CN116385693A - Offshore wind power visual display method, offshore wind power visual display system and computer-readable storage medium - Google Patents
Offshore wind power visual display method, offshore wind power visual display system and computer-readable storage medium Download PDFInfo
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Abstract
The application provides a visual display method, a visual display system and a computer-readable storage medium for offshore wind power, and relates to the technical field of offshore wind power treatment, wherein the visual display method comprises the following steps: obtaining model data, constructing a three-dimensional model database based on the model data, and performing light weight processing on the three-dimensional model database to obtain a light weight BIM model; invoking a light BIM model to perform offshore wind power scene configuration, and performing offshore wind power size scene switching based on a preset three-dimensional visual frame to construct a wind power scene model; acquiring a three-dimensional model and drawing document information of wind power plant equipment to construct a wind power plant equipment model; and correlating the wind power plant equipment model and the wind power plant equipment model with the entity model so as to perform visual display of the running state of the offshore wind power plant. The method and the device can facilitate timely calling of scene management, reduce the later-stage digital scene extension cost and improve the working efficiency of operation and maintenance supervision.
Description
Technical Field
The application relates to the technical field of offshore wind power treatment, in particular to an offshore wind power visual display method, an offshore wind power visual display system and a computer readable storage medium.
Background
Under normal conditions, electric energy generated by the offshore wind turbine generator is collected through a medium-voltage sea cable, is subjected to boosting treatment through an offshore booster station, and is finally conveyed to a land collection station through a high-voltage sea cable to be integrated into a power grid. The process involves the related automation systems of the offshore wind turbines and the land booster stations including a state on-line monitoring system, an auxiliary monitoring system, an operation and maintenance management system and the like. In the related art, through the SCADA automatic dispatching monitoring and dispatching system of the wind power plant, remote real-time monitoring, control and diagnosis of fans, anemometers and the like of the wind power plant are realized, the optimal operation of the wind power plant, remote starting, stopping, resetting, calibration and the like are realized, and labor-intensive field investigation and management can be reduced to a certain extent.
However, the wind farm operation and maintenance management based on the SCADA system still has certain defects, on one hand, facility information cannot be fully utilized due to the problems of more subsystems, partition deployment of the system, non-uniform information format and the like in an automatic system, and the full scene supervision efficiency is low; on the other hand, because the SCADA wind farm data acquisition involves higher safety requirements and has a professional mode in terms of data transmission and data storage, the professional threshold for the system use is higher. Therefore, a digital, intelligent and global supervision means is needed in the offshore wind farm, and the intelligent control level of the main and auxiliary equipment is improved.
Disclosure of Invention
The purpose of the application is to provide a visual display method, a visual display system and a computer readable storage medium for offshore wind power, which can facilitate timely calling of scene management, reduce the later digital scene extension cost and improve the working efficiency of operation and maintenance supervision.
In a first aspect, the invention provides a method for visually displaying offshore wind power, which comprises the following steps: obtaining model data, constructing a three-dimensional model database based on the model data, and performing light weight processing on the three-dimensional model database to obtain a light weight BIM model; invoking the light BIM model to perform offshore wind power scene configuration, and performing offshore wind power size scene switching based on a preset three-dimensional visual frame to construct a wind power scene model; acquiring a three-dimensional model and drawing document information of wind power plant equipment to construct a wind power plant equipment model; and correlating the wind power plant equipment model and the wind power plant equipment model with the entity model so as to perform visual display of the running state of the offshore wind power plant.
In an alternative embodiment, the three-dimensional model database is used for constructing a scene element model required by offshore wind power, and the scene element model at least comprises a basic geographic model, a wind turbine generator system model, a booster station equipment model, a building model and a cable model; performing light weight processing on the three-dimensional model database to obtain a light weight BIM model, wherein the light weight BIM model comprises the following components: model rendering is carried out through a three.js engine, and the scene element model is displayed in a light-weight mode through WebBIM.
In an alternative embodiment, invoking the lightweight BIM model for offshore wind farm scene configuration includes: loading scene multisource data through a visual rendering engine Web end; the scene multisource data at least comprises one or more of three-dimensional terrain, urban models, vector layers and grid layers; performing visual rendering on the scene multisource data, wherein the visual rendering at least comprises cloud rendering, light rendering, water surface rendering and soft shadow rendering; fusing the image format data with the scene through a digital twin engine so as to perform offshore wind power scene configuration; the image format data includes at least a markup image format, an elevation data format, a vector data format, and a 3D model data format.
In an alternative embodiment, the offshore wind power size scene switching based on a preset three-dimensional visual frame comprises: constructing an offshore wind farm scene based on the 3D rendering frame, and creating a 3D object; calculating geometric information of the 3D object in the wind power plant scene based on the three-dimensional map development framework; the geometric information at least comprises vertex position coordinates of the 3D object and the position of the 3D object; the method comprises the steps of integrally exporting all the created 3D objects into a gltf model, and displaying the gltf model through a three-dimensional map development framework; and performing offshore wind power size scene switching through scaling operation or inputting geographic coordinates.
