Digital twin platform building method based on seismic acquisition construction

Abstract

The invention discloses a digital twinborn platform building method based on earthquake acquisition construction, which comprises the following steps: firstly, acquiring physical entity information, secondly, establishing a twinborn database comprising an earthquake acquisition construction business library, a map document library, a geographic information library and a real-time behavior database, and then, realizing accurate digital mapping of earthquake acquisition items. The method comprises the following steps of: performing three-dimensional presentation of geophysical prospecting construction elements, performing data driving interaction, performing simulation data interaction and the like, providing a visual digital model for the construction process, and finally performing data monitoring and analysis functions, specifically performing construction process display analysis, construction behavior evaluation and construction simulation deduction and feedback. According to the digital twin platform building method, potential bottlenecks in the construction process can be observed through monitoring and deep analysis and evaluation of platform data, so that resource allocation is optimized, cost is reduced, operation efficiency and reliability are improved, and seismic acquisition construction is more intelligent and efficient.

Description

Technical Field

[0001] The present invention relates to the application of digital twin in the field of seismic exploration acquisition work. Specifically, it involves the digital mapping of geographical elements, operation units, and operation objects in seismic acquisition construction, a seismic construction evaluation system, and a method for building a seismic acquisition digital twin platform composed of seismic construction simulation and a twin database. Background Art

[0002] In the current field of seismic exploration, with the continuous popularization of high-efficiency and high-density acquisition technologies, seismic acquisition work has become increasingly difficult in complex geographical environments, and the construction difficulty has been increasing day by day. In addition, the diversification of construction equipment has also put forward higher requirements for project management. Seismic acquisition projects involve the coordination and management of numerous construction personnel, vehicles, and equipment, and the optimization of construction organization plans has become the key to project success. In this context, digital twin technology is used to map the entire process of seismic exploration acquisition projects, comprehensively reflecting the entire life cycle of physical production projects. Through technical means such as high-precision simulation, simulation, deduction, and evaluation analysis, precise visual management and decision support for the construction process are realized, thereby significantly improving construction efficiency and reasonably optimizing resource allocation. Therefore, designing a feasible method for building a digital twin platform for seismic acquisition projects helps to address challenges such as complex geographical environments and increased construction difficulty in seismic acquisition projects, and can also provide strong support for pre-project deduction, optimization and adjustment, and review analysis, promoting the implementation of digital twin technology in the field of seismic acquisition. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for building a digital twin platform for seismic acquisition construction, to solve the problem that the construction process data is not systematic and intuitive, and at the same time to help analyze the factors restricting construction efficiency; through data perception and data-driven, geographical elements, production objects, construction units and their behaviors, basic information of seismic construction, etc. in seismic production are transformed into digital forms, realizing the dynamic link between the construction entity and its digital twin; through the monitoring and in-depth analysis and evaluation of the platform data, potential bottlenecks in the construction process can be insighted, so as to optimize resource allocation, reduce costs, improve operation efficiency and reliability, and make seismic acquisition construction more intelligent and efficient.

[0004] To achieve the above object, the technical solution adopted by the present invention is: a method for building a digital twin platform based on seismic acquisition construction, which includes the following steps:

[0005] Step 1: Collect physical entity information: Collect static and dynamic attributes, working condition data, and construction process data of physical entity geographical elements, operation units, and operation objects;

[0006] Step 2. Construct a twin database: Establish a data storage system including a seismic acquisition construction business database, a drawing and document library, a geographic information database, and a real-time status behavior database to receive, store, and process data obtained from physical entities by data collectors and be able to send drive instructions to physical entities;

[0007] Step 3. Information precise digital mapping: Realize the digital mapping of seismic acquisition projects, including the three-dimensional display of geophysical exploration construction elements, the working conditions of construction entities, the real-time display of the construction process, and data-driven interactive display;

[0008] Step 4. Data monitoring and analysis: Include construction process playback, construction behavior data analysis and evaluation, construction simulation deduction, and feedback mechanism.

[0009] Furthermore, in the above Step 1, the physical entity includes three parts: geographic elements, operation units, and operation objects:

[0010] (1) Geographic elements: Geographic elements are divided into four categories: construction obstacles, travel routes, working area climate and weather conditions, and construction auxiliary facilities;

[0011] (2) Operation units: As the core component, the basic composition of operation units is two parts: operators and operation equipment.

[0012] (3) Operation objects: The operation object specifically refers to shot points, which are divided into three core aspects: the geographic coordinates of shot points, the process status of shot points, and the construction quality of shot points.

[0013] Furthermore, in the above Step 2, the construction of the twin database includes:

[0014] (1) The seismic acquisition construction business database is used to store business data during the seismic acquisition construction process, including project basic information, construction plans, test information, and production daily report information;

[0015] (2) The drawing and document library is used to store various drawings and documents during the seismic acquisition construction process, including construction designs, summary reports, geological and seismic maps;

[0016] (3) The geographic image database is used to store geographic environment elements in the area where the seismic acquisition project is located, including terrain, landform, geology, and geographic element information;

[0017] (4) The real-time database is used to store real-time behavior data of operation units and operation objects, including the real-time positions, trajectories of operation units, and the working conditions of operation equipment; the real-time process status of shot points, position change information;

[0018] (5) The construction of the twin database includes providing data interaction interfaces with data collectors, physical entities, and other data collection software, ensuring that the database can receive data from different sources and send necessary driving instructions to physical entities.

[0019] Further, in step three, the precise digital mapping of information includes:

[0020] (1) Using 3D modeling technology to create a virtual representation of seismic acquisition construction elements;

[0021] (2) Real-time display of each construction element during the construction process;

[0022] (3) An interactive operation interface that allows users to perform operations such as zooming, rotating, and panning;

[0023] (4) Realize two-way flow and comparative analysis between simulation data and actual acquisition data.

[0024] Even further, 3D modeling includes the modeling of geographical elements, operation units, and operation objects, which is used to construct a digital scene that accurately reflects the construction geographical environment and create digital operation entities, enabling the behavior of these entities in the digital environment to approximate the actual construction situation as much as possible.

