Emergency processing method, system and terminal based on three-dimensional model of gas station

Abstract

The invention discloses an emergency processing method, system and terminal based on a three-dimensional model of a gas station, and the method comprises the steps: obtaining the three-dimensional point cloud data of a target gas station, and carrying out the preprocessing and three-dimensional modeling processing, and obtaining a three-dimensional model of the target gas station; acquiring equipment sensing data of the target gas station, and performing fusion processing on the equipment sensing data and the three-dimensional model of the target gas station to obtain a visual three-dimensional model of the target gas station; when the abnormal alarm data is detected, determining an abnormal alarm device and a disaster deduction result according to the abnormal alarm data; and obtaining a target emergency plan corresponding to the disaster situation deduction result, performing emergency processing on the abnormal alarm equipment according to the target emergency plan, and displaying the emergency processing process on the visual target gas station three-dimensional model. According to the method, the visual target gas station three-dimensional model is constructed, so that the processing efficiency of the alarm information in the gas station can be effectively improved, and the normal operation of the gas station is ensured.

Description

Technical Field

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

[0002] City gas safety is an important part of city safety. For city gas, safety accidents such as gas leakage and explosion will not only cause serious losses to enterprises, but also bring many negative impacts on social and economic development. As an important part of city gas safety, the emergency treatment of gas pipelines is related to the normal operation of the pipeline network.

[0003] However, existing gas station management systems generally use data reports and two-dimensional charts for reference, which results in low efficiency in viewing gas station equipment information and poor visualization, making it impossible to process alarm data in a timely manner, affecting the normal operation of gas station equipment.

[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 an emergency response method, system, terminal and computer-readable storage medium based on a three-dimensional model of a gas station, aiming to solve the problem that the gas station management system in the prior art generally uses data reports and two-dimensional charts for reference, resulting in low efficiency in viewing gas station equipment information and poor visualization effect, and unable to process alarm data in a timely manner, affecting the normal operation of the gas station equipment.

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

[0007] Acquire three-dimensional point cloud data of a target gas station, and perform preprocessing and three-dimensional modeling on the three-dimensional point cloud data to obtain a three-dimensional model of the target gas station;

[0008] Acquire the equipment sensor data of the target gas station, and fuse the equipment sensor data with the three-dimensional model of the target gas station to obtain a visualized three-dimensional model of the target gas station;

[0009] When abnormal alarm data is detected, the abnormal alarm device and the disaster deduction result are determined according to the abnormal alarm data;

[0010] Obtain a target emergency plan corresponding to the disaster simulation result, perform emergency processing on the abnormal alarm equipment according to the target emergency plan, and display the emergency processing process on the visualized target gas station three-dimensional model.

[0011] Optionally, the emergency response method based on the three-dimensional model of the gas station, wherein the three-dimensional point cloud data of the target gas station is obtained, and the three-dimensional point cloud data is preprocessed and three-dimensional modeled to obtain the three-dimensional model of the target gas station, specifically includes:

[0012] Determine a target gas station, and use a three-dimensional laser scanning technology to perform three-dimensional laser scanning processing on the target gas station to obtain three-dimensional point cloud data;

[0013] Preprocessing the three-dimensional point cloud data 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] A three-dimensional modeling process is performed based on the target three-dimensional point cloud data to obtain a three-dimensional model of the target gas station.

[0015] Optionally, the emergency handling method based on the three-dimensional model of the gas station, wherein the preprocessing of the three-dimensional point cloud data to obtain target three-dimensional point cloud data specifically includes:

[0016] The three-dimensional point cloud data is spliced ​​by using a scanning splicing technology to obtain spliced ​​three-dimensional point cloud data;

[0017] 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;

[0018] 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.

[0019] Optionally, the emergency response method based on the three-dimensional model of the gas station, wherein the three-dimensional modeling processing is performed according to the target three-dimensional point cloud data to obtain the three-dimensional model of the target gas station, 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 gas station are acquired, and the initial station three-dimensional model is optimized according to the structural features to obtain a target gas station three-dimensional model, wherein the structural features include reference features, matrix features, engineering features and associated features.

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

[0024] Determine a preset sensor detection database, and extract the equipment sensor data of the target gas 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 gas 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 gas station.

