JP2010231632A - Man-hour estimation support program, man-hour estimation support device, and man-hour estimation support method - Google Patents

Abstract

[PROBLEMS] To improve the accuracy of estimation of work man-hours.
In this man-hour estimation method, a closed region C1 is extracted from a front view P1 of a part X to be estimated for man-hours. Thereafter, a part shape whose front shape matches the closed region C1 is searched from the various databases 210 and 220. Here, when a plurality of component shapes are searched, the shape S1 corresponding to the closed region C1 is extracted from the right side view P2. Then, a component shape whose shape S1 matches the right side shape is searched from among a plurality of component shapes. Here, when a plurality of component shapes are retrieved, the shape S2 corresponding to the closed region C1 is extracted from the bottom view P3. Then, a component shape whose shape S2 and the bottom surface shape coincide with each other is searched from a plurality of component shapes. As described above, in the man-hour estimation method, the part shape of the part X is specified from combinations of cross-sectional shapes viewed from a plurality of viewpoints.
[Selection] Figure 2

Description

  The present invention relates to a man-hour estimation support program, a man-hour estimation support device, and a man-hour estimation support method related to work man-hour estimation.

  2. Description of the Related Art Conventionally, there has been known a technique for estimating a work man-hour required for creating a three-dimensional drawing or processing an object using a two-dimensional drawing related to the object (for example, a part). Specifically, for example, the work man-hour is estimated from the drawing size (for example, A4, A3, etc.) of the two-dimensional drawing and the number of elements (for example, straight lines, arcs, etc.) in the drawing.

  Conventionally, techniques for extracting various elements from a two-dimensional drawing have been disclosed (see, for example, Patent Documents 1 to 3 below). Specifically, for example, by extracting closed graphic data from graphic data related to an object, and comparing the extracted data with data of a fixed shape defined in advance, a fixed shape necessary for processing can be obtained. There is something to clarify.

JP-A-6-259122 JP-A-6-259507 JP-A-4-287284

  However, it is necessary to estimate the work man-hours required for creating a three-dimensional drawing relating to the object and processing the object in consideration of specific work contents (for example, drilling and chamfering) performed by the worker. Therefore, as in the prior art described above, if the work man-hour is simply estimated from the drawing size or the number of elements such as a straight line or an arc in the drawing, there is a problem that the estimation accuracy is significantly lowered.

  In addition, the above-described conventional techniques of Patent Documents 1 to 3 have a problem that it is difficult to apply to a three-dimensional element having unevenness. Accordingly, there has been a problem that it is not possible to appropriately extract a three-dimensional element from the two-dimensional drawing, and as a result, the estimation accuracy of the work man-hour is lowered.

  In order to solve the above-described problems caused by the conventional technology, the present disclosure technology is a man-hour estimation support program, man-hour estimation support device, which improves the accuracy of estimation of the man-hours required for creation of a three-dimensional drawing related to an object and processing of the object, It aims at providing a man-hour estimation support method.

  In order to solve the above-described problems and achieve the object, the disclosed technology acquires a two-dimensional drawing of an object to be estimated for man-hours, extracts a closed region from the acquired two-dimensional drawing, The cross-sectional shape that matches the shape of the extracted closed region is stored in a database that stores the shape attribute of the object in association with the cross-sectional shape for each viewpoint when the shape is viewed from a plurality of viewpoints. The cross-sectional shape is searched from cross-sectional shapes when viewed from the same viewpoint as the two-dimensional drawing from which the closed region is extracted, and the attribute of the searched cross-sectional shape is output as the attribute of the shape represented by the closed region. It is characterized by doing.

  According to the disclosed technology, the shape of the target object can be specified by clarifying the shape represented by the closed region in the two-dimensional drawing.

  According to the present man-hour estimation support program, man-hour estimation support device, and man-hour estimation support method, there is an effect that it is possible to improve the estimation accuracy of the man-hours required for creating a three-dimensional drawing and processing an object.

It is explanatory drawing which shows an example of a two-dimensional drawing. It is explanatory drawing which shows the outline | summary of this man-hour estimation method. It is a block diagram which shows the hardware constitutions of a man-hour estimation apparatus. It is explanatory drawing which shows an example of the memory content of internal work pattern DB. It is explanatory drawing which shows an example of the memory content of external work pattern DB. It is a block diagram which shows the functional structure of a man-hour estimation assistance apparatus. It is explanatory drawing which shows an example of the 1st and 2nd closed area | region. It is explanatory drawing which shows the example of extraction of the shape corresponding to a closed area | region. It is explanatory drawing which shows an example of an extraction result table. It is explanatory drawing (the 1) which shows an example of a work pattern table. It is explanatory drawing which shows an example of a work time table. It is explanatory drawing (the 2) which shows an example of a work pattern table. It is explanatory drawing which shows an example of the memory content of special internal work pattern DB. It is explanatory drawing which shows an example of the memory content of special external work pattern DB. It is explanatory drawing which shows the example of deletion of a closed area | region. It is explanatory drawing which shows the example of deletion of the shape corresponding to a closed area | region. It is explanatory drawing which shows the specific example of a two-dimensional drawing list. It is a flowchart (the 1) which shows an example of the man-hour estimation process sequence of a man-hour estimation apparatus. It is a flowchart (the 2) which shows an example of the man-hour estimation process sequence of a man-hour estimation apparatus. It is a flowchart (the 3) which shows an example of the man-hour estimation process sequence of a man-hour estimation apparatus. It is a flowchart which shows an example of the specific process sequence of a 1st narrowing-down process. It is a flowchart which shows an example of the specific process sequence of a 1st deletion process. It is a flowchart which shows an example of the specific process sequence of a 1st registration process. It is explanatory drawing which shows an example of the two-dimensional drawing in the middle of preparation. It is a flowchart which shows an example of a progress rate calculation process procedure.

  Exemplary embodiments of a man-hour estimation support program, a man-hour estimation support device, and a man-hour estimation support method according to the present invention will be described below in detail with reference to the accompanying drawings.

(Example of two-dimensional drawing)
First, a two-dimensional drawing relating to an object for estimating work man-hours will be described. FIG. 1 is an explanatory diagram showing an example of a two-dimensional drawing. In FIG. 1, a front view P1, a right side view P2, and a bottom view P3 are two-dimensional drawings relating to a part X that is a target of estimation of work man-hours.

  The front view P1 is a two-dimensional drawing of the surface taken as the front of the component X. The right side view P2 is a two-dimensional drawing of the part X viewed from the right side. The bottom view P3 is a two-dimensional drawing of the surface of the part X as the bottom surface. In each of the drawings P1 to P3, the cross-sectional shape of the component X is expressed using dimensions, dimension lines, outline lines, and hide lines.

  Here, the dimension line is a line (a thin solid line in the figure) representing the dimension of the object. The outline line is a line (a thick solid line in the figure) representing the shape of the portion where the object can be seen. The hide line is a line (dotted line in the figure) representing the shape of the part where the object cannot be seen.

