CN112966139B - Data processing method, device, electronic equipment and computer storage medium - Google Patents
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Abstract
The application discloses a data processing method, a data processing device, electronic equipment and a computer storage medium. The specific implementation scheme comprises the following steps: acquiring project data to be checked; analyzing the project data to be inspected to obtain a building information model diagram contained in the project to be inspected and attribute information of the project to be inspected; determining an examination treaty for the to-be-examined item based on the attribute information of the to-be-examined item; and determining a corresponding examination result for the to-be-examined item based on the examination treaty of the to-be-examined item and the building information model diagram. Based on the processing method, the automatic examination of the building information model can be realized. Therefore, the problems of long inspection period and low inspection accuracy of the construction diagram in the traditional mode are solved.
Description
Technical Field
The present invention relates to the field of information processing, and in particular, to a data processing method, apparatus, electronic device, and computer storage medium.
Background
The existing engineering drawing inspection method is mainly carried out by relying on a construction drawing drawn by computer aided design (Computer Aided Design, CAD) software, a building design information carrier required by inspection is two-dimensional CAD data, a large amount of data calculation and geometric space reasoning are needed to judge whether the building design information carrier meets the requirements of related specifications or not on the basis, subjective judgment consciousness in the inspection process is strong, and the phenomena of missed inspection and misperception are easily caused, so that the quality and efficiency of inspection work are affected. Therefore, more and more enterprises select three-dimensional building information models (Building Information Modeling, BIM) as carriers of building design information required for construction drawing inspection, and how to inspect the construction drawing based on the BIM models and improve efficiency and accuracy of construction drawing inspection becomes a problem to be solved.
Disclosure of Invention
To solve at least one of the above problems in the prior art, embodiments of the present application provide a data processing method, apparatus, electronic device, and computer storage medium.
In a first aspect, an embodiment of the present application provides a data processing method, where the method includes:
acquiring project data to be checked;
analyzing the data of the project to be inspected to obtain a building information model diagram contained in the project to be inspected and attribute information of the project to be inspected;
determining an examination treaty for the to-be-examined item based on the attribute information of the to-be-examined item;
and determining a corresponding examination result for the to-be-examined item based on the examination treaty of the to-be-examined item and the building information model diagram.
In a second aspect, embodiments of the present application provide a data processing apparatus, the apparatus including:
the data acquisition module is used for acquiring the project data to be checked;
the data analysis module is used for analyzing the data of the project to be inspected to obtain a building information model diagram contained in the project to be inspected and attribute information of the project to be inspected;
a treaty determining module for determining an examination treaty for the to-be-examined item based on the attribute information of the to-be-examined item;
and the examination module is used for determining examination results corresponding to the to-be-examined items based on the examination treaty of the to-be-examined items and the building information model diagram.
In a third aspect, an embodiment of the present application provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the methods provided by any one of the embodiments of the present application.
In a fourth aspect, embodiments of the present application provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform a method provided by any of the embodiments of the present application.
One embodiment of the above application has the following advantages or benefits: and acquiring a building information model diagram, project attribute information and corresponding examination treatises based on project data to be examined, and obtaining a plurality of components in the building information model through feature extraction and model decomposition, so as to establish a mapping relation between the components in the building information model diagram and the examination treatises, thereby realizing automatic examination of the BIM model. Therefore, the problems of long inspection period and low inspection accuracy of the construction diagram in the traditional mode are solved.
Other effects of the above alternative will be described below in connection with specific embodiments.
Drawings
The drawings are for better understanding of the present solution and do not constitute a limitation of the present application. Wherein:
FIG. 1 is a flow chart of a data processing method according to an embodiment of the present application;
FIG. 2 is a second flow chart of a data processing method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of post-data-processing relevance annotation according to one embodiment of the application;
FIG. 4 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
FIG. 5 is a schematic diagram of the composition and structure of an inspection module according to an embodiment of the present application;
FIG. 6 is a second schematic diagram of a data processing apparatus according to an embodiment of the present application;
fig. 7 is a schematic diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In a first aspect, an embodiment of the present application provides a data processing method, as shown in fig. 1, including:
s101: acquiring project data to be checked;
s102: analyzing the data of the project to be inspected to obtain a building information model diagram contained in the project to be inspected and attribute information of the project to be inspected;
s103: determining an examination treaty for the to-be-examined item based on the attribute information of the to-be-examined item;
s104: and determining a corresponding examination result for the to-be-examined item based on the examination treaty of the to-be-examined item and the building information model diagram.
