CN107704638B - Elevator machinery room diagram generating device and method, modeling data generating device and method - Google Patents
Elevator machinery room diagram generating device and method, modeling data generating device and method Download PDFInfo
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Abstract
The invention provides an elevator machine room diagram generation device and method, and a modeling data generation device and method. The problem is to output the hanging position of a rope of a traction machine in an elevator machine room. An elevator machine room map generation device is provided with: a component identification unit that identifies an installation item including at least a hoisting machine of a rope installed in an elevator machine room, based on three-dimensional measurement data obtained by measuring the elevator machine room, which is a target of map generation, by a three-dimensional measurement device; a rope hanging position calculating unit that applies the identified three-dimensional measurement data of the hoisting machine to known specification value information indicating the relative positions of the hoisting machine and the rope hanging position to calculate the relative coordinates of the rope hanging position with respect to the hoisting machine, which is the point where the rope being hoisted by the hoisting machine intersects the bottom surface of the elevator machine room; and a diagram generating unit that generates at least one of a plan view and a cross-sectional view of the elevator machine room in which the rope hanging position is depicted, based on the calculated rope hanging position.
Description
Technical Field
The present invention relates to an elevator machine room diagram generation device, an elevator machine room modeling data generation device, an elevator machine room diagram generation method, and an elevator machine room modeling data generation method, and particularly relates to a technique for calculating and outputting a rope position that is not represented by measurement data with high accuracy in a three-dimensional measurement point group obtained by three-dimensional measurement of an elevator machine room.
Background
As a background art in this field, there is patent document 1. This publication describes, as a solution to the problem, "a processing apparatus for point group data, which is used to group point group data indicating the shapes of the outer surfaces of a plurality of three-dimensional objects into one group for each three-dimensional object, and includes a storage means and a control means. The storage means stores in advance point group data, which is a set of point data having three-dimensional coordinates, and two-dimensional graphic data representing a contour shape of at least one three-dimensional object as a two-dimensional closed graphic. The control section performs the following processing: the method includes acquiring point group data and two-dimensional graphic data from a storage means, selecting point data included in an area generated by extending the two-dimensional graphic data in a normal direction from among the point data included in the point group data, and grouping the selected point data into one group.
Further, patent document 2 discloses an "installation diagram generating device having an installation diagram generating apparatus for generating an installation diagram including dimensions of an elevator structure, as a solution to the problem of" providing a technique capable of automatically generating an installation diagram including dimensions of an elevator structure: a storage unit that stores measurement point group information indicating a three-dimensional measurement point group and feature information indicating a feature of a structure constituting an elevator; a three-dimensional model generation unit that generates a three-dimensional model from the measurement point group information; a structure classification unit that classifies the three-dimensional model into structures based on the three-dimensional model and the feature information; a distance calculation unit that calculates the distance between the three-dimensional models of the classified structures; and an installation map generation unit that generates an installation map of the elevator based on the three-dimensional model of the classified structure and the calculated distance.
Documents of the prior art
Patent document
Patent document 1: japanese unexamined patent publication No. 2013-97489
Patent document 2: japanese unexamined patent publication No. 2016-79009
Disclosure of Invention
The dot group data processing method of patent document 1 is a method of generating a three-dimensional model using a two-dimensional map as an input, and is not applicable to an environment without a two-dimensional map.
The technique of patent document 2 is a technique of generating an installation diagram of an elevator based on measurement point group information. Although it is considered that the installation diagram in the machine room can be generated by applying the present technology, there are problems as follows: the rope hanging position, which is important for calculating the positional relationship between the lifting path and the machine room, is not represented in the measurement data.
The present invention has been made to solve the above-described problems, and an object of the present invention is to provide a technique for outputting a hanging position of a rope of a hoisting machine in an elevator machine room.
To solve the above problem, for example, the structure described in the claims is adopted. The present application includes a plurality of means for solving the above-described problems, and an example thereof is an elevator machine room map generating device that generates a map of an elevator machine room based on three-dimensional measurement data obtained by measuring the elevator machine room as a map generation target by a three-dimensional measurement device, the elevator machine room map generating device including: a data reading unit that reads three-dimensional measurement data obtained by measuring an elevator machine room, which is a target of map generation, by a three-dimensional measurement device; a component identification unit that identifies an installation item including at least a hoisting machine of a rope installed in the elevator machine room, based on the three-dimensional measurement data; a rope hanging position calculating unit that applies the identified three-dimensional measurement data of the hoisting machine to known specification value information indicating a relative position between the hoisting machine and the rope hanging position to calculate a relative coordinate of the rope hanging position with respect to the hoisting machine, the relative coordinate being a point where a rope being hoisted by the hoisting machine intersects with a bottom surface of the elevator machine room; and a map generating unit that generates at least one of a plan view and a cross-sectional view of the elevator machine room in which the rope hanging position is depicted, based on the calculated rope hanging position.
Effects of the invention
According to the present invention, a technique for generating a map including a hanging position of a rope of a hoisting machine based on three-dimensional measurement data of an elevator machine room can be provided. Objects, structures, and effects other than those described above will become apparent from the following description.