(Outline of the man-hour estimation method)
Next, the outline of the man-hour estimation method will be described. In the present man-hour estimation method, the man-hours required for creation of a three-dimensional drawing (or processing of an object) are estimated using a two-dimensional drawing relating to the object.

  FIG. 2 is an explanatory diagram showing an outline of the man-hour estimation method. Here, a case will be described in which the work man-hours required to create a three-dimensional drawing relating to the part X are estimated using the two-dimensional drawings P1 to P3 relating to the part X shown in FIG. The execution subject of the procedures (1) to (6) described below is the man-hour estimation device 300 shown in FIG.

  (1) The closed region is extracted from the two-dimensional drawings P1 to P3 of the part X by the man-hour estimating device 300. Here, the closed region is a region surrounded by a solid line in the two-dimensional drawing. Specifically, for example, the man-hour estimation device 300 extracts the closed region C1 from the front view P1. A detailed description of the closed region will be described later with reference to FIG.

  (2) With the man-hour estimation device 300, the closed region C1 and the shape are selected from the various databases 210 and 220 that store the part shape and the cross-sectional shape for each viewpoint when the part shape is viewed from a plurality of viewpoints. Search for a matching cross-sectional shape. At this time, the cross-sectional shape (here, the front shape) when the part shape is viewed from the same viewpoint as the front view P1 from which the closed region C1 is extracted is set as a search target.

  That is, by searching a cross-sectional shape whose shape matches that of the closed region C1 from the various databases 210 and 220, the part shape represented by the closed region C1 is specified. The contents stored in the various databases 210 and 220 will be described later with reference to FIGS.

  Here, when one cross-sectional shape is retrieved, the component shape associated with the retrieved cross-sectional shape is the component shape represented by the closed region C1. On the other hand, when a plurality of cross-sectional shapes are searched, the component shapes respectively associated with the searched cross-sectional shapes become the component shape candidates of the component shapes represented by the closed region C1. Therefore, it is necessary to narrow down the part shape represented by the closed region C1 from among a plurality of part shape candidates.

  (3) When a plurality of cross-sectional shapes are retrieved by the man-hour estimating device 300, the shape corresponding to the closed region C1 extracted from the front view P1 is extracted from the right side view P2. Specifically, for example, the man-hour estimating device 300 extracts the shape S1 corresponding to the closed region C1 from the right side view P2.

  (4) The man-hour estimation device 300 searches for a part shape candidate whose cross-sectional shape when viewed from the right side matches the shape S1 from among a plurality of part shape candidates. Here, when one part shape candidate is retrieved, the retrieved part shape candidate is a part shape represented by the closed region C1. On the other hand, when a plurality of part shape candidates are searched, it is necessary to further narrow down.

  (5) When a plurality of part shape candidates are retrieved by the man-hour estimation device 300, the shape corresponding to the closed region C1 extracted from the front view P1 is extracted from the bottom view P3. Specifically, for example, the man-hour estimating device 300 extracts the shape S2 corresponding to the closed region C1 from the bottom view P3.

  (6) The man-hour estimating device 300 searches for a part shape candidate whose cross-sectional shape when viewed from the bottom matches the shape S2 from among a plurality of part shape candidates. Here, one part shape candidate representing “long hole-penetration” is searched. Therefore, it is possible to specify that the part shape represented by the closed region C <b> 1 is “elongate hole-penetrating”, and that the part X has “elongate hole-penetrating”.

  As described above, in the man-hour estimation method, the part shape of the part X is specified from the combination of cross-sectional shapes when viewed from a plurality of viewpoints. This makes it possible to identify the work required for creating a three-dimensional drawing related to the part X, and to estimate the work man-hours with high accuracy.

(Hardware configuration of the man-hour estimation device)
Next, a hardware configuration of the man-hour estimation device 300 according to the embodiment will be described. FIG. 3 is a block diagram illustrating a hardware configuration of the man-hour estimation device. In FIG. 3, a man-hour estimation device 300 includes a CPU (Central Processing Unit) 301, a ROM (Read-Only Memory) 302, a RAM (Random Access Memory) 303, a magnetic disk drive 304, a magnetic disk 305, and an optical disk. A drive 306, an optical disk 307, a display 308, an I / F (Interface) 309, a keyboard 310, a mouse 311, a scanner 312, and a printer 313 are provided. Each component is connected by a bus 320.

  Here, the CPU 301 controls the entire man-hour estimation device 300. The ROM 302 stores a program such as a boot program. The RAM 303 is used as a work area for the CPU 301. The magnetic disk drive 304 controls the reading / writing of the data with respect to the magnetic disk 305 according to control of CPU301. The magnetic disk 305 stores data written under the control of the magnetic disk drive 304.

  The optical disk drive 306 controls the reading / writing of the data with respect to the optical disk 307 according to control of CPU301. The optical disk 307 stores data written under the control of the optical disk drive 306, and causes the computer to read data stored on the optical disk 307.

  The display 308 displays data such as a document, an image, and function information as well as a cursor, an icon, or a tool box. As this display 308, for example, a CRT, a TFT liquid crystal display, a plasma display, or the like can be adopted.

  An interface (hereinafter abbreviated as “I / F”) 309 is connected to a network 314 such as a LAN (Local Area Network), a WAN (Wide Area Network), and the Internet through a communication line, and the other via the network 314. Connected to other devices. The I / F 309 serves as an internal interface with the network 314 and controls data input / output from an external device. For example, a modem or a LAN adapter can be adopted as the I / F 309.

  The keyboard 310 includes keys for inputting characters, numbers, various instructions, and the like, and inputs data. Moreover, a touch panel type input pad or a numeric keypad may be used. The mouse 311 performs cursor movement, range selection, window movement, size change, and the like. A trackball or a joystick may be used as long as they have the same function as a pointing device.

  The scanner 312 optically reads an image and takes in the image data into the man-hour estimation device 300. The scanner 312 may have an OCR (Optical Character Reader) function. The printer 313 prints image data and document data. As the printer 313, for example, a laser printer or an ink jet printer can be employed.

(Contents stored in various databases)
Next, the various databases 210 and 220 will be described. The various databases 210 and 220 realize their functions by, for example, storage areas such as the RAM 303, the magnetic disk 305, and the optical disk 307 of the man-hour estimation device 300 shown in FIG.

  First, the contents stored in the internal work pattern DB 210 will be described. FIG. 4 is an explanatory diagram showing an example of the contents stored in the internal work pattern DB. In FIG. 4, the internal work pattern DB 210 has field items of work name, front face shape, right side face shape, left side face shape, top face shape, bottom face shape, and back face shape. By setting information in each field item, information regarding the component shape is stored as a record.

  Here, the work name is an attribute of the part shape and is the name of the work for forming the part shape. The front shape is a cross-sectional shape when the part shape is viewed from the front direction. The right side surface shape is a cross-sectional shape when the part shape is viewed from the right side surface direction. The left side view is a cross-sectional shape when the part shape is viewed from the left side direction. The top surface shape is a cross-sectional shape when the part shape is viewed from the top surface direction. The bottom surface shape is a cross-sectional shape when the part shape is viewed from the bottom surface direction. The back surface shape is a cross-sectional shape when the component shape is viewed from the back surface direction.

