coordinate system according to the original position data and the corrected position data; The association determining module is configured to obtain initial state data among a plurality of network equipment entities, the plurality of network equipment entities having an association relationship, the association relationship including a supply relationship, a use relationship, and a storage relationship of the equipment; The global display module is configured to display the standard three-dimensional geometric models corresponding to the plurality of network equipment entities in the visual interactive platform according to the initial state data.

[0006] Preferably, after the standard three-dimensional geometric models corresponding to the plurality of network equipment entities are displayed in the visual interactive platform according to the initial state data, the method further comprises: identifying a first network equipment entity from the plurality of network equipment entities, and determining a reference spatial position of the first network equipment entity in the physical space according to the final position data in the global three-dimensional coordinate system; determining a spatial position of a second network equipment entity associated with the first network equipment entity according to the reference spatial position and the association relationship; updating the second network equipment entity to the first network equipment entity, updating the spatial position to the reference spatial position, and repeatedly executing the determining of the spatial position of the second network equipment entity associated with the first network equipment entity according to the reference spatial position and the association relationship until the spatial position of each network equipment entity is determined; determining a relative spatial relationship among the plurality of network equipment entities according to the spatial position of each network equipment entity; generating spatial display parameters of the plurality of network equipment entities according to the relative spatial relationship; performing adaptive adjustment on the spatial position of at least one network equipment entity from the plurality of network equipment entities according to the spatial display parameters, to obtain a target three-dimensional geometric model by updating the standard three-dimensional geometric model.

[0007] Preferably, the global three-dimensional coordinate system is constructed based on an Internet of Things sensing network, and the original position data of the network equipment entity in the global three-dimensional coordinate system is obtained, including: deploying a plurality of Internet of Things sensing units, the Internet of Things sensing units including a main sensing unit, an auxiliary sensing unit, and a reference sensing unit; constructing the global three-dimensional coordinate system, the global three-dimensional coordinate system taking a connecting line of the main sensing unit and the auxiliary sensing unit as a horizontal coordinate axis, taking a straight line passing through the main sensing unit and perpendicular to the horizontal coordinate axis as a vertical coordinate axis, and taking a vertical direction of a plane formed by the main sensing unit, the auxiliary sensing unit, and the reference sensing unit as a height coordinate axis; measuring distances of specific marker points on the network equipment entity by each Internet of Things sensing unit, calculating coordinate values of each specific marker point in the global three-dimensional coordinate system through spatial geometric principles, and calculating the original position data of the center of the network equipment entity in the global three-dimensional coordinate system.

[0008] Preferably, the location information of distribution network material entities in digital images is determined based on standard three-dimensional geometric models and image feature recognition algorithms, including: Digital images of power distribution network materials were captured from different locations using multiple high-definition cameras. Based on the standard three-dimensional geometric model, the outline of the distribution network material entity in the digital image of the distribution network material entity is extracted, the edge features of the distribution network material entity are determined, and the matching area that matches the edge features of the distribution network material entity in the digital image of the distribution network material entity is identified based on the edge features. Generate a standard template image based on a standard 3D geometric model; Based on image feature recognition algorithms, the similarity between the matching region and the standard template image is calculated to find the best region with the highest matching degree in the digital image; The location information of distribution network material entities in the digital image of distribution network material entities is determined based on the optimal region.

[0009] Preferably, the spatial position of at least one distribution network material entity among multiple distribution network material entities is adaptively adjusted according to spatial display parameters to update the standard three-dimensional geometric model to obtain the target three-dimensional geometric model, including: Determine the display time interval for each distribution network material entity; Based on the display time interval and spatial display parameters, the spatial position of at least one distribution network material entity among multiple distribution network material entities is adaptively adjusted to update the standard three-dimensional geometric model and obtain the target three-dimensional geometric model.

[0010] Preferably, the method further includes adaptively adjusting the spatial position of at least one distribution network material entity among multiple distribution network material entities based on spatial display parameters to update the standard three-dimensional geometric model to obtain the target three-dimensional geometric model, and also includes: Obtain user instructions to modify the spatial location of a target distribution network material entity among multiple distribution network material entities; The spatial display parameters are updated based on the spatial location modification command to obtain the updated spatial display parameters; The spatial location of the target distribution network material entity is adaptively adjusted based on the updated spatial display parameters to update the target three-dimensional geometric model and obtain an optimized target three-dimensional geometric model.

[0011] Preferably, obtaining the user's instruction to modify the spatial location of the target distribution network material entity among multiple distribution network material entities includes: Obtain the control commands issued by the user and the corresponding issuance time of the control commands; Based on the issuance time, determine the target distribution network material entity that needs to be displayed in spatial location among multiple distribution network material entities; In response to control commands, the target distribution network material entity is displayed in spatial location.

[0012] Preferably, after determining the final location data of the distribution network material entity in the global three-dimensional coordinate system based on the original location data and the corrected location data, the method further includes: Based on the final location data of the distribution network materials, the three-dimensional geometric models of the distribution network materials are initially arranged in the virtual display environment; Based on the electrical topology and spatial arrangement rules between distribution network material entities, the three-dimensional geometric model of the initially arranged distribution network material entities is optimized to obtain the optimized global visualization scene of distribution network materials. Light and shadow rendering is applied to the optimized global visualization scene of distribution network materials.

[0013] Preferably, after obtaining the initial state data among multiple distribution network material entities, the method further includes: Real-time monitoring of the initial status data of power distribution network materials; The initial state data is bound to the three-dimensional geometric model of the distribution network material entity; In the global visualization scenario of distribution network materials, the visual state of the three-dimensional geometric model of the distribution network material entity is updated in real time based on the operating parameter data.

[0014] The method for global visualization of distribution network materials based on Internet of Things (IoT) technology is applicable to the aforementioned global visualization system for distribution network materials based on IoT technology, including: A global three-dimensional coordinate system is constructed based on the Internet of Things sensor network to obtain the original position data of distribution network material entities in the global three-dimensional coordinate system; based on the unique identification code of the distribution network material entities, a standard three-dimensional geometric model of the distribution network material entities is predefined. Collect multi-view digital images of distribution network material entities, determine the orientation information of distribution network material entities in digital images based on standard three-dimensional geometric models and image feature recognition algorithms, and obtain the corrected position data of distribution network material entities in the global three-dimensional coordinate system based on the position of camera equipment. Based on the original location data and the corrected location data, the final location data of the distribution network material entities in the global three-dimensional coordinate system is determined; Acquire initial status data between multiple distribution network material entities. These entities are related to each other, including supply, usage, and storage relationships. Based on the initial state data, the standard three-dimensional geometric models corresponding to multiple distribution network material entities are displayed in the visualization and interactive platform.