[0025] Even further, the modeling of geographical element information: data collection of geographical elements, construction of a geographical element information model, and through the comprehensive application of multi-source data, realize the three-dimensional display of the construction area's geographical environment;

[0026] The 3D modeling of operation units: data collection of operation units, the core is to construct their geometric forms, on this basis, integrate physical property parameters and construction capacity attribute indicators, and integrate the function of real-time display of working conditions information, ensuring that the operation unit model can accurately simulate and reflect the actual operation activities in the digital geographical environment;

[0027] The 3D modeling of operation objects: transform the abstract shot points and shallow survey points in seismic exploration construction into intuitive and visible 3D entities, and through the form and color coding system, clearly display their different process states on the 3D GIS platform.

[0028] Further, in step three, through data linkage, achieve efficient wireless bridging between the 3D model of the acquisition unit and the physical entity, as well as real-time synchronization of the dynamic change information of geographical elements; through the integrated data collection and processing mechanism, the Geophysical Intelligence Map software seamlessly transmits the information flow to the digital twin platform, constructing a real-time mirror image of the physical world.

[0029] Further, step four includes:

[0030] (1) A design and construction evaluation system for evaluating the construction effect of project construction and construction units;

[0031] (2) Apply statistical methods and machine learning to perform pattern recognition and performance evaluation on construction behavior data;

[0032] (3) Design a feedback loop system to optimize the actual construction strategy according to the evaluation and analysis results;

[0033] (4) Build a construction simulation function to perform digital simulation of seismic construction and generate simulated construction data.

[0034] Furthermore, various types of information on the construction site are presented to users scientifically and reasonably through construction monitoring; various scenarios carried out by project managers during the actual construction process or before construction are simulated through construction simulation, including by adjusting the construction time, the layout of construction auxiliary facilities, the configuration of construction equipment, and the allocation of different construction teams, managers can simulate the construction efficiency and resource consumption under different conditions, so as to optimize the construction plan and predict possible challenges.

[0035] Furthermore, data analysis is used to deeply mine multi-dimensional data generated by physical entities, real-time monitoring data of the construction process, and construction simulation data, and comprehensively apply analysis methods to reveal the hidden trends, correlations behind the data, and predict future changes, helping project managers to more deeply understand various situations in the construction process.

[0036] The beneficial effects of the present invention are: This method can not only complete the complete mapping of the entity information of the seismic exploration project to the virtual world, but also integrate the construction process evaluation and simulation functions. It solves the problem that the construction process data is not systematic and intuitive, and at the same time helps to analyze the factors restricting the construction efficiency. By cleaning and converting the collected construction process data and combining with 3D GIS technology, this method realizes the digital display of seismic exploration project construction and provides full-cycle monitoring of production projects. The addition of the simulation function enables the platform to reproduce and predict various situations in the construction process in a virtual environment, so that risk assessment and process optimization can be carried out before the project implementation, improving the predictability of project management and the scientificity of decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is the digital twin architecture diagram of the present invention;

[0038] Figure 2 is the digital twin construction flowchart of the present invention;

[0039] Figure 3 is the digital twin construction monitoring interface of the present invention;

[0040] Figure 4This is the digital twin construction simulation interface of the present invention. Detailed implementation manners

[0041] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0042] As Figure 1 and 2 , a method for building a digital twin platform for seismic acquisition construction, includes:

[0043] 1. Data collection: Collect static and dynamic attributes, working conditions data, and construction process data of physical entity geographical elements, operation units, and operation objects. Specifically, the orthophoto image and digital elevation model (DEM) of the construction area can be obtained through drone technology. The collection of obstacle information can be automatically identified through machine learning algorithms or manually marked by on-site staff. In addition, the real-time position information of equipment and personnel is obtained by using a global navigation satellite system (GNSS) positioning device. The project construction parameter information is recorded through the synchronously collected SPS file. The basic information such as the technical parameters of construction equipment is collected through the equipment management system, while the personnel composition of the project team is managed through the personnel management system. These information collection processes are not limited to the static data before the start of construction, but also include various dynamic information during the construction process.

[0044] 1) Data collection of geographical elements: To meet the actual needs of seismic exploration acquisition construction, the geographical elements are simplified into the following four core parts: work area location and climate characteristics, construction obstacles, travel routes, and construction auxiliary facilities.

[0045] ① Work area location and climate characteristics

[0046] Work area location: The geographical location information of the work area can be accurately collected by using the professional seismic map tool "Geophysical Exploration Smart Map".

[0047] Climate characteristics: Through the API interface, climate data such as the weather and sunshine time of the work area can be obtained in real time. For work areas with extremely high timeliness requirements, it is recommended to give priority to using the PanguWeather weather forecast service.

[0048] ② Construction obstacles

[0049] Construction obstacles refer to the ground objects in the work area where shot points cannot be arranged or that interfere with the construction. For these obstacles, three key attributes are defined:

[0050] Basic attribute: The attribute value is the basic type of the ground object, such as orchard, water source, high-voltage line, factory building, etc.

[0051] Obstacle attribute: The attribute value is whether shot points are allowed to be arranged on this ground object and the safe distance when arranging them nearby.

[0052] Risk attributes: subdivided into HSE risks (such as landslides, avalanches, flammable and explosive materials, etc.) and humanistic risks (such as religious restricted areas, construction interference, armed conflicts, etc.).

[0053] ③Route

[0054] The travel route includes the passage paths of professional equipment such as transport vehicles and ships and source vehicles / ships, and is divided into two parts: traffic routes and operation routes.

[0055] Traffic route: refers to the traffic path for geophysical exploration construction vehicles / ships to reach the work area. In addition to obstacle attributes and risk attributes, it is also necessary to consider the passing attributes, such as width limit, height limit, weight limit and channel depth.

[0056] Operation route: refers to the route of geophysical exploration special operation vehicles / vessels. Mainly focus on risk attributes and passing attributes.

[0057] ④Construction auxiliary facilities

[0058] Construction auxiliary facilities are ground infrastructure used for seismic exploration and construction, and are special parts of construction obstacles. They include camps, warehouses, parking lots and other places. Because these places are closely related to earthquake construction activities, in addition to collecting attribute values ​​that are not the same as construction obstacles, special attributes such as construction purpose and material quantity also need to be collected.