In an alternative embodiment, the method further comprises: constructing an offshore wind farm mechanism model based on real-time operation data of a wind farm, so as to perform operation and maintenance analysis through the offshore wind farm mechanism model; the offshore wind farm mechanism model comprises a wind farm efficiency analysis model, a fan health assessment model and a wind farm operation cost calculation model; the wind power plant efficiency analysis model is used for carrying out single index analysis, multi-index fusion analysis, unit level analysis and wind power plant level analysis on efficiency data indexes in a wind power plant, wherein the efficiency data indexes at least comprise one or more of the following indexes: wind resources, generated energy, lost electric quantity, running level, equipment reliability and energy consumption and emission reduction; the fan health evaluation model is used for analyzing and visualizing drawing analysis of relevant data of the wind turbine generator faults and is used for supporting operation and maintenance personnel to locate fault sources; the fan operation cost analysis model is used for carrying out fan operation maintenance cost calculation and operation maintenance cost prediction in a future maintenance period.
In an alternative embodiment, the wind farm equipment model and the wind farm equipment model are associated with a physical model to perform visual display of the running state of the offshore wind farm, including: and establishing a virtual reality scene of the offshore wind turbine and the booster station, and converting real-time operation data of the on-line monitoring of the wind turbine and the offshore booster station and auxiliary systems such as fire protection and video into a physical model which is represented in an image form and changes along with time and space, namely, the three-dimensional physical model and the component model thereof are associated with real-time monitoring data so as to carry out visual display of the operation state of the offshore wind farm.
In a second aspect, the present invention provides an offshore wind visualization display system, the system comprising: a three-dimensional model database, a wind farm mechanism model and a three-dimensional panoramic visualization subsystem; the three-dimensional model database is subjected to offshore wind power scene configuration after light weight treatment; the wind power plant mechanism model is used for carrying out operation and maintenance analysis; the three-dimensional panoramic visualization subsystem is used for real-time perception and scene display.
In an optional embodiment, the three-dimensional panoramic visualization subsystem comprises a real-time sensing module and a basic functional module, wherein the real-time sensing module is used for associating a three-dimensional physical model and a component model thereof with real-time monitoring data to realize the visualization of the running state of the target wind power plant; the basic function module is used for providing two view modes of a spherical scene and a plane scene, and realizing view switching through scaling processing so as to perform global large scene display and regional small scene switching display.
In an alternative embodiment, the base function module is further configured to: and (3) performing distance measurement and area measurement according to the longitude and latitude grids of the divided areas, and performing real-time calculation of the distance, area and height difference indexes and the calculation of the ground contact distance and the ground contact area on the three-dimensional model of the terrain or space at the front end.
In a third aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the offshore wind visualization method according to any one of the preceding embodiments.
The offshore wind power visual display method, the offshore wind power visual display system and the computer-readable storage medium have the beneficial effects that:
by establishing a standardized model library of offshore wind power, the scene management is convenient to call in time, and the later digital scene expansion cost is reduced; the light-weight BIM model is obtained through light-weight processing, so that light-weight modeling is realized; the free switching of the size scenes can be realized by realizing the construction of the small scenes of the fan equipment and the construction of the large scenes of the wind power plant; the wind power plant real-time monitoring data and the scene model are combined, the technical professional threshold is reduced, and the operation and maintenance supervision work efficiency is improved due to the high information intensification level.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a visual display method for offshore wind power provided by an embodiment of the application;
FIG. 2 is a block diagram of a model library according to an embodiment of the present application;
FIG. 3 is a flowchart of another method for visualizing and displaying offshore wind power according to an embodiment of the present disclosure;
FIG. 4 is an interface diagram of a three-dimensional panoramic visualization subsystem provided in an embodiment of the present application;
FIG. 5 is a diagram of wind farm production data, which is a full scene supervision of a target wind farm equipment asset based on fan three-dimensional model component-associated static data, for a sea, provided in an embodiment of the present application;
FIG. 6 is a diagram of fan operation data, which is provided in an embodiment of the present application and is based on the full scene supervision of the target wind farm equipment assets of the fan three-dimensional model component associated static data;
FIG. 7 is a diagram of fan fault data, which is provided in an embodiment of the present application and is based on the full scene supervision of the target wind farm equipment asset of the fan three-dimensional model component associated static data;
fig. 8 is a full scene supervision-attendant information access diagram of a target wind farm equipment asset based on fan three-dimensional model component associated static data provided in an embodiment of the present application;
fig. 9 is a preview of a large Cesium scene provided in an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
Currently, an SCADA (Supervisory Control And Data Acquisition) system, which is used as a common means for operation and maintenance control, is widely applied to offshore wind turbines, and records mass data acquired by different sensors of each turbine. However, the collected original data cannot be directly applied to state detection and fault diagnosis of the wind turbine generator system based on data driving, data analysis and preprocessing are required to be performed on the original data according to actual requirements, the current offshore wind power data monitoring and controlling scheme based on SCADA data flow generally integrates and analyzes the monitored data in the form of a traditional two-dimensional statistical graph and a form, the professional threshold is high, and because the data relates to a plurality of subsystems, a plurality of systems are required to perform cooperative judgment in one fault analysis, and the working efficiency is low.
