Mine objectified data visualization method

Abstract

The invention relates to the technical field of mine data management and visualization, in particular to a mine objectification data visualization method, which comprises the following steps: S1, data acquisition and preprocessing; s2, carrying out three-dimensional modeling and objectification; s3, constructing a visual template library; s4, data association and fusion; and S5, performing visual display and interaction. According to the invention, through visual display of the three-dimensional graph and the real-time data, the management personnel can rapidly know the actual situation of the mine, and the decision-making efficiency and accuracy are improved; by accurately simulating and analyzing geological conditions, potential safety hazards are found in time, and the mining risk is reduced; the production process is monitored in real time, the production strategy is adjusted and optimized in time, and the production efficiency and the resource utilization rate are improved; through deep analysis and mining of data, mine resource allocation is optimized, and intelligent and fine management is realized.

Description

Technical Field

[0001] The invention relates to the technical field of mine data management and visualization, and in particular to a mine object data visualization method. Background Art

[0002] With the steady promotion of intelligent mine construction and the accelerated implementation of digital transformation of coal enterprises, the mining industry has an increasing demand for the collection, processing and analysis of mine data, and the requirements for data accuracy and real-time performance are also increasing. However, traditional data processing, management and visualization methods often have problems such as low data representation accuracy, difficulty in extracting complex geological information, poor data visualization, and the existence of data islands, which cannot meet the needs of intelligent mine management. At present, although some data visualization technologies have been applied to the construction of intelligent mines, most of them remain at the two-dimensional level or simple three-dimensional display, with limitations in three-dimensional model display, single model scene, poor dynamic interactivity, weak data collection, processing and dynamic analysis capabilities, and have failed to achieve deep objectification and dynamic interaction of data. Summary of the invention

[0003] The technical problem to be solved by the present invention is: in order to solve the technical problem of poor data visualization effect of existing data processing, management and visualization methods, the present invention provides a mine object data visualization method, which processes mine data in an object-oriented manner and displays it in an intuitive and easy-to-understand visualization form, so as to improve the management efficiency and decision-making support capabilities of mine data.

[0004] The technical solution adopted by the present invention to solve the technical problem is: a method for visualizing mine object data, comprising the following steps:

[0005] S1, data collection and preprocessing;

[0006] S2, 3D modeling and objectification;

[0007] S3, build a visualization template library;

[0008] S4, data association and fusion;

[0009] S5. Visual display and interaction.

[0010] Therefore, through the object-oriented data model, the actual objects of mining data and their relationships can be represented more accurately, thereby improving the accuracy of data representation; by establishing associations between objects, complex data problems can be handled more efficiently, thereby improving the efficiency of data processing; by using visualization technology, mining data can be displayed in the form of images, charts, etc., forming an intuitive and easy-to-understand visualization interface, thereby enhancing the visualization effect of data; through the intuitive display of three-dimensional graphics and real-time data, managers can quickly understand the actual situation of the mine and improve decision-making efficiency and accuracy; through precise simulation and analysis of geological conditions, potential safety hazards can be discovered in a timely manner, thereby reducing mining risks; real-time monitoring of the production process, timely adjustment and optimization of production strategies, and improvement of production efficiency and resource utilization; through in-depth analysis and mining of data, optimization of mining resource allocation can be achieved, and intelligent and refined management can be realized.

[0011] Furthermore, in step S1, various mine data of the intelligent mine in the whole life cycle management process are collected, and the various collected data are uniformly classified, cleaned, and format converted; wherein: preprocessing includes: classification, cleaning and format conversion.

[0012] Furthermore, in step S1, the mine data includes: terrain sub-data, mining sub-data, geological sub-data and equipment sub-data.

[0013] Furthermore, in step S2, based on the collected mining data, the mining objects are classified in detail according to their characteristics, and advanced three-dimensional modeling technology is used to build models for each type of sub-data, and they are associated with their own unique attribute data, and finally a systematic object-based model library is constructed.

