CN113778961B - Production management method, device and system for CIM model data - Google Patents
Production management method, device and system for CIM model data Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2291—User-Defined Types; Storage management thereof
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G06F30/00—Computer-aided design [CAD]
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- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
Abstract
The invention discloses a production management method, a device and a system of CIM model data. The production management device comprises a file receiving unit, a reading conversion unit and an examination storage unit. The production management system comprises a production management module and a user interaction module. According to the production management method, the batch production management method, the device and the system, the third-party software is not needed to transfer and perform format conversion, and format conversion and examination are directly performed, so that convenience of the model data examination and management process is improved, and safety of the model data management process is also improved.
Description
Technical Field
The invention relates to the field of production management of CIM model data, in particular to a production management method, a device and a system of CIM model data.
Background
In recent years, with the development of BIM (building information model) applications, BIM is also applied to various industries. The national city of two, three and one lines and the national key experiment city have started to implement the approval examination of the BIM model. At present, for convenience of transmission and examination, the BIM model data is required to be subjected to lightweight processing uniformly, and the format after processing is GLTF.
In the prior art, the BIM is usually lightened into the GLTF format, then the BIM model is examined separately, and after the examination is passed, the BIM model in the GLTF format is delivered to the CIM examination platform for the next examination. In the further examination process, after the CIM examination platform receives the BIM data in the GLTF format, the data administrator issues the BIM model data in the GLTF format as a three-dimensional model service in the I3S standard through third-party software (such as ArcGIS), and updates the service address URI into the data source list of the CIM platform, so that when the CIM loads data, the platform can load the required BIM model data service as required, and then perform further examination.
However, the prior art still has the following problems: 1. the working procedure is complicated, and because links of data collection, manual data conversion and data service address updating exist in the middle, a CIM examiner does not know whether all BIM data loaded is the latest model data or not, and therefore if the point needs to be determined, the data examiner needs to communicate with a data manager; 2. the security is not high, and the data file has a risk of leakage because third-party software is required for conversion; 3. the data volume is huge, searching and updating are not convenient, a CIM platform contains a lot of BIM model data, a data administrator cannot know the coming and going pulse of the BIM model data in complicated and small amount of information easily, and the issued BIM service URI needs to be searched and updated manually, so that the problems of uncertainty of data significance, difficulty in ensuring data correctness and responsibility blank exist.
Therefore, there is a need for a method, an apparatus and a system for managing production of CIM model data, so as to solve the above-mentioned problems in the prior art.
Disclosure of Invention
In view of the above-mentioned technical problems, an object of the present invention is to provide a method, an apparatus and a system for managing production of model data in a format, so as to further improve the convenience of the production management process of model data.
The invention provides a production management method of CIM model data, which comprises the following steps: receiving a first model data file to be produced and managed and a corresponding first attribute data file; wherein, the first model data file is in a GLTF format; converting and generating a second model data file according to the first model data file, the first attribute data file and a preset protocol standard of an I3S library; wherein the second model data file is in an SLPK format; and sending the second model data file to a user for examination, and storing the second model data file when an examination passing instruction is received.
In one embodiment, before receiving the first model data file to be production managed and the corresponding first attribute data file, the production management method further comprises: and receiving the model data file, and screening and acquiring a first model data file according to a preset resource texture data screening rule.
In an embodiment, the converting, according to the first model data file, the attribute data file, and a preset I3S library protocol standard, to generate a second model data file includes: performing recursive reading on the first model data file according to a preset reading level sequence to obtain a physical rendering data group; creating and generating a second model data file according to the physical rendering data group, the attribute data file and a preset I3S library protocol standard; wherein the second model data file is in an SLPK format.
The invention also provides a batch production management method of the model data, which comprises the following steps: respectively acquiring source file information of a plurality of source files to be produced and managed in batch, and respectively and correspondingly judging the types of the corresponding source files according to the source file information; when the source file is a first file in a single GLTF format, taking the first file as a model data file, and executing the production management method of the CIM model data on the model data file; when the source file is a second set description file or a second folder of data files with a plurality of GLTF formats, correspondingly analyzing and acquiring all second files corresponding to the second set description file or the second folder; and respectively and sequentially taking the second files as model data files, and respectively and sequentially executing the production management method of the CIM model data on the model data files.
The invention also provides a production management device of the CIM model data, which comprises a file receiving unit, a reading conversion unit and an examination storage unit, wherein the file receiving unit is used for receiving a first model data file to be produced and managed and a corresponding first attribute data file; wherein, the first model data file is in a GLTF format; the reading conversion unit is used for converting and generating a second model data file according to the first model data file, the first attribute data file and a preset I3S library protocol standard; wherein the second model data file is in an SLPK format; the examination storage unit is used for sending the second model data file to a user for examination and storing the second model data file when an examination passing instruction is received.
In an embodiment, the production management apparatus further includes a data filtering unit, where the data filtering unit is configured to receive the model data file, and filter and acquire the first model data file according to a preset resource texture data filtering rule.
The invention also provides a production management system of the CIM model data, which comprises a production management module and a user interaction module, wherein the production management module is in communication connection with the user interaction module, the production management module is used for executing the batch production management method of the model data, and the user interaction module is used for receiving and displaying the second model data file to a user and receiving an examination passing instruction input by the user.
In one embodiment, the user interaction module includes a touchable/touchable display screen, an input keyboard, a virtual keyboard, indicator lights, audio devices, and combinations of one or more of the foregoing.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention provides a production management method, a batch production management method, a device and a system of CIM model data, which directly convert a first model data file in a GLTF format into a second model data file in an SLPK format and directly send the second model data file to a user for examination.
Further, the method, the device and the system for managing the mass production of the model data provided by the invention also circularly analyze the source files of the set description file type and the folder type by judging the type of the source file to obtain a single GLTF format data file, and execute the method on the single GLTF format data file, thereby realizing the mass production management of the source files of various GLTF formats.
Drawings
The invention will be further described with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart illustrating one embodiment of a method for production management of CIM model data in accordance with the present invention;
FIG. 2 is a flow chart illustrating an embodiment of a method for batch production management of CIM model data according to the present invention;
FIG. 3 is a block diagram showing an embodiment of a production management apparatus of CIM model data according to the present invention;
FIG. 4 is a block diagram of an embodiment of a production management system for CIM model data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Detailed description of the preferred embodiment
The embodiment of the invention first describes a method for managing the mass production of model data. FIG. 1 shows a flow chart of an embodiment of a production management method of CIM model data according to the invention. As shown in fig. 1, the production management method includes the steps of:
and S1, receiving a first model data file to be produced and managed and a corresponding first attribute data file.
For convenience of transmission and examination, the BIM model data is required to be processed into a GLTF format through weight reduction, and therefore, the first model data file is in the GLTF format.
In order to accurately describe and render the model, in addition to the model data itself, an