KR101665446B1 - Apparatus and method for generating 3d facility layout data from point-cloud data - Google Patents

Apparatus and method for generating 3d facility layout data from point-cloud data Download PDF

Info

Publication number
KR101665446B1
KR101665446B1 KR1020150044481A KR20150044481A KR101665446B1 KR 101665446 B1 KR101665446 B1 KR 101665446B1 KR 1020150044481 A KR1020150044481 A KR 1020150044481A KR 20150044481 A KR20150044481 A KR 20150044481A KR 101665446 B1 KR101665446 B1 KR 101665446B1
Authority
KR
South Korea
Prior art keywords
data
shape
facility
dimensional
shape data
Prior art date
Application number
KR1020150044481A
Other languages
Korean (ko)
Other versions
KR20160117704A (en
Inventor
문두환
김병철
Original Assignee
경북대학교 산학협력단
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 경북대학교 산학협력단 filed Critical 경북대학교 산학협력단
Priority to KR1020150044481A priority Critical patent/KR101665446B1/en
Priority to PCT/KR2016/002970 priority patent/WO2016159566A1/en
Publication of KR20160117704A publication Critical patent/KR20160117704A/en
Application granted granted Critical
Publication of KR101665446B1 publication Critical patent/KR101665446B1/en

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics

Abstract

The present invention relates to an apparatus and method for generating three-dimensional facility layout data from point cloud data. The apparatus for generating three-dimensional facility data according to an embodiment of the present invention includes: a shape data generation unit for generating three-dimensional shape data from point cloud data obtained by scanning a facility; A piping data processing unit for identifying a piping part from the three-dimensional shape data of the facility and removing shape data corresponding to the piping from the three-dimensional shape data of the facility; A device data processing unit for identifying the device part in the three-dimensional shape data from which the shape data corresponding to the pipe is removed and matching the description data of the device in the facility provided in advance; And a shape data combining unit for combining shape data corresponding to the apparatus and shape data corresponding to the pipe to output facility layout data.

Figure R1020150044481

Description

TECHNICAL FIELD [0001] The present invention relates to an apparatus and a method for generating three-dimensional facility layout data from point cloud data,

The present invention relates to an apparatus and method for generating three-dimensional facility layout data from point cloud data.

A plant is a collection of facilities that processes and processes raw materials to produce a specific product. For example, an offshore plant is a facility that excavates, drills and produces resources such as oil and gas buried in the sea. A desalination plant is a factory facility that processes seawater and obtains fresh water from it. Such a plant is typically complicated by machinery for processing or controlling fluid and piping facilities for providing fluid to the machine.

In the course of operation of the plant, the 3D CAD data of the plant may be needed to maintain the plant. However, it is often time-consuming to construct 3D CAD data from the plant's 2D drawings to the entire plant. Also, in case of constructing a new plant, in order to check whether the completed plant is dried as originally designed even after receiving the 3D CAD data of the plant from the manufacturer, the 3D CAD data May be required.

It is an object of the present invention to provide an apparatus and a method for generating three-dimensional arrangement data of a facility from point cloud data obtained by scanning a facility such as a plant or an ocean structure three-dimensionally.

The apparatus for generating three-dimensional facility data according to an embodiment of the present invention includes: a shape data generation unit for generating three-dimensional shape data from point cloud data obtained by scanning a facility; A piping data processing unit for identifying a piping part from the three-dimensional shape data of the facility and removing shape data corresponding to the piping from the three-dimensional shape data of the facility; A device data processing unit for identifying the device part in the three-dimensional shape data from which the shape data corresponding to the pipe is removed and matching the description data of the device in the facility provided in advance; And a shape data combining unit for combining shape data corresponding to the apparatus and shape data corresponding to the pipe to output facility layout data.

The shape data generation unit may generate triangular mesh shape data representing the external shape of the facility as a triangle mesh from the point cloud data.

The shape data generation unit may generate the triangle mesh shape data by connecting adjacent points included in the point cloud data by a straight line.

The piping data processing unit may retrieve the dimensional data of the piping installed in the facility and then detect a portion corresponding to the dimensional data among the three-dimensional shape data of the facility and determine the portion as the piping portion.

The piping data processing unit may detect a portion of the three-dimensional shape data of the facility which is continuous in a predetermined length or more in a section of a predetermined shape and determine the portion as the piping portion.

Wherein the apparatus data processing unit is configured to divide the three-dimensional shape data in which the shape data corresponding to the pipe is removed into individual shape objects for each of the separated objects in the three-dimensional space, simplify each shape object, The model data included in the data is compared with the simplified shape object, and when the similarity degree between the simplified shape object and the model data is equal to or greater than a preset value, the simplified shape object is mapped to the device of the corresponding description data .

The apparatus data processing unit may score the plurality of vertices constituting the shape object according to a predetermined criterion and then simplify the shape object by removing a part of the vertices in descending order of the score.

The device data processing unit may include a step of dividing the shape object into a plurality of elements, scoring the elements according to a predetermined criterion, and removing a part of the elements in descending order of the score, Can be simplified.

Wherein the device data processing unit determines whether or not the element is a port to which the fluid is to be sent, assigns a first score to the element, determines whether or not the element is in contact with the outer boundary of the shape object, A second score lower than the score.