  Next, the contents stored in the external work pattern DB 220 will be described. FIG. 5 is an explanatory diagram showing an example of the contents stored in the external work pattern DB. In FIG. 5, the external work pattern DB 220 has field items of work name, front face shape, right side face shape, left side face shape, top face shape, bottom face shape, and back face shape. By setting information in each field item, information regarding the component shape is stored as a record.

(Functional configuration of man-hour estimation support device)
Next, a functional configuration of the man-hour estimation support apparatus will be described. FIG. 6 is a block diagram illustrating a functional configuration of the man-hour estimation support apparatus. 6, the man-hour estimation support apparatus 300 includes an acquisition unit 601, an extraction unit 602, a search unit 603, a calculation unit 604, a registration unit 605, a deletion unit 606, a creation unit 607, and an output unit 608. It is the structure containing these. Specifically, the functions (acquisition unit 601 to output unit 608) serving as the control unit are, for example, a program stored in a storage device such as the ROM 302, RAM 303, magnetic disk 305, and optical disk 307 shown in FIG. The function is realized by executing the function or by the I / F 309.

  The acquisition unit 601 has a function of acquiring a two-dimensional drawing for each viewpoint when the target for estimating the number of work steps is viewed from a plurality of viewpoints. Here, the object is, for example, a part, an industrial product, a building, or the like. The work man-hour is, for example, the man-hour required for creating and processing a three-dimensional drawing of an object. A two-dimensional drawing is, for example, electronic data created in accordance with drafting rules and drafting rules common to the industrial field.

  Specifically, for example, the acquisition unit 601 receives a two-dimensional drawing (for example, front view P1, right side view P2, bottom view P3) by a user operation input using the keyboard 310 or the mouse 311 shown in FIG. May be accepted. The acquisition unit 601 may acquire a two-dimensional drawing from an external computer device via the I / F 309.

  In addition, viewpoint information for specifying from which viewpoint the object is viewed is added to each two-dimensional drawing. The acquired result is stored in a storage device such as the RAM 303, the magnetic disk 305, and the optical disk 307 shown in FIG.

  The extraction unit 602 has a function of extracting a closed region from the acquired two-dimensional drawing. Specifically, for example, the extraction unit 602 includes a closed region (hereinafter, “first closed region”) that is not in contact with the boundary of the maximum outer shape among the closed regions included in the maximum outer shape from the two-dimensional drawing. Extract). At this time, when there are a plurality of first closed regions, a closed region having a small area may be preferentially extracted.

  Further, the extraction unit 602 extracts a closed region (hereinafter referred to as “second closed region”) in contact with the boundary of the maximum outer shape from among the closed regions included in the maximum outer shape from the two-dimensional drawing. To do. At this time, when there are a plurality of second closed regions, a closed region having a small area may be preferentially extracted. Here, taking the front view P1 and the right side view P2 regarding the part X as examples, the first and second closed regions to be extracted will be described.

  FIG. 7 is an explanatory diagram illustrating an example of the first and second closed regions. In the front view P <b> 1, the closed regions C <b> 1 and C <b> 2 are first closed regions that are not in contact with the boundary of the maximum outer shape 710 among the closed regions included in the maximum outer shape 710. In the right side view P2, closed regions C3 and C4 are second closed regions that are in contact with the boundary of the maximum outer shape 720 and have the smallest area among the closed regions included in the maximum outer shape 720.

  Returning to the description of FIG. 6, the extraction unit 602 has a function of extracting a shape corresponding to the closed region from another two-dimensional drawing different from the two-dimensional drawing from which the closed region is extracted. Specifically, for example, the extraction unit 602 specifies the position of the shape corresponding to the closed region in another two-dimensional drawing from the mutual positional relationship between the two-dimensional drawings, and the shape existing at the specified position is determined. Extract.

  Here, an example of extracting the shape corresponding to the closed region will be described. FIG. 8 is an explanatory diagram illustrating an example of extracting a shape corresponding to the closed region. In FIG. 8, the closed region C2 is a first closed region extracted from the front view P1. In this case, the extraction unit 602 specifies a region 801 corresponding to the closed region C2 in the right side view P2 from the mutual positional relationship between the front view P1 and the right side view P2.

  Then, the extraction unit 602 extracts the shape S3 from the identified region 801. Further, the extraction unit 602 specifies a region 802 corresponding to the closed region C2 in the bottom view P3 from the mutual positional relationship between the front view P1 and the bottom view P3. Then, the extraction unit 602 extracts the shape S4 from the region 802. Next, data retention of extraction results will be described.

  FIG. 9 is an explanatory diagram illustrating an example of the extraction result table. In FIG. 9, the extraction result table 900 has field items of a closed region ID and a shape ID. By setting information in each field item, information regarding the extraction result for each closed region is stored as a record. Here, the closed region ID is an identifier of the closed region. The shape ID is an identifier of a shape corresponding to the closed region.

  (A) When the closed region C2 is extracted from the front view P1, “C2” is set in the field item of the closed region ID. (B) When the extraction unit 602 extracts the shape S3 corresponding to the closed region C2 from the right side view P2, “S3” is set in the field item of the shape ID. (C) When the extraction unit 602 extracts the shape S4 corresponding to the closed region C2 from the bottom view P3, “S4” is set in the field item of the shape ID.

  According to the extraction result table 900, the extracted closed region and shape extracted from the two-dimensional drawing can be recognized. Thereby, it is possible to prevent duplicated extraction of closed regions and shapes. In addition, you may decide to avoid duplication extraction by deleting the closed area | region and the shape corresponding to this closed area | region already extracted by the deletion part 606 mentioned later from a two-dimensional drawing. The extraction result table 900 is stored in a storage device such as the RAM 303, the magnetic disk 305, and the optical disk 307.

  Returning to the description of FIG. 6, the search unit 603 selects a cross-sectional shape whose shape matches that of the extracted closed region from among the cross-sectional shapes stored in the various databases 210 and 220, the two-dimensional drawing from which the closed region is extracted. Has a function of searching from the cross-sectional shape when viewed from the same viewpoint. Hereinafter, a specific example of search processing when the first or second closed region is extracted will be described.

  First, when the first closed region is extracted, the search unit 603 specifies the viewpoint from the viewpoint information added to the acquired two-dimensional drawing. Then, the search unit 603 matches the shape of the first closed region with the cross-sectional shape set in the field item of the shape viewed from the identified viewpoint in the stored contents of the internal work pattern DB 210 as the search target. Search for cross-sectional shape.

  Specifically, for example, when the first closed region C1 is extracted from the front view P1, the search unit 603 specifies the viewpoint (front) from the viewpoint information added to the front view P1. Then, the search unit 603 searches for a record in which a cross-sectional shape that matches the shape of the first closed region C1 is set, using the field item of the front shape of the internal work pattern DB 210 as a search target.

