WO2023199575A1 - モデル生成装置、モデル生成システム、モデル生成方法及びプログラム - Google Patents

モデル生成装置、モデル生成システム、モデル生成方法及びプログラム Download PDF

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WO2023199575A1
WO2023199575A1 PCT/JP2023/003426 JP2023003426W WO2023199575A1 WO 2023199575 A1 WO2023199575 A1 WO 2023199575A1 JP 2023003426 W JP2023003426 W JP 2023003426W WO 2023199575 A1 WO2023199575 A1 WO 2023199575A1
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Prior art keywords
dimensional model
dimensional
model
dimensions
model generation
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English (en)
French (fr)
Japanese (ja)
Inventor
俊介 水見
創一朗 田畑
光司 石橋
忠志 ▲高▼橋
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Mitsubishi Heavy Industries Ltd
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Mitsubishi Heavy Industries Ltd
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Priority to US18/685,611 priority Critical patent/US12597204B2/en
Priority to DE112023000187.1T priority patent/DE112023000187T5/de
Priority to CN202380013357.0A priority patent/CN117916738A/zh
Priority to JP2024514811A priority patent/JP7672576B2/ja
Priority to KR1020247005838A priority patent/KR20240038753A/ko
Publication of WO2023199575A1 publication Critical patent/WO2023199575A1/ja
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three-dimensional [3D] modelling for computer graphics
    • G06T17/30—Polynomial surface description
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three-dimensional [3D] modelling for computer graphics
    • G06T17/10—Constructive solid geometry [CSG] using solid primitives, e.g. cylinders, cubes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/20—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring contours or curvatures, e.g. determining profile
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/12—Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three-dimensional [3D] modelling for computer graphics
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes

Definitions

  • the present invention relates to a model generation device, a model generation system, a model generation method, and a program.
  • This disclosure claims priority based on Japanese Patent Application No. 2022-065661 filed in Japan on April 12, 2022, the contents of which are incorporated herein by reference.
  • Patent Document 1 discloses that the entire shape of an object is measured using a non-contact measurement means such as a laser, and the three-dimensional shape of the object is converted into a cylinder based on the data obtained from the measurement. , a technique for creating composite shape data expressed by a combination of curved surfaces, planes, etc., and creating CAD data from the composite shape data is disclosed.
  • the present disclosure provides a model generation device, a model generation system, a model generation method, and a program that can solve the above problems.
  • a model generation device includes: an acquisition unit that acquires measurement data of a three-dimensional shape of a target; a simple three-dimensional model generation unit that generates a three-dimensional model based on the measurement data; a dimension measuring unit that measures dimensions or position information of a predetermined part of the object based on the three-dimensional model; and setting the measured dimensions or position information in a template of a parametric three-dimensional model of the object. , a model generation unit that generates a parametric three-dimensional model of the object.
  • a model generation system includes a measurement device that measures a three-dimensional shape of a target object, and the model generation device described above.
  • a model generation method includes the steps of: acquiring measurement data of a three-dimensional shape of a target; generating a three-dimensional model based on the measurement data; and generating a three-dimensional model based on the three-dimensional model. a step of measuring dimensions or position information of a predetermined part of the object; setting the measured dimensions or position information in a template of a parametric three-dimensional model of the object; generating a model.
  • a program causes a computer to acquire measurement data of a three-dimensional shape of a target object, to generate a three-dimensional model based on the measurement data, and to generate a three-dimensional model based on the measurement data.
  • model generation device model generation system, model generation method, and program, a three-dimensional model of an object can be generated in a short time.
  • FIG. 1 is a block diagram illustrating an example of a model generation system according to an embodiment of the present disclosure.
  • FIG. 2 is a diagram showing an example of a three-dimensional model based on drawing information of a target object.
  • FIG. 3 is a diagram illustrating an example of a process for measuring the shape of an object according to an embodiment of the present disclosure.
  • FIG. 2 is a schematic diagram of a simple three-dimensional model generation process according to an embodiment of the present disclosure.
  • FIG. 3 is a first diagram illustrating dimension measurement processing according to an embodiment of the present disclosure.
  • FIG. 7 is a second diagram illustrating dimension measurement processing according to an embodiment of the present disclosure.
