A method for connecting infrastructure operation data based on digital twin technology
Through the method of infrastructure operation data based on digital twin technology, the geometric conversion and material optimization of the three -dimensional model of infrastructure are performed, and the problem of low data through data through the intelligent control of the power grid has been solved. Application of technology in the power grid system.
Patent Information
- Application Number
- CN202210042122.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-01-14
- Publication Date
- 2025-01-24
- Estimated Expiration
- 2042-01-14
AI Technical Summary
In the intelligent control of power grids, the grid construction and operation methods have lagged behind, making it difficult to effectively combine power grid infrastructure operation with digital twin technology, resulting in low data connection efficiency and unstandardized model data.
Using the method of running data based on digital twin technology, through the geometric conversion and material optimization of the three -dimensional model of infrastructure, the data penetration and evaluation are realized. Specifically includes cross -section extrusion type component conversion, cable or hose type component conversion, material corresponding conversion, and BIM material conversion Standard balloon.
The efficiency and quality of data penetration have been improved, the standardization, unity and systematicization of model data have been enhanced, and the popularization of digital twin technology in the power grid system has been promoted, the workload of manual optimization is reduced, and duplicate and rework are reduced.
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Figure CN114419227B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of infrastructure operation, and in particular to an infrastructure operation data intercommunication method based on digital twin technology. Background Art
[0002] Since the concept of digital twin city was proposed, it has attracted wide attention from all walks of life and set off a research and construction boom. Digital twin city has become the mainstream model choice for local governments to promote the construction of smart cities. The industry also regards it as a vane of technological innovation and a new opportunity for development. Digital twin applications have been launched in some fields. At the same time, in order to establish a "smart grid" of digital twins, a unified grid information model that "goes from real to virtual and combines virtual and real" is built, and the intelligent control of the grid is realized through the static and dynamic data of the model. At present, in the intelligent control of the grid, the construction and operation methods of the grid are already backward, so it is urgent to combine the grid infrastructure operation with digital twin technology. Summary of the invention
[0003] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide an infrastructure operation data integration method based on digital twin technology.
[0004] The purpose of the present invention can be achieved by the following technical solutions:
[0005] A method for connecting infrastructure operation data based on digital twin technology, the method comprising:
[0006] Infrastructure operation data integration;
[0007] Assessment of the connectivity of infrastructure operations data.
[0008] The infrastructure operation data integration includes geometric transformation of the infrastructure three-dimensional model and material optimization of the infrastructure three-dimensional model.
[0009] The geometric transformation of the infrastructure three-dimensional model includes the conversion of cross-section extrusion type components and the conversion of cable or hose type components.
[0010] The cross-section extrusion type component conversion is specifically as follows:
[0011] In the BIM model, the way to generate components is the same as the extrusion command in Max. According to the difference in the length of the generated components, the number of editable polygonal component faces exported by Revit is several to hundreds of times the number of editable polygonal faces generated in the same way in 3ds Max software, which is:
[0012] (1) According to the model structure and name, obtain the first character of the extrusion type component and input it into the Script script, and the script selects all extrusion type components;
[0013] (2) Select individual components one by one, convert them into editable polygons, delete the faces other than the first and last ends, and use the bridge or extrude command to rebuild the model;
[0014] (3) Reset the smoothing groups for all optimized components.
[0015] The cable or hose type component conversion is specifically as follows:
[0016] In the Revit export model, linear components are converted to editable polygons. The number of faces of the editable polygon components exported by Revit is dozens to tens of thousands times the number of editable polygon faces generated by spline in 3ds Max software.
[0017] (1) Measure the cross-sectional diameter of the linear component to obtain data R, define the minimum vertex value N at the turning point of the linear component cable according to the vertex value at the turning point of the linear component, measure the distance between the turning points of the linear component, and define the minimum turning distance threshold L;
[0018] (2) Convert the linear component geometry from editable mesh to editable polygon;
[0019] (3) Index all vertex sets of geometric elements and sort them according to the distance from the first vertex;
[0020] (4) Select the center values of the turning points from the vertex set in sequence;
[0021] (5) According to the vertex center value set of the turning point obtained by the algorithm, select points whose distance between each other is greater than L and regenerate the spline;
[0022] (6) Set the length, segments and material of the spline.
[0023] The basis for selecting the center value of the turning point vertex from the vertex set is:
[0024] A set of subvertices in a vertex set whose distances to each other are no greater than R and whose number of elements is no less than N.
[0025] The material optimization of the infrastructure three-dimensional model includes material corresponding conversion and BIM material conversion Standard material ball.
[0026] The material corresponding conversion is specifically as follows:
[0027] In the BIM model export model, the material type of all geometric bodies is Autodesk Material type, and its material information contains the material ball name. Based on this, after the BIM model is imported into the 3ds MAX software, a material library is established in the 3ds MAX software, and a reference relationship is established according to the material ball name. After standard naming, the imported material balls are replaced with the material balls in the material library in batches according to the material ball name, and the UVW mapping coordinates of the geometric bodies are reassigned to achieve the effect of improving the aesthetics of the model.
[0028] The BIM material conversion Standard material ball is specifically:
[0029] For other material balls that are not named in a standard way and cannot be automatically replaced, in order to ensure that the color effect of the BIM model is displayed normally in max, the RGB color values in the material ball are extracted, and the newly extracted color values are used to generate the Standard material used by 3dsMAX or the corresponding specific texture map, and further combined with the attribute information of the BIM model to read the characteristic information of the object to accurately correspond to the texture map.