[0015] Compared with the prior art, the beneficial effects of the present invention are: (1) Through the Internet of Things sensor network and multi-view image recognition technology, the system can acquire and update the location and status of distribution network materials in real time, ensuring the accuracy of the location and status data of materials. In particular, during the positioning of distribution network materials, the system can dynamically correct and update according to real-time data, ensuring that the three-dimensional model displayed by the system is highly consistent with the actual material location. Furthermore, through the construction of a global three-dimensional coordinate system, the system can accurately display the positional relationship and relative spatial distribution of all distribution network materials, making material management more intuitive and clear, reducing the risk of human error and material loss, and improving management efficiency. (2) This invention automatically adjusts the position of materials in three-dimensional space through the correlation between materials and adaptively adjusts the spatial display parameters. This spatial optimization not only makes the display of distribution network materials more in line with the actual spatial layout, but also allows for flexible adjustment according to needs and instructions, improving the operability and adaptability of the system. Furthermore, by monitoring the initial state data of materials in real time and binding it with the three-dimensional geometric model, the visual state of distribution network materials is updated in real time. This method can reflect the actual situation of distribution network materials at any time, ensuring that the scene displayed by the system is highly consistent with the actual operating state. In addition, the system can also optimize the spatial layout of materials according to the electrical topology relationship, further enhancing the visualization effect and the practical application value of the system. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the overall system architecture in one embodiment of the present invention; Figure 2 This is a schematic flowchart of the overall method in one embodiment of the present invention.

[0017] The diagram shows: 1. 3D modeling module; 2. Orientation recognition module; 3. Position correction module; 4. Association determination module; 5. Global display module. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1, please refer to Figure 1 This invention provides a technical solution: a global visualization display system for distribution network materials based on Internet of Things (IoT) technology, comprising: 3D modeling module 1 is used to construct a global 3D coordinate system based on the Internet of Things sensor network, obtain the original position data of distribution network material entities in the global 3D coordinate system, and predefine the standard 3D geometric model of the distribution network material entities based on the unique identification code of the distribution network material entities. The orientation recognition module 2 is used to collect multi-view digital images of distribution network material entities, determine the orientation information of distribution network material entities in digital images based on standard three-dimensional geometric models and image feature recognition algorithms, and obtain the corrected position data of distribution network material entities in the global three-dimensional coordinate system based on the position of the camera equipment. Position correction module 3 is used to determine the final position data of the distribution network material entity in the global three-dimensional coordinate system based on the original position data and the corrected position data; The association determination module 4 is used to obtain the initial status data between multiple distribution network material entities. These multiple distribution network material entities have association relationships, including material supply relationships, usage relationships, and storage relationships. The global display module 5 is used to display the standard three-dimensional geometric models corresponding to multiple distribution network material entities in the visualization interaction platform based on the initial state data.

[0020] It should be noted that, based on the Internet of Things (IoT) sensor network, a global three-dimensional coordinate system is constructed to acquire the initial location data of distribution network materials and predefine the standard three-dimensional geometric model of the materials. IoT sensors: By installing sensors on distribution network materials (such as transformers, power switches, lines, etc.), their location data can be acquired in real time. This location data can be converted into three-dimensional coordinates to construct the global coordinate system. Three-dimensional geometric model: Each distribution network material has a unique identifier (ID). The system loads the standard three-dimensional model of the material based on this identifier. For example, a transformer might have a standard cubic shape, while a power switch might be a cylindrical model. Specific example: Suppose there is a high-voltage power transformer in the system with the identifier "TX001". The system will predefine the three-dimensional model of the transformer, such as a standard rectangular box, and acquire the transformer's initial position in physical space (e.g., coordinates X=150, Y=300, Z=20) through sensors. By acquiring multi-view digital images of materials, combining them with a standard 3D geometric model and image feature recognition algorithms, the system determines the material's orientation within the digital images and obtains its corrected position in the global 3D coordinate system based on the camera equipment's location. Digital image acquisition: By installing camera equipment, the system can acquire images of materials from multiple angles (e.g., front, side, top, etc.). Image feature recognition algorithm: The system uses image recognition technology to analyze images based on the material's standard 3D model to identify the material's specific orientation (i.e., its facing direction). For example, by analyzing an image of a transformer, the system can determine its front, back, and side. Orientation correction: Combining the material's orientation information with the camera equipment's location, the system can precisely adjust the material's position in the global 3D coordinate system. Specific example: Suppose a camera captures an image of transformer "TX001" from the side. The image recognition algorithm can detect the transformer's shape and features, determine its orientation, and compare it with its initial position in the global coordinate system, thereby correcting its orientation and position. Based on the original location data and the corrected location data, the final position of the material in the global three-dimensional coordinate system is determined. Original location data: Preliminary location data of the material obtained through sensors or other means, which may contain errors. Corrected location data: Correction data obtained through the orientation recognition module, used to adjust the actual position of the material. Final location data: Combining the original location and the corrected data to determine the final accurate position of the material. Specific example: Suppose the initial position of transformer "TX001" obtained through sensors is coordinates X=150, Y=300, Z=20. However, due to geographic information errors, the camera equipment detects that the transformer's position deviates by 1 meter. After correction, the system finally determines the transformer's actual position to be X=151, Y=300, Z=20. By acquiring the initial status data between distribution network material entities, the relationships between materials are determined, such as supply relationships, usage relationships, and storage relationships. Relationships: There are multiple relationships between materials in the distribution network, such as: Supply relationship: Some materials are provided by suppliers and stored in specific locations; Usage relationship: Some materials have been installed in the distribution network and are in use (such as transformers and switches); Storage relationship: Some materials are still in warehouse storage, awaiting use. The initial status of each material (whether it is in use, stored in a warehouse, or requires maintenance, etc.) will help determine the relationships between materials. Specific examples: Transformer "TX001" is a piece of equipment in use; the system will record its usage status as "installed," and it has a supply relationship with the upstream distribution network cable; another power switch "SW003" may still be in a warehouse; the system will record its status as "stored" and indicate its supplier. A visual interactive platform displays standard 3D geometric models of multiple distribution network materials, helping users view the distribution, status, and related information of these materials in real time. Users can view the 3D models of distribution network materials on the platform, which are based on the actual location, orientation, and status of the materials. Through interaction, users can view detailed information about each material, such as model, status, location, and relationships. The interactive platform supports user interaction with the system; users can rotate, zoom, and click on material models to view detailed information. For example, users can view a 3D map of the entire distribution network through the interface and see that transformer "TX001" is located at X=151, Y=300, Z=20. After clicking on the transformer model, users can view its detailed information, such as its supplier, installation date, and maintenance records.

