CN112150611B - Method and device for calibrating problematic component, computer equipment and storage medium - Google Patents

Method and device for calibrating problematic component, computer equipment and storage medium Download PDF

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CN112150611B
CN112150611B CN202010995944.2A CN202010995944A CN112150611B CN 112150611 B CN112150611 B CN 112150611B CN 202010995944 A CN202010995944 A CN 202010995944A CN 112150611 B CN112150611 B CN 112150611B
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严子夫
张峥
张东升
王凌宇
梁裕卿
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Architecture Design and Research Institute of Tongji University Group Co Ltd
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Abstract

The present invention relates to the field of computer technologies, and in particular, to a method and apparatus for calibrating a problem component, a computer device, and a storage medium. The method comprises the following steps: acquiring three-dimensional model data of a three-dimensional model and corresponding two-dimensional drawing data, and constructing and generating the three-dimensional model by taking the two-dimensional drawing data as reference data; determining a problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data; establishing a problem space body at a space position of a problem fault of the problem component in the three-dimensional model; acquiring component information of a problem component based on the two-dimensional drawing data, and generating problem information of the corresponding problem component based on the component information; the problem information is associated with the problem space body to calibrate the problem component. By adopting the method, the accuracy of problem positioning on the problem component can be improved.

Description

Method and device for calibrating problematic component, computer equipment and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and apparatus for calibrating a problem component, a computer device, and a storage medium.
Background
Along with the vigorous development of the building information model (Building Information Modeling, BIM) technology, the technology is increasingly combined with the Internet, the technology application is continuously deepened, the combination of engineering technology and management field is also increasingly tightened, industry demands continue to deepen and butt joint engineering management databases in the whole life cycle management direction of the building, the problems of discovery and prejudgment in the project proceeding process are recorded and displayed, and the problem solving process is required to be processed and data management is required.
In conventional approaches, it is common to directly relate the problem component to the problem. Thus, when facing a large part, the problem position cannot be accurately positioned, so that the problem part is inaccurately positioned.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device, and a storage medium for calibrating a problem component, which can improve accuracy of problem location on the problem component.
A method of problem component calibration, the method comprising:
acquiring three-dimensional model data of a three-dimensional model and corresponding two-dimensional drawing data, and constructing and generating the three-dimensional model by taking the two-dimensional drawing data as reference data;
determining a problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data;
establishing a problem space body at a space position of a problem fault of the problem component in the three-dimensional model;
acquiring component information of a problem component based on the two-dimensional drawing data, and generating problem information of the corresponding problem component based on the component information;
the problem information is associated with the problem space body to calibrate the problem component.
In one embodiment, after determining the problem component in the three-dimensional model, further comprising:
determining a target associated component having an associated influence with the problem component based on the three-dimensional model data;
establishing a problem space body at a space position of a problem fault of a problem component in a three-dimensional model, wherein the problem space body comprises:
and establishing a problem space body in the space position of the problem fault of the problem component and the target associated component which has an associated influence with the problem component in the three-dimensional model.
In one embodiment, determining a target associated component having an associated impact with a problem component based on three-dimensional model data, comprises:
determining one or more associated components associated with the problem component according to the three-dimensional model data, and determining associated position information of the problem component and each associated component;
a target associated part having an associated influence with the problem part is determined from the associated parts based on the associated position information and the spatial position information of the problem part.
In one embodiment, acquiring component information of a problem component based on two-dimensional drawing data, and generating problem information of a corresponding problem component based on the component information, includes:
acquiring component information of a problem component based on two-dimensional drawing data;
and converting the component information in a standard format based on a preset problem information template to obtain problem information in a standard format corresponding to the problem component.
In one embodiment, after the problem information is associated with the problem space body to calibrate the problem component, the method further includes:
receiving a triggering instruction fed back by a terminal to a problem space body in the displayed three-dimensional model;
and acquiring problem information associated with the problem space body corresponding to the trigger instruction, and transmitting the acquired problem information to the terminal.