  On the other hand, when the second closed region is extracted, the search unit 603 specifies the viewpoint from the viewpoint information added to the acquired two-dimensional drawing. Then, the search unit 603 matches the shape of the second closed region with the cross-sectional shape set in the field item of the shape viewed from the identified viewpoint in the stored contents of the external work pattern DB 220 as the search target. Search for cross-sectional shape.

  Specifically, for example, when the second closed region C2 is extracted from the bottom view P3, the search unit 603 identifies the viewpoint (bottom surface) from the viewpoint information added to the bottom view P3. Then, the search unit 603 searches for a record in which a cross-sectional shape that matches the shape of the second closed region C2 is set, with the field item of the bottom surface shape of the external work pattern DB 220 as a search target.

  In addition, when a plurality of cross-sectional shapes having the same shape as the first or second closed region are searched, the extraction unit 602 is different from the two-dimensional drawing from which the first or second closed region is extracted. A shape corresponding to the first or second closed region is extracted from the dimension drawing. And the search part 603 searches the cross-sectional shape in which the cross-sectional shape when it sees from the same viewpoint as another two-dimensional drawing among several cross-sectional shapes corresponds with the extracted shape.

  Specifically, for example, it is assumed that a plurality of records having a cross-sectional shape that matches the shape of the first closed region C1 are searched from the internal work pattern DB 210. In this case, the extraction unit 602 extracts the shape S1 corresponding to the first closed region C1 from the right side view P2 different from the front view P1 from which the first closed region C1 is extracted. Thereafter, the search unit 603 identifies the viewpoint (right side surface) from the viewpoint information added to the right side view P2.

  Then, the search unit 603 searches for a cross-sectional shape that matches the shape S1 with the field item of the right side shape of the record group searched from the internal work pattern DB 210 as a search target. That is, when a plurality of cross-sectional shapes that coincide with the first closed region C1 are searched, the records are narrowed down by focusing on the cross-sectional shapes when viewed from other viewpoints.

  In the various databases 210 and 220, those in which the cross-sectional shapes set in the field items of the front view, right side view, left side view, top view, bottom view and back view completely match with other records are registered. Not to have been. Thereby, the part shape which the 1st or 2nd closed region expresses can be narrowed down to one from the combination of the cross-sectional shape seen from each viewpoint.

  The series of processing by the extraction unit 602 and the search unit 603 is repeatedly executed until there are no unextracted first and second closed regions that have not been extracted from the acquired two-dimensional drawing, for example. The retrieved search results are stored in the work pattern table 1000 shown in FIG.

  FIG. 10 is an explanatory diagram (part 1) illustrating an example of a work pattern table. In FIG. 10, the work pattern table 1000 has field items for work name, count number, work time, and total work time. Here, the work name is the name of the work for forming the part shape of the object. The count number is the number of operations. The work time is the time required for each work. The total work time is a work time (estimated result) required to create a three-dimensional drawing related to the part X.

  Specifically, when a part shape attribute (work name in this case) represented by the closed region is searched, the searched part shape attribute is set in the work name field item and stored as a new record. . If the same work name has been set, the numerical value set in the field item of the count number of the record is incremented.

  The work pattern table 1000 stores search results based on the two-dimensional drawings P1 to P3 regarding the part X. According to the work pattern table 1000, in order to create a three-dimensional drawing concerning the part X, the work of “long hole-penetration” is required twice, the work of “chamfering” is required four times, and the work of “sweep” is required twice. Become.

  Returning to the description of FIG. 6, the calculation unit 604 refers to the table that stores the attribute of the shape of the object and the work time required to form the shape in association with each other based on the searched result. It has a function to calculate the work man-hours required for creating the object. Specifically, for example, the calculation unit 604 refers to the work pattern table 1000 and the work time table 1100 illustrated in FIG. 11 and calculates the work man-hours required to create a three-dimensional drawing related to the part X.

  FIG. 11 is an explanatory diagram illustrating an example of a work time table. In FIG. 11, a work time table 1100 has field items for work name and work time. By setting information in each field item, information regarding the work time for each work is stored as a record.

  Here, taking “long hole-penetration” as an example, the work time required to form “long hole-penetration” on a three-dimensional drawing is 12 [minutes]. Taking “chamfering” as an example, the work time required to form “chamfering” on a three-dimensional drawing is 6 [minutes]. The work time set in the work time table 1100 is, for example, the past average work time taken for the worker to form a part shape using a CAD (Computer Aided Design) device.

  Specifically, for example, first, the calculation unit 604 refers to the work pattern table 1000 and specifies the work name and the count number of work required when creating a three-dimensional drawing related to the part X. Here, two “long hole-penetration” operations, four “chamfering” operations, and two “sweep” operations are specified.

  Thereafter, the calculation unit 604 refers to the work time table 1100 and multiplies the work time for each work by the count number to calculate the work time for each work. Here, the work time required for the work of “long hole-penetration” is 24 (= 12 × 2) [minutes], the work time required for the work of “chamfering” is 24 (= 6 × 4) [minutes], “sweep” The work time required for the work is 12 (= 6 × 2) [minutes].

  Finally, the calculation unit 604 adds the work time for each work and calculates the work man-hours required for creating a three-dimensional drawing for the part X. Here, the number of work steps for creating a three-dimensional drawing for the part X is 60 (= 24 + 24 + 12) [minutes]. The calculation result is stored in, for example, the work pattern table 1000 (see FIG. 12).

  Returning to the description of FIG. 6, the output unit 608 has a function of outputting the calculated work man-hours for creating the target object. Specifically, for example, the output unit 608 may output the work pattern table 1000 shown in FIG. According to the work pattern table 1000 shown in FIG. 12, the work pattern (work name and count number) can be recognized together with the result of estimating the work time required for creating the three-dimensional drawing for the part X.

  The output format includes, for example, display on the display 308, print output to the printer 313, and transmission to an external device via the I / F 309. Alternatively, the data may be stored in a storage area such as the RAM 303, the magnetic disk 305, and the optical disk 307.

  Further, the output unit 608 may output the searched cross-sectional shape attribute as a shape attribute represented by the closed region extracted from the two-dimensional drawing. Specifically, for example, the output unit 608 may output the work pattern table 1000 shown in FIG. According to the work pattern table 1000 shown in FIG. 10, it is possible to recognize a work pattern when creating a three-dimensional drawing related to the part X.

  The registration unit 605 has a function of registering a closed region that has not been searched in the database when a cross-sectional shape whose shape matches the extracted closed region is not searched. Specifically, for example, the registration unit 605 registers the non-searched first closed region and the shape corresponding to the first closed region in the special internal work pattern DB 1300 illustrated in FIG. 13 in association with the viewpoint. .

  FIG. 13 is an explanatory diagram showing an example of the contents stored in the special internal work pattern DB. In FIG. 13, the special internal work pattern DB 1300 includes field items of a special internal work name, a front shape, a right side shape, a left side shape, a top shape, a bottom shape, and a back shape. By setting information in each field item, information on the first closed region that has not been searched is stored as a record.

