JP2018024502A - Elevator machine room drawing generation device, elevator machine room modeling data generation device, elevator machine room drawing generation method, and elevator machine room modeling data generation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To output a falling position of a rope of a hoist in an elevator machine room.SOLUTION: An elevator machine room drawing generation device 100 comprises: a component recognition part 202 for recognizing an installed object which at least includes a hoist of a rope installed in the elevator machine room, from three-dimensional measurement data obtained by measuring the elevator machine room which is a drawing generation object by a three-dimensional measurement device; a rope falling position calculation part 203 for calculating a relative coordinate of a rope falling position where the rope wound by the hoist crosses a floor face of the elevator machine room to the hoist, by applying three-dimensional measurement data of the recognized hoist to known specification value information indicating relative positions of the hoist and the rope falling position; and a drawing generation part 204 for generating at least one of a plan view and a cross section of the elevator machine room in which the rope falling position is drawn, on the basis of the calculated rope falling position.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an elevator machine room drawing generation device, an elevator machine room modeling data generation device, an elevator machine room drawing generation method, and an elevator machine room modeling data generation method, and in particular, three-dimensional data acquired by three-dimensional measurement of an elevator machine room. The present invention relates to a technique for calculating and outputting a rope position that does not appear in measurement data in a measurement point group with high accuracy.

  As a background art of this technical field, there is Patent Document 1. This gazette has the problem of “providing a point cloud data processing method, processing device, processing program and recording medium capable of efficiently performing a point cloud grouping process”. The apparatus is a processing device for grouping point cloud data representing the shape of the outer surface of a plurality of three-dimensional objects for each three-dimensional object, and has storage means and control means. The point cloud data, which is a set of point data, and the two-dimensional graphic data representing the contour shape of at least one three-dimensional object as a two-dimensional closed graphic are stored in advance. Dimensional figure data is acquired, and point data contained in the point cloud data is selected by selecting the point data contained in the area generated by extruding the two-dimensional figure data in the normal direction. It performs a process of grouping. "It has been described.

  Further, Patent Document 2 has an object of “providing a technique capable of automatically generating an installation drawing including dimensions between elevator structures”, and as a means for solving the problem, “an installation drawing generation device is a three-dimensional measurement”. A storage unit that stores measurement point group information indicating a point group, and feature information that indicates the characteristics of a structure constituting the elevator, a three-dimensional model generation unit that generates a three-dimensional model from the measurement point group information, and 3 A structure classifying unit that classifies the three-dimensional model into each structure, a distance calculation unit that calculates a distance between the three-dimensional models of the classified structure, and the classified structure From the three-dimensional model and the calculated distance, an installation drawing generation unit that generates an installation drawing of an elevator is included.

JP 2013-97489 A Japanese Patent Laid-Open No. 2006-79009

  The point cloud data processing method of Patent Document 1 is a method of generating a three-dimensional model by using a two-dimensional drawing as an input, and cannot be applied in an environment without a two-dimensional drawing.

  The technique of Patent Document 2 is a technique for generating an elevator installation diagram based on measurement point group information. By applying this technology, it is considered that an installation drawing in the machine room can be generated, but there is a problem that the rope dropping position important for calculating the positional relationship between the hoistway and the machine room does not appear in the measurement data.

  Therefore, the present invention has been made to solve the above-described problems, and an object thereof is to provide a technique for outputting a rope dropping position of a hoisting machine in an elevator machine room.

  In order to solve the above problems, for example, the configuration described in the claims is adopted. The present application includes a plurality of means for solving the above-mentioned problems. If an example is given, based on the three-dimensional measurement data obtained by measuring the elevator machine room to be a drawing generation target with a three-dimensional measurement device, In the elevator machine room drawing generation device for generating the drawing of the elevator machine room, a data reading unit for reading the three-dimensional measurement data obtained by measuring the elevator machine room as a drawing generation target with the three-dimensional measurement device; From the measurement data, a component recognition unit that recognizes an installation including at least a rope hoist installed in the elevator machine room, and a rope that is wound up by the hoist crosses the floor of the elevator machine room. Relative coordinates of a rope dropping position with respect to the hoisting machine are known specification value information indicating a relative position between the hoisting machine and the rope dropping position. FIG. 3 is a plan view of the elevator machine room in which the rope dropping position is drawn based on the rope dropping position calculated based on the rope dropping position calculated by applying the recognized three-dimensional measurement data of the hoisting machine. And a drawing generation unit for generating at least one of the cross-sectional views.

