Electricity / carbon display method and device for three-dimensional geographic information and computer equipment

Abstract

The invention relates to an electric carbon display method and device for three-dimensional geographic information and computer equipment. The method comprises the following steps: acquiring geographic space data and electricity and carbon data corresponding to a target geographic area; pre-processing the geographic space data to obtain pre-processed geographic space data, and pre-processing the electricity and carbon data to obtain pre-processed electricity and carbon data; carrying out fusion processing on the preprocessed geographic space data and the preprocessed electric carbon data to obtain fused three-dimensional space data; and in the three-dimensional map, loading the three-dimensional space data to display the electric carbon data. By adopting the method, the readability of electrical carbon data can be improved.

Description

Technical Field

[0001] The present application relates to the field of computer technologies, and particularly to a method, device, computer equipment, computer-readable storage medium, and computer program product for electro-carbon display of three-dimensional geographic information. Background Art

[0002] In urban energy analysis and carbon emission assessment, it is often necessary to process geospatial data and operating indicators such as electricity and carbon emissions simultaneously. These data often have complex sources and different structures, including both spatial information with geolocation attributes and electricity consumption and carbon emission data statistically calculated by time or per unit building. In the prior art, different types of data are usually displayed separately in forms such as charts, reports, and lists, lacking a unified spatial organization method, making it impossible to establish a clear correspondence between electro-carbon data and the geographical objects they are located in. In addition, such static display methods also cannot provide intuitive feedback for regional or building objects, and users need to rely on manual comparison or external materials to complete positioning and correlation analysis. With the increase in data volume and complexity, such display methods are difficult to meet the requirements of multi-source data integration for space, resulting in users' difficulty in intuitively understanding the regions or objects to which the data belongs, and the overall readability is poor. Summary of the Invention

[0003] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium, and computer program product for electro-carbon display of three-dimensional geographic information that can improve the readability of electro-carbon data in view of the above technical problems.

[0004] In a first aspect, the present application provides a method for electro-carbon display of three-dimensional geographic information, including:

[0005] Obtaining geospatial data and electro-carbon data corresponding to a target geographic area;

[0006] Preprocessing the geospatial data to obtain preprocessed geospatial data, and preprocessing the electro-carbon data to obtain preprocessed electro-carbon data;

[0007] Fusing the preprocessed geospatial data with the preprocessed electro-carbon data to obtain fused three-dimensional spatial data;

[0008] Loading the three-dimensional spatial data in a three-dimensional map to display the electro-carbon data.

[0009] In one embodiment, the preprocessing the geospatial data to obtain preprocessed geospatial data includes:

[0010] Convert the geospatial data into a 3D model format adapted to the 3D map to obtain the converted geospatial data;

[0011] Perform coordinate system unification processing on the converted geospatial data to obtain geospatial data with unified coordinates;

[0012] Perform precision optimization and simplification processing on the geospatial data with unified coordinates to obtain preprocessed geospatial data.

[0013] In one embodiment, the preprocessing of the electro-carbon data to obtain preprocessed electro-carbon data includes:

[0014] Remove abnormal data points in the electro-carbon data and fill in missing values according to a preset threshold to obtain electro-carbon data with complete data;

[0015] Perform timestamp format standardization processing on the electro-carbon data with complete data to obtain electro-carbon data with unified time standards;

[0016] Perform coordinate system unification processing on the electro-carbon data with unified time standards to obtain preprocessed electro-carbon data.

[0017] In one embodiment, the fusion processing of the preprocessed geospatial data and the preprocessed electro-carbon data to obtain fused 3D spatial data includes:

[0018] Determine the matching relationship between the preprocessed electro-carbon data and the geographical objects according to the coordinate information of each geographical object in the preprocessed geospatial data and the coordinate information of the preprocessed electro-carbon data to obtain a matching result;

[0019] According to the matching result, add the preprocessed electro-carbon data as attribute information of the geographical object to the preprocessed geospatial data to obtain fused 3D spatial data.

[0020] In one embodiment, the loading of the 3D spatial data in the 3D map to display the electro-carbon data includes:

[0021] Locate the geographical object to the target position of the 3D map according to the coordinate information of each geographical object in the fused 3D spatial data;

[0022] In the target position of the 3D map, render and load the geographical object in the form of a 3D model based on the texture map and lighting parameters corresponding to the appearance type of the geographical object;

[0023] Embed the electro - carbon data associated with the geographical object into the display page of the 3D map in the form of a chart.

[0024] In one embodiment, after embedding the electro - carbon data associated with the geographical object into the display page of the 3D map in the form of a chart, it further includes:

[0025] Receive new electro - carbon data in real - time and write the new electro - carbon data into the fused 3D spatial data in an incremental manner;

[0026] In response to an operation request for any geographical object in the 3D map, obtain the unique identifier of the any geographical object;

[0027] Extract the corresponding target electro - carbon data from the fused 3D spatial data according to the unique identifier;

[0028] Generate a corresponding chart based on the target electro - carbon data and refresh and display the chart on the display page of the 3D map.

[0029] In a second aspect, the present application also provides an electro - carbon display device for 3D geographical information, including:

[0030] A data acquisition module, configured to acquire geographical spatial data and electro - carbon data corresponding to a target geographical area;

[0031] A pre - processing module, configured to pre - process the geographical spatial data to obtain pre - processed geographical spatial data, and pre - process the electro - carbon data to obtain pre - processed electro - carbon data;

[0032] A data fusion module, configured to perform a fusion process on the pre - processed geographical spatial data and the pre - processed electro - carbon data to obtain fused 3D spatial data;

[0033] A data display module, configured to load the 3D spatial data in a 3D map to display the electro - carbon data.

