CN116361904A - Method and system for examining rendering quality of BIM model of urban rail engineering under rendering engine - Google Patents

Method and system for examining rendering quality of BIM model of urban rail engineering under rendering engine Download PDF

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CN116361904A
CN116361904A CN202310618718.6A CN202310618718A CN116361904A CN 116361904 A CN116361904 A CN 116361904A CN 202310618718 A CN202310618718 A CN 202310618718A CN 116361904 A CN116361904 A CN 116361904A
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郭剑勇
杨炳晔
张春雷
刘哲
庞亚西
马振海
李振远
张红薇
赵世杰
王秀研
吕贺
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China Railway Design Corp
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Abstract

The invention provides a rendering quality inspection method and a rendering quality inspection system for a BIM model of a urban rail engineering under a rendering engine, which relate to the technical field of digital evaluation of urban rail traffic, and aim at the problems of low manual inspection speed, frequently non-objective evaluation and the like of the urban rail engineering model, through the secondary development function of related software, the invention realizes the steps of coordinate extraction, positioning point calculation, image acquisition and quality evaluation of the BIM design result of the urban rail engineering through programming, avoids the subjective judgment problem caused by personnel level difference, further improves the automation degree of evaluation, ensures the objectivity of the evaluation result, shortens the evaluation period and greatly improves the efficiency; according to the coordinates and the directions of the positioning points obtained through calculation, the view angles obtained by the images are fixed, so that the reasons of multi-view angles, multi-layering and the like of the urban rail engineering model are avoided, the phenomenon of missed detection is very easy to occur, and the inspection result is more objective and reliable.

Description

Method and system for examining rendering quality of BIM model of urban rail engineering under rendering engine
Technical Field
The invention relates to the technical field of urban rail transit digital evaluation, in particular to a method and a system for examining the rendering quality of a BIM model of urban rail engineering under a rendering engine.
Background
After building the BIM model, the BIM model is often required to be imported into a rendering engine such as lumion, twinmotion, and in the rendering engine, not only near perfect real-time rendering effect can be obtained, but also various interactive programs can be added, and the BIM model can be packaged into an application program, so that display and interaction can be realized at a client, a mobile terminal, a webpage terminal and even a virtual reality device terminal. After the BIM model of urban rail engineering is converted into a rendering engine, the model expression quality of the BIM model needs to be automatically and intelligently inspected, and inspection results are reported to professional technicians to guide the personnel to modify related parameters of model expression.
The model expression quality is an index of visual perception of model achievements, and can be simply understood as the quality of conditions such as color, material, main view shielding and the like. The rendering engine improves the expression quality of the BIM to a certain extent, but how the final quality is still mainly observed by manpower at present. This has several problems:
1. the urban rail engineering model is inspected through manual observation, so that the speed is low, and the problem of objectivity in evaluation often occurs;
2. when the inspection is performed manually, the visual angle cannot be fixed, and a unified evaluation standard does not exist, so that the evaluation result is different from person to person;
3. due to the multi-view, multi-layering and other reasons of the urban rail engineering model, the phenomenon of missed detection is very easy to occur.
Therefore, the design of the intelligent examination method and the intelligent examination system for the expression quality of the urban rail engineering under the rendering engine is necessary.
Disclosure of Invention
Aiming at the reasons of multi-view, multi-layering and the like of a urban rail engineering model, manual inspection is slow, and the problem that evaluation is not objective frequently occurs, the invention provides a method for inspecting the rendering quality of the urban rail engineering BIM model under a rendering engine, which is characterized in that the urban rail engineering BIM model is led into the rendering engine, a cuboid positioning point identifier is placed in each area to be inspected of the urban rail engineering BIM model, each vertex of the positioning point identifier is used as a lens positioning point, the lens faces the geometric center direction of the positioning point identifier, images of the areas to be inspected are acquired, abnormal pixels of the images of all the areas to be inspected are counted, and the rendering quality of the urban rail engineering BIM model is calculated, and the method specifically comprises the following steps:
step S1: importing the urban rail engineering BIM model into a rendering engine, and acquiring the coordinates of the urban rail engineering BIM model under the rendering engine;
step S2: calculating the lead-in position coordinates and the size parameters of the positioning point identification body according to the coordinates, and placing the positioning point identification body according to the lead-in position coordinates and the size parameters;
step S3: taking each vertex of the positioning point identifier as a positioning point of a lens, wherein the lens faces the direction of the geometric center of the positioning point identifier, and acquiring an image of the region to be checked;
step S4: carrying out abnormal pixel point statistics on the images of all the areas to be checked, and calculating to obtain the rendering quality of the BIM of the urban rail engineering;
step S5: and outputting an expression result according to the rendering quality of the urban rail engineering BIM model.