  ADVANTAGE OF THE INVENTION According to this invention, the technique which produces | generates the drawing containing the dropping position of the rope of a hoisting machine based on the three-dimensional measurement data of an elevator machine room can be provided. The purpose, composition, and effect other than those described above will be clarified in the following description.

The figure which shows an example of a structure of the elevator machine room drawing production | generation apparatus which concerns on 1st embodiment. The figure which shows an example of the processing flow of an elevator machine room drawing production | generation process Diagram showing an example of measurement point cloud data The figure which shows an example of the three-dimensional display of measurement point cloud data The figure which shows an example of parts recognition result data Diagram showing an example of rope drop position data The figure which shows an example of the processing flow of component recognition processing The figure which shows an example of the result of recognizing a floor surface, a ceiling surface, and a wall surface Diagram showing an example of recognizing a beam Diagram showing an example of cluster data to be temporarily saved A diagram showing an example of the cluster split result The figure which shows an example of the processing flow of a rope drop position recognition process The figure which shows an example of the processing flow of the drawing production | generation process which concerns on 1st embodiment. The figure which shows an example of the processing flow of the top view production | generation process which concerns on 1st embodiment. The figure which shows an example of the processing flow of sectional drawing production | generation process which concerns on 1st embodiment. The figure which shows an example of the top view output concerning 1st embodiment The figure which shows an example of the sectional drawing output concerning 1st embodiment The figure which shows an example of the output screen which concerns on 1st embodiment The figure which shows an example of a structure of the elevator machine room drawing production | generation apparatus which concerns on 2nd embodiment. The figure which shows an example of the table item of a BIM database The figure which shows an example of the table item of BIM data search result data The figure which shows an example of the process which outputs the BIM data of an elevator machine room The figure which shows an example of the flow of a BIM data search process

  Hereinafter, embodiments will be described with reference to the drawings. Note that components having the same function are denoted by the same reference symbols throughout the drawings for describing the embodiment, and the repetitive description thereof will be omitted.

<First embodiment>
1st embodiment demonstrates the example of the drawing production | generation apparatus which outputs the drawing of an elevator machine room based on a three-dimensional measurement point group.

[System configuration]
FIG. 1 shows a configuration example including an elevator machine room drawing generation device 100 and peripheral devices constituting a drawing generation system 1 applied in the present embodiment. The entire drawing generation system 1 includes an elevator machine room drawing generation device 100, an input / output device 140, and a three-dimensional measurement device 150. A user (such as a field researcher) uses the function of the elevator machine room drawing generation apparatus 100 through operation of the input / output device 140. The elevator machine room drawing generation apparatus 100 can be configured by a general computer (PC, server, etc.), and realizes this characteristic processing function (each processing unit of the processing apparatus 110) by software program processing, for example.

  The elevator machine room drawing generation apparatus 100 includes a processing device 110, a storage device 120, and an input / output I / F (interface) device 130. The input / output device 140 is connected to the input / output I / F device 130. A three-dimensional measuring device 150 is connected to the input / output device 140.

  The input / output device 140 is an input device for inputting a measurement point group or the like or an output device for outputting an elevator machine room drawing or the like by a user operation. For example, a keyboard, a mouse, a display, a printer, a smartphone, a tablet PC and so on.

  The input / output I / F device 130 is a part that performs interface control (peripheral device control) processing such as data exchange with the input / output device 140.

  The three-dimensional measurement device 150 is a measurement device that acquires the shape of a structure around the measurement point as point cloud data. The input / output device 140 and a physical medium such as a general wireless network, a wired network, or a memory card are used. Connect through. In the drawing generation system 1, the processing device 110 performs processing using the data stored in the storage device 120, and the input / output I / F device 130 executes interface control processing. A graphical user interface (GUI) is configured and various types of information are displayed.

  The processing device 110 is configured by known elements such as a CPU, a RAM, and a ROM. The processing device 110 is a part that performs processing for realizing this characteristic function, and includes a data reading unit 201, a component recognition unit 202, a rope drop position calculation unit 203, a drawing generation unit 204, and a result output unit 205.

  Although not shown, the elevator machine room drawing generation apparatus 100 has known elements such as an OS, middleware, and applications, and has an existing processing function for displaying a GUI screen on the input / output device 140 such as a display. Prepare. The processing device 110 performs processing for drawing and displaying a predetermined screen, processing of data information input by the user on the screen, and the like using the above-described existing processing function. Therefore, the data reading unit 201, the component recognition unit 202, the rope drop position calculation unit 203, the drawing generation unit 204, and the result output unit 205 are also configured to include software that implements the functions of the respective units, and these software constitute the processing device 110. It is configured by being loaded into a RAM and executed by a CPU which is one of the hardware to be executed.