[0034] In a third aspect, the present application also provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0035] Acquire geographical spatial data and electro - carbon data corresponding to a target geographical area;

[0036] Pre - process the geographical spatial data to obtain pre - processed geographical spatial data, and pre - process the electro - carbon data to obtain pre - processed electro - carbon data;

[0037] Fuse the preprocessed geospatial data with the preprocessed electro-carbon data to obtain fused three-dimensional spatial data;

[0038] In a three-dimensional map, load the three-dimensional spatial data to display the electro-carbon data.

[0039] Fourthly, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0040] Obtain the geospatial data and electro-carbon data corresponding to the target geographical area;

[0041] Preprocess the geospatial data to obtain preprocessed geospatial data, and preprocess the electro-carbon data to obtain preprocessed electro-carbon data;

[0042] Fuse the preprocessed geospatial data with the preprocessed electro-carbon data to obtain fused three-dimensional spatial data;

[0043] In a three-dimensional map, load the three-dimensional spatial data to display the electro-carbon data.

[0044] Fifthly, the present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, the following steps are implemented:

[0045] Obtain the geospatial data and electro-carbon data corresponding to the target geographical area;

[0046] Preprocess the geospatial data to obtain preprocessed geospatial data, and preprocess the electro-carbon data to obtain preprocessed electro-carbon data;

[0047] Fuse the preprocessed geospatial data with the preprocessed electro-carbon data to obtain fused three-dimensional spatial data;

[0048] In a three-dimensional map, load the three-dimensional spatial data to display the electro-carbon data.

[0049] The above-mentioned method, device, computer equipment, computer-readable storage medium and computer program product for the electro-carbon display of three-dimensional geographic information. First, obtain the geospatial data and electro-carbon data corresponding to the target geographic area. By obtaining the geospatial data and electro-carbon data corresponding to the target geographic area, it is possible to ensure that the subsequent display content has spatial reference information and energy data basis, and realize the spatial positioning ability of the data. Then, preprocess the geospatial data to obtain the preprocessed geospatial data, and preprocess the electro-carbon data to obtain the preprocessed electro-carbon data. By preprocessing the geospatial data and electro-carbon data respectively, it is possible to improve the structural consistency and semantic compatibility between different data sources, facilitate the accurate execution of subsequent fusion processing, reduce the impact of problems such as inconsistent formats, mismatched coordinate systems, and data missing on the analysis results, and improve the data processing efficiency and quality. Then, fuse the preprocessed geospatial data with the preprocessed electro-carbon data to obtain the fused three-dimensional spatial data. By fusing the preprocessed geospatial data with the electro-carbon data, it is possible to correspond the energy operation indicators to specific geographic objects one by one, construct a fused data model with spatial semantics, help realize the structured expression of electro-carbon data in the geospatial, and enhance the positioning ability and spatial perception of the data. Finally, in the three-dimensional map, load the three-dimensional spatial data to display the electro-carbon data. By loading the fused three-dimensional spatial data in the three-dimensional map, it is possible to realize the synchronous visualization display of geographic objects and their corresponding electro-carbon data, thereby enhancing the spatial presentation ability of the data, enabling users to intuitively understand the distribution law of electro-carbon data in the real space scenario, and thus enhancing the readability and application value of the data. In the above method, through the preprocessing, fusion and three-dimensional scene display of geospatial data and electro-carbon data, the precise binding between electro-carbon data and specific spatial objects is realized, the spatial organization ability and intuitive display ability of the data are enhanced, and the problems of unclear corresponding relationship between electro-carbon data and geographic objects and poor display readability in the prior art are solved, providing efficient and spatialized data support for urban energy management and carbon emission assessment. Brief Description of the Drawings

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for the description of the embodiments of the present application or related technologies. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0051] Figure 1 It is a schematic flowchart of the method for the electro-carbon display of three-dimensional geographic information in an embodiment;

[0052] Figure 2Schematic flowchart of steps for obtaining fused three-dimensional spatial data in an embodiment;

[0053] Figure 3 Schematic flowchart of steps for displaying electro-carbon data in an embodiment;

[0054] Figure 4 Structural block diagram of an electro-carbon display device for three-dimensional geographic information in an embodiment;

[0055] Figure 5 Internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0056] In order to make the objectives, technical solutions and advantages of the present application more clear and understandable, the present application 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 only used to explain the present application and are not used to limit the present application.

[0057] In one embodiment, as Figure 1 shown, a method for electro-carbon display of three-dimensional geographic information is provided. In this embodiment, the method is exemplified by being applied to a terminal. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, etc. The server can be an independent physical server, can also be a server cluster or distributed system composed of multiple physical servers, and can also be a cloud server providing cloud computing services. In this embodiment, the method includes the following steps:

[0058] Step S101, obtain geographic spatial data and electro-carbon data corresponding to a target geographic area.

[0059] Among them, geographic spatial data refers to data containing information such as spatial positions, boundary shapes, geographic features, and object distributions related to the target geographic area, usually expressed in the form of polygons, line segments or points, and accompanied by a geographic coordinate system.

[0060] Electro-carbon data refers to data reflecting the power consumption, carbon emissions and related energy consumption indicators of each building or facility in the target geographic area, and may include historical records, real-time monitoring values or statistical data.