Further, the area to be examined for placing the positioning point identification body includes: the system comprises a station integral space and a station inner room, wherein the station integral space comprises a station hall layer and a station platform layer, and the station inner room comprises a station control room, an environmental control machine room and a strong and weak current machine room.
Further, in the step S2, the coordinate of the introducing position of the positioning point identifier is used as the coordinate of the geometric center of the positioning point identifier, the long side of the positioning point identifier is parallel to the X-axis of the coordinate system of the rendering engine, the wide side is parallel to the Y-axis of the coordinate system of the rendering engine, and the high side is parallel to the Z-axis of the coordinate system of the rendering engine.
Further, the coordinates of the introduction position of the positioning point identifier are obtained by the following method:
the coordinate of the leading-in position of the locating point identification body for the whole space of the station is S C (X C ,Y C ,Z C ) The calculation formula is as follows:
Figure SMS_1
(1)
Figure SMS_2
(2)
Figure SMS_3
(3)
wherein,,
n C is the number of all structural column members in the whole space of the station,
X C x coordinate values of the leading-in position of the body are identified for the locating point of the whole space of the station,
Y C y coordinate values of the leading-in position of the body are identified for the locating point of the whole space of the station,
Z C z coordinate values of the leading-in position of the body are identified for the locating point of the whole space of the station,
X Ci is the X coordinate value of the ith structural column component in the whole space of the station,
Y Ci is the Y-coordinate value of the ith structural column member in the whole space of the station,
Z Ci z coordinate values of the ith structural column member in the whole space of the station;
the coordinate of the leading-in position of the locating point identification body for the room in the station is S F (X F ,Y F ,Z F ) The calculation formula is as follows:
Figure SMS_4
(4)
Figure SMS_5
(5)
Figure SMS_6
(6)
wherein,,
n F the number of all structural column members for the room in the station,
X F x coordinate values of the leading-in position of the body are identified for the locating point of the room in the station,
Y F y-coordinate values of the introduction position of the body are identified for the positioning points of the room in the station,
Z F z coordinate values of the leading-in position of the body are identified for the locating points of the room in the station,
X Fj is the X coordinate value of the j-th structural column member of the room in the station,
Y Fj y-coordinate values of the j-th structural pillar member for the room in the station,
Z Fj z coordinate values of the j-th structural column member which is a room in the station.
Further, the size parameter includes a length L, a width W, and a height H of the positioning point identifier, and the calculation formula is as follows:
Figure SMS_7
(7)
Figure SMS_8
(8)
Figure SMS_9
(9)
wherein,,
m is the number of all endpoints of the area where the anchor point identification body is placed,
X k to place the X coordinate value of the kth endpoint on the plane in the area of the anchor point identifier,
Y k to place the Y coordinate value of the kth endpoint on the plane in the area of the anchor point identifier,
Z k to place the Z coordinate value of the kth endpoint on the plane in the area of the anchor point identifier,
X d an X coordinate value for identifying the lead-in position of the body for the locating point,
Y d for the Y-coordinate value of the location point identification body,
Z d the Z coordinate value of the leading-in position of the body is identified for the locating point.
Further, in step S3, 8 images are obtained for each region to be inspected, and the image resolutions of the different regions to be inspected are consistent.
Further, in the step S4, a calculation formula of the urban rail engineering BIM model rendering quality is:
Figure SMS_10
(10)
wherein,,
p is the calculated rendering quality value of the urban rail engineering BIM model,
n is the number of images of all the areas to be examined,
h x v is the resolution of the image,
d q the duty ratio of non-white and black pixels in the q-th image in all pixels of the image.