  The storage device 120 is configured by known elements such as an HDD and an SSD, for example, and includes a measurement point group storage unit 301, a component recognition result storage unit 302, a rope drop position storage unit 303, and an output drawing storage unit 304. It is the structure which has corresponding data information (for example, a database and a table).

  The measurement point group storage unit 301 is input information used to realize this characteristic function in the processing device 110, and is based on the measurement point group acquired by the three-dimensional measurement device 150 via the input / output device 140. This is a part for storing the group data 4100 (see FIG. 3).

  The component recognition result storage unit 302 is a part that stores component recognition result data 4200 (see FIG. 5) that is an output of the component recognition unit 202.

  The rope drop position storage unit 303 is a part that stores rope drop position data 4300 (see FIG. 6) that is an output of the rope drop position calculation unit 203.

  The output drawing storage unit 304 is a part that stores a plan view 103 and a cross-sectional view 104 (see FIG. 18) as output drawing data that is an output of the drawing generation unit 204. In the present embodiment, for convenience of explanation, the plan view 103 and the cross-sectional view 104 are described as examples of the output drawing data. It may be cluster data obtained by adding the coordinates of the rope drop position to the data 4400 (see FIG. 10).

[flowchart]
FIG. 2 is an example of a flowchart of processing for automatically outputting an elevator machine room drawing based on three-dimensional measurement data.

  (S101) The data reading unit 201 acquires the three-dimensional measurement data input by the user through the input / output device 140, and stores the measurement point group data in accordance with the format of the measurement point group data 4100 in the measurement point group storage unit 301. Stored in the unit 301.

  (S102) The component recognition unit 202 calculates the component recognition result data 4200 using the measurement point group data 4100 stored in the measurement point group storage unit 301, and stores it in the component recognition result storage unit 302. Details of step S102 will be described later.

  (S103) The rope drop position calculation unit 203 uses the measurement point group data 4100 stored in the measurement point group storage unit 301 and the component recognition result data 4200 stored in the component recognition result storage unit 302 to drop the rope. Position data 4300 is generated and stored in the rope drop position storage unit 303. Details of step S103 will be described later.

  (S104) The drawing generation unit 204 includes measurement point group data 4100 stored in the measurement point group storage unit 301, component recognition result data 4200 stored in the component recognition result storage unit 302, and a rope drop position storage unit. Using the rope drop position data 4300 stored in 303, a plan view 103 and a sectional view 104 as output drawing data are generated and stored in the output drawing storage unit 304. Details of this step S104 will be described later.

  (S105) The plan view 103 and the sectional view 104 are displayed on the GUI shown in FIG.

[Measurement data]
FIG. 3 is a table example of measurement point group data 4100 stored in the measurement point group storage unit 301. The table of the measurement point group data 4100 has a vertex ID 4101 that uniquely identifies the vertex, and an X coordinate 4102, a Y coordinate 4103, and a Z coordinate 4104 of the measurement point to which the vertex ID is assigned. On the vertical axis of the table, vertices of measurement points obtained by three-dimensional measurement are arranged. FIG. 3 shows the minimum information for uniquely identifying one point in the three-dimensional space. In addition to this, information such as the luminance at each measurement point, the reflection intensity of the laser, and the color. May be used. Further, the measurement point group data may be measurement data obtained by one measuring instrument or data obtained by aligning the coordinates of measurement data obtained from a plurality of measuring instruments.

  FIG. 4 shows an example of points obtained by plotting measurement point group data on a three-dimensional space. When the measurement point cloud data is plotted, geometric shapes such as surfaces and rectangular parallelepipeds can be read. In the subsequent processing, the geometrical shape of the plotted point cloud is installed in any parts (floor, ceiling, beam, etc.) in the actual elevator machine room, as well as hoisting machines and control panels installed in the machine room. And a rope drop position that is not included in the measurement point cloud data is calculated. Here, the dropping position of the rope means the intersection of the floor of the machine room and the rope. The reason why the rope drop position is not included in the measurement point group data is that the rope drop position falls within the blind spot of the rope hoist when viewed from the three-dimensional measurement device 150.