The offshore wind farm is wide in distribution, the climate environment is severe, the supervision work of the wind farm is very difficult, and the supervision mode of the onshore wind farm is not realistic to be carried to the offshore wind farm for operation management. First, the harsh climatic and marine environments make the failure rate of equipment much higher than on-land wind farms. And secondly, the low accessibility of the equipment enables the operation and maintenance workload and operation and maintenance cost of the offshore wind turbine to be far higher than those of the offshore wind farm, and the electric energy generated by the offshore wind turbine is collected through a medium-voltage sea cable and then subjected to boosting treatment through an offshore booster station, and finally is conveyed to an onshore collection station through a high-voltage sea cable and is integrated into a power grid. The process involves the related automation systems of the offshore wind turbines and the land booster stations including a state on-line monitoring system, an auxiliary monitoring system, an operation and maintenance management system and the like. The system is a computer-based DCS power automation monitoring system. Based on SCADA, the remote real-time monitoring, control and diagnosis of fans, anemotowers and the like of the wind power plant can be realized, the optimal operation of the wind power plant is realized, and remote starting, stopping, resetting, calibration and the like can be realized, so that labor-intensive field investigation and management can be reduced to a certain extent.
However, the wind farm operation and maintenance management based on the SCADA system still has certain defects, on one hand, facility information cannot be fully utilized due to the problems of more subsystems, partition deployment of the system, non-uniform information format and the like in an automatic system, and the full scene supervision efficiency is low; on the other hand, because the SCADA wind farm data acquisition involves higher safety requirements and has a professional mode in terms of data transmission and data storage, the professional threshold for the system use is higher. Therefore, a digital, intelligent and global supervision means is needed in the offshore wind farm, and the intelligent control level of the main and auxiliary equipment is improved.
Based on the above, in order to enable operation of a management and control and operation and maintenance system of offshore wind power to be more convenient, the embodiment of the application provides a visual display method, a visual display system and a computer readable storage medium of offshore wind power, which can facilitate timely calling of scene management, reduce the later digital scene extension cost and improve the working efficiency of operation and maintenance supervision.
Referring to fig. 1, the method for visualizing and displaying offshore wind power provided by the embodiment of the application mainly includes the following steps:
step S110, obtaining model data, constructing a three-dimensional model database based on the model data, and performing light weight processing on the three-dimensional model database to obtain a light weight BIM model;
The lightweight BIM model is also known as a building information model (Building Information Modeling, BIM).
Step S120, invoking a light BIM model to perform offshore wind power scene configuration, and performing offshore wind power size scene switching based on a preset three-dimensional visual frame to construct a wind power scene model;
step S130, a three-dimensional model and drawing document information of wind power plant equipment are obtained to construct a wind power plant equipment model;
and step S140, correlating the wind farm equipment model and the wind farm equipment model with the entity model so as to perform visual display of the running state of the offshore wind farm.
Specific embodiments of this method are described in detail below.
When a three-dimensional model database is constructed based on model data, the main acquisition modes of the model data mainly comprise:
(1) Data collected and processed through unmanned aerial vehicle oblique photogrammetry and three-dimensional laser scanning technology, such as building geometric data and basic topography data.
(2) And shooting the acquired data, such as the texture data of the outer facade of the building, in the field.
(3) And data collected by field actual measurement tools such as total stations and the like, such as topography base maps and the like.
(4) Digital drawings for building construction, such as building civil engineering drawings, greening drawings and the like.
(5) Building structure drawing and equipment drawing.
The three-dimensional model database is used for constructing a scene element model required by offshore wind power, and the scene element model at least comprises a basic geographic model, a wind turbine generator system model, a booster station equipment model, a building model and a cable model. In one embodiment, the light-weight BIM model is obtained by performing light-weight processing on a three-dimensional model database, and the method comprises the following steps: model rendering is performed through a three.js engine, and the scene element model is displayed in a light-weight mode through WebBIM.
Specifically, model rendering is performed by a three.js engine, and models such as fans, equipment, buildings and the like are displayed in a lightweight manner by using WebBIM, so that a user can smoothly view and edit an offshore wind power database model with WebBIM as a core (in a wind power plant model database, the model is displayed in a lightweight manner by a Web end of BIM model data, rendering is performed by using the three.js engine, and the wind power plant model is displayed in a lightweight manner by using WebBIM.