The embodiment of the application can be applied to the examining end of the network system architecture, the other end of the network system architecture can be the design end of the building information model, and the design end and the examining end are connected through a network and a communication link. The project construction unit utilizes a design end to create project information, import a model, perform intelligent self-checking, compress data, export and upload a project data packet. The design end user of the building information model is mainly a designer of a project building unit, a self-checking person and an auditor of the project design unit.
The examination end of the building information model in this embodiment may be applied to an electronic device, where the electronic device may be a device with a data processing function, for example, may be a terminal device, a tablet computer, a smart phone, or the like, or may also be a server.
In this embodiment, the end user of the building information model is mainly a censor of the building information model, and may specifically be a censor of a censoring organization.
Before executing step S101, the design end generates a package of items to be inspected through information creation, model import, and data compression. When the censoring end obtains the project data to be censored in the step S101, the user may send a request or an instruction to the design end on the censoring end network page or the application program of the building information model, and may specifically perform a corresponding operation on the censoring end network interface or the application program.
And step S102 is executed after the data of the project to be inspected is obtained, and the data of the project to be inspected is analyzed to obtain a building information model diagram contained in the project to be inspected and attribute information of the project to be inspected. Analyzing the project data to be inspected comprises project reading and decompression, wherein the attribute information of the project to be inspected obtained after decompression comprises project creation enterprise names, such as construction, survey or design unit names; project inspection types such as structural inspection of a building, appearance component inspection, interior component inspection, and the like; project specialty types refer to different building types, such as ordinary homes, high-rise homes, roads and bridges, tracks, etc.; the item information to be inspected may represent items by adding thumbnails, for example, arranged in a fixed-size picture or folder style, and function buttons of item names, creation of business marks, operations, and the like are displayed on the picture or folder.
After acquiring the attribute information of the item, step S103 is executed: and determining the examination treaty for the to-be-examined item based on the attribute information of the to-be-examined item. The method specifically comprises the following steps: selecting N candidate rules from a preset candidate rule base based on the attribute information of the item to be checked as N check rules of the item to be checked; n is an integer greater than or equal to 1.
Wherein the preset candidate rule base comprises all specifications for examination of building information models, such as: the description of house design specifications, urban road engineering design specifications, building appearance management specifications, house building safety design specifications, high-rise building concrete structure design regulations, and the like is not exhaustive herein.
The preset candidate rule base can be added, deleted, modified and the like according to the requirement so as to adapt to the update change of the related field inspection standards. The selecting N candidate rules from the preset candidate rule base may be integrally selecting one or more specifications, for example, integrally selecting all rules in "residential building design fireproof specification" and "high-rise building concrete structure design rule" as examination rules of the item to be examined. Preferably, a rule related to a professional type and an inspection type of an item to be inspected is selected from each inspection specification to serve as an inspection treaty, for example, the name of the item to be inspected is determined to be an east liter science and technology park No. 1 building, the professional type is a high-rise residential building, and when the inspection type is a security component inspection, N candidate rules related to a cell monitoring system, a cell intelligent alarm system and a comprehensive wiring system are selected together from a residential design specification and a residential building security design specification related to security as N inspection treaties of the item to be inspected; when the examination type is the examination of a building structure, N candidate rules related to structural calculation analysis, frame structure design and the like are selected from the technical code of the concrete structure of the high-rise building as N examination rules of the item to be examined, wherein the N examination rules can be related to the structural examination of the high-rise building, for example, the N examination rules can be 6.4.1 in the technical code of the concrete structure of the high-rise building, and the side length of a rectangular section column is not suitable to be less than 250mm when the non-earthquake-proof design is performed; and item 6.4.3, the aspect ratio of the column cross section is not preferably greater than 3. Other regulations may also be selected as the auditing rules according to the auditing needs, and are not limited herein.
After determining N censoring treatises and building information model diagrams of the item to be censored, step S104 is executed: and determining a corresponding examination result for the to-be-examined item based on the examination treaty of the to-be-examined item and the building information model diagram.