Drawings
Fig. 1 is a diagram showing an example of a configuration of an elevator machine room diagram generating device according to a first embodiment.
Fig. 2 is a diagram showing an example of a process flow of the elevator machine room map creation process.
Fig. 3 is a diagram showing an example of measurement point group data.
Fig. 4 is a diagram showing an example of three-dimensional display of measurement point group data.
Fig. 5 is a diagram showing an example of part recognition result data.
Fig. 6 is a diagram showing an example of rope hanging position data.
Fig. 7 is a diagram showing an example of the process flow of the component recognition process.
Fig. 8 is a diagram showing an example of the result of identifying the bottom surface, the top surface, and the wall surface.
Fig. 9 is a diagram showing an example of recognition of a beam.
Fig. 10 is a diagram showing an example of cluster data temporarily stored.
Fig. 11 is a diagram showing an example of a cluster division result.
Fig. 12 is a diagram showing an example of a process flow of the rope hanging position identifying process.
Fig. 13 is a diagram showing an example of the processing flow of the diagram creation processing according to the first embodiment.
Fig. 14 is a diagram showing an example of the process flow of the plan view generation processing according to the first embodiment.
Fig. 15 is a diagram showing an example of a process flow of the cross-sectional view creation process according to the first embodiment.
Fig. 16 is a diagram showing an example of a plan view of an output according to the first embodiment.
Fig. 17 is a diagram showing an example of a cross-sectional view of an output according to the first embodiment.
Fig. 18 is a diagram showing an example of an output screen according to the first embodiment.
Fig. 19 is a diagram showing an example of the configuration of an elevator machine room diagram generating device according to the second embodiment.
Fig. 20 is a diagram showing an example of entry purpose of the BIM database.
Fig. 21 is a diagram showing an example of entry of BIM data search result data.
Fig. 22 is a diagram showing an example of processing for outputting BIM data of an elevator machine room.
Fig. 23 is a diagram showing an example of the flow of the BIM data retrieval process.
Description of the labeling:
100 … elevator machine room diagram generating 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 … parts identification part
203 … rope hanging position calculating part
204 … graph generating part
205 … result output unit
301 … measurement point group storage unit
302 … part recognition result storage unit
303 … rope hanging position storage part
304 … output a graph store.
Detailed Description
Hereinafter, embodiments will be described with reference to the drawings. In all the drawings for describing the embodiments, the same portions are denoted by the same reference numerals as a rule, and redundant description thereof is omitted.
< first embodiment >
In the first embodiment, an example of a diagram generating device that outputs a diagram of an elevator machine room based on a three-dimensional measurement point group will be described.
[ System Structure ]
Fig. 1 shows a configuration example of an elevator machine room diagram generating apparatus 100 including a diagram generating system 1 applied to the present embodiment and peripheral devices. The figure generation system 1 includes an elevator machine room figure generation device 100, an input/output device 140, and a three-dimensional measurement device 150 as a whole. The user (such as a site surveyor) uses the functions of the elevator machine room map generating apparatus 100 by operating the input/output device 140. The elevator machine room map generating device 100 can be configured by a general computer (PC, server, etc.), and the characteristic processing functions (each processing unit of the processing device 110) can be realized by software program processing, for example.
The elevator machine room map creation device 100 includes a processing device 110, a storage device 120, and an input/output interface (I/F) 130. An input/output device 140 is connected to the input/output interface 130. The input/output device 140 is connected to a three-dimensional measurement device 150.
The input/output device 140 is an input device for inputting a measurement point group and the like by a user's operation, and an output device for outputting an elevator machine room diagram and the like, and examples thereof include a keyboard, a mouse, a display, a printer, a smartphone, a tablet PC, and the like.
The input/output interface 130 is a part that performs interface control (peripheral control) 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 a measurement point as point group data, and is connected to the input/output device 140 via a physical medium such as a general wireless network, a wired network, or a memory card. In the drawing generation system 1, the processing device 110 performs processing using data stored in the storage device 120, and the input/output interface 130 further performs interface control processing to configure a Graphical User Interface (GUI) on the screen of the input/output device 140 and display various information.
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 the present characteristic function, and includes a data reading unit 201, a component recognizing unit 202, a rope hanging position calculating unit 203, a diagram generating unit 204, and a result output unit 205.
Although not shown, the elevator machine room map generating device 100 has known elements such as an OS, middleware, and an application, and particularly has a conventional processing function for displaying a GUI screen on the input/output device 140 such as a display. The processing device 110 performs processing for drawing and displaying a predetermined screen, processing for data information input by a user through the screen, and the like, using the above-described conventional processing functions. Therefore, the data reading unit 201, the component recognizing unit 202, the rope hanging position calculating unit 203, the diagram generating unit 204, and the result outputting unit 205 are also configured to include software for realizing the functions of the respective units, and the software is configured to be loaded into a RAM and executed by a CPU, which is one of hardware configuring the processing device 110.
The storage device 120 is configured by known elements such as an HDD and an SSD, and includes storage units including a measurement point group storage unit 301, a component recognition result storage unit 302, a rope hanging position storage unit 303, and an output map storage unit 304, or corresponding data information (e.g., a database and a table).