The device data processing unit determines whether or not the element is adjacent to the element discriminated by the port and whether the element is adjacent to the element discriminated to be adjacent to the outer boundary and adds a third score lower than the second score to the element It can be tied.

The device data processing unit may: calculate the volume of each element and differentially score the element according to the volume rank of each element.

The shape data combination unit may include: a determination unit configured to determine a port position of the shape data corresponding to the device based on the description data matched to the device unit, and transmit shape data corresponding to the removed pipe to a port Location.

The apparatus for generating three-dimensional facility data according to an embodiment of the present invention identifies a piping part from three-dimensional shape data generated from point cloud data corresponding to the outline of a facility, A pipe data processing unit for removing the shape data corresponding to the shape data; Dimensional shape data in which the shape data corresponding to the pipe is removed is divided into individual shape objects for each of the separated objects in the three-dimensional space, the respective shape objects are simplified, and the simplified shape objects are stored in the facility A device data processing unit for matching the description data of the device; And a shape data combining unit for combining shape data corresponding to the apparatus and shape data corresponding to the pipe to output facility layout data.

A method for generating three-dimensional facility layout data according to an embodiment of the present invention is a method for generating a three-dimensional facility layout data of the facility based on point cloud data obtained by scanning a facility, Generating three-dimensional shape data of the facility from the data; Identifying a piping portion in the three-dimensional shape data of the facility; Removing shape data corresponding to the pipe from the three-dimensional shape data of the facility; Identifying the device part in the three-dimensional shape data from which the shape data corresponding to the pipe is removed; Matching the shape data corresponding to the identified device with the description data of the device in the facility provided in advance; And combining shape data corresponding to the apparatus with shape data corresponding to the pipe.

The step of generating the three-dimensional shape data of the facility may include: generating triangular mesh shape data representing the outline of the facility from the point cloud data by the triangle mesh.

Wherein identifying the piping portion comprises: loading dimensional data of a piping installed in the facility; And a step of detecting a portion corresponding to the dimensional data from the three-dimensional shape data of the facility and determining the portion as the piping portion.

The step of identifying the piping portion may include: detecting a portion of the three-dimensional shape data of the facility, the section of a predetermined shape continuing beyond a predetermined length, and determining the portion as the piping portion.

The step of identifying the device part comprises the steps of: dividing the three-dimensional shape data from which the shape data corresponding to the pipe has been removed into individual shape objects for each of the separated objects in the three-dimensional space; Simplifying each shape object; Invoking the model data included in the description data of the equipment in the facility and comparing the model data with the simplified shape object; And associating the simplified shape object with a device of the corresponding description data when the similarity degree between the simplified shape object and the model data is equal to or greater than a predetermined value.

Wherein the step of simplifying each of the shape objects comprises the steps of: scoring a plurality of vertices constituting the shape object according to a predetermined criterion; And removing some of the vertices in descending order of the score.

Wherein the step of simplifying each shape object comprises: dividing the shape object into a plurality of elements; Scoring the elements according to a predetermined criterion; And removing some of the elements in descending order of the score.

The step of combining the shape data corresponding to the device and the shape data corresponding to the pipe includes the steps of: determining a port position of shape data corresponding to the device based on the description data matched to the device portion; And connecting the shape data corresponding to the removed pipe to the port position of the shape data corresponding to the device.

The method for generating three-dimensional facility layout data according to an embodiment of the present invention may be implemented as a computer-executable program and recorded on a computer-readable recording medium.

The method for generating three-dimensional facility layout data according to an embodiment of the present invention may be implemented by a computer program stored in a medium for execution in combination with the computer.

According to the embodiment of the present invention, time and manpower for securing 3D CAD data of a facility can be saved by generating three-dimensional arrangement data of the facility from point cloud data obtained by scanning the facility.

1 is an exemplary block diagram of an apparatus for generating three-dimensional facility data according to an embodiment of the present invention.
FIG. 2 is an exemplary illustration of point cloud data obtained according to an embodiment of the present invention.
FIG. 3 is a diagram showing a part of triangular network data generated from point cloud data according to an embodiment of the present invention.
FIGS. 4 and 5 are illustrative drawings for explaining a process of identifying pipes in three-dimensional shape data of a facility according to an embodiment of the present invention.
6 is an exemplary diagram for explaining a process of identifying a pipe in the three-dimensional shape data of the facility according to another embodiment of the present invention.
7 is an exemplary diagram for explaining a process of identifying a device in three-dimensional shape data of a facility from which shape data corresponding to a pipe is removed according to an embodiment of the present invention.
8-10 are illustrative drawings for illustrating a process of simplifying a shape object according to an embodiment of the present invention.
Fig. 11 is an exemplary diagram showing how the shape objects shown in Figs. 8 to 10 are simplified according to the accuracy. Fig.
12 is an exemplary diagram illustrating a process of combining shape data corresponding to a device and shape data corresponding to a pipe according to an embodiment of the present invention.
13 is an exemplary flowchart of a method for generating three-dimensional facility layout data according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings attached hereto.

1 is an exemplary block diagram of a three-dimensional facility layout data generation apparatus 10 according to an embodiment of the present invention.