[Part recognition result data]
FIG. 5 is a table example of the component recognition result data 4200 stored in the component recognition result storage unit 302. The table of the component recognition result data 4200 includes a component ID 4201, a component type 4202, a shape type 4203, and an inclusion vertex ID 4204. The part type 4202 is a part type recognized by the elevator machine room drawing generation apparatus 100, and is, for example, a floor (PLANE), a beam (CEILING JOIST), a hoisting machine (TRAACTION), or the like. The shape type 4203 indicates the shape of the part, and is, for example, a plane (PLANE), a rectangular parallelepiped (CUBOID), a complex shape (COMPLEX SHAPE), or the like. The inclusion vertex ID 4204 is a set of vertex IDs 4101 belonging to each component. The recognized parts are arranged on the vertical axis of the table. In FIG. 4, the example which recognized the floor, the beam, and the hoisting machine is shown.

[Rope drop position data]
FIG. 6 is a table example of rope drop position data 4300 stored in the rope drop position storage unit 303. The table of rope drop position data 4300 has a hoisting machine part ID 4301, a rope drop position relative coordinate A4302, and a rope drop position relative coordinate B4303. The hoisting machine part ID is a part ID in which the part type 4202 corresponds to the hoisting machine among the part ID 4201. Rope drop position relative coordinate A4302 is one of the relative coordinates seen from the coordinate system of the hoisting machine parts at the point where the rope and the floor intersect, and the rope drop position relative coordinate B4303 intersects the rope and the floor. It is the other of the relative coordinates seen from the coordinate system of the hoisting machine part of the point. The recognized hoisting machine part IDs are arranged on the vertical axis of the table. The rope drop position relative coordinate A4302 and the rope drop position relative coordinate B4303 are obtained by the rope drop position calculation process performed by the rope drop position calculation unit 203, and details thereof will be described later.

[Part recognition processing]
FIG. 7 is an example of a flowchart executed by the component recognition unit 202. Hereinafter, this flowchart will be described.

  (S201) The component recognizing unit 202 recognizes the floor surface and the ceiling surface using all data of the measurement point cloud data 4100 stored in S101, and stores it in the component recognition result data 4200. Various methods are conceivable as processing for recognizing the floor surface and the ceiling surface. As an example, a plane is detected using a RANSAC (RANdom SAmpling Consensus) algorithm, and two planes perpendicular to the Z axis are detected. Are the floor and ceiling, respectively.

  (S202) The component recognition unit 202 recognizes a wall surface using vertices that are not included in the included vertex ID 4204 in the component recognition result data 4200 in the measurement point cloud data 4100 stored in S101, and recognizes the component recognition result data. Store in 4200. Various methods are conceivable as processing for recognizing a wall surface. As an example, a plane is detected using the RANSAC algorithm, and the length of the plane parallel to the Z axis and in the Z axis direction is the floor surface. And a process of determining a plane equal to the distance between the ceiling and the ceiling as a wall.

  FIG. 8 shows an example in which the floor surface, ceiling surface, and wall surface are recognized with respect to the measurement point cloud data example of FIG. In FIG. 8, G101 indicates a floor surface, G102 indicates a ceiling surface, and G103 to G106 indicate wall surfaces.

  (S203) The component recognition unit 202 recognizes the beam using the vertices not included in the inclusion vertex ID 4204 in the component recognition result data 4200 in the measurement point cloud data 4100 stored in S101, and recognizes the component recognition result data. Store in 4200. Since beams appearing in the machine room generally have a rectangular parallelepiped shape, it is possible to recognize the beams by searching for a rectangular parallelepiped adjacent to the ceiling surface. Here, as a method of searching for a rectangular parallelepiped, a method of detecting a plane using the RANSAC algorithm and finding a combination of adjacent and vertical planes can be considered.

  FIG. 9 shows an example in which a beam is recognized with respect to the measurement point cloud data example of FIG. FIG. 9 shows an example in which five beams G201 to G205 are recognized.

  (S204) The component recognition unit 202 uses the Euclidean Clustering algorithm by using vertices that are not included in the inclusion vertex ID 4204 in the component recognition result data 4200 in the measurement point cloud data 4100 stored in S101. To classify into clusters. The Euclidean Clustering algorithm is an example of an algorithm that classifies neighboring points into the same cluster. The classified result is temporarily stored in the cluster data 4400 shown in FIG. FIG. 11 shows an example of a cluster in which the process of this step is applied to the measurement point cloud data of FIG. G101 is the same as the floor surface recognized in FIG. 8, and shows an example in which G101 to G306 are classified into clusters.

  Thereafter, in the loop processing from S205 to S208, the processing of S206 and S207 is executed for all clusters.