FIG. 2 shows a block diagram of a model library in which functions such as model import, model query, model deletion, model update, etc. are set to support localized call by a user. The scene preview function is set, and a user can perform scene arrangement and scene preview (such as a three-dimensional offshore wind farm, a land booster station, the position of the wind farm, surrounding geographic information and the like, and the like) according to actual requirements, so that smooth viewing and editing of the scene and a model library are realized. ). The method realizes BIM lightweight modeling based on WEBGL, and retains three-dimensional geometric data after stripping non-geometric data (relevant service data such as component attribute data, namely database file) so as to reduce the data volume of the three-dimensional geometric data and save the rendering calculation volume of a client computer, thereby improving the loading, rendering and functional processing speeds of the BIM. The light weight steps for the non-BIM model are as follows: and (3) exporting dwg format from the dgn model file, configuring a smoothness threshold value, a smooth angle, a radial thickness, edges, angles, welding points, smooth adjacent curved surfaces, closed spline lines and the like in 3DsMax, reserving the detailed outline of the model in the model file to the greatest extent, constructing the imported model into a triangular polygon, carrying out analysis operation on the model again through software on the basis, and converting the complexity of the model structure into triangular surface combinations with the number of universal surface levels. The more the number of triangular face combined faces of the model is, the higher the visual fineness of the reconstructed model is, the larger the model file is, after the model file is simplified and reconstructed (the triangular mesh is subjected to boundary folding by adopting an edge folding algorithm and combining a mesh model simplifying algorithm), the number of the triangular face combined faces of the model is reduced, and the reconstructed model file is smaller.
The above reduced reconstruction, when embodied, includes the following means:
the simplifying process comprises the following steps: based on the vertex deleting method, deleting the edge with small folding cost in the grid each time to obtain a new vertex, and deleting the vertex and the triangular surface patch related to the edge. The above steps are repeated to realize the simplification requirement.
The reconstruction method comprises the following steps: and adopting a three.js frame to reconstruct and develop the wind farm monomer lightweight model. The three.js is introduced into the HTML for reconstruction of the monomer model, and the reconstruction process comprises the following steps: 1) Constructing a three-dimensional scene: scene () function is adopted to create a Scene, the geometric, material and attribute additional information of the offshore wind power lightweight model are contained through the Scene, and a grid model is generated through a three.mesh function; 2) Request to load and parse JSON intermediate storage file: the method comprises the steps of loading a JSON intermediate storage file of a lightweight model through a JavaScript request, and then analyzing by utilizing a JSON analyzer tree.JSON loader function to obtain the geometric, material and attribute additional information of the JSON intermediate storage file; 3) And generating a Mesh model, and loading the Mesh model into the Scene object to complete rendering reconstruction.
It should be noted that the non-BIM light weight operation reduces the visualization effect of the model to some extent, and the higher the percentage of triangular faces of the model is, the worse the visualization effect of the model is. Aiming at the problem, the optimization scheme between the display details of the model and the size of the model file can be selected within the range of acceptable precision by comparing the detail refinement degree of the model after light weight through a mode of reducing the numerical value of the triangular surface of the model through multiple times of adjustment. Preferably, based on the vertex deletion method, each time, deleting the edge with small folding cost in the grid to obtain a new vertex, and deleting the vertex and the triangular surface patch related to the edge. The above steps are repeated to realize the simplification requirement. In one example, the quadratic error matrix for the mesh vertices may be computed first; secondly, solving folding cost and new vertex coordinates of triangle edges according to the secondary error matrix; and finally deleting according to the cost size principle of the folding edge, and prioritizing the edge with the minimum folding cost. The target basis of the multiple adjustment is as follows: the number of triangular faces is reduced, and the appearance similarity of the original model is kept as much as possible.
The non-BIM model light by the method can obviously improve the background loading speed when the system displays the model and lighten the operation pressure of the server when the server processes the model in the background.
The construction content of the three-dimensional model database mainly comprises model data checking and inputting, three-dimensional model database construction and model management. The three-dimensional model database construction comprises a basic geographic model, a wind turbine generator system model, a booster station equipment model, a building model, a cable model and other scene element models required by offshore wind power. The model management has the functions of model import, model inquiry, model visualization, model update, model deletion and the like.
Preferably, in order to realize classified storage processing of offshore wind power related data, the three-dimensional model library performs classified storage management on the data. And simultaneously storing the model attribute data in each model attribute database, the space database and the file database according to model types. Aiming at the establishment of a standard three-dimensional model library of an offshore wind farm, the differential innovation compared with land comprises the following steps:
(1) The wind turbine generator model library is used for offshore wind turbine generator information related to offshore wind turbine project construction, covers actual model data such as fan outline, box transformer, ring main unit, generator, gearbox, submarine foundation structure of the wind turbine generator and the like, and can realize full-flow model data arrangement. Each model is subjected to three-dimensional modeling through a point cloud technology on the basis of actual data.
(2) The cable model library is used for managing data such as sea cables, land cables and the like associated with offshore wind power projects, and covers current pipeline, completion pipeline and historical backup pipeline data so as to ensure that the current library can be restored through historical backup or the completion pipeline of a certain project can be independently checked.
(3) The slipway model warehouse is used for constructing models of multifunctional ocean wind power slipways such as piling, transporting, assembling and hoisting large windmill components and the like of the ocean wind power.
(4) The transformer substation model library is used for model management of steel pipe structures, high-voltage cables, GIS rooms, transformer rooms, standby power rooms, roof decks, living rooms and central control room facilities involved in transformer substations.