1, the three-dimensional facility layout data generation apparatus 10 includes a shape data generation unit 111, a piping data processing unit 112, a device data processing unit 113, and a shape data combining unit 114 .

The shape data generation unit 111 can generate three-dimensional shape data from the point cloud data obtained by scanning the facility. The piping data processing unit 112 may identify the piping part in the three-dimensional shape data of the facility, and then remove the shape data corresponding to the piping from the three-dimensional shape data of the facility. The device data processing unit 113 may identify the device part in the three-dimensional shape data from which the shape data corresponding to the pipe is removed, and match the identified device part to the description data of the in-facility device provided in advance. The shape data combining unit 114 may combine the shape data corresponding to the device with the shape data corresponding to the pipe to output the facility arrangement data.

The shape data generation unit 111, the piping data processing unit 112, the device data processing unit 113 and the shape data combination unit 114 execute a program for generating three-dimensional facility layout data, A processor 110 capable of generating three-dimensional facility layout data, and may include, for example, a CPU and a GPU.

In addition, a program for generating three-dimensional facility layout data according to an embodiment of the present invention may be stored in a storage unit 120 connected to the processor 110, The program can be called up and executed. In addition, the storage unit 120 stores various data necessary for generating three-dimensional facility layout data according to an embodiment of the present invention and provides the stored data to the processor 110. [

The three-dimensional facility layout data generation apparatus 10 according to the embodiment of the present invention receives the point cloud data of a facility for which three-dimensional layout data is to be generated, and generates three-dimensional layout data of the facility. The point cloud data can be obtained by three-dimensional scanning of the facility, for example, three-dimensional coordinate information on a plurality of points on the surface of the facility can be obtained by processing a returned optical signal by projecting a laser to the facility.

FIG. 2 is an exemplary illustration of point cloud data obtained according to an embodiment of the present invention.

As shown in Fig. 2, the point cloud data is a set of a plurality of points located on the surface of the facility, each point having three-dimensional coordinates in a predetermined coordinate system. The three-dimensional coordinate may be a rectangular coordinate composed of an x-axis coordinate, a y-axis coordinate, and a z-axis coordinate, but is not limited thereto.

In addition, the point cloud data of the facility may be obtained by scanning white light as well as a laser in the facility, or may be obtained by using other measuring means such as sound waves in addition to light according to an embodiment.

The shape data generation unit 111 generates three-dimensional shape data from the point cloud data obtained by scanning the facility. According to an embodiment of the present invention, the shape data generation unit 111 may generate triangular mesh shape data representing the external shape of the facility as a triangle mesh from the point cloud data.

FIG. 3 is a diagram showing a part of triangular network data generated from point cloud data according to an embodiment of the present invention.

3, the shape data generator 111 may generate triangular mesh data from the point cloud data of the facility. The triangular mesh data may be obtained by converting the shape of the facility into a triangular mesh .

According to one embodiment, the shape data generation unit 111 may generate the triangle mesh shape data by connecting each point included in the point cloud data of the facility with a straight line. In other words, the shape data generation unit 111 can generate triangular mesh data corresponding to the point cloud data by connecting adjacent points included in the point cloud data in a straight line, but generates triangular mesh data from the point cloud data The method is not limited thereto.

In addition, according to the embodiment, the shape data generation unit 111 may generate other types of three-dimensional shape data such as boundary representation shape data in addition to the triangular mesh shape data. As long as the three-dimensional shape data of the facility is obtained from the point cloud data, the type of the shape data is not limited.

Then, the piping data processing unit 112 identifies the piping part in the three-dimensional shape data of the facility generated by the shape data generation unit 111.

As described above, facilities such as plants and offshore structures are organically coupled to machinery for processing or controlling fluids and piping facilities for supplying fluids to the machines.

Accordingly, the present invention identifies a shape related to a pipe first in the three-dimensional shape data obtained from the facility's point cloud data, then removes the identified pipe portion from the three-dimensional shape data of the facility, Identify the shape.

According to one embodiment of the present invention, the piping data processing unit 112 retrieves the dimensional data of the piping disposed in the facility, detects a portion corresponding to the dimensional data from the three-dimensional shape data of the facility, .

Dimension data of the piping disposed in the facility may be stored in the storage unit 120 as a library of equipment materials. The piping data processing unit 112 loads the dimension data from the storage unit 120, The shape of the pipe can be identified in the three-dimensional shape data. According to the embodiment, the data on the dimension of the pipe may be input to the 3D facility arrangement data generation apparatus 10 together with the point cloud data instead of being stored in the storage unit 120 in advance.

FIGS. 4 and 5 are illustrative drawings for explaining a process of identifying pipes in three-dimensional shape data of a facility according to an embodiment of the present invention.

In general, piping is used as a passage through which a fluid flows, so that the shape of the piping is simple compared to other mechanical devices. For example, a pipe having a hollow cylindrical shape can be specified on the surface by the outer diameter and the length.

4, the piping data processing unit 112 reads the dimensional data of the piping installed in the facility, for example, the outside diameter D and the length L of the piping, It is possible to identify the pipe by detecting the cylindrical shape corresponding to the pipe shape.