  Here, the special internal work name is the name of the work for forming the part shape represented by the first non-searched closed region. Specifically, for example, at the time of registration in the special internal work pattern DB 1300, any special internal work name (for example, J1, J2,...) That can uniquely identify the part shape is set.

  Also, the registration unit 605 registers the non-searched second closed region and the shape corresponding to the second closed region in the special external work pattern DB 1400 illustrated in FIG. 14 in association with the viewpoint.

  FIG. 14 is an explanatory diagram showing an example of the contents stored in the special external work pattern DB. In FIG. 14, the special external work pattern DB 1400 has field items of a special external work name, a front shape, a right side shape, a left side shape, a top shape, a bottom shape, and a back shape. By setting information in each field item, information regarding the second closed region that has not been searched is stored as a record.

  Here, the special external work name is a name of a work for forming a part shape represented by the second closed region that has not been searched. Specifically, for example, at the time of registration in the special external work pattern DB 1400, any special external work name (for example, K1, K2,...) That can uniquely identify the part shape is set.

  As a result, work that is not registered in the various databases 210 and 220 can be specified as special internal work or special external work. Furthermore, when the user confirms the contents stored in the special internal work pattern DB 1300 and identifies the contents of each special internal work, it can be registered as a new record in the internal work pattern DB 210.

  Similarly, when the user confirms the contents stored in the special external work pattern DB 1400 and identifies the contents of each special external work, it can be registered as a new record in the external work pattern DB 220. As a result, the part shape of the object can be more accurately identified, and the estimation accuracy can be improved.

  The deletion unit 606 has a function of deleting the closed region from the two-dimensional drawing as a result of extracting the closed region from the two-dimensional drawing. FIG. 15 is an explanatory diagram illustrating an example of deleting a closed region. As illustrated in FIG. 15, when the first closed region C1 is extracted from the front view P1, the deletion unit 606 deletes the first closed region C1 from the front view P1. Thereby, the state before the operation of creating the first closed region C1 in the front view P1 can be restored.

  The deletion unit 606 has a function of deleting the shape corresponding to the closed region from the other two-dimensional drawings as a result of extracting the shape corresponding to the closed region from the other two-dimensional drawings. Specifically, for example, the deletion unit 606 deletes the shape corresponding to the closed region from other two-dimensional drawings according to a pre-defined simplification rule.

  FIG. 16 is an explanatory diagram illustrating an example of deleting a shape corresponding to a closed region. As shown in FIG. 16, when the shape S5 is extracted from the front view P1, the deletion unit 606 simplifies the shape S5 according to the simplification rule, thereby changing the shape S5 from the front view P1. delete. The simplification rule is stored in association with the cross-sectional shapes in the various databases 210 and 220, for example. Hereinafter, an example of a specific procedure for simplification will be described.

  In FIG. 16, elements 1601 and 1602 (solid lines in the figure) are line segments designated as correction targets. An element 1603 (dotted line in the figure) is a line segment designated as a deletion target. An element 1604 is a vertex indicating the extended position of the line segment to be corrected.

  (I) The deletion unit 606 deletes the element 1603 designated as the deletion target from among the elements 1601 to 1603 constituting the shape S5. (Ii) The deletion unit 606 extends the line segment of the element 1601 designated as the correction target to the element 1604. (Iii) The deletion unit 606 extends the line segment of the element 1603 designated as the correction target to the element 1604. Thereby, the state before creating the shape S5 in the front view P1 can be restored.

  The creation unit 607 has a function of creating a two-dimensional drawing list representing a process of creating a two-dimensional drawing related to the object based on the deleted result. Specifically, for example, the creation unit 607 creates a two-dimensional drawing list by listing the two-dimensional drawings after deletion in which the closed region or the shape corresponding to the closed region is deleted from the two-dimensional drawing. To do.

  FIG. 17 is an explanatory diagram showing a specific example of a two-dimensional drawing list. In the two-dimensional drawing list 1700, (A) to (H) show the process of creating the two-dimensional drawings P1 to P3 related to the part X shown in FIG. In addition, the part name of part X and the total work time (estimated result) are added to the two-dimensional drawing list 1700. The two-dimensional drawing list 1700 is a list of the two-dimensional drawings P1 to P3 after deletion according to an order reverse to the deletion order.

  The output unit 608 outputs the created two-dimensional drawing list (for example, the two-dimensional drawing list 1700). Thereby, the creation process of the two-dimensional drawing regarding the object can be presented to the worker, and the working efficiency when newly creating the two-dimensional drawing can be improved. Note that the output unit 608 may output the two-dimensional drawing after deletion (the front view P1 after deletion shown in FIG. 16).

(Man-hour estimation processing procedure of the man-hour estimation device)
Next, the man-hour estimating process procedure of the man-hour estimating device 300 will be described. 18 to 20 are flowcharts illustrating an example of the man-hour estimating process procedure of the man-hour estimating device. In the flowchart of FIG. 18, first, the acquisition unit 601 determines whether a two-dimensional drawing for each viewpoint when the object is viewed from a plurality of viewpoints is acquired (step S1801).

  Here, after waiting for the acquisition of the two-dimensional drawing (step S1801: No), if it is acquired (step S1801: Yes), the extracting unit 602 selects any two-dimensional from the acquired two-dimensional drawings. A drawing is selected (step S1802). Then, the extraction unit 602 extracts the first closed region having the smallest area from the selected two-dimensional drawing (step S1803).

  Next, it is determined whether or not the first closed region has been extracted from the two-dimensional drawing (step S1804). Here, when the first closed region is extracted (step S1804: Yes), the search unit 603 specifies a viewpoint from the viewpoint information added to the selected two-dimensional drawing (step S1805).

  Thereafter, the search unit 603 matches the first closed region with the shape by searching for the field item of the shape when viewed from the identified viewpoint from the internal work pattern DB 210 or the special internal work pattern DB 1300. A cross-sectional shape is searched (step S1806).

  Next, it is determined whether or not a cross-sectional shape has been searched (step S1807). If a search has been made (step S1807: Yes), it is determined whether or not a plurality of cross-sectional shapes have been searched (step S1808). If a plurality of cross-sectional shapes are searched (step S1808: Yes), the first narrowing process is executed (step S1809).

  On the other hand, when one cross-sectional shape is searched (step S1808: No), the deletion unit 606 deletes the first closed region and the shape corresponding to the first closed region from the two-dimensional drawing. A deletion process is executed (step S1810). Then, the work name or special internal work name associated with the searched cross-sectional shape is registered in the work pattern table 1000 (step S1811), and the process returns to step S1803.

  If the cross-sectional shape is not searched in step S1807 (step S1807: No), the registration unit 605 uses the first closed region and the shape corresponding to the first closed region that are not searched as the viewpoint. The first registration processing to be associated and registered in the special internal work pattern DB 1300 is executed (step S1812), and the process proceeds to step S1810.