[0059] The collection of obstacle and route attribute values ​​first obtains most of the basic attributes, risk attributes, and pass attribute values ​​through the high-definition map and map annotation information of the "Geophysical Exploration Map". The obstacle attributes need to be determined in combination with the basic attributes and the safety distance provided by the owner. Before the start of construction, the latest high-definition pictures and elevation information of the work area are obtained using drone aerial photography technology to correct and supplement the various attribute values ​​of obstacles and routes. In addition, during the due diligence and seismic data collection construction process, the project construction personnel continuously update the various attribute values ​​of construction obstacles and routes through the "Geophysical Exploration Map" tool until the end of construction.

[0060] 2) Data collection of operation units: Operation units refer to the operation units or data receiving equipment that can complete certain construction tasks and have relatively independent work in the seismic acquisition construction project. This method divides the data collection of operation units into three categories: construction team data, node equipment / combination data, and transportation data.

[0061] ① Construction team: It refers to a team that uses construction equipment and can independently complete a certain construction process of seismic exploration. The specific composition of the construction team includes survey team, drilling team, downhole charge team, blasting team, cable laying team, cable retrieving team, vibration source team, air gun ship team, shallow layer construction team, etc. Generally speaking, the number of the above teams ranges from one to multiple, and the number and types of equipment of the same type of construction teams may vary. For example, for the survey teams, there are total station survey teams and GPS survey teams. The attribute types of the construction team include personnel composition, the number and types of construction equipment and their basic parameters, operation ability, operation track, operation mileage, and real-time position.

[0062] Specifically for the vibratory source, the data to be collected further includes basic equipment information such as brand model, serial number, manufacturer, commissioning date, performance parameters, maintenance information, etc., the geometric dimensions of the vibratory source vehicle, operation ability, real-time working conditions, operation track, operation mileage, and real-time position.

[0063] Specifically for the air gun ship, the data to be collected further includes basic equipment information such as the brand model, serial number, manufacturer, commissioning date, performance parameters, maintenance information, etc. of the hull, the geometric dimensions of the hull, the real-time working conditions of the hull, the operation track of the air gun ship, real-time position, etc. Basic equipment information such as the brand model, serial number, manufacturer, commissioning date, performance parameters, maintenance information, etc. of the air gun body, the geometric dimensions of the gun body, the gun array combination, real-time working conditions, and the overall operation ability of the air gun.

[0064] ② Node device or combination: It refers to a node or a combination of nodes and geophones that can complete a seismic data acquisition. Its attribute categories include basic equipment information such as the brand model, serial number, manufacturer, commissioning date, performance parameters, maintenance information, etc. of the node device, basic equipment information such as the brand model, serial number, manufacturer, commissioning date, performance parameters, maintenance information, etc. of the possible combined geophones, the geometric dimensions of the node, the real-time working conditions of the node, the real-time position of the node, indoor and outdoor time and ratio.

[0065] ③ Means of transportation: It refers to vehicles and ships used by users to transport personnel, materials, and equipment in the work area. Its attribute types include basic equipment information such as brand model, serial number, manufacturer, commissioning date, performance parameters, maintenance information, etc., geometric dimensions, passenger and cargo carrying capacity, driver information, real-time working conditions, operation track, operation mileage, and real-time position.

[0066] The process of collecting the attribute values of the operation unit is as follows: First, through the equipment and personnel management information system dedicated to seismic projects, the basic equipment data and personnel composition information are synchronized. Thanks to the database interconnection between the twin database and the equipment and personnel information system, these basic data can be seamlessly transmitted to the digital twin database. For the real-time data of the equipment working conditions, they are captured through the maintenance or monitoring interfaces. In addition, by using the built-in satellite positioning module of the equipment, the real-time geographical location information of the equipment can be obtained in real time, and the operation trajectory of the equipment can be drawn accordingly. For the equipment with wireless data transmission function, its information can be automatically transmitted back to the digital twin body. For the equipment without wireless transmission ability, the "Geophysical Exploration Smart Map" APP is used to achieve real-time data transmission to ensure that all data are accurately delivered to the digital twin database.

[0067] 3) Data collection of the operation object: In the seismic acquisition construction twin platform, the operation object is defined as the operation target receptor, covering shot points, geophone points, and shallow investigation points. The attribute values of the operation object are divided into three main categories: geographical location, process status, and construction result. Specifically, the process status of the shot point is subdivided into stages such as surveying, drilling, charging, shooting / acquiring, and line cleaning; the process status of the geophone point includes surveying, line laying, acquiring, and line retrieving; while the process status of the shallow investigation point is surveying and acquiring. The construction results of each process are evaluated as qualified or unqualified.

[0068] The construction process data of the operation object are generated in real time during the actual construction operation. The accurate position information of the operation object is established after the surveying process is completed, and the determination of the process status and construction result depends on the analysis of the image and video materials of the operation site, which can be carried out automatically or manually intervened. Through the "Geophysical Exploration Smart Map" APP, these key data are transmitted to the digital twin database in real time to ensure the timeliness and accuracy of the data.

[0069] 2. Establishing the twin database: In the process of establishing the digital twin database, the key challenge lies in integrating data from different sources, which have different formats, and as the construction process progresses and simulation experiments are carried out, the data in the database are constantly updated and expanded. Therefore, an efficient data management platform is needed that can handle multiple data formats and support real-time data update and maintenance. The collection of business library information mainly relies on the project construction design documents to extract the required key information. The construction of the geographical information library depends not only on the orthophoto images taken by drones but also includes historical geographical data, due diligence, etc. The data in the real-time database come from the real-time data collection of actual construction activities or the data of construction simulations, including the results of event analysis. The content of the drawing document library mainly comes from various project reports from different sources.

[0070] 3. 3D Model Rendering: The core objective of 3D model rendering is to accurately and efficiently display 3D models of various collection units in a 3D GIS platform, including but not limited to orthophotos, digital elevation models (DEMs), and 3D models of collection devices.

[0071] Given the limitations of current computer processing capabilities, it is difficult to load all the data of complex scenes at once. Therefore, data optimization techniques are adopted, including data layering (i.e., LOD technology) and slicing technology, to optimize rendering performance and user experience. The level of detail (LOD) technology, as a key means of lightweight processing of 3D models, realizes the automatic selection of the most suitable model for rendering at different viewing distances by intelligently generating multiple model levels with different levels of detail. This can significantly reduce system resource consumption and ensure the visual coherence and detail richness of the model at different zoom levels.