(5) The building model library is used for storing common building entity models and is used for texture and model data management of related buildings such as booster stations, offices and the like, and a platform can directly acquire related texture and model data from the model library.
(6) The basic terrain model data mainly comprises a model management function for the relevant geological information models of the ground, the sea surface, the sea bottom and the like related to offshore wind power, and the functions of unified management and distribution of basic geographic data, integrated browsing, inquiring, statistics, result distribution and the like of the basic geographic data are realized.
Further, invoking the lightweight BIM model to perform offshore wind power scene configuration may include the following steps 1.1) to 1.3):
step 1.1), loading scene multisource data through a visual rendering engine Web end; the scene multisource data at least comprises one or more of three-dimensional terrain, urban models, vector layers and grid layers;
step 1.2), performing visual rendering on the scene multi-source data, wherein the visual rendering at least comprises cloud rendering, light rendering, water surface rendering and soft shadow rendering;
step 1.3), fusing the image format data with a scene through a digital twin engine so as to perform offshore wind power scene configuration; the image format data includes at least a markup image format, an elevation data format, a vector data format, and a 3D model data format.
The scene management interface relates to model configuration and function configuration functions, can perform operations such as new construction, opening, storage and saving of scenes, and can freely configure various base charts so as to meet the requirements of users for digital scene construction and scene management according to actual positions and layout conditions of wind power plants. The function configuration module relates to the scene establishment of initializing visual angles, thematic maps, flight route setting, three-dimensional special effects and base map services and can adapt to different requirements.
Meanwhile, the Web end of the visual rendering engine supports loading of multi-source data such as three-dimensional terrain, city models, vector layers, grid layers and the like, and visual rendering effects are based on cloud technology, cloud rendering, light rendering, water surface rendering (water surface reflection effect, water wave effect and reflection effect) and soft shadow rendering. The digital twin engine data supports image formats (including but not limited to. Tif, elevation data formats (including but not limited to:. Dem)), vector data formats (including but not limited to: shape (. Shp)), 3D model data formats (including but not limited to:. Glb).
Further, in order to promote the visual effect, be convenient for carry out the visualization to big scene and little scene, can carry out marine wind power size scene switching based on the three-dimensional visual frame of predetermineeing, when concretely implementing, can include following step 2.1) to step 2.4):
step 2.1), constructing an offshore wind farm scene based on a 3D rendering frame, and creating a 3D object;
step 2.2), calculating geometric information of the 3D object in the wind power plant scene based on the three-dimensional map development framework; the geometric information at least comprises vertex position coordinates of the 3D object and the position of the 3D object;
step 2.3), integrally exporting all the created 3D objects into a gltf model, and displaying the gltf model through a three-dimensional map development framework;
And 2.4), performing offshore wind power size scene switching through scaling operation or inputting geographic coordinates.
In one embodiment, the three-dimensional map development framework may be CesiumJS, and the 3D rendering framework may be three.js, both of which are Web front-end three-dimensional visualization frameworks developed using JavaScript based on WebGL technology. The Cesium visual content is mainly geospatial data, such as satellite images, terrains, urban three-dimensional models and the like, the data volume and the space range are very large, and the requirements on precision are higher; the three-dimensional js is suitable for constructing a general 3D rendering frame which is easy to use, lightweight and cross-browser, has the core of a 3D object and a three-dimensional model, and has unique advantages in the aspects of visual presentation, scene organization, 3D object management, animation, expansibility and the like.
Considering the actual demands of 3D lightweight rendering and displaying of large scenes (geospatial data of earth scenes, satellite images and topographic maps) around the offshore wind farm and the wind farm scenes, two frames are respectively adopted for scene organization and rendering display. The glTF is used as a cross-platform 3D universal standard, and the format is more convenient and rapid to analyze and load in Web and is supported by Cesium. In order to organically fuse two frames (an earth scene under three.js and a wind farm scene under Cesium), a thought of loading the three.js scene as a model is adopted: the offshore wind farm scene is organized using three.js, 3D object creation is completed, then the 3D object is exported as a whole as gltf and a cesium.model presentation model is used. And when the three-dimensional wind power plant scene is created, vertex position coordinates, 3D object positions and the like of geometric bodies in the scene are calculated based on Cesium, so that the three-dimensional wind power plant scene has the capacity of geographic space expression, and the 3D object can be quickly locked in a mode of zooming in and out or inputting geographic coordinates for indexing, thereby realizing free conversion of the size scene.