  If the first closed region is not extracted in step S1804 (step S1804: No), it is determined whether there is an unselected two-dimensional drawing that has not been selected from among a plurality of two-dimensional drawings ( Step S1813). If there is an unselected two-dimensional drawing (step S1813: Yes), the process returns to step S1802. On the other hand, when there is no unselected two-dimensional drawing (step S1813: No), the process proceeds to step S1901 shown in FIG.

  In the flowchart of FIG. 19, first, the extraction unit 602 selects an arbitrary two-dimensional drawing from a plurality of acquired two-dimensional drawings (step S1901). Then, the extraction unit 602 extracts the second closed region having the smallest area from the selected two-dimensional drawing (step S1902).

  Next, it is determined whether or not the second closed region has been extracted from the two-dimensional drawing (step S1903). Here, when the second closed region is extracted (step S1903: Yes), the search unit 603 identifies the viewpoint from the viewpoint information added to the selected two-dimensional drawing (step S1904).

  Thereafter, the search unit 603 matches the field shape of the second closed region with the shape as viewed from the specified viewpoint from the external work pattern DB 220 or the special external work pattern DB 1400. A cross-sectional shape is searched (step S1905).

  Then, it is determined whether or not a cross-sectional shape has been searched (step S1906). If a search has been made (step S1906: Yes), it is determined whether or not a plurality of cross-sectional shapes have been searched (step S1907). Here, when a plurality of cross-sectional shapes are searched (step S1907: Yes), the second narrowing process is executed (step S1908).

  On the other hand, when one cross-sectional shape is searched (step S1907: No), the deletion unit 606 deletes the second closed region and the shape corresponding to the second closed region from the two-dimensional drawing. A deletion process is executed (step S1909). Then, the work name or special external work name associated with the searched cross-sectional shape is registered in the work pattern table 1000 (step S1910), and the process returns to step S1902.

  If the cross-sectional shape is not searched in step S1906 (step S1906: No), the registration unit 605 uses the second closed region and the shape corresponding to the second closed region that are not searched as the viewpoint. A second registration process to be associated and registered in the special external work pattern DB 1400 is executed (step S1911), and the process proceeds to step S1909.

  If the second closed region is not extracted in step S1903 (step S1903: No), it is determined whether there is an unselected two-dimensional drawing that has not been selected among a plurality of two-dimensional drawings (step S1903: No). Step S1912). If there is an unselected two-dimensional drawing (step S1912: Yes), the process returns to step S1901. On the other hand, when there is no unselected two-dimensional drawing (step S1912: No), the process proceeds to step S2001 shown in FIG.

  In the flowchart of FIG. 20, first, the calculation unit 604 refers to the work pattern table 1000 to specify the work name and the count number of work required when creating a three-dimensional drawing related to the object (step S2001). . Thereafter, the calculation unit 604 calculates a work time for each work with reference to the work time table 1100 (step S2002).

  Then, the calculation unit 604 adds the calculated work time for each work to calculate the total work time required to create the three-dimensional drawing for the part X (step S2003) and registers it in the work pattern table 1000 (step S2003). Step S2004). Finally, the output unit 608 outputs the work pattern table 1000 (step S2005), and ends the series of processing according to this flowchart.

<First narrowing process>
Next, a specific processing procedure of the first narrowing-down process in step S1809 shown in FIG. 18 will be described. FIG. 21 is a flowchart illustrating an example of a specific processing procedure of the first narrowing processing. In FIG. 21, first, the extraction unit 602 selects another two-dimensional drawing different from the two-dimensional drawing selected in step S1802 shown in FIG. 18 (step S2101).

  Thereafter, the extraction unit 602 extracts a shape corresponding to the first closed region from the other selected two-dimensional drawings (step S2102). Then, the extraction unit 602 identifies the viewpoint from the viewpoint information added to the other selected two-dimensional drawing (step S2103).

  Next, a field item of a shape when viewed from the specified viewpoint among a plurality of cross-sectional shape records searched from the internal work pattern DB 210 or the special internal work pattern DB 1300 by the search unit 603 is set as a search target. Then, a cross-sectional shape that matches the extracted shape is searched (step S2104).

  Thereafter, it is determined whether or not a plurality of cross-sectional shapes have been searched (step S2105). If a plurality of cross-sectional shapes have been searched (step S2105: Yes), the process returns to step S2101. On the other hand, when one cross-sectional shape is searched (step S2105: No), the process proceeds to step S1810 shown in FIG.

  Note that the specific processing procedure of the second narrowing process of step S1908 shown in FIG. 19 is the same as the specific processing procedure of the first narrowing process shown in the flowchart of FIG.

<First deletion process>
Next, a specific processing procedure of the first deletion processing in step S1810 shown in FIG. 18 will be described. FIG. 22 is a flowchart illustrating an example of a specific processing procedure of the first deletion processing. 22, first, the deletion unit 606 deletes the first closed region extracted in step S1803 from the two-dimensional drawing selected in step S1801 shown in FIG. 18 (step S2201).

  Thereafter, it is determined whether or not the shape corresponding to the first closed region extracted from the selected two-dimensional drawing has been extracted from the other two-dimensional drawings (step S2202). If not extracted (step S2202: NO), another two-dimensional drawing different from the selected two-dimensional drawing is selected (step S2203).

  Then, the extraction unit 602 extracts a shape corresponding to the first closed region from the other selected two-dimensional drawings (step S2204). Next, it is determined whether there is an unselected two-dimensional drawing that has not been selected (step S2205). If there is an unselected two-dimensional drawing (step S2205: Yes), the process returns to step S2203.

  On the other hand, when there is no unselected two-dimensional drawing (step S2205: No), the deletion unit 606 deletes the shape corresponding to the first closed region from the other two-dimensional drawings (step S2206). Control proceeds to step S1811 shown in FIG.

  Note that the specific processing procedure of the second deletion processing in step S1909 shown in FIG. 19 is the same as the specific processing procedure of the first deletion processing shown in the flowchart of FIG.

<First registration process>
Next, a specific processing procedure of the first registration processing in step S1812 shown in FIG. 18 will be described. FIG. 23 is a flowchart illustrating an example of a specific processing procedure of the first registration processing. 23, first, the extraction unit 602 selects another two-dimensional drawing different from the two-dimensional drawing selected in step S1801 shown in FIG. 18 (step S2301).

  Then, the extraction unit 602 extracts a shape corresponding to the first closed region from the other selected two-dimensional drawings (step S2302). Next, it is determined whether there is an unselected two-dimensional drawing that has not been selected (step S2303). If there is an unselected two-dimensional drawing (step S2203: Yes), the process returns to step S2301.

  On the other hand, when there is no unselected two-dimensional drawing (step S2303: No), the registration unit 605 sets an arbitrary special internal work name, and the first closed region and the first closed region extracted from each two-dimensional drawing. The shape corresponding to one closed region is associated with the viewpoint and registered in the special internal work pattern DB 1300 (step S2304), and the process proceeds to step S1810 shown in FIG.

