CN117934673A - Cesium-based gas station leakage simulation visualization method - Google Patents
Cesium-based gas station leakage simulation visualization method Download PDFInfo
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- CN117934673A CN117934673A CN202410106386.8A CN202410106386A CN117934673A CN 117934673 A CN117934673 A CN 117934673A CN 202410106386 A CN202410106386 A CN 202410106386A CN 117934673 A CN117934673 A CN 117934673A
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- 238000004088 simulation Methods 0.000 title claims abstract description 114
- 229910052792 caesium Inorganic materials 0.000 title claims abstract description 72
- TVFDJXOCXUVLDH-UHFFFAOYSA-N caesium atom Chemical compound [Cs] TVFDJXOCXUVLDH-UHFFFAOYSA-N 0.000 title claims abstract description 72
- 238000007794 visualization technique Methods 0.000 title claims abstract description 14
- 238000009792 diffusion process Methods 0.000 claims abstract description 39
- 230000000694 effects Effects 0.000 claims abstract description 25
- 238000009877 rendering Methods 0.000 claims abstract description 24
- 230000007613 environmental effect Effects 0.000 claims abstract description 16
- 238000006243 chemical reaction Methods 0.000 claims abstract description 14
- 238000000034 method Methods 0.000 claims abstract description 13
- 239000007789 gas Substances 0.000 claims description 75
- 239000002245 particle Substances 0.000 claims description 48
- 238000012800 visualization Methods 0.000 claims description 18
- 239000013598 vector Substances 0.000 claims description 16
- 239000002737 fuel gas Substances 0.000 claims description 8
- 238000004040 coloring Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 239000011159 matrix material Substances 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 239000000779 smoke Substances 0.000 claims description 2
- 238000011160 research Methods 0.000 description 4
- 230000001133 acceleration Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000005094 computer simulation Methods 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000012805 post-processing Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Abstract
The invention discloses a Cesium-based gas station leakage simulation visualization method, which relates to the technical field of image rendering, and utilizes Cesium in combination with node. Js technology to model on a virtual geographic space position through a JavaScript script on a web browser, wherein the method comprises the following steps of: acquiring various related data of a station by using tools such as an unmanned plane, modeling the acquired oblique photographic data of a target station, completing coordinate conversion, converting the data into a Cesium supported 3D tiles format, and importing model data at a web end; rendering the appointed leakage point by utilizing the leakage simulation based on the diffusion model, simulating the gas leakage under the natural condition, and modifying various environmental parameters and completing the real-time simulation; and fusing the rendering result with the three-dimensional model to achieve the final simulation effect. According to the invention, a user can select the station leakage simulation point and simulate leakage according to own requirements, so that the gas station leakage simulation of the web terminal is realized.
Description
Technical Field
The invention relates to the technical field of image rendering, in particular to a Cesium-based gas station leakage simulation visualization method.
Background
Gas leakage is a phenomenon that gas is accidentally leaked in the air from a pipeline or a steel bottle, and is characterized in that a large amount of gas is leaked in a short time, the gas can last for a long time, and serious damage can be caused to surrounding environment and equipment. At present, the research on gas leakage is mainly aimed at accurately identifying leakage points, so that the accuracy and convenience of gas leakage source positioning are improved, and the research on visual simulation of gas leakage of a station is less. However, the dynamic simulation analysis is carried out on the leakage and diffusion rules of the natural gas station facilities, and the dynamic simulation analysis is also very important to reduce casualties caused by gas leakage and property loss.
Cesium is an open source 3DGIS JavaScript library which can be used for loading massive three-dimensional model data, unmanned aerial vehicle inclined image data and the like, cesium is a cross-platform and cross-browser JavaScript library for displaying three-dimensional earth and maps, and hardware acceleration graphics are carried out by using WebGL, any plug-in is not required to be installed in use, and compatibility is good, so that the method can be used for creating a world-level 3D globe and map with high performance and usability and developing a gas station leakage simulation visualization system based on cesium.
The existing three-dimensional rendering engine mainly aims at rendering geographic information, is less in research on environmental simulation based on the geographic information, only supports simple simulation effect based on a particle system, is poor in fidelity, and is hardly involved in visual simulation of gas leakage.
Cesium is a map engine written based on JavaScript and using WebGL, and can realize rendering of three-dimensional geographic information based on remote sensing images, however, in the aspect of gas leakage diffusion, a Cesium bottom frame has no perfect simulation system, only has a simple simulation effect based on a particle system, has low fidelity, and has no relation to the simulation effect of gas leakage.