  (S206) The component recognition unit 202 determines whether the cluster is a hoisting machine, and stores the cluster determined to be the hoisting machine in the component recognition result data 4200. The condition for determining the hoisting machine is that the size of the rectangular parallelepiped (also called the bounding box) that is adjacent to the floor and covers the parts is more than a certain size (greater than the size of the rectangular parallelepiped containing the hoist), and to some extent from the floor. Within a distance (within the height of the hoisting machine, or a height with a margin added) having a plane that becomes the upper surface of the machine beam. For example, in FIG. 11, the cluster of the hoisting machine corresponds to G301.

  (S207) The component recognition unit 202 determines whether the cluster is a board, and stores the cluster determined to be a board in the part recognition result data 4200. The condition for determining a board is that the cluster has two or more planes parallel to the Z axis. For example, in FIG. 11, the cluster of the board corresponds to G303.

[Rope position calculation processing]
FIG. 12 is an example of a flowchart executed by the rope drop position calculation unit 203. This flowchart will be described below.

  Hereinafter, in the loop processing from S301 to S303, sheave recognition processing is executed from recognition result data in which all recognized hoisting machine parts, that is, sheaves and other hoisting machine parts are mixed. For this purpose, this loop processing is executed for a component whose component type is a winding machine (TRAACTION) in the component recognition result data 4200 stored in the component recognition result storage unit 302.

  (S302) The rope drop position calculation unit 203 recognizes the sheave of the target hoisting machine part using the part recognition result data 4200 and the data of the measurement point group data 4100. There are several methods for recognizing sheaves, and one example is a method for recognizing a cylindrical surface using the RANSAC algorithm. If the specification value information of the hoisting machine can be used, the position and dimensions of the sheave may be acquired using the specification value information.

  (S304) The rope drop position is calculated using the sheave position and hoisting machine parts acquired in S302, and rope drop position data 4300 is generated and stored in the rope drop position storage unit 303.

  Since the rope appears in the three-dimensional space as a straight line in contact with the cylindrical surface of the sheave, the rope drop position can be calculated by recognizing two straight lines in contact with the cylindrical surface and extending each straight line. Therefore, the rope drop position calculating unit 203 acquires in advance specification value information for calculating the intersection of the straight line extending in contact with the cylindrical surface of the sheave and the floor surface, and the specification value information is stored in the specification value information. The coordinate of the rope dropping position may be calculated by applying the dimension measurement data, that is, applying the recognized sheave coordinate. The rope drop position calculated by the processing in this step is stored in the rope drop position relative coordinates A4302 and B4303 in the rope drop position data.

As an example of specification value information, for example, the following expression (1) is a mathematical expression that defines the positional relationship between the sheave position and one rope dropping position A, and the following expression (2) is the position between the sheave position and the other rope dropping position B. You may use the numerical formula which defined the relationship. Then, the rope position relative coordinates A (xA, yA, zA) and the rope drop position relative coordinates are substituted by substituting the sheave position (xs, ys, zs) acquired in S302 into the following expressions (1) and (2). B (xB, yB, zB) may be calculated.
(XA, yA, zA) = f (xs, ys, zs) (1)
(XB, yB, zB) = g (xs, ys, zs) (2)

[Drawing process]
FIG. 13 is an example of a flowchart executed by the drawing generation unit 204. Hereinafter, this flowchart will be described.

  (S401) The drawing generation unit 204 generates a plan view using all data of the measurement point group data 4100, the component recognition result data 4200, and the rope drop position data 4300. Details of this processing are shown in FIG.

  Thereafter, in the loop processing from S402 to S404, the loop calculation is performed on the hoisting machine part in the part recognition result data 4200 in the process of S403.

  (S403) The drawing generation unit 204 generates a sectional view using all data of the measurement point group data 4100, the component recognition result data 4200, and the rope drop position data 4300. Details of this processing are shown in FIG.

[Plan view generation processing]
Details of the plan view generation process executed by the drawing generation unit 204 in S401 will be described with reference to the flowchart of FIG.

  (S501) The drawing generation unit 204 prepares an output plan drawing D1. In subsequent steps, the drawing is performed on the plan view.

  (S502) The drawing generation unit 204 sets a drawing height for drawing a plane drawing and acquires a drawing plane. The normal of the drawing plane is the Z-axis direction, and the drawing height may be, for example, a distance of 10 cm from the floor.

  In the loop processing from S503 to S511, the loop processing is performed on all the component recognition results stored in the component recognition result data 4200.

  (S504) The drawing generation unit 204 determines whether the drawing height and the target component intersect, and continues the subsequent processing only when the drawing intersects.

  (S505) The drawing generation unit 204 separates the processing based on the value of the shape type 4203.