The measurement point group storage unit 301 is a portion that stores measurement point group data 4100 (see fig. 3) based on input information for realizing the present characteristic function in the processing device 110, that is, a measurement point group acquired from the three-dimensional measurement device 150 via the input/output device 140.
The component recognition result storage unit 302 stores component recognition result data 4200 (see fig. 5) that is output from the component recognition unit 202.
The rope hanging position storage unit 303 is a part that stores rope hanging position data 4300 (see fig. 6) that is an output of the rope hanging position calculation unit 203.
The output map storage unit 304 is a part that stores the top view 103 and the cross-sectional view 104 (see fig. 18) as output map data that is an output of the map generation unit 204. In addition, 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, but the data format of the output drawing data is not limited to the plan view 103 and the cross-sectional view 104, and may be cluster data obtained by adding coordinates of a rope hanging position to cluster data 4400 (see fig. 10) described later.
[ flow chart ]
Fig. 2 is an example of a flowchart of a process for automatically outputting an elevator machine room map based on three-dimensional measurement data.
(S101) the data reading unit 201 acquires the three-dimensional measurement data input by the user via the input/output device 140, and stores the three-dimensional measurement data in the measurement point group storage unit 301 in the form of the measurement point group data 4100 in the measurement point group storage unit 301.
(S102) the component recognition unit 202 calculates component recognition result data 4200 using the measurement point group data 4100 stored in the measurement point group storage unit 301, and stores the calculated result data in the component recognition result storage unit 302. The details of step S102 will be described later.
(S103) the rope hanging position calculating unit 203 generates rope hanging position data 4300 using 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, and stores the rope hanging position data 4300 in the rope hanging position storage unit 303. The details of step S103 will be described later.
(S104) the map generation unit 204 generates the plan view 103 and the cross-sectional view 104 as output map data using the measurement point group data 4100 stored in the measurement point group storage unit 301, the part recognition result data 4200 stored in the part recognition result storage unit 302, and the rope hanging position data 4300 stored in the rope hanging position storage unit 303, and stores the generated data in the output map storage unit 304. The details of step S104 will be described later.
(S105) the top view 103 and the cross-sectional view 104 are displayed on the GUI shown in fig. 18.
[ 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 ID4101 for uniquely identifying a vertex, and X coordinates 4102, Y coordinates 4103, and Z coordinates 4104 of a measurement point to which the vertex ID is assigned. The vertexes of the measurement points obtained by three-dimensional measurement are arranged on the vertical axis of the table. Fig. 3 shows minimum information for uniquely identifying 1 point in a three-dimensional space, and information such as the brightness, the reflection intensity of a laser, and the color at each measurement point may be used. In addition, the measurement point group data may be data obtained by using one measurement machine or data obtained by combining the coordinates of measurement data obtained from a plurality of measurement machines and performing alignment.
Fig. 4 shows an example of points obtained by plotting measurement point group data on a three-dimensional space. When the measured dot group data is plotted, geometrical shapes such as a plane and a rectangular parallelepiped are read. In the subsequent processing, the geometric shape of the plotted point group is recognized as which member (including a structure such as a floor, a ceiling, and a beam, and also including an installation such as a hoisting machine and a control panel installed in the machine room) of the actual elevator machine room is located, and the hanging position of the rope not included in the measured point group data is calculated. The hanging position of the rope means the point of intersection of the bottom of the machine room with the rope. The reason why the rope hanging position is not included in the measurement point group data is that the rope hanging position enters a dead angle of the hoisting machine of the rope when viewed from the three-dimensional measurement device 150.
[ component recognition result data ]
Fig. 5 is an example of a table of the component recognition result data 4200 stored in the component recognition result storage unit 302. The table of the part recognition result data 4200 has a part ID4201, a part type 4202, a shape category 4203, and an inclusion vertex ID 4204. The component type 4202 is a type of component recognized by the elevator machine room map generating apparatus 100, and is, for example, a bottom (plan), a beam (CEILING join), a hoist (TRACTION), or the like. The SHAPE category 4203 indicates the SHAPE of the component, such as a PLANE (planet), a rectangular parallelepiped (cube), a COMPLEX SHAPE (COMPLEX SHAPE), and the like. Contained vertex ID4204 is a set of vertex IDs 4101 belonging to each component. The identified parts are arranged on the vertical axis of the table. Fig. 4 shows an example in which the bottom, the beam, and the hoisting machine are recognized.
[ rope hanging position data ]
Fig. 6 is an example of a table of rope hanging position data 4300 stored in the rope hanging position storage unit 303. The table of the rope hanging position data 4300 includes a hoisting machine part ID4301, a rope hanging position relative coordinate a4302, and a rope hanging position relative coordinate B4303. The hoisting machine part ID is a part ID corresponding to the hoisting machine of the part category 4202 among the part IDs 4201. The rope hanging position relative coordinate a4302 is one of relative coordinates of a point where the rope crosses the bottom surface as viewed from the coordinate system of the hoisting machine member, and the rope hanging position relative coordinate B4303 is the other of relative coordinates of a point where the rope crosses the bottom surface as viewed from the coordinate system of the hoisting machine member. The identified hoisting machine part IDs are arranged on the vertical axis of the table. The rope hanging position calculating unit 203 performs a rope hanging position calculating process, and obtains rope hanging position relative coordinates a4302 and rope hanging position relative coordinates B4303 from the calculation results, which will be described in detail later.