[0030] The evaluation of infrastructure operation data integration includes data integration efficiency, infrastructure operation handover data and infrastructure operation data fusion tools. The infrastructure operation data fusion tools specifically include a three-dimensional design model structure reconstruction plug-in, a three-dimensional design model material optimization plug-in and a three-dimensional design model geometry optimization plug-in.
[0031] Compared with the prior art, the present invention has the following advantages:
[0032] 1. The present invention has universal adaptability, is convenient and universal for data penetration technology, and lays a solid foundation for the promotion of penetration technology and results. Data penetration technology and standards can not only provide full life cycle data support for future digital twin applications, but also improve the construction level of model data itself in digital twin power grids, and enhance the standardization, unification and systematization of model data. At the same time, it has positive reference value and guiding significance for the digital twin data of the entire power industry.
[0033] 2. The present invention has broad application and promotion value, can achieve good social and economic benefits, and provide a template and demonstration for the infrastructure operation data penetration of digital twin technology, thereby promoting the popularization and application of digital twin technology in the power grid system. In addition, the present invention can also greatly improve the work efficiency of data penetration, reduce unnecessary duplication and rework, and at the same time have a good social demonstration effect. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 This is a diagram of the method architecture of the present invention.
[0035] Figure 2 Run diagram of the plugin for 3D design model structure reconstruction.
[0036] Figure 3 A running diagram of the plugin for optimizing the material of 3D design models.
[0037] Figure 4 Diagram of running the plug-in for 3D design model geometry optimization. DETAILED DESCRIPTION
[0038] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.
[0039] In 2017, Professor Grieves defined digital twins as: A digital twin is a collection of virtual information structures that can fully describe a potential or actually manufactured physical product from the microscopic atomic level to the macroscopic geometric level. Ideally, a digital twin can contain all information that reflects its physical product.
[0040] In this definition, digital twin refers specifically to digital twin products or digital twins. Digital twins are divided into two types: Digital Twin Prototype (DTP) and Digital Twin Instance (DTI). The simulation operation of digital twins requires the support of the digital twin environment (DTE), which is a digital mirror of the physical environment in which the product is located. The digital twin and the digital twin environment together constitute the digital twin space (Digital Twin Space), which is basically synonymous with the virtual space.
[0041] like Figure 1 As shown, the present invention provides an infrastructure operation data connection method based on digital twin technology, which mainly includes the following contents:
[0042] 1. Analysis of differences in infrastructure data
[0043] The expressions of the geometry, material, and data of the infrastructure model and the operation model are the same. When the infrastructure model is applied to the operation model, it needs to be converted and processed according to different usage requirements. The information carried by the model data is different. The infrastructure focuses on design and construction data, while the operation focuses on the appearance and connection relationship of the equipment model. The model depth is different. There is no operating work mark set in the infrastructure model. Due to the different software used, the model formats are different and it is difficult to edit each other.
[0044] 1.1 3D design model data analysis in the infrastructure stage
[0045] (1) The model information in the infrastructure phase is complete, and the corresponding steps are supplemented with data throughout the project construction process, which is an important source of basic information for the digital grid. It is necessary to maintain and transfer it during operation to complete the use of the project throughout its life cycle.
[0046] (2) The model in the infrastructure stage is well-organized, reasonably classified, and has complete equipment models and technical parameters. It has been carefully checked at multiple stages, including design, review, construction, and delivery. The source of the data is traceable, and it is secure and reliable.
[0047] (3) The models in the infrastructure phase are expressed in the same way in terms of geometry, material, and data format. Except for the differences in software and formats currently used, the models can be correctly read in all phases.
[0048] (4) The model appearance, data application direction and model depth of the infrastructure stage model vary according to the application environment, and relevant technical standards need to be supplemented and connected.
[0049] 1.2 3D model data analysis during operation
[0050] The 3D model in the operation stage is similar to the 3D design model in terms of geometric appearance, but there are several differences due to the modeling of the infrastructure department in the form of primitives. First, the basic primitives of the 3D design model do not contain points, lines, and surfaces; second, complex geometric bodies cannot be displayed using primitives; third, the 3D design model does not take into account the complex and intuitive textures of the site; fourth, compared to the 3D design model that can carry a large amount of attribute information of the 3D modeling object itself, the 3D modeling in the operation stage cannot directly contain a large amount of data information.
[0051] 1.3 Comparative analysis of infrastructure operation 3D data
[0052] Digital design models are mostly modeled using BIM software represented by Revit. Its model construction is a parametric process. The main purpose of the model is information management. It is positioned to integrate the information display required in the project life cycle, which is convenient for material management during engineering design and construction, engineering cost evaluation and other engineering data verification. In terms of material texture, Revit modeling software uses Autodesk Material material. Digital design models can directly export polygonal format models, but the number of model faces after export is large and the material cannot be recognized. When the model is displayed, the fluency and aesthetics are very different from the digital power transmission and transformation management model. The digital power transmission and transformation management model mostly uses polygonal modeling software represented by 3ds Max. (The implementation process of the present invention relies on 3ds Max Software Script script,) The model is mainly used to display the appearance and does not have the function of information management, but the model details are highly controllable. In the management and control display platform, the digital power transmission and transformation production management model can run smoothly, and the model appearance is consistent with the real scene, which is convenient for users of the management and control platform to use. Therefore, without considering the model display effect, focusing on optimizing the number of model faces and materials can realize the rapid import of digital design models into the management and control display platform, and realize their use in production, operation and maintenance and overhaul stages.