Disclosure of Invention
The invention aims at: aiming at the problems that Cesium is a map engine which is written based on JavaScript and uses WebGL at present, three-dimensional geographic information can be rendered based on remote sensing images, however, in the aspect of gas leakage diffusion, a Cesium bottom frame has no perfect simulation system, only a simple simulation effect based on a particle system is low in fidelity, and the simulation effect on gas leakage is not related, the gas station leakage simulation visualization method based on Cesium is provided, the corresponding gas leakage visualization simulation effect can be generated according to the station environment, the simulation effect is fused into the real environment of the station, and the simulation effect has higher fidelity in the aspect of gas leakage at the designated point of the gas station, and the problems are solved.
The technical scheme adopted by the invention is as follows:
Step S1: modeling the collected oblique photography data of the target station, completing format conversion and coordinate conversion of the oblique photography data of the target station by utilizing Cesiumlab, converting the data into a 3D tiles format supported by Cesium, and loading the data in a gas station leakage simulation visualization system based on Cesium;
Step S2: adding entity points, embedding a diffusion model, and rendering a designated leakage point by utilizing leakage simulation based on the diffusion model;
Step S3: and fusing the rendering result with the three-dimensional model of the gas station to achieve the final simulation effect.
Further, the model is; cesium existing coloring models;
Further, the model is; a leakage simulation model based on a Gaussian diffusion model and loaded on the Cesium interface;
further, the step S1 includes:
Step S11: acquiring fuel gas station inclination data by using an unmanned aerial vehicle, and modeling the acquired data by modeling software such as ContextCapture, pix, 4, dmapper and the like to obtain a three-dimensional model of the target fuel gas station;
step S12: converting the OSGB three-dimensional model of the target gas station into a Cesium engine supported 3D tiles format in Cesiumlab, and outputting the 3D tiles format into a database;
Step S13: three-dimensional model data of the target gas terminal is received using Cesium3DTileset in the Cesium-based gas terminal leak simulation visualization system and tileset. Json is parsed in Cesium3 DTileset.
Further, the step S2 includes:
step S21: calling the added entity point entity, obtaining a coordinate vector of the entity in a Cesium-based gas station leakage simulation visualization system map, and taking the coordinate vector as a designated leakage point;
Step S22: introducing a basic particle system, controlling imageSize, speed and other parameters, setting the particle size, controlling the number of particles emitted per second through emissionRate, and changing the concentration of the particles;
Step S23: the particle system is provided with a updateCallback which modifies the properties of particles in the simulation process, and a leakage simulation model based on a Gaussian diffusion model loaded by a Cesium interface is introduced by utilizing updateCallback;
Step S24: and judging the speed, direction, track range and the like of the gas leakage simulation according to the leakage simulation model based on the Gaussian diffusion model.
Step S31: matrix4 transformation Matrix positioning is used: according to the coordinates of the designated leakage points in the map of the gas station leakage simulation visualization system based on Cesium, calculating coordinate vectors of the leakage points in world coordinates by utilizing modelMatrix, and completing coordinate conversion;
Step S32: and converting the particle emitter in a local coordinate system of the particle system by emitterModelMatrix according to the calculated coordinate vector of the leakage point in the world coordinate, and finally completing simulation of the specified leakage point at a specific position in the three-dimensional model.
Step S241 includes:
Determining a simulation geometry, and generating a calculation grid;
setting environmental parameters such as atmospheric stability, environmental wind speed, average temperature and average humidity;
selecting a particle color effect, and determining a leakage simulation range of a leakage point coordinate to be simulated by using a diffusion model according to a set environmental parameter;
And finally rendering the particle emitter according to the to-be-rendered range of the coordinates of the leakage point and the to-be-rendered range of the coordinate point which does not need to be simulated.
The determining the leakage simulation range of the coordinates of the leakage point to be simulated comprises the following steps:
Wherein: q represents strong source, kg/s; u represents wind speed, m/s; h represents the effective source height, m; σ y represents the diffusion coefficient of the cross wind direction; σ z represents the diffusion coefficient of the vertical wind direction; y, z represents a transverse coordinate and a longitudinal coordinate, respectively; the gas leakage range and the particle leakage trajectory can be determined.
