Data viewing method, system and terminal based on station three-dimensional model

Abstract

The invention discloses a data viewing method, system and terminal based on a station three-dimensional model, and the method comprises the steps: obtaining the three-dimensional point cloud data of a target station, and carrying out the preprocessing of the three-dimensional point cloud data, and obtaining the target three-dimensional point cloud data; performing three-dimensional modeling processing according to the target three-dimensional point cloud data to obtain a target station three-dimensional model; acquiring equipment sensing data of the target station, and performing fusion processing on the equipment sensing data and the three-dimensional model of the target station to obtain a visual three-dimensional model of the target station; and when an equipment information viewing instruction is received, obtaining target equipment information in the visual target station three-dimensional model according to the equipment information viewing instruction, and performing visual display on the target equipment information. According to the method, the target station three-dimensional model and the equipment sensing data are fused, so that the visual target station three-dimensional model is obtained, and the viewing efficiency and the visual display effect of the station equipment information can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data viewing, and in particular to a data viewing method, system, terminal and computer-readable storage medium based on a three-dimensional model of a station. Background Art

[0002] With the continuous emergence and leapfrog development of new information technologies such as the Internet, Internet of Things, big data and cloud computing, the management model of traditional industrial fields has been greatly challenged. Due to the continuous expansion of production factor costs and labor costs in traditional industrial fields, enterprises need to consider how to achieve safe, sustainable production, operation, maintenance and management of sites at low cost, so as to quickly obtain basic data consistent with the actual status of the site.

[0003] However, existing enterprise site management systems generally use data reports and two-dimensional charts for viewing, which results in low viewing efficiency of site equipment information and poor visualization effects, and cannot meet user needs.

[0004] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0005] The main purpose of the present invention is to provide a data viewing method, system, terminal and computer-readable storage medium based on a three-dimensional model of a station, aiming to solve the problem that enterprise station management systems in the prior art generally use data reports and two-dimensional charts for viewing, resulting in low viewing efficiency of station equipment information and poor visualization effect, which cannot meet user needs.

[0006] To achieve the above object, the present invention provides a data viewing method based on a three-dimensional model of a station, and the data viewing method based on a three-dimensional model of a station comprises the following steps:

[0007] Acquire three-dimensional point cloud data of the target station, and pre-process the three-dimensional point cloud data to obtain target three-dimensional point cloud data;

[0008] Performing three-dimensional modeling processing according to the target three-dimensional point cloud data to obtain a three-dimensional model of the target station;

[0009] Acquire device sensor data of the target station, and fuse the device sensor data with the three-dimensional model of the target station to obtain a visualized three-dimensional model of the target station;

[0010] When a device information viewing instruction is received, the target device information in the visualized target station three-dimensional model is acquired according to the device information viewing instruction, and the target device information is visualized and displayed.

[0011] Optionally, the data viewing method based on the station three-dimensional model, wherein the step of acquiring the three-dimensional point cloud data of the target station and preprocessing the three-dimensional point cloud data to obtain the target three-dimensional point cloud data, specifically includes:

[0012] Determine the target station, and use the 3D laser scanning technology to perform 3D laser scanning processing on the target station to obtain 3D point cloud data;

[0013] The three-dimensional point cloud data is preprocessed to obtain target three-dimensional point cloud data, wherein the preprocessing includes point cloud stitching processing, point cloud denoising processing and point cloud simplification processing.

[0014] Optionally, the data viewing method based on the station three-dimensional model, wherein the preprocessing of the three-dimensional point cloud data to obtain target three-dimensional point cloud data specifically includes:

[0015] The three-dimensional point cloud data is spliced ​​by using a scanning splicing technology to obtain spliced ​​three-dimensional point cloud data;

[0016] Using a preset noise determination method to identify noise data in the spliced ​​three-dimensional point cloud data, and removing the noise data to obtain denoised three-dimensional point cloud data;

[0017] The denoised three-dimensional point cloud data is simplified by using a K-nearest neighbor algorithm and a least squares surface fitting method to obtain target three-dimensional point cloud data.

[0018] Optionally, in the data viewing method based on the three-dimensional model of the station, the preset noise judgment method includes any one of a direct inspection method, a curve inspection method, a chord height difference method and a value limitation method.