Further, in the step S5, the output expression result is:
when P is more than 90 percent, the rendering engine is judged to have excellent urban rail engineering expression quality,
when 80% < P is less than or equal to 90%, determining that the expression quality of the urban rail engineering under the rendering engine is qualified,
and when P is less than or equal to 80%, judging that the expression quality of the urban rail engineering under the rendering engine is unqualified.
A rendering quality inspection system for a metro engineering BIM model under a rendering engine, using a rendering quality inspection method for the metro engineering BIM model under the rendering engine as described in any one of the above, comprising the following modules:
model importing and coordinate acquiring module: importing the urban rail engineering BIM model into a rendering engine, and acquiring the coordinates of the urban rail engineering BIM model under the rendering engine;
positioning point identification body placement module: the model importing and coordinate acquiring module is connected with the model importing and coordinate acquiring module, the importing position coordinates and the size parameters of the positioning point identification body are calculated according to the coordinates, and the positioning point identification body is placed according to the importing position coordinates and the size parameters;
an image acquisition module: the lens faces the direction of the geometric center of the positioning point identification body, and an image of the area to be checked is obtained;
a rendering quality calculation module: the image acquisition module is connected with the image acquisition module, abnormal pixel point statistics is carried out on the images of all the areas to be checked, and the rendering quality of the urban rail engineering BIM model is obtained through calculation;
the expression result output module: and the rendering quality calculation module is connected with the rendering quality calculation module, and the expression result is output according to the rendering quality of the urban rail engineering BIM model.
Compared with the prior art, the beneficial effect of this application lies in:
firstly, through the secondary development function of related software, each step of urban rail engineering BIM design result coordinate extraction, positioning point calculation and quality assessment is realized through programming, so that the degree of automation of assessment is further improved, the objectivity of the assessment result is ensured, the assessment period is shortened, the efficiency is greatly improved, and the credibility of the examination result is improved;
secondly, the whole process is independently completed by a computer, so that a great number of subjective judgment problems caused by personnel level differences are avoided, and the situation that evaluation is not objective due to manual examination is avoided;
thirdly, the coordinates and the directions of the positioning points are obtained according to calculation, so that the reasons such as multi-view, multi-layering and the like of the urban rail engineering model are avoided, the phenomenon of missed detection is easy to occur, and the inspection result is more objective and reliable.
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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 the implementation of embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a system in embodiment 2 of the present invention.
Detailed Description
The following description of the embodiments of the present application will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, based on the embodiments herein, which would be apparent to one of ordinary skill in the art without making any inventive effort, are intended to be within the scope of the present application.
Those skilled in the art will appreciate that the following specific examples or embodiments are provided as a list of preferred embodiments of the present application for further explanation of the specific disclosure, and that the embodiments may be used in conjunction or association with each other, unless it is explicitly stated that some or some of the specific examples or embodiments are not associated or used together with other examples or embodiments. Meanwhile, the following specific examples or embodiments are merely provided as an optimized arrangement, and are not to be construed as limiting the scope of the present application.
The following describes specific embodiments of the present application with reference to the accompanying drawings (tables).
Aiming at the problems of low manual inspection speed, frequent objectivity in evaluation and the like of a urban rail engineering model due to multiple visual angles, multiple layering and the like of the urban rail engineering model, the invention realizes the steps of coordinate extraction, positioning point calculation, image acquisition and quality evaluation of the urban rail engineering BIM design result through programming by virtue of related software secondary development functions, avoids the problem of subjective judgment caused by personnel level difference, further improves the degree of automation of evaluation, ensures the objectivity of an evaluation result, shortens the evaluation period and greatly improves the efficiency; according to the coordinates and the directions of the positioning points obtained through calculation, the view angles obtained by the images are fixed, so that the reasons of multi-view angles, multi-layering and the like of the urban rail engineering model are avoided, the phenomenon of missed detection is very easy to occur, and the inspection result is more objective and reliable.
Example 1
A rendering quality inspection method for a BIM model of urban rail engineering under a rendering engine is provided, the BIM model of the urban rail engineering is imported into the rendering engine, a cuboid positioning point identification body is placed in each area to be inspected of the BIM model of the urban rail engineering, each vertex of the positioning point identification body is used as a lens positioning point, the lens faces the geometric center direction of the positioning point identification body, an image of the area to be inspected is obtained, abnormal pixels of the image of all the areas to be inspected are counted, and the rendering quality of the BIM model of the urban rail engineering is obtained through calculation, as shown in figure 1, the method comprises the following steps:
step S1: and importing the urban rail engineering BIM model into a rendering engine, and acquiring the coordinates of the urban rail engineering BIM model under the rendering engine.