The invention provides a gas station leakage simulation visualization method based on Cesium, which is characterized in that collected oblique photographic data of a target station are modeled, coordinate conversion is completed, the data are converted into a 3D tiles format supported by Cesium, and the data are loaded in Cesium; rendering the designated leakage points by utilizing a leakage simulation based on a Gaussian diffusion model; fusing the rendering result with the three-dimensional model to achieve a final simulation effect; the method can generate corresponding gas leakage simulation effects according to different environment parameters, integrate the simulation effects with the three-dimensional model, achieve the final simulation effect, can specify leakage points, achieve the simulation animation of accurately simulating target areas and objects, simultaneously, can select station leakage simulation points and simulate leakage according to own needs, has higher fidelity in the aspect of gas leakage simulation, and achieves gas station leakage simulation of web ends.
Drawings
FIG. 1 is a schematic block diagram of a gas station leak simulation visualization method based on Cesium;
FIG. 2 is a flow chart of a gas station leak simulation visualization method based on Cesium.
Detailed Description
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other, and the present application will be further described in detail with reference to the drawings and the specific embodiments.
The features and capabilities of the present invention are described in further detail below in connection with the embodiments.
Example 1
Cesium is used as an open source JavaScript library which can be used for loading massive three-dimensional model data, image data and the like, cesium is a cross-platform and cross-browser JavaScript library for displaying three-dimensional earth and map, webGL is used for carrying out hardware acceleration graphics, and any plug-in is not required to be installed during use. However, the existing three-dimensional rendering engine mainly aims at rendering geographic information, has little research on environmental simulation based on the geographic information, only supports simple weather effect based on a particle system, and has poor fidelity; cesium a WebGL map engine written based on JavaScript can realize the rendering of three-dimensional geographic information based on remote sensing images, however, cesium has no perfect simulation system in the aspect of gas leakage diffusion, and only has simple smoke effect based on a particle system, and has lower fidelity.
Aiming at the problems, the embodiment provides a gas station leakage simulation visualization method based on Cesium, which can select simulation leakage points according to different set environmental parameters, generate corresponding gas leakage simulation ranges and leakage tracks, and has higher fidelity in terms of simulation animation.
Referring to the description of the drawings, a gas station leakage simulation visualization method based on Cesium is provided, and it is to be noted that the generation method can be used for realizing a gas leakage simulation effect on an existing model by aiming at a scene post-processing mode or modifying Cesium an existing coloring model mode.
In this embodiment, as shown in fig. 1 and fig. 2, a method for visualizing leakage simulation of a gas station based on Cesium specifically includes the following steps for a scene post-processing mode;
Step S1: modeling the collected oblique photography data of the target station, completing format conversion and coordinate conversion of the oblique photography data of the target station by utilizing Cesiumlab, converting the data into a 3D tiles format supported by Cesium, and loading the data in a gas station leakage simulation visualization system based on Cesium;
Step S2: adding entity points, embedding a diffusion model, and rendering a designated leakage point by utilizing leakage simulation based on the diffusion model;
Step S3: and fusing the rendering result with the three-dimensional model of the gas station to achieve the final simulation effect.
Further, the model is; cesium existing coloring models;
Further, the model is; a leakage simulation model based on a Gaussian diffusion model and loaded on the Cesium interface;
further, the step S1 includes:
Step S11: acquiring fuel gas station inclination data by using an unmanned aerial vehicle, and modeling the acquired data by modeling software such as ContextCapture, pix, 4, dmapper and the like to obtain a three-dimensional model of the target fuel gas station;
step S12: converting the OSGB three-dimensional model of the target gas station into a Cesium engine supported 3D tiles format in Cesiumlab, and outputting the 3D tiles format into a database;
Step S13: three-dimensional model data of the target gas terminal is received using Cesium3DTileset in the Cesium-based gas terminal leak simulation visualization system and tileset. Json is parsed in Cesium3 DTileset.
Further, the step S2 includes:
step S21: calling the added entity point entity, obtaining a coordinate vector of the entity in a Cesium-based gas station leakage simulation visualization system map, and taking the coordinate vector as a designated leakage point;
Step S22: introducing a basic particle system, controlling imageSize, speed and other parameters, setting the particle size, controlling the number of particles emitted per second through emissionRate, and changing the concentration of the particles;
Step S23: the particle system is provided with a updateCallback which modifies the properties of particles in the simulation process, and a leakage simulation model based on a Gaussian diffusion model loaded by a Cesium interface is introduced by utilizing updateCallback;
Step S24: and judging the speed, direction, track range and the like of the gas leakage simulation according to the leakage simulation model based on the Gaussian diffusion model.