  • FIG. 7 is a third diagram illustrating dimension measurement processing according to an embodiment of the present disclosure.
  • FIG. 1 is a block diagram illustrating an example of a model generation system according to an embodiment of the present disclosure.
  • FIG. 2 is a diagram showing an example of a three-dimensional model based on drawing information of a target object.
  • FIG. 7 is a fourth diagram illustrating dimension measurement processing according to an embodiment of the present disclosure.
  • FIG. 5 is a fifth diagram illustrating dimension measurement processing according to an embodiment of the present disclosure.
  • FIG. 2 is a first diagram illustrating a process for measuring dimensions of a diffuser according to an embodiment of the present disclosure.
  • FIG. 7 is a second diagram illustrating a process for measuring dimensions of a diffuser according to an embodiment of the present disclosure.
  • FIG. 7 is a third diagram illustrating a process for measuring dimensions of a diffuser according to an embodiment of the present disclosure.
  • FIG. 7 is a fourth diagram illustrating a process for measuring dimensions of a diffuser according to an embodiment of the present disclosure.
  • FIG. 5 is a fifth diagram illustrating a process for measuring dimensions of a diffuser according to an embodiment of the present disclosure.
  • FIG. 7 is a sixth diagram illustrating a process for measuring dimensions of a diffuser according to an embodiment of the present disclosure.
  • FIG. 3 is a diagram illustrating setting dimensions on a template according to an embodiment of the present disclosure. 3 is a flowchart illustrating an example of model generation processing according to an embodiment of the present disclosure.
  • FIG. 1 is a diagram illustrating an example of a hardware configuration of a model generation device in an embodiment of the present disclosure.
  • FIG. 1 is a block diagram illustrating an example of a model generation system according to an embodiment of the present disclosure.
  • the model generation system 100 includes a measurement device 10, a model generation device 20, and a display device 30.
  • the model generation system 100 generates a three-dimensional model of an object without drawing information in a short time.
  • the target object is not particularly limited, and three-dimensional models can be generated for various large machines and equipment such as turbines and boilers.
  • the target object is a casing of a steam turbine will be explained.
  • FIG. 2 shows an example of a three-dimensional model 200 based on CAD (computer-aided design) data (drawing information) of a steam turbine casing.
  • CAD computer-aided design
  • a space surrounded by a plane or a cylindrical surface is provided inside the vehicle compartment, and various structures such as piping are provided in this space.
  • the interior and exterior shapes of the passenger compartment are complex shapes expressed by combinations of circles, ellipses, rectangular planes, cylinders, etc., and without drawing information, CAD data as shown in Figure 2 is required.
  • CAD data as shown in Figure 2 is required.
  • a template of a three-dimensional model of the cabin shape is created in advance using the function of parametric CAD, and by applying the dimensions of the actual cabin to this template, A parametric CAD model is generated, and performance etc. are analyzed using this parametric CAD model.
  • the internal shape of the vehicle interior is measured by the measuring device 10, and a simple three-dimensional model is temporarily generated based on the measurement results. Then, necessary dimensions are measured based on the generated simple three-dimensional model. This significantly reduces the measurement time using actual equipment and enables 3D model generation in a short period of time.
  • the measuring device 10 is a non-contact sensor that measures the shape of an object.
  • the measurement device 10 is an imaging device such as a camera that takes moving images or still images, or a three-dimensional range finder such as a laser scanner or LiDAR.
  • the measuring device 10 measures the internal and external three-dimensional shape of an object to generate a three-dimensional model.
  • FIG. 3 shows how a camera is used as the measuring device 10 to measure the shape of the interior of the casing of a steam turbine.
  • a worker may measure the internal shape by pointing a camera inside the manhole 201 or the like to take pictures, or by moving a drone equipped with a camera and lighting inside the vehicle.
  • the internal shape may also be measured by taking a photograph.
  • a camera or a light may be attached to the tip of an auxiliary tool such as a rod-shaped member, and the worker may insert the auxiliary tool into the exhaust chamber and photograph the interior.
  • photographing through the opening, photographing using a drone, and photographing using an auxiliary tool may be performed simultaneously and in parallel.
