CN113111432B - Data processing method, device and storage medium based on model margin line - Google Patents
Data processing method, device and storage medium based on model margin line Download PDFInfo
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- 238000013499 data model Methods 0.000 claims abstract description 36
- 238000000034 method Methods 0.000 claims abstract description 28
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- 238000005259 measurement Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 4
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Abstract
The invention discloses a data processing method, a data processing device and a storage medium based on a model margin line, wherein the data processing method based on the model margin line comprises the following steps: obtaining measured data and a preset hull data model; obtaining a first model and a second model according to the hull data model and the measured data, and obtaining a target model allowance line according to the second model; adjusting the target model margin line to enable the target model margin line to be matched with the first model, and guiding the adjusted target model margin line into the first model; and obtaining a coordinate deviation value of the first model and the measured data according to the target model allowance line. By using the method, the coordinate deviation value of the ship body data model and the measured data can be simply and intuitively obtained without manual conversion, the workload of workers is reduced, and the precision ship-building efficiency and accuracy are improved.
Description
Technical Field
The invention relates to the technical field of precision shipbuilding, in particular to a data processing method, a data processing device and a computer readable storage medium based on a model margin line.
Background
Total station measurement and DACS (dimensional and precision control system) software analysis are widely used in the field of ship manufacturing. In general, a user firstly measures and obtains the measured data of the ship body section by using a total station, and then obtains the deviation between the measured data and theoretical simulation data by matching with DACS software, thereby obtaining the precision of ship section construction. However, the hull design model is marginless, while some large linear segments of the actual hull need to be built with margins. Therefore, when the DACS software is used for importing the ship body data model and the ship body section actual measurement data for matching, the theoretical point coordinates without the allowance in the model are compared with the coordinates with the allowance of the actual measurement section, the inclined plate and the large linear outer plate are difficult to directly obtain precision deviation data, and the half-width deviation generated by the height deviation is required to be converted manually and eliminated, so that great inconvenience is brought to users.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides a data processing method, a data processing device and a computer readable storage medium based on a model margin line, which can simply and intuitively obtain the coordinate deviation value of a ship body data model and measured data, thereby improving the precision shipbuilding efficiency and accuracy.
In a first aspect, an embodiment of the present invention provides a data processing method based on a model margin line, including: obtaining measured data and a preset hull data model; obtaining a first model and a second model according to the hull data model and the measured data, and obtaining a target model allowance line according to the second model; adjusting the target model margin line to enable the target model margin line to be matched with the first model, and guiding the adjusted target model margin line into the first model; and obtaining a coordinate deviation value of the first model and the measured data according to the target model allowance line.
Further, the obtaining a first model and a second model according to the hull data model and the measured data includes:
and importing the hull data model and the actual measurement data to DACS software to obtain a first model, and importing the hull data model and the actual measurement data to TRI BON software to obtain a second model.
Further, the second model includes a multi-segment model margin line; the obtaining the target model margin line according to the second model comprises the following steps: and extracting a plurality of sections of model allowance lines to be target model allowance lines.
Further, the adjusting the target model margin line includes: and adjusting the format of the target model margin line to be a spline curve.
Further, the adjusting the format of the target model margin line is spline curve, including: dividing the target model margin line into a curve and a multi-section line according to the format of the target model margin line; adjusting the curve to be a spline curve; and adjusting the multi-section line to be a straight line or a spline curve.
Further, the adjusting the target model margin line further includes: acquiring a coordinate base point of the first model; and adjusting the coordinate base points of the target model allowance line to enable the coordinate base points of the target model allowance line to be consistent with the coordinate base points of the first model.
Further, the first model includes a plurality of first point coordinates, and before the coordinate deviation value between the first model and the measured data is obtained according to the target model margin line, the method includes: obtaining a second point coordinate according to the first point coordinate, wherein the second point coordinate is a coordinate corresponding to the first point coordinate in the target model allowance line; binding the first point coordinates and the second point coordinates.
Further, the obtaining the coordinate deviation value of the first model and the measured data according to the target model margin line includes: and obtaining a third point coordinate according to the first point coordinate and the second point coordinate, wherein the third point coordinate comprises a coordinate deviation value of the first model and the measured data.