Step S31: matrix4 transformation Matrix positioning is used: according to the coordinates of the designated leakage points in the map of the gas station leakage simulation visualization system based on Cesium, calculating coordinate vectors of the leakage points in world coordinates by utilizing modelMatrix, and completing coordinate conversion;
Step S32: and converting the particle emitter in a local coordinate system of the particle system by emitterModelMatrix according to the calculated coordinate vector of the leakage point in the world coordinate, and finally completing simulation of the specified leakage point at a specific position in the three-dimensional model.
In this embodiment, specifically, the step S24 includes:
Step S241 includes:
Determining a simulation geometry, and generating a calculation grid;
setting environmental parameters such as atmospheric stability, environmental wind speed, average temperature and average humidity;
selecting a particle color effect, and determining a leakage simulation range of a leakage point coordinate to be simulated by using a diffusion model according to a set environmental parameter;
And finally rendering the particle emitter according to the to-be-rendered range of the coordinates of the leakage point and the to-be-rendered range of the coordinate point which does not need to be simulated.
The determining the leakage simulation range of the coordinates of the leakage point to be simulated comprises the following steps:
Wherein: q represents strong source, kg/s; u represents wind speed, m/s; h represents the effective source height, m; σ y represents the diffusion coefficient of the cross wind direction; σ z represents the diffusion coefficient of the vertical wind direction; y, z represents a transverse coordinate and a longitudinal coordinate, respectively; the gas leakage range and the particle leakage trajectory can be determined.
Example two
In the embodiment, a gas station leakage simulation visualization method based on Cesium specifically comprises the following steps aiming at the Cesium existing shader model;
Step S1: modeling the collected oblique photography data of the target station, completing format conversion and coordinate conversion of the oblique photography data of the target station by utilizing Cesiumlab, converting the data into a 3D tiles format supported by Cesium, and loading the data in a gas station leakage simulation visualization system based on Cesium;
Step S2: adding entity points, embedding a diffusion model, and rendering a designated leakage point by utilizing leakage simulation based on the diffusion model;
Step S3: and fusing the rendering result with the three-dimensional model of the gas station to achieve the final simulation effect.
Further, the model is; cesium existing coloring models;
Further, the model is; a leakage simulation model based on a Gaussian diffusion model and loaded on the Cesium interface;
further, the step S1 includes:
Step S11: acquiring fuel gas station inclination data by using an unmanned aerial vehicle, and modeling the acquired data by modeling software such as ContextCapture, pix, 4, dmapper and the like to obtain a three-dimensional model of the target fuel gas station;
step S12: converting the OSGB three-dimensional model of the target gas station into a Cesium engine supported 3D tiles format in Cesiumlab, and outputting the 3D tiles format into a database;
Step S13: three-dimensional model data of the target gas terminal is received using Cesium3DTileset in the Cesium-based gas terminal leak simulation visualization system and tileset. Json is parsed in Cesium3 DTileset.
Further, the step S2 includes:
step S21: calling the added entity point entity, obtaining a coordinate vector of the entity in a Cesium-based gas station leakage simulation visualization system map, and taking the coordinate vector as a designated leakage point;
Step S22: introducing a basic particle system, controlling imageSize, speed and other parameters, setting the particle size, controlling the number of particles emitted per second through emissionRate, and changing the concentration of the particles;
Step S23: the particle system is provided with a updateCallback which modifies the properties of particles in the simulation process, and a leakage simulation model based on a Gaussian diffusion model loaded by a Cesium interface is introduced by utilizing updateCallback;
Step S24: and judging the speed, direction, track range and the like of the gas leakage simulation according to the leakage simulation model based on the Gaussian diffusion model.
Step S31: matrix4 transformation Matrix positioning is used: according to the coordinates of the designated leakage points in the map of the gas station leakage simulation visualization system based on Cesium, calculating coordinate vectors of the leakage points in world coordinates by utilizing modelMatrix, and completing coordinate conversion;
Step S32: and converting the particle emitter in a local coordinate system of the particle system by emitterModelMatrix according to the calculated coordinate vector of the leakage point in the world coordinate, and finally completing simulation of the specified leakage point at a specific position in the three-dimensional model.
In this embodiment, specifically, the step S24 includes:
Step S241 includes:
Determining a simulation geometry, and generating a calculation grid;
setting environmental parameters such as atmospheric stability, environmental wind speed, average temperature and average humidity;
selecting a particle color effect, and determining a leakage simulation range of a leakage point coordinate to be simulated by using a diffusion model according to a set environmental parameter;
And finally rendering the particle emitter according to the to-be-rendered range of the coordinates of the leakage point and the to-be-rendered range of the coordinate point which does not need to be simulated.