A problematic component calibration apparatus, the apparatus comprising:
the data acquisition module is used for acquiring three-dimensional model data of a three-dimensional model and corresponding two-dimensional drawing data, and the three-dimensional model is constructed and generated by taking the two-dimensional drawing data as reference data;
the problem component determining module is used for determining a problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data;
the problem space body creation module is used for creating a problem space body at a space position of a problem fault of the problem component in the three-dimensional model;
the problem information generation module is used for acquiring the component information of the problem component based on the two-dimensional drawing data and generating the problem information of the corresponding problem component based on the component information;
and the association module is used for associating the problem information with the problem space body so as to calibrate the problem component.
In one embodiment, the apparatus further includes:
a target associated component determining module for determining a target associated component having an associated influence with the problem component based on the three-dimensional model data after the problem component determining module determines the problem component in the three-dimensional model;
the problem space body creation module is used for creating a problem space body in the spatial position of the problem fault of the problem component and the target associated component which has an associated influence with the problem component in the three-dimensional model.
In one embodiment, a problem space volume creation module includes:
an associated component determination sub-module for determining one or more associated components associated with the problem component based on the three-dimensional model data, and determining associated location information of the problem component and each associated component;
and the target association component determining sub-module is used for determining the target association component with the association influence on the problem component from the association components according to the association position information and the spatial position information of the problem component.
A computer device comprising a memory storing a computer program and a processor implementing the steps of any one of the methods described above when the processor executes the computer program.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of any of the preceding claims.
The method, the device, the computer equipment and the storage medium for calibrating the problem component are characterized in that three-dimensional model data and corresponding two-dimensional drawing data of a three-dimensional model are obtained, the three-dimensional model is constructed and generated by taking the two-dimensional drawing data as reference data, the problem component in the three-dimensional model is determined based on the two-dimensional drawing data and the three-dimensional model data, a problem space body is established at a space position corresponding to the problem component in the three-dimensional model, component information of the problem component is obtained, the problem information of the corresponding problem component is generated based on the component information, and the problem information is associated with the problem space body so as to calibrate the problem component. Therefore, a problem space body can be built at the space position corresponding to the problem part in the three-dimensional model, and the problem information is related to the problem space body, so that the problem in the three-dimensional model can be accurately positioned according to the built problem space body, and the accuracy of problem positioning is improved.
Drawings
FIG. 1 is an application scenario diagram of a problem component calibration method in one embodiment;
FIG. 2 is a flow chart of a method for calibrating a problem component in one embodiment;
FIG. 3 is a schematic diagram of three-dimensional model construction in one embodiment;
FIG. 4 is a flow diagram of a method of determining a target association component in one embodiment;
FIG. 5 is a flow chart of a method for generating problem information in one embodiment;
FIG. 6 is a schematic diagram of two-dimensional drawing data in one embodiment;
FIG. 7 is a block diagram of a problem component calibration device in one embodiment;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The problem component calibration method provided by the application can be applied to an application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. Based on the user instruction, the terminal 102 creates three-dimensional model data from the two-dimensional drawing data, and then sends the three-dimensional model data to the server 104. After obtaining the three-dimensional model data and the corresponding two-dimensional drawing data of the three-dimensional model, the server 104 may determine the problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data. Further, the server 104 may establish a problem space body at a space position where a problem fault of the problem component exists in the three-dimensional model, obtain component information of the problem component based on the two-dimensional drawing data, and generate problem information of the corresponding problem component based on the component information. The server 104 then correlates the issue information with the issue space volume to calibrate the issue component. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smartphones, tablet computers, and portable wearable devices, and the server 104 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for calibrating a problematic component is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:
step S202, three-dimensional model data and corresponding two-dimensional drawing data of a three-dimensional model are obtained, and the three-dimensional model is constructed and generated by taking the two-dimensional drawing data as reference data.
The three-dimensional model can be a model established based on BIM model software, and is generated based on two-dimensional drawing data, and model components can be included in the three-dimensional model.