[0019] Optionally, the data viewing method based on the station three-dimensional model, wherein the three-dimensional modeling processing is performed according to the target three-dimensional point cloud data to obtain the target station three-dimensional model, specifically comprising:

[0020] A point cloud fitting modeling method is used to obtain a plurality of three-dimensional curves in the target three-dimensional point cloud data, and a plurality of three-dimensional surfaces are created according to the plurality of three-dimensional curves;

[0021] Reprocessing the plurality of three-dimensional curved surfaces to obtain an initial three-dimensional model of the station, wherein the reprocessing includes stretching processing, lofting processing, and shear scanning processing;

[0022] Structural features in the target station are acquired, and the initial station three-dimensional model is optimized according to the structural features to obtain the target station three-dimensional model, wherein the structural features include reference features, matrix features, engineering features and associated features.

[0023] Optionally, the data viewing method based on the station three-dimensional model, wherein the step of acquiring the device sensor data of the target station and fusing the device sensor data with the target station three-dimensional model to obtain a visualized target station three-dimensional model, specifically includes:

[0024] Determine a preset sensor detection database, and extract the device sensor data of the target station from the preset sensor detection database;

[0025] The three-dimensional station equipment corresponding to the device sensor data and the three-dimensional model of the target station is determined, and the device sensor data is imported into the three-dimensional station equipment to obtain a visualized three-dimensional model of the target station.

[0026] Optionally, in the data viewing method based on the station three-dimensional model, the target device information includes the current operating status and related historical attributes;

[0027] When receiving the device information viewing instruction, obtaining the target device information in the visualized target station three-dimensional model according to the device information viewing instruction, and visually displaying the target device information specifically includes:

[0028] When receiving a device information viewing instruction issued by a user, searching in the visualized target station three-dimensional model according to the device information viewing instruction to determine the target station device for which device information viewing is required;

[0029] The current operating status and the relevant historical attributes of the target site equipment are obtained, and the current operating status and the relevant historical attributes are visually displayed.

[0030] In addition, to achieve the above-mentioned purpose, the present invention further provides a data viewing system based on a three-dimensional model of a station, wherein the data viewing system based on a three-dimensional model of a station comprises:

[0031] A point cloud data preprocessing module is used to obtain three-dimensional point cloud data of a target station and preprocess the three-dimensional point cloud data to obtain target three-dimensional point cloud data;

[0032] A three-dimensional modeling processing module is used to perform three-dimensional modeling processing according to the target three-dimensional point cloud data to obtain a three-dimensional model of the target station;

[0033] A data fusion processing module is used to obtain the device sensor data of the target station, and fuse the device sensor data with the three-dimensional model of the target station to obtain a visualized three-dimensional model of the target station;

[0034] The visualization display module is used to obtain the target device information in the visualized target station three-dimensional model according to the device information viewing instruction when receiving the device information viewing instruction, and to visualize the target device information.

[0035] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and a data viewing program based on the three-dimensional model of the station stored in the memory and executable on the processor, and when the data viewing program based on the three-dimensional model of the station is executed by the processor, the steps of the data viewing method based on the three-dimensional model of the station are implemented as described above.

[0036] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a data viewing program based on the station three-dimensional model, and when the data viewing program based on the station three-dimensional model is executed by the processor, the steps of the data viewing method based on the station three-dimensional model as described above are implemented.

[0037] In the present invention, the three-dimensional point cloud data of the target station is obtained, and the three-dimensional point cloud data is preprocessed to obtain the target three-dimensional point cloud data; three-dimensional modeling is performed according to the target three-dimensional point cloud data to obtain the three-dimensional model of the target station; the device sensor data of the target station is obtained, and the device sensor data is fused with the three-dimensional model of the target station to obtain a visualized three-dimensional model of the target station; when a device information viewing instruction is received, the target device information in the visualized three-dimensional model of the target station is obtained according to the device information viewing instruction, and the target device information is visualized. The present invention obtains the three-dimensional point cloud data of the target station, constructs the three-dimensional model of the target station according to the three-dimensional point cloud data, and fuses the three-dimensional model of the target station with the device sensor data in the target station, so as to obtain the visualized three-dimensional model of the target station. Through the visualized three-dimensional model of the target station, the user can directly obtain the detailed information of any device in the target station and perform a visualized display, thereby realizing the remote management and control of the target station, and effectively improving the viewing efficiency of the station equipment information and the visual display effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a flow chart of a preferred embodiment of the data viewing method based on the station three-dimensional model of the present invention;

[0039] Figure 2 It is a structural diagram of a preferred embodiment of the data viewing system based on the station three-dimensional model of the present invention;

[0040] Figure 3 It is a structural diagram of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0042] With the continuous emergence and leapfrog development of new information technologies such as the Internet, Internet of Things, big data and cloud computing, the management model of traditional industrial fields has been greatly challenged. Due to the continuous expansion of production factor costs and labor costs in traditional industrial fields, enterprises need to consider how to achieve safe, sustainable production, operation, maintenance and management of sites at low cost, so as to quickly obtain basic data consistent with the actual status of the site.