  • the image taken by the camera may be a moving image or a still image.
  • the range that can be measured at one time is narrower than when photographing an image, but the measurement accuracy is improved. Therefore, for locations where measurement accuracy is not required, measurement may be performed by image capturing, and for locations where measurement accuracy is required, measurement may be performed by three-dimensional measurement.
  • the model generation device 20 includes a data acquisition section 21, an input reception section 22, a template generation section 23, a simple model generation section 24, a dimension measurement section 25, a model generation section 26, an output section 27, and a storage section. 28.
  • the data acquisition unit 21 acquires measurement data indicating the shape of the object measured by the measuring device 10.
  • the measurement data is, for example, an image taken by a camera or three-dimensional coordinate data measured by a three-dimensional distance meter.
  • the input receiving unit 22 is configured using input devices such as a keyboard, mouse, touch panel, buttons, etc., and receives user input using the input devices. For example, the input receiving unit 22 receives an input of a part whose dimensions are to be measured and an input of a measurement method in measuring dimensions using a simple three-dimensional model, which will be described later.
  • the template creation unit 23 creates a template that imitates the three-dimensional shape of the object and a list of setting items to be set in the template, using a parametric function provided in parametric CAD software.
  • a parametric function provided in parametric CAD software.
  • general-purpose CAD software allows you to create any model, but modeling takes time because each shape is created by hand.
  • parametric CAD software all you have to do is enter the necessary dimensional information and the software automatically performs the rest of the work required to generate the model, making it possible to generate the model in a short time. be.
  • each component that makes up the template is managed on a component-by-component basis for each generation method (for example, "extrusion", etc.), and each component is managed by its type (line, circle, cylinder, etc.). ), position, horizontal and vertical dimensions, angles, radius in the case of a circle, distance between two points included in a component, connection relationships between multiple components, etc. ing.
  • the types of elements and the connection relationships between the plurality of constituent elements illustrated here are examples of setting items that will be described later.
  • a 3D model (parametric CAD model) is generated that maintains the shape characteristics of the original templated object while flexibly changing the size of each component. can do.
  • Creating 3D CAD data from scratch is very time-consuming, but with a parametric CAD model, it is easy to do so by simply setting numerical values such as dimensions and position information in the setting items of a template that has been created in advance.
  • a three-dimensional model can be generated. Once a template is created, it can be modified or adjusted later.
  • the simple model generation unit 24 generates a simple three-dimensional model of the object based on the measurement data acquired by the data acquisition unit 21.
  • a simple three-dimensional model is, for example, a point group (a set of coordinate data on the surface of an object), STL (Standard Triangulated Language, polygon data), or the like. Any known method such as photogrammetry, stereolithography, etc. can be used to generate a three-dimensional model from images and three-dimensional coordinate data.
  • FIG. 4 shows an outline of the process of generating a three-dimensional model using the photogrammetry method.
  • the data acquisition unit 21 acquires a plurality of images (401).
  • the simple model generation unit 24 generates an integrated image by overlapping the common parts of the respective images (402), and converts the integrated image into a three-dimensional model (403).
  • a simple three-dimensional model does not have enough precision to be used for performance analysis as it is, but it is generated for the purpose of measuring dimensions and the like to be set in a template necessary for generating a parametric CAD model.
  • the dimension measuring unit 25 calculates the dimensions and position information of various parts of the object based on the simple three-dimensional model generated by the simple model generating unit 24.
  • the dimension measurement unit 25 includes software that has a function of reading a 3D model, calculating and illustrating a cross section of the 3D model, and a function of measuring the size, area, angle, etc. of various parts of the 3D model. configured.
  • the dimension calculation unit 15 measures the diameter of the pipe by performing cylindrical approximation.
  • the angle 502 the angle between the member 503 and the "-X direction" is calculated, and the angle 502 is measured.
  • the dimension measuring unit 25 measures the outer diameter of the member 600 with a caliper 601 sandwiching the member 600, as illustrated in FIG. 6A.
  • the dimension measuring unit 25 measures the inner diameter of the member 600 with a caliper 601, as illustrated in FIG. 6B.
  • the dimension measuring unit 25 measures the distance between the two points. Measure length.
  • the dimension measurement unit 25 measures the length between the two points. .