According to the embodiment, even in the case of a pipe bent at a predetermined angle other than a cylindrical pipe as shown in Fig. 5, the dimensional data is not limited to the outer diameter D of the pipe and the lengths (L 1 and L 2 ) If the angle of inclination (θ) is also included, each diverted pipe can be identified by using the corresponding dimensional data.

6 is an exemplary diagram for explaining a process of identifying a pipe in the three-dimensional shape data of the facility according to another embodiment of the present invention.

According to another embodiment of the present invention, in addition to the embodiment in which the piping shape is identified on the basis of the dimensional data of the piping in the facility, the piping data processing unit 112 calculates In this way, it is also possible to detect a continuous part and determine it as a piping part.

For example, instead of identifying the pipe shape on the basis of the outside diameter D and the length L of the pipe as described above, instead of identifying the pipe shape based on the circular cross section A in one part of the three- If it is continued beyond this preset length, the relevant part may be determined by piping. In FIG. 6, the cross section of the pipe is shown as being circular, but a pipe having a rectangular cross section according to the embodiment can also be detected by the same method.

As described above, in the embodiment of the present invention, the shape corresponding to the pipe can be first identified from the three-dimensional shape data of the facility obtained from the point cloud data, and then the shape corresponding to the device can be identified as described below.

Further, the piping data processing unit 112 can remove the identified piping part from the three-dimensional shape data of the facility by identifying the piping part from the three-dimensional shape data of the facility. The subsequent identification of the part of the device is performed on the shape data from which the pipe part has been removed.

The device data processing unit 113 identifies the device part in the three-dimensional shape data from which the piping part is removed, and matches the device part with the description data of the device in the premises provided beforehand.

According to one embodiment of the present invention, the device data processing unit 113 can divide the three-dimensional shape data from which the shape data corresponding to the pipe is removed into individual shape objects for each of the separated objects in the three-dimensional space. Thereafter, the device data processing unit 113 may simplify each shape object, and compare the simplified shape object with the model data contained in the description data of the in-facility device. As a result, if the similarity degree between the simplified shape object and the model data is equal to or greater than a preset value, the device data processing unit 113 can associate the simplified shape object with the appliance of the corresponding description data.

7 is an exemplary diagram for explaining a process of identifying a device in three-dimensional shape data of a facility from which shape data corresponding to the pipes P1 to P5 have been removed according to an embodiment of the present invention.

7, when the piping parts P1 to P5 are identified by the piping data processing part 112 in the three-dimensional shape data of the facility, the piping parts P1 to P5 are stored in the three- . As a result, the remaining three-dimensional shape data is composed of a plurality of objects separated from each other in the three-dimensional space.

The device data processor 113 divides the object into individual shape objects D1 to D3 for each object separated in the three-dimensional space, and then performs a simplification operation on each shape object. In Fig. 7, the shape objects D1 to D3 are shown as a hexahedron for convenience of explanation, but they are actually three-dimensional objects of a more complex shape obtained from the point cloud data.

8-10 are illustrative drawings for illustrating a process of simplifying a shape object 20 according to an embodiment of the present invention.

The following description of the shape object simplification according to the embodiment of the present invention is based on a three-dimensional model of the control valve 20 for controlling the flow of the fluid by adjusting the opening degree of the valve.

According to an embodiment of the present invention, the device data processor 113 divides the shape object 20 into a plurality of elements, scales the elements according to a predetermined criterion, It is possible to simplify the shape object 20 by removing some of the elements in order.

In this case, the device data processing unit 113 may determine whether the element is a port for exchanging fluid, and may assign a first score to the element. The device data processing unit 113 may determine whether the element is in contact with the outer boundary of the shape object 20 and may assign a second score lower than the first score to the element.

For example, referring to FIG. 8, the shape object 20 of the control valve has a total of two ports 201 and 202, and the ports 201 and 202 have a first score, For example, two points.

9, the device data processing unit 113 obtains the outer boundary 250 of the shape object 20 and obtains the outer shape of the elements 201, 202, 203, 204, 205 ) Can be determined. As shown in FIG. 9, the outer boundary 250 may be a rectangular parallelepiped having a minimum volume surrounding the assembly, but the outer boundary may be a three-dimensional shape having an arbitrary shape according to the assembly. Then, the device data processing unit 113 may assign a second score, for example, one point to the elements 201, 202, 203, 204, and 205 determined to be in contact with the outer boundary 250, respectively.

In this manner, the device data processing unit 113 can score each element by applying evaluation items to which the scores are differentially assigned to the elements of the shape object 20.

Further, the device data processing unit 113 determines whether the element is adjacent to the element identified by the port, and whether the element is adjacent to the element determined to be in contact with the outer boundary 250, A third score lower than the score.

10, an element first adjacent (element abutting) to an element 201, 202 identified as a port is an element 208, and a second adjacent element (an element abutting on a first adjacent element) Element 209, respectively. It is also contemplated that elements that are firstly adjacent to elements 201, 202, 203, 204, 205 that are in contact with the outer boundary 250 are elements 208, 210, 211, 214 and that second adjacent elements are elements 209, 212, 213, 206).

The device data processing unit 113 may assign a third score lower than the second score to the first neighboring elements. According to the embodiment, the device data processing unit 113 may assign a fourth score lower than the third score to the second adjacent elements. In one example, the third and fourth scores may be 2/3 and 1/3, respectively.