[0043] However, existing enterprise site management systems generally use data reports and two-dimensional charts for viewing, which results in low viewing efficiency of site equipment information and poor visualization effects, and cannot meet user needs.

[0044] In order to solve the above problems, the present invention proposes a data viewing method based on a three-dimensional model of a station, which performs high-precision three-dimensional reconstruction of the target station based on three-dimensional real-scene replication technology, truly restores the site of the station and various auxiliary equipment, simulates the station operation process, and connects the attributes of the station equipment with the corresponding three-dimensional model to achieve three-dimensional query management of equipment attributes. By connecting the sensor data of the station equipment to the three-dimensional digital station software platform in real time, the viewing and display of the real-time data of the station equipment and facilities can be achieved. At the same time, by integrating and managing the operation data, the development of a three-dimensional digital station auxiliary decision-making platform can be achieved. By developing and constructing a three-dimensional auxiliary decision-making platform for the target station, the three-dimensional high-precision model of the station, the process flow, the real-time sensor data, the equipment attributes, and the operation management data can be integrated, so that the workflow of the target station can be intuitively displayed, and the remote management and control of the station equipment can be achieved, so as to effectively improve the operation management efficiency of the target station.

[0045] The data viewing method based on the station three-dimensional model described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the data viewing method based on the station three-dimensional model includes the following steps:

[0046] Step S10: Acquire the three-dimensional point cloud data of the target station, and pre-process the three-dimensional point cloud data to obtain the target three-dimensional point cloud data.

[0047] Among them, the target station includes process area data, three-dimensional terrain data and vector data within the station; the process area data within the station includes: office area data, tank area data, loading and unloading area data, gasification area data, bottling area data and other process areas; the three-dimensional terrain data includes superimposed station data, surrounding three-dimensional terrain data and three-dimensional building data; the vector data includes superimposed gas pipeline data and water pipeline data around the station and other urban lifeline data.

[0048] Furthermore, the three-dimensional laser scanning technology is used to obtain the corresponding three-dimensional point cloud data in the target station, such as the process area data, three-dimensional terrain data and vector data within the above-mentioned station, so as to accurately restore the physical distribution of the buildings and equipment of each station.

[0049] Specifically, the target station is determined, and the target station is subjected to three-dimensional laser scanning processing by three-dimensional laser scanning technology to obtain three-dimensional point cloud data; the three-dimensional point cloud data is spliced ​​by scanning splicing technology to obtain spliced ​​three-dimensional point cloud data; the noise data in the spliced ​​three-dimensional point cloud data is identified by a preset noise judgment method, and the noise data is removed to obtain denoised three-dimensional point cloud data; the denoised three-dimensional point cloud data is simplified by a K-nearest neighbor algorithm and a least squares surface fitting method to obtain target three-dimensional point cloud data. The preset noise judgment method includes any one of a direct inspection method, a curve inspection method, a chord height difference method, and a value limiting method.

[0050] The three-dimensional real scene modeling process of the gas station in the present invention includes field survey data collection, high-precision three-dimensional real scene model reconstruction, high-quality texture material mapping of buildings and equipment, etc. Among them, the specific content of the field survey data collection mainly includes: field survey data collection of station terrain, building appearance, vegetation, other corresponding ancillary facilities of the station, tank truck loading and unloading area, bottle filling area, gasification area, storage tank area, high pressure or sub-high pressure or medium pressure area, safety monitoring, fire fighting equipment and corresponding pipelines and other ancillary facilities.

[0051] The specific implementation process of field survey data collection is as follows: through field survey, the three-dimensional spatial data of the vehicle management area, pipeline area, pressure conversion area and office area of ​​each station are obtained, and the physical distribution of the buildings and equipment of each station is accurately restored, and the entity relationship between the buildings and equipment is described and reflected truthfully. Among them, for field survey data collection, data collection equipment (unmanned aerial vehicles are preferred) will be used in the present invention, using advanced unmanned aerial vehicles, high-precision laser radar modules, high-precision inertial navigation, mapping cameras, and three-axis gimbals and other modules to collect data on the overall information of each gas station, the building, and the top information of the equipment, so as to realize all-weather and high-efficiency real-time three-dimensional data acquisition and high-precision processing and reconstruction in complex scenes.