[0061] Exemplarily, the terminal can first retrieve the spatial boundary of the target area and the building contour data contained therein from the remote server by accessing a preset geographic information system interface, and perform cropping and screening according to the longitude and latitude range of the target area to extract the geospatial data of the area. Subsequently, the terminal can obtain the power consumption data and carbon emission data within the corresponding area by calling the open interfaces of the power data platform or the carbon emission monitoring platform, and store them uniformly in a structured format of electricity-carbon data for subsequent preprocessing and fusion operations.

[0062] Step S102: Preprocess the geospatial data to obtain the preprocessed geospatial data, and preprocess the electricity-carbon data to obtain the preprocessed electricity-carbon data.

[0063] The preprocessed geospatial data refers to the standardized spatial data that has completed processing such as format conversion, coordinate system unification, and accuracy optimization, and has a structure suitable for 3D modeling and fusion.

[0064] The preprocessed electricity-carbon data refers to the power and carbon emission data that has been cleaned, complemented, and unified in structure and units, and is a dataset with integrity, consistency, and spatial positioning capabilities.

[0065] Exemplarily, the terminal can first convert the original geospatial data from the original format to a model format supported by a 3D map (such as JSON structure) and unify the coordinate system, and then perform accuracy simplification and topology correction of the model to obtain geospatial data that can be used for 3D display. At the same time, the terminal can perform processing such as outlier removal, missing value filling, and standardization of timestamp and coordinate formats on the electricity-carbon data to ensure its unified structure, clear fields, and have a spatial index field corresponding to the spatial object to support subsequent fusion processing.

[0066] Step S103: Perform fusion processing on the preprocessed geospatial data and the preprocessed electricity-carbon data to obtain the fused 3D spatial data.

[0067] The fused 3D spatial data refers to a structured 3D spatial data model that has attached the electricity-carbon data as attribute information to the geospatial object, and has the 3D presentation ability and data carrying ability that can be rendered and interacted with.

[0068] Exemplarily, the terminal can search for the matching electro-carbon data records according to the spatial coordinate information of each geographical object (such as buildings) in the preprocessed geospatial data, and attach electro-carbon indicators (such as total electricity consumption, carbon emissions, energy consumption per unit area, etc.) as attribute fields to the object data structure; the terminal can use spatial matching algorithms (such as minimum bounding rectangle judgment, centroid point matching, attribute field comparison, etc.) to complete the construction of the mapping relationship between data, generate the integrated data records corresponding to each spatial object, and finally form a three-dimensional spatial data set with a complete geometric structure and energy consumption attributes.

[0069] Step S104, in the three-dimensional map, load the three-dimensional spatial data to display the electro-carbon data.

[0070] Among them, the three-dimensional map refers to a spatial display platform built based on a three-dimensional map engine (such as Cesium), which can load three-dimensional models with a geographical reference system and support data-driven graphic rendering and interactive display; displaying electro-carbon data means presenting the numerical information of electro-carbon data in a visual way, and the forms can include chart overlay, pop-up information, graphic annotation, etc.

[0071] Exemplarily, the terminal can build a display page based on the three-dimensional map engine, load the integrated three-dimensional spatial data into the map scene, and accurately locate it at the corresponding position on the map base map according to the coordinate information of the object during the loading process; the terminal can bind interaction events (such as click, hover) to each geographical object, and display its associated electro-carbon data content through a chart component or a pop-up window, such as displaying the daily electricity consumption change curve of the building, carbon emission statistics data, etc., to enhance the user's intuitive understanding of the spatial distribution and energy consumption indicators.

[0072] In the above method for electro-carbon display of three-dimensional geographic information, first, obtain the geographic spatial data and electro-carbon data corresponding to the target geographic area. By obtaining the geographic spatial data and electro-carbon data corresponding to the target geographic area, it is possible to ensure that the subsequent display content has spatial reference information and energy data basis, and realize the spatial positioning ability of the data. Then, preprocess the geographic spatial data to obtain the preprocessed geographic spatial data, and preprocess the electro-carbon data to obtain the preprocessed electro-carbon data. By preprocessing the geographic spatial data and electro-carbon data respectively, it is possible to improve the structural consistency and semantic compatibility between different data sources, facilitate the accurate execution of subsequent fusion processing, reduce the impact of problems such as inconsistent formats, mismatched coordinate systems, and data missing on the analysis results, and improve the data processing efficiency and quality. Then, fuse the preprocessed geographic spatial data with the preprocessed electro-carbon data to obtain the fused three-dimensional spatial data. By fusing the preprocessed geographic spatial data with the electro-carbon data, it is possible to correspond the energy operation indicators with specific geographic objects one by one, construct a fused data model with spatial semantics, help to realize the structured expression of electro-carbon data in the geographic space, and enhance the positioning ability and spatial perception of the data. Finally, in the three-dimensional map, load the three-dimensional spatial data to display the electro-carbon data. By loading the fused three-dimensional spatial data in the three-dimensional map, it is possible to realize the synchronous visualization display of geographic objects and their corresponding electro-carbon data, thereby enhancing the spatial presentation ability of the data, enabling users to intuitively understand the distribution law of electro-carbon data in the real space scene, and thus enhancing the readability and application value of the data. In the above method, through the preprocessing, fusion and three-dimensional scene display of the geographic spatial data and electro-carbon data, the accurate binding between the electro-carbon data and specific spatial objects is realized, the spatial organization ability and intuitive display ability of the data are enhanced, the problem that the corresponding relationship between the electro-carbon data and geographic objects in the prior art is not clear and the display readability is poor is solved, and efficient and spatialized data support is provided for urban energy management and carbon emission assessment.