Further, the device data processing unit 113 may calculate the volume of each element constituting the shape object 20, and may score the elements differently according to the volume order of the respective elements.

For example, the device data processing unit 113 scores each element of the ratio of the volume rank of the element to the total number of elements of the shape object 20 (i.e., the volume rank of the element / the total number of elements) . As a result, the score given according to the volume ranking can be set lower than one.

According to one embodiment, predetermined weights may be applied to scores scored according to the volume rank, scores scored for elements adjacent to the port, and scoring for elements adjacent to the outer boundary element, and the sum of these weights Lt; RTI ID = 0.0 > 1 < / RTI &

For example, the weights applied to the scores assigned to the volume rankings may be set to 0.4, the remaining two weights may be set to 0.3 (0.4 + 0.3 + 0.3 = 1) Can be changed.

The device data processing unit 113 can remove elements from the shape object 20 in descending order of the score according to the target precision of the shape object 20. [

According to this embodiment, the target precision can be set to the precision of the model data provided in the description data of the equipment in the facility. To this end, the device data processing unit 113 obtains the model data of the device and the precision thereof from the description data of the in-facility device, and removes the elements from the shape object 20 in descending order of the score, The shape object 20 can be simplified to a precision level corresponding to the model data of the device.

Fig. 11 is an exemplary diagram showing a shape object 20 shown in Figs. 8 to 10 is simplified according to the level of detail (LOD).

11, when the shape object 20 has a total of 141 elements when the LOD is 100%, when the LOD is 60%, 57 elements corresponding to the lower 40% 20. And, if the LOD is lowered to 40%, the 28 elements that correspond to the lower 20% points of the score are further removed.

If 40% of the LOD is input to the descriptive data such as a catalog of the device (i.e., the control valve) corresponding to the shape object 20 together with the shape model of the device, the device data processing unit 113 The shape object 20 can be simplified to a level of 40%, which is the LOD of the shape model.

Through the above-described process, the device data processing unit 113 can simplify each shape object 20 from the remaining three-dimensional shape data by removing the pipe portion.

Then, the device data processing unit 113 retrieves the model data included in the descriptive data of the in-facility device and compares the simplified shape object 20 with the simplified shape object 20, The similarity of the liver can be calculated. The degree of similarity can be quantitatively calculated through a shape comparison between the simplified shape object 20 and model data.

When the degree of similarity is equal to or greater than a predetermined value, the device data processing unit 113 identifies the device part in the three-dimensional shape data of the facility by mapping the simplified shape object to the device of the corresponding description data, .

According to one embodiment, the description data of the device includes specifications of equipment installed in the facility, production information, shape model, and the like, and may include, for example, a catalog of the device. The catalog of such devices may be provided as a library of equipment and stored in the storage unit 120 and may be input to the 3D facility arrangement data generation apparatus 10 together with the point cloud data of the facility according to the embodiment.

Unlike the above, the device data processing unit 113 scales the shape object 20 composed of triangles according to a predetermined criterion on a plurality of vertices, and then, in a descending order of the scores, It is possible to simplify the shape object 20 by removing a part thereof. That is, the device data processing unit 113 may remove the vertices instead of removing the elements to simplify the shape object 20. [

When the device identification and description data matching by the device data processing unit 113 is completed, the shape data combination unit 114 may combine the shape data corresponding to the device with the shape data corresponding to the pipe to complete the facility placement data have.

According to the embodiment of the present invention, the shape data combining unit 114 determines the position of the port among the shape data corresponding to the device based on the description data matched to the device part, and transmits the shape data corresponding to the pipe to the device To the port position of the shape data corresponding to the shape data.

That is, according to this embodiment, the shape data combination unit 114 may combine the pipe partial shape data identified by the pipe data processing unit 112 and the device partial shape data identified by the device data processing unit 113 , It is possible to determine the position of the port to which the piping is connected by referring to explanatory data such as a catalog matched to the device.

Further, when connecting the piping part shape data and the device part shape data, a P & ID (Piping & Instrument Diagram) showing a two-dimensional connection relationship between the piping and the devices in the facility may be referred to in addition to the description data of the device .

12 is an exemplary diagram illustrating a process of combining shape data D3 corresponding to a device and shape data corresponding to pipes P4 and P5 according to an embodiment of the present invention.

12, the shape data P4 and P5 of the pipe identified by the piping data processing unit 112 and the shape data D3 of the equipment identified by the device data processing unit 113 correspond to the shape data And can be combined with the coupling part 114 to produce three-dimensional placement data of the piping and the equipment in the facility.

In this process, the shape data combining unit 114 can detect the port position of the device from the description data of the corresponding device matched with the shape data D3 of the device. The shape data combination unit 114 connects the shape data P4 and P5 of the pipe adjacent to the device to the detected port position and the shape data D3 of the device .

At this time, the shape data combining unit 114 uses the P & ID, which is a two-dimensional drawing showing the connection relationship between the piping and the apparatus in the facility, as well as the descriptive data of the apparatus, (D3).

Through the above-described process, the three-dimensional facility layout data generation apparatus 10 according to the embodiment of the present invention can generate three-dimensional facility layout data indicating the layout of piping and equipment in the facility.