[0052] For the acquisition of three-dimensional point cloud data, the present invention uses advanced laser scanners (such as FARO S350) and its high-precision three-dimensional laser scanning technology to perform fine scanning on the equipment and equipment components at the ground end of each station to obtain three-dimensional point cloud data that is highly consistent with its appearance; FARO S350 integrates high-precision angle measurement function and distance measurement function, which can ensure the acquisition of high-quality three-dimensional point cloud data and results. It should be noted that the difference in the measurement range and measurement speed of the three-dimensional laser scanner has a great impact on the layout of the scanning site. When the scanning site is laid out, it is necessary to consider the complementarity between each site and the visibility between adjacent sites, and to ensure that the coverage of the site can cover the entire site. If the scanning site is not laid out reasonably, it is likely to cause incomplete data collection, resulting in missing data in the final constructed three-dimensional model of the site. Because the scanning area is relatively large, there may sometimes be many other objects (such as trees). In order to ensure the smooth progress of the scanning work, it is necessary to formulate the scanning range of each station according to the situation on site.

[0053] In order to better create a three-dimensional refined model, after obtaining the three-dimensional point cloud data of the gas station, it is necessary to preprocess the massive independent raw data. The preprocessing is mainly divided into three parts, namely point cloud stitching, point cloud denoising and point cloud simplification.

[0054] For the point cloud stitching process, due to the generally large area of ​​the site and the characteristics of the laser scanner itself, the existing 3D laser scanner cannot collect complete workshop point cloud data with only one scan. Therefore, the present invention adopts multi-station scanning stitching technology to achieve rapid acquisition of site point cloud data. Based on the stitching algorithm of point cloud data, accurate stitching of multi-station scanning data is achieved to obtain complete site 3D point cloud data (i.e., the stitched 3D point cloud data in the present invention).

[0055] For the denoising process of point cloud data: Before 3D modeling, the noise points in the spliced ​​3D point cloud data need to be processed to prevent the noise points from having a negative impact on the modeling. Before that, the noise points need to be judged. The commonly used judgment methods are: direct inspection method, curve inspection method, chord height difference method and value limitation method. After the noise points are identified, the noise points in the point cloud data are removed to obtain denoised 3D point cloud data.

[0056] Simplification of point cloud data: Based on the K-nearest neighbor algorithm, the algorithm used is a combination of the least squares surface fitting method, which can simplify the actual industrial steel structure point cloud data. In addition, the experimental data results show that this point cloud preprocessing algorithm has a relatively good simplification effect.

[0057] Furthermore, the present invention will also collect the image data and texture information of the site: using a high-precision SLR camera, take pictures of each site equipment, obtain its appearance texture, and build an equipment texture library for later monomer modeling and processing. When collecting on-site image data, the following conditions need to be met: 1. Choose weather with relatively soft and uniform light, shoot at a straight-on angle, and avoid shooting against the light; 2. Choose the early morning as the best shooting period, because there are fewer cars, pedestrians, and dust at this time, the light is uniform, and the image quality is better; 3. Do not shoot in a too dark environment. When it is close to dusk and the light is dim, you need to choose another time to work, and stop shooting after 4:00 p.m.; 4. After taking a few pictures, check them in time, and if you find that the pictures are blurred or the angle is not good, take them again in time; 5. For shooting and recording content, due to strong light, avoid shooting in the time period of 11:40-13:00 at noon. When shooting in cloudy weather, pay attention to the visibility. The shooting process adopts the principle of shooting the whole first and then the part, and try to shoot all the front faces of the object. 6. The perspective angle should be reasonable. If the ideal angle cannot be achieved, you can also shoot at a different angle to ensure the integrity of each view of a single device. 7. Local features should be clear. The angle between the panoramic view and the lens should be within 45 degrees horizontally, and the features should be within ±25 degrees vertically. Try to avoid the influence of the color of the environment on the color of the object being photographed, and there should be no color cast. For example: dawn, dusk, and strong light.