[0021] In an optional embodiment, after displaying standard three-dimensional geometric models corresponding to multiple distribution network material entities in a visualization interaction platform based on initial state data, the method further includes: The first distribution network material entity is identified among multiple distribution network material entities, and the reference spatial position of the first distribution network material entity in physical space is determined based on the final position data in the global three-dimensional coordinate system. Based on the baseline spatial location and correlation, the spatial location of the second distribution network material entity associated with the first distribution network material entity is determined; The second distribution network material entity is updated to the first distribution network material entity, the spatial location is updated to the reference spatial location, and the process of determining the spatial location of the second distribution network material entity associated with the first distribution network material entity based on the reference spatial location and the association relationship is repeated until the spatial location of each distribution network material entity is determined. The relative spatial relationships between multiple distribution network material entities are determined based on the spatial location of each distribution network material entity. Generate spatial display parameters for multiple distribution network material entities based on their relative spatial relationships; Based on the spatial display parameters, the spatial position of at least one distribution network material entity among multiple distribution network material entities is adaptively adjusted to update the standard three-dimensional geometric model and obtain the target three-dimensional geometric model.

[0022] It should be noted that among multiple distribution network material entities, a reference material (the first distribution network material entity) is identified, and its reference spatial position in physical space is determined based on its final location data. Reference spatial position: A material entity is selected as a reference point, typically a core device of the distribution network, such as a transformer or main control switch. The spatial position of this material will serve as the "reference" position, and the spatial positions of other materials will be determined based on this position. Specific example: Assuming there are multiple material entities in the system, such as transformers, switches, and cables; firstly, the system identifies transformer TX001 as the first distribution network material entity and obtains its final location data (e.g., coordinates X=150, Y=300, Z=20) through IoT sensors. At this point, the position of transformer TX001 is used as the "reference spatial position." Based on the spatial location of the baseline material and the relationships between materials, the location of the second distribution network material entity is determined. Relationships: There are supply, use, and storage relationships between materials, which determine their relative positions. For example, a power switch might be located next to a cable connected to a transformer. Through these relationships, the system can infer the location of the second distribution network material (such as a switch, distribution box, cable, etc.). For example, if the second material is a switch connected to a transformer, the system will determine the switch's location based on the known physical structure and installation specifications. Specific example: Assume transformer TX001 is connected to a power switch SW002, and the switch is 5 meters away from the transformer (along the cable direction). Based on the relationships between materials, the system calculates the coordinates of switch SW002 as (X=155, Y=300, Z=20) based on the coordinates of transformer TX001 (X=150, Y=300, Z=20) and the physical relationships. The second distribution network material entity is updated to match the first distribution network material entity, and its spatial location is updated. Once the location of the second material is determined, the system updates the spatial location data of the material to keep it consistent with the reference spatial location of the first material. For example, the coordinates of transformer TX001 are (X=150, Y=300, Z=20), and the coordinates of switch SW002 are determined to be (X=155, Y=300, Z=20). At this time, the system will update the location data of switch SW002 to ensure that its position in the virtual three-dimensional space is accurate. Through continuous iteration, the spatial location of all distribution network material entities is determined based on the spatial location of each material and its relationship with other materials. The system performs similar calculations and location updates for each material entity until the spatial locations of all materials are determined. For example, if the third material is a distribution box that has a usage relationship with switch SW002, the system will further calculate the location of the distribution box. Specifically, if distribution box PC003 is connected to switch SW002 and is 5 meters away from the switch, the system calculates the location of the distribution box as (X=160, Y=300, Z=20) based on this relationship. Then, the system updates the spatial location data of the distribution box and continues to the next step. Based on the spatial location of the material entities, their relative spatial relationships are determined, i.e., their relative positional relationships. Relative spatial relationships refer to the distance and direction relationships between various material entities; for example, the distance between a transformer and a switch, the connection direction between a switch and a distribution box, etc. Through these relationships, the system can accurately determine the spatial layout of the materials. For example, the system calculates the relative positions of each material, such as the distance between transformer TX001 and switch SW002 being 5 meters, and the distance between switch SW002 and distribution box PC003 being 5 meters. This data helps generate the spatial layout of the materials. Based on the relative spatial relationships, the system generates… Spatial display parameters for distribution network materials are used to accurately display their layout on the visualization platform. Spatial display parameters refer to the parameters used to display material entities on the visualization platform, including the coordinates, orientation, and shape of the materials. For example, the coordinates of transformer TX001 (X=150, Y=300, Z=20) and switch SW002 (X=155, Y=300, Z=20) constitute the spatial display parameters. Specific example: Through the above calculations, the system generates spatial display parameters for each material, such as the position and relative distance parameters of transformer TX001, switch SW002, and distribution box PC003. Based on the spatial display parameters, the system will adaptively adjust the spatial position of at least one distribution network material entity and update the standard 3D geometric model to generate the target 3D geometric model. If the position of the material changes due to spatial layout or other factors, the system can automatically adjust the position of the material in 3D space. For example, if the actual installation position of switch SW002 is offset by 1 meter, the system will adjust its position in virtual space. Update the 3D geometric model: Based on the adaptively adjusted material position, update its 3D geometric model to ensure that the material position in the virtual display is consistent with the actual position. Specific example: Suppose that the actual position of switch SW002 is offset for some reason, the system will automatically adjust the spatial position of switch SW002 (for example, adjust the coordinates from X=155 to X=156) and update its 3D model so that it reflects the latest spatial position in the visualization interface.