  (S506) When the shape type of the target component is a plane, the drawing generation unit 204 draws an intersection line between the component and the drawing plane as a straight line on the plane drawing D1.

  (S507) When the target component is a rectangular parallelepiped, the drawing generation unit 204 draws an intersection line between the component and the drawing plane as a rectangle on the plan drawing D1.

  (S508) If the target component is neither a plane nor a cuboid, the drawing generation unit 204 draws a cuboid covering the component on the plan drawing D1.

  (S509) The drawing generation unit 204 determines whether or not the target part is a hoisting machine, and continues the subsequent processing in the case of the hoisting machine.

  (S510) The drawing generation unit 204 draws the rope drop position as a point on the plan drawing D1 based on the rope drop position data 4300.

  An example of a plan view drawn by this plan view generation process is shown in FIG. In FIG. 16, the recognized wall surface is represented by D101 to D106, the board is represented by D107, the hoisting machine is represented by D108, and the rope positions are represented by D109 and D110, respectively. In addition, FIG. 16 is a figure when there is no rectangular parallelepiped which covers components in S508, and the rectangular parallelepiped which covers components is not drawn.

[Cross section generation processing]
Details of the sectional view generation processing executed by the drawing generation unit 204 in S403 will be described with reference to the flowchart of FIG. In addition, in this flowchart, the example of sectional drawing production | generation targeting hoisting machine T is shown.

  (S601) The drawing generation unit 204 prepares a sectional drawing D2 for output. In subsequent steps, drawing is performed on this cross section.

  (S602) The drawing generation unit 204 sets a drawing range for drawing a cross-sectional drawing and acquires a drawing plane. The normal of the drawing plane is the short axis direction of the hoisting machine T, and the drawing range may be the length of the hoisting machine in the single axis direction.

  In the loop processing from S603 to S612, the processing from S604 to S611 is repeatedly executed for all the component recognition results stored in the component recognition result data 4200.

  (S604) The drawing generation unit 204 determines whether the drawing range and the target component intersect, and continues the subsequent processing only when the drawing range intersects.

  (S605) The drawing generation unit 204 separates processing based on the value of the shape type 4203.

  (S606) When the shape type of the target component is a plane, the drawing generation unit 204 draws an intersection line between the component and the drawing plane as a straight line on the cross-sectional drawing D2.

  (S607) When the target part is a rectangular parallelepiped, the drawing generation unit 204 draws an intersection line between the part and the drawing plane as a rectangle on the cross-sectional drawing D2.

  (S608) When the target part is neither a plane nor a rectangular parallelepiped, the drawing generation unit 204 draws a rectangular parallelepiped covering the part on the sectional drawing D2.

  (S609) The drawing generation unit 204 determines whether or not the target part is a hoisting machine, and continues the subsequent processing in the case of the hoisting machine.

  (S610) The drawing generation unit 204 draws the sheave as a circle on the cross-sectional drawing D2 based on the rope drop position data 4300.

  (S611) The drawing generation unit 204 draws a rope in a straight line on the sectional drawing D2 based on the rope drop position data 4300.

  FIG. 17 shows an example of a cross section drawn by this cross section generation process. In FIG. 17, the recognized floor surface is D120, the ceiling surface is D121, the beam is D122, the wall surface is D123, D124, the hoisting machine is D125, the rope positions are D126 and D127, and the rectangular parallelepiped covering the hoisting machine parts is D128. An example is shown. In this embodiment, a method for generating a two-dimensional drawing such as a plan view and a cross-sectional view has been described. However, by using information such as a part name of the part recognition result data 4200, a three-dimensional model is assigned, and a BIM (Building Information Model) is created. ) It may be output as data. A format for outputting as BIM data will be described in the second embodiment. In the present specification, the BIM data corresponds to the modeling data described in the claims.

[Input / output screen]
FIG. 18 shows an example of an input / output screen of the elevator machine room drawing generation apparatus which is an output of the present invention. Measurement point cloud data read via the input / output I / F device 130 is displayed in the screen area 101. When the button 102 is executed after reading the data, a plan view 103, a cross-sectional view 104, and a hoisting machine list 105 are displayed. By switching the list of the hoisting machine list 105, in the case of a machine room where a plurality of hoisting machines exist, the cross-sectional view can be switched.

[Effects]
As described above, according to the elevator machine room drawing generation apparatus 100 according to the first embodiment, it is possible to automatically generate a drawing of the elevator machine room by using measurement data of the elevator machine room as an input.