[0058] Because the amount of data from the photos taken at the station is large, it is necessary to add tags to the photos and classify them in time. During the shooting process, the photos will be taken in sequence according to the path planned in the early stage. In addition, the collection of image and texture information will be completed in accordance with the following seven requirements: 1. Try to shoot the front elevation of the collection object; 2. All objects within the specified range of the target station must be collected; 3. Determine the details that need to be shown in the photo according to the models of different detail levels; 4. Take representative surface images and produce reusable texture data; 5. Take surface images in all directions of the station. Among them, for surfaces with repeated units, local feature textures need to be photographed. For surfaces without repeated units, the complete surface needs to be photographed. For surfaces with complex structures or surfaces that cannot be photographed directly, multi-angle photography should be performed and spliced ​​using image processing software.

[0059] Step S20: Perform three-dimensional modeling processing based on the target three-dimensional point cloud data to obtain a three-dimensional model of the target station.

[0060] After obtaining the target 3D point cloud data after preprocessing, professional 3D modeling software can be used to construct a 3D model of the target station based on the target 3D point cloud data.

[0061] Specifically, a point cloud fitting modeling method is used to obtain multiple three-dimensional curves in the target three-dimensional point cloud data, and multiple three-dimensional surfaces are created based on the multiple three-dimensional curves; the multiple three-dimensional surfaces are reprocessed to obtain an initial station three-dimensional model, wherein the reprocessing includes stretching processing, lofting processing and shear scanning processing; structural features in the target station are obtained, and the initial station three-dimensional model is optimized according to the structural features to obtain a target station three-dimensional model, wherein the structural features include reference features, matrix features, engineering features and associated features.

[0062] When creating the overall scene of the gas station, first use the 3dmax modeling software to establish the required curves based on the basic outline of the point cloud surface data in the target three-dimensional point cloud data, and then create surfaces based on multiple curves. Combine the positions and shapes of multiple surfaces, and use operations such as stretching, lofting, and shear scanning to establish a preliminary solid model. After that, by referring to the image data and the relevant design standards of the station equipment, complete the refinement of the structural unit or equipment monomer and create a refined three-dimensional solid model. In order to make the model more realistic in appearance, the collected image data needs to be processed and fitted to the model surface to achieve a realistic appearance.

[0063] It is understandable that the present invention needs to obtain fast and high-precision modeling of structural features commonly found in field equipment, such as stretching features, rotational features, and sweeping features.

[0064] According to the analysis of the characteristics of the structural parts of the station equipment, the features contained in it can be divided into two categories according to the feature modeling and engineering perspectives: features unrelated to the shape and features related to the shape. The first type of features (features unrelated to the shape) can be divided into solid features and surface features. Among them, solid features can be divided into four categories: datum features, base features, engineering features and associated features. Among them, datum features refer to reference elements used for positioning when features or assembling, including datum points, datum axes and datum planes. Datum features are mainly used to assist the creation of other features, and the reconstruction method varies depending on the type of features they assist; base features refer to features generated on the basis of two-dimensional contour features, including stretch features, rotation features, sweep features and lofting features. Engineering features refer to features that are closely related to engineering applications, including fillet features, chamfer features, reinforcement features and hollowing features. Associated features (also known as symmetric features) refer to features obtained by operating existing features (such as copying, moving, rotating, etc.), including array features and mirror features. Surface features include regular surface features and free-form surface features.

[0065] It is understandable that the present invention uses professional 3D modeling software to perform high-precision modeling on the equipment features not covered in the first step, and finally constructs a complete high-precision gas station model (i.e., the target station 3D model in the present invention) that is one-to-one with the real scene based on high-quality point cloud data, which can display the station equipment and the surrounding terrain environment. At the same time, the 3D model is divided into different display levels, and the model structure and texture are comprehensively optimized, so that a large number of fine 3D models can be loaded into the scene.

[0066] Furthermore, after obtaining a high-precision gas station model (i.e., the target station three-dimensional model in the present invention), the present invention also sets up a texture mapping process: the three-dimensional model includes two parts, geometry and texture. In order to enhance the visualization effect of the model and facilitate the identification of management personnel, the model needs to be texture mapped. By parameterizing the model and accurately accessing the texture and nameplate information of the station equipment based on the precise digital model and the photo data of the station equipment, the texture pixel size can be matched with the geometric surface, and the model can have relevant attributes and a good visual experience.

[0067] Step S30: Acquire the device sensor data of the target station, and fuse the device sensor data with the three-dimensional model of the target station to obtain a visualized three-dimensional model of the target station.

[0068] In order to integrate precise digital model technology and auxiliary decision-making technology, integrate equipment information (including attributes, operating status, etc.) data, realize auxiliary decision-making for daily management, thematic analysis of specific business scenarios, and digital presentation of virtual reality, and at the same time be able to more intuitively manage data visualization process and more efficiently utilize the constructed three-dimensional model, the present invention needs to use data model integration technology to merge management data with the model.