  Note that the specific processing procedure of the second registration processing in step S1911 shown in FIG. 19 is the same as the specific processing procedure of the first registration processing shown in the flowchart of FIG.

(Progress rate of 3D drawing in progress)
Next, a description will be given of a method for obtaining the progress rate of a three-dimensional drawing that is in the process of being created with respect to an object, using a two-dimensional drawing list that represents the creation process of the two-dimensional drawing. Here, the case where the progress rate of the three-dimensional drawing in the middle of creation related to the part X is obtained will be described as an example.

  When obtaining the progress rate of a three-dimensional drawing that is being created for an object, a two-dimensional drawing list for an object that is the same as or similar to the object is used. Therefore, when obtaining the progress rate of the three-dimensional drawing related to the part X, for example, the two-dimensional drawing list 1700 shown in FIG. 17 is used.

  FIG. 24 is an explanatory diagram illustrating an example of a two-dimensional drawing that is being created. In FIG. 24, a front view Q1, a right side view Q2, and a bottom view Q3 are two-dimensional drawings obtained by two-dimensionalizing a three-dimensional drawing in the middle of creation related to the part X. Here, the progress rate of the three-dimensional drawing being created is obtained using the two-dimensional drawings Q1 to Q3 obtained by converting the three-dimensional drawing into two dimensions. Hereinafter, the progress rate calculation processing procedure will be described with reference to FIG. In the two-dimensional drawings Q1 to Q3, the part name of the part X that is the object is added.

  FIG. 25 is a flowchart illustrating an example of the progress rate calculation processing procedure. In the flowchart of FIG. 25, first, the acquisition unit 601 acquires two-dimensional drawings Q1 to Q3 that are in the process of being created for the part X (step S2501).

  Thereafter, the acquisition unit 601 acquires a two-dimensional drawing list representing a process of creating a two-dimensional drawing related to an object that is the same as or similar to the part X (step S2502). Specifically, for example, the acquisition unit 601 reads the two-dimensional drawing list 1700 from the storage device by using the part name of the part X added to the two-dimensional drawings Q1 to Q3.

  Next, the calculation unit 604 refers to the two-dimensional drawing list 1700 to specify the creation stage of the two-dimensional drawings Q1 to Q3 being created (step S2503). Specifically, for example, the creation stage (F) is specified by performing a coincidence determination between the two-dimensional drawings P1 to P3 in the two-dimensional drawing list 1700 and the two-dimensional drawings Q1 to Q3 being created.

  Then, the calculation unit 604 specifies the remaining work required until the two-dimensional drawing related to the part X is completed (step S2504). Here, the work of “long hole-penetration” is required twice. Next, the calculation unit 604 refers to the work time table 1100, and calculates the remaining work time required for performing the “long hole-penetration” work twice (step S2505). Here, 24 (= 12 × 2) [minutes].

  Thereafter, the calculation unit 604 calculates the progress rate of the two-dimensional drawings Q1 to Q3 based on the total work time added to the two-dimensional drawing list 1700 and the remaining work time (step S2506). Here, 40 (= (60−36) / 60 × 100) [%]. Finally, the output unit 608 outputs the progress rates of the two-dimensional drawings Q1 to Q3 being created (step S2507).

  As described above, the progress rate of the three-dimensional drawing in the middle of the creation of the object can be obtained by using the two-dimensional drawing list representing the creation process of the two-dimensional drawing. Specifically, the progress rate of the three-dimensional drawing is obtained by converting the three-dimensional drawing being created into a two-dimensional drawing and specifying the creation stage of the two-dimensional drawing being created.

  As described above, according to the disclosed technique, a closed region is extracted from a two-dimensional drawing of an object, and the matching is determined from the same viewpoint as the cross-sectional shapes stored in the various databases 210 and 220. The shape of the region can be clarified.

  Further, according to the disclosed technology, when a plurality of cross-sectional shapes are searched, a shape corresponding to the closed region is extracted from other two-dimensional drawings, and the cross-sectional shapes stored in the various databases 210 and 220 are extracted. By determining coincidence from the same viewpoint, the shape of the closed region can be narrowed down.

  Thus, in this indication technique, the three-dimensional shape which a subject has can be specified from the combination of the section shape seen from a plurality of viewpoints. Thereby, it is possible to accurately identify a work pattern necessary for creating a three-dimensional drawing relating to the object and processing the object, and to accurately estimate the work man-hours.

  In addition, according to the disclosed technology, the closed region extracted from the two-dimensional drawing and the shape corresponding to the closed region are deleted from the two-dimensional drawing, thereby restoring the creation process of the two-dimensional drawing. can do.

  Further, according to the disclosed technology, it is possible to create a two-dimensional drawing list representing a process of creating a two-dimensional drawing related to an object by listing the two-dimensional drawings after deletion. Furthermore, by presenting the 2D drawing list to the operator, it is possible to improve work efficiency when creating a new 2D drawing.

  The man-hour estimation support method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The man-hour estimation support program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The man-hour estimation support program may be distributed through a network such as the Internet.

  The following additional notes are disclosed with respect to the embodiment described above.

(Supplementary Note 1) A computer that can access a database that associates and stores an attribute of a shape of an object and a cross-sectional shape for each viewpoint when the shape is viewed from a plurality of viewpoints.
An acquisition means for acquiring a two-dimensional drawing when an object to be estimated for man-hours is viewed from the viewpoint;
Extraction means for extracting a closed region from the two-dimensional drawing acquired by the acquisition means;
The cross-sectional shape when the cross-sectional shape that matches the shape of the closed region extracted by the extracting unit is viewed from the same viewpoint as the two-dimensional drawing from which the closed region is extracted, among the cross-sectional shapes stored in the database Search means to search from within,
Output means for outputting the attribute of the cross-sectional shape searched by the search means as the attribute of the shape represented by the closed region;
A man-hour estimation support program characterized by functioning as

(Supplementary Note 2) The extraction means includes:
When a plurality of cross-sectional shapes having the same shape as the closed region are searched, a shape corresponding to the closed region is extracted from another two-dimensional drawing different from the two-dimensional drawing from which the closed region is extracted,
The search means includes
The cross-sectional shape of the plurality of cross-sectional shapes when viewed from the same viewpoint as the other two-dimensional drawings is searched for a cross-sectional shape that matches the shape corresponding to the closed region. Effort estimation support program.

(Appendix 3)
Based on the search result searched by the search means, referring to a table storing the attribute of the shape possessed by the object and the work time required to form the shape, the creation of the object is performed. It functions as a calculation means for calculating work man-hours,
The output means includes
The man-hour estimation support program according to appendix 1 or 2, wherein the man-hour for the creation of the object calculated by the calculation means is output.

(Appendix 4)
As a result of extracting the closed region from the two-dimensional drawing, function as a deletion means for deleting the closed region from the two-dimensional drawing,
The output means includes
The man-hour estimation support program according to any one of appendices 1 to 3, wherein the deleted two-dimensional drawing deleted by the deleting unit is output.