[0053] 2. Model format and data integration method
[0054] 2.1 Methods for connecting infrastructure operation data
[0055] 2.1.1 Geometric transformation of infrastructure 3D models
[0056] A. Section extrusion type component conversion
[0057] In the BIM model, many components are generated in a way similar to the extrusion command in max. Due to the difference in the length of the generated components, the number of editable polygon components exported by Revit is often several times or even hundreds of times the number of editable polygon components generated in the same way in 3ds Max software.
[0058] During a large number of optimization processes, it was found that there are still rules to follow in the optimization process of extrusion-type components, and its characteristics are as follows:
[0059] 1. For components with the same first character, the generation method is basically the same.
[0060] 2. After converting to editable polygons, under the polygon level command, extrude the first and last ends of the component, with face IDs 1 and 2 respectively.
[0061] The polygonal structures at both ends of the extruded component are regular, and the model can be reconstructed based on the polygons at both ends. Based on the above characteristics, the optimization plan can be formulated as follows:
[0062] 1) List the first paragraph of characters of the extrusion type components according to the model structure and name, and input them into the Script script, which will select all the extrusion type components;
[0063] 2) Select individual components one by one, convert them to editable polygons, delete the faces other than the first and last ends, and use the bridge or extrude command to rebuild the model;
[0064] 3) Reset smoothing groups for all optimized components.
[0065] B. Cable or hose type components
[0066] In the Revit exported model, many linear components will also be converted to editable polygons. Due to their particularity, the number of faces of the editable polygon components exported from Revit will be dozens or even tens of thousands of times the number of editable polygon faces generated by spline in 3ds Max software. In 3ds Max software, linear objects made by renderable spline can dynamically modify the cross section as needed to achieve the smoothest display effect.
[0067] 1. During the optimization of linear components, it was found that the linear model generated by Revit software has the following characteristics:
[0068] 2. All vertices in a linear component are randomly generated and distributed without any order. However, the first vertex of a component is generally located at the first end face of the linear component.
[0069] 3. Compound linear components, each line is a standard editable polygon element.
[0070] 4. Generally speaking, the two end faces of a linear component geometry are composed of 24 vertices respectively.
[0071] 5. Among the vertex sets that constitute the end face polygon of the linear component, the maximum distance from any vertex to any other vertex is the wire diameter of the linear component.
[0072] 6. After conversion to editable polygons, the number of cross-section vertices at the turning point of the linear component is greater than the number of cross-section vertices at other non-turning points.
[0073] Based on the above characteristics, the optimization plan can be formulated as follows:
[0074] 1) Measure the cross-sectional diameter of the linear component to obtain data R, and define the minimum vertex value N at the turning point of the linear component cable according to the vertex value at the turning point of the linear component. Measure the distance between the turning points of the linear component and define the minimum turning distance threshold L.
[0075] 2) Convert the linear component geometry from editable mesh to editable polygon.
[0076] 3) Index all vertex sets of the geometric element and sort them according to the distance from the first vertex.
[0077] 4) Select the center values of the turning points from the vertex set in turn. (The judgment basis is: the sub-vertex sets whose distances between each other in the vertex set are not greater than R and the number of elements in the set is not less than N.)
[0078] 5) According to the vertex center value set of the turning point obtained by the algorithm, select points whose distances are greater than L and regenerate the spline.
[0079] 6) Set the length, segmentation, material, and UV of the spline.
[0080] 2.1.2 Automatic optimization of infrastructure 3D model materials
[0081] A. Material conversion
[0082] In the BIM model export model, the material type of all geometric bodies is Autodesk Material type material, and its material information contains the material ball name. Therefore, after the BIM model is imported into the 3ds MAX software, a material library can be established in the 3ds MAX software, and a reference relationship can be established based on the material ball name. This also puts forward new naming requirements for the material settings when modeling in the Revit software. Under the standard naming convention, the imported material ball can be automatically replaced with the material ball in the material library in batches according to the material ball name, and the UVW mapping coordinates of the geometric body can be re-assigned to achieve the effect of improving the aesthetics of the model.
[0083] B.BIM material conversion Standard material ball
[0084] For other material balls that are not named in a standard way, it is impossible to automatically replace the material. Therefore, in the process of research, in order to ensure that the color effect of the BIM model is displayed normally in max, it is necessary to extract the RGB color value in the material ball, and use the newly extracted color value to generate the Standard material used by 3ds MAX or the corresponding specific texture map. Furthermore, the characteristic information of the object (cement wall, brick wall, cement road, brick pavement) can be read in combination with the attribute information of the BIM model to accurately correspond to the specific texture map. In previous work, these tasks were completed manually, and the workload of replacing the material ball was huge, and the replacement process was prone to errors.
[0085] 2.2 Evaluate and establish a method for connecting infrastructure operation data
[0086] 2.2.1 Data Transmission Efficiency
[0087] The data penetration technology based on digital twin technology greatly reduces the workload of manual optimization in the process of converting digital design models to digital power transmission and transformation management models, improves the efficiency of conversion work, and enables digital design models to be quickly used in production, operation and maintenance, and overhaul stages. To a certain extent, it improves the safety of power grid operation and maintenance management and overhaul processes. In terms of economic benefits, the modeling cost required for data penetration based on digital twin technology using digital design results is greatly reduced compared to manual optimization. At the same time, the extensive application of data penetration based on digital twin technology in the process of converting digital design models to digital power transmission and transformation management models will inevitably have a far-reaching impact on the power industry and bring extremely special significance.