[0069] After obtaining an accurate three-dimensional digital model, the present invention realizes comprehensive management and visual analysis of business data by accessing and integrating the monitoring data of the Internet of Things sensors of the station, which can effectively assist the management work of the station.

[0070] Process flow performance: The present invention uses real 3D to restore the station, creates 3D staff at the station's work position, and truly simulates the station operation scene. The station process link information mark prompt, click the mark prompt to call up the real video, or call up the 3D animation to play this process in a loop. By simulating the process flow and key actions of equipment production of the station and displaying them in the form of animation, users can quickly display the process of each station operation. At the same time, in-depth development is carried out for special station equipment, and the equipment data is integrated with the three-dimensional model, which can realize the linkage and control of the three-dimensional model with the actual station equipment on site, so as to display the real-time operation data of the on-site equipment. For example, during the leadership inspection and new employee training, the traditional production process relies on document information and personnel oral explanation, which cannot be very intuitive and vivid to show the whole process. The present invention supports the production process under these traditional forms of expression to be visualized and dynamically displayed in a three-dimensional scene, and can adjust the best viewing angle and orientation in real time, such as material transportation process, smelting process, ventilation and transmission pipeline, etc., so that leaders and new employees can quickly understand and query the working situation of the entire station. The present invention establishes a new generation of intelligent station simulation platform with three-dimensional visualization, provides models and process references for the construction of intelligent stations, and lays a solid foundation for data-driven intelligent manufacturing.

[0071] Specifically, a preset sensor detection database is determined, and the equipment sensor data of the target station is extracted from the preset sensor detection database; the three-dimensional station equipment corresponding to the equipment sensor data and the three-dimensional model of the target station is determined, and the equipment sensor data is imported into the three-dimensional station equipment to obtain a visualized three-dimensional model of the target station.

[0072] The present invention obtains the real-time machine status information, process information and pipeline information of the equipment in the station. The real-time machine status information includes the temperature of key positions and production volume of the station equipment; the real-time process information mainly includes the equipment production progress and process flow; the real-time pipeline information includes the flow, temperature, valve information and flow direction of the station pipeline. Based on the precise digital model, the relevant attributes and status information of the station equipment are accessed to assist in completing the attributes and status of the equipment, production process and pipeline management.

[0073] The present invention has a real-time data display function: the IoT sensor data in the station equipment is associated with the three-dimensional scene, and real-time data is displayed on the three-dimensional sensor model to achieve three-dimensional visualization of dynamic data, providing support for the business management function of the system. The detection data sent back by the sensor is read from the database, and is constantly drawn above the instruments and sensors in the three-dimensional scene. The equipment operation status is constantly monitored, and warnings are issued when the preset value is exceeded. Through this function, users can check the production status of the entire station, and the installation changes of the station equipment will also be truly reflected and expressed in the three-dimensional scene.

[0074] The present invention comprehensively utilizes three-dimensional information mapping, virtual reality, geographic information system and other technical means to objectively, accurately and completely record the three-dimensional scene of the real station, and present it in an interactive and manageable way, so as to provide more powerful data support and important auxiliary tools for optimizing monitoring, equipment, personnel management and other tasks, expand factory operation and maintenance and display applications to a deeper level, provide basic service support for professional applications such as factory production management, scheduling management, operation and inspection management, disaster prevention and mitigation, and emergency command, effectively expand the service scope and improve service quality.

[0075] Step S40: When a device information viewing instruction is received, the target device information in the visualized target station three-dimensional model is obtained according to the device information viewing instruction, and the target device information is visualized; the target device information includes the current operating status and related historical attributes.

[0076] After building a visual three-dimensional model of the target station, users can click on the equipment in the high-precision three-dimensional model to display real-time data such as temperature, pressure, and flow on the corresponding instruments and monitoring equipment. They can also view, count, and analyze historical data of the equipment in the clicked location.

[0077] Specifically, when a device information viewing instruction issued by the user is received, a search is performed in the visualized target station three-dimensional model according to the device information viewing instruction to determine the target station device for which device information viewing is required; the current operating status and the related historical attributes of the target station device are obtained, and the current operating status and the related historical attributes are visualized and displayed.

[0078] Property query: In the 3D station scene, you can click on various objects to query their properties, including building information query, ancillary facilities query and energy consumption query. You can query the operating status and related historical properties of important equipment in the station to understand the operating status of the station equipment.