[0014] Furthermore, in step S3, based on the constructed model library, common attributes are extracted to form a common template library, and at the same time, private attributes are extracted to construct unique template libraries of different categories of models.

[0015] Furthermore, in step S3, a universal and unique visualization display scheme is designed for the established template library, and corresponding interactive action templates are developed to finally form a visualization template library.

[0016] Furthermore, in step S4, visualization mapping rules for different object models are formulated to accurately map objectified data into visualization elements. By using big data analysis technology, digital objects in the visualization template are deeply associated to construct a holographic digital twin model of the mine. Thus, seamless connection between different data sources can be achieved, ensuring real-time update and consistency of data.

[0017] Furthermore, in step S4, the visualization elements include: shape, size, texture and color of the object model.

[0018] Furthermore, in step S5, different visualization scenes are constructed based on the established object library and visualization template library, and are intuitively displayed in a three-dimensional graphic manner in the visualization platform.

[0019] Furthermore, in step S5, the three-dimensional graphics method can improve the display functions of being editable, draggable, multi-angle, multi-level and multi-scale, and support real-time monitoring of various data in the mine production process, and provide data screening, analysis and comparison functions. Thus, it can help users quickly locate problems and optimize decisions.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] Through object-oriented data models, the actual objects of mining data and their relationships can be represented more accurately, thereby improving the accuracy of data representation; by establishing associations between objects, complex data problems can be handled more efficiently, thereby improving the efficiency of data processing; by using visualization technology, mining data can be displayed in the form of images, charts, etc., forming an intuitive and easy-to-understand visualization interface, thereby enhancing the visualization effect of data; through the intuitive display of three-dimensional graphics and real-time data, managers can quickly understand the actual situation of the mine and improve decision-making efficiency and accuracy; through precise simulation and analysis of geological conditions, potential safety hazards can be discovered in a timely manner, thereby reducing mining risks; real-time monitoring of the production process, timely adjustment and optimization of production strategies, and improvement of production efficiency and resource utilization; through in-depth analysis and mining of data, optimization of mining resource allocation can be achieved, and intelligent and refined management can be realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0023] Figure 1 The figure is a flow chart of the mine object data visualization method of the present invention. DETAILED DESCRIPTION

[0024] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0025] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0026] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] like Figure 1 The figure is the best embodiment of the present invention. The mine object data visualization method of this embodiment includes the following steps:

[0028] S1, data collection and preprocessing;

[0029] S2, 3D modeling and objectification;

[0030] S3, build a visualization template library;

[0031] S4, data association and fusion;

[0032] S5. Visual display and interaction. Thus, through the object-oriented data model, the actual objects and their relationships of the mine data can be more accurately represented, and the accuracy of data representation can be improved; by establishing the association relationship between objects, complex data problems can be handled more efficiently, and the efficiency of data processing can be improved; by using visualization technology, the mine data can be displayed in the form of images, charts, etc., forming an intuitive and easy-to-understand visualization interface, and enhancing the visualization effect of the data; through the intuitive display of three-dimensional graphics and real-time data, managers can quickly understand the actual situation of the mine and improve the efficiency and accuracy of decision-making; through accurate simulation and analysis of geological conditions, potential safety hazards can be discovered in time and mining risks can be reduced; real-time monitoring of the production process, timely adjustment and optimization of production strategies, and improvement of production efficiency and resource utilization; through in-depth analysis and mining of data, the allocation of mine resources can be optimized to achieve intelligent and refined management.