At present, the technology of importing the BIM model of urban rail engineering into the rendering engine is quite mature, any importing method can be selected, the subsequent examination result is not affected, after the BIM model is imported into the rendering engine, each construction can obtain coordinates under the coordinate system of the rendering engine, and the method for extracting the coordinates is also commonly used.
Step S2: and calculating the lead-in position coordinates and the size parameters of the positioning point identification body according to the coordinates, and placing the positioning point identification body according to the lead-in position coordinates and the size parameters.
The positioning point identification body is a hollow cuboid block, no material or color parameters are set, the coordinate of the leading-in position is used as the coordinate of the geometric center of the positioning point identification body, the long side of the positioning point identification body is parallel to the X axis of the coordinate system of the rendering engine, the wide side of the positioning point identification body is parallel to the Y axis of the coordinate system of the rendering engine, and the high side of the positioning point identification body is parallel to the Z axis of the coordinate system of the rendering engine.
The area where the anchor point identification body is placed includes: the system comprises a station integral space and a station inner room, wherein the station integral space comprises a station hall layer and a station platform layer, and the station inner room comprises a station control room, an environmental control machine room and a strong and weak current machine room.
Two key positions of the whole space of the station, namely a station hall layer and a station platform layer, must ensure the quality of the two spaces led into the rendering engine, so that the expression quality of the station hall layer and the station platform layer under the rendering engine needs to be checked. The indoor rooms of the station comprise three kinds of rooms, namely a station control room, an environment control machine room and a strong and weak electric machine room. These three types of rooms are chosen mainly because they are the most diverse rooms containing model components, and if these rooms pass intelligent examination, other rooms are considered to be acceptable.
The guiding-in position coordinates of the positioning point identification body are obtained by the following method:
1) The coordinate of the leading-in position of the locating point identification body for the whole space of the station is S C (X C ,Y C ,Z C ) The calculation formula is as follows:
Figure SMS_11
(1)
Figure SMS_12
(2)
Figure SMS_13
(3)
wherein,,
n C is the number of all structural column members in the whole space of the station,
X C x coordinate values of the leading-in position of the body are identified for the locating point of the whole space of the station,
Y C y coordinate values of the leading-in position of the body are identified for the locating point of the whole space of the station,
Z C z coordinate values of the leading-in position of the body are identified for the locating point of the whole space of the station,
X Ci is the X coordinate value of the ith structural column component in the whole space of the station,
Y Ci is the Y-coordinate value of the ith structural column member in the whole space of the station,
Z Ci z coordinate values of the ith structural column member in the whole space of the station;
when in calculation, the station hall layer and the platform layer are required to be distinguished, and the coordinate S of the positioning point identification body of the station hall layer is calculated according to the number and the coordinates of all the structural column members in the station hall layer C-hall According to the number and coordinates of all structural column members in the platform layer, calculating the coordinates S of the locating point identification body of the platform layer C-table
2) The coordinate of the leading-in position of the locating point identification body for the room in the station is S F (X F ,Y F ,Z F ) The calculation formula is as follows:
Figure SMS_14
(4)
Figure SMS_15
(5)
Figure SMS_16
(6)
wherein,,
n F for rooms in stationsThe number of all structural column members,
X F x coordinate values of the leading-in position of the body are identified for the locating point of the room in the station,
Y F y-coordinate values of the introduction position of the body are identified for the positioning points of the room in the station,
Z F z coordinate values of the leading-in position of the body are identified for the locating points of the room in the station,
X Fj is the X coordinate value of the j-th structural column member of the room in the station,
Y Fj y-coordinate values of the j-th structural pillar member for the room in the station,
Z Fj z coordinate values of the j-th structural column member which is a room in the station.