[0026] Optionally, the emergency handling method based on the three-dimensional model of the gas station, wherein when abnormal alarm data is detected, the abnormal alarm device and the disaster deduction result are determined according to the abnormal alarm data, specifically including:

[0027] Performing real-time monitoring on the gas station equipment in the target gas station, and when the station equipment data corresponding to the gas station equipment exceeds a preset threshold, determining that the gas station equipment is an abnormal alarm equipment;

[0028] Acquire abnormal alarm data corresponding to the abnormal alarm device, and perform disaster deduction according to the abnormal alarm data to obtain a disaster deduction result;

[0029] The abnormal alarm equipment and the disaster simulation result are holographically displayed on the three-dimensional model of the visualized target gas station.

[0030] Optionally, the emergency response method based on the three-dimensional model of the gas station, wherein the target emergency plan corresponding to the disaster simulation result is obtained, the abnormal alarm device is emergency-handled according to the target emergency plan, and the emergency response process is displayed on the visualized target gas station three-dimensional model, specifically comprising:

[0031] Determine a preset emergency database, and match the disaster simulation result with the preset emergency database to obtain a target emergency plan corresponding to the disaster simulation result;

[0032] Perform emergency processing on the abnormal alarm device according to the target emergency plan to obtain an emergency processing process;

[0033] The emergency handling process is holographically displayed on the visualized target gas station three-dimensional model, so that the staff can obtain the emergency handling status of the abnormal alarm equipment in real time.

[0034] In addition, to achieve the above-mentioned purpose, the present invention further provides an emergency treatment system based on a three-dimensional model of a gas station, wherein the emergency treatment system based on a three-dimensional model of a gas station comprises:

[0035] A data preprocessing and three-dimensional modeling processing module is used to obtain three-dimensional point cloud data of a target gas station, and perform preprocessing and three-dimensional modeling processing on the three-dimensional point cloud data to obtain a three-dimensional model of the target gas station;

[0036] A data fusion processing module is used to obtain the equipment sensor data of the target gas station, and fuse the equipment sensor data with the three-dimensional model of the target gas station to obtain a visualized three-dimensional model of the target gas station;

[0037] An abnormal alarm data detection module is used to determine abnormal alarm equipment and disaster deduction results according to the abnormal alarm data when abnormal alarm data is detected;

[0038] The emergency processing module is used to obtain the target emergency plan corresponding to the disaster simulation result, perform emergency processing on the abnormal alarm equipment according to the target emergency plan, and display the emergency processing process on the visualized target gas station three-dimensional model.

[0039] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and an emergency handling program based on the three-dimensional model of the gas station stored in the memory and executable on the processor, wherein the emergency handling program based on the three-dimensional model of the gas station, when executed by the processor, implements the steps of the emergency handling method based on the three-dimensional model of the gas station as described above.

[0040] 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 an emergency handling program based on the three-dimensional model of the gas station, and when the emergency handling program based on the three-dimensional model of the gas station is executed by the processor, the steps of the emergency handling method based on the three-dimensional model of the gas station as described above are implemented.

[0041] In the present invention, the three-dimensional point cloud data of the target gas station is obtained, and the three-dimensional point cloud data is preprocessed and three-dimensionally modeled to obtain the three-dimensional model of the target gas station; the equipment sensor data of the target gas station is obtained, and the equipment sensor data is fused with the three-dimensional model of the target gas station to obtain a visualized three-dimensional model of the target gas station; when abnormal alarm data is detected, the abnormal alarm equipment and the disaster simulation result are determined according to the abnormal alarm data; the target emergency plan corresponding to the disaster simulation result is obtained, the abnormal alarm equipment is emergency processed according to the target emergency plan, and the emergency processing process is displayed on the visualized three-dimensional model of the target gas station. The present invention obtains the three-dimensional point cloud data of the target gas station, constructs the three-dimensional model of the target gas station according to the three-dimensional point cloud data, and fuses the three-dimensional model of the target gas station with the equipment sensor data in the target gas station, so as to obtain a visualized three-dimensional model of the target gas station. By visualizing the three-dimensional model of the target gas station, the abnormal alarm equipment in the gas station and the emergency handling process of handling the abnormal alarm equipment can be displayed in real time on the visualized three-dimensional model of the target gas station, which can help the staff to promptly discover the abnormal equipment in the gas station and predict the possible disaster consequences. It can further automatically match the emergency plan for handling the abnormal alarm equipment and the disaster consequences, which can effectively improve the processing efficiency of the alarm information in the gas station and ensure the normal operation of the gas station. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flow chart of a preferred embodiment of the emergency treatment method based on the three-dimensional model of the gas station of the present invention;