[0033] In this embodiment, in step S1, various mine data of the intelligent mine in the whole life cycle management process are collected, and the various collected data are uniformly classified, cleaned, and format converted; wherein: preprocessing includes: classification, cleaning, and format conversion; mine data includes: terrain sub-data, mining sub-data, geological sub-data, and equipment sub-data. Specifically, sensors, drones, laser scanning, GPS and other cutting-edge technical equipment are used to comprehensively collect multi-dimensional data such as the mine's topography, mapping information, tunnel layout, address structure, equipment operation status, and production process, and the collected massive data are deeply cleaned, carefully classified, accurately labeled, and necessary format conversions are performed, ultimately forming a set of standardized, object-oriented, high-quality data sets.

[0034] In this embodiment, in step S2, based on the collected mining data, the mining objects are carefully classified according to their characteristics, and advanced 3D modeling technology is used to build models for each type of sub-data, and they are associated with their own unique attribute data, and finally a systematic object-based model library is built. Specifically, based on oblique photography, GIS, CAD technology and self-developed 3D mapping software, 3D modeling of mining geology is performed, and basic attribute data of geological bodies are extracted and constructed. The basic attribute data includes: shape, size, color, texture; mining equipment, facilities and process flows are finely modeled to form independent digital objects, and their basic attribute data and real-time status data are associated.

[0035] In this embodiment, in step S3, based on the constructed model library, common attributes are extracted to form a common template library, and at the same time, private attributes are extracted to construct unique template libraries of different categories of models; a universal and unique visualization display scheme is designed for the established template library, and corresponding interactive action templates are developed to finally form a visualization template library. Specifically, the collected mining objects are carefully classified, and the constructed terrain object models, geological object models, production equipment models, and tunnel models are respectively designed in terms of their layout arrangement, display mode, display details, and interactive functions in three-dimensional space to form a rich visualization template library, ensuring that the attribute characteristics and real-time status of each object can be displayed intuitively and vividly.

[0036] In this embodiment, in step S4, visualization mapping rules for different object models are formulated, objectified data is accurately mapped to visualization elements, and digital objects in the visualization template are deeply associated by using big data analysis technology to construct a holographic digital twin model of the mine; the visualization elements include: the shape, size, texture and color of the object model. In this way, seamless connection (integration) between different data sources can be achieved, ensuring real-time update and consistency of data.

[0037] Specifically, a variety of mapping strategies have been formulated for different types of digital models to ensure efficient linkage between models by setting association rules such as unique identifiers; big data analysis technology is used to deeply associate digital objects in the visualization template library according to established rules to create a holographic digital twin model of the mine; diversified data update strategies are adopted, including: automatic data synchronization and manual maintenance through the WEBAPI interface to ensure the real-time and consistency of data.

[0038] In this embodiment, in step S5, different visualization scenes are constructed based on the established object library and visualization template library, and are intuitively displayed in the visualization platform in the form of three-dimensional graphics; the three-dimensional graphics can improve the display functions of programmability, draggability, multi-angle, multi-level and multi-scale, and support real-time monitoring of various data in the mine production process, and provide data screening, analysis and comparison functions. Therefore, it can help users quickly locate problems and optimize decisions.

[0039] Specifically, it can monitor key data in the mine production process in real time, including but not limited to equipment operating status, alarm warning information, production progress tracking, task scheduling, and potential safety hazards; and according to the preset early warning mechanism, once the system detects any abnormal situation, it will immediately and automatically send an alarm to the management personnel, and simultaneously provide targeted processing suggestions to help users quickly locate the problem, thereby optimizing the decision-making process and improving overall operational efficiency.

[0040] Let’s take a look at an example of a roadway visualization:

[0041] 1. Use a 3D laser scanner or other measuring equipment to collect the spatial data of the tunnel, including the location coordinates, size, direction, etc. of the tunnel, and extract its name, elevation and other attribute data. Then, clean the data, convert the coordinates, and establish a unified coordinate system;

[0042] 2. Establish object-oriented models such as the geometric shape, spatial position, and node connection relationship of the lanes, and associate the preprocessed data to obtain object-oriented data; design mapping rules, display different colors and textures for different types of lanes, and use different line widths, transparency, colors, etc. for lanes at different elevations. Based on the designed mapping rules, map the object-oriented data into visualization elements to generate a three-dimensional model;

[0043] 3. Based on the generated 3D model, design the display perspective, layout, interactive operation, etc. of the model in different visualization scenes, and generate the corresponding visualization template;

[0044] 4. Associate the generated visualization template with its digital object, display its attribute data and real-time data, and realize automatic data synchronization through the WEBAPI interface, or update the model data information through manual maintenance;

[0045] 5. Finally, display it on the visualization platform.