[0072] In addition, the introduction of slicing technology can further improve data processing efficiency and rendering speed. Specifically, convert complex OBJ models into an efficient gITF format and divide them into multiple gITF files according to the LOD levels, effectively removing data redundancy irrelevant to rendering. For orthophotos, use image segmentation algorithms to divide them into multiple small regions (i.e., slices), each slice is compressed into an efficient image format (such as PNG or JPG), and the required slices are dynamically loaded according to the user's current view, realizing on-demand loading and fast display of image data.

[0073] In terms of 3D terrain visualization, use terrainProvider (terrain service) to convert DEM data into terrain tiles format. Each terrain tile contains the 3D coordinates of DEM data points in the area and the constructed triangulation network information. By decoding this data through terrainProvider, a highly realistic terrain surface can be rendered in real time and quickly.

[0074] In the seismic acquisition construction twin platform, 3D modeling is a very important part, which covers the modeling of geographical elements, operation units, and operation objects. This process aims to build a digital scene that accurately reflects the construction geographical environment and create digital operation entities, so that the behavior of these entities in the digital environment approximates the actual construction situation as much as possible.

[0075] 1) Modeling of Geographical Element Information: Based on point 1) of item 1 of this technical solution, for the data collection of geographical elements and the construction of the geographical element information model, the aim is to achieve a 3D display of the construction area's geographical environment through the comprehensive application of multi-source data.

[0076] ① Construction of the 3D surface model: Integrate Digital Elevation Model (DEM) data, high-resolution remote sensing images, and oblique photogrammetry data. The surface height differences are presented stereoscopically through high-precision rendering technology to ensure the accurate expression of terrain features. The multi-level gradient color mapping technology is adopted, combined with high-precision contour annotation, so as to achieve clear visualization of terrain undulations. In addition, through the 3D rendering engine, the lighting effects and texture details of the surface model can be further enhanced.

[0077] ② Incorporation of the 3D water body model: On the basis of constructing the 3D surface model, further integrate bathymetric data to create a 3D model of the water body within the construction area. By using lighting rendering and dynamic color mapping technology, the depth changes of the water body are intuitively presented through gradient colors and high-resolution isobath annotation. These means jointly ensure the intuitive and accurate expression of water depth data and enhance the overall realism of the model.

[0078] ③ Extraction of traffic and operation route information: Adopt a comprehensive technical solution integrating remote sensing image interpretation, Geographic Information System (GIS) analysis, and machine learning algorithms to achieve precise extraction and intelligent analysis of traffic route and operation route information in the construction area. Automatically identify and extract the geometric features of the route, such as route slope, curvature, orientation, width, and length. Extract key passing parameters such as speed limit, height limit, width limit, weight limit, and depth limit. To ensure the accuracy and integrity of the information, comprehensively analyze remote sensing images, Digital Elevation Model (DEM), topographic maps, and field survey data to verify and supplement the route information extracted by the machine. The route information is intuitively displayed in the form of color coding and symbol marking to show the slope information and passing parameters of the route. Finally, a comprehensive, accurate, and intuitive traffic and operation route information system is constructed.

[0079] ④Dynamic Modeling of Sunshine and Weather Environment: By using real-time rendering and physical simulation technologies and integrating meteorological data service APIs, real-time, historical, and forecast weather data are obtained, including temperature, humidity, wind direction and speed, precipitation (including rain and snow), cloud cover, sunshine intensity, sunrise and sunset times, etc. Based on the analysis of these data, a timeline component is used to provide an intuitive timeline interface. Users can simply drag the timeline to view the sunshine changes (including day and night) and weather conditions in the construction area in the past, present, and even in the next few days. A physics-based lighting and weather simulation engine is constructed, and the shader language (GLSL) of WebGL is used to calculate and render the light and shadow effects in real time. Based on the 3D terrain model, the rendering engine combines real-time sunshine and weather data to calculate the light direction, intensity, and color, and simulate light and shadow effects, such as the gradual color change of sunrise and sunset, the movement of cloud shadows, and the dynamic distribution of rain, snow, and ice particles. For the simulation of rain, snow, and ice weather, a particle system is added to simulate the falling of raindrops, snowflakes, and ice crystals and the ground coverage effect. Through physical simulation technology, the slippery properties of the surfaces of traffic routes and operation routes in rain, snow, and ice weather are simulated and visually presented to users on the interface (such as by the depth of color, icon prompts, etc.), providing strong support for operation planning.

[0080] ⑤Highlighting Construction Obstacles: Classify construction obstacles and traffic routes according to the major categories of obstacle attribute values (shot point obstacles and geophone point obstacles), and highlight them with eye-catching colors or marks. At the same time, display the buffer zone of the obstacle to visually present its influence range. Use flag markers with different patterns to identify construction auxiliary facilities to distinguish them from ordinary obstacles.

[0081] 2) 3D Modeling of Operation Units: Based on the second point of the first article of this technical solution, for the data collection of operation units, the core task of 3D modeling of operation units is to construct their geometric shapes. On this basis, physical property parameters and construction ability attribute indicators are integrated, and the function of real-time display of working conditions information is integrated. This comprehensive strategy aims to ensure that the operation unit model can accurately simulate and reflect the actual operation activities in the digital geographical environment.

[0082] ①Construction of Geometric Model: First, construct the images of workers in each type of seismic construction in an abstract way. These character models are not modeled for specific real individuals and do not involve personal characteristics such as precise height and appearance. Use 3D modeling software and parametric design methods to create a unified 3D model skeleton for workers in different types of work, such as surveyors, drillers, downhole charge workers, gunmen, wireline operators, vibroseis operators, ship drivers, truck drivers, air gun operators, etc. Intuitively distinguish the personnel of each type of work through the colors and styles of different work caps and work clothes, as well as eye-catching head markers.

[0083] For the construction of the 3D model of the construction equipment, the model is built based on the actual appearance characteristics and size ratio of the equipment to ensure the high restoration of the model appearance. The details can also be processed and the high-resolution texture map can be used to restore the material of the equipment. The equipment model is also equipped with a header label to intuitively display the basic information of the equipment, such as model, purpose, etc., for easy identification and management.