[0043] Figure 2 It is a structural diagram of a preferred embodiment of the emergency treatment system based on the three-dimensional model of the gas station of the present invention;

[0044] Figure 3 It is a structural diagram of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] City gas safety is an important part of city safety. For city gas, safety accidents such as gas leakage and explosion will not only cause serious losses to enterprises, but also bring many negative impacts on social and economic development. As an important part of city gas safety, the emergency treatment of gas pipelines is related to the normal operation of the pipeline network.

[0047] However, existing gas station management systems generally use data reports and two-dimensional charts for reference, which results in low efficiency in viewing gas station equipment information and poor visualization, making it impossible to process alarm data in a timely manner, affecting the normal operation of gas station equipment.

[0048] In order to solve the above problems, the present invention proposes an emergency response method based on a three-dimensional model of a gas station, which performs high-precision three-dimensional reconstruction of the target gas 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 realized. At the same time, by integrating management and operation data, the development of a three-dimensional digital station auxiliary decision-making platform can be realized. By developing and constructing a three-dimensional auxiliary decision-making platform for the target gas 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 are integrated, and the workflow of the target gas station can be intuitively displayed, and the corresponding abnormal alarm equipment can be quickly confirmed according to the abnormal data appearing in the gas station, and the disaster situation can be simulated. At the same time, the corresponding emergency plan can be directly matched according to the results of the disaster simulation. The abnormal alarm equipment can be processed according to the emergency plan, which effectively improves the processing efficiency of alarm information in the gas station and ensures the normal operation of the gas station.

[0049] The emergency treatment method based on the three-dimensional model of the gas station described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the emergency treatment method based on the three-dimensional model of the gas station includes the following steps:

[0050] Step S10, obtaining the three-dimensional point cloud data of the target gas station, and performing preprocessing and three-dimensional modeling on the three-dimensional point cloud data to obtain a three-dimensional model of the target gas station. The preprocessing includes point cloud splicing, point cloud denoising and point cloud simplification.

[0051] Among them, the target gas 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.

[0052] Furthermore, the three-dimensional laser scanning technology is used to obtain the corresponding three-dimensional point cloud data in the target gas 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.

[0053] Specifically, the target gas station is determined, and the target gas 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 limitation method.

[0054] The three-dimensional real scene modeling process of the target 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.

[0055] 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.

[0056] For the acquisition of three-dimensional point cloud data, the present invention uses advanced laser scanners (such as FARO S350) and 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 arranging the scanning site, 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 arranged 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.

[0057] 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.

[0058] 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).

[0059] 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.

[0060] 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.

[0061] 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.

[0062] 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 gas 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, the surface with repeated units needs to shoot local feature textures. 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 shooting should be carried out and splicing should be performed using image processing software.

[0063] After obtaining the target three-dimensional point cloud data after preprocessing, professional three-dimensional modeling software can be used to construct a three-dimensional model of the target gas station based on the target three-dimensional point cloud data.

[0064] 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 gas station are obtained, and the initial station three-dimensional model is optimized according to the structural features to obtain a target gas station three-dimensional model, wherein the structural features include reference features, matrix features, engineering features and associated features.

[0065] 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.

[0066] 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.

[0067] 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.

[0068] It is understandable that the present invention uses professional 3D modeling software for high-precision modeling, and finally constructs a complete high-precision gas station model (i.e., the target gas 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.

[0069] Furthermore, after obtaining a high-precision gas station model (i.e., the target gas station three-dimensional model in the present invention), the present invention also sets 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.

[0070] The present invention establishes a dynamic three-dimensional model of the target gas station to simulate the process route, flow speed, name and attribute parameters of the equipment flowing through, and key production actions of the equipment in each station, and displays it visually and dynamically through animation.

[0071] Step S20: Acquire the equipment sensor data of the target gas station, and fuse the equipment sensor data with the three-dimensional model of the target gas station to obtain a visualized three-dimensional model of the target gas station.