Specifically, the examination treaty of the item to be examined and the building information model diagram can be input into an artificial intelligence examination model, and whether the input building information model diagram accords with the corresponding examination rule can be directly determined through convolution operation and pooling processing of a plurality of hidden layers in the artificial intelligence examination model. The artificial intelligence examination model is obtained after deep learning training based on collection of a large number of building model diagrams and corresponding examination results. Specifically, the deep learning algorithm may be a convolutional neural network, a feedforward neural network, a recurrent neural network, or the like, and the specific deep learning algorithm is not limited herein.
In one embodiment, as shown in fig. 2, based on the examination treaty of the to-be-examined item and the building information model diagram, determining the examination result corresponding to the to-be-examined item specifically includes:
s1041: extracting characteristic parameters of a building information model diagram contained in the project to be checked to obtain L characteristic parameters corresponding to the building information model diagram; l is an integer of 1 or more;
s1042: decomposing the building information model diagram based on the L characteristic parameters to obtain M model components;
s1043: processing an ith model component in the M model components based on the N examination treatises to obtain an examination result corresponding to the ith model component; i is an integer of 1 or more and M or less.
Specifically, the L feature parameters in S1041 may be feature parameter information of a building information model diagram identified by the artificial intelligence inspection model, for example: basic characteristic parameters such as length, width, height, thickness, radian, angle, slope and the like. Further, the L feature parameters may also be basic feature parameter information of each basic component in the building information model diagram. In addition, supplementary feature parameters obtained by further calculating the above basic feature parameters, such as an area, a volume, a load, etc. of the basic member of the building information model may be included, wherein the area and the volume parameters may be calculated by size information such as a length, a width, a height, etc., and the load parameters may be calculated based on the area, the directly extracted weight, etc. The L feature parameters may be set according to the examination requirements, and may be, for example, 100, 200, 500, 1000, etc., which is not limited herein.
The more the number of the L feature parameters is extracted, the more complete the details of the building information model diagram are, and the building information model diagram can be accurately decomposed in the next step.
After obtaining the L feature parameters, step S1042 is executed to decompose the building information model diagram based on the L feature parameters, so as to obtain M model members. For example, in the high-rise building concrete structure model, the building may be decomposed into a plurality of floors based on L building height parameters and floor height parameters, resulting in M-floor model members. The model members may also be units with smaller granularity, for example, the M model members may be 5 frame beams, 10 frame columns, and 4 shear walls, where m=19, and the model members may be set to other types and numbers according to the inspection requirements, which is not limited herein.
And executing a step S1043 on the basis, wherein the ith model component in the M model components is processed based on the N examination treatises, the N examination treatises are used for traversing the M model components, N judgment results corresponding to the ith model component and the N examination treatises are obtained, and the examination result of the ith model component is determined based on the N judgment results. The other model components are then processed accordingly.
For example, when n=2 and m=19, the 1 st model component of the 19 model components is processed based on the 2 censoring regulations, so as to obtain 2 determination results corresponding to the 1 st model component and the 2 censoring regulations, and the censoring result of the 1 st model component is determined based on the 2 determination results. Then, the same processing is performed on the 2 nd model component and other model components to obtain the inspection result of each model component, which is not described herein.
Wherein, the 2 examination regulations can be regulations corresponding to the structural examination regulations of 2 high-rise buildings, for example, 6.4.1 in the technical regulations of high-rise building concrete structure, the side length of a rectangular section column is not suitable to be less than 250mm when the non-earthquake-proof design is performed; and item 6.4.3, the aspect ratio of the column cross section is not preferably greater than 3.
Firstly, when 2 inspection regulations are all inspection regulations related to frame columns, traversing 19 model components by the 2 inspection regulations, wherein 4 shear walls and 5 frame beams do not have correlation with the 2 inspection regulations, and automatically judging the components which do not have correlation with the current inspection regulations as qualified components by an artificial intelligence inspection model, wherein the results obtained after the inspection of the 4 shear walls and the 5 frame beams are all qualified.