[0023] In one optional embodiment, a global three-dimensional coordinate system is constructed based on an Internet of Things (IoT) sensor network to obtain the original location data of distribution network material entities within the global three-dimensional coordinate system, including: Multiple IoT sensing units are deployed, including a main sensing unit, an auxiliary sensing unit, and a reference sensing unit; A global three-dimensional coordinate system is constructed. The global three-dimensional coordinate system uses the connection line between the main sensing unit and the auxiliary sensing unit as the horizontal coordinate axis, the straight line passing through the main sensing unit and perpendicular to the horizontal coordinate axis as the vertical coordinate axis, and the vertical direction of the plane formed by the main sensing unit, the auxiliary sensing unit, and the reference sensing unit as the height coordinate axis. The distance to specific marker points on the distribution network material entity is measured by each IoT sensor unit. The coordinates of each specific marker point in the global three-dimensional coordinate system are calculated using spatial geometry principles. The original position data of the center of the distribution network material entity in the global three-dimensional coordinate system is also calculated.

[0024] It should be noted that IoT sensing units are divided into three types: main sensing unit: serving as a reference point for the coordinate system; auxiliary sensing unit: used to assist in positioning and provide additional measurement data; reference sensing unit: used to provide height information or further spatial reference. For example, suppose in a power distribution network, the position of a transformer needs to be tracked; three sensing units are installed on the transformer: the main sensing unit is installed in the center of the transformer as a reference point; the auxiliary sensing unit is installed on the edge of the transformer to provide additional position data relative to the main sensing unit; and the reference sensing unit is installed above the transformer to measure the height of the object. The horizontal coordinate axis (X-axis) is defined by the connecting line between the main sensing unit and the auxiliary sensing unit; the vertical coordinate axis (Y-axis) is defined by a straight line perpendicular to the horizontal coordinate axis, passing through the main sensing unit; the height coordinate axis (Z-axis) is defined by the plane between the reference sensing unit and the main sensing unit, and the direction perpendicular to that plane. A specific example: Sensors installed on a transformer provide measurements in different directions: the main sensing unit is located at the center of the transformer, assumed to be at (0,0,0); the auxiliary sensing unit is installed on one side of the transformer, assumed to be 5 meters away, i.e., (5,0,0); the reference sensing unit is installed above the transformer, assumed to be at (0,0,3). Through these installation positions, the system determines three coordinate axes: the X-axis, Y-axis, and Z-axis, forming a three-dimensional coordinate system. Specific marker points are selected on each material entity; these marker points represent key locations on the entity. Each sensing unit acquires distance data by measuring the distance from the marker point to the sensing unit. For example, suppose a transformer has a marker point located at a specific position on its top. Using IoT sensors, the distances from this marker point to the main sensing unit, auxiliary sensing unit, and reference sensing unit can be measured. For instance, the distance from the main sensing unit to the marker point is 3 meters; the distance from the auxiliary sensing unit to the marker point is 4 meters; and the distance from the reference sensing unit to the marker point is 2 meters. Using spatial geometry principles, and through known distance data and the material... By understanding the positional relationships, the three-dimensional coordinates of the marker point can be calculated. For example, using triangulation, by measuring the distances from two known locations (such as the main sensing unit and the auxiliary sensing unit) to the marker point, the specific position of the marker point in three-dimensional space can be deduced. A specific example: assuming the position of the main sensing unit is (0,0,0), the position of the auxiliary sensing unit is (5,0,0), and the position of the reference sensing unit is (0,0,3), and the distances from the marker point to these sensing units have been measured; the three-dimensional coordinates of the marker point can then be calculated using geometric methods. For example, assuming the final calculated coordinates of the marker point are (3,4,2). The center position of the distribution network material entity: Based on the coordinates of each marker point, combined with the shape and structure of the material, the coordinates of the material center are calculated; for example, the center position of the transformer can be calculated by weighted averaging of the marker point coordinates or other methods; specific example: if the transformer has multiple marker points (e.g., upper, lower and middle marker points), the center position is calculated by averaging the positions of these marker points, assuming it is (2.5, 2.0, 1.5).

[0025] In an optional embodiment, determining the location information of distribution network material entities in a digital image based on a standard three-dimensional geometric model and image feature recognition algorithm includes: Digital images of power distribution network materials were captured from different locations using multiple high-definition cameras. Based on the standard three-dimensional geometric model, the outline of the distribution network material entity in the digital image of the distribution network material entity is extracted, the edge features of the distribution network material entity are determined, and the matching area that matches the edge features of the distribution network material entity in the digital image of the distribution network material entity is identified based on the edge features. Generate a standard template image based on a standard 3D geometric model; Based on image feature recognition algorithms, the similarity between the matching region and the standard template image is calculated to find the best region with the highest matching degree in the digital image; The location information of distribution network material entities in the digital image of distribution network material entities is determined based on the optimal region.

[0026] It should be noted that, in order to obtain more accurate location information of distribution network materials, multiple high-definition cameras are needed to capture images from different angles. These cameras can capture images of the distribution network materials from different directions (e.g., front, side, top). For example, suppose there is a transformer, which is an important material in the distribution network. To accurately obtain the transformer's position and orientation in space, three high-definition cameras are installed: one camera faces the front of the transformer; one camera is located on the side of the transformer; and one camera looks down at the transformer from above. These cameras capture images simultaneously, generating multi-angle digital images for subsequent processing. Standard 3D Geometric Model: Distribution network material entities have a standard geometric shape (e.g., the shape of a transformer), which can be used to assist in analyzing the contours in an image; Edge Feature Extraction: Through image processing techniques, edge features in the image are analyzed and extracted; these edge features represent the outline of the distribution network material entity, such as the outline of the object, corner points, etc.; Specific Example: In a digital image of a transformer, edge detection algorithms (such as Canny edge detection) are used to extract the outer edges of the transformer; for example, an image taken from the front by a camera may show the rectangular outline of the transformer, and the edge features could be the four corners and long side lines of the transformer; Standard template image: Based on the standard three-dimensional geometric model of the distribution network material entity, a standard two-dimensional template image is generated to represent the standard shape of the material entity. This template image is an ideal perspective projection image of the distribution network material entity without any external interference. Specific example: For a transformer, assuming that its standard three-dimensional geometric model is a cuboid, when generating the standard template image, the shape of the transformer can be drawn from the front view. This graphic shows the standard shape, proportions and outline of the transformer. Image feature recognition algorithms: These algorithms (such as SIFT, SURF, ORB, etc.) identify and match regions similar to a standard template image from acquired digital images; by calculating the similarity between each matching region in the image and the standard template image, the best matching region is found; Similarity calculation: Typically, some metrics (such as Euclidean distance, correlation calculation) are used to evaluate the matching degree of the images; Specific example: Suppose that the image of a transformer taken from a frontal view has some deviation from the standard template image (e.g., the angle is slightly different); using an image feature recognition algorithm, the extracted outline of the transformer is matched with the standard template image; through calculation, the algorithm will find the region most similar to the standard template, for example, identifying the best matching position of the transformer's frontal outline; Based on the best-matched region, the orientation information of the distribution network material entity in the image can be determined. This includes the position of the material entity relative to the camera equipment (e.g., the angle of deviation from direct front, rotation angle, etc.). Geometric transformations can be used to calculate the angle and direction of the material entity. For example, through algorithm calculation, the system may find that the best-matched region of the transformer is located in the center of the image, 10 degrees away from the standard template image. This indicates that the transformer is slightly deflected in the image (e.g., it may be slightly rotated by 5 degrees). Based on this result, the orientation information of the transformer can be inferred, and its actual position in space can be determined.