[0072] 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.

[0073] After obtaining an accurate three-dimensional digital model (i.e., the three-dimensional model of the target gas station in the present invention), 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 of the station.

[0074] 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.

[0075] Specifically, a preset sensor detection database is determined, and equipment sensor data of the target gas 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 gas 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 gas station.

[0076] After obtaining the visualized 3D model of the target gas station, pipeline query can be performed through the visualized 3D model of the target gas station, where pipeline query includes: attribute query, box selection query, keyword query, pipe diameter query, point property query, material query and basic query. It has strong data retrieval capabilities and provides a variety of query methods, including but not limited to query based on station structure, wildcard fuzzy search, full-text search, combined query and precise query, etc. The queried 3D model, spatial information and business data can be highlighted and located.

[0077] The present invention can obtain the real-time machine status information, process information and pipeline information of the equipment in the gas station, among which the real-time machine status information includes the temperature and production volume of the key positions of the station equipment, etc.; the real-time process information mainly includes the equipment production progress and process flow, etc.; the real-time pipeline information includes the flow, temperature, valve information and flow direction of the station pipeline, etc. 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.

[0078] 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 gas station management system. The detection data sent back by the sensor in real time is read from the database, and drawn in real time above the instruments and sensors in the three-dimensional scene, and the operating status of the equipment is monitored in real time, and warnings are issued when the preset value is exceeded. Through this function, users can check the production status of the entire gas station. In addition, the installation changes of the station equipment will also be truly reflected and expressed in the three-dimensional scene.

[0079] The present invention achieves a real-time display effect by acquiring real-time data in the production process and importing the real-time data into the simulated dynamic three-dimensional model through coding mapping. The real-time data includes real-time data such as temperature, pressure, flow, etc. in instruments and monitoring equipment.

[0080] Through the associated database, the gas station management system can review and query the monitoring and alarm data of the concerned area in real time. The system supports multiple query methods such as time, equipment and facilities, keywords, fuzzy conditions and advanced condition matching combinations, which fully meets the query needs of users at all levels and is conducive to storage, updating and maintenance. It avoids the phenomenon of data information islands and untimely updating and maintenance, truly improves the level of enterprise information office, facilitates enterprises to quickly analyze massive data and determine trends, and improves office efficiency; at the same time, the system can also support downloading, editing, printing and other functions for the queried results, and can interact with three-dimensional scenes for browsing and display, giving full play to the platform's three-dimensional visualization and interconnection functions.

[0081] In summary, the present invention utilizes technical means such as three-dimensional information mapping, virtual reality, and geographic information system to objectively, accurately, and completely record the three-dimensional scene of the real gas station, and present it in an interactive and manageable manner, thereby providing more powerful data support and important auxiliary tools for optimizing monitoring, equipment, personnel management, and other tasks, expanding factory operation and maintenance and display applications to a deeper level, and providing 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 expanding the service scope and improving service quality.

[0082] Step S30: When abnormal alarm data is detected, the abnormal alarm device and the disaster simulation result are determined according to the abnormal alarm data.

[0083] The present invention is provided with a status acquisition device, which can collect the equipment operation status in real time and send the collected equipment operation status to the simulation software. The model status of the three-dimensional model of the target gas station in the simulation software is updated in real time, and the data is consistent with the movement of the real equipment, which can realize the monitoring of the actual operation status of the workshop equipment.

[0084] After building a visualized three-dimensional model of the target gas 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.

[0085] In the 3D scene, when a device fails and an alarm occurs, the system collects the alarm information and lists the alarm device information. When you click on the alarm information, you will automatically be positioned at the device, and you can quickly view the device's alarm status, and a striking alarm label will be displayed at the alarm device.

[0086] When the security monitoring module in the gas station system detects that the data peak exceeds the warning peak, intelligent emergency processing is carried out according to the medium, high and low risks set in the warning, and corresponding accusation commands are issued in a timely manner, such as automatic alarms to relevant units, automatic power and gas cuts, etc., and coordination is carried out according to the actual operating conditions of the gas station. When there is danger, routes are planned in time for personnel to evacuate, so as to minimize the losses of the gas station and ensure the personal safety of the staff.