In this embodiment, the model component refers to a collection of all components included in a construction for constructing or constructing an object that can be regarded as a whole, and may include, for example, components having relatively large body amounts in engineering, including but not limited to, a wall, a beam, a column, or the like, or may include components having relatively small body amounts, such as a door, a door frame, a door handle, hardware, a window, a column, a beam, a floor, a wall, a construction form, a curtain wall component, or the like.
The three-dimensional model data refers to data of each component in the generated three-dimensional model, and may include geometric information and attribute information of the model. The geometric information may refer to shape information of the component, such as overall geometric form, geometric form of the included component, and the like, and the attribute information refers to information added to the geometric information, such as: literal description, calculated data, materials, parameters, etc.
It will be appreciated by those skilled in the art that the three-dimensional model described above may include, but is not limited to, models of related professions such as architectural design, structural design, electrical design, plumbing design, heating and ventilation design, construction team, construction management, homeowner, cost budget, project management, operational maintenance, and the like.
In this embodiment, the server may create a corresponding three-dimensional model based on the two-dimensional drawing data through the terminal, and send the corresponding three-dimensional model to the server, or the server may also create a three-dimensional model directly based on the two-dimensional drawing data, which is not limited in this application.
Step S204, determining the problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data.
The problem component refers to a component with problem faults in the three-dimensional model, for example, the size of a window is too high or too narrow, the size of stairs is too low, the thickness of a wall body is insufficient, and the like.
In this embodiment, the server obtains attribute information of each component according to the three-dimensional model data, such as the calculation data described above, and then compares the attribute information with the data corresponding to the two-dimensional drawing data to determine whether the component has a problem.
Step S206, establishing a problem space body at the space position of the problem fault of the problem component in the three-dimensional model.
Where the problem construct is a three-dimensional volume for indicating where the problem fails, referring to FIG. 3, it may include a spatial geometry and vector points.
The spatial geometry is used to indicate the coverage of the effect of the problem in the problem piece, and may be various shapes such as cubes, spheres, cones, spirals, cylinders, etc. of three-dimensional geometry and combinations of geometries.
The vector point refers to a spatial position including a point, and includes directional spatial vector information that the point has.
In this embodiment, after determining the problem component in the three-dimensional model, the server may further determine the spatial position of the problem component, which is actually affected by the problem component, and establish a problem space body at the corresponding spatial position, that is, establish a space geometry and a vector point.
Step S208, acquiring the component information of the problem component based on the two-dimensional drawing data, and generating the problem information of the corresponding problem component based on the component information.
The component information refers to information such as properties of the component, and may include information such as professions related to the component and a position where the component is located.
In this embodiment, after the server obtains the component information of the problem component, the server may obtain the relevant description information of the fault problem corresponding to the problem component based on the three-dimensional model data, for example, the problem description may be a text type problem description, or a picture type problem description, and may include, but is not limited to, the question plane position information, the problem height/floor position information, and the like.
In this embodiment, the server may generate the problem information corresponding to the problem component based on the component information and the related description information of the corresponding problem.
Step S210, the problem information is associated with the problem space body to calibrate the problem component.
In particular, the server may store issue information in association with the issue space body to calibrate the location of the issue in the issue component through the issue space body.
In the method for calibrating the problem component, the three-dimensional model is constructed and generated by acquiring the three-dimensional model data of the three-dimensional model and the corresponding two-dimensional drawing data, the three-dimensional model is constructed and generated by taking the two-dimensional drawing data as reference data, the problem component in the three-dimensional model is determined based on the two-dimensional drawing data and the three-dimensional model data, a problem space body is established at a space position corresponding to the problem component in the three-dimensional model, then component information of the problem component is acquired, the problem information of the corresponding problem component is generated based on the component information, and the problem information is associated with the problem space body so as to calibrate the problem component. Therefore, a problem space body can be built at the space position corresponding to the problem part in the three-dimensional model, and the problem information is related to the problem space body, so that the problem in the three-dimensional model can be accurately positioned according to the built problem space body, and the accuracy of problem positioning is improved.