13 is an exemplary flowchart of a method 30 for generating three-dimensional facility layout data according to an embodiment of the present invention.

The three-dimensional facility layout data generation method 30 may be performed by the three-dimensional facility layout data generation apparatus 10 according to the embodiment of the present invention described above. The three-dimensional facility layout data generation apparatus 10 can generate the three-dimensional facility layout data from the point cloud data of the facility through the above-described process by loading and executing the program recorded on the recording medium.

Referring to FIG. 13, the method for generating three-dimensional facility layout data 30 includes the steps of generating (S310) three-dimensional shape data of a facility from point cloud data, identifying a piping portion from three- S320), removing the shape data corresponding to the pipe from the three-dimensional shape data of the facility (S330), identifying (S340) the device part in the three-dimensional shape data from which the shape data corresponding to the pipe is removed (S350) of matching the shape data corresponding to the device with the description data of the device in the premises provided in advance, and combining the shape data corresponding to the device and the shape data corresponding to the pipe (S360) .

According to one embodiment, the step S310 of generating the three-dimensional shape data of the facility may include the step of generating triangular mesh shape data representing the outline of the facility from the point cloud data by a triangle mesh.

According to one embodiment, the step of identifying the piping section (S320) includes the steps of loading dimensional data of the piping installed in the facility, and detecting the portion corresponding to the dimensional data from the three-dimensional shape data of the facility, And a step of determining the number

According to another embodiment, the step of identifying the piping part (S320) includes a step of detecting a portion of the three-dimensional shape data of the facility which is continuous at a predetermined length or more in a section of a predetermined shape, can do.

According to an embodiment, the step of identifying the device part (S340) includes the steps of: dividing the three-dimensional shape data from which the shape data corresponding to the pipe is removed into individual shape objects for each of the separated objects in the three-dimensional space; (20), comparing the simplified shape object (20) with the model data contained in the description data of the in-facility device, and comparing the simplified shape object (20) with the model data And associating the simplified shape object 20 with a device of the corresponding description data when the similarity is greater than or equal to a predetermined value.

According to one embodiment, the step of simplifying each of the shape objects comprises the steps of scoreing a plurality of vertices constituting the shape object 20 according to a predetermined criterion, And removing some of them.

According to another embodiment, the step of simplifying each of the shape objects comprises the steps of dividing the shape object 20 into a plurality of elements, scoring the elements according to a predetermined criterion, And removing some of the elements in descending order of the score.

According to one embodiment, the step of combining the shape data corresponding to the device and the shape data corresponding to the pipe includes the steps of: determining a port position of shape data corresponding to the device based on explanatory data matched to the device portion; And connecting the shape data corresponding to the pipe to the port position of the shape data corresponding to the device.

The method for generating the three-dimensional facility layout data may be a program for being executed by a computer and stored in a computer-readable recording medium. The computer-readable recording medium includes all kinds of storage devices in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like. Also, the method for generating the three-dimensional facility layout data may be implemented as a computer program stored in the medium for execution in combination with the computer.

While the present invention has been described with reference to the exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. Those skilled in the art will appreciate that various modifications may be made to the embodiments described above. The scope of the present invention is defined only by the interpretation of the appended claims.

10: 3D facility layout data generation device
110: Processor
111:
112: piping data processing section
113: Device data processing section
114: shape data combining unit
120:

Claims (23)