[0087] Specifically, the gas station equipment in the target gas station is monitored in real time, and when the station equipment data corresponding to the gas station equipment exceeds a preset threshold, the gas station equipment is determined to be an abnormal alarm device; the abnormal alarm data corresponding to the abnormal alarm device is obtained, and a disaster simulation is performed based on the abnormal alarm data to obtain a disaster simulation result; the abnormal alarm equipment and the disaster simulation result are holographically displayed on the visualized three-dimensional model of the target gas station.

[0088] The present invention models the leakage detection equipment in the gas station. When the real-time recorded station equipment data is abnormal, an alarm prompt will be issued and the leakage position will be located with one click. At the same time, intelligent emergency treatment is carried out according to the medium, high and low risks set by the alarm prompt, and a work order is automatically created according to the alarm prompt and distributed to the corresponding person in charge for processing.

[0089] The present invention uses a variety of mathematical models to analyze abnormal data and surveillance videos, and deduce and predict the current disaster situation. The disaster situation deduction is holographically displayed, and the dangerous areas are color-coded and graded, and the hazard range of the disaster is also calculated. Among them, the various mathematical models include gas diffusion models, fire models, explosion models, etc. Based on video surveillance data, disaster deduction can be performed and the consequences of the accident can be predicted and analyzed.

[0090] Furthermore, in the three-dimensional scene of the visualized target gas station three-dimensional model, the distribution of hazardous sources, sensitive areas and third-party construction sites in the station are displayed and differentiated by color according to risk levels, and video surveillance, fire source monitoring and geological disaster monitoring are integrated; the hazard range model is calculated for hazardous factors that may cause accidents such as hazardous sources and geological sensitive areas within the station, and the calculation results are rendered in the three-dimensional scene; the alarm information list, current emergency repair force information, and current number and location information of patrol personnel are displayed in the form of a floating frame.

[0091] In summary, the present invention realizes dangerous parameter alarm for pipeline leakage or excessive flow and temperature in the production process of gas stations, and carries out dangerous warning based on historical data, which can realize command application decision analysis.

[0092] Step S40, obtaining a target emergency plan corresponding to the disaster simulation result, performing emergency processing on the abnormal alarm device according to the target emergency plan, and displaying the emergency processing process on the visualized target gas station three-dimensional model.

[0093] By visualizing the 3D model of the target gas station, gas station managers can timely understand the operating status of the monitoring equipment in the system background. When the equipment is abnormal, the system can respond quickly, automatically create a work order, and distribute it to the corresponding person in charge. Furthermore, when an emergency occurs at the station, the system can provide auxiliary decision-making tools, mark emergency assembly points, and display safety hazard points to assist rescue commanders in unified dispatch and command.

[0094] Through the set user permissions, the system can remotely access and query any monitoring device in real time. When the user selects the workshop to be concerned, the system will automatically list all the monitoring points of this workshop, including: location information of the monitoring point, real-time monitoring data information, historical monitoring diagrams, etc.; click on any probe in the list, the system will automatically locate its position in the three-dimensional scene, and can directly query the data curve of this probe from the three-dimensional scene, dynamically display the trend of real-time monitoring data, and can more intuitively reflect the changes in data; at the same time, for local management users, you can also set upper and lower limits for the monitoring alarm range. When the parameters reach a certain threshold, the system will automatically issue an alarm prompt, providing a visual service platform for the safe production, real-time monitoring, emergency warning, and personnel evacuation of the site.

[0095] Specifically, a preset emergency database is determined, and the disaster simulation result is matched with the preset emergency database to obtain a target emergency plan corresponding to the disaster simulation result; emergency treatment is performed on the abnormal alarm equipment according to the target emergency plan to obtain an emergency treatment process; the emergency treatment process is holographically displayed on the visualized target gas station three-dimensional model, so that the staff can obtain the emergency treatment status of the abnormal alarm equipment in real time.

[0096] In summary, the present invention establishes a simulated three-dimensional model to display the actual process flow and site scenario in real time, conducts data analysis on the disaster situation occurring in the actual scenario, and converts it into intuitive disaster evolution and prediction, and automatically matches and generates evacuation paths and rescue routes according to the location of the accident and resource conditions, providing a reference for rescue command.