[0073] In an exemplary embodiment, the above step S102 preprocesses the geographic spatial data to obtain the preprocessed geographic spatial data, and further includes: converting the geographic spatial data into a three-dimensional model format adapted to the three-dimensional map to obtain the converted geographic spatial data; performing coordinate system normalization processing on the converted geographic spatial data to obtain the geographic spatial data with unified coordinates; performing precision optimization and simplification processing on the geographic spatial data with unified coordinates to obtain the preprocessed geographic spatial data.

[0074] Among them, the electro-carbon data refers to the power consumption data and carbon emission data reflecting each geographic object or device in the target area, usually existing in the form of a structured table, including multiple fields such as time, value, spatial identifier, and data source, and is used to describe the regional energy consumption and its carbon impact.

[0075] Exemplarily, the terminal first performs outlier removal and missing value filling operations on the original electro-carbon data to improve data integrity and stability. Specifically, the terminal can detect abnormal fluctuations in the data based on a preset numerical threshold range and remove data records with obvious errors; at the same time, for the missing data in a time period caused by reasons such as sensor interruption and system failure, the terminal can use interpolation, historical mean, time series fitting, etc. to complete the filling to ensure data continuity.

[0076] Next, the terminal performs timestamp standardization processing on the filled data to unify the time format, time zone information, and time granularity. This operation can standardize different time formats (such as UTC, local time, second-level / minute-level granularity) existing in the original data into the standard time field required by the system, facilitating subsequent display and statistical analysis of electro-carbon data in terms of time dimension.

[0077] Subsequently, the terminal processes the spatial fields in the data and establishes an identifiable positioning field for each electro-carbon record and its affiliated spatial object. If the original electro-carbon data contains building numbers, administrative region codes, or longitude and latitude information, the terminal can convert them into spatial identifiers that can be corresponded to geographical spatial data, such as building IDs, spatial unit codes, or centroid coordinate points, through field mapping, coordinate parsing, or object matching algorithms.

[0078] Finally, the electro-carbon data after cleaning, filling, standardization, and positioning processing is uniformly stored as a structured data set with clear structure, standardized fields, and spatial fusion capabilities, as the preprocessed electro-carbon data for subsequent fusion with spatial data.

[0079] In this embodiment, by performing format conversion, coordinate unification, and precision optimization processing on the geographical spatial data, the terminal can generate three-dimensional model data with standard structure, reasonable precision, and compatibility with three-dimensional maps, laying a foundation for subsequent spatial fusion and three-dimensional loading, and effectively improving the adaptability and rendering efficiency of spatial data. At the same time, by performing preprocessing operations such as outlier removal, missing value filling, timestamp standardization, and spatial field filling on the electro-carbon data, the structural integrity and semantic clarity of the electro-carbon data are improved, ensuring that the data has spatial matching capabilities and time continuity during the fusion stage, and enhancing the reliability and displayability of data spatial fusion.

[0080] In an exemplary embodiment, the above-mentioned step S102 preprocesses the electric-carbon data to obtain preprocessed electric-carbon data, and also includes: according to a preset threshold, removing abnormal data points in the electric-carbon data, and filling missing values in the electric-carbon data to obtain complete electric-carbon data; standardizing the timestamp format of the electric-carbon data with complete data to obtain electric-carbon data with a unified time standard; and normalizing the coordinate system of the electric-carbon data with a unified time standard to obtain preprocessed electric-carbon data.

[0081] Among them, electricity carbon data refers to the electricity consumption and carbon emissions of buildings or regions recorded in the form of tables, databases or data streams, usually including time fields, value fields and spatial identification fields. Abnormal data points refer to records whose values deviate significantly from the reasonable range, missing values refer to items in the data that are empty or unavailable, the timestamp format is the time representation method of electricity carbon data records, and the coordinate system is used to describe the spatial mapping relationship between electricity carbon data and geographic locations.

[0082] Exemplarily, the terminal first traverses each record in the original electricity carbon data set and performs anomaly detection on the "electricity consumption" and "carbon emissions" fields respectively. For example, for residential buildings, the terminal can set a reasonable threshold range for daily electricity consumption of 0.5kWh-100kWh and a reasonable range for carbon emissions of 0.1kg to 50kg. For data points that exceed the upper limit or are lower than the lower limit, the terminal marks them as outliers and constructs a new data subset after removing them.

[0083] Subsequently, the terminal performs interpolation operations based on adjacent valid data points in the time series, or fills in missing values based on historical averages to generate electric carbon data with a complete data structure. For example, if there is a missing value, after sorting by time field, take the valid values of the building object at adjacent time points, and use linear interpolation to calculate the estimated value of the missing time point. If the length of the missing segment exceeds the set threshold (such as more than 3 consecutive missing records), the terminal can call the historical average value of the same day and time period to replace the filling, thereby improving the stability of interpolation.

[0084] Next, the terminal unifies the timestamp format of the filled data, converts the various time expressions in the original records into a unified time format, and organizes the records into a unified time granularity (such as hours or days). On this basis, the terminal parses and standardizes the spatial identification fields in the data, and maps information such as area names, building codes, or longitude and latitude coordinates into unified spatial coordinates or spatial object IDs. The resulting electric carbon data has a unified data structure in both time and space dimensions, which is the preprocessed electric carbon data.

[0085] In this embodiment, after the abnormal elimination and missing value filling operations are performed on the electro-carbon data, it has higher temporal continuity and numerical integrity. Through the unification of the timestamp format and the regularization of the time granularity, the standardized management of electro-carbon data from different sources in the time dimension is realized. Through the parsing and unification of the spatial fields, the electro-carbon data is enabled to be bound to geographical spatial objects, providing accurate and stable data support for subsequent data fusion and three-dimensional scene display.