The number of control rooms, ring control machine rooms and strong and weak motor rooms in the station is not uniform, and each room corresponds to one positioning point identification body, namely 1 positioning point coordinate. When the system is used for calculating, a control room, an environmental control machine room and a strong and weak current machine room are required to be distinguished, and the coordinates of the positioning point identification bodies of the corresponding rooms are calculated according to the number and the coordinates of all the structural column members in each room.
All structural column members in the whole space of the station and all structural column members in the room refer to structural columns, namely structural columns at all corners in the space and structural columns in the space.
According to formulas (1) - (6), the coordinates of the leading-in position of each locating point identification body can be obtained, the formulas fully combine the arrangement condition of the structural columns in the area to be examined, the coordinates of the leading-in position of the locating point identification body are calculated to be located at the positions with denser structural columns, and the positions are the positions with the most complicated space and the rendering quality to be examined, so that the selection of formulas (1) - (6) is reasonable.
The size parameters of the locating point identification body comprise the length L, the width W and the height H of the hollow cube block, and the calculation formula is as follows:
Figure SMS_17
(7)
Figure SMS_18
(8)
Figure SMS_19
(9)
wherein,,
m is the number of all endpoints of the area where the anchor point identification body is placed,
X k to place the X coordinate value of the kth endpoint on the plane in the area of the anchor point identifier,
Y k to place the Y coordinate value of the kth endpoint on the plane in the area of the anchor point identifier,
Z k to place the Z coordinate value of the kth endpoint on the plane in the area of the anchor point identifier,
X d an X coordinate value for identifying the lead-in position of the body for the locating point,
Y d for the Y-coordinate value of the location point identification body,
Z d the Z coordinate value of the leading-in position of the body is identified for the locating point.
For the locating point identification body of the whole space of the station, if the whole space of the station is a cuboid station hall or platform, 8 endpoints are adopted. If the special-shaped space is formed, the coordinates of each endpoint need to be extracted, and then the length L, the width W and the height H of the locating point identification body are calculated according to the coordinates of all endpoints.
For calculating the size parameters of the locating point identification body in the whole space of the station, X is related in formulas (7) - (9) d 、Y d 、Z d Corresponding to Xc, yc and Zc in formulas (1) - (3), calculating size parameters of positioning point identification bodies in rooms in stations, wherein X is related in formulas (7) - (9) d 、Y d 、Z d X in the corresponding formulas (4) - (6) F 、Y F 、Z F . The reasons for selecting the formulas (7) - (9) are as follows: the coordinate of the position of the positioning point identifier is calculated according to the space complexity, the average value of the end points is calculated as the coordinate of the whole space, the difference value of the coordinate and the coordinate is the set position of the lens visual angle, and the setting can be compatible with peopleVisual perception of the view point can be achieved, the view angle can be fixed, and objectivity of the examination result is guaranteed.
Step S3: and taking each vertex of the positioning point identification body as a positioning point of a lens, wherein the lens faces the direction of the geometric center of the positioning point identification body, and acquiring an image of the region to be inspected.
Each locating point identification body is a hollow cuboid and comprises 8 endpoints, 8 lens positions are corresponding to each locating point identification body, each lens position is photographed for 1 time, and the direction of each lens facing the locating point is taken as the direction of the lens, so that an image can be obtained. Namely 8 images can be obtained by one positioning point identification body, and the image resolutions of different areas to be checked are consistent, so that the statistics of the obtained images is ensured.
Step S4: step S4: and carrying out abnormal pixel point statistics on the images of all the areas to be checked, and calculating to obtain the rendering quality of the urban rail engineering BIM model.
The urban rail engineering BIM model rendering quality calculation formula is as follows:
Figure SMS_20
(10)
wherein,,
p is the calculated rendering quality value of the urban rail engineering BIM model,
n is the number of images of all the areas to be examined,
h x v is the resolution of the image,
d q the duty ratio of non-white and black pixels in the q-th image in all pixels of the image.
When the urban rail engineering BIM model leading-in rendering engine has errors, the error part is displayed as a default color, namely a black background or a white component can appear, and based on the error part, the quality of the urban rail engineering BIM model leading-in rendering engine can be determined by counting the duty ratio of non-white and black pixels in the image in all pixels of all images.
Step S5: and outputting an expression result according to the rendering quality of the urban rail engineering BIM model.