Secondly, 10 frame columns have correlation with the 2 examination regulations, at this time, an artificial intelligent examination model carries out specific examination on the 10 frame columns, and a 1 st frame column is taken as an example for explanation, firstly, whether the frame columns accord with 6.4.1 th in technical regulations of high-rise building concrete structure or not is judged, and according to the length and width information in L characteristic parameters extracted in the step S1041, the length of a rectangular section of the 1 st frame column is 400mm, the width is 320mm, and the rule that the side length of the 6.4.1 th rectangular section column is not suitable to be less than 250mm (non-earthquake-proof design) is satisfied; further, according to the width and height information obtained by extracting the characteristic parameters, the width of the frame column is 320mm, the height of the frame column is 780mm, the height-width ratio of the column section of the 1 st frame column is 2.4 after calculation, and the specification that the height-width ratio of the column section of the 6.4.3 th frame column is not suitable to be larger than 3 is met. When the 1 st frame column meets the regulations of the 6.4.1 th and 6.4.3 th simultaneously, obtaining the inspection result corresponding to the 1 st frame column as qualified; and when the 2 nd frame column does not accord with at least one of the 6.4.1 th or the 6.4.3 th frame column, obtaining the inspection result corresponding to the 2 nd frame column as disqualification.
The inspection process of other frame posts is similar to the inspection process of the 1 st frame post and the 2 nd frame post, and is not repeated here.
Through the intelligent examination, M examination results are obtained, manual auxiliary examination is carried out on the secondary basis, examination personnel can carry out screening and inquiring on specific attributes of specific components, and compliance manual judgment is carried out according to the inquiring results and relevant specification regulations based on the building information model diagram and N examination rules. Specifically, a secondary manual auxiliary inspection may be performed in the components whose inspection results are failed, and the number of components that are qualified therein may be screened. The second inspection may be performed on the member whose inspection result is acceptable, and the model member whose inspection result is unacceptable may be screened.
According to the result of the artificial auxiliary examination, the examination data can be marked, and further the artificial intelligent examination model is subjected to deep learning training.
In one embodiment, the method further comprises:
s1044: classifying the M model components based on examination results respectively corresponding to the M model components to obtain a first set and a second set; wherein the first set comprises P model components with qualified examination results, and the second set comprises M-P model components with unqualified examination results; p is an integer.
For example, the above 19 model members are classified to obtain a first set that may include 15 model members, and a second set that includes 4 model members.
In addition, the examination results can be classified according to dimensions such as different examination professions, examination specifications, spatial topological relations, attribute missing and the like. For example, a third set may include 20 frame column model members, a fourth set may include 15 frame beam model members, and so on, without limitation.
In one embodiment, the method further comprises:
s1045: and displaying the model components in the second set based on preset display attributes.
The preset display attribute may be a highlighting mode of a specific building information model member preset in the inspection system, for example, the preset attribute may be displayed in response to a mouse stay on the specific model member, or an option corresponding to the preset display attribute may be selected in response to a right click operation on the specific model member. The highlighting means includes highlighting the mold member, or isolating the mold member, and lowering the surrounding members for visualization, and the like, but is not limited thereto.
The model members in the second set may be automatically displayed according to preset display attributes after the inspection results of the M model members are obtained. For example, if the second set includes 4 model members, the system will highlight the 4 model members in the second set by default, and the user may switch the display modes by manual operation according to the preset display attribute, which is not limited herein.
In one embodiment, the method further comprises:
s1046: and generating relevance endorsements of the model components in the second set according to the examination results respectively corresponding to the M model components, wherein the relevance endorsements comprise one or more of N examination strips.
Specifically, an association annotation area may be set in the examination result display interface, as shown in fig. 3, and all model components in the second set are subjected to association annotation, where the association annotation of each model component includes one or more disqualified examination treaties corresponding to the association annotation. For example, the relevance annotation may be: the 1 st frame column does not accord with the 6.4.1 th in the technical regulations of the concrete structure of the high-rise building, and the 3 rd frame beam does not accord with the 6.5.8 th in the technical regulations of the concrete structure of the high-rise building.
Meanwhile, the method can perform operations such as adding, deleting, modifying, inquiring and the like on the annotation, and details are not repeated here.
Based on the above-mentioned examination results and the relevance annotation, automatic generation of an examination report of the building information model can be realized. Specifically, the review report in different formats can be obtained through one-key preview or one-key generation. The content of the examination report comprises annotation characters, model position pictures, corresponding drawing data and the like, wherein a complex space topology model can be attached with space description pictures.