[0086] In an exemplary embodiment, as Figure 2 shown, the above step S103 of fusing the preprocessed geographical spatial data with the preprocessed electro-carbon data to obtain the fused three-dimensional spatial data can also be achieved through the following steps:

[0087] Step S201: Determine the matching relationship between the preprocessed electro-carbon data and the geographical objects according to the coordinate information of each geographical object in the preprocessed geographical spatial data and the coordinate information of the preprocessed electro-carbon data, and obtain the matching result.

[0088] Step S202: According to the matching result, add the preprocessed electro-carbon data as the attribute information of the geographical objects to the preprocessed geographical spatial data to obtain the fused three-dimensional spatial data.

[0089] Among them, a geographical object refers to a spatial entity representing a building, a region or a functional unit in the geographical spatial data, usually including information such as a spatial outline, an object ID, and attribute fields; the matching relationship refers to a mapping structure that establishes a one-to-one association between the electro-carbon data and the corresponding geographical objects through spatial positions or identification fields; the fused three-dimensional spatial data refers to a data set formed by embedding the electro-carbon data as attribute information into spatial objects, which has both a spatial structure and carries operation indicators, and can be used for visual display and interactive analysis.

[0090] Exemplarily, the terminal first reads each geographical object entity in the preprocessed geographical spatial data and extracts its spatial positioning information, including fields such as the center point coordinates (centroid), the boundary polygon, and the object ID. At the same time, the terminal traverses the records of the preprocessed electro-carbon data and extracts the coordinate fields or building numbers in each record.

[0091] If the electro-carbon data contains standardized coordinate information (such as longitude / latitude), the terminal can perform a spatial positioning operation on the coordinate to determine whether it is within the boundary range of a certain geographical object. Common methods include the ray method, the polygon inclusion algorithm, or fine judgment after rapid filtering by the minimum bounding rectangle. If the electro-carbon data is identified by a building number or a regional code, the terminal then matches the ID of the corresponding geographical object based on the number field to establish a direct mapping relationship.

[0092] After completing the above matching operation, the terminal generates a set of mapping results (i.e., matching results) of "electrical carbon data records - spatial objects". For each successfully matched spatial object, the terminal adds the core fields in the electrical carbon data (such as "daily power consumption", "total carbon emissions", "electrical energy per unit area") as attribute values to the data structure of the object. New field nodes can be added to the object attribute structure to nestedly contain multi-dimensional electrical carbon information such as time, value, and unit.

[0093] The set of all attached spatial objects constitutes the final fused three-dimensional spatial data, which has complete geometric information and energy attributes and can be used to display its electrical carbon indicators, perform operations such as chart pop-up window binding or heat color mapping according to the object in the three-dimensional map.

[0094] In this embodiment, by extracting spatial coordinates or identification fields, the accurate matching between electrical carbon data and spatial objects is realized, and a one-to-one mapping relationship is established; by attaching the electrical carbon data as a structured attribute to geographical objects, the deep integration of data and spatial models is realized. It significantly improves the spatial organization of electrical carbon data, enables it to have an object-oriented three-dimensional expression ability, and provides complete data support for subsequent visual display and spatial query analysis.

[0095] In an exemplary embodiment, as Figure 3 shown, the above step S014 in the three-dimensional map loads the three-dimensional spatial data to display the electrical carbon data, and can also be realized through the following steps:

[0096] Step S301, according to the coordinate information of each geographical object in the fused three-dimensional spatial data, locate the geographical object to the target position in the three-dimensional map;

[0097] Step S302, in the target position of the three-dimensional map, based on the texture map and lighting parameters corresponding to the appearance type of the geographical object, render and load the geographical object in the form of a three-dimensional model;

[0098] Step S303, embed the electrical carbon data associated with the geographical object into the display page of the three-dimensional map in the form of a chart.

[0099] Among them, the three-dimensional map refers to a map scene built based on a three-dimensional engine, which supports three-dimensional model loading, spatial positioning, attribute visualization, and user interaction; the texture map and lighting parameters are visual materials and lighting configurations used to render the appearance of geographical object models, ensuring that the building models have a sense of reality and recognition in the three-dimensional environment; the electrical carbon data chart refers to presenting the electrical carbon attribute data carried by spatial objects in a graphical form (such as bar charts, line charts, pie charts, etc.) on the map display interface to enhance data readability and interactivity.

[0100] Exemplarily, the terminal first parses the fused three-dimensional spatial data structure and reads the spatial coordinate information of each geographical object, including its longitude and latitude, geographical boundaries, or the center of gravity of the model. According to the map coordinate reference system, the terminal converts the spatial positions of the objects into the target rendering positions on the three-dimensional map and inserts them into the layer management system of the map.

[0101] Next, the terminal selects a matching three-dimensional model template or constructs a logical geometric structure according to the appearance type of the geographical object (such as residential buildings, factories, office buildings, etc.). The terminal assigns material textures (such as wall textures, roof styles) to each object, sets lighting parameters (such as ambient light, directional light intensity), and adds them as independent nodes to the three-dimensional scene tree. This rendering operation realizes the real three-dimensional presentation of geographical objects on the map by constructing a mesh structure, texture objects, and lighting controllers.