When P is more than 90 percent, the rendering engine is judged to have excellent urban rail engineering expression quality,
when 80% < P is less than or equal to 90%, determining that the expression quality of the urban rail engineering under the rendering engine is qualified,
and when P is less than or equal to 80%, judging that the expression quality of the urban rail engineering under the rendering engine is unqualified.
The examination result is excellent project, and the model can be directly used for the subsequent application of engineering; the qualified project is re-inspected after the model is required to be modified; and the project with unqualified examination results needs to inform a designer of early warning data for modifying the whole station scheme.
Example 2
The invention also provides a rendering quality inspection system for the BIM model of the under-engine urban rail engineering, which uses the rendering quality inspection method for the BIM model of the under-engine urban rail engineering according to any one of the embodiment 1, and comprises the following modules:
model importing and coordinate acquiring module: importing the urban rail engineering BIM model into a rendering engine, and acquiring the coordinates of the urban rail engineering BIM model under the rendering engine;
positioning point identification body placement module: the model importing and coordinate acquiring module is connected with the model importing and coordinate acquiring module, the importing position coordinates and the size parameters of the positioning point identification body are calculated according to the coordinates, and the positioning point identification body is placed according to the importing position coordinates and the size parameters;
an image acquisition module: the lens faces the direction of the geometric center of the positioning point identification body, and an image of the area to be checked is obtained;
a rendering quality calculation module: the image acquisition module is connected with the image acquisition module, abnormal pixel point statistics is carried out on the images of all the areas to be checked, and the rendering quality of the urban rail engineering BIM model is obtained through calculation;
the expression result output module: and the rendering quality calculation module is connected with the rendering quality calculation module, and the expression result is output according to the rendering quality of the urban rail engineering BIM model.
The method and the system solve the problems of multiple visual angles, multiple layering and the like of the urban rail engineering model, the manual examination is slow, and the evaluation is not objective frequently, and the steps of urban rail engineering BIM design result coordinate extraction, positioning point calculation and quality evaluation are realized through programming by virtue of the related software secondary development function, so that the quality of the evaluation is further optimized, the evaluation period is shortened, the efficiency is greatly improved, and the reliability of the examination result is improved; the whole process is independently completed by a computer, so that a great number of subjective judgment problems caused by personnel level differences are avoided, and the situation that evaluation is not objective due to manual examination is avoided; according to the coordinates and the directions of the positioning points obtained through calculation, the reasons of multi-view, multi-layering and the like of the urban rail engineering model are avoided, the phenomenon of missed detection is very easy to occur, and the inspection result is more objective and reliable.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will 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 invention.

Claims (9)

1. A method for examining the rendering quality of a BIM model of a urban rail engineering under a rendering engine is characterized in that the BIM model of the urban rail engineering is imported into the rendering engine, a cuboid positioning point identification body is placed in each area to be examined of the BIM model of the urban rail engineering, each vertex of the positioning point identification body is used as a positioning point of a lens, the lens faces the geometric center of the positioning point identification body, an image of the area to be examined where the positioning point identification body is located is obtained, abnormal pixels of the images of all the areas to be examined are counted, and the rendering quality of the BIM model of the urban rail engineering is obtained through calculation, and the method specifically comprises the following steps:
step S1: importing the urban rail engineering BIM model into a rendering engine, and acquiring the coordinates of the urban rail engineering BIM model under the rendering engine;
step S2: calculating the lead-in position coordinates and the size parameters of the positioning point identification body according to the coordinates, and placing the positioning point identification body according to the lead-in position coordinates and the size parameters;
step S3: taking each vertex of the positioning point identifier as a positioning point of a lens, wherein the lens faces the direction of the geometric center of the positioning point identifier, and acquiring an image of the region to be checked;
step S4: carrying out abnormal pixel point statistics on the images of all the areas to be checked, and calculating to obtain the rendering quality of the BIM of the urban rail engineering;
step S5: and outputting an expression result according to the rendering quality of the urban rail engineering BIM model.
2. The method for inspecting rendering quality of a BIM model for urban rail engineering under a rendering engine according to claim 1, wherein the area to be inspected for placing the positioning point identifier comprises: the system comprises a station integral space and a station inner room, wherein the station integral space comprises a station hall layer and a station platform layer, and the station inner room comprises a station control room, an environmental control machine room and a strong and weak current machine room.