[0088] 2.2.2 Infrastructure operation handover data
[0089] The infrastructure operation transfer data module is aimed at the automated data transfer between the infrastructure platform and the equipment platform, which belongs to the horizontal data connection application scenario. The infrastructure operation transfer data module optimizes the comprehensiveness, timeliness and data flow tracking of the transfer data.
[0090] In terms of data comprehensiveness, infrastructure operation handover data includes both structured infrastructure data such as project information and section information, as well as unstructured file data such as process documents and design models.
[0091] In terms of the timeliness of data transfer, by integrating the infrastructure operation transfer data module with the equipment department's digital transfer system, it is possible to achieve scheduled and real-time transfer of infrastructure operation data, thereby improving the timeliness of horizontal data connectivity.
[0092] In terms of handover data flow tracking, the infrastructure platform can obtain the association table between the component design ID and the physical ID from the material push interface and import it into the infrastructure platform design review and control module, so that the generated design digital model data and the completed digital model data contain the physical ID of the component. The design digital model files uploaded by the design unit in the construction drawing review module of the infrastructure full process system and the completed digital model files uploaded in the completed delivery module all contain the physical ID of the component. The handover data pushed by the infrastructure operation handover data module to the data center can effectively support the realization of digital twins.
[0093] 2.2.3 Infrastructure Operation Data Fusion Plug-in
[0094] The infrastructure operation data fusion modeling plug-in mainly performs semi-automatic optimization of the 3D design model from three aspects to meet the fusion of infrastructure operation data. First, there are large differences in the data structure organization between the 3D design model and the operation ledger. The plug-in can help modelers who lack professional knowledge of electricity to quickly interpret the 3D design model and reconstruct it into a 3D operation model; second, the 3D design model pays more attention to expressing model attribute information. The model itself lacks real model materials, but the 3D design model has a set of mature and reliable model material libraries. Through the mapping of the infrastructure operation model material library, the 3D model material library conversion from infrastructure to operation can be completed efficiently. The plug-in can greatly shorten the optimization time and enable the material information of the infrastructure operation model data to be interoperable; third, the face reduction plug-in. When constructing some geometric bodies, the 3D design model and the 3D operation model use different geometric algorithms, which leads to the generation of redundant triangular faces when doing data fusion. The plug-in face reduction can effectively reduce the generation of unnecessary triangular faces and improve the rendering efficiency of the 3D operation model, so that heavyweight 3D design models can also be used in equipment operation 3D applications to achieve infrastructure operation data fusion.
[0095] (1) 3D design model structure reconstruction plug-in
[0096] like Figure 2 As shown, the usage process of the 3D design model structure reconstruction plug-in is as follows:
[0097] Click the "Load ledger" button to load the equipment ledger information (equipment ledger data ready for operation);
[0098] Open and load the 3D design model (prepare the 3D design model for data fusion, convert the format from rvt to fbx);
[0099] Click the "Automatically Associate Ledger" button to reconstruct the equipment station data onto the loaded 3D design model (using the plug-in to achieve the integration of model data from infrastructure to operation);
[0100] Due to other force majeure factors (logical relationship problems and data quality problems), some ledger data may not be associated. You can click "Show unassociated" to highlight it, which can prompt the modeler to handle it manually.
[0101] Click the "Automatic Structure Tree" button to partially reconstruct the 3D design model in the form of an equipment inventory structure (the integration of the model structure from infrastructure to operation is achieved through plug-ins);
[0102] Due to other force majeure factors (logical relationship problems and data quality problems), some ledger structures may not be reconstructed. You can click "Show unprocessed structures" to highlight them, which will prompt the modeler to handle them manually.
[0103] Finally, by clicking "Tree Structure Check", the entire 3D design model structure reconstruction and data fusion can be checked, and the entire process inspection results can be displayed in the listener of the 3D modeling software to complete the reconstruction of the 3D design model structure.
[0104] (2) 3D design model material optimization plug-in
[0105] like Figure 3 As shown, the process of using the 3D design model material optimization plug-in is as follows:
[0106] Open and load the 3D design model (prepare the 3D design model for data fusion, convert the format from rvt to fbx);
[0107] Click "Load material library configuration" (through the digital twin connection project, the BIM model material library of two power stations was interpreted, and about 30 commonly used materials for 3D design models were determined. Some representative materials, such as cement, grass, metal, glass, and insulators, were selected and compared with the public texture library of the running 3D model to complete the texture optimization of the 3D design model. Considering the diversity of material textures of 3D models of different power stations, the modeler can adjust the material library configuration file in advance, and then the plug-in can flexibly optimize the model texture by loading the material library configuration file);
[0108] Click "One-click material conversion" (to achieve the integration of 3D model materials from infrastructure to operation. Through the matching model and material library configuration files, the texture of the running 3D model can also be mapped back to the 3D design model);
[0109] Some 3D design model materials that cannot be recognized by the plug-in can be highlighted by clicking the "Import failed conversion materials into the material editor" button, which can prompt the modeler to manually process them in the material editor in the modeling software.
[0110] If you encounter some model materials that need to be merged, you can select multiple material balls that need to be merged and click "Merge Similar Materials" to complete the merging process.