[0102] Subsequently, the terminal identifies the attached electro-carbon attribute fields of each object (such as "total electricity consumption", "daily carbon emissions", "electro-carbon trend"), and calls the visualization component library to draw the data into charts, such as daily electricity consumption line charts, unit area electro-carbon bar charts, etc. The charts can be embedded in the map page through HTML (Hyper Text Markup Language) element floating layers or layer components, and bound to the click events or hover interactions of the corresponding spatial objects. The layout position of the charts can be automatically adjusted according to the user's perspective to ensure that the core model content is not blocked, and it supports interactive operations such as clicking to expand detailed indicators and sliding to compare historical trends.

[0103] Finally, an integrated output of the spatial positioning, real rendering of geographical objects, and graphical display of electro-carbon data on the three-dimensional map is achieved.

[0104] In this embodiment, by positioning and loading the fused geographical objects into the three-dimensional map scene and combining texture mapping and lighting rendering technologies, the real visualization of spatial objects is achieved; by identifying and parsing the bound electro-carbon data and presenting it in the form of charts on the map display interface, the readability and interactivity of the data are enhanced. The spatial display effect of electro-carbon data is effectively improved, enabling users to intuitively perceive the energy consumption distribution and carbon emissions in the three-dimensional scene, and realizing the linked presentation and visual integration of data and spatial structures.

[0105] In an exemplary embodiment, after embedding the electro-carbon data associated with the geographical object into the display page of the 3D map in the form of a chart in the above step S303, the following steps are further included: receiving new electro-carbon data in real time, and writing the new electro-carbon data into the fused 3D spatial data in an incremental manner; in response to an operation request for any geographical object in the 3D map, obtaining the unique identifier of any geographical object; extracting the corresponding target electro-carbon data from the fused 3D spatial data according to the unique identifier; generating a corresponding chart based on the target electro-carbon data, and refreshing and displaying the chart on the display page of the 3D map.

[0106] Among them, writing in an incremental manner means that without reloading all the data, only the newly added or changed electro-carbon data is supplemented and updated; the unique identifier refers to the unique coding field bound to each geographical object, which is used to locate its position in the fused data structure; chart refreshing means that after being triggered by user interaction, the electro-carbon graphical data view corresponding to the object is regenerated and displayed.

[0107] Exemplarily, the terminal accesses the real-time data stream from the electro-carbon monitoring platform and listens for the push of new electro-carbon data at a preset time interval (such as every 5 minutes). The new data includes spatial identifiers (such as building IDs), timestamps, and electro-carbon index values. After the terminal parses each new data record, it matches the geographical object node in the 3D spatial data structure according to its building ID, and appends the data to the historical electro-carbon data list in its internal attribute structure, realizing incremental update of the data structure instead of overall reconstruction.

[0108] During the user interaction process, if the user triggers the viewing operation of a certain geographical object by clicking, hovering, or menu selection, the terminal will obtain the unique identifier field of the object and use it as an index key to retrieve and match the object in the fused 3D spatial data. After successful acquisition, the terminal reads the electro-carbon data currently bound to it, including the latest power consumption, total carbon emissions, and trend data, etc.

[0109] Subsequently, the terminal uses the chart component to graphically process the extracted target electro-carbon data to generate updated chart content (such as a line chart of power consumption changes in the last 24 hours, a historical carbon emission trend chart, etc.). The terminal replaces the original chart area on the display page with the chart, or dynamically renders it above the geographical object in the form of a pop-up window to complete the refresh of the data display for a specific object.

[0110] The entire process supports dynamic data injection and on-demand refresh, ensuring that the electro-carbon chart content in the map interface is always synchronized with the background data, and users can obtain the latest operating status and energy consumption levels of any object at any time.

[0111] In this embodiment, by receiving incremental electro-carbon data in real time and dynamically writing it into a three-dimensional spatial data structure, the continuous update state of electro-carbon information can be maintained, reducing the redundant loading pressure. By listening to user interaction requests and locating target geographical objects based on unique identifiers, combined with the dynamic generation and partial refresh mechanism of charts, the timely response of data display and the interactive switching of views are realized. This improves the real-time performance and interactivity of electro-carbon visualization, providing users with a more accurate and flexible data monitoring experience.

[0112] In another exemplary embodiment, the present application provides a three-dimensional geographic information electro-carbon analysis visualization system based on Cesium. This system can integrate urban spatial objects with their corresponding power consumption, carbon emissions and other indicators, and perform visual display and interactive analysis on a three-dimensional map page.

[0113] Among them, the overall architecture of the system includes the following functional modules: Cesium three-dimensional map rendering engine, geospatial data processing module, electro-carbon data acquisition and fusion module, three-dimensional model construction module, data chart display module, user interaction control module, and data update module. Each module operates in coordination through the browser front-end and the background service, and is finally integrated into the Web page to achieve end-to-end display.

[0114] The system operation process is as follows: First, the system loads the three-dimensional map base map and accesses geospatial data, including urban area range, terrain, building models, etc. The WGS84 coordinate system (World Geodetic System——1984 Coordinate System) is uniformly adopted, and the original models such as building outlines are converted into glTF or CZML formats supported by Cesium according to the rendering requirements. The system locates each geographical object in the three-dimensional scene according to its spatial coordinates through the Cesium scene construction data interface, and attaches real texture maps and lighting parameters to realize the visualization of the spatial model.

[0115] In terms of data processing, the electro-carbon data is accessed from an external platform, and the formats include timestamp, power value, carbon emission, spatial identification field, etc. The system performs cleaning operations on the original electro-carbon data, including outlier removal, missing value filling, and time field standardization, and performs aggregation processing according to building or area identification. Subsequently, according to the spatial coordinate field or building ID, the electro-carbon data is matched and bound with the three-dimensional spatial object to form a fused data model structure. In the structure, each spatial object nests an energy attribute sub-node, containing its historical and current power, carbon emission and other information.