In a second aspect, an embodiment of the present invention further provides a data processing apparatus, including: the data processing method based on the model margin line according to any one of the embodiments of the first aspect is implemented when the processor executes the computer program.
In a third aspect, an embodiment of the present invention further provides a computer readable storage medium, where computer executable instructions are stored, where the computer executable instructions are configured to cause a computer to perform the data processing method based on the model margin line according to any one of the embodiments of the first aspect.
The one or more technical solutions provided in the embodiments of the present application have at least the following beneficial effects: obtaining measured data and a preset hull data model, obtaining a first model and a second model according to the hull data model and the measured data, obtaining a target model allowance line according to the second model, adjusting the target model allowance to be matched with the first model, introducing the adjusted target model allowance line into the first model, and obtaining a coordinate deviation value of the first model and the measured data according to the target model allowance line. According to the scheme provided by the embodiment of the application, the coordinate deviation value of the ship body data model and the measured data can be simply and intuitively obtained without manual conversion, the workload of workers is reduced, and therefore the precision ship building efficiency and accuracy are improved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
Additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flowchart illustrating a data processing method based on model margin lines according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method according to an embodiment of the invention in step S200;
FIG. 3 is a flowchart illustrating a method according to an embodiment of the invention in step S200;
FIG. 4 is a flowchart illustrating a method according to an embodiment of the present invention in step S300;
FIG. 5 is a flowchart illustrating a specific method of step S310 according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating a method according to an embodiment of the present invention in step S300;
FIG. 7 is a flowchart illustrating a method according to an embodiment of the present invention before step S400;
FIG. 8 is a flowchart illustrating a method according to an embodiment of the present invention in step S400;
FIG. 9 is a schematic diagram showing an analysis effect of first model segment data without a target model margin line in DACS software according to an embodiment of the present invention;
FIG. 10 is a schematic diagram illustrating the analysis effect of the first model segment data with the target model margin line in DACS software according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, it should be understood that references to orientation descriptions such as upper, lower, front, rear, left, right, etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of description of the present invention and to simplify the description, and do not indicate or imply that the apparatus or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention.
In the description of the present invention, the description of the first and second is only for the purpose of distinguishing technical features, and should not be construed as indicating or implying relative importance or implying the number of technical features indicated or the precedence of the technical features indicated.
In the description of the present invention, unless explicitly defined otherwise, terms such as arrangement, installation, connection, etc. should be construed broadly and the specific meaning of the terms in the present invention can be reasonably determined by a person skilled in the art in combination with the specific contents of the technical scheme.
Embodiments of the present invention will be further described below with reference to the accompanying drawings.
In a first aspect, referring to fig. 1, a data processing method based on a model margin line according to an embodiment of the present invention specifically includes, but is not limited to, the following steps S100, S200, S300, and S400.
Step S100: and obtaining measured data and a preset hull data model.
The preset hull data model is a design model of a hull without allowance, and the measured data is measured data of a hull section with allowance. For example, a worker may obtain hull section actual measurement data through total station measurement.
Step S200: and obtaining a first model and a second model according to the ship body data model and the measured data, and obtaining a target model allowance line according to the second model.
The first model is a hull data model without a margin line, and the second model is a hull data model with a margin line.
Step S300: and adjusting the target model margin line to enable the target model margin line to be matched with the first model, and introducing the adjusted target model margin line into the first model.
Specifically, a target model margin line is obtained according to the second model, and the target model margin line is adjusted to be matched with the first model, so that the first model is provided with the margin line.
Step S400: and obtaining a coordinate deviation value of the first model and the measured data according to the target model allowance line.
Through steps S100 to S400, obtaining measured data and a preset ship body data model, obtaining a first model and a second model according to the ship body data model and the measured data, obtaining a target model allowance line according to the second model, adjusting target model allowance to be matched with the first model, importing the adjusted target model allowance line into the first model, and obtaining a coordinate deviation value of the first model and the measured data according to the target model allowance line. As shown in fig. 10, according to the scheme provided by the embodiment of the application, the coordinate deviation value of the ship body data model and the measured data can be simply and intuitively obtained without manual conversion, so that the workload of workers is reduced, and the precision ship building efficiency and accuracy are improved.
As shown in fig. 2, for example, with respect to step S200, the following step S210 may be specifically included, but is not limited thereto.