[0027] In an optional embodiment, the spatial position of at least one of the multiple distribution network material entities is adaptively adjusted according to spatial display parameters to update the standard three-dimensional geometric model to obtain the target three-dimensional geometric model, including: Determine the display time interval for each distribution network material entity; Based on the display time interval and spatial display parameters, the spatial position of at least one distribution network material entity among multiple distribution network material entities is adaptively adjusted to update the standard three-dimensional geometric model and obtain the target three-dimensional geometric model.

[0028] It should be noted that, firstly, a display time interval needs to be determined for each distribution network material entity. The display time interval refers to the location or status of the distribution network material entity in space within a certain period. For example, some distribution network material entities may be in different locations at different times, or display different statuses at different times according to maintenance plans and operational needs. A specific example: suppose transformers and switchgear in a distribution network need to be maintained or monitored at different times. For instance, transformers may be inspected and tested between 8:00 AM and 10:00 AM, while switchgear may be overhauled between 2:00 PM and 4:00 PM. In this example, the display time intervals for transformers and switchgear are: transformer display time interval: 8:00 AM to 10:00 AM; switchgear display time interval: 2:00 PM to 4:00 PM. These time intervals can be pre-set in the entire system to prepare for subsequent spatial display. Based on the previously determined display time interval and related spatial display parameters, adjust the spatial position of the distribution network materials. Spatial display parameters may include the display angle, distance, and positional offset of the materials, aiming to ensure the spatial position of the materials conforms to actual operation and maintenance needs. The goal of adaptive adjustment is to dynamically adjust the position of the distribution network materials in three-dimensional space according to the specific time interval, thereby updating the standard three-dimensional geometric model and obtaining a target three-dimensional geometric model that reflects the position and state of the materials within a specific time interval. For example: Suppose that during the transformer's display time interval (8:00 AM to 10:00 AM), due to the needs of maintenance personnel, the transformer needs to be... The transformer is initially displayed at a 15-degree angle, slightly off-center. The system automatically adjusts its position based on this time frame, updating the 3D model so that the transformer's position between 8 AM and 10 AM is slightly offset to the right and tilted 15 degrees. During the display period for the switchgear (2 PM to 4 PM), it may need to be rotated to allow maintenance personnel to observe its internal mechanisms. The system automatically adjusts the switchgear's position accordingly: the switchgear between 2 PM and 4 PM is rotated 90 degrees. Therefore, as the display time changes, the 3D geometric models of the transformer and switch are updated, presenting different spatial positions and angles. Finally, the system updates the standard 3D geometric model based on the adaptively adjusted spatial location and time interval, generating the target 3D geometric model. The target 3D geometric model is a 3D model that takes into account the actual display status and position of the material entities after time and space changes. For example, through the system's automatic adjustment, the final generated target 3D geometric model will include the adjusted positions of transformers and switchgear at different time periods. For example, between 8:00 AM and 10:00 AM, the transformer will be displayed as slightly offset to the right and tilted by 15 degrees; between 2:00 PM and 4:00 PM, the switchgear will be displayed as rotated 90 degrees. These positional changes will update the target 3D geometric model, ensuring that the display status of all distribution network material entities conforms to actual operation and maintenance requirements.

[0029] In an optional embodiment, the spatial position of at least one of the multiple distribution network material entities is adaptively adjusted according to spatial display parameters to update the standard three-dimensional geometric model to obtain the target three-dimensional geometric model, and the method further includes: Obtain user instructions to modify the spatial location of a target distribution network material entity among multiple distribution network material entities; The spatial display parameters are updated based on the spatial location modification command to obtain the updated spatial display parameters; The spatial location of the target distribution network material entity is adaptively adjusted based on the updated spatial display parameters to update the target three-dimensional geometric model and obtain an optimized target three-dimensional geometric model.

[0030] It should be noted that users can actively modify the position of target distribution network material entities. For example, users may specify the spatial position of a certain material (such as offset or rotation angle) based on actual operational needs or equipment inspection requirements, thereby adjusting the position of that material entity in the model. For instance, suppose a power distribution network model displays multiple distribution network material entities, such as transformers, switches, and distribution boxes. Users may want to modify the spatial position of a specific distribution network material entity (such as a transformer). For example, a user might want to move the transformer 10 meters to the right from its current position and rotate it 30 degrees for better equipment maintenance. In this case, the user provides the spatial position modification command through the interface: Spatial position modification command: Move the transformer 10 meters to the right and rotate it 30 degrees. Upon receiving modification instructions from the user, the system needs to update the spatial display parameters accordingly. Spatial display parameters define the position, rotation angle, offset, and other information of a material entity in three-dimensional space. The updated spatial display parameters will reflect the user's modifications. For example, suppose the transformer's initial display position is (0,0,0) and it is not currently rotated. The user's modification instructions are: Move 10 meters to the right: This means the transformer's x-coordinate should increase by 10 meters, updating to (10,0,0); Rotate 30 degrees: The rotation angle needs to be applied to the transformer's current direction, possibly rotating around the Z-axis, with a new rotation angle of 30 degrees. Therefore, the system will update the transformer's spatial display parameters, changing its position from (0,0,0) to (10,0,0) and the rotation angle to 30 degrees. After obtaining the updated spatial display parameters, the system will adaptively adjust the spatial position of the target distribution network material entity (such as a transformer) based on these new parameters. The goal of this step is to ensure that the display position, angle, etc. of the target distribution network material entity (transformer) in the 3D geometric model are consistent with the new spatial display parameters. For example, according to the user's modification instructions, the spatial display parameters of the transformer have been updated as follows: Position: The transformer position is updated to (10,0,0); Rotation angle: The transformer rotation angle is updated to 30 degrees. At this time, the system will update the spatial position and angle of the transformer in the standard 3D geometric model according to the new spatial display parameters. That is, the transformer in the 3D geometric model will be moved to the new position (10,0,0) and rotated by an angle of 30 degrees. Finally, the system adjusts the spatial position of the target distribution network material entities according to the updated spatial display parameters, resulting in an optimized target 3D geometric model. This optimized model reflects the actual spatial position and angle of the distribution network material entities modified by the user. For example, following the steps above, the spatial position of the transformer has been updated. In the new target 3D geometric model, the transformer will be displayed at position (10,0,0) and rotated 30 degrees. The positions of other distribution network material entities (such as switches, distribution boxes, etc.) remain unchanged if they have not been modified. Ultimately, the generated optimized target 3D geometric model contains the accurate position and status of all distribution network material entities in space, especially the transformer, whose spatial position and angle have been adjusted according to the user's modification instructions.