The determining the leakage simulation range of the coordinates of the leakage point to be simulated comprises the following steps:
Wherein: q represents strong source, kg/s; u represents wind speed, m/s; h represents the effective source height, m; σ y represents the diffusion coefficient of the cross wind direction; σ z represents the diffusion coefficient of the vertical wind direction; y, z represents a transverse coordinate and a longitudinal coordinate, respectively; the gas leakage range and the particle leakage trajectory can be determined.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various equivalent changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A Cesium-based gas station leakage simulation visualization method, which is characterized by comprising the following steps:
Step S1: modeling the collected oblique photography data of the target station, completing format conversion and coordinate conversion of the oblique photography data of the target station by utilizing Cesiumlab, converting the data into a 3D tiles format supported by Cesium, and loading the data in a gas station leakage simulation visualization system based on Cesium;
Step S2: adding entity points, embedding a diffusion model, and rendering a designated leakage point by utilizing leakage simulation based on the diffusion model;
Step S3: and fusing the rendering result with the three-dimensional model of the gas station to achieve the final simulation effect.
2. The Cesium-based gas station leak simulation visualization method of claim 1, wherein the diffusion model is: cesium existing coloring models.
3. The Cesium-based gas station leak simulation visualization method as defined in claim 1, wherein the three-dimensional model is: leakage simulation model based on Gauss diffusion model based on Cesium interface loading.
4. The method for visualizing leakage simulation of a gas station based on Cesium as set forth in claim 1, wherein the step S1 includes:
Step S11: acquiring fuel gas station inclination data by using an unmanned aerial vehicle, and modeling the acquired data by ContextCapture, pix 4.4. 4Dmapper modeling software to obtain a three-dimensional model of the target fuel gas station;
Step S12: converting the OSGB three-dimensional model of the target gas station into a Cesium supported 3D tiles format in Cesiumlab, and outputting the 3D tiles format into a database;
Step S13: three-dimensional model data of the target gas terminal is received using Cesium3DTileset in the Cesium-based gas terminal leak simulation visualization system and tileset. Json is parsed in Cesium3 DTileset.
5. The method for visualizing leakage simulation of a gas station based on Cesium as set forth in claim 1, wherein the step S2 includes:
step S21: calling the added entity point entity, obtaining a coordinate vector of the entity in a Cesium-based gas station leakage simulation visualization system map, and taking the coordinate vector as a designated leakage point;
Step S22: introducing a basic particle system, controlling imageSize, speed parameters, setting particle size, controlling the number of emitted particles per second through emissionRate, and changing the concentration of the particles;
Step S23: the particle system is provided with a updateCallback which modifies the properties of particles in the simulation process, and a leakage simulation model based on a Gaussian diffusion model loaded by a Cesium interface is introduced by utilizing updateCallback;
Step S24: and judging the speed, direction and track range of the gas leakage simulation according to the leakage simulation model based on the Gaussian diffusion model.
6. The method for visualizing leakage simulation of a gas station based on Cesium as set forth in claim 1, wherein the step S3 includes:
step S31: matrix4 transformation Matrix positioning is used: according to the coordinates of the designated leakage points in the map of the gas station leakage simulation visualization system based on Cesium, calculating coordinate vectors of the leakage points in world coordinates by utilizing modelMatrix, and completing coordinate conversion;
Step S32: and converting the particle emitter in a local coordinate system of the particle system by emitterModelMatrix according to the calculated coordinate vector of the leakage point in the world coordinate, and finally completing simulation of the specified leakage point at a specific position in the three-dimensional model.
7. The method for visualizing a gas terminal leakage simulation based on Cesium of claim 5, wherein said step S24 comprises:
Determining a simulation geometry, and generating a calculation grid;
Setting environmental parameters of atmospheric stability, environmental wind speed, average temperature and average humidity;
Selecting a particle color effect, and determining a leakage simulation range and a smoke effect of a leakage point coordinate to be simulated by using a diffusion model according to a set environmental parameter;
The particle emitter performs final rendering according to the to-be-rendered range of the coordinates of the leakage point and the to-be-rendered range of the coordinate point which does not need simulation;
The leakage simulation range of the coordinates of the leakage points to be simulated is determined, and the expression is as follows:
Wherein: q represents strong source, kg/s; u represents wind speed, m/s; h represents the effective source height, m; σ y represents the diffusion coefficient of the cross wind direction; σ z represents the diffusion coefficient of the vertical wind direction; y, z represent the transverse and longitudinal coordinates, respectively.
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