3. The method for examining the rendering quality of the BIM model for the urban rail engineering under the rendering engine according to claim 1, wherein in the step S2, the coordinate of the leading-in position of the positioning point identification body is used as the coordinate of the geometric center of the positioning point identification body, the long side of the positioning point identification body is parallel to the X axis of the coordinate system of the rendering engine, the wide side is parallel to the Y axis of the coordinate system of the rendering engine, and the high side is parallel to the Z axis of the coordinate system of the rendering engine.
4. A method for examining rendering quality of a BIM model for urban rail engineering under a rendering engine according to claim 3, wherein the coordinates of the introduction position of the positioning point identifier are obtained by the following method:
the coordinate of the leading-in position of the locating point identification body for the whole space of the station is S C (X C ,Y C ,Z C ) The calculation formula is as follows:
Figure QLYQS_1
(1)
Figure QLYQS_2
(2)
Figure QLYQS_3
(3)
wherein,,
n C is the number of all structural column members in the whole space of the station,
X C x coordinate values of the leading-in position of the body are identified for the locating point of the whole space of the station,
Y C y coordinate values of the leading-in position of the body are identified for the locating point of the whole space of the station,
Z C z coordinate values of the leading-in position of the body are identified for the locating point of the whole space of the station,
X Ci is the X coordinate value of the ith structural column component in the whole space of the station,
Y Ci is the Y-coordinate value of the ith structural column member in the whole space of the station,
Z Ci z coordinate values of the ith structural column member in the whole space of the station;
the coordinate of the leading-in position of the locating point identification body for the room in the station is S F (X F ,Y F ,Z F ) The calculation formula is as follows:
Figure QLYQS_4
(4)
Figure QLYQS_5
(5)
Figure QLYQS_6
(6)
wherein,,
n F the number of all structural column members for the room in the station,
X F x coordinate values of the leading-in position of the body are identified for the locating point of the room in the station,
Y F y-coordinate values of the introduction position of the body are identified for the positioning points of the room in the station,
Z F z coordinate values of the leading-in position of the body are identified for the locating points of the room in the station,
X Fj is the X coordinate value of the j-th structural column member of the room in the station,
Y Fj y-coordinate values of the j-th structural pillar member for the room in the station,
Z Fj z coordinate values of the j-th structural column member which is a room in the station.
5. The method for examining the rendering quality of the BIM model for urban rail engineering under a rendering engine according to claim 1, wherein in the step S2, the size parameters include the length L, the width W and the height H of the positioning point identifier, and the calculation formula is as follows:
Figure QLYQS_7
(7)
Figure QLYQS_8
(8)
Figure QLYQS_9
(9)
wherein,,
m is the number of all endpoints of the area where the anchor point identification body is placed,
X k to place the X coordinate value of the kth endpoint on the plane in the area of the anchor point identifier,
Y k to place the Y coordinate value of the kth endpoint on the plane in the area of the anchor point identifier,
Z k to place the Z coordinate value of the kth endpoint on the plane in the area of the anchor point identifier,
X d an X coordinate value for identifying the lead-in position of the body for the locating point,
Y d for the Y-coordinate value of the location point identification body,
Z d the Z coordinate value of the leading-in position of the body is identified for the locating point.
6. The method for examining the rendering quality of the BIM model for urban rail engineering under a rendering engine according to claim 1, wherein in the step S3, 8 images are obtained for each region to be examined, and the image resolutions of different regions to be examined are consistent.
7. The method for examining the rendering quality of the metro engineering BIM model under the rendering engine according to claim 1, wherein in the step S4, the calculation formula of the rendering quality of the metro engineering BIM model is:
Figure QLYQS_10
(10)
wherein,,
p is the calculated rendering quality value of the urban rail engineering BIM model,
n is the number of images of all the areas to be examined,
h x v is the resolution of the image,
d q the duty ratio of non-white and black pixels in the q-th image in all pixels of the image.
8. The method for examining the rendering quality of the BIM model for urban rail engineering under a rendering engine according to claim 7, wherein in the step S5, the output expression result is:
when P is more than 90 percent, the rendering engine is judged to have excellent urban rail engineering expression quality,
when 80% < P is less than or equal to 90%, determining that the expression quality of the urban rail engineering under the rendering engine is qualified,
and when P is less than or equal to 80%, judging that the expression quality of the urban rail engineering under the rendering engine is unqualified.