In one embodiment, after determining the problem component in the three-dimensional model, the method may further include: based on the three-dimensional model data, a target associated component having an associated impact with the problem component is determined.
The target related component refers to other non-problem components directly affected by the problem component in the three-dimensional model, for example, when the height or width of the component "door" is larger or smaller than the corresponding size in the two-dimensional drawing data for the component "door" and the "wall body" connected with the "door", the component "door" is the problem component, and the "wall body" directly connected with the "door" is the target related component directly affected by the problem component "door".
On the contrary, when the size of the component "door" is correct and the size of the frame body which is reserved in the "wall body" and is matched with the "door" is incorrect, the problem component is the "wall body" at the moment, and the component "door" is the target associated component with the associated influence.
In this embodiment, creating a problem space body at a space position where a problem fault of a problem component exists in a three-dimensional model may include: and establishing a problem space body in the space position of the problem fault of the problem component and the target associated component which has an associated influence with the problem component in the three-dimensional model.
Specifically, after the server determines the problem component having the problem fault in the three-dimensional model and the target associated component having the associated influence thereon, the problem space may be established in the three-dimensional model at the spatial location of the problem fault of the problem component and the target associated component having the associated influence thereon, for example, with continued reference to fig. 3, the problem space may be established at the door and the corresponding wall portion.
In the above embodiment, the problem space is established by determining the target associated component having the associated influence with the problem component and determining the spatial position of the problem fault of the problem component and the target associated component having the associated influence with the problem component in the three-dimensional model, so that the fault point brought by the problem component in the three-dimensional model can be accurately positioned according to the problem space, and the fault problem positioning accuracy of the problem component is improved.
In one embodiment, referring to FIG. 4, determining a target associated component that has an associated impact with a problem component based on three-dimensional model data may include:
step S402, determining one or more associated components associated with the problem component according to the three-dimensional model data, and determining associated position information of the problem component and each associated component.
Specifically, with continued reference to FIG. 3, in a three-dimensional model, the same component may be connected to one or more components, i.e., the components may have one or more associated components.
In this embodiment, the server may determine one or more associated parts corresponding to the problem part based on the three-dimensional model data, and determine associated position information of the problem part and each associated part.
For example, with continued reference to FIG. 3, when the server determines that wall 301 is a problem component, it may determine that the corresponding associated components include door 302, wall 303, beam 304, and beam 305 based on the three-dimensional model data. Further, the server may obtain information on the associated positions of the problem components and the associated components, for example, the associated positions of the wall 301 and the door 302 are three sides in contact with the door, and the associated positions of the wall 301 and the wall 303 are the intersection positions of the wall 301 and the wall 303.
Step S404, determining a target associated component with associated influence on the problem component from the associated components according to the associated position information and the spatial position information of the problem component.
Specifically, the server may determine, according to the spatial location information of the problem component, the location of the fault problem of the problem component, for example, determine, according to the spatial location information, that the height of the wall body is higher or lower, then determine that the location of the fault problem is an upper edge of the wall body, and when determining that the reservation of the wall door frame is too low, then determine that the location of the fault problem is an upper edge of the wall door frame, and accurately determine, according to the three-dimensional model data, the accurate spatial location information of the fault problem.
Further, the server may determine, based on the spatial location information of the fault problem and the associated location information of each associated component, the associated component actually affected by the problem component, i.e. determine the target associated component.
In the above embodiment, by determining one or more associated components associated with the problem component according to the three-dimensional model data, determining associated position information of the problem component and each associated component, and then determining a target associated component having an associated influence with the problem component from the associated components according to each associated position information and the spatial position information of the problem component, the target associated component can be accurately determined according to the position information of each associated component, so as to improve the accuracy of calibration of the problem component.
In one embodiment, referring to fig. 5, acquiring component information of a problem component based on two-dimensional drawing data, and generating problem information of a corresponding problem component based on the component information may include:
step S502, acquiring component information of the problem component based on the two-dimensional drawing data.