[0046] In summary, the present invention can more accurately represent the actual objects and relationships of mine data and improve the accuracy of data representation through an object-oriented data model; by establishing associations between objects, it can more efficiently handle complex data problems and improve the efficiency of data processing; by using visualization technology, mine data is displayed in the form of images, charts, etc., forming an intuitive and easy-to-understand visualization interface, and enhancing the visualization effect of data; through the intuitive display of three-dimensional graphics and real-time data, managers can quickly understand the actual situation of the mine and improve decision-making efficiency and accuracy; through accurate simulation and analysis of geological conditions, potential safety hazards can be discovered in time and mining risks can be reduced; real-time monitoring of the production process, timely adjustment and optimization of production strategies, and improvement of production efficiency and resource utilization; through in-depth analysis and mining of data, optimization of mine resource allocation and realization of intelligent and refined management.

[0047] The above description is based on the ideal embodiment of the present invention. Through the above description, relevant personnel can make various changes and modifications without departing from the technical concept of the present invention. The technical scope of the present invention is not limited to the content in the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A method for visualizing mine object data, characterized in that: The following steps are involved: S1, data collection and preprocessing; S2, 3D modeling and objectification; S3, build a visualization template library; S4, data association and fusion; S5. Visual display and interaction.

2. The method for visualizing mine object data according to claim 1, characterized in that: In step S1, various mine data of the intelligent mine in the whole life cycle management process are collected, and the collected various data are uniformly classified, cleaned, and format converted; Among them: pre-processing includes: Sorting, cleaning and format conversion.

3. The method for visualizing mine object data according to claim 1, characterized in that: In step S1, the mine data includes: Topographic sub-data, mining sub-data, geological sub-data, and equipment sub-data.

4. The method for visualizing mine object data according to claim 1, characterized in that: In step S2, based on the collected mining data, the mining objects are carefully classified according to their characteristics, and advanced 3D modeling technology is used to build models for each type of sub-data, and they are associated with their own unique attribute data, and finally a systematic object-based model library is constructed.

5. The method for visualizing mine object data according to claim 1, characterized in that: In step S3, based on the constructed model library, common attributes are extracted to form a common template library, and at the same time, private attributes are extracted to construct unique template libraries of different categories of models.

6. The method for visualizing mine object data according to claim 1, characterized in that: In step S3, a universal and unique visualization display scheme is designed for the established template library, and corresponding interactive action templates are developed to finally form a visualization template library.

7. The method for visualizing mine object data according to claim 1, characterized in that: In step S4, visualization mapping rules for different object models are formulated to accurately map objectified data into visualization elements. By using big data analysis technology, digital objects in the visualization template are deeply associated to construct a holographic digital twin model of the mine.

8. The method for visualizing mine object data according to claim 1, characterized in that: In step S4, the visualization elements include: The shape, size, texture, and color of the object model.

9. The method for visualizing mine object data according to claim 1, characterized in that: In step S5, different visualization scenes are constructed based on the established object library and visualization template library, and are intuitively displayed in a three-dimensional graphic manner on the visualization platform.

10. The method for visualizing mine object data according to claim 1, characterized in that: In step S5, the three-dimensional graphics method can improve the display functions of programmability, draggability, multi-angle, multi-level and multi-scale, support real-time monitoring of various data in the mining production process, and provide data screening, analysis and comparison functions.

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