[0111] (3) 3D design model geometry optimization plug-in
[0112] like Figure 4 As shown in the figure, the process of using the 3D design model geometry optimization plug-in is as follows:
[0113] Optimization of 3D design model geometry Different geometric faces involve different optimization algorithms, so different optimization schemes are designed for different 3D design model geometries;
[0114] First, click the "Add" button to select the model to be optimized (remember not to select different types of geometries at the same time); redundant geometries can be selected and click "Delete" to remove;
[0115] The plug-in has designed 6 different optimization schemes for 3D design models: "Linear Component Optimization", "Columnar Component Optimization", "Automatic UV Optimization", "Instantiable Component Combing", "Brute Force Calculation", and "Model Instantiation". These six types of geometric optimization schemes can basically meet most of the 3D design model geometry reduction optimization problems encountered in modeling. Through efficient plug-in surface reduction, the weighted 3D design model can also be used in the 3D application of equipment operation.
[0116] Considering the tediousness of geometric surface reduction optimization of 3D design models, when modelers are faced with 3D design models with simple geometric types, they can directly click the "One-click conversion (use with caution)" button to perform surface reduction optimization.
[0117] Example
[0118] The digital twin applications of the present invention throughout the life cycle include substation construction, substation equipment status management applications, power station simulation training applications, power station simulation training, transmission line status management, six protections for overhead transmission lines, and important line crossing management.
[0119] 3.1 Application in substation construction
[0120] 3.1.1 Substation site selection application
[0121] In the process of substation design and site selection, the field real scene environment is simulated in the system, and multiple substation site options are compared and the design results are displayed in three dimensions. Designers can easily view and pay attention to the topography of the area in two or three dimensions, and compare multiple substation and power station sites in combination with planning data and other constraints to improve the feasibility and accuracy of the work. At the same time, relevant information such as the overall land use planning map can be directly superimposed on the three-dimensional map to intuitively display various planning restriction areas, so as to meet the planning and layout requirements of the selected site for other departments such as transportation, oil fields, and residential areas during the site selection process. The distance between the alternative site and the boundaries of each planning area can be directly measured in a three-dimensional environment, and relevant information such as the substation, power fence, structure, and access road can be superimposed on the three-dimensional topography of the site. Accurate earthwork balance analysis and high-precision planning and design work can be directly performed based on the alternative site.
[0122] 3.1.2 3D visualization application of substation construction
[0123] A three-dimensional visualization construction twin of the substation is established, and the twin simulates the substation and the equipment in the station, so as to manage the physical structure, equipment parameters and other information of the substation equipment, and realize the digital twin visualization management during the construction stage of the power station. For the substation, compared with traditional drawings, reports and electronic files, the results transfer can be realized in a variety of unique forms such as full digitalization, system modularization, and three-dimensional visualization, providing a complete data management and distribution service system. At the same time, the basic surveying and mapping data, equipment information, equipment and facility three-dimensional models and other data and information used for design are transferred to the operating unit, so that the operating unit immediately has a set of information management system for the substation, realizing seamless handover of design and management.
[0124] 3.2 Application of Substation Equipment Status Management
[0125] 3.2.1 Equipment status tracking and positioning
[0126] Through various equipment sensors, environmental monitoring devices, and image recognition, the power grid equipment and facilities that the equipment owner is concerned about are tracked. With the life cycle as the timeline, the digital twin summarizes all major events such as failures, defects, early warnings, alarms, evaluations, and maintenance that occur from the start of operation to the retirement of the equipment. Users can track the status of power grid equipment thousands of miles away.
[0127] 3.2.2 Operational risk warning
[0128] By regularly triggering the automatic scanning function of the digital twin, the risks inside and outside the substation digital twin are scanned, and possible defective equipment, degraded equipment, online monitoring abnormal equipment, overloaded equipment, and aging equipment are analyzed. These hidden danger prediction information is released in real time, and early warning methods are used on multiple platforms to remind equipment owners to pay close attention and promptly eliminate the upcoming safety hazards in the real power grid, ensuring the safe and stable operation of the power grid in the real world.
[0129] 3.2.3 Assessment indicator reminder
[0130] According to the production assessment indicators of the State Grid Corporation or provincial companies configured by the system, the digital twin will scan the indicators that are about to exceed the time limit and exceed the standard in real time, automatically generate a briefing and send it to the mobile device of the indicator device owner as a reminder, so as to avoid the situation where the indicators are ignored due to urgent work. And generate an assessment indicator report every month to summarize and analyze the exceeding of standards and timeouts.
[0131] 3.2.4 Professional Assisted Management
[0132] According to the daily management needs of the operation and maintenance profession, the platform extracts real-time data from various application systems, performs intelligent statistics and automatic analysis based on customized models, and calls special templates solidified in the system to quickly generate complete and detailed operation analysis reports. It frees managers from the cumbersome data analysis work and improves work efficiency.
[0133] 3.2.5 Operation Ticket Verification
[0134] Formulate power plant operation rules in the existing system and interconnect with the real-time data platform data in the station to ensure that the switch status and equipment power-on status in the digital twin are completely consistent with the on-site. Before executing the operation ticket on-site each time, the operation ticket steps can be easily simulated in the twin scene. The system automatically performs calculations based on the current operation mode to verify the correctness of the operation steps and dynamically display the operation status of the digital twin of the future power plant equipment, so as to achieve accurate operation ticket deduction of the maintenance plan and assist in optimizing the maintenance plan.
[0135] 3.2.6 Security and control environment
[0136] The use of digital twin technology can highly restore the characteristics of the real power grid on-site environment. The simulation and control of the work ticket operation content and the formulation of the emergency repair plan can be carried out in the digital twin, which can realize the "zero cost" rehearsal of the plan and effectively improve the safety prevention capabilities of the operators. At the same time, the constructed twin scene can also be used to assist the management to control the real on-site environment information such as equipment deployment, equipment operation status, meteorological disasters, etc. at the maintenance and emergency repair site operation points, improve the authenticity of the rehearsal, and reduce the cost of operation and maintenance security measures.