Specifically, the server may obtain information such as attributes of the problem component from the two-dimensional drawing data, for example, information such as a specialty related to the component, a location where the component is located, and the like.
Further, the server can also obtain related description information of the fault problem corresponding to the problem component according to the three-dimensional model data.
Step S504, based on a preset problem information template, converting the component information into a standard format to obtain problem information of the standard format corresponding to the problem component.
The problem information template refers to a pre-designated template file, and information required for describing the fault problem of the problem component is determined in the template, and may include, but is not limited to, geometric information and attribute information.
In this embodiment, the attribute information may include necessary descriptions of the problem, such as the spatial location where the problem is located, including the planar location and the altitude location, the same type of problem association, the problem related to the specialty, the problem classification, the problem description, and other parameters, data, etc.
In this embodiment, the server may perform conversion in a standard format on the component information of the acquired problem component based on the problem information template, so as to obtain problem information in the standard format.
In the above embodiment, the conversion of the standard data format is performed on the component information, so that the obtained problem information meets the standard format requirement, thereby being beneficial to the storage and display of the subsequent data and improving the efficiency of data storage and the efficiency of display calling.
In one embodiment, after the problem information is associated with the problem space body to calibrate the problem component, the method may further include: receiving a triggering instruction fed back by a terminal to a problem space body in the displayed three-dimensional model; and acquiring problem information associated with the problem space body corresponding to the trigger instruction, and transmitting the acquired problem information to the terminal.
In this embodiment, after the server associates the problem information with the problem space, the three-dimensional model data, the problem information, and the problem space may be stored in association, for example, in a problem management system or the like.
Further, the server may transmit the generated three-dimensional model data and the problem space volume to the terminal to be displayed by the terminal.
In this embodiment, the user may generate a trigger instruction by triggering the problem space body in the three-dimensional model displayed on the terminal, and feed back the trigger instruction to the server through the terminal.
Further, the server may acquire the problem information associated with the problem space body corresponding to the trigger instruction from the database, and send the acquired problem information to the terminal, so as to display the corresponding problem information.
In this embodiment, the server may generate two-dimensional plane data corresponding to the problem space body based on the problem space body, and associate the two-dimensional plane data with two-dimensional drawing data corresponding to the three-dimensional model, for example, as shown in fig. 6.
In this embodiment, when the user displays the three-dimensional model data through the terminal, the user may send a three-dimensional to two-dimensional conversion instruction to the terminal, and instruct the server with the feedback conversion instruction, and the server may obtain two-dimensional drawing data associated with the two-dimensional plane data, and send the two-dimensional drawing data to the terminal, so as to display the two-dimensional drawing data on the terminal, thereby realizing conversion of the three-dimensional component and the problem space body in the three-dimensional model data.
In the above embodiment, the triggering instruction of the problem space body in the displayed three-dimensional model fed back by the terminal is received, the problem information associated with the problem space body corresponding to the triggering instruction is obtained, and the obtained problem information is sent to the terminal, so that the corresponding problem information can be directly obtained through triggering the problem space body displayed on the terminal, and displayed, the problem where the problem fault is located can be intuitively determined, and the accuracy of problem fault location is improved.
It should be understood that, although the steps in the flowcharts of fig. 2, 4, and 5 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps of fig. 2, 4, and 5 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the sub-steps or stages are performed necessarily occur sequentially, but may be performed alternately or alternately with at least some of the other steps or sub-steps of other steps.
In one embodiment, as shown in FIG. 7, there is provided a problem component calibration apparatus comprising: a data acquisition module 100, a problem component determination module 200, a problem space volume creation module 300, a problem information generation module 400, and an association module 500, wherein:
the data acquisition module 100 is configured to acquire three-dimensional model data of a three-dimensional model and corresponding two-dimensional drawing data, where the three-dimensional model is constructed and generated by using the two-dimensional drawing data as reference data.
The problem component determining module 200 is configured to determine a problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data.
The problem space body creation module 300 is configured to create a problem space body at a spatial location where a problem of the problem component is faulty in the three-dimensional model.