[0116] At the display level, the system loads the above-mentioned fusion model into the Cesium map scene and renders geographical objects in the form of buildings in a three-dimensional environment. On this basis, the system introduces chart components and binds electro-carbon data charts to each spatial object. When the user clicks on any building model in the 3D map, a chart display box will pop up on the page, showing the electricity consumption trend chart, daily carbon emission line chart, or monthly energy consumption bar chart of the building for a recent period of time, etc. The types and data structures of the charts are configurable, supporting display with different time granularities and different indicator combinations. For example, using a 3D satellite map as the main view, building models are superimposed on the terrain, and users can freely zoom in and out, rotate, and switch perspectives. On the left side of the map, an overview of the overall energy consumption and carbon emission data of the city or region is shown, such as total electricity consumption, per capita carbon emission, proportion of classified energy consumption, annual trend, etc.; on the right side, detailed electro-carbon charts of the currently selected building or region are displayed in real time, such as line charts of energy consumption changes per unit area, carbon emission pie charts, energy efficiency evaluation indicators, etc. When the user clicks on any building model, the multi-dimensional energy consumption data of the object can be viewed in the sidebar or pop-up window. The charts support switching of time periods and filtering of indicators, improving data readability and interactivity. Also, based on the urban area boundary, the system shows the outline shapes of each administrative region or functional area in the center of the map, and overlays labels within each region, showing the number of buildings, total electricity consumption, total carbon emissions, etc. of the region. Summary statistical indicators such as total industrial and commercial electricity consumption, per capita energy consumption, and carbon intensity ranking are shown above the interface; various indicator trends are shown in the chart areas on both sides, including bar charts of electricity consumption structure, comparison of energy consumption per unit area, analysis of building type distribution, etc. Users can click on any regional label to trigger an interactive refresh of the interface, showing the energy performance of the region in different dimensions.

[0117] To further enhance the interactive experience, the system supports the following interaction methods: Click on a spatial object: Trigger the pop-up of the chart or the update of the page sidebar to show the electro-carbon indicators of the corresponding building; Hover interaction: Highlight the outline of the building and show a floating window with brief energy consumption data; Chart and map linkage: When the user selects a time period in the chart, the electro-carbon anomaly positions during that time period can be highlighted on the map; Real-time data refresh: The system regularly accesses the latest electro-carbon data from the background, writes it into the fusion structure in an incremental manner, and triggers the automatic refresh of the charts of the displayed objects in the current view to ensure data dynamics.

[0118] In addition, the map supports basic 3D map interaction actions such as perspective rotation, zooming, and regional roaming, and users can view the area of interest from any perspective.

[0119] In this embodiment, the system does not require manual layer loading or view switching. All geographical data and electro-carbon data are highly integrated and centrally displayed in the map interface, simplifying user operations and improving information integration efficiency. Compared with traditional chart displays, the system enhances the spatial correlation and display intuitiveness of electro-carbon data, making the spatial distribution laws of urban carbon emissions and energy consumption clearly perceivable, and providing technical support for regional energy management, carbon monitoring analysis, and regulation policies.

[0120] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown in the direction of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0121] Based on the same inventive concept, the embodiments of the present application also provide a three-dimensional geographic information electro-carbon display device for implementing the three-dimensional geographic information electro-carbon display method involved above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the three-dimensional geographic information electro-carbon display device provided below can refer to the limitations on the three-dimensional geographic information electro-carbon display method in the above text, and will not be repeated here.

[0122] In an exemplary embodiment, as Figure 4 shown, a three-dimensional geographic information electro-carbon display device is provided, including: a data acquisition module 401, a preprocessing module 402, a data fusion module 403, and a data display module 404, where:

[0123] The data acquisition module 401 is used to acquire geographical spatial data and electro-carbon data corresponding to a target geographical area;

[0124] The preprocessing module 402 is used to preprocess the geographical spatial data to obtain the preprocessed geographical spatial data, and preprocess the electro-carbon data to obtain the preprocessed electro-carbon data;

[0125] The data fusion module 403 is used to fuse the preprocessed geographical spatial data with the preprocessed electro-carbon data to obtain the fused three-dimensional spatial data;

[0126] The data display module 404 is used to load three-dimensional spatial data in a three-dimensional map to display the electro-carbon data.

[0127] In one embodiment, the above-mentioned preprocessing module 402 is further configured to convert the geospatial data into a three-dimensional model format adapted to the three-dimensional map to obtain the converted geospatial data; perform coordinate system unification processing on the converted geospatial data to obtain the geospatial data with unified coordinates; perform accuracy optimization and simplification processing on the geospatial data with unified coordinates to obtain the preprocessed geospatial data.

[0128] In one embodiment, the above-mentioned preprocessing module 402 is further configured to remove abnormal data points in the electro-carbon data and fill in the missing values in the electro-carbon data according to a preset threshold to obtain the electro-carbon data with complete data; perform timestamp format standardization processing on the electro-carbon data with complete data to obtain the electro-carbon data with unified time standards; perform coordinate system unification processing on the electro-carbon data with unified time standards to obtain the preprocessed electro-carbon data.

[0129] In one embodiment, the above-mentioned data fusion module 403 is further configured to determine the matching relationship between the preprocessed electro-carbon data and the geographical object according to the coordinate information of each geographical object in the preprocessed geospatial data and the coordinate information of the preprocessed electro-carbon data to obtain a matching result; according to the matching result, add the preprocessed electro-carbon data as the attribute information of the geographical object to the preprocessed geospatial data to obtain the fused three-dimensional spatial data.