[0097] Furthermore, if Figure 2 As shown, based on the above-mentioned emergency treatment method based on the three-dimensional model of the gas station, the present invention also provides an emergency treatment system based on the three-dimensional model of the gas station, wherein the emergency treatment system based on the three-dimensional model of the gas station includes:

[0098] The data preprocessing and three-dimensional modeling processing module 51 is used to obtain the three-dimensional point cloud data of the target gas station, and perform preprocessing and three-dimensional modeling processing on the three-dimensional point cloud data to obtain a three-dimensional model of the target gas station;

[0099] A data fusion processing module 52 is used to obtain the device sensor data of the target gas station, and fuse the device sensor data with the three-dimensional model of the target gas station to obtain a visualized three-dimensional model of the target gas station;

[0100] The abnormal alarm data detection module 53 is used to determine the abnormal alarm device and the disaster deduction result according to the abnormal alarm data when abnormal alarm data is detected;

[0101] The emergency processing module 54 is used to obtain the target emergency plan corresponding to the disaster simulation result, perform emergency processing on the abnormal alarm equipment according to the target emergency plan, and display the emergency processing process on the visualized target gas station three-dimensional model.

[0102] Furthermore, if Figure 3 As shown, based on the above-mentioned emergency handling method and system based on the three-dimensional model of the gas station, 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.

[0103] 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, an emergency processing program 40 based on a three-dimensional model of a gas station is stored on the memory 20, and the emergency processing program 40 based on the three-dimensional model of the gas station can be executed by the processor 10, thereby realizing the emergency processing method based on the three-dimensional model of the gas station in the present application.

[0104] 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 emergency handling method based on the three-dimensional model of the gas station.

[0105] 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.

[0106] In one embodiment, when the processor 10 executes the emergency processing program 40 based on the three-dimensional model of the gas station in the memory 20, the steps of the emergency processing method based on the three-dimensional model of the gas station as described above are implemented.

[0107] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores an emergency handling program based on a three-dimensional model of a gas station, and when the emergency handling program based on the three-dimensional model of the gas station is executed by a processor, the steps of the emergency handling method based on the three-dimensional model of the gas station as described above are implemented.

[0108] In summary, the present invention provides an emergency handling method, system and terminal based on a three-dimensional model of a gas station, the method comprising: obtaining three-dimensional point cloud data of a target gas station, and preprocessing and three-dimensional modeling the three-dimensional point cloud data to obtain a three-dimensional model of the target gas station; obtaining equipment sensor data of the target gas station, and fusing the equipment sensor data with the three-dimensional model of the target gas station to obtain a visualized three-dimensional model of the target gas station; when abnormal alarm data is detected, determining the abnormal alarm device and the disaster deduction result according to the abnormal alarm data; obtaining a target emergency plan corresponding to the disaster deduction result, performing emergency treatment on the abnormal alarm device according to the target emergency plan, and displaying the emergency treatment process on the visualized three-dimensional model of the target gas station. The present invention obtains the three-dimensional point cloud data of the target gas station, constructs a three-dimensional model of the target gas station according to the three-dimensional point cloud data, and fuses the three-dimensional model of the target gas station with the equipment sensor data in the target gas station, so as to obtain a visualized three-dimensional model of the target gas station. By visualizing the three-dimensional model of the target gas station, the abnormal alarm equipment in the gas station and the emergency handling process of handling the abnormal alarm equipment can be displayed in real time on the visualized three-dimensional model of the target gas station, which can help the staff to promptly discover the abnormal equipment in the gas station and predict the possible disaster consequences. It can further automatically match the emergency plan for handling the abnormal alarm equipment and the disaster consequences, which can effectively improve the processing efficiency of the alarm information in the gas station and ensure the normal operation of the gas station.

[0109] 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.

[0110] 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.

[0111] 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. An emergency treatment method based on a three-dimensional model of a gas station, characterized in that: The emergency treatment method based on the three-dimensional model of the gas station includes: Acquire three-dimensional point cloud data of a target gas station, and perform preprocessing and three-dimensional modeling on the three-dimensional point cloud data to obtain a three-dimensional model of the target gas station; Acquire the equipment sensor data of the target gas station, and fuse the equipment sensor data with the three-dimensional model of the target gas station to obtain a visualized three-dimensional model of the target gas station; When abnormal alarm data is detected, the abnormal alarm device and the disaster deduction result are determined according to the abnormal alarm data; Obtain a target emergency plan corresponding to the disaster simulation result, perform emergency processing on the abnormal alarm equipment according to the target emergency plan, and display the emergency processing process on the visualized target gas station three-dimensional model.