[0137] 3.2.7 Mobile Operation
[0138] During daily equipment inspections, mobile operating equipment is used in conjunction with digital twins to timely understand basic equipment information, historical defect information, and spare parts information, supporting the interaction between on-site equipment owners and systems, and on-site operators and remote commanders.
[0139] 3.3 Power plant simulation training application
[0140] 3.3.1 Simulation training
[0141] By using highly restored three-dimensional scenes, new employees at the converter station can be familiar with the equipment. In the two-ticket verification module, personnel can be trained in operation and inspection simulation to prevent misoperation. By using immersive wearable devices, the power grid environment can be realistically restored to meet the requirements of real simulation.
[0142] 3.3.2 VR / AR / MR
[0143] Based on virtual reality (VR) technology, we develop a refined management system for converter stations (UHV stations), build a real-time correlation function between three-dimensional scenes and the physical information, operation information, and online monitoring information of power grid equipment, and conduct virtual roaming inspections by wearing VR equipment to remotely understand the operating status of power grid equipment in real time.
[0144] Based on virtual reality (AR) technology and mixed reality (MR) technology, we have developed a function that can overlay and display the corresponding equipment information or three-dimensional model after scanning the specific identification image of the power equipment through MR smart glasses during the field inspection process.
[0145] 3.4 Transmission Line Status Management Application
[0146] The operating status of a transmission line refers to the full operating status of the entire transmission line in the natural environment, where it can withstand normal power loads and allow the maximum power load to be transmitted all day long. The status management of transmission lines mainly includes the management of foundation status, tower status, ground wire status (defects), insulator status, and ancillary facilities status.
[0147] So far, the state management of power transmission lines is still carried out by enterprise management and experience management, lacking an efficient management system and method. If BIM technology is used to build a power transmission line state management model with relevant project information data as the model basis, it has coordination, visualization, simulation, and optimization functions, and can optimize the efficiency of power transmission line state management by taking advantage of its advantages in three-dimensional simulation, visual inspection, and accurate calculation of engineering quantities.
[0148] The steps for applying BIM technology are as follows:
[0149] The application of BIM technology in transmission line status management is divided into three main steps: model establishment, data integration, and technology application. (1) Model establishment. Import the model established by BIM software using the international IFC standard and exchange it through the data interface. Generally, the establishment of BIM model contains a three-dimensional model of all parameter information related to the transmission line. Associate the 3D model components with the regular scanning time to form a 4D progress model. (2) Information integration. After the model is established, the established 3D and 4D models are integrated through the information integration platform to form a variety of information models. Different 3D and 4D project management software are used to complete the information integration and realize engineering information sharing and data access. (3) Technology application. According to the needs and content of project management, the 3D and 4D models based on BIM technology software and the current BIM technology integrated 3D and 4D models are used to monitor and analyze the status of the transmission line. When applied to the status management of the transmission line, a holographic and visible data archive can be established.
[0150] 3.4.1 Basic state management
[0151] Based on the digital twin data, the changes in soil layers, prefabricated parts, slope protection, etc. are determined according to the actual situation to achieve visual management.
[0152] So far, the 2D management method has been adopted. With the computer, we can store 2D tables, diagrams and other data on the computer's hard disk, which brings us a lot of convenience, but this 2D management method does not give full play to the advantages of computer data management. On the other hand, the current detection mainly relies on visual methods during the inspection process to see whether there are cracks or structural damage in the foundation, so as to judge the foundation status and assess the risk. This method has a certain degree of subjectivity, and cannot accurately reflect the deformation process of the foundation. It is also difficult to compare with the initial state of the foundation. Only when the foundation undergoes a more obvious change can it be observed that there is a problem with the foundation status. Although BIM technology three-dimensional geological modeling is an immature field, simple terrain simulation can be performed.
[0153] 3.4.2 Tower Status Management
[0154] Based on the digital twin data, it is compared with the actual situation to indicate the integrity of the poles, the inclination of the pole tower, the corrosion of the tower materials, the presence of bird nests and their locations, etc., to achieve visual management.
[0155] Conventional power line inspection technology mainly includes two methods: manual inspection and helicopter inspection. The manual inspection method is that the inspection personnel hold cameras, infrared thermal imagers and other equipment, walk or drive to each tower to monitor and record the operation status of the transmission line according to the contents specified in the inspection manual. Generally, it includes daily inspection operations, infrared temperature measurement operations, special training operations for anti-pollution flashover, special training operations for wind and flood prevention, etc. Helicopter inspection means that the helicopter flies along the transmission line, and the staff observes and records the abnormal points along the line with the naked eye or airborne camera equipment.
[0156] The quality of the above inspections mainly depends on the professional skills of the staff. my country has a high demand for electricity. At the same time, most cities in my country are actively being built, and urbanization construction is constantly deepening, resulting in a rapid increase in the number of overhead transmission lines in my country. In this case, the workload and difficulty of overhead transmission line inspections are increasing rapidly. If the traditional manual inspection work method is still used, the daily work of overhead transmission lines will be difficult to be effectively guaranteed. The most effective way is to introduce advanced science and technology into the detection of overhead transmission lines. In order to solve the problem of line inspection, BIM technology is used to establish a holographic visualization data file for the tower during manual inspection or helicopter inspection.