<Second embodiment>
The second embodiment will be described mainly with reference to FIGS. Note that matters not described in the present embodiment described in the first embodiment can also be applied to the present embodiment unless there are special circumstances. In the present embodiment, an example of a BIM model generation apparatus (corresponding to an elevator machine room modeling data generation apparatus) that outputs a BIM model of an elevator machine room based on a three-dimensional measurement point group will be described.

[System configuration]
FIG. 19 shows a configuration example including an elevator machine room BIM data generation device 160 and peripheral devices constituting the system applied in the present embodiment. Compared to the machine room drawing generation apparatus shown in FIG. 1, a BIM data search unit 206 is added to the processing device 110, and a BIM database storage unit 305 and a BIM data search result storage unit 306 are added to the storage device 120.

[BIM database]
FIG. 20 shows an example of table items of the BIM database 4500 stored in the BIM database storage unit 305. The table consists of component attributes and shape feature classifications. In the BIM data, a BIM data ID for uniquely identifying a part and a component is set, and information for each data ID is stored. The part attribute is information such as a part type, a model name, and a part number. The shape feature is information such as mass, center of gravity, length in the X direction, length in the Y direction, and length in the Z direction.

[BIM data search result data]
FIG. 21 is an example of table items of BIM data search result data 4600 that the BIM data search unit 206 stores in the BIM data search result storage unit 306. In the table, a part ID 4601, a searched BIM data ID 4602, an arrangement position 4603, and an arrangement posture 4604 are arranged. The BIM data search unit 206 searches corresponding BIM data from the BIM database 4500 for each component ID, and stores the ID of the searched BIM data in 4602 and the arrangement coordinates of the BIM data in 4603.

[flowchart]
FIG. 22 is an example of a flowchart of processing for automatically outputting elevator machine room BIM data based on three-dimensional measurement data. Note that (S101), (S102), and (S103) are the same as those in FIG. 2 and will not be described.

(S106) The BIM data retrieval unit 206 retrieves corresponding BIM data from the BIM database 4500 for each component ID 4201, and retrieves the corresponding BIM data and its position information according to the format of the BIM data retrieval result data 4600. Store in the data search result storage unit 306. Details of this process will be described later.

  (S107) The result output unit 205 outputs BIM data (machine room modeling data after addition) in which coordinates of a rope drop position, which will be described later, are added to the BIM database 4500. The output in this case may be an aspect in which machine room modeling data after addition is displayed on the input / output device 140, or an aspect in which the coordinates of the rope drop position are written in the BIM database storage unit 305.

[BIM data search processing]
FIG. 23 is an example of a flowchart of a BIM data search process executed by the BIM data search unit 206.

  In the loop processing from S701 to S706, the processing from S702 to S705 is executed for all the component recognition results stored in the component recognition result data 4200.

  (S702) The BIM data search unit 206 searches corresponding BIM data from the pre-designed BIM database based on the information of the part type 4202, shape type 4203, and inclusion vertex ID 4204 in the part recognition result data 4200. As a search method, several methods are conceivable. The candidates in the database are narrowed down based on the component type, and the size of the rectangular parallelepiped covering the component calculated from the included vertex ID and each axis registered in the BIM database There is a method of comparing the lengths of directions.

  (S703) The BIM data search unit 206 calculates the arrangement coordinates of the BIM data searched in S702 based on information such as the inclusion vertex ID in the component recognition result data 4200. There are several methods for calculating the arrangement coordinates. For example, the position of the center of gravity calculated from the included vertex ID and the position of the center of gravity in the BIM database are matched, and the posture is calculated so that the error is minimized. The technique to do is conceivable.

  (S704) The BIM data search unit 206 determines whether or not the target part is a hoisting machine, and continues the following process only in the case of the hoisting machine.

  (S705) The BIM data search unit 206 assigns a rope model based on the rope data stored in the BIM database using the rope drop position data for the target hoisting machine part.

[Effects]
As described above, according to the elevator machine room BIM data generation device 160 according to the second embodiment, it is possible to automatically generate the BIM data of the elevator machine room using the measurement data of the elevator machine room as an input.

  As mentioned above, the invention made by the present inventor has been specifically described based on the embodiment. However, the present invention is not limited to the embodiment, and various modifications can be made without departing from the scope of the invention. Needless to say.