Step S210: and importing the hull data model and the measured data to DACS software to obtain a first model, and importing the hull data model and the measured data to TRI BON software to obtain a second model.
It is noted that DACS software is commonly used precision control software for shipbuilding, and is used for comparing measured data with a preset hull data model, and performing geometric check and three-dimensional precision analysis, but when comparing the coordinates of the theoretical point without allowance of the hull data model with the coordinates with allowance of the measured data in DACS software, it is often difficult to directly obtain precision deviation data for the inclined plate and the large-line outer plate, and it is necessary to manually convert and eliminate the half-width deviation amount generated by the height deviation, so that great inconvenience is brought to users. And the TRI BON (computer software integrated system for assisting in ship design and construction) software is used, so that a complete and accurate multi-section model allowance line can be obtained according to measured data and a preset ship body data model, but the software is inconvenient for matching the ship body data model and the measured data to obtain a coordinate deviation value. Therefore, the model allowance line obtained by the preset hull data model in the second model corresponding to the TRI BON software is imported into the corresponding first model of the DACS software, so that a user can conveniently and intuitively obtain the coordinate deviation value between the hull data model and the measured data when accurately building the ship, and the working efficiency of workers and the accuracy of accurately building the ship are improved.
Illustratively, the second model includes a multi-segment model margin line, as shown in fig. 3, and with respect to step S200, may specifically include, but is not limited to, the following step S220.
Step S220: and extracting a plurality of sections of model allowance lines as target model allowance lines.
It should be noted that, according to the requirement of the user, the model margin lines of one section, two sections, all sections and the like may be extracted as the target model margin line, which is not limited in this embodiment.
Illustratively, referring to FIG. 4, with respect to step S300, the following step S310 may be specifically included, but is not limited thereto.
Step S310: and adjusting the format of the target model margin line to be a spline curve.
As shown in fig. 5, for example, specifically, regarding step S310, the following steps S311, S312 and S313 may be specifically included but not limited.
Step S311: and dividing the model into curves and multi-section lines according to the format of the target model allowance line.
Step S312: the adjustment curve is a spline curve.
Step S313: the multi-section line is adjusted to be a straight line or a spline curve.
It should be understood that all the residual lines of the target model may be adjusted to be spline curves, or the curves in the residual of the target model may be adjusted to be spline curves, and the multiple lines may be adjusted to be straight lines, which is not limited in this embodiment.
Illustratively, referring to FIG. 6, with respect to step S300, the following steps S320 and S330 may be specifically included, but are not limited thereto.
Step S320: and acquiring a coordinate base point of the first model.
Step S330: and adjusting the coordinate base points of the residual lines of the target model so that the coordinate base points of the residual lines of the target model are consistent with the coordinate base points of the first model.
The hull coordinate system may be a geodetic coordinate system, a world coordinate system, or the like, as long as the coordinate base point of the first model and the coordinate base point of the target model margin line can be adjusted to coincide, which is not limited in this embodiment.
Illustratively, the first model includes a plurality of first point coordinates, as shown in FIG. 7, prior to step S400, including, but not limited to, specifically step S410 and step S420 below.
Step S410: and obtaining second point coordinates according to the first point coordinates, wherein the second point coordinates are coordinates corresponding to the first point coordinates in the residual line of the target model.
Step S420: binding the first point coordinates and the second point coordinates.
Exemplary, referring specifically to fig. 8, regarding step S400, the following step S430 may be specifically included, but not limited thereto.
Step S430: and obtaining a third point coordinate according to the first point coordinate and the second point coordinate, wherein the third point coordinate comprises a coordinate deviation value of the first model and the measured data.
Fig. 9 and 10 show an analysis effect of the first model segment data without the target model margin line in DACS software according to an embodiment of the invention, and fig. 10 shows an analysis effect of the first model segment data with the target model margin line in DACS software according to an embodiment of the invention. It can be appreciated that, through step S430, the user can simply and intuitively obtain the coordinate deviation value of the first model and the measured data without conversion, thereby reducing the workload of workers and improving the accuracy of precision shipbuilding.
Based on the data processing method based on the model margin line in the embodiment of the first aspect, a data processing device according to each embodiment of the second aspect of the present invention is provided, where the data processing device includes: memory, a processor, and a computer program stored on the memory and executable on the processor.
It will be appreciated that the processor and memory may be connected by a bus or other means.