[0084] ②Integration of basic information and physical properties: Integrate the basic information and core physical properties of the equipment on the geometric model of the construction equipment. This information and properties include basic identifications such as the brand, model, number and manufacturer of the equipment, as well as technical parameters such as the total weight, load capacity, speed, fuel consumption, working pressure and capacity of the equipment. Data binding and linking technology is used to ensure that each 3D model can be accurately associated with the corresponding physical property data of the equipment management system, and the data update of the equipment management system is synchronized to the equipment model in a timely manner.

[0085] ③ Real-time display of operating condition information: The working status of the equipment, including but not limited to key operating parameters such as fuel consumption, remaining fuel, working air pressure, power and voltage, is uploaded to the equipment three-dimensional model of the digital twin platform in real time through the data acquisition unit and wireless transmission, realizing real-time display and monitoring of operating condition information.

[0086] ④ Definition of construction capacity attributes: Construction capacity quantifies the effectiveness of a work group consisting of specific construction equipment and operators in performing a specific process, that is, the number of gun inspection points completed by the group in a unit of time. The baseline value of construction capacity is based on historical experience data and can be initialized by manual input. After the construction activity is started, the system will use statistical analysis algorithms to process the operation data in real time, and then automatically adjust and optimize the construction capacity indicators of each construction group to ensure dynamic update and accuracy of the data.

[0087] 3) Three-dimensional modeling of operating objects: The three-dimensional modeling of operating objects aims to transform the abstract blasting points and shallow investigation points in seismic exploration construction into intuitive and visible three-dimensional entities, and clearly display their different process states on the three-dimensional GIS platform through the morphology and color coding system.

[0088] ① Morphological design: The shot point is designed as a regular hexahedron structure, with the center of gravity of the ground-contacting side aligned with the shot point coordinates. Its geometric shape is clearly discernible in three-dimensional space, making it easy to locate and identify. The detection point is designed in a water drop shape, with the lower end of the water drop aligned with the detection point coordinates, symbolizing the capture and transmission of signals. The shallow survey point is designed as a double triangular pyramid, composed of two tetrahedrons, with the lower cone tip aligned with the survey point coordinates, implying the exploration and data collection of the shallow surface.

[0089] ②Color Coding System: The main color of the shot point model is red. The eight process states of design, measurement, drilling, charging, well shot, source shot, air gun shot, and line cleaning are represented by the hexadecimal colors #FF9999, #FF00FF, #990000, #FF0000, #FF6699, #FF4500, #E34234, and #886666 respectively. The main color of the geophone point model is blue. The five process states of design, measurement, line laying, line retrieving, and line cleaning are reflected by the hexadecimal colors #87CEEB, #3366FF, #0000FF, #000099, and #666688 respectively. The main color of the shallow investigation point model is green. The four process states of design, measurement, acquisition, and line cleaning are shown by the hexadecimal colors #7CFC00, #00FF00, #006600, and #445544 respectively.

[0090] ③Abnormal and Empty / Faulty Point Identification: Black is uniformly used as the identifier for empty / faulty points to quickly identify invalid or unused operation points. For unqualified process points, they are specially marked by setting half of the model to white to highlight and facilitate subsequent processing.

[0091] ④Dynamic Zooming and Display Adaptability: Using 3D rendering technology, ensure that these models can automatically adjust their sizes according to the changes in the user's field of view (such as map zooming operations), maintaining clarity and recognizability at different visual levels. When there are overlapping devices or construction teams at a point, the 3D model of the operation object becomes semi-transparent.

[0092] 4. Data Link: The purpose of the data link is to achieve an efficient wireless bridge between the 3D model of the acquisition unit and the physical entity, as well as the real-time synchronization of dynamic change information of geographical elements. Given that current geophysical exploration equipment generally lacks the built-in function of remote wireless data transmission, develop the Geophysical Exploration Smart Map software, which is used to mark the information of seismic exploration obstacles and is also connected to the near-field transmission of geophysical exploration equipment, capable of collecting the real-time working status and performance parameters of various equipment at the construction site. Through the integrated data collection and processing mechanism, the Geophysical Exploration Smart Map software seamlessly transmits these information flows to the digital twin platform, constructing a real-time mapped mirror image of the physical world.

[0093] In addition, encryption algorithms and data compression technologies are adopted to ensure security and efficiency during data transmission. At the same time, by optimizing the network communication protocol, latency is reduced, ensuring the real-time and accurate data transmission.

[0094] 5. Monitoring evaluation and information feedback: Monitoring evaluation is mainly divided into two core parts. The first part is the display of construction element information and working condition dynamics collected by seismic exploration, that is, the display query of basic construction information and the real-time display of various dynamic changes during the construction process. The second part is the evaluation of the construction process and results, that is, a comprehensive evaluation of the efficiency, quality, cost and other aspects of the construction process.

[0095] 1) Construction monitoring and information push: On the interactive display interface of the digital twin platform, real-time query and visualization of information on construction teams, node equipment, vehicles, inspection points, etc., such as parameters, locations, working conditions, process progress, etc. At the same time, it can deliver construction risk warnings, weather updates and other key information to construction teams, vehicle drivers and other roles in real time.

[0096] ① Construction team monitoring and information push: Through the integrated project management architecture, accurate analysis of construction team personnel configuration is achieved, and the data interface of the equipment management system is connected to automatically gather all equipment information required by the construction team. On the digital twin platform, team dimension tags are added to team members and related equipment to build a complete construction team virtual entity, which is stored in the operation unit management library.

[0097] The monitoring personnel can click on the construction team entry in the operation unit library to get a comprehensive overview of its members and equipment composition, and at the same time grasp the detailed construction task information. In the work area GIS (geographic information system) interface, the team will be automatically highlighted to intuitively show its operation area and location. Click on a specific equipment to view basic properties, real-time working conditions and other data.

[0098] The twin platform also gives the monitor the ability to reverse query. Whether it is to track the team to which any worker belongs, the details of the construction task, or to quickly retrieve the comprehensive information of the construction equipment, the team affiliation and the real-time working condition, all can be found and clicked on the GIS interface. For equipment equipped with wireless transmission function, an intelligent early warning mechanism has been added. Once an abnormal working condition is detected, it will immediately be prompted in a flashing yellow on the GIS interface to ensure that the monitor can respond immediately.