[ part identification processing ]
Fig. 7 is an example of a flowchart executed by the component recognizing section 202. The present flowchart will be described below.
(S201) the component recognizing unit 202 recognizes the bottom surface and the top surface using all the data of the measurement point group data 4100 stored in S101, and stores the data in the component recognition result data 4200. Various methods are conceivable as a process for identifying the bottom surface and the top surface, and the following methods are exemplified: planes are detected by using a RANSAC (RANdom SAmpling Consensus) algorithm, and two planes perpendicular to the Z-axis among the planes are set as a bottom plane and a top plane, respectively.
(S202) the component recognition unit 202 recognizes the wall surface using the vertices included in the vertex ID4204 not included in the component recognition result data 4200 among the measurement point group data 4100 stored in S101, and stores the recognized wall surface in the component recognition result data 4200. Various methods are conceivable as the process of recognizing the wall surface, and the following process is considered as an example: the RANSAC algorithm is used to detect planes, and among the planes, the plane parallel to the Z axis and having the length in the Z axis direction equal to the distance between the bottom surface and the top surface is determined as a wall surface.
Fig. 8 shows an example in which the bottom surface, the top surface, and the wall surface are identified for the measurement point group data example of fig. 4. In fig. 8, G101 denotes a bottom surface, G102 denotes a top surface, and G103 to G106 denote wall surfaces, respectively.
(S203) the part recognition unit 202 recognizes the beam using the vertex included in the vertex ID4204 not included in the part recognition result data 4200 among the measurement point group data 4100 stored in S101, and stores the beam in the part recognition result data 4200. Since the beam appearing in the machine room is generally in the shape of a rectangular parallelepiped, the beam can be recognized by searching for a rectangular parallelepiped adjacent to the top surface. Here, as a method of searching for a rectangular solid, a method of detecting a plane using the RANSAC algorithm and finding a combination of adjacent and perpendicular planes is considered.
Fig. 9 shows an example in which the beam is identified for the measurement point group data example of fig. 3. In fig. 9, an example in which five beams G201 to G205 are recognized is shown.
(S204) the part recognition unit 202 classifies the vertices not included in the part recognition result data 4200, among the measurement point group data 4100 stored in S101, into clusters using the euclidean clustering algorithm, using the vertices included in the vertex ID 4204. The euclidean clustering algorithm is an example of an algorithm for classifying nearby points into the same cluster. The sorted result is temporarily stored in the cluster data 4400 shown in fig. 10. Fig. 11 shows an example of a cluster obtained by applying the processing of this step to the measurement point group data of fig. 3. G101 is the same as the bottom surface recognized in fig. 8, and G301 to G306 show examples of classification into clusters.
Hereinafter, in the loop processing of S205 to S208, the processing of S206 and S207 is performed on all clusters.
(S206) the parts recognition unit 202 determines whether or not the cluster is a hoisting machine, and stores the cluster determined as the hoisting machine in the parts recognition result data 4200. The condition for determining the hoisting machine is that the rectangular parallelepiped (also referred to as a boundary frame) adjacent to the bottom surface and covering the member has a size equal to or larger than a certain size (equal to or larger than the size of the rectangular parallelepiped enclosing the hoisting machine), and has a flat surface which becomes the upper surface of the machine beam within a certain distance from the bottom surface (equal to or smaller than the height of the hoisting machine, or may be a height to which a margin is added). For example, in fig. 11, the cluster of the traction machine is G301.
(S207) the component recognition unit 202 determines whether or not the cluster is a control panel, and stores the cluster determined as the control panel in the component recognition result data 4200. The condition for determining the dial is that there are two or more planes parallel to the Z-axis within the cluster. For example, in fig. 11, the cluster of the control disk is G303.
[ rope position calculating processing ]
Fig. 12 is an example of a flowchart executed by the rope hanging position calculating unit 203. The present flowchart will be described below.
In the loop processing of S301 to S303, the sheave identification processing is executed based on the identification result data in which all the identified hoisting machine components, that is, the sheave and other hoisting machine components are mixed. Therefore, the present loop processing is executed for a component whose component type is a hoisting machine (TRACTION) among the component recognition result data 4200 stored in the component recognition result storage unit 302.
(S302) the rope hanging position calculating unit 203 identifies the sheave of the hoisting machine member to be operated, using the member identification result data 4200 and the data of the measurement point group data 4100. Various methods of identifying the sheave can be considered, and as an example, there is a method of identifying the cylindrical surface using the RANSAC algorithm. When the specification value information of the hoisting machine can be used, the position and the size of the sheave can be obtained using the specification value information.
(S304) the rope hanging position is calculated using the sheave position and the hoisting machine component acquired in S302, and rope hanging position data 4300 is generated and stored in the rope hanging position storage unit 303.