It should be noted that the non-transitory software program and instructions required to implement the model-margin-line-based data processing method of the above embodiment are stored in the memory, and when executed by the processor, the model-margin-line-based data processing method of the above embodiment is performed, for example, the method steps S100 to S400 in fig. 1, the method step S210 in fig. 2, the method step S220 in fig. 3, the method step S310 in fig. 4, the method steps S311 to S313 in fig. 5, the method steps S320 to S330 in fig. 6, the method steps S410 to S420 in fig. 7, and the method step S430 in fig. 8 described above are performed.
It will be appreciated that, since the data processing apparatus according to the second aspect of the present invention performs the data processing method based on the model margin line including any one of the embodiments of the first aspect, specific embodiments and technical effects of the data processing apparatus according to the second aspect of the present invention may refer to specific embodiments and technical effects of the data processing method based on the model margin line according to any one of the embodiments of the first aspect.
The embodiments of the data processing apparatus described above are merely illustrative, in which the units described as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Based on the above-described model margin line-based data processing method of the first aspect embodiment, the computer-readable storage medium of the respective embodiments of the third aspect of the present invention is provided, and the computer-readable storage medium stores computer-executable instructions that are executed by one processor or controller, for example, by one processor of the above-described data processing apparatus embodiments, may cause the above-described processor to execute the model margin line-based data processing method of the above-described embodiments, for example, execute the above-described method steps S100 to S400 in fig. 1, the method step S210 in fig. 2, the method step S220 in fig. 3, the method step S310 in fig. 4, the method step S311 to the step S313 in fig. 5, the method step S320 to the step S330 in fig. 6, the method step S410 to the step S420 in fig. 7, and the method step S430 in fig. 8.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
While the preferred embodiment of the present invention has been described in detail, the present invention is not limited to the above embodiment, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the present invention, and these equivalent modifications and substitutions are intended to be included in the scope of the present invention as defined in the appended claims.
Claims (4)
1. A data processing method based on a model margin line, comprising:
obtaining measured data and a preset hull data model;
obtaining a first model and a second model according to the hull data model and the measured data, and obtaining a target model allowance line according to the second model;
adjusting the target model margin line to enable the target model margin line to be matched with the first model, and guiding the adjusted target model margin line into the first model;
obtaining a coordinate deviation value of the first model and the measured data according to the target model allowance line;
the obtaining a first model and a second model according to the hull data model and the measured data comprises the following steps:
importing the hull data model and the actual measurement data into DACS software to obtain a first model, and importing the hull data model and the actual measurement data into TRIBON software to obtain a second model;
the second model comprises a multi-section model margin line; the obtaining the target model margin line according to the second model comprises the following steps:
extracting a plurality of sections of model allowance lines as target model allowance lines;
the adjusting the target model margin line includes:
adjusting the format of the target model margin line to be a spline curve;
acquiring a coordinate base point of the first model;
adjusting the coordinate base points of the target model allowance line to enable the coordinate base points of the target model allowance line to be consistent with the coordinate base points of the first model;
the first model comprises a plurality of first point coordinates, and before the coordinate deviation value of the first model and the measured data is obtained according to the target model allowance line, the method comprises the following steps:
obtaining a second point coordinate according to the first point coordinate, wherein the second point coordinate is a coordinate corresponding to the first point coordinate in the target model allowance line;
binding the first point coordinates and the second point coordinates;
the obtaining the coordinate deviation value of the first model and the measured data according to the target model allowance line comprises the following steps:
obtaining a third point coordinate according to the first point coordinate and the second point coordinate, wherein the third point coordinate comprises a coordinate deviation value of the first model and the measured data;
the first model is a hull data model without a margin line, and the second model is a hull data model with a margin line.
2. The data processing method according to claim 1, wherein the adjusting the format of the target model margin line is a spline curve, comprising:
dividing the target model margin line into a curve and a multi-section line according to the format of the target model margin line;
adjusting the curve to be a spline curve;
and adjusting the multi-section line to be a straight line or a spline curve.
3. A data processing apparatus, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the model margin line based data processing method according to any one of claims 1 to 2 when the computer program is executed.
4. A computer-readable storage medium, characterized by: computer executable instructions for performing the model margin line based data processing method according to any one of claims 1 to 2 are stored.
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