The problem information generating module 400 is configured to obtain component information of a problem component based on the two-dimensional drawing data, and generate problem information corresponding to the problem component based on the component information.
The association module 500 is configured to associate the problem information with the problem space body to calibrate the problem component.
In one embodiment, the apparatus may further include:
the target associated component determining module is configured to determine, based on the three-dimensional model data, a target associated component having an associated influence with the problem component after the problem component determining module 200 determines the problem component in the three-dimensional model.
In this embodiment, the problem space body creation module 300 is configured to create a problem space body at a spatial location where a problem of a problem component and a target associated component having an associated influence with the problem component is located in a three-dimensional model.
In one embodiment, the problem-space-volume creation module 300 may include:
an associated component determination sub-module for determining one or more associated components associated with the problem component based on the three-dimensional model data and determining associated location information for the problem component with each associated component.
And the target association component determining sub-module is used for determining the target association component with the association influence on the problem component from the association components according to the association position information and the spatial position information of the problem component.
In one embodiment, the problem information generation module 400 may include:
and the component information acquisition sub-module is used for acquiring the component information of the problem component based on the two-dimensional drawing data.
And the conversion sub-module is used for converting the component information into the standard format based on a preset problem information template to obtain the problem information of the standard format corresponding to the problem component.
In one embodiment, the apparatus may further include:
the instruction receiving module is configured to associate the problem information with the problem space body by using the associating module 500, so as to calibrate the problem component, and then receive a trigger instruction fed back by the terminal to the problem space body in the displayed three-dimensional model.
The problem information sending module is used for obtaining problem information related to the problem space body corresponding to the trigger instruction and sending the obtained problem information to the terminal.
For specific limitations of the problem component calibration device, reference may be made to the above description of the method for calibrating the problem component, which is not repeated here. The respective modules in the above-described problem-component calibration apparatus may be realized in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing data such as three-dimensional model data, two-dimensional drawing data and problem information. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method for problem component calibration.
It will be appreciated by those skilled in the art that the structure shown in fig. 8 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory storing a computer program and a processor that when executing the computer program performs the steps of: acquiring three-dimensional model data of a three-dimensional model and corresponding two-dimensional drawing data, and constructing and generating the three-dimensional model by taking the two-dimensional drawing data as reference data; determining a problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data; establishing a problem space body at a space position of a problem fault of the problem component in the three-dimensional model; acquiring component information of a problem component based on the two-dimensional drawing data, and generating problem information of the corresponding problem component based on the component information; the problem information is associated with the problem space body to calibrate the problem component.
In one embodiment, after the processor, when executing the computer program, implements determining the problem component in the three-dimensional model, the following steps may also be implemented: based on the three-dimensional model data, a target associated component having an associated impact with the problem component is determined.
In this embodiment, when the processor executes the computer program, the creating a problem space body at a space position where a problem fault of the problem component in the three-dimensional model is located may include: and establishing a problem space body in the space position of the problem fault of the problem component and the target associated component which has an associated influence with the problem component in the three-dimensional model.
In one embodiment, the processor, when executing the computer program, to implement determining, based on the three-dimensional model data, a target associated component having an associated impact with the problem component may include: determining one or more associated components associated with the problem component according to the three-dimensional model data, and determining associated position information of the problem component and each associated component; a target associated part having an associated influence with the problem part is determined from the associated parts based on the associated position information and the spatial position information of the problem part.
In one embodiment, the processor, when executing the computer program, obtains the component information of the problem component based on the two-dimensional drawing data, and generates the problem information of the corresponding problem component based on the component information, and may include: acquiring component information of a problem component based on two-dimensional drawing data; and converting the component information in a standard format based on a preset problem information template to obtain problem information in a standard format corresponding to the problem component.