  • the dimension measuring unit 25 measures the length between these two points. However, when the points 609 and 610 are designated, the dimension measurement unit 25 measures the length from the points 609 to 610. In this way, when the user specifies a part (for example, the diameter of the member 600) whose dimensions are to be obtained, the dimension measurement unit 25 can measure it in various ways using a simple three-dimensional model.
  • the dimension measurement unit 25 calculates the average of all measured values or the average of the remaining measured values after excluding the maximum and minimum values, and uses this value as the It may also be output as the final dimension measurement value.
  • the dimension measurement unit 25 can measure positional information of each part when a predetermined position is set as the origin. For example, when the user specifies a point 606 and instructs display of coordinate information, the dimension measurement unit 25 measures and outputs the position information of the point 606. For example, when the template requires setting of positional information of a part, the user can set the positional information measured by the dimension measurement unit 25 for the relevant setting item of the template.
  • the dimension measurement unit 25 analyzes a plurality of cross sections passing through the center of rotation, estimates the shape, and measures the dimensions.
  • FIG. 7 shows an example of a simple three-dimensional model of a diffuser installed in a steam turbine casing.
  • the center of the diffuser has a hole through which the rotor passes, and the cone-shaped area around the hole is called a bearing cone.
  • the user specifies planes 1 to 4 passing through the center P of the diffuser.
  • the dimension measurement unit 25 calculates and illustrates the cross section when cut along planes 1 to 4. As an example, a cut plane of plane 1 and a cut plane of plane 2 are shown in FIGS. 8A and 8B, respectively.
  • a bearing cone 801 and a flow guide 802 are shown in FIGS. 8A and 8B.
  • the bearing cone 801 and the flow guide 802 are parts that are closely related to the performance of the steam turbine and require precision when modeling.
  • the user judges whether the illustrated bearing cone 801 and flow guide 802 are good or bad, and inputs the judgment result to the model generation device 20 through the input reception unit 22. For example, in the case of the bearing cone 801 in FIG. 8B, the user determines that it is "bad” because it has no chips (range 803) or corners (range 804).
  • the dimension measurement unit 25 performs linear approximation to the data determined to be "good” based on the user's instructions, and calculates the dimensions.
  • FIG. 9 shows the results of linear approximation and dimension measurement for a cross-sectional view taken along plane 1.
  • lines 17 to 24 are straight lines that approximate the shape of the bearing cone 801 in each predetermined section.
  • the dimension measurement unit 25 calculates the length of each of the lines 17 to 24 (more precisely, the coordinate positions of both ends of each of the approximate straight lines 17 to 24).
  • the cut plane of plane 2 since the user's evaluation was "bad", no linear approximation or measurement is performed.
  • the dimension measuring unit 25 also performs linear approximation for each predetermined section on the cut surfaces of the planes 3 and 4, in the same way as illustrated in FIG. More precisely, the coordinate positions of both ends of each straight line are measured. Then, the dimension measurement unit 25 calculates an approximate straight line and its length for each section of the bearing cone 801 by averaging the measurement results of each cut surface. Since the shape of the bearing cone 801 is rotationally symmetrical about the point P, the shape of the bearing cone 801 can be estimated from each of the averaged approximate straight lines. If it is desired to improve the modeling accuracy of the bearing cone 801, the accuracy can be expected to improve by increasing the number of samples by cutting at a larger number of planes.
  • the dimension measurement unit 25 approximates the data determined to be "good" by a circular arc based on the user's instructions, and calculates the dimensions thereof.
  • the results of circular arc approximation and dimension measurement for cross-sectional views taken along planes 1 and 2 are shown in FIGS. 10A and 10B, respectively.
  • the dimension measuring unit 25 approximates each flow guide 802 with circular arcs c1 to c4, respectively.
  • the dimension measurement unit 25 measures the positional information of the center and the length of the diameter of the arcs c1 to c4.