Further, an offshore wind farm mechanism model can be constructed based on real-time operation data of the wind farm, so that operation and maintenance analysis can be performed through the offshore wind farm mechanism model; the offshore wind farm mechanism model comprises a wind farm efficiency analysis model, a fan health assessment model and a wind farm operation cost calculation model;
the wind power plant efficiency analysis model is used for carrying out single index analysis, multi-index fusion analysis, unit level analysis and wind power plant level analysis on efficiency data indexes in the wind power plant, wherein the efficiency data indexes at least comprise one or more of the following indexes: wind resource, power generation, power loss, operation level, equipment reliability and energy consumption and emission reduction. In practical application, the wind farm efficiency evaluation model performs single index analysis (wind farm overall efficiency analysis), multi-index fusion analysis (multi-index weight-added analysis algorithm for analyzing the overall efficiency of a single fan), unit level analysis, wind farm level analysis (overall power generation, wind farm resource evaluation) and the like on indexes such as wind resources, power generation, power loss, operation level, equipment reliability, energy consumption and the like in a wind farm based on efficiency data index analysis. And based on the time sequence change diagram made by sensing equipment (wind meter, wind vane, vibration analyzer, electric encoder and the like) carried by the wind turbine generator, analyzing and sequencing the multiple units, so that the marker post fans can be intuitively screened and the fan operation and maintenance work can be purposefully carried out.
The fan health assessment model is used for analyzing and visualizing drawing analysis of relevant data of the wind turbine generator faults and is used for supporting operation and maintenance personnel to locate fault sources. In practical application, the fan health assessment model analyzes and visualizes relevant data of the wind turbine generator set faults, and is used for supporting operation and maintenance personnel to locate fault sources. The fan drive system health assessment model is established based on SCADA system assessment data, and the purpose is to establish a health assessment early warning model based on feedback data (fan rotating speed, gear box temperature, generator temperature, wind speed, power and the like) of a fan sensor, so that health assessment and early warning of the fan drive system are achieved.
The fan operation cost analysis model is used for carrying out fan operation maintenance cost calculation and operation maintenance cost prediction in a future maintenance period. In practical application, the fan operation cost analysis model calculates cost based on financial items and business item data, task number and type and maintenance times; and predicting the operation and maintenance cost in the next maintenance period by integrating the past operation and maintenance cost statistics and analysis data, operation and maintenance resource input data, production operation and maintenance task amount data, operation and maintenance plan data and the like.
Furthermore, when the wind power plant equipment model and the wind power plant equipment model are associated with the entity model so as to perform visual display of the running state of the offshore wind power plant, real-time running data of on-line monitoring of the wind turbine generator and the offshore booster station and auxiliary systems such as fire protection and video can be converted into a physical model which is represented in an image form and changes along with time and space, namely, a three-dimensional physical model and component model thereof are associated with real-time monitoring data so as to perform visual display of the running state of the offshore wind power plant.
In practical application, three-dimensional models and drawing document information of different devices can be obtained, bit numbers, parameter data and visual model information are automatically extracted, association is established with entity objects, and association relations among different models are established. The three-dimensional visual display of the target wind power plant is realized by comprehensively utilizing technologies such as geographic information, visualization and digital twinning. Based on a three-dimensional visualization technology, a virtual reality scene of the offshore wind turbine and the booster station is established, real-time operation data of auxiliary systems such as on-line monitoring of the wind turbine and the offshore booster station, fire protection, video and the like are converted into physical models which are expressed in image forms and change along with time and space, namely, real-time monitoring data related to the three-dimensional physical models and component models thereof are obtained, and the visualization of the operation state of the target wind power plant is realized.
The embodiment of the application also provides a visual display method of offshore wind power, which is shown in fig. 3, and can comprise the following 6 steps when being specifically executed:
s1, establishing a model library of a lightweight model library of the offshore wind farm.
S2, invoking the BIM lightweight model to perform scene configuration.
S3, switching and optimizing the size scene of the offshore wind power.
S4, modeling an offshore wind farm mechanism model.
S5, visually displaying the offshore wind power plant.
S6, monitoring and controlling the offshore wind farm asset equipment.
The embodiment of the application provides a visual display system of marine wind power, this system mainly includes: a three-dimensional model database, a wind farm mechanism model and a three-dimensional panoramic visualization subsystem; the three-dimensional model database is subjected to offshore wind power scene configuration after light weight treatment; the wind power plant mechanism model is used for carrying out operation and maintenance analysis; the three-dimensional panoramic visualization subsystem is used for real-time perception and scene display.
FIG. 4 illustrates an interface diagram of a three-dimensional panoramic visualization subsystem, which is used for standardized model library creation and invocation.
The three-dimensional panoramic visualization subsystem comprises a real-time sensing module and a basic functional module, and supports the functions of sensing the fault monitoring, running state data, generating power, microclimate data, monitoring video, environment, safety and the like of the wind turbine generator, and accessing various Internet of things data; the method has the basic functions of three-dimensional visualization, measurement analysis, attribute query, space analysis and the like.
The real-time sensing module is used for associating the three-dimensional physical model and the component model thereof with real-time monitoring data to realize the visualization of the running state of the target wind power plant.