In one embodiment, the processor, when executing the computer program, implements associating problem information with the problem space volume to calibrate the problem component, and then further implements the following steps: receiving a triggering instruction fed back by a terminal to a problem space body in the displayed three-dimensional model; and acquiring problem information associated with the problem space body corresponding to the trigger instruction, and transmitting the acquired problem information to the terminal.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring three-dimensional model data of a three-dimensional model and corresponding two-dimensional drawing data, and constructing and generating the three-dimensional model by taking the two-dimensional drawing data as reference data; determining a problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data; establishing a problem space body at a space position of a problem fault of the problem component in the three-dimensional model; acquiring component information of a problem component based on the two-dimensional drawing data, and generating problem information of the corresponding problem component based on the component information; the problem information is associated with the problem space body to calibrate the problem component.
In one embodiment, after the computer program is executed by the processor to implement determining problem components in the three-dimensional model, the following steps may also be implemented: based on the three-dimensional model data, a target associated component having an associated impact with the problem component is determined.
In this embodiment, the creating of the problem space volume at the spatial location of the problem fault of the problem component in the three-dimensional model when the computer program is executed by the processor may include: and establishing a problem space body in the space position of the problem fault of the problem component and the target associated component which has an associated influence with the problem component in the three-dimensional model.
In one embodiment, a computer program, when executed by a processor, implements determining a target associated component having an associated impact with a problem component based on three-dimensional model data, may include: determining one or more associated components associated with the problem component according to the three-dimensional model data, and determining associated position information of the problem component and each associated component; a target associated part having an associated influence with the problem part is determined from the associated parts based on the associated position information and the spatial position information of the problem part.
In one embodiment, the computer program when executed by the processor obtains component information of the problem component based on the two-dimensional drawing data, and generates problem information of the corresponding problem component based on the component information, which may include: acquiring component information of a problem component based on two-dimensional drawing data; and converting the component information in a standard format based on a preset problem information template to obtain problem information in a standard format corresponding to the problem component.
In one embodiment, the computer program when executed by the processor performs the steps of, after associating problem information with the problem space volume to calibrate the problem component, further performing the steps of: receiving a triggering instruction fed back by a terminal to a problem space body in the displayed three-dimensional model; and acquiring problem information associated with the problem space body corresponding to the trigger instruction, and transmitting the acquired problem information to the terminal.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims (10)

1. A method for calibrating a problematic component, the method comprising:
three-dimensional model data and corresponding two-dimensional drawing data of a three-dimensional model are obtained, and the three-dimensional model is constructed and generated by taking the two-dimensional drawing data as reference data;
determining a problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data;
determining a target associated component having an associated influence with the problem component based on the three-dimensional model data; establishing a problem space body in the three-dimensional model at a space position where a problem of the problem component and a target associated component which has an associated influence with the problem component is located;
acquiring component information of the problem component based on the two-dimensional drawing data, and generating problem information corresponding to the problem component based on the component information;
and associating the problem information with the problem space body to calibrate the problem component.
2. The method of claim 1, wherein the determining, based on the three-dimensional model data, a target associated component having an associated influence with the problem component comprises:
determining one or more associated components associated with the problem component according to the three-dimensional model data, and determining associated position information of the problem component and each associated component;
and determining a target associated component with associated influence on the problem component from the associated components according to the associated position information and the spatial position information of the problem component.
3. The method of claim 1, wherein the acquiring the part information of the problem part based on the two-dimensional drawing data and generating the problem information corresponding to the problem part based on the part information includes:
acquiring component information of the problem component based on the two-dimensional drawing data;
and converting the component information in a standard format based on a preset problem information template to obtain problem information in a standard format corresponding to the problem component.
4. The method according to claim 1, wherein after acquiring the component information of the problem component based on the two-dimensional drawing data, further comprising:
and acquiring related description information of a fault problem corresponding to the problem component based on the three-dimensional model data, and generating problem information corresponding to the problem component based on the component information and the related description information.
5. The method of claim 1, wherein the associating the issue information with the issue space volume to calibrate the issue component further comprises:
receiving a triggering instruction fed back by a terminal to the problem space body in the displayed three-dimensional model;
and acquiring problem information associated with the problem space corresponding to the trigger instruction, and transmitting the acquired problem information to the terminal.