  • the dimension measuring unit 25 also approximates each flow guide 802 with a circular arc for the cut planes of the planes 3 and 4, and measures the positional information of the center of the circular arc and the length of the diameter. Then, the dimension measuring unit 25 calculates the average coordinate position and diameter of an arc that approximates the flow guide 802 by averaging the results of measuring each cut surface. Since the shape of the flow guide 802 is rotationally symmetrical about the point P, the shape of the flow guide 802 can be estimated from the averaged arc. If it is desired to improve the modeling accuracy of the flow guide 802, the accuracy can be expected to improve by increasing the number of samples by cutting at a larger number of planes.
  • Approximating the bearing cone 801 with a plurality of straight lines and approximating the flow guide 802 with a circle is well known to anyone with engineering knowledge of steam turbines, regardless of the manufacturer of the casing. Similarly, the dimensions of the bearing cone 801 and flow guide 802 can be measured with high accuracy.
  • the model generation unit 26 sets the dimensions measured by the dimension measurement unit 25 in the template of the parametric CAD model created by the template creation unit 23, and generates a three-dimensional model (parametric CAD model) of the object.
  • the model generation unit 26 includes software having a parametric CAD function (parametric CAD software). As illustrated in FIG. 11, such software includes an interface T200 for setting values in template setting items. The user inputs the dimensions measured by the dimension measuring section 25 and position information through the interface T200. The model generation unit 26 reads the input dimensions and position information, sets each value in a template, and generates a three-dimensional model 202 (parametric CAD model) of the object.
  • the effect of other small internal members on the performance is small and can be estimated to some extent by another method, so even the performance evaluation using the three-dimensional model 202 without the small internal members illustrated in FIG. can be fulfilled.
  • the 3D model 202 can be generated even if detailed measurement data is omitted or the simple 3D model is missing, and in a short period of time (for example, 1 to 2 weeks). can be generated.
  • the output unit 27 displays on the display device 30 the simple three-dimensional model generated by the simple model generating unit 24, the diagram of the cut plane calculated by the dimension measuring unit 25, the three-dimensional model 202 generated by the model generating unit 26, etc. do.
  • the storage unit 28 stores measurement data acquired by the data acquisition unit 21, simple three-dimensional models (point cloud data and STL) generated by the simple model generation unit 24, and parametric CAD model templates created by the template generation unit 23. and information on setting items.
  • the display device 30 is configured using a liquid crystal display or the like.
  • the display device 30 displays the information output by the output unit 27.
  • the template creation unit 23 creates a parametric CAD template (step S1).
  • a user uses the functions of the template creation unit 23 to create a template for an object such as a steam turbine casing. If there are multiple types of object shapes, the user creates multiple templates in advance.
  • the template creation unit 23 records the created template in the storage unit 28.
  • the three-dimensional shape of the object is measured using the measuring device 10 (step S2).
  • a user uses a camera, a three-dimensional range finder, or the like to measure the interior shape of a vehicle interior.
  • measurements can be taken in a short time.
  • the measurement range is limited, so it takes time to measure.
  • processing time can be shortened because the process of integrating multiple images to generate an image and the process of generating a three-dimensional model such as STL from the images can be omitted.
  • the user may use a camera and a three-dimensional rangefinder together based on the properties of the measuring device 10. For example, when analyzing performance after generating a 3D model, use a 3D rangefinder to measure areas that have a large impact on performance, and measure areas that have little impact on performance by taking images. Good too.
  • the data acquisition unit 21 acquires the measurement data measured by the measuring device 10 (step S3).
  • the data acquisition unit 21 records the acquired measurement data in the storage unit 28.
  • the simple model generation unit 24 generates a simple three-dimensional model based on the measurement data recorded in the storage unit 28 (step S4). Since the purpose of a simple three-dimensional model is to collect dimensions, there is no problem even if there are chips or distortions as long as the main dimensions and positional information can be measured.
  • the simple model generation unit 24 generates a simple three-dimensional model of the object using a known technique such as photogrammetry.
  • the dimension measurement unit 25 measures dimensions based on a simple three-dimensional model (step S5).
  • the dimension measuring unit 25 measures the dimensions included in the setting items of the template of the object based on the user's instructions. For example, when measuring the length of a certain member, the length of the member is measured by measuring the length of the member in multiple ways (by slightly shifting the measurement position, etc.) and calculating the average value. Thereby, even if the simple three-dimensional model has defects such as chips, the accuracy of the measured dimensions can be maintained.