9. A system for inspecting the rendering quality of a BIM model of urban rail engineering under a rendering engine, which is characterized by comprising the following modules:
model importing and coordinate acquiring module: importing the urban rail engineering BIM model into a rendering engine, and acquiring the coordinates of the urban rail engineering BIM model under the rendering engine;
positioning point identification body placement module: the model importing and coordinate acquiring module is connected with the model importing and coordinate acquiring module, the importing position coordinates and the size parameters of the positioning point identification body are calculated according to the coordinates, and the positioning point identification body is placed according to the importing position coordinates and the size parameters;
an image acquisition module: the lens faces the direction of the geometric center of the positioning point identification body, and an image of the area to be checked is obtained;
a rendering quality calculation module: the image acquisition module is connected with the image acquisition module, abnormal pixel point statistics is carried out on the images of all the areas to be checked, and the rendering quality of the urban rail engineering BIM model is obtained through calculation;
the expression result output module: and the rendering quality calculation module is connected with the rendering quality calculation module, and the expression result is output according to the rendering quality of the urban rail engineering BIM model.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117689757A (en) * 2023-12-18 2024-03-12 得林可(杭州)信息技术有限公司 Task dynamic allocation method and system based on two-D graphic engine

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3355279A1 (en) * 2017-01-30 2018-08-01 3D Repo Ltd Method and computer programs for identifying differences between 3-dimensional scenes
CN111524172A (en) * 2020-03-30 2020-08-11 平安城市建设科技(深圳)有限公司 Building construction progress evaluation method and device and storage medium
CN111858828A (en) * 2020-09-24 2020-10-30 北京数字政通科技股份有限公司 Three-dimensional geographic data oriented transmission and rendering method and system
CN112085468A (en) * 2020-09-03 2020-12-15 上海容基工程项目管理有限公司 Project construction supervision method, device and system and readable storage medium
WO2021249358A1 (en) * 2020-06-08 2021-12-16 华为技术有限公司 Rendering method, device and system
CN114693611A (en) * 2022-03-16 2022-07-01 杭州群核信息技术有限公司 Rendering quality evaluation method, device, computer equipment and medium
WO2022147964A1 (en) * 2021-01-07 2022-07-14 稿定(厦门)科技有限公司 Image distortion rendering method and apparatus
CN115829523A (en) * 2023-02-15 2023-03-21 中国铁路设计集团有限公司 Digital examination method for component identification codes in BIM (building information modeling) model of urban rail station

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3355279A1 (en) * 2017-01-30 2018-08-01 3D Repo Ltd Method and computer programs for identifying differences between 3-dimensional scenes
CN111524172A (en) * 2020-03-30 2020-08-11 平安城市建设科技(深圳)有限公司 Building construction progress evaluation method and device and storage medium
WO2021249358A1 (en) * 2020-06-08 2021-12-16 华为技术有限公司 Rendering method, device and system
CN112085468A (en) * 2020-09-03 2020-12-15 上海容基工程项目管理有限公司 Project construction supervision method, device and system and readable storage medium
CN111858828A (en) * 2020-09-24 2020-10-30 北京数字政通科技股份有限公司 Three-dimensional geographic data oriented transmission and rendering method and system
WO2022147964A1 (en) * 2021-01-07 2022-07-14 稿定(厦门)科技有限公司 Image distortion rendering method and apparatus
CN114693611A (en) * 2022-03-16 2022-07-01 杭州群核信息技术有限公司 Rendering quality evaluation method, device, computer equipment and medium
CN115829523A (en) * 2023-02-15 2023-03-21 中国铁路设计集团有限公司 Digital examination method for component identification codes in BIM (building information modeling) model of urban rail station

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117689757A (en) * 2023-12-18 2024-03-12 得林可(杭州)信息技术有限公司 Task dynamic allocation method and system based on two-D graphic engine
CN117689757B (en) * 2023-12-18 2024-05-28 得林可(杭州)信息技术有限公司 Task dynamic allocation method and system based on two-D graphic engine

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