Since the rope appears in a three-dimensional space as a straight line contacting the cylindrical surface of the sheave, the rope hanging position can be calculated by identifying two straight lines contacting the cylindrical surface and extending each straight line. Therefore, the rope hanging position calculating unit 203 may obtain in advance specification value information for calculating an intersection between an extension line of a straight line contacting the cylindrical surface of the sheave and the bottom surface, and calculate coordinates of the rope hanging position by applying three-dimensional measurement data of the hoisting machine, that is, coordinates of the recognized sheave to the specification value information. The rope hanging position calculated by the processing of this step is stored in the rope hanging position relative coordinates a4302 and B4303 in the rope hanging position data.
As an example of the specification value information, for example, the following expression (1) may use an equation that defines a positional relationship between the sheave position and one rope hanging position a, and the following expression (2) may use an equation that defines a positional relationship between the sheave position and the other rope hanging position B. Further, the sheave position (xs, ys, zs) obtained in S302 may be substituted into the following expressions (1) and (2) to calculate the rope hanging position relative coordinates a (xA, yA, zA) and the rope hanging position relative coordinates B (xB, yB, zB).
(xA，yA，zA)＝f(xs，ys，zs)…(1)
(xB，yB，zB)＝g(xs，ys，zs)…(2)
[ graph creation processing ]
Fig. 13 is an example of a flowchart executed by the map generation unit 204. The present flowchart will be described below.
(S401) the map generation unit 204 generates a plan view by using all the data of the measurement point group data 4100, the part recognition result data 4200, and the rope hanging position data 4300. Fig. 14 shows details of this processing.
Next, in the loop processing of S402 to S404, the hoisting machine component in the component recognition result data 4200 loops the processing of S403.
(S403) the map generation unit 204 generates a cross-sectional view using all the data of the measurement point group data 4100, the part recognition result data 4200, and the rope hanging position data 4300. Fig. 15 shows details of this process.
[ Top-view image creation treatment ]
Details of the plan view generation processing executed by the map generation unit 204 in S401 will be described with reference to the flowchart of fig. 14.
(S501) the map generation unit 204 prepares a plan view D1 for output. In the subsequent steps, the drawing is performed on the plan view.
(S502) the drawing height of the drawing plan view is set by the drawing generation unit 204, and a drawing plane is acquired. The normal line of the drawing plane is the Z-axis direction, and the drawing height may be, for example, 10cm from the bottom surface.
As for the loop processing of S503 to S511, the loop processing is performed on all the part recognition results stored in the part recognition result data 4200.
(S504) the drawing generation unit 204 determines whether or not the drawing height intersects the target member, and continues the subsequent processing only when the drawing height intersects the target member.
(S505) the map generation unit 204 performs the separation process based on the value of the shape class 4203.
(S506) when the shape type of the target member is a plane, the drawing generation unit 204 draws an intersection line between the member and the drawing plane as a straight line on the top view D1.
(S507) when the target member is a rectangular parallelepiped, the drawing generation unit 204 draws a rectangular shape on the top view D1 at the intersection of the member and the drawing plane.
(S508) when the target member is not a plane nor a rectangular parallelepiped, the drawing generation unit 204 draws a rectangular parallelepiped of the covering member on the plan view D1.
(S509) the map generation unit 204 determines whether or not the target component is a hoisting machine, and continues the subsequent processing in the case of a hoisting machine.
(S510) the map generation unit 204 plots the rope hanging position as a point on the top view D1 based on the rope hanging position data 4300.
Fig. 16 shows an example of a top view drawn by the top view generation processing. In fig. 16, the recognized wall surfaces are denoted by D101 to D106, the control panel is denoted by D107, the hoisting machine is denoted by D108, and the rope positions are denoted by D109 and D110. Fig. 16 is a view of a case where the rectangular parallelepiped covering member is not present in S508, and the rectangular parallelepiped covering member is not depicted.
[ Cross-sectional view creation treatment ]
The details of the cross-sectional view generation processing executed by the map generation unit 204 in S403 will be described with reference to the flowchart of fig. 15. The present flowchart shows an example of a cross-sectional view generation for the hoisting machine T.
(S601) the map generation unit 204 prepares a cross-sectional view D2 for output. In the subsequent steps, the drawing is performed on the cross section.
(S602) the drawing generation unit 204 sets the drawing range of the drawing cross-sectional view and acquires the drawing plane. The normal line of the drawing plane is the short axis direction of the hoisting machine T, and the drawing range can be considered such as the length of the hoisting machine in the single axis direction.
In the loop processing of S603 to S612, the processing of S604 to S611 is repeatedly performed on all the part recognition results stored in the part recognition result data 4200.
(S604) the drawing generation unit 204 determines whether or not the drawing range intersects with the target member, and continues the subsequent processing only when the drawing range intersects with the target member.
(S605) the map generation unit 204 separates the processing based on the value of the shape class 4203.
(S606) when the shape type of the target member is a plane, the drawing generation unit 204 draws an intersection line between the member and the drawing plane as a straight line on the cross-sectional view D2.