  • the user may specify an approximation method. For example, the user may instruct the side surface of the pipe to be approximated by a cylinder, and may measure the diameter of the pipe using the cylinder approximation.
  • the user may instruct the cross section of the pipe to be approximated by a circle, and may measure the diameter of the pipe using the circle approximation.
  • cross sections may be generated at many positions on the pipe and circular approximation may be performed for each cross section.
  • the dimension measurement unit 25 approximates a shape such as a triangle, ellipse, rectangular plane, polygon, rectangular parallelepiped, polyhedron, or sphere according to the shape of the part to be measured, and calculates the size based on the approximated shape. , it is possible to measure the dimensions and position information of the target region.
  • curved surfaces such as the bearing cone 801 and flow guide 802 illustrated in FIG.
  • the curved surface may be divided into predetermined sections and each section may be approximated by a straight line, or the entire curved surface may be approximated by a circular arc, an ellipse, etc. You may.
  • the output unit 27 outputs the dimensions and position information measured by the dimension measuring unit 25 to the display device 30 together with a simple three-dimensional model or a cross-sectional view thereof (step S6). The user checks whether the necessary dimensions have been measured, and if any are missing, performs a predetermined operation to cause the dimension measuring section 25 to perform measurements.
  • the model generation unit 26 sets the dimensions etc. output in step S6 in the setting items of the template created in step S1 (step S7).
  • the user inputs the dimensions measured by the dimension measuring section 25 into the interface T200.
  • the user checks the shape and dimensions of the simple 3D model, selects the template with the closest shape, and adds the measured dimensions and dimensions to the setting items of that template. Enter location information.
  • the model generation unit 26 generates a three-dimensional model (parametric CAD model) of the object (step S8).
  • the output unit 27 outputs the generated three-dimensional model to the display device 30 (step S9).
  • step S10 The user checks the three-dimensional model output by the display device 30 and determines whether correction is necessary (step S10). If no modification is necessary (step S10; No), the three-dimensional model generation process is completed. The user uses the generated three-dimensional model to perform performance analysis and the like. If modification is necessary (step S10; Yes), the user modifies the parametric CAD model template (step S11). When the template is modified, the process from step S5 is repeated as necessary.
  • a parametric CAD template for generating a model of the object is prepared; (2) dimensional information necessary for generating a three-dimensional model is acquired; (3) use the measurement results to construct a simple three-dimensional model (point cloud or STL); (4) simple three-dimensional model.
  • a 3D model of an object for which no drawing information is available can be generated in a short time by extracting dimension and position information to be set in the template from (5) generating a 3D model using a parametric CAD template. be able to.
  • a three-dimensional model can also be generated for structures that cannot be created (for example, structures that have an internal space or structures that have various structures such as piping installed in the internal space). This makes it possible to quickly generate 3D models for evaluation purposes, such as when replacing products from other companies, replacing large machines such as low-pressure turbines, or during remodeling work.
  • FIG. 13 is a diagram illustrating an example of the hardware configuration of a model generation device in an embodiment of the present disclosure.
  • the computer 900 includes a CPU 901, a main storage device 902, an auxiliary storage device 903, an input/output interface 904, and a communication interface 905.
  • the above-described model generation device 20 is implemented in a computer 900.
  • Each of the above-mentioned functions is stored in the auxiliary storage device 903 in the form of a program.
  • the CPU 901 reads the program from the auxiliary storage device 903, expands it to the main storage device 902, and executes the above processing according to the program.
  • the CPU 901 reserves a storage area in the main storage device 902 according to the program. According to the program, the CPU 901 reserves a storage area in the auxiliary storage device 903 to store the data being processed.
  • a program for realizing all or part of the functions of the model generation device 20 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into a computer system and executed. Processing may also be performed by the department.
  • the "computer system” here includes hardware such as an OS and peripheral devices.
  • Computer system includes the homepage providing environment (or display environment) if a WWW system is used.
  • a "computer-readable recording medium” refers to a portable medium such as a CD, DVD, or USB, or a storage device such as a hard disk built into a computer system.
  • the above-mentioned program may be one for realizing a part of the above-mentioned functions, or may be one that can realize the above-mentioned functions in combination with a program already recorded in the computer system.