[0157] 3.4.3 Ground Wire Status (Defect) Management
[0158] The digital twin data is compared with the actual situation to indicate the location of the broken strands of the ground wire and the slippage of the ground wire anti-vibration hammer, etc., to achieve visual management.
[0159] The state of the ground wire is determined by several state quantities, and the importance of these state quantities varies. There are 7 basic state quantities for the ground wire: the number of broken strands in the overhead transmission line; the damage and rust of the ground wire; the sag deviation of the ground wire; the sag deviation of the phase-to-phase sag of the ground wire; the sag deviation of the same-phase conductor; the conditions of the conductor connector and the ground wire connector; and the strength test value of the ground wire.
[0160] 3.4.4 Insulator status management
[0161] Based on the comparison between the digital twin and the actual situation, the position of the residual hammer of the glass insulator, the condition of the synthetic insulator and hardware, etc. are marked to achieve visual management.
[0162] The state of the insulator is determined by several state quantities, and the importance of these state quantities varies. There are 6 basic state quantities for insulators: the surface condition of the insulator; whether the creepage distance meets the numerical requirements of the creepage distance under the pollution level; the zero value rate and self-explosion rate of porcelain insulators; the damage, cracking and aging of synthetic insulators; the condition of the locking pin; and the bending and loosening of the steel feet.
[0163] BIM technology is used to establish a 3D insulator status model of the transmission line and insulators. When glass insulator hammers and synthetic insulators are found to be damaged, cracked, aged, or their hardware is damaged, the location and geographic location of the damaged insulators and hardware can be marked on the 3D ground wire status model, and the location and geographic location of the damaged insulators and hardware can be marked on the visual and browsable screen in the background to achieve visual management.
[0164] (2) Before and during maintenance and renovation, BIM technology is used to record the data of the renovation process. It is necessary to re-establish the 4D model, update the data records, and keep the overhaul and renovation records. The status after maintenance and renovation can be evaluated through long-term information collection and quantification.
[0165] 3.4.5 Status management of auxiliary facilities
[0166] The scanning results submitted based on the design are compared with the actual situation, and the conditions of pole number plates, ground warning signs, anti-collision facilities, etc. are marked to achieve visual management.
[0167] 3.5 Application in the "Six Preventions" of Overhead Transmission Lines
[0168] For key UHV channels, relevant work on line risk management needs to be done well, especially for dense transmission channels, which are the top priority of professional line management.
[0169] 3.5.1 External damage (wildfire) risk management
[0170] The digital design results include a description of the conditions around the channel. By modeling the environment around the channel, it helps to assess the risk of external fire (wildfire) fire.
[0171] 3.5.2 Risk management of windage tripping
[0172] Using the results of digital design, the jumper of the tension tower and the air gap of the straight tower can be modeled, and then the line's anti-wind deflection tripping ability can be verified, which is especially suitable for calculating the ability to resist squall line winds. Typhoon risk assessment can be considered in two parts. First, the wind speed warning model is used to compare the typhoon information provided by the meteorological station with the design wind speed of the lines that may be affected in the wind circle. Since the design wind speed is determined by the urban wind pressure map, it is the maximum wind speed that the line can bear on a macro level. For whether a wind deflection failure occurs, it is also necessary to judge the wind deflection angle.
[0173] 3.5.3 Risk management of lightning tripping
[0174] By utilizing the results of digital design, it is possible to simultaneously obtain three-dimensional information of poles, towers and terrain, thereby more accurately calculating the lightning protection level of each tower and, in turn, estimating the risk of line lightning tripping.
[0175] Transmission lines generally cross a variety of different terrains, and the number of lightning strikes they suffer is significantly different. It is not only related to the terrain. Different landforms will result in different numbers of lightning strikes. The number of lightning strikes in built-up areas and vegetation areas in plain areas is significantly different. Therefore, the terrain slope and aspect analysis can be performed based on the three-dimensional terrain data, and the risk of lightning tripping can be analyzed based on this. The analysis results can be used as a decision-making basis for lightning tripping risk management.
[0176] 3.5.4 Risk management of pollution flashover
[0177] By utilizing the results of digital design, the external insulation of each tower can be digitally modeled, and the line's ability to resist pollution flashover can be verified.
[0178] This project takes the insulator pollution process into consideration and uses the effective pollution accumulation days as the basis for pollution flashover risk prediction.
[0179] Pollution flashover risk forecasting process: Calculate the cumulative rainfall of consecutive rainy days up to the current day (ten days) every day and every ten days according to the daily rainfall monitoring data and the ten-day rainfall forecast data, calculate the dissolution coefficient k, and then calculate the effective pollution accumulation dry day data. When the effective dry day number in a certain area reaches the alarm value, the corresponding alarm information will be issued to the lines in the area, and the lines in the grid will enter the line risk set.
[0180] 3.5.5 Risk management of ice hazards
[0181] By utilizing the results of digital design, we can establish the state equation of the continuous gear of the line, and then verify the line's anti-ice capability. Combined with environmental modeling, we can also evaluate the risk of dancing.
[0182] The "Technical Regulations for Meteorological Survey of Power Engineering" (DL / 5158-2002) issued by my country's power industry was compiled by the Southwest Electric Power Design Institute, which briefly stipulates the principles for ice zone division. Ice zones are divided into no ice zone (0mm), light ice zone (5-10mm), medium ice zone (10-15mm), heavy ice zone (15-20mm), relatively heavy ice zone (20-30mm) and extremely heavy ice zone (40mm or more). DL / 5158-2002 also stipulates that the basis for ice zone division mainly includes: ① calculation and analysis results of design ice thickness and related factors (ice cover types, various correction parameters) at each point on the line; ② analysis results of the causes of ice cover and meteorological conditions that affect ice cover; ③ calculation and analysis results of ice cover at regional meteorological stations and ice observation stations; ④ results of terrain conditions, altitude and vegetation classification; ⑤ results of segmentation classification of air flow direction and line direction; ⑥ design ice thickness values, operation and maintenance conditions of existing power projects and postal and telecommunications lines along the line; ⑦ ice cover analysis results in records or reports of ice and snow disasters in neighboring areas.