[0031] In an optional embodiment, obtaining a user's instruction to modify the spatial location of a target distribution network material entity among multiple distribution network material entities includes: Obtain the control commands issued by the user and the corresponding issuance time of the control commands; Based on the issuance time, determine the target distribution network material entity that needs to be displayed in spatial location among multiple distribution network material entities; In response to control commands, the target distribution network material entity is displayed in spatial location.

[0032] It should be noted that the system acquires the control commands issued by the user and the time of issuance. Users can issue control commands through some kind of interface (such as a visual interface, command input interface, etc.). Control commands may involve spatial adjustments to material entities (such as translation, rotation, etc.). Each control command also has an associated time point, which the system records. For example, suppose a user issues a control command through a visual interface, requesting that a transformer (a distribution network material entity) be moved 10 meters to the right and rotated 30 degrees. This command modifies the spatial position of the transformer. Control command: Move the transformer 10 meters to the right and rotate 30 degrees. Issuance time: The user issued the command on November 18, 2025, specifically at 10:30 AM. The system will then record this control command and its issuance time. Based on the time of the control command issuance, the system identifies the target entity whose display location needs modification among multiple distribution network material entities. Typically, a distribution network material entity may consist of multiple devices (such as transformers, switches, distribution boxes, etc.), and each device has a timestamp or task time. The system uses these timestamps to determine which material entity needs modification. For example, suppose there are multiple distribution network material entities in the system, including: Transformer A, located at (0,0,0), with a timestamp of November 18, 2025, 10:00; Transformer B, located at (20,0,0), with a timestamp of November 18, 2025, 10:15; and Switch C, located at (10,10,0), with a timestamp of November 18, 2025, 10:30. A user issues a command at 10:30 targeting Transformer A (the timestamp matches the command time). The system uses the command issuance time (November 18, 2025, 10:30) to identify the target material entity, Transformer A, among all material entities. The system responds to user commands and adjusts the spatial position of target material entities. Based on the control commands, the system modifies the position or rotation angle of the target material entity and updates its display in three-dimensional space. For example, according to a user command, the spatial position of transformer A is adjusted: Spatial position modification command: Move transformer A 10 meters to the right and rotate it 30 degrees; Initial position: Transformer A is at (0,0,0); Modified position: The new position of transformer A is (10,0,0), and the rotation angle is 30 degrees. The system updates transformer A in three-dimensional space according to these commands, adjusting its position and angle. The graphical display of transformer A will be updated to the new position (10,0,0) and displayed according to the 30-degree rotation angle.

[0033] In an optional embodiment, after determining the final location data of the distribution network material entity in the global three-dimensional coordinate system based on the original location data and the corrected location data, the method further includes: Based on the final location data of the distribution network materials, the three-dimensional geometric models of the distribution network materials are initially arranged in the virtual display environment; Based on the electrical topology and spatial arrangement rules between distribution network material entities, the three-dimensional geometric model of the initially arranged distribution network material entities is optimized to obtain the optimized global visualization scene of distribution network materials. Light and shadow rendering is applied to the optimized global visualization scene of distribution network materials.

[0034] It should be noted that, based on the final location data of distribution network materials (such as transformers, switches, distribution boxes, etc.), they are initially arranged in three-dimensional space. This initial arrangement is based on the spatial coordinates of each distribution network material, simply displaying their positions in the virtual environment. For example, suppose there are three distribution network materials in a distribution network: Transformer A: final location (10,5,0), Switch B: final location (15,5,0), and Distribution Box C: final location (20,5,0). The initial arrangement process will display the three-dimensional spatial positions of these three materials in the virtual environment according to these coordinates; Transformer A is located at coordinates (10,5,0), Switch B is located at coordinates (15,5,0), and Distribution Box C is located at coordinates (20,5,0). In the virtual display environment, the system will display the geometric models of the material entities according to these coordinates, such as cylindrical transformers, rectangular switches, etc. The initial layout is optimized based on electrical topology and spatial arrangement rules. Electrical topology refers to the power connections and interdependencies between distribution network components. Spatial arrangement rules may include spacing requirements between components and safe distances between electrical equipment. For example, continuing with transformer A, switch B, and distribution box C, they may have electrical connections: transformer A is connected to switch B, and switch B is connected to distribution box C. During layout optimization, the system needs to consider: safe distance: a certain distance may be required between transformer A and switch B to avoid electrical faults; efficiency of electrical connections: switch B should be as close as possible to transformer A for easy control and maintenance; space availability: distribution box C should be placed in a location that does not interfere with the operation of other equipment. Therefore, after optimization, the possible layout is: transformer A remains at position (10,5,0), but switch B may be moved to (12,5,0) to be closer to the transformer; distribution box C may be moved to (18,5,0) to increase the spacing between devices and optimize electrical connections. After optimizing the layout, the next step is to perform lighting and shadow rendering on the 3D scene to increase realism. This process simulates physical properties such as light sources, shadows, and reflections, making the scene look more realistic and three-dimensional, and helping users understand the layout of the equipment in 3D space. For example, after the layout optimization, the physical locations of the distribution network materials are determined, but in the virtual display environment, the following rendering processes are still required: Light source settings: The system can simulate the location of light sources, such as setting a sunlight source or multiple virtual lights to illuminate the equipment in the scene; Shadow effects: Based on the location of the light sources and the geometry of the material entities, the system will generate shadows, making the projection of the equipment in 3D space more realistic; Materials and textures: For example, transformer A might use a metal texture, and switch B might use a plastic texture; the rendering process can add reflection and gloss effects to these materials; Environmental influences: For example, the system can simulate a scene with smog or overcast skies, affecting the intensity of light and the softness of shadows. After rendering, the final virtual display scene might look like this: transformer A casts a clear shadow in the sunlight, the surface of switch B reflects light, and the distribution box C has some soft halo effects around it.