(S607) when the target member is a rectangular parallelepiped, the drawing generation unit 204 draws a rectangular shape on the cross-sectional view D2 at the intersection of the member and the drawing plane.
(S608) if the target member is not a plane nor a rectangular parallelepiped, the drawing generation unit 204 draws the rectangular parallelepiped of the covering member on the cross-sectional view D2.
(S609) the map generation unit 204 determines whether or not the target component is a hoisting machine, and continues the subsequent processing in the case of a hoisting machine.
(S610) the map generator 204 draws the sheave as a circle on the cross-sectional view D2 based on the rope hanging position data 4300.
(S611) the diagram generating unit 204 draws the rope as a straight line on the cross-sectional view D2 based on the rope hanging position data 4300.
Fig. 17 shows an example of a cross section drawn by the present cross-sectional-view creation process. Fig. 17 shows an example in which the recognized bottom surface is denoted by D120, the top surface is denoted by D121, the beam is denoted by D122, the wall surfaces are denoted by D123 and D124, the hoisting machine is denoted by D125, the rope positions are denoted by D126 and D127, and the rectangular parallelepiped covering the hoisting machine members is denoted by D128. In the present embodiment, a method of generating a two-dimensional map such as a plan view and a cross-sectional view is described, but a format may be adopted in which a three-dimensional Model is compared with Information such as a component name of the component recognition result data 4200 and the three-dimensional Model is output as a BIM (Building Information Model). The second embodiment describes a format of output as BIM data. In addition, BIM data in the present specification corresponds to modeling data described in claims.
[ input/output Picture ]
Fig. 18 shows an example of an input/output screen of the elevator machine room map generating device of the present invention as an output. The measurement point group data read via the input/output interface 130 is displayed in the screen area 101. After the data is read, the button 102 is executed to display a plan view 103, a cross-sectional view 104, and a hoisting machine list 105. By switching the list of the hoisting machine list 105, the cross-sectional view can be switched when there are a plurality of machine rooms of hoisting machines.
[ Effect and the like ]
As described above, according to the elevator machine room map generating apparatus 100 according to the first embodiment, the map of the elevator machine room can be automatically generated using the measurement data of the elevator machine room as input.
< second embodiment >
The second embodiment will be described mainly with reference to fig. 19, 20, and 21. Note that, items described in the first embodiment but not described in the present embodiment can be applied to the present embodiment as long as they are not particularly described. In the present embodiment, an example of a BIM model generating device (corresponding to an elevator machine room modeling data generating device) that outputs a BIM model of an elevator machine room based on a three-dimensional measurement point group will be described.
[ System Structure ]
Fig. 19 shows an example of the configuration of an elevator machine room BIM data generating device 160 and peripheral devices including the system applied to this embodiment. Compared to the machine room map generating apparatus shown in fig. 1, the BIM data search unit 206 is added to the processing apparatus 110, and the BIM database storage unit 305 and the BIM data search result storage unit 306 are added to the storage apparatus 120.
[ BIM database ]
Fig. 20 shows an example of table entries of the BIM database 4500 stored in the BIM database storage unit 305. The table is composed of a classification of part attributes and shape features. BIM data IDs uniquely identifying the parts and the accessories are set in the BIM data, and information of each data ID is stored. The part attribute is information such as a part type, a model name, and a part number. The shape characteristics are 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 retrieval result data ]
Fig. 21 is an example of an entry of the BIM data search result data 4600 stored in the BIM data search result storage unit 306 by the BIM data search unit 206. In the table, the component ID4601, the searched BIM data ID4602, the arrangement position 4603, and the arrangement posture 4604 are arranged. The BIM data search unit 206 searches the BIM database 4500 for the corresponding BIM data for each part ID, stores the ID of the searched BIM data in 4602, and stores the arrangement coordinates of the BIM data in 4603.
[ flow chart ]
Fig. 22 is an example of a flowchart of processing for automatically outputting BIM data of the elevator machine room based on three-dimensional measurement data. Since (S101), (S102), and (S103) are the same as those in fig. 2, description thereof will not be made.
(S106) the BIM data search unit 206 searches the BIM database 4500 for the corresponding BIM data for each part ID4201, and stores the corresponding BIM data and the position information thereof in the form of the BIM data search result data 4600 in the BIM data search result storage unit 306. The details of this processing will be described later.
(S107) the result output unit 205 outputs BIM data (machine room modeling data after addition) to which coordinates of a rope hanging position (described later) are added, to the BIM database 4500. In this case, the output may be a mode in which the attached machine room modeling data is displayed on the input/output device 140, or a mode in which the coordinates of the rope hanging position are written into the BIM database storage unit 305.
[ BIM data retrieval processing ]
Fig. 23 is an example of a flowchart of the BIM data retrieval process executed by the BIM data retrieval unit 206.
In the loop processing of S701 to S706, the processing of S702 to S705 is performed on all the component recognition results stored in the component recognition result data 4200.