6. A problematic component calibration apparatus, the apparatus comprising:
the data acquisition module is used for acquiring three-dimensional model data of a three-dimensional model and corresponding two-dimensional drawing data, and the three-dimensional model is constructed and generated by taking the two-dimensional drawing data as reference data;
a problem component determining module, configured to determine a problem component in the three-dimensional model based on the two-dimensional drawing data and the three-dimensional model data;
a target associated component determination module configured to determine a target associated component having an associated influence with the problem component based on the three-dimensional model data after the problem component determination module determines the problem component in the three-dimensional model;
the problem space body creation module is used for creating a problem space body at the space position of the problem fault of the problem component and the target associated component which has an associated influence with the problem component in the three-dimensional model;
the problem information generation module is used for acquiring the component information of the problem component based on the two-dimensional drawing data and generating problem information corresponding to the problem component based on the component information;
and the association module is used for associating the problem information with the problem space body so as to calibrate the problem component.
7. The apparatus of claim 6, wherein the problem space volume creation module comprises:
an associated component determination sub-module for determining one or more associated components associated with the problem component based on the three-dimensional model data, and determining associated location information of the problem component and each of the associated components;
and the target association component determining sub-module is used for determining the target association component with the association influence on the problem component from the association components according to the association position information and the spatial position information of the problem component.
8. The apparatus according to claim 6, wherein:
the problem information generation module is further used for acquiring related description information of a fault problem corresponding to a problem component based on the three-dimensional model data, and generating problem information corresponding to the problem component based on the component information and the related description information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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Publication number Priority date Publication date Assignee Title
CN114373055B (en) * 2022-01-08 2022-09-27 北京建工集团有限责任公司 BIM-based three-dimensional image generation method and device, electronic equipment and medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106354945A (en) * 2016-08-31 2017-01-25 天河大成建筑云科技(天津)有限公司 Device and method for dynamic association of two-dimensional and three-dimensional engineering data based on building information modeling lightweight
CN109712233A (en) * 2018-12-27 2019-05-03 华自科技股份有限公司 Pipeline failure display methods, system, AR equipment and storage medium
CN109791511A (en) * 2016-09-29 2019-05-21 惠普发展公司,有限责任合伙企业 Unit failure prediction
CN110956288A (en) * 2019-12-03 2020-04-03 湖南国奥电力设备有限公司 Underground cable fault early warning method and device based on three-dimensional modeling
CN111339588A (en) * 2020-02-20 2020-06-26 广州易达建信科技开发有限公司 Two-dimensional drawing and three-dimensional model checking method, system and storage medium
CN111597637A (en) * 2020-05-19 2020-08-28 北京铁道工程机电技术研究所股份有限公司 Fault detection method, device, server and system for field parts of bullet train

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107590484A (en) * 2017-09-29 2018-01-16 百度在线网络技术(北京)有限公司 Method and apparatus for information to be presented

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106354945A (en) * 2016-08-31 2017-01-25 天河大成建筑云科技(天津)有限公司 Device and method for dynamic association of two-dimensional and three-dimensional engineering data based on building information modeling lightweight
CN109791511A (en) * 2016-09-29 2019-05-21 惠普发展公司,有限责任合伙企业 Unit failure prediction
CN109712233A (en) * 2018-12-27 2019-05-03 华自科技股份有限公司 Pipeline failure display methods, system, AR equipment and storage medium
CN110956288A (en) * 2019-12-03 2020-04-03 湖南国奥电力设备有限公司 Underground cable fault early warning method and device based on three-dimensional modeling
CN111339588A (en) * 2020-02-20 2020-06-26 广州易达建信科技开发有限公司 Two-dimensional drawing and three-dimensional model checking method, system and storage medium
CN111597637A (en) * 2020-05-19 2020-08-28 北京铁道工程机电技术研究所股份有限公司 Fault detection method, device, server and system for field parts of bullet train

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