A shape data generation unit for generating three-dimensional shape data from point cloud data obtained by scanning the facility;
A piping data processing unit for identifying a piping part from the three-dimensional shape data of the facility and removing shape data corresponding to the piping from the three-dimensional shape data of the facility;
A device data processing unit for identifying the device part in the three-dimensional shape data from which the shape data corresponding to the pipe is removed and matching the description data of the device in the facility provided in advance; And
And a shape data combining unit for combining the shape data corresponding to the device and the shape data corresponding to the pipe to output the facility arrangement data,
Wherein the device data processing unit comprises:
Dimensional shape data in which the shape data corresponding to the pipe is removed is divided into individual shape objects for each of the separated objects in the three-dimensional space, the respective shape objects are simplified, and the model data And comparing the simplified shape object with the device of the corresponding description data when the similarity degree between the simplified shape object and the model data is equal to or greater than a predetermined value,
A step of dividing the shape object into a plurality of elements, scoring according to a predetermined criterion on the elements, and extracting a part of the elements from the shape object in descending order of the score according to a target precision of the shape object Thereby simplifying the shape object,
And acquiring the model data of the device and the accuracy of the model data from the descriptive data of the device in the facility and setting the obtained precision to the target precision.
The method according to claim 1,
Wherein the shape data generator comprises:
And generating triangular mesh shape data representing the external shape of the facility as a triangle mesh from the point cloud data.
3. The method of claim 2,
Wherein the shape data generator comprises:
And generates the triangle mesh shape data by connecting adjacent points included in the point cloud data by a straight line.
The method according to claim 1,
The piping data processing unit includes:
Dimensional structure data of the facility is read out and the portion corresponding to the dimensional data is detected and determined as the piping portion after the dimensional data of the piping installed in the facility is retrieved.
The method according to claim 1,
The piping data processing unit includes:
And a part of the three-dimensional shape data of the facility is continuous in a predetermined length or more in a section of a predetermined shape, and determines the part as the piping part.
delete delete delete The method according to claim 1,
Wherein the device data processing unit comprises:
It is determined whether or not the element is a port for sending and receiving fluid, a first score is given to the element,
And determines a second score lower than the first score for the element by determining whether the element is in contact with the outer boundary of the shape object.
10. The method of claim 9,
Wherein the device data processing unit comprises:
A three-dimensional facility arrangement for determining whether an element is adjacent to an element discriminated by the port and whether the element is adjacent to an element discriminated to be tangent to the outer boundary, and assigning a third score lower than the second score to the element Data generating device.
11. The method of claim 10,
Wherein the device data processing unit comprises:
Calculating a volume of each element, and differentially scoring the element according to the volume rank of each element.
The method according to claim 1,
Wherein the shape data combining unit comprises:
A port position of the shape data corresponding to the device is determined based on explanatory data matched to the device portion, and a shape data corresponding to the removed pipe is connected to a port position of the shape data corresponding to the device Facility placement data generation device.
A piping data processing unit for identifying the piping part from the three-dimensional shape data generated from the point cloud data corresponding to the outline of the facility and removing the shape data corresponding to the piping from the three-dimensional shape data of the facility;
Dimensional shape data in which the shape data corresponding to the pipe is removed is divided into individual shape objects for each of the separated objects in the three-dimensional space, the respective shape objects are simplified, and the simplified shape objects are stored in the facility A device data processing unit for matching the description data of the device; And
And a shape data combining unit for combining the shape data corresponding to the device and the shape data corresponding to the pipe to output the facility arrangement data,
Wherein the device data processing unit comprises:
The model data included in the description data of the in-facility device is retrieved and compared with the simplified shape object, and when the similarity degree between the simplified shape object and the model data is equal to or greater than a preset value, Data corresponding to the device,
A step of dividing the shape object into a plurality of elements, scoring according to a predetermined criterion on the elements, and extracting a part of the elements from the shape object in descending order of the score according to a target precision of the shape object Thereby simplifying the shape object,
And acquiring the model data of the device and the accuracy of the model data from the descriptive data of the device in the facility and setting the obtained precision to the target precision.
A method for generating three-dimensional facility layout data of a facility by a three-dimensional facility layout data generation apparatus based on point cloud data obtained by scanning a facility,
Generating three-dimensional shape data of the facility from the point cloud data;
Identifying a piping portion in the three-dimensional shape data of the facility;
Removing shape data corresponding to the pipe from the three-dimensional shape data of the facility;
Identifying the device part in the three-dimensional shape data from which the shape data corresponding to the pipe is removed;
Matching the shape data corresponding to the identified device with the description data of the device in the facility provided in advance; And
And combining the shape data corresponding to the device and the shape data corresponding to the pipe,
Wherein identifying the device portion comprises:
Dividing the three-dimensional shape data in which the shape data corresponding to the pipe is removed into individual shape objects for each of the separated objects in the three-dimensional space;
Simplifying each shape object;
Invoking the model data included in the description data of the equipment in the facility and comparing the model data with the simplified shape object; And
And associating the simplified shape object with a device of the corresponding description data when the similarity degree between the simplified shape object and the model data is equal to or greater than a predetermined value,
Wherein the step of simplifying each of the shape objects comprises:
Dividing the shape object into a plurality of elements;
Scoring the elements according to a predetermined criterion; And
And removing some of the elements in descending order of the score from the shape object according to a target precision of the shape object,
Wherein identifying the device portion comprises:
Obtaining the model data of the device and the precision of the model data from the description data of the device in the facility; And
And setting the obtained precision to the target precision.
15. The method of claim 14,
The step of generating three-dimensional shape data of the facility comprises:
Generating three-dimensional facility layout data from the point cloud data by generating triangular network data representing the exterior of the facility as a triangle network.
15. The method of claim 14,
Wherein identifying the piping portion comprises:
Loading dimension data of a pipe installed in the facility; And
Detecting a portion corresponding to the dimensional data among the three-dimensional shape data of the facility and determining the portion as the piping portion;
Dimensional facility layout data.
15. The method of claim 14,
Wherein identifying the piping portion comprises:
Detecting a part of the three-dimensional shape data of the facility which is continuous in a predetermined length or more in a section of a predetermined shape, and determining the part as the piping part.
delete delete delete 15. The method of claim 14,
The step of combining the shape data corresponding to the apparatus and the shape data corresponding to the pipe includes the steps of:
Determining a port position of shape data corresponding to the device based on explanatory data matched to the device portion; And
Connecting the shape data corresponding to the removed pipe to a port position of shape data corresponding to the device;
Dimensional facility layout data.
A computer-readable recording medium,
A computer-readable recording medium storing a program for executing a three-dimensional facility layout data generation method according to any one of claims 14 to 17 and 21.
A computer program stored in a medium for executing a method of generating a three-dimensional facility layout data according to any one of claims 14 to 17 and 21, in combination with a computer.
KR1020150044481A 2015-03-30 2015-03-30 Apparatus and method for generating 3d facility layout data from point-cloud data KR101665446B1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
KR1020150044481A KR101665446B1 (en) 2015-03-30 2015-03-30 Apparatus and method for generating 3d facility layout data from point-cloud data
PCT/KR2016/002970 WO2016159566A1 (en) 2015-03-30 2016-03-24 Apparatus and method for generating three-dimensional facility layout data from point cloud data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020150044481A KR101665446B1 (en) 2015-03-30 2015-03-30 Apparatus and method for generating 3d facility layout data from point-cloud data