(S702) the BIM data search unit 206 searches the designed BIM database for the corresponding BIM data based on the information of the component type 4202, the shape type 4203, and the information including the vertex ID4204 in the component recognition result data 4200. As a search method, various methods can be considered, such as the following: candidates in the database are narrowed down based on the component type, and the size of a rectangular parallelepiped of a covering component calculated from the contained vertex ID is compared with the length in each axis direction registered in the BIM database.
(S703) the BIM data retrieval unit 206 calculates the arrangement coordinates of the BIM data retrieved in S702 based on the information including the vertex ID and the like in the component recognition result data 4200. As a method of calculating the arrangement coordinates, there are various methods, and for example, the following methods are considered: the barycentric position calculated from the coordinates including the vertex ID is matched with the barycentric position in the BIM database, and the attitude is calculated so that the error becomes minimum.
(S704) the BIM data retrieval unit 206 determines whether or not the target component is a hoisting machine, and continues the following processing only in the case of a hoisting machine.
(S705) the BIM data retrieval unit 206 applies a rope model based on the rope data stored in the BIM database using the rope hanging position data corresponding to the target hoisting machine component.
[ Effect and the like ]
As described above, according to the BIM data generating device 160 for the elevator machine room according to the second embodiment, the BIM data for the elevator machine room can be automatically generated using the measurement data of the elevator machine room as an input.
The present invention has been described specifically based on the embodiments, but the present invention is not limited to the embodiments described above, and it is obvious that various modifications can be made without departing from the scope of the present invention.
Claims (5)
1. An elevator machine room map generating device for generating a map of an elevator machine room, comprising:
a data reading unit that reads three-dimensional measurement data obtained by measuring an elevator machine room, which is a target of map generation, by a three-dimensional measurement device;
a component identification unit that identifies an installation item including at least a hoisting machine of a rope installed in the elevator machine room, based on the three-dimensional measurement data;
a rope hanging position calculating unit that applies the identified three-dimensional measurement data of the hoisting machine to known specification value information for calculating a point at which an extension line of a rope being hoisted by the hoisting machine intersects with the bottom surface of the elevator machine room, and calculates relative coordinates of the rope hanging position with respect to the hoisting machine, the rope hanging position being a point at which the rope being hoisted by the hoisting machine intersects with the bottom surface of the elevator machine room; and
and a map generating unit that generates at least one of a plan view and a cross-sectional view of the elevator machine room in which the rope hanging position is depicted, based on the calculated rope hanging position.
2. The elevator machine room map generating apparatus according to claim 1, further comprising:
and a display device for simultaneously displaying at least one of the generated plan view and cross-sectional view and measurement point group data on which the three-dimensional measurement data is plotted.
3. An elevator machine room modeling data generation device that generates modeling data for an elevator machine room, the device comprising:
a data reading unit that reads three-dimensional measurement data obtained by measuring an elevator machine room, which is a target of map generation, by a three-dimensional measurement device;
a component identification unit that identifies an installation item including at least a hoisting machine of a rope installed in the elevator machine room, based on the three-dimensional measurement data;
a modeling database storage unit that stores machine room modeling data including modeling data of a hoisting machine in which shape data of the hoisting machine and attribute data indicating that the shape data corresponds to each other are stored;
a modeling data retrieval unit that compares the identified three-dimensional measurement data of the installation object with modeling data of the hoisting machine and retrieves three-dimensional measurement data of the hoisting machine from the three-dimensional measurement data of the installation object;
a rope hanging position calculating unit that calculates relative coordinates of the rope hanging position with respect to the hoisting machine by applying the retrieved three-dimensional measurement data of the hoisting machine to known specification value information for calculating a point at which an extension line of the rope hoisted by the hoisting machine intersects with the bottom surface of the elevator machine room; and
and a result output unit that adds the calculated rope hanging position to the machine room modeling data and outputs the added machine room modeling data.
4. An elevator machine room map creation method for creating a map of an elevator machine room, comprising:
a data reading step of reading three-dimensional measurement data obtained by measuring an elevator machine room to be a map generation target by a three-dimensional measurement device;
a component identification step of identifying an installation item including at least a hoisting machine of a rope installed in the elevator machine room, based on the three-dimensional measurement data;
a rope hanging position calculating step of applying the identified three-dimensional measurement data of the hoisting machine to known specification value information for calculating a point where an extension line of the rope hoisted by the hoisting machine intersects with the bottom surface of the elevator machine room, and calculating relative coordinates of the rope hanging position with respect to the hoisting machine, the rope hanging position being a point where the rope hoisted by the hoisting machine intersects with the bottom surface of the elevator machine room; and
and a map generation step of generating at least one of a plan view and a cross-sectional view of the elevator machine room in which the rope hanging position is depicted, based on the calculated rope hanging position.