DESCRIPTION OF SYMBOLS 100 ... Elevator machine room drawing generation device 110 ... Processing device 120 ... Storage device 130 ... Input / output interface 140 ... Input / output device 150 ... Three-dimensional measuring device 201 ... Data reading Unit 202 ... component recognition unit 203 ... rope drop position calculation unit 204 ... drawing generation unit 205 ... result output unit 301 ... measurement point cloud storage unit 302 ... component recognition result storage unit 303 ... Rope drop position storage unit 304 ... Output drawing storage unit

Claims (5)

In an elevator machine room drawing generation device for generating a drawing of an elevator machine room,
A data reading unit for reading the three-dimensional measurement data obtained by measuring the elevator machine room to be a drawing generation target with a three-dimensional measurement device;
A component recognition unit for recognizing an installation including at least a rope hoist installed in the elevator machine room from the three-dimensional measurement data;
The relative coordinates of the rope dropping position, which is the point where the rope wound up by the hoisting machine intersects the floor of the elevator machine room, with respect to the hoisting machine, the relative position between the hoisting machine and the rope dropping position is known. A rope drop position calculation unit that calculates the three-dimensional measurement data of the recognized hoisting machine to the specification value information of
Based on the calculated rope drop position, a drawing generation unit that generates at least one of a plan view and a cross-sectional view of the elevator machine room in which the rope drop position is drawn;
An elevator machine room drawing generation apparatus comprising: In the elevator machine room drawing production | generation apparatus of Claim 1,
A display device that simultaneously displays at least one of the generated plan view and cross-sectional view and measurement point cloud data in which the three-dimensional measurement data is plotted;
An elevator machine room drawing generator characterized by the above. In an elevator machine room modeling data generating device for generating modeling data of an elevator machine room,
A data reading unit for reading the three-dimensional measurement data obtained by measuring the elevator machine room to be a drawing generation target with a three-dimensional measurement device;
A component recognition unit for recognizing an installation including at least a rope hoist installed in the elevator machine room from the three-dimensional measurement data;
A modeling database storage unit for storing machine room modeling data including modeling data of the hoisting machine in association with the shape data of the hoisting machine and attribute data indicating that the shape data is the hoisting machine;
A modeling data search unit that assigns the recognized three-dimensional measurement data of the installation to the modeling data of the hoist, and searches the three-dimensional measurement data of the hoist from the three-dimensional measurement data of the installation;
The relative coordinates of the rope dropping position, which is the point where the rope wound up by the hoisting machine intersects the floor of the elevator machine room, with respect to the hoisting machine, the relative position between the hoisting machine and the rope dropping position is known. A rope drop position calculating unit that calculates the three-dimensional measurement data of the retrieved hoisting machine to the specification value information of
Adding the calculated rope drop position to the machine room modeling data, and outputting the machine room modeling data after the addition;
An elevator machine room modeling data generating device comprising: An elevator machine room drawing generation method for generating an elevator machine room drawing,
A data reading step for reading three-dimensional measurement data obtained by measuring an elevator machine room to be a drawing generation target with a three-dimensional measurement device;
A component recognition step for recognizing an installation including at least a rope hoist installed in the elevator machine room from the three-dimensional measurement data;
The relative coordinates of the rope dropping position, which is the point where the rope wound up by the hoisting machine intersects the floor of the elevator machine room, with respect to the hoisting machine, the relative position between the hoisting machine and the rope dropping position is known. A rope drop position calculating step for calculating by applying the recognized three-dimensional measurement data of the hoisting machine to the specification value information;
A drawing generation step for generating at least one of a plan view and a cross-sectional view of the elevator machine room in which the rope dropping position is drawn based on the calculated rope dropping position;
An elevator machine room drawing generation method comprising: In an elevator machine room modeling data generation method for generating elevator machine room modeling data,
A data reading step for reading three-dimensional measurement data obtained by measuring an elevator machine room to be a drawing generation target with a three-dimensional measurement device;
A component recognition step for recognizing an installation including at least a rope hoist installed in the elevator machine room from the three-dimensional measurement data;
The hoisting machine from a modeling database storage unit that stores machine room modeling data including hoisting machine modeling data in which the hoisting machine shape data and attribute data indicating that the shape data is a hoisting machine are associated with each other. Modeling to retrieve the 3D measurement data of the hoisting machine from the 3D measurement data of the installation object by reading the modeling data of the machine, assigning the 3D measurement data of the recognized installation object to the modeling data of the hoisting machine A data retrieval step;
The relative coordinates of the rope dropping position, which is the point where the rope wound up by the hoisting machine intersects the floor of the elevator machine room, with respect to the hoisting machine, the relative position between the hoisting machine and the rope dropping position is known. A rope drop position calculating step for calculating by applying the searched three-dimensional measurement data of the hoisting machine to the specification value information of
A result output step of adding the calculated rope drop position to the machine room modeling data and outputting the machine room modeling data after the addition;
The elevator machine room modeling data generation method characterized by including.