In addition, the method can also realize the functions of information viewing, data association, multi-screen linkage, sectioning, sketch drawing, annotation view switching, view management, rendering setting, attribute list and the like of the model component, and the detailed description is omitted here.
In a second aspect, an embodiment of the present application provides a data processing apparatus, as shown in fig. 4, including:
a data acquisition module 401, configured to acquire data of a project to be examined;
the data analysis module 402 is configured to analyze the data of the to-be-inspected item to obtain a building information model diagram included in the to-be-inspected item and attribute information of the to-be-inspected item;
a treaty determining module 403, configured to determine an examination treaty for the item to be examined based on attribute information of the item to be examined;
and the examination module 404 is configured to determine an examination result corresponding to the item to be examined based on the examination treaty of the item to be examined and the building information model diagram.
In one embodiment, the context determination module 403 is configured to:
selecting N candidate rules from a preset candidate rule base based on the attribute information of the item to be checked as N check rules of the item to be checked; n is an integer greater than or equal to 1.
In one embodiment, as shown in fig. 5, the censoring module 404 includes:
an extracting unit 4041, configured to extract feature parameters of a building information model map included in the project to be examined to obtain L feature parameters corresponding to the building information model map; l is an integer of 1 or more;
a decomposition unit 4042, configured to decompose the building information model map based on the L feature parameters, to obtain M model components;
a review unit 4043, configured to process an ith model member of the M model members based on the N review articles, to obtain a review result corresponding to the ith model member; i is an integer of 1 or more and M or less.
In one embodiment, as shown in fig. 6, the apparatus further includes a classification module 405 for:
classifying the M model components based on examination results respectively corresponding to the M model components to obtain a first set and a second set; wherein the first set comprises P model components with qualified examination results, and the second set comprises M-P model components with unqualified examination results; p is an integer.
In one embodiment, as shown in fig. 6, the apparatus further includes a display module 406 for displaying the model members in the second set based on preset display attributes.
In one embodiment, as shown in fig. 6, the apparatus further includes an annotating module 407, configured to generate, according to the inspection results corresponding to the M model components, an association annotation of the model components in the second set, where the association annotation includes one or more of N inspection strips.
According to embodiments of the present application, an electronic device and a readable storage medium are also provided.
As shown in fig. 7, is a block diagram of an electronic device according to an embodiment of the present application. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the application described and/or claimed herein.
As shown in fig. 7, the electronic device includes: one or more processors 701, memory 702, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple electronic devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). Fig. 7 illustrates an example of a processor 701.
Memory 702 is a non-transitory computer-readable storage medium provided herein. Wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the image-based question determination methods provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the image-based question determination method provided by the present application.
The memory 702 is used as a non-transitory computer readable storage medium for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the image-based question determination method in the embodiments of the present application. The processor 701 executes various functional applications of the server and data processing by running non-transitory software programs, instructions, and modules stored in the memory 702, that is, implements the image-based question-judging method in the above-described method embodiment.
Memory 702 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created according to the use of the electronic device, etc. In addition, the memory 702 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 702 may optionally include memory located remotely from processor 701, which may be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device may further include: an input device 703 and an output device 704. The processor 701, the memory 702, the input device 703 and the output device 704 may be connected by a bus or otherwise, in fig. 7 by way of example.
The input device 703 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device, such as a touch screen, keypad, mouse, trackpad, touchpad, pointer stick, one or more mouse buttons, trackball, joystick, and like input devices. The output device 704 may include a display apparatus, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device may be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASIC (application specific integrated circuit), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
These computing programs (also referred to as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions disclosed in the present application can be achieved, and are not limited herein.
The above embodiments do not limit the scope of the application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application are intended to be included within the scope of the present application.
Claims (14)
1. A data processing method, comprising:
acquiring project data to be checked;
analyzing the project data to be inspected to obtain a building information model diagram contained in the project to be inspected and attribute information of the project to be inspected; the attribute information comprises an item creation enterprise name, an item examination type and an item specialty type;
determining an examination treaty for the to-be-examined item based on the attribute information of the to-be-examined item;
determining an examination result corresponding to the item to be examined based on the examination treaty of the item to be examined and the building information model diagram; the examination result comprises an examination result of a model component, wherein the model component is obtained by extracting characteristic parameters of a building information model diagram contained in the project to be examined to obtain L characteristic parameters corresponding to the building information model diagram, and decomposing the building information model diagram based on the L characteristic parameters; and L is an integer greater than or equal to 1.