  • the control device 120 may be configured by a plurality of computers 900.
  • the storage unit 28 may be stored in an external storage device separate from the computer 900.
  • model generation device 20 model generation system 100, model generation method, and program described in each embodiment are understood as follows, for example.
  • the model generation device 20 includes an acquisition unit that acquires measurement data of a three-dimensional shape of an object, and a simple three-dimensional model generation unit that generates a three-dimensional model based on the measurement data. , a dimension measuring unit that measures dimensions or positional information of a predetermined part of the object based on the three-dimensional model; and setting the measured dimensions or positional information to a template of a parametric three-dimensional model of the object. and a model generation unit that generates a parametric three-dimensional model of the object.
  • a three-dimensional model of the object can be generated in a short time even if drawing information of the object does not exist.
  • a model generation device 20 is the model generation device 20 of (1), in which the dimension measurement unit 25 measures the dimensions of the predetermined portion using a plurality of methods. The dimensions of the predetermined portion are calculated based on the measurement results. Thereby, even if there is a defect or distortion in the three-dimensional model, the measurement accuracy of dimensions can be maintained.
  • the model generation device 20 according to the third aspect is the model generation device 20 according to (1) to (2), in which the dimension measurement unit measures a triangle, a circle, an arc, an ellipse, a triangle, a circle, an arc, an ellipse,
  • the dimensions of the predetermined portion are measured by approximating the shape using any one of a rectangular plane, a polygon, a rectangular parallelepiped, a polyhedron, a cylinder, a sphere, and a straight line, and based on the shape used for the approximation. Thereby, even if there is a defect or distortion in the three-dimensional model, the dimensions of a predetermined portion can be measured.
  • the model generation device 20 according to a fourth aspect is the model generation device 20 according to any one of (1) to (3), wherein the measurement data is an image taken of the object.
  • the simple three-dimensional model generating section generates the three-dimensional model by a photogrammetry method based on the image. Thereby, a simple three-dimensional model used for measuring dimensions can be generated.
  • the model generation device 20 according to the fifth aspect is the model generation device 20 according to any one of (1) to (4), wherein the measurement data is a shape of the object (for example, a shape of the object).
  • the simple three-dimensional model generation unit generates the three-dimensional model based on the three-dimensional position information. Thereby, a simple three-dimensional model used for measuring dimensions can be generated.
  • the simple three-dimensional model may be a set (point group) of positional information measured by a three-dimensional range finder.
  • the model generation system 100 includes a measurement device that measures the three-dimensional shape of an object, and the model generation device described in (1) to (5). Thereby, a three-dimensional model of an object without drawing information can be measured in a short time.
  • the model generation system 100 according to a seventh aspect is the model generation system 100 according to (6), in which the object has a shape including a space inside, and the measurement device is connected to a moving object.
  • the measurement data is measured by attaching the movable body to the space and moving the movable body within the space. This makes it possible to measure the internal shape and generate a three-dimensional model of an object that has an internal shape that is difficult for a person to enter and measure.
  • the model generation system 100 according to the eighth aspect is the model generation system 100 according to any one of (6) to (7), wherein the object has a shape that includes a space inside.
  • the measurement data is measured by attaching the measuring device to a predetermined member (such as a rod-shaped member, a plate-shaped member, or hanging from the tip of a rod), and inserting the member into the space.
  • a predetermined member such as a rod-shaped member, a plate-shaped member, or hanging from the tip of a rod
  • a model generation method includes the steps of: acquiring measurement data of a three-dimensional shape of an object; generating a three-dimensional model based on the measurement data; and generating a three-dimensional model based on the three-dimensional model. a step of measuring dimensions or position information of a predetermined part of the object; setting the measured dimensions or position information in a template of a parametric three-dimensional model of the object; generating a model.
  • a program includes the steps of: acquiring measurement data of a three-dimensional shape of an object; generating a three-dimensional model based on the measurement data; and generating a three-dimensional model based on the measurement data. a step of measuring dimensions or positional information of a predetermined part of the object based on the target object; and setting the measured dimensions or positional information to a template of a parametric three-dimensional model of the object; generating a dimensional model;
  • model generation device model generation system, model generation method, and program, a three-dimensional model of an object can be generated in a short time.