[0079] In summary, the present invention can perform high-precision three-dimensional reconstruction of the station based on the three-dimensional real-scene replication technology, truly restore the site of the station and various ancillary equipment, and link the attributes of the station equipment with the corresponding three-dimensional model to achieve three-dimensional query management of equipment attributes. By connecting the sensor data of the station equipment to the three-dimensional digital software platform in real time, the viewing and display of real-time data of equipment and facilities is realized.

[0080] Furthermore, if Figure 2 As shown, based on the above-mentioned data viewing method based on the station three-dimensional model, the present invention also provides a data viewing system based on the station three-dimensional model, wherein the data viewing system based on the station three-dimensional model includes:

[0081] The point cloud data preprocessing module 51 is used to obtain the three-dimensional point cloud data of the target station and preprocess the three-dimensional point cloud data to obtain the target three-dimensional point cloud data;

[0082] A three-dimensional modeling processing module 52 is used to perform three-dimensional modeling processing according to the target three-dimensional point cloud data to obtain a three-dimensional model of the target station;

[0083] A data fusion processing module 53 is used to obtain the device sensor data of the target station, and fuse the device sensor data with the three-dimensional model of the target station to obtain a visualized three-dimensional model of the target station;

[0084] The visualization display module 54 is used to, when receiving a device information viewing instruction, obtain the target device information in the visualized target station three-dimensional model according to the device information viewing instruction, and visualize the target device information.

[0085] Furthermore, if Figure 3 As shown, based on the above-mentioned data viewing method and system based on the station three-dimensional model, the present invention also provides a terminal accordingly, and the terminal includes a processor 10, a memory 20 and a display 30. Figure 3 Only some components of the terminal are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0086] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, a data viewing program 40 based on a three-dimensional model of a station is stored on the memory 20, and the data viewing program 40 based on a three-dimensional model of a station can be executed by the processor 10, thereby realizing the data viewing method based on a three-dimensional model of a station in the present application.

[0087] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 20, such as executing the data viewing method based on the station three-dimensional model.

[0088] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 30 is used to display information on the terminal and to display a visual user interface.

[0089] In one embodiment, when the processor 10 executes the data viewing program 40 based on the station three-dimensional model in the memory 20, the steps of the data viewing method based on the station three-dimensional model as described above are implemented.

[0090] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a data viewing program based on a station three-dimensional model, and when the data viewing program based on the station three-dimensional model is executed by a processor, the steps of the data viewing method based on the station three-dimensional model as described above are implemented.

[0091] In summary, the present invention provides a data viewing method, system and terminal based on a three-dimensional model of a station, the method comprising: obtaining three-dimensional point cloud data of a target station, and preprocessing the three-dimensional point cloud data to obtain target three-dimensional point cloud data; performing three-dimensional modeling processing according to the target three-dimensional point cloud data to obtain a three-dimensional model of the target station; obtaining device sensor data of the target station, and fusing the device sensor data with the three-dimensional model of the target station to obtain a visualized three-dimensional model of the target station; when receiving a device information viewing instruction, obtaining the target device information in the visualized three-dimensional model of the target station according to the device information viewing instruction, and visually displaying the target device information. The present invention obtains the three-dimensional point cloud data of the target station, constructs a three-dimensional model of the target station according to the three-dimensional point cloud data, and fuses the three-dimensional model of the target station with the device sensor data in the target station, so as to obtain a visualized three-dimensional model of the target station. Through the visualized three-dimensional model of the target station, the user can directly obtain detailed information of any device in the target station and perform a visual display, thereby realizing remote management and control of the target station, and effectively improving the viewing efficiency and visual display effect of the station equipment information.

[0092] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or terminal including the element.

[0093] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0094] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A data viewing method based on a station three-dimensional model, characterized in that: The data viewing method based on the station three-dimensional model includes: Acquire three-dimensional point cloud data of the target station, and pre-process the three-dimensional point cloud data to obtain target three-dimensional point cloud data; Performing three-dimensional modeling processing according to the target three-dimensional point cloud data to obtain a three-dimensional model of the target station; Acquire device sensor data of the target station, and fuse the device sensor data with the three-dimensional model of the target station to obtain a visualized three-dimensional model of the target station; When a device information viewing instruction is received, the target device information in the visualized target station three-dimensional model is acquired according to the device information viewing instruction, and the target device information is visualized and displayed.