[0035] In an optional embodiment, after obtaining the initial state data among multiple distribution network material entities, the method further includes: Real-time monitoring of the initial status data of power distribution network materials; The initial state data is bound to the three-dimensional geometric model of the distribution network material entity; In the global visualization scenario of distribution network materials, the visual state of the three-dimensional geometric model of the distribution network material entity is updated in real time based on the operating parameter data.

[0036] It should be noted that the status information of distribution network materials is acquired in real time. This initial status data typically includes the operating status of equipment (such as the on / off status of switches, the load status of transformers, and the current and voltage of distribution boxes). This information is collected and transmitted to the system in real time for subsequent updates and analysis. For example, suppose there are three distribution network materials: Transformer A: initial status is 50% load and 60°C; Switch B: initial status is closed and current is 0A; Distribution box C: initial status is 220V and current is 5A. This initial status information is acquired through sensors or remote monitoring systems and displayed in the real-time monitoring system. The collected initial state data is bound to the corresponding 3D geometric model; that is, the physical state of each distribution network material entity is associated with its representation in the 3D virtual environment. Through this binding, the visual state of the 3D model (such as color, shape, animation, etc.) can reflect its actual operating status. For example, continuing with the above distribution network material entity: the initial state of transformer A is 50% load and 60°C temperature; therefore, the system will bind a variable to control the transformer's color or animation effect. For example, when the load reaches a certain percentage, the transformer's color turns red as a warning; when the temperature is too high, the transformer... The transformer may display an overheating-like animation effect; switch B is initially in the off state with a current of 0A; therefore, the 3D model of the switch will be displayed as "off," possibly as a gray model, and will not display any current flow animation; the voltage of distribution box C is 220V, and the current is 5A; the 3D model of the distribution box will be displayed as being in normal operation, possibly as green or another normal state color, and the transmission of electricity can be represented by current flow animation; the purpose of this data binding is to ensure that the state of each material entity in the virtual scene is visually consistent with its actual operating state; The 3D geometric model of distribution network materials can be updated in real time according to changes in parameters during actual operation. As the operating status of distribution network materials changes (e.g., load, temperature, current, voltage, etc.), the model in the virtual environment will be dynamically updated to accurately reflect the current status of the equipment. For example, continuing with transformer A, switch B, and distribution box C: Transformer A: Assume the transformer's load increases to 80% and the temperature rises to 90°C over a period of time. In the virtual environment, the transformer's color may change from yellow to red, indicating an overload warning, or an overheating animation effect (such as smoke or flashing). Switch B: Assume the state of switch B changes from closed to open, and current begins to flow. The switch model will dynamically change color (from gray to green) and display an animation of current flow. Distribution box C: Assume the current increases from 5A to 10A, and the voltage stabilizes at 220V. The 3D model of the distribution box may become brighter as the current increases, and the color may change from green to yellow, indicating an increased load.

[0037] Example 2, please refer to Figure 2 This invention provides a technical solution: a method for global visualization of distribution network materials based on Internet of Things (IoT) technology, applicable to the aforementioned global visualization system for distribution network materials based on IoT technology, comprising: S1. Construct a global three-dimensional coordinate system based on the Internet of Things sensor network to obtain the original position data of distribution network material entities in the global three-dimensional coordinate system; based on the unique identification code of the distribution network material entities, predefine the standard three-dimensional geometric model of the distribution network material entities; S2. Collect multi-view digital images of distribution network material entities, determine the orientation information of distribution network material entities in digital images based on standard three-dimensional geometric models and image feature recognition algorithms, and obtain the corrected position data of distribution network material entities in the global three-dimensional coordinate system based on the camera equipment position. S3. Based on the original location data and the corrected location data, determine the final location data of the distribution network material entities in the global three-dimensional coordinate system; S4. Obtain initial status data between multiple distribution network material entities. These entities are related to each other, including supply, usage, and storage relationships. S5. Display the standard three-dimensional geometric models corresponding to multiple distribution network material entities in the visualization and interactive platform based on the initial state data.