Publications (2)

Publication Number Publication Date
KR20160117704A KR20160117704A (en) 2016-10-11
KR101665446B1 true KR101665446B1 (en) 2016-10-13

Family

ID=57004442

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020150044481A KR101665446B1 (en) 2015-03-30 2015-03-30 Apparatus and method for generating 3d facility layout data from point-cloud data

Country Status (2)

Country Link
KR (1) KR101665446B1 (en)
WO (1) WO2016159566A1 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101989700B1 (en) * 2017-12-07 2019-06-14 경북대학교 산학협력단 3d modeling apparatus and method for modeling fitting based on point-cloud data obtained by 3d scanning
US20190266793A1 (en) * 2018-02-23 2019-08-29 Lowe's Companies, Inc. Apparatus, systems, and methods for tagging building features in a 3d space
KR102042343B1 (en) * 2018-04-13 2019-11-07 경북대학교 산학협력단 Apparatus and method for genaration of depth image based on point-cloud data obtained by 3d scanning and method for identifing 3d object using the same
KR102010500B1 (en) * 2018-12-31 2019-08-13 주식회사 태울코리아 Method and apparatus for hooking up pipes on based three-dimensional modeling
KR102453427B1 (en) * 2020-11-03 2022-10-12 아이씨티웨이주식회사 Image processing device for 3d underground facility processing

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013088999A (en) * 2011-10-18 2013-05-13 Aero Asahi Corp Building extraction device, method, and program
KR101388749B1 (en) * 2013-10-25 2014-04-29 중앙대학교 산학협력단 System and method for 3d reconstruction of as-built industrial model from 3d data
KR101493659B1 (en) * 2014-11-18 2015-02-16 중앙대학교 산학협력단 Method and apparatus for modeling pipe using 3 dimensional scanning data

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101423392B1 (en) * 2012-10-12 2014-07-28 경북대학교 산학협력단 3D CAD simplification method of equipment and materials of ship outfitting and offshore plants

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013088999A (en) * 2011-10-18 2013-05-13 Aero Asahi Corp Building extraction device, method, and program
KR101388749B1 (en) * 2013-10-25 2014-04-29 중앙대학교 산학협력단 System and method for 3d reconstruction of as-built industrial model from 3d data
KR101493659B1 (en) * 2014-11-18 2015-02-16 중앙대학교 산학협력단 Method and apparatus for modeling pipe using 3 dimensional scanning data

Also Published As

Publication number Publication date
KR20160117704A (en) 2016-10-11
WO2016159566A1 (en) 2016-10-06

Similar Documents

Publication Publication Date Title
KR101665446B1 (en) Apparatus and method for generating 3d facility layout data from point-cloud data
Lee et al. Skeleton-based 3D reconstruction of as-built pipelines from laser-scan data
JP6405320B2 (en) Method and system for improved automated visual inspection of physical assets
RU2603978C1 (en) Creation of formation power grid to determine estimates of margins for formation
CN109359351A (en) A kind of pipeline three-dimensional modeling method and pipe design method
KR101388749B1 (en) System and method for 3d reconstruction of as-built industrial model from 3d data
JP5782175B2 (en) Model management of computer aided design system.
MX2010013221A (en) Distribution of properties in a 3d volumetric model using a maximum continuity field.
KR102142768B1 (en) Method and apparatus for inspecting error of underground facilities maps
CN113366397A (en) Method for searching for consistent records of pipelines in planning system, planning system and control program
US20190042672A1 (en) Pressure loss determination device, computer readable medium, and pressure loss determination method
KR101423392B1 (en) 3D CAD simplification method of equipment and materials of ship outfitting and offshore plants
KR102042343B1 (en) Apparatus and method for genaration of depth image based on point-cloud data obtained by 3d scanning and method for identifing 3d object using the same
KR102404029B1 (en) 3D view automatic generating device and method for pipe MC inspection
CN110580738A (en) Method for generating an enhanced plant model
JP2018132993A (en) Building design information correction assisting device, building design information correction assisting method, and program
JP6280425B2 (en) Image processing apparatus, image processing system, three-dimensional measuring instrument, image processing method, and image processing program
JP6854248B2 (en) Boundary search test support device and boundary search test support method
CN108137128B (en) For determining the method and system of connecting element manufacture size
KR101808958B1 (en) Method for obtaining shape information of structure and method for measuring deformation of structure
KR101364375B1 (en) System and method for extracting a specific object from 3d data
KR101419334B1 (en) Apparatus for extracting object from 3D data and method of the same
KR101595303B1 (en) Apparatus and method for simplifying model preserving connectivity
JP2010152863A (en) System and method for extracting boundary node, and program
US20220398371A1 (en) Machine learning based automatic routing method and apparatus for semiconductor equipment

Legal Events

Date Code Title Description
E701 Decision to grant or registration of patent right
GRNT Written decision to grant
FPAY Annual fee payment

Payment date: 20190917

Year of fee payment: 4