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CN202380013357.0A CN117916738A (zh) 2022-04-12 2023-02-02 模型生成装置、模型生成系统、模型生成方法及程序
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2025120982A1 (ja) * 2023-12-04 2025-06-12 株式会社日立製作所 情報処理装置及び情報処理方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001001075A2 (en) * 1999-06-25 2001-01-04 Bethere Photogrammetry engine for model construction
WO2010123669A2 (en) * 2009-04-23 2010-10-28 Vought Aircraft Industries, Inc. Method and system for transforming a cad model of an object between engineering states

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002023408A1 (fr) 2000-09-18 2002-03-21 Hitachi, Ltd. Procede de description de profiles pleins et dispositif associe et systeme d'aide a la conception de profiles pleins les utilisant
US8396329B2 (en) * 2004-12-23 2013-03-12 General Electric Company System and method for object measurement
JP4730954B2 (ja) 2005-09-26 2011-07-20 独立行政法人 日本原子力研究開発機構 表面形状が時間変化する流体領域中の速度分布及び圧力分布を求める方法
US8619265B2 (en) 2011-03-14 2013-12-31 Faro Technologies, Inc. Automatic measurement of dimensional data with a laser tracker
JP5610443B2 (ja) 2011-08-01 2014-10-22 三菱日立パワーシステムズ株式会社 ３次元寸法測定方法
JP6192938B2 (ja) 2013-01-15 2017-09-06 株式会社東芝 三次元合成処理システムおよび三次元合成処理方法
US9367651B2 (en) * 2013-05-06 2016-06-14 Cherif Algreatly 3D wearable glove scanner
KR102135560B1 (ko) 2018-05-16 2020-07-20 주식회사 유진로봇 카메라와 라이다를 이용한 융합 센서 및 이동체
US11579298B2 (en) 2017-09-20 2023-02-14 Yujin Robot Co., Ltd. Hybrid sensor and compact Lidar sensor
IT201700123187A1 (it) * 2017-10-30 2019-04-30 Univ Degli Studi Di Firenze Metodo per la ricostruzione di modelli CAD tramite adattamento parametrico
KR20200076250A (ko) * 2018-12-19 2020-06-29 전자부품연구원 스테레오 카메라와 근적외선 조명/센서 융합 기반 임의 객체 길이 측정 방법 및 시스템
JP6742036B1 (ja) 2019-03-18 2020-08-19 学校法人東京理科大学 画像分析装置、方法、及びプログラム
US11809789B2 (en) 2019-11-06 2023-11-07 Rtx Corporation Parametric component design process
KR102850320B1 (ko) 2020-02-12 2025-08-26 주식회사 케이티 비디오그래메트리 영상을 제공하는 서버, 방법 및 컴퓨터 프로그램
US11772395B2 (en) 2020-10-15 2023-10-03 Zebra Technologies Corporation Lid subsystem for media processing devices

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001001075A2 (en) * 1999-06-25 2001-01-04 Bethere Photogrammetry engine for model construction
WO2010123669A2 (en) * 2009-04-23 2010-10-28 Vought Aircraft Industries, Inc. Method and system for transforming a cad model of an object between engineering states

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
HIROSHI MATSUZAWA , HIROSHI MASUDA, MASAYUKI NUMAO: "A method for understanding drawing attributes for a 3D model", IPSJ SIG TECHNICAL REPORTS, INFORMATION PROCESSING SOCIETY OF JAPAN, JP, vol. 95, no. 18, 17 February 1995 (1995-02-17), JP , pages 1 - 8, XP009549472, ISSN: 0919-6072 *
SATOSHI KUBOTA ，, YOSHINORI TSUKADA,YOSHIMASA UMEHARA, SHIGENORI TANAKA : "Research for Generating Parametric Model of Bridge Using Point Cloud Data", INFORMATION PROCESSING SOCIETY OF JAPAN JOURNAL, vol. 62, no. 5, 15 May 2021 (2021-05-15), pages 1234, XP093098251 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2025120982A1 (ja) * 2023-12-04 2025-06-12 株式会社日立製作所 情報処理装置及び情報処理方法

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