[0099] Relying on the Geophysical Map APP, construction team members can instantly receive task instructions collected through the digital twin platform, including workload overview, precise positioning of the task area, personalized travel route planning suggestions, and comprehensive risk assessment and weather forecast information. During the construction process, the Geophysical Map APP will also receive real-time extreme weather warnings and equipment abnormality alarms to ensure that team members can quickly respond to various emergencies.

[0100] ② Node device monitoring: After the 3D modeling is completed, the node devices are integrated into the operation unit management library. Through the interface of this management library, the monitor can select any node device to view its manager information, core parameter configuration, real-time geographical coordinates, and detailed working condition data. During this process, the selected node is visually presented in a highlighted form on the GIS interface. At the same time, the GIS interface supports one-click query to instantly display the detailed information of the node.

[0101] Given the characteristics of wide distribution and large quantity of node devices in seismic acquisition operations, and in most cases, they are geographically separated from the operation personnel, the monitoring strategy focuses particularly on the immediate capture and response to abnormal states. Once the working condition of a node deviates from the normal range, the digital twin platform will automatically trigger a yellow flashing warning mechanism and simultaneously push the details of the abnormality to the Geophysical Intelligence Map APP of the node manager, ensuring that the management personnel can obtain key information in a timely manner and take corresponding measures quickly.

[0102] ③ Vehicle monitoring: The monitoring function of vehicles is similar to that of node devices.

[0103] ④ Monitoring of construction objects: The monitoring of construction objects targets shot points and shallow survey points. After the construction design is completed, the coordinate positions of these points are imported into the digital twin platform and displayed in the form of a concrete 3D model on the GIS interface. An efficient search function is designed for the twin platform, enabling users to quickly locate any point and view in detail its category, stake number, coordinates, and process status and other detailed information. The process status information includes the identity of the construction personnel, construction time, equipment used, and completed processes, etc.

[0104] 2) Construction process evaluation system: The construction process evaluation system includes three parts: construction evaluation, evaluation indicators and comparative analysis of operation teams, and data analysis of vehicles and nodes. The evaluation system involves specific evaluation indicators and visualization.

[0105] ① Overall construction evaluation indicators: The overall construction evaluation indicators are a comprehensive record and analysis of the core data of seismic exploration projects, aiming to provide project managers with a macro understanding of the overall operation status of construction projects, so as to comprehensively master the key data of construction projects, make more informed decisions, and improve the overall operation efficiency and quality of projects. These evaluation indicators include 9 aspects:

[0106] I. Project labor utilization: Statistics on the total number of people participating in the project, the personnel configuration and changes in each position.

[0107] II. Equipment types and quantities: List all the equipment types used and their quantities, including spare equipment.

[0108] III. Consumable Usage: Record the usage amounts and remaining inventories of various consumables. Obtaining this part of data requires connecting to the project's material management system to retrieve the data.

[0109] IV. Comparison of Planned and Actual Durations: Compare the planned durations with the actual completed durations for the overall project and each work team.

[0110] V. Construction Time Situation: Record and analyze the time allocation during the construction process, including travel time, working time, rest time, and abnormal time, etc.

[0111] VI. Overall and Team Safety Working Hours: Statistically calculate the accident - free safety working hours for the overall project and each work team.

[0112] VII. Comparison of Planned and Actual Workloads and Construction Qualification Status: Compare the planned and actual workloads completed by each work team and record the construction quality qualification status.

[0113] VIII. Collection Qualification Rate and Blank / Faulty Shot Rate: The qualification rate of each work team's work, as well as the overall blank / faulty shot rate and profile qualification rate.

[0114] IX. Construction Efficiency of Teams throughout the Entire Duration: Evaluate the average construction efficiency of each work team over the entire project duration.

[0115] ② Evaluation Indicators and Comparative Analysis of Working Groups: Conduct statistics and analysis on the construction of each working group, aiming to identify the effectiveness bottlenecks and optimization directions of each working group, and promote healthy competition and collaboration among groups. It covers the following 6 key indicators:

[0116] I. Analysis of Construction and Idle Time: Statistically calculate the number of construction days / hours, idle days / hours of each group, and the ratio of construction to idle time to evaluate the construction activity of the group.

[0117] II. Evaluation of Safety Working Hours: Record and analyze the safety working hours of the group to evaluate the effectiveness of safety management.

[0118] III. Analysis of Travel and Working Time: Statistically record the travel hours and construction hours, and evaluate the efficiency and optimization space of the group in time management by calculating the average daily travel time and working time.

[0119] IV. Analysis of Project Duration and Workload: Compare and analyze the project duration workload, qualified and unqualified workloads of the group to evaluate the construction ability and work quality.

[0120] V. Evaluation of Work Efficiency: Calculate the work efficiency on a daily basis with the project duration as the unit, and calculate the effective work efficiency on an hourly basis to quantify the work efficiency of the group from different dimensions.

[0121] VI. Comparative analysis: Conduct a comparative analysis of groups in the same type of work, evaluate the performance of each group in the above-mentioned indicators and their rankings, and clarify the advantages and disadvantages of each group in terms of construction efficiency, time management, route planning, work quality, etc.

[0122] Based on the results of the comparative analysis, identify the key points for efficiency optimization, such as increasing the ratio of construction standby time, reducing the average journey time, and improving the construction qualification rate, and formulate targeted optimization strategies to promote experience sharing and efficiency improvement among groups.

[0123] ③ Data analysis of transportation tools and nodes: The data analysis of transportation tools includes fuel consumption and mileage analysis; the data analysis of nodes analyzes the time distribution of node equipment in the maintenance workshop and field work.

[0124] The indicators in the above evaluation system and the results of the comparative analysis are visually displayed in the form of reports and charts on the twin platform. At the same time, an automated push mechanism is incorporated, and the overall construction performance overview is sent to the project management layer daily so that they can grasp the overall situation in a timely manner. For the special evaluation indicators of group operations and the details of their comparative analysis, the system intelligently pushes them to the corresponding work type team leaders and operation team leaders to promote refined management and instant feedback. The analysis information of transportation tools and node equipment is pushed to the corresponding managers and project managers.

[0125] 6. Construction simulation: Construction simulation is a process in which, before seismic construction, digital operation units complete all predetermined processes in a virtual work area composed of digital geographical elements according to the planned operation method. This process mainly includes three core parts: data preparation, construction visual simulation, and simulation data analysis.