[0183] 3.5.6 Risk management of bird damage
[0184] By utilizing the results of digital design, a bird damage model for tower strings can be established, and combined with the bird distribution map, the bird damage risk can be assessed.
[0185] 3.6 Application in the management of important intersections on the line
[0186] By using the results of digital twins, the stress during installation can be calculated, and then the line state equation can be calibrated to achieve accurate three-dimensional calculation of sag, supporting risk management of important intersections.
[0187] Line crossing refers to the situation where there are obstacles such as railways, roads, power lines, communication lines, etc. in the path of overhead power lines, and the ground wire crosses over or passes under the obstacles.
[0188] As the design of power transmission and transformation projects develops towards digitalization, the results of digital design have shown great value in the field of power construction. In order to implement the pilot construction of infrastructure operation data based on digital twin technology, the Infrastructure Department and Equipment Department of Shanghai Electric Power Company of State Grid Corporation of China will transfer the massive information of power transmission and transformation projects in the construction stage to the production and operation and maintenance stages completely and effectively, realize the sharing of the results of digital handover of power transmission and transformation projects in the whole life cycle of the power grid, promote the handover of power transmission and transformation projects to develop in the direction of dataization, three-dimensionalization and intelligence, and meet the needs of intelligent power operation and maintenance management. It is decided to use the 220 kV Zhusong Station as a pilot to carry out infrastructure operation data based on digital twin technology, laying a solid technical foundation for the digital handover of future power transmission and transformation projects.
Claims
1. A method for connecting infrastructure operation data based on digital twin technology, characterized in that: The method includes: Infrastructure operation data integration; Assessment of the connectivity of infrastructure operation data; The infrastructure operation data integration includes geometric transformation of the infrastructure 3D model and material optimization of the infrastructure 3D model; The geometric transformation of the infrastructure three-dimensional model includes the conversion of cross-section extrusion type components and the conversion of cable or hose type components; The cross-section extrusion type component conversion is specifically as follows: In the BIM model, the way to generate components is the same as the extrusion command in Max. According to the difference in the length of the generated components, the number of editable polygonal component faces exported by Revit is several to hundreds of times the number of editable polygonal faces generated in the same way in 3ds Max software, which is: (1) According to the model structure and name, obtain the first character of the extrusion type component and input it into the Script script, and the script selects all extrusion type components; (2) Select individual components one by one, convert them into editable polygons, delete the faces other than the first and last ends, and use the bridge or extrude command to rebuild the model; (3) Reset the smoothing group for all optimized components; The cable or hose type component conversion is specifically as follows: In the Revit export model, linear components are converted to editable polygons. The number of faces of the editable polygon components exported by Revit is dozens to tens of thousands times the number of editable polygon faces generated by spline in 3ds Max software. (1) Measure the cross-sectional diameter of the linear component to obtain data R, define the minimum vertex value N at the turning point of the linear component cable according to the vertex value at the turning point of the linear component, measure the distance between the turning points of the linear component, and define the minimum turning distance threshold L; (2) Convert the linear component geometry from editable mesh to editable polygon; (3) Index all vertex sets of geometric elements and sort them according to the distance from the first vertex; (4) Select the center values of the turning points from the vertex set in sequence; (5) According to the vertex center value set of the turning point obtained by the algorithm, select points whose distance between each other is greater than L and regenerate the spline; (6) Set the length, segmentation and material of the spline; The basis for selecting the center value of the turning point vertex from the vertex set is: The sub-vertex sets in the vertex set whose distances to each other are not greater than R and whose number of elements in the set is not less than N; The material optimization of the infrastructure 3D model includes material corresponding conversion and BIM material conversion Standard material ball; The material corresponding conversion is specifically as follows: In the BIM model export model, the material type of all geometric bodies is Autodesk Material type, and its material information contains the material ball name. Based on this, after the BIM model is imported into the 3ds MAX software, a material library is established in the 3ds MAX software, and a reference relationship is established according to the material ball name. After standard naming, the imported material balls are replaced with the material balls in the material library in batches according to the material ball name, and the UVW mapping coordinates of the geometric bodies are reassigned to achieve the effect of improving the aesthetics of the model; The evaluation of infrastructure operation data integration includes data integration efficiency, infrastructure operation handover data and infrastructure operation data fusion tools. The infrastructure operation data fusion tools specifically include a three-dimensional design model structure reconstruction plug-in, a three-dimensional design model material optimization plug-in and a three-dimensional design model geometry optimization plug-in.
2. According to claim 1, a method for connecting infrastructure operation data based on digital twin technology is characterized in that: The BIM material conversion Standard material ball is specifically: For other material balls that are not named in a standard way and cannot be automatically replaced, in order to ensure that the color effect of the BIM model is displayed normally in max, the RGB color values in the material balls are extracted, and the newly extracted color values are used to generate the Standard material used by 3ds MAX or the corresponding specific texture map. The characteristic information of the object is further read in combination with the attribute information of the BIM model to accurately correspond to the texture map.
Citation Information
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