Specifically, under the real-time sensing module, three-dimensional visual display of the target wind power plant is realized by comprehensively utilizing technologies such as geographic information, visualization and digital twinning. Based on a three-dimensional visualization technology, a virtual reality scene of the offshore wind turbine and the booster station is established, real-time operation data of auxiliary systems such as on-line monitoring of the wind turbine and the offshore booster station, fire protection, video and the like are converted into physical models which are expressed in image forms and change along with time and space, namely, real-time monitoring data related to the three-dimensional physical models and component models thereof are obtained, and the visualization of the operation state of the target wind power plant is realized. The data access situation is as follows:
(1) Wind farm operation data: including wind farm production data, fan operation data, wind turbine generator failure data, see fig. 5, 6 and 7. And accessing data such as wind turbine fault monitoring, running state, power generation and the like perceived by a wind turbine monitoring System (SCADA), and displaying information such as real-time power, wind speed, current, voltage, temperature, pressure and the like of the monitoring fan through a three-dimensional visualization subsystem.
(2) Information access of operators on duty: and accessing basic information of regional operation staff of the target wind power plant, wherein the basic information comprises delivery team information, delivery time, delivery team member constitution, delivery matters and the like. And based on the three-dimensional model interaction points of the three-dimensional scene of the target wind power plant, the three-dimensional model interaction points are displayed in a chart form, and the three-dimensional model interaction points are shown in the figure 8.
(3) Monitoring video data access: and accessing video monitoring on objects such as a fan, an offshore booster station and the like, and acquiring real-time monitoring video data of the fan and the offshore booster station through a video monitoring system. And displaying real-time video of the offshore wind farm based on the three-dimensional scene three-dimensional model interaction point positions of the target wind farm.
(4) And (3) microclimate data access: meteorological sensors (temperature sensor, humidity sensor, wind speed sensor, wind direction sensor, rainfall sensor, air pressure sensor) which are connected with the sensing layer and are arranged on objects such as fans, offshore booster stations and the like acquire real-time microclimate monitoring data. And displaying the microclimate condition of the offshore wind farm based on the three-dimensional scene of the wind farm and the three-dimensional model of the wind turbine.
The basic functional module is used for providing two view modes of a spherical scene and a plane scene, and realizing view switching through scaling processing so as to perform global large scene display and regional small scene switching display. And performing distance measurement and area measurement according to the longitude and latitude grids of the divided areas, and performing real-time calculation of the distance, area and height difference indexes and the calculation of the ground contact distance and the ground contact area on the three-dimensional model of the terrain or the space at the front end.
In the specific implementation, the basic functional module develops a three-dimensional visual display subsystem of the wind power plant by comprehensively applying technologies such as geographic information, visualization, digital twinning and the like, and the system has basic functions such as three-dimensional visualization, measurement analysis, attribute inquiry, space analysis and the like. The three-dimensional visual scene provides two view modes of a spherical scene and a plane scene, can realize free switching through mouse scaling, is respectively suitable for displaying a global large scene and a regional small scene, and supports loading of a coordinate system and projection information; the measurement analysis carries out distance measurement and area measurement according to longitude and latitude grids of the divided areas, supports real-time measurement of indexes such as distance, area and height difference on the front end of the terrain or S3M (Spatial 3D Model), and supports measurement of ground contact distance and ground contact area; the attribute query function supports a query layer, query conditions and query objects based on SQL (Structured Query Language ) and a space query mode; the space analysis function comprises three-dimensional space analysis and thematic drawing. The three-dimensional space analysis comprises slope direction analysis, contour line analysis, visibility analysis, dynamic visibility analysis, astronomical line analysis and the like.
In summary, the embodiment of the application facilitates the timely calling of scene management by establishing the standardized model library of offshore wind power, and reduces the cost of the later digital scene expansion; formulating a rapid modeling scheme based on the actual display effect of the wind farm, and realizing lightweight modeling; the Three-dimensional large scene of the wind power plant is built based on the Three-dimensional map development framework, the small scene of the fan equipment is built based on the Three JS 3D rendering framework, and the free switching of the large scene and the small scene is realized by adopting different technical routes; the wind power plant real-time monitoring data is combined with the three-dimensional digital model, so that the platform has higher convenience, the technical professional threshold is reduced, and the operation and maintenance supervision work efficiency is improved due to higher information intensification level.
For the model scene conversion, the foregoing fig. 4 to 8 show schematic diagrams of the scene adapted to the wind turbine generator, and fig. 9 shows schematic diagrams of a large scene, and by the above scene conversion method, large scene and small scene can be converted to adapt to the visual requirement of the user, thereby improving the experience of the user.
The embodiment of the application also provides a computer readable storage medium, which stores computer executable instructions that, when being called and executed by a processor, cause the processor to implement the above-mentioned offshore wind power visualization display method, and the specific implementation can refer to the foregoing method embodiment and will not be repeated here.
The embodiments of the present application provide a method, a system, and a computer program product of a computer readable storage medium for visualizing offshore wind power, including a computer readable storage medium storing program codes, where instructions included in the program codes may be used to execute a method described in the foregoing method embodiments, and specific implementation may refer to the method embodiments and are not repeated herein.