[0126] 1) Data preparation: Four types of data need to be prepared before construction simulation to drive the digital simulation of operation units.

[0127] ① Construction obstacles: In the data collection stage, obtain the specific locations and relevant attribute information of construction obstacles in the work area. These information will serve as the basic geographical elements in the digital simulation construction environment and are also important materials for construction planning.

[0128] ② Construction auxiliary facilities: Construction auxiliary facilities include places such as camps, warehouses, maintenance workshops, parking lots, and docks. When determining the locations of these auxiliary facilities, the primary consideration factor is applicability, that is, they must meet the actual needs and functional requirements during the construction process. On this basis, select suitable locations to achieve the maximum efficiency of the facilities. The initial site selection is usually based on past construction experience. After simulating the construction, predict the construction efficiency, logistics requirements, and potential risks under different site conditions, so as to determine a more scientific and reasonable location.

[0129] ③ Workload and construction plan: The workload of seismic construction is closely related to the size of the full-coverage area and the observation system. After completing the construction design, the number of shot and receiver points in the work area is the total workload. According to the specific characteristics of the work area, suitable equipment is selected for acquisition construction. The determination of the construction plan needs to comprehensively consider the geographical characteristics of the work area, the observation system, and the equipment available to the team, including rolling operation mode, construction block sequence, operation route selection, operation time selection, etc.

[0130] ④ Digital operation unit: For the data preparation of analog construction, the operation unit is mainly the construction team, and construction teams of different trades can perform different processes. According to the construction plan, determine the number of teams of different trades, equipment allocation, and their initial positions. At the same time, set the type, number, and initial positions of the nodes or geophones of the construction team, including the type, number, and initial positions of transportation vehicles.

[0131] 2) Construction visualization simulation: Construction visualization simulation comprehensively considers user simulation interface design, data management, path planning, simulation logic, visualization, etc.

[0132] ① User interface: A GIS-based simulation interface provides a user interaction interface, facilitating users to input data, configure parameters, and view results. It allows users to adjust the speed, pause, continue, or reset the simulation process. Users are allowed to adjust the attributes of construction workers (such as speed, process priority, etc.) to observe simulation results under different conditions. Provide a feedback mechanism. During the simulation process, display information such as operation progress and resource consumption in real time, and ensure that users can timely understand the operating status and warning information of the system.

[0133] ② Data management: Store and manage data on obstacles, traffic routes, operation routes, and operation points. Store information on operation teams, process status, operation time, operation paths, operation mileage, traffic mileage, etc.

[0134] ③ Path planning: Path planning here includes two parts: traffic path planning and operation path planning. According to the traffic routes and the situation of obstacles, plan the traffic path from the camp to the operation area for the construction team, considering the restrictive conditions of different construction teams (such as the source vehicle cannot pass through certain traffic routes).

[0135] Automatically design the operation route. According to preset rules and algorithms, considering the distribution of operation points, automatically generate the operation route, with a process collaboration and conflict avoidance mechanism; allow users to manually adjust the operation route.

[0136] ④ Simulation Logic: Implement the function that the simulated construction team departs from the camp, moves along the traffic route and operation route, and executes the operation tasks. Specifically: Simulate the real moving speed and actions, and control the behaviors of the constructors, including departure, movement, operation, etc. Simulate the state changes of the operation process after the operation team arrives at the operation point, and simulate the remaining equipment in the warehouse after the operation team takes out the equipment. Handle the situations where the constructor encounters obstacles or restrictive conditions. Handle the coordination of the constructor in terms of time and space.

[0137] ⑤ Visualization: Adopt the animation technology combined with the map visualization solution to intuitively display the movement and operation of the construction team during the construction process. Specifically, depict the positions and movement trajectories of the constructors on the map in real time, and at the same time dynamically display the state changes of the operation process at the operation point. Introduce a timeline or progress bar as a visualization tool for the simulation progress. In each frame update of the animation, the positions of the constructors will be adjusted in real time, and the movement trajectories will be clearly shown by redrawing the map. The construction team will move along the established route in a vivid animation form, enabling users to intuitively observe every detail of the construction activities.

[0138] In addition, accurately update the positions of the constructors in a time-stepping manner, and automatically trigger the corresponding operation process state change logic when the constructor arrives at the operation point. If the construction team encounters obstacles or restricted sections, the system will quickly identify and automatically adjust the path planning to ensure the smooth progress of the construction process.

[0139] To ensure the efficient operation of this complex system, a solid backend architecture must be built to support a large amount of data processing and simulation calculations. At the same time, deeply optimize the front-end interface to ensure that the user interface remains smooth and responsive even under high-load conditions where multiple constructors are moving simultaneously.

[0140] 3) Simulation Data Analysis: Analyze the data generated by the simulated construction using the construction process evaluation system, evaluate the rationality of the construction auxiliary facilities, construction team configuration, equipment configuration, construction route planning, and construction time setting in the current simulation, and find the optimal combination by adjusting the above parameters.

[0141] 7. Data Analysis: The goal is to deeply mine the multi-dimensional data generated by physical entities, the real-time monitoring data of the construction process, and the construction simulation data, and comprehensively apply a series of analysis methods, such as statistical modeling, time series analysis, and data visualization technology, to reveal the hidden trends and correlations behind the data, and also predict future changes. Help project managers understand various situations in the construction process more deeply and provide strong support for decision-making.

[0142] Specifically, through the analysis results, project managers can gain insights into the bottlenecks in construction efficiency, the optimization space for resource allocation, and potential safety hazards. Thereby, they send instructions to the acquisition operation unit to adjust the production configuration and production plan, achieving refined management of production organization. At the same time, by analyzing the simulation data, the feasibility of different construction plans can be evaluated, the configuration parameters of the simulated construction can be adjusted, and continuous iteration and optimization are carried out until the theoretically optimal construction plan is found.

[0143] The results of data analysis are presented through an interactive visualization interface, making complex construction data intuitive and easy to understand, helping project managers quickly understand key information, and accelerating the decision-making process.