[0038] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A global visualization display system for network materials based on Internet of Things technology, characterized in that, The method comprises the following steps: a three-dimensional modeling module is used to build a global three-dimensional coordinate system based on an Internet of Things sensing network, and to obtain original position data of power distribution material entities in the global three-dimensional coordinate system; a standard three-dimensional geometric model of the power distribution material entities is defined in advance based on unique identification codes of the power distribution material entities; an orientation identification module is used to collect multi-view digital images of the power distribution material entities, to determine orientation information of the power distribution material entities in the digital images based on the standard three-dimensional geometric model and an image feature recognition algorithm, and to obtain corrected position data of the power distribution material entities in the global three-dimensional coordinate system based on the position of a camera device; a position correction module is used to determine final position data of the power distribution material entities in the global three-dimensional coordinate system according to the original position data and the corrected position data; an association determination module is used to obtain initial state data among a plurality of power distribution material entities, the plurality of power distribution material entities having an association relationship, the association relationship including a supply relationship, a use relationship and a storage relationship of the material; a global display module is used to display the standard three-dimensional geometric models corresponding to the plurality of power distribution material entities in a visual interactive platform according to the initial state data. 2.The Internet of Things technology-based global visualization display system for networked materials according to claim 1, wherein, After the standard three-dimensional geometric models corresponding to the plurality of power distribution material entities are displayed in the visual interactive platform according to the initial state data, the method further comprises the following steps: a first power distribution material entity is identified from the plurality of power distribution material entities, and a reference spatial position of the first power distribution material entity in a physical space is determined according to the final position data in the global three-dimensional coordinate system; a spatial position of a second power distribution material entity associated with the first power distribution material entity is determined according to the reference spatial position and the association relationship; the second power distribution material entity is updated to the first power distribution material entity, the spatial position is updated to the reference spatial position, and the spatial position of the second power distribution material entity associated with the first power distribution material entity is repeatedly determined according to the reference spatial position and the association relationship until the spatial position of each power distribution material entity is determined; a relative spatial relationship among the plurality of power distribution material entities is determined according to the spatial position of each power distribution material entity; spatial display parameters of the plurality of power distribution material entities are generated according to the relative spatial relationship; a spatial position of at least one power distribution material entity from the plurality of power distribution material entities is adaptively adjusted according to the spatial display parameters, so as to obtain a target three-dimensional geometric model by updating the standard three-dimensional geometric model. 3.The global visualization display system of networked materials based on Internet of Things technology according to claim 2, characterized in that, The global three-dimensional coordinate system is built based on the Internet of Things sensing network, and the original position data of the power distribution material entities in the global three-dimensional coordinate system is obtained, comprising the following steps: a plurality of Internet of Things sensing units are deployed, the Internet of Things sensing units including a main sensing unit, an auxiliary sensing unit and a reference sensing unit; the global three-dimensional coordinate system is built, the global three-dimensional coordinate system taking a connecting line of the main sensing unit and the auxiliary sensing unit as a horizontal coordinate axis, taking a straight line passing through the main sensing unit and being perpendicular to the horizontal coordinate axis as a vertical coordinate axis, and taking a vertical direction of a plane formed by the main sensing unit, the auxiliary sensing unit and the reference sensing unit as a height coordinate axis; The distance of each specific mark point on the distribution network material entity is measured by each Internet of Things sensing unit respectively, and the coordinate value of each specific mark point in the global three-dimensional coordinate system is calculated through spatial geometric principle, and the original position data of the center of the distribution network material entity in the global three-dimensional coordinate system is calculated. 4.The global visualization display system of networked materials based on Internet of Things technology according to claim 3, characterized in that, The orientation information of the distribution network material entity in the digital image is determined based on the standard three-dimensional geometric model and the image feature recognition algorithm, including: The digital image of the distribution network material entity is collected from different directions by multiple high-definition camera devices; According to the standard three-dimensional geometric model, the contour of the distribution network material entity in the digital image of the distribution network material entity is extracted, the edge features of the contour of the distribution network material entity are determined, and the matching area corresponding to the edge features of the contour of the distribution network material entity in the digital image of the distribution network material entity is recognized based on the edge features; According to the standard three-dimensional geometric model, a standard template image is generated; Based on the image feature recognition algorithm, the similarity between the matching area and the standard template image is calculated, and the best area with the highest matching degree in the digital image is found; The orientation information of the distribution network material entity in the digital image of the distribution network material entity is determined based on the best area. 5.The Internet of Things technology-based global visualization display system for networked materials according to claim 4, wherein, The spatial position of at least one of the plurality of distribution network material entities is adaptively adjusted according to the spatial display parameters, so as to update the standard three-dimensional geometric model to obtain a target three-dimensional geometric model, including: Determine the display time interval corresponding to each distribution network material entity; The spatial position of at least one of the plurality of distribution network material entities is adaptively adjusted according to the display time interval and the spatial display parameters, so as to update the standard three-dimensional geometric model to obtain a target three-dimensional geometric model. 6.The Internet of Things technology-based networked materials global visualization display system according to claim 5, characterized in that, The spatial position of at least one of the plurality of distribution network material entities is adaptively adjusted according to the spatial display parameters, so as to update the standard three-dimensional geometric model to obtain a target three-dimensional geometric model, further including: Obtain the user's spatial position modification instruction for the target distribution network material entity in the plurality of distribution network material entities; Update the spatial display parameters according to the spatial position modification instruction to obtain updated spatial display parameters; The spatial position of the target distribution network material entity is adaptively adjusted according to the updated spatial display parameters, so as to update the target three-dimensional geometric model to obtain an optimized target three-dimensional geometric model. 7.The Internet of Things technology-based networked materials global visualization display system according to claim 6, characterized in that, Obtaining the user's spatial position modification instruction for the target distribution network material entity in the plurality of distribution network material entities, including: Obtain the control command issued by the user and the time point corresponding to the control command; According to the time point, determine the target distribution network material entity that needs to be displayed in the spatial position in the plurality of distribution network material entities; In response to the control command, display the target distribution network material entity in the spatial position. 8.The IoT-based network material global visualization display system according to claim 7, wherein, After determining the final position data of the distribution network material entity in the global three-dimensional coordinate system according to the original position data and the corrected position data, further including: According to the final position data of the distribution network material entity, preliminarily arrange the three-dimensional geometric model of the distribution network material entity in the virtual display environment; Based on the electrical topology relationship and the spatial arrangement rule between the distribution network material entities, the preliminarily arranged three-dimensional geometric model of the distribution network material entity is optimized and laid out to obtain an optimized distribution network material global visualization scene; Optimized distribution network material global visualization scene is rendered with light and shadow. 9.The Internet of Things technology-based networked materials global visualization display system according to claim 8, characterized in that, After obtaining the initial state data between the plurality of distribution network material entities, further comprising: Real-time monitoring of the initial state data of the distribution network material entity; Data binding of the initial state data and the three-dimensional geometric model of the distribution network material entity; In the distribution network material global visualization scene, the visual state of the three-dimensional geometric model of the distribution network material entity is updated in real time according to the running parameter data.

10. The method for globally visualizing and displaying distribution network materials based on Internet of Things technology is applicable to the globally visualizing and displaying system for distribution network materials based on Internet of Things technology as claimed in any one of claims 1-9, characterized in that, Comprise: Based on the Internet of Things sensor network to build a global three-dimensional coordinate system, obtain the original position data of the distribution network material entity in the global three-dimensional coordinate system; Based on the unique identification code of the distribution network material entity, the standard three-dimensional geometric model of the distribution network material entity is defined in advance; Collect multi-angle digital images of distribution network material entities, determine the orientation information of distribution network material entities in digital images based on standard three-dimensional geometric models and image feature recognition algorithms, and obtain corrected position data of distribution network material entities in global three-dimensional coordinate system based on camera position; According to the original position data and the corrected position data, the final position data of the distribution network material entity in the global three-dimensional coordinate system is determined; Obtain the initial state data between the plurality of distribution network material entities, the plurality of distribution network material entities have a correlation relationship, the correlation relationship includes the supply relationship, the use relationship and the storage relationship of the material; According to the initial state data, the standard three-dimensional geometric model corresponding to the plurality of distribution network material entities is displayed in the visualization interaction platform.

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