2. The data viewing method based on the station three-dimensional model according to claim 1 is characterized in that: The step of acquiring the three-dimensional point cloud data of the target station and preprocessing the three-dimensional point cloud data to obtain the target three-dimensional point cloud data specifically includes: Determine the target station, and use the 3D laser scanning technology to perform 3D laser scanning processing on the target station to obtain 3D point cloud data; The three-dimensional point cloud data is preprocessed to obtain target three-dimensional point cloud data, wherein the preprocessing includes point cloud stitching processing, point cloud denoising processing and point cloud simplification processing.

3. The data viewing method based on the station three-dimensional model according to claim 2 is characterized in that: The preprocessing of the three-dimensional point cloud data to obtain target three-dimensional point cloud data specifically includes: The three-dimensional point cloud data is spliced ​​by using a scanning splicing technology to obtain spliced ​​three-dimensional point cloud data; Using a preset noise determination method to identify noise data in the spliced ​​three-dimensional point cloud data, and removing the noise data to obtain denoised three-dimensional point cloud data; The denoised three-dimensional point cloud data is simplified by using a K-nearest neighbor algorithm and a least squares surface fitting method to obtain target three-dimensional point cloud data.

4. The data viewing method based on the station three-dimensional model according to claim 3 is characterized in that: The preset noise determination method includes any one of a direct inspection method, a curve inspection method, a chord height difference method, and a value limitation method.

5. The data viewing method based on the station three-dimensional model according to claim 1 is characterized in that: The three-dimensional modeling process is performed according to the target three-dimensional point cloud data to obtain a three-dimensional model of the target station, specifically including: A point cloud fitting modeling method is used to obtain a plurality of three-dimensional curves in the target three-dimensional point cloud data, and a plurality of three-dimensional surfaces are created according to the plurality of three-dimensional curves; Reprocessing the plurality of three-dimensional curved surfaces to obtain an initial three-dimensional model of the station, wherein the reprocessing includes stretching processing, lofting processing, and shear scanning processing; Structural features in the target station are acquired, and the initial station three-dimensional model is optimized according to the structural features to obtain the target station three-dimensional model, wherein the structural features include reference features, matrix features, engineering features and associated features.

6. The data viewing method based on the station three-dimensional model according to claim 1 is characterized in that: The acquiring of the device sensor data of the target station and fusing the device sensor data with the three-dimensional model of the target station to obtain a visualized three-dimensional model of the target station specifically includes: Determine a preset sensor detection database, and extract the device sensor data of the target station from the preset sensor detection database; The three-dimensional station equipment corresponding to the device sensor data and the three-dimensional model of the target station is determined, and the device sensor data is imported into the three-dimensional station equipment to obtain a visualized three-dimensional model of the target station.

7. The data viewing method based on the station three-dimensional model according to claim 1 is characterized in that: The target device information includes the current operating status and related historical attributes; When receiving the device information viewing instruction, obtaining the target device information in the visualized target station three-dimensional model according to the device information viewing instruction, and visually displaying the target device information specifically includes: When receiving a device information viewing instruction issued by a user, searching in the visualized target station three-dimensional model according to the device information viewing instruction to determine the target station device for which device information viewing is required; The current operating status and the relevant historical attributes of the target site equipment are obtained, and the current operating status and the relevant historical attributes are visually displayed.

8. A data viewing system based on a station three-dimensional model, characterized in that: The data viewing system based on the station three-dimensional model includes: A point cloud data preprocessing module is used to obtain three-dimensional point cloud data of a target station and preprocess the three-dimensional point cloud data to obtain target three-dimensional point cloud data; A three-dimensional modeling processing module is used to perform three-dimensional modeling processing according to the target three-dimensional point cloud data to obtain a three-dimensional model of the target station; A data fusion processing module is used to obtain the device sensor data of the target station, and fuse the device sensor data with the three-dimensional model of the target station to obtain a visualized three-dimensional model of the target station; The visualization display module is used to obtain the target device information in the visualized target station three-dimensional model according to the device information viewing instruction when receiving the device information viewing instruction, and to visualize the target device information.

9. A terminal, characterized in that: The terminal includes: a memory, a processor, and a data viewing program based on a three-dimensional model of a station stored in the memory and executable on the processor. When the data viewing program based on a three-dimensional model of a station is executed by the processor, the steps of the data viewing method based on a three-dimensional model of a station are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a data viewing program based on a station three-dimensional model, and when the data viewing program based on a station three-dimensional model is executed by a processor, the steps of the data viewing method based on a station three-dimensional model as described in any one of claims 1-7 are implemented.

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