[0144] Through this embodiment, the method for building a digital twin platform based on seismic acquisition construction described in the present invention can be illustrated. It effectively improves the problem of numerous and miscellaneous construction data and lack of intuitive display. Through specific analysis of the data, it helps decision-makers review the project, identify efficiency bottlenecks, and optimize the construction process. At the same time, it provides an efficient general framework template for the construction of digital twin platforms for future similar seismic exploration projects.

[0145] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those of ordinary skill in the art should understand that the above embodiments do not limit the protection scope of the present invention in any form. Any technical solutions obtained by means of equivalent replacement and the like fall within the protection scope of the present invention. The parts not covered by the present invention are the same as or can be implemented by the prior art.

Claims

1. A method for building a digital twin platform based on seismic acquisition construction, characterized in that: The steps include: Step 1: Collect physical entity information: collect physical entity geographical elements, work units, static and dynamic attributes of work objects, working condition data and construction process data; Step 2: Build a twin database: Establish a data storage system including a seismic acquisition and construction business database, a map document database, a geographic information database, and a real-time status behavior database to receive, store and process data obtained by the data collector from the physical entity, and be able to send drive instructions to the physical entity; Step 3: Accurate digital mapping of information: Realize digital mapping of seismic acquisition projects, including three-dimensional display of geophysical construction elements, main construction conditions, real-time display of construction process, and data-driven interactive display; Step 4: Data monitoring and analysis: including construction process playback, construction behavior data analysis and construction evaluation, construction simulation and feedback mechanism.

2. The method for building a digital twin platform based on seismic acquisition construction according to claim 1, characterized in that: In step 1, the physical entity includes three parts: geographical elements, operation units, and operation objects: (1) Geographical elements: Geographical elements are divided into four categories: construction obstacles, travel routes, climate and weather conditions in the construction area, and construction auxiliary facilities; (2) Operation unit: As the core component, the operation unit is basically composed of two parts: the operator and the operation equipment. (3) Operation object: The operation object refers specifically to the blasting inspection point, which is divided into three core aspects: the geographical coordinates of the blasting inspection point, the process status of the blasting inspection point, and the construction quality of the blasting inspection point.

3. The method for building a digital twin platform based on seismic acquisition construction according to claim 1, characterized in that: In step 2, the construction of the twin database includes: (1) The seismic acquisition construction business database is used to store business data during the seismic acquisition construction process, including basic project information, construction plans, test information, and daily production information; (2) The drawing document library is used to store various drawings and documents in the process of seismic acquisition construction, including construction design, summary report, geological seismic map; (3) The geographic image library is used to store the geographic environment elements of the area where the seismic acquisition project is located, including topography, landform, geology and geographic element information; (4) The real-time database is used to store real-time behavior data of the work unit and the work object, including the real-time position, trajectory, and working condition of the work unit; the real-time process status of the gun inspection point, and position change information; (5) The construction of the twin database includes providing a data interaction interface between the data collector and the physical entity and other data acquisition software to ensure that the database can receive data from different sources and send necessary driving instructions to the physical entity.

4. The method for building a digital twin platform based on seismic acquisition construction according to claim 1, characterized in that: In step 3, accurate digital mapping of information includes: (1) Use 3D modeling technology to create virtual representations of seismic acquisition construction elements; (2) Real-time display of various construction elements during the construction process; (3) An interactive interface that allows users to perform operations such as zooming, rotating, and panning; (4) Realize two-way flow and comparative analysis between simulation data and actual collected data.

5. The method for building a digital twin platform based on seismic acquisition construction according to claim 4 is characterized in that: Three-dimensional modeling includes the modeling of geographic elements, work units and work objects, which is used to build a digital scene that accurately reflects the construction geographical environment and create digital work entities so that the behavior of these entities in the digital environment is as close as possible to the actual construction situation.

6. The method for building a digital twin platform based on seismic acquisition construction according to claim 5, characterized in that: The geographic element information modeling: data collection of geographic elements, construction of geographic element information model, and realization of three-dimensional display of the geographical environment of the construction area through comprehensive application of multi-source data; The three-dimensional modeling of the operation unit: The core of the data collection of the operation unit is to construct its geometric form. On this basis, the physical characteristic parameters and construction capacity attribute indicators are integrated, and the function of real-time display of working condition information is integrated to ensure that the operation unit model can accurately simulate and reflect the actual operation activities in the digital geographic environment; The three-dimensional modeling of the operation object: the abstract blasting points and shallow investigation points in the seismic exploration construction are converted into intuitive and visible three-dimensional entities, and their different process states are clearly displayed on the three-dimensional GIS platform through the morphology and color coding system.

7. The method for building a digital twin platform based on seismic acquisition construction according to claim 1, characterized in that: In the step three, efficient wireless bridging between the three-dimensional model of the acquisition unit and the physical entity, as well as real-time synchronization of dynamic change information of geographic elements, is achieved through data links; through an integrated data collection and processing mechanism, the geophysical exploration intelligence map software seamlessly transmits the information flow to the digital twin platform, building a real-time mapped mirror image of the physical world.

8. The method for building a digital twin platform based on seismic acquisition construction according to claim 1, characterized in that: The fourth step comprises: (1) Design a construction evaluation system to evaluate the construction results of the project and construction units; (2) Apply statistical methods and machine learning to perform pattern recognition and performance evaluation on construction behavior data; (3) Design a feedback loop system to optimize the actual construction strategy based on the evaluation and analysis results; (4) Build construction simulation functions, conduct digital simulation of earthquake construction, and generate simulated construction data.

9. The method for building a digital twin platform based on seismic acquisition construction according to claim 1, characterized in that: Through construction monitoring, various types of information on the construction site are presented to users in a scientific and reasonable manner. Through construction simulation, various scenarios that project managers may encounter during or before actual construction are simulated, including adjusting the construction time, the layout of auxiliary construction facilities, the configuration of construction equipment, and deploying different construction teams. Managers can simulate construction efficiency and resource consumption under different conditions, thereby optimizing construction plans and predicting possible challenges.

10. The method for building a digital twin platform based on seismic acquisition construction according to claim 1, characterized in that: Data analysis is used to deeply mine multi-dimensional data generated by physical entities, real-time monitoring data of the construction process, and construction simulation data. It uses a combination of analytical methods to reveal hidden trends and correlations behind the data, predict future changes, and help project managers better understand various situations in the construction process.

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