5. A method for generating modeling data of an elevator machine room, the method comprising:
a data reading step of reading three-dimensional measurement data obtained by measuring an elevator machine room to be a map generation target by a three-dimensional measurement device;
a component identification step of identifying an installation item including at least a hoisting machine of a rope installed in the elevator machine room, based on the three-dimensional measurement data;
a modeling data retrieval step of reading modeling data of a hoisting machine from a modeling database storage unit that stores machine room modeling data including modeling data of the hoisting machine, comparing the three-dimensional measurement data of the identified installation with modeling data of the hoisting machine, and retrieving the three-dimensional measurement data of the hoisting machine from the three-dimensional measurement data of the installation, the modeling data of the hoisting machine being data in which shape data of the hoisting machine and attribute data indicating that the shape data is associated with each other are stored;
a rope hanging position calculating step of applying the retrieved three-dimensional measurement data of the hoisting machine to known specification value information for calculating a point where an extension line of the rope hoisted by the hoisting machine intersects with the bottom surface of the elevator machine room, thereby calculating relative coordinates of the rope hanging position with respect to the hoisting machine, the rope hanging position being a point where the rope hoisted by the hoisting machine intersects with the bottom surface of the elevator machine room; and
and a result output step of adding the calculated rope hanging position to the machine room modeling data and outputting the added machine room modeling data.
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| Application Number | Priority Date | Filing Date | Title |
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| JP2016156864A JP6602275B2 (en) | 2016-08-09 | 2016-08-09 | Elevator machine room drawing generation apparatus, elevator machine room modeling data generation apparatus, elevator machine room drawing generation method, and elevator machine room modeling data generation method |
| JP2016-156864 | 2016-08-09 |
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| CN107704638A CN107704638A (en) | 2018-02-16 |
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| JP (1) | JP6602275B2 (en) |
| CN (1) | CN107704638B (en) |
| HK (1) | HK1246887A1 (en) |
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| JP2019168976A (en) * | 2018-03-23 | 2019-10-03 | 株式会社ジオ技術研究所 | Three-dimensional model generation device |
| JP7294935B2 (en) * | 2019-08-01 | 2023-06-20 | 株式会社アドイン研究所 | DISTANCE INFORMATION DETECTION SYSTEM, LAYOUT CREATION SYSTEM AND LAYOUT CREATION METHOD |
| CN110554819A (en) * | 2019-09-05 | 2019-12-10 | 曙光信息产业(北京)有限公司 | Physical equipment display method, physical equipment display device, physical equipment display terminal and storage medium |
| CN110686648A (en) * | 2019-09-06 | 2020-01-14 | 平安城市建设科技(深圳)有限公司 | Method, device and equipment for generating house type graph based on image detection and storage medium |
| JP7313241B2 (en) * | 2019-09-10 | 2023-07-24 | 株式会社日立製作所 | Installation adjustment amount calculation method and installation adjustment amount calculation system |
| US20230294962A1 (en) * | 2019-10-18 | 2023-09-21 | Inventio Ag | Method and device for carrying out an at least partially virtualised conformity assessment for a passenger transport system using a digital duplicated data set |
| EP4116933A4 (en) | 2020-03-03 | 2023-08-30 | FUJIFILM Corporation | Three-dimensional display device, method, and program |
| DE112020007119T5 (en) * | 2020-04-27 | 2023-03-09 | Mitsubishi Electric Corporation | Data processing device for elevators |
| CN111722576A (en) * | 2020-06-24 | 2020-09-29 | 合肥供水集团有限公司 | Water supply industry computer lab 3D visual fortune dimension management system |
| JP7286216B1 (en) * | 2021-11-29 | 2023-06-05 | 野原ホールディングス株式会社 | Design support system and design support method |
| JP2023079635A (en) * | 2021-11-29 | 2023-06-08 | 野原ホールディングス株式会社 | Design assistance system and design assistance method |
| JP7326537B1 (en) | 2022-05-20 | 2023-08-15 | 東芝エレベータ株式会社 | Elevator coordinate axis setting method and elevator shape measuring device |
| JP7451812B1 (en) | 2023-07-20 | 2024-03-18 | 鹿島建設株式会社 | Structure model construction program and structure model construction method |
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| JP5673489B2 (en) * | 2011-10-31 | 2015-02-18 | トヨタ自動車株式会社 | Point cloud data processing apparatus, processing method, processing program, and recording medium |
| FI123925B (en) * | 2012-08-17 | 2013-12-13 | Kone Corp | Procedure for managing elevator related data |
| KR101883121B1 (en) * | 2014-06-13 | 2018-07-27 | 미쓰비시덴키 가부시키가이샤 | Device for measuring elevator hoistway dimensions, and method for measuring same |
| JP6322544B2 (en) * | 2014-10-21 | 2018-05-09 | 株式会社日立ビルシステム | Installation drawing creation apparatus, installation drawing creation method, and installation drawing creation program |
| JP5973033B1 (en) * | 2015-06-10 | 2016-08-17 | 東芝エレベータ株式会社 | Elevator machine beam allowance dimension calculation system and machine beam allowance dimension calculation method |
| JP6480824B2 (en) * | 2015-07-27 | 2019-03-13 | 株式会社日立製作所 | Distance image sensor parameter adjustment method, parameter adjustment apparatus, and elevator system |
| JP6545065B2 (en) * | 2015-09-30 | 2019-07-17 | 株式会社日立ビルシステム | 3D point cloud data modeling device, modeling program and elevator guide rail modeling method |
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| JP6602275B2 (en) | 2019-11-06 |
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