2. The method of claim 1, wherein determining an audit trail for the item under audit based on attribute information of the item under audit comprises:
selecting N candidate rules from a preset candidate rule base based on the attribute information of the item to be checked as N check rules of the item to be checked; n is an integer greater than or equal to 1.
3. The method of claim 2, wherein determining the inspection result corresponding to the item under inspection based on the inspection rule of the item under inspection and the building information model graph comprises:
decomposing the building information model diagram based on the L characteristic parameters to obtain M model components; m is an integer greater than or equal to 1;
and respectively processing the M model components based on the N examination regulations to obtain examination results respectively corresponding to the M model components.
4. A method according to claim 3, wherein the method further comprises:
classifying the M model components based on examination results respectively corresponding to the M model components to obtain a first set and a second set; wherein the first set comprises P model components with qualified examination results, and the second set comprises M-P model components with unqualified examination results; p is an integer.
5. The method of claim 4, wherein the method further comprises:
and displaying the model components in the second set based on preset display attributes.
6. The method of claim 4, wherein the method further comprises:
and generating relevance endorsements of the model components in the second set according to the examination results respectively corresponding to the M model components, wherein the relevance endorsements comprise one or more of the N examination strips.
7. A data processing apparatus comprising:
the data acquisition module is used for acquiring the project data to be checked;
the data analysis module is used for analyzing the data of the project to be inspected to obtain a building information model diagram contained in the project to be inspected and attribute information of the project to be inspected; the attribute information comprises an item creation enterprise name, an item examination type and an item specialty type;
a treaty determining module for determining an examination treaty for the to-be-examined item based on the attribute information of the to-be-examined item;
the examination module is used for determining examination results corresponding to the to-be-examined items based on examination treatises of the to-be-examined items and the building information model diagram; the examination result comprises an examination result of a model component, wherein the model component is obtained by extracting characteristic parameters of a building information model diagram contained in the project to be examined to obtain L characteristic parameters corresponding to the building information model diagram, and decomposing the building information model diagram based on the L characteristic parameters; and L is an integer greater than or equal to 1.
8. The apparatus of claim 7, wherein the treaty determination module is configured to select N candidate rules from a preset candidate rule base as N censored treaties of the item to be censored based on attribute information of the item to be censored; n is an integer greater than or equal to 1.
9. The apparatus of claim 8, wherein the auditing module comprises:
the decomposing unit is used for decomposing the building information model diagram based on the L characteristic parameters to obtain M model components; m is an integer greater than or equal to 1;
and the examination unit is used for respectively processing the M model components based on the N examination regulations to obtain examination results respectively corresponding to the M model components.
10. The apparatus of claim 9, wherein the apparatus further comprises a classification module configured to classify the M model members based on the inspection results respectively corresponding to the M model members to obtain a first set and a second set; wherein the first set comprises P model components with qualified examination results, and the second set comprises M-P model components with unqualified examination results; p is an integer.
11. The apparatus of claim 10, wherein the apparatus further comprises a presentation module to present model members in the second set based on preset display attributes.
12. The apparatus of claim 10, wherein the apparatus further comprises an annotating module configured to generate an affinity annotation for a model component in the second set according to the inspection results corresponding to the M model components, the affinity annotation including one or more of the N inspection strips.
13. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
14. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1-6.
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| CN114936835A (en) * | 2022-04-26 | 2022-08-23 | 东南大学 | BIM-based compliance automatic review method and system |
| CN114638596B (en) * | 2022-05-09 | 2022-09-02 | 广州城市信息研究所有限公司 | Natural resource business process examination method, system, equipment and medium |
| CN114972659B (en) * | 2022-07-28 | 2022-11-01 | 江西少科智能建造科技有限公司 | Method and system for converting two-dimensional drawing into three-dimensional model for drawing examination |
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| CN117235867B (en) * | 2023-10-31 | 2024-04-26 | 北京构力科技有限公司 | BIM planning report modeling examination method, device, equipment and storage medium |
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