[0130] In one embodiment, the above-mentioned data display module 404 is further configured to locate the geographical object to the target position on the three-dimensional map according to the coordinate information of each geographical object in the fused three-dimensional spatial data; in the target position on the three-dimensional map, render and load the geographical object in the form of a three-dimensional model based on the texture map and lighting parameters corresponding to the appearance type of the geographical object; embed the electro-carbon data associated with the geographical object into the display page of the three-dimensional map in the form of a chart.

[0131] In one embodiment, the above-mentioned electro-carbon display device for three-dimensional geographic information further includes a real-time interaction module, which is used to receive new electro-carbon data in real time and write the new electro-carbon data into the fused three-dimensional spatial data in an incremental manner; in response to an operation request for any geographical object in the three-dimensional map, obtain the unique identifier of any geographical object; extract the corresponding target electro-carbon data from the fused three-dimensional spatial data according to the unique identifier; generate a corresponding chart based on the target electro-carbon data and refresh and display the chart on the display page of the three-dimensional map.

[0132] Each module in the above three-dimensional geographic information electro-carbon display device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0133] In an exemplary embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as Figure 5 shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a three-dimensional geographic information electro-carbon display method. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0134] Those skilled in the art can understand that Figure 5 the structure shown in

[0135] is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0136] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0137] In one embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0138] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data that have been authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0139] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include Read-Only Memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, Resistive Random Access Memory (ReRAM), Magnetoresistive Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene memory, etc. Volatile memory can include Random Access Memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, Artificial Intelligence (AI) processors, etc., without limitation.

[0140] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope recorded in the present application.

[0141] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for displaying electric carbon of three-dimensional geographic information, characterized in that The method includes: Obtaining the geospatial data and electro-carbon data corresponding to the target geographical area; Preprocessing the geospatial data to obtain the preprocessed geospatial data, and preprocessing the electro-carbon data to obtain the preprocessed electro-carbon data; Performing fusion processing on the preprocessed geospatial data and the preprocessed electro-carbon data to obtain the fused three-dimensional spatial data; Loading the three-dimensional spatial data in a three-dimensional map to display the electro-carbon data.

2. The method according to claim 1, wherein The preprocessing of the geospatial data to obtain the preprocessed geospatial data includes: Converting the geospatial data into a three-dimensional model format adapted to the three-dimensional map to obtain the converted geospatial data; Performing coordinate system unification processing on the converted geospatial data to obtain the geospatial data with unified coordinates; Performing accuracy optimization and simplification processing on the geospatial data with unified coordinates to obtain the preprocessed geospatial data.

3. The method according to claim 1, wherein The preprocessing of the electro-carbon data to obtain the preprocessed electro-carbon data includes: Removing the abnormal data points in the electro-carbon data according to a preset threshold and filling the missing values in the electro-carbon data to obtain the electro-carbon data with complete data; Performing timestamp format standardization processing on the electro-carbon data with complete data to obtain the electro-carbon data with unified time standards; Performing coordinate system unification processing on the electro-carbon data with unified time standards to obtain the preprocessed electro-carbon data.

4. The method according to claim 1, wherein The performing fusion processing on the preprocessed geospatial data and the preprocessed electro-carbon data to obtain the fused three-dimensional spatial data includes: Determining the matching relationship between the preprocessed electro-carbon data and the geographical object according to the coordinate information of each geographical object in the preprocessed geospatial data and the coordinate information of the preprocessed electro-carbon data to obtain a matching result; According to the matching result, adding the preprocessed electro-carbon data as the attribute information of the geographical object to the preprocessed geospatial data to obtain the fused three-dimensional spatial data.

5. The method according to claim 4, wherein The loading the three-dimensional spatial data in a three-dimensional map to display the electro-carbon data includes: Positioning the geographical object to the target position of the three-dimensional map according to the coordinate information of each geographical object in the fused three-dimensional spatial data; Rendering and loading the geographical object in the form of a three-dimensional model based on the texture map and lighting parameters corresponding to the appearance type of the geographical object at the target position of the three-dimensional map; Embedding the electro-carbon data associated with the geographical object into the display page of the three-dimensional map in the form of a chart.

6. The method according to claim 4, wherein After embedding the electro-carbon data associated with the geographical object into the display page of the three-dimensional map in the form of a chart, it further includes: Receiving new electro-carbon data in real time and writing the new electro-carbon data into the fused three-dimensional spatial data in an incremental manner; Responding to an operation request for any geographical object in the three-dimensional map, obtaining the unique identifier of the any geographical object; Extract corresponding target electro-carbon data from the fused three-dimensional spatial data according to the unique identifier; Generate a corresponding chart based on the target electro-carbon data and refresh and display the chart on the display page of the three-dimensional map.

7. An electro-carbon display device for three-dimensional geographic information, characterized in that, The device includes: A data acquisition module, configured to acquire geospatial data and electro-carbon data corresponding to a target geographical area; A preprocessing module, configured to preprocess the geospatial data to obtain preprocessed geospatial data, and preprocess the electro-carbon data to obtain preprocessed electro-carbon data; A data fusion module, configured to perform a fusion process on the preprocessed geospatial data and the preprocessed electro-carbon data to obtain fused three-dimensional spatial data; A data display module, configured to load the three-dimensional spatial data in a three-dimensional map to display the electro-carbon data.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that, When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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