The relative steps, numerical expressions and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In the description of the present application, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. An offshore wind power visual display method, which is characterized by comprising the following steps:
Obtaining model data, constructing a three-dimensional model database based on the model data, and performing light weight processing on the three-dimensional model database to obtain a light weight BIM model;
invoking the light BIM model to perform offshore wind power scene configuration, and performing offshore wind power size scene switching based on a preset three-dimensional visual frame to construct a wind power scene model;
acquiring a three-dimensional model and drawing document information of wind power plant equipment to construct a wind power plant equipment model;
and correlating the wind power plant equipment model and the wind power plant equipment model with the entity model so as to perform visual display of the running state of the offshore wind power plant.
2. The offshore wind power visualization display method of claim 1, wherein the three-dimensional model database is used for constructing a scene element model required by offshore wind power, and the scene element model at least comprises a basic geographic model, a wind turbine generator model, a booster station equipment model, a building model and a cable model;
performing light weight processing on the three-dimensional model database to obtain a light weight BIM model, wherein the light weight BIM model comprises the following components:
model rendering is carried out through a three.js engine, and the scene element model is displayed in a light-weight mode through WebBIM.
3. The offshore wind farm visual presentation method of claim 1, wherein invoking the lightweight BIM model for offshore wind farm scene configuration comprises:
loading scene multisource data through a visual rendering engine Web end; the scene multisource data at least comprises one or more of three-dimensional terrain, urban models, vector layers and grid layers;
performing visual rendering on the scene multisource data, wherein the visual rendering at least comprises cloud rendering, light rendering, water surface rendering and soft shadow rendering;
fusing the image format data with the scene through a digital twin engine so as to perform offshore wind power scene configuration; the image format data includes at least a markup image format, an elevation data format, a vector data format, and a 3D model data format.
4. The offshore wind power visualization presentation method of claim 3, wherein the offshore wind power size scene switching based on the preset three-dimensional visualization frame comprises:
constructing an offshore wind farm scene based on the 3D rendering frame, and creating a 3D object;
calculating geometric information of the 3D object in the wind power plant scene based on the three-dimensional map development framework; the geometric information at least comprises vertex position coordinates of the 3D object and the position of the 3D object;
The method comprises the steps of integrally exporting all the created 3D objects into a gltf model, and displaying the gltf model through a three-dimensional map development framework;
and performing offshore wind power size scene switching through scaling operation or inputting geographic coordinates.
5. The offshore wind visualization display method of claim 4, wherein the method further comprises:
constructing an offshore wind farm mechanism model based on real-time operation data of a wind farm, so as to perform operation and maintenance analysis through the offshore wind farm mechanism model; the offshore wind farm mechanism model comprises a wind farm efficiency analysis model, a fan health assessment model and a wind farm operation cost calculation model;
the wind power plant efficiency analysis model is used for carrying out single index analysis, multi-index fusion analysis, unit level analysis and wind power plant level analysis on efficiency data indexes in a wind power plant, wherein the efficiency data indexes at least comprise one or more of the following indexes: wind resources, generated energy, lost electric quantity, running level, equipment reliability and energy consumption and emission reduction;
the fan health evaluation model is used for analyzing and visualizing drawing analysis of relevant data of the wind turbine generator faults and is used for supporting operation and maintenance personnel to locate fault sources;
The fan operation cost analysis model is used for carrying out fan operation maintenance cost calculation and operation maintenance cost prediction in a future maintenance period.
6. The offshore wind farm visual presentation method of claim 2, wherein associating the wind farm equipment model and the wind farm equipment model with the entity model for visual presentation of the operational status of the offshore wind farm comprises:
and establishing a virtual reality scene of the offshore wind turbine and the booster station, and converting real-time operation data of the on-line monitoring of the wind turbine and the offshore booster station and auxiliary systems such as fire protection and video into a physical model which is represented in an image form and changes along with time and space, namely, the three-dimensional physical model and the component model thereof are associated with real-time monitoring data so as to carry out visual display of the operation state of the offshore wind farm.
7. An offshore wind visualization display system, the system comprising: a three-dimensional model database, a wind farm mechanism model and a three-dimensional panoramic visualization subsystem; wherein,,
the three-dimensional model database is subjected to offshore wind power scene configuration after light weight treatment;
the wind power plant mechanism model is used for carrying out operation and maintenance analysis;
The three-dimensional panoramic visualization subsystem is used for real-time perception and scene display.
8. The offshore wind visualization display system of claim 7, wherein the three-dimensional panoramic visualization subsystem comprises a real-time perception module and a base function module, wherein,
the real-time sensing module is used for associating the three-dimensional physical model and the component model thereof with real-time monitoring data to realize the visualization of the running state of the target wind power plant;
the basic function module is used for providing two view modes of a spherical scene and a plane scene, and realizing view switching through scaling processing so as to perform global large scene display and regional small scene switching display.
9. The offshore wind visualization display system of claim 8, wherein the base functional module is further configured to: and (3) performing distance measurement and area measurement according to the longitude and latitude grids of the divided areas, and performing real-time calculation of the distance, area and height difference indexes and the calculation of the ground contact distance and the ground contact area on the three-dimensional model of the terrain or space at the front end.
10. A computer readable storage medium storing computer executable instructions which, when invoked and executed by a processor, cause the processor to implement the offshore wind visualization presentation method of any of claims 1 to 6.
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