2. The emergency treatment method based on the three-dimensional model of the gas station according to claim 1 is characterized in that: The step of acquiring the three-dimensional point cloud data of the target gas station, and performing preprocessing and three-dimensional modeling on the three-dimensional point cloud data to obtain a three-dimensional model of the target gas station specifically includes: Determine a target gas station, and use a three-dimensional laser scanning technology to perform three-dimensional laser scanning processing on the target gas station to obtain three-dimensional point cloud data; Preprocessing the three-dimensional point cloud data 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; A three-dimensional modeling process is performed based on the target three-dimensional point cloud data to obtain a three-dimensional model of the target gas station.

3. The emergency treatment method based on the three-dimensional model of the gas station 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 emergency treatment method based on the three-dimensional model of the gas station according to claim 2 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 gas 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 gas station are acquired, and the initial station three-dimensional model is optimized according to the structural features to obtain a target gas station three-dimensional model, wherein the structural features include reference features, matrix features, engineering features and associated features.

5. The emergency treatment method based on the three-dimensional model of the gas station according to claim 1 is characterized in that: The acquiring of the device sensor data of the target gas station and fusing the device sensor data with the target gas station three-dimensional model to obtain a visualized target gas station three-dimensional model specifically includes: Determine a preset sensor detection database, and extract the equipment sensor data of the target gas 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 gas 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 gas station.

6. The emergency treatment method based on the three-dimensional model of the gas station according to claim 5 is characterized in that: When abnormal alarm data is detected, the abnormal alarm device and the disaster deduction result are determined according to the abnormal alarm data, specifically including: Performing real-time monitoring on the gas station equipment in the target gas station, and when the station equipment data corresponding to the gas station equipment exceeds a preset threshold, determining that the gas station equipment is an abnormal alarm equipment; Acquire abnormal alarm data corresponding to the abnormal alarm device, and perform disaster deduction according to the abnormal alarm data to obtain a disaster deduction result; The abnormal alarm equipment and the disaster simulation result are holographically displayed on the three-dimensional model of the visualized target gas station.

7. The emergency treatment method based on the three-dimensional model of the gas station according to claim 1 is characterized in that: The step of obtaining a target emergency plan corresponding to the disaster simulation result, performing emergency processing on the abnormal alarm device according to the target emergency plan, and displaying the emergency processing process on the visualized target gas station three-dimensional model specifically includes: Determine a preset emergency database, and match the disaster simulation result with the preset emergency database to obtain a target emergency plan corresponding to the disaster simulation result; Perform emergency processing on the abnormal alarm device according to the target emergency plan to obtain an emergency processing process; The emergency handling process is holographically displayed on the visualized target gas station three-dimensional model, so that the staff can obtain the emergency handling status of the abnormal alarm equipment in real time.

8. An emergency response system based on a three-dimensional model of a gas station, characterized in that: The emergency treatment system based on the three-dimensional model of the gas station includes: A data preprocessing and three-dimensional modeling processing module is used to obtain three-dimensional point cloud data of a target gas station, and perform preprocessing and three-dimensional modeling processing on the three-dimensional point cloud data to obtain a three-dimensional model of the target gas station; A data fusion processing module is used to obtain the equipment sensor data of the target gas station, and fuse the equipment sensor data with the three-dimensional model of the target gas station to obtain a visualized three-dimensional model of the target gas station; An abnormal alarm data detection module is used to determine abnormal alarm equipment and disaster deduction results according to the abnormal alarm data when abnormal alarm data is detected; The emergency processing module is used to obtain the target emergency plan corresponding to the disaster simulation result, perform emergency processing on the abnormal alarm equipment according to the target emergency plan, and display the emergency processing process on the visualized target gas station three-dimensional model.

9. A terminal, characterized in that: The terminal includes: a memory, a processor, and an emergency processing program based on a three-dimensional model of a gas station stored in the memory and executable on the processor. When the emergency processing program based on the three-dimensional model of the gas station is executed by the processor, the steps of the emergency processing method based on the three-dimensional model of the gas station are implemented as described in any one of claims 1 to 7.

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

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