(Supplementary note 5)
As a result of extracting the shape corresponding to the closed region from the other two-dimensional drawing, function as a deletion unit that deletes the shape corresponding to the closed region from the other two-dimensional drawing,
The output means includes
The man-hour estimation support program according to any one of appendices 2 to 4, wherein the deleted two-dimensional drawing deleted by the deleting unit is output.

(Appendix 6) The deletion means
The man-hour estimation support program according to appendix 5, wherein a shape corresponding to the closed region is deleted from the other two-dimensional drawing according to a simplified rule defined in advance.

(Appendix 7)
Based on the deletion result deleted by the deletion unit, function as a creation unit for creating a two-dimensional drawing list representing a creation process of a two-dimensional drawing related to the object,
The output means includes
The man-hour estimation support program according to any one of appendices 4 to 6, wherein the two-dimensional drawing list created by the creating means is output.

(Additional remark 8) The memory | storage means which associates and memorize | stores the attribute of the shape which an object has, and the cross-sectional shape for every said viewpoint when the said shape is seen from several viewpoints,
An acquisition means for acquiring a two-dimensional drawing when an object to be estimated for work man-hours is viewed from the viewpoint;
Extraction means for extracting a closed region from the two-dimensional drawing acquired by the acquisition means;
A cross-section when the cross-sectional shape that matches the shape of the closed region extracted by the extraction unit is viewed from the same viewpoint as the two-dimensional drawing from which the closed region is extracted, among the cross-sectional shapes stored by the storage unit Search means for searching from shapes;
Output means for outputting the attribute of the cross-sectional shape searched by the search means as the attribute of the shape represented by the closed region;
A man-hour estimation support device comprising:

(Supplementary note 9) A computer comprising storage means and control means is provided.
An acquisition step of acquiring a two-dimensional drawing when an object to be estimated for work man-hours is viewed from the viewpoint, and storing it in the storage means;
An extraction step of extracting a closed region from the two-dimensional drawing acquired by the acquisition step by the control unit, and storing the extracted region in the storage unit;
The cross-sectional shape having the same shape as the closed region extracted by the extraction step by the control means is associated with the shape attribute of the object and the cross-sectional shape for each viewpoint when the shape is viewed from a plurality of viewpoints. A search step of searching from the cross-sectional shapes stored in the database stored in the storage unit and searching from the cross-sectional shapes when viewed from the same viewpoint as the two-dimensional drawing from which the closed region is extracted; ,
An output step of outputting the attribute of the cross-sectional shape searched by the search step as the attribute of the shape represented by the closed region by the control means;
The man-hour estimation support method characterized by performing this.

210 Internal work pattern DB
220 External work pattern DB
300 man-hour estimation device 601 acquisition unit 602 extraction unit 603 search unit 604 calculation unit 605 registration unit 606 deletion unit 607 creation unit 608 output unit P1-P3, Q1-Q3 two-dimensional drawing

Claims (8)

A computer that can access a database that stores an attribute of a shape of an object in association with a cross-sectional shape for each viewpoint when the shape is viewed from a plurality of viewpoints.
An acquisition means for acquiring a two-dimensional drawing when an object to be estimated for man-hours is viewed from the viewpoint;
Extraction means for extracting a closed region from the two-dimensional drawing acquired by the acquisition means;
The cross-sectional shape when the cross-sectional shape that matches the shape of the closed region extracted by the extracting unit is viewed from the same viewpoint as the two-dimensional drawing from which the closed region is extracted, among the cross-sectional shapes stored in the database Search means to search from within,
Output means for outputting the attribute of the cross-sectional shape searched by the search means as the attribute of the shape represented by the closed region;
A man-hour estimation support program characterized by functioning as The extraction means includes
When a plurality of cross-sectional shapes having the same shape as the closed region are searched, a shape corresponding to the closed region is extracted from another two-dimensional drawing different from the two-dimensional drawing from which the closed region is extracted,
The search means includes
2. The cross-sectional shape of the plurality of cross-sectional shapes when viewed from the same viewpoint as the other two-dimensional drawing is searched for a cross-sectional shape that matches a shape corresponding to the closed region. Man-hour estimation support program. The computer,
Based on the search result searched by the search means, referring to a table storing the attribute of the shape possessed by the object and the work time required to form the shape, the creation of the object is performed. It functions as a calculation means for calculating work man-hours,
The output means includes
The man-hour estimation support program according to claim 1 or 2, wherein the man-hours for the creation of the object calculated by the calculation means are output. The computer,
As a result of extracting the closed region from the two-dimensional drawing, function as a deletion means for deleting the closed region from the two-dimensional drawing,
The output means includes
The man-hour estimation support program according to any one of claims 1 to 3, wherein the deleted two-dimensional drawing deleted by the deleting unit is output. The computer,
As a result of extracting the shape corresponding to the closed region from the other two-dimensional drawing, function as a deletion unit that deletes the shape corresponding to the closed region from the other two-dimensional drawing,
The output means includes
The man-hour estimation support program according to any one of claims 2 to 4, wherein the deleted two-dimensional drawing deleted by the deleting unit is output. The computer,
Based on the deletion result deleted by the deletion unit, function as a creation unit for creating a two-dimensional drawing list representing a creation process of a two-dimensional drawing related to the object,
The output means includes
6. The man-hour estimation support program according to claim 4, wherein the two-dimensional drawing list created by the creating means is output. Storage means for associating and storing an attribute of a shape of an object and a cross-sectional shape for each viewpoint when the shape is viewed from a plurality of viewpoints;
An acquisition means for acquiring a two-dimensional drawing when an object to be estimated for work man-hours is viewed from the viewpoint;
Extraction means for extracting a closed region from the two-dimensional drawing acquired by the acquisition means;
A cross-section when the cross-sectional shape that matches the shape of the closed region extracted by the extraction unit is viewed from the same viewpoint as the two-dimensional drawing from which the closed region is extracted, among the cross-sectional shapes stored by the storage unit Search means for searching from shapes;
Output means for outputting the attribute of the cross-sectional shape searched by the search means as the attribute of the shape represented by the closed region;
A man-hour estimation support device comprising: A computer comprising storage means and control means,
An acquisition step of acquiring a two-dimensional drawing when an object to be estimated for work man-hours is viewed from the viewpoint, and storing it in the storage means;
An extraction step of extracting a closed region from the two-dimensional drawing acquired by the acquisition step by the control unit, and storing the extracted region in the storage unit;
The cross-sectional shape having the same shape as the closed region extracted by the extraction step by the control means is associated with the shape attribute of the object and the cross-sectional shape for each viewpoint when the shape is viewed from a plurality of viewpoints. A search step of searching from the cross-sectional shapes stored in the database stored in the storage unit and searching from the cross-sectional shapes when viewed from the same viewpoint as the two-dimensional drawing from which the closed region is extracted; ,
An output step of outputting the attribute of the cross-sectional shape searched by the search step as the attribute of the shape represented by the closed region by the control means;
The man-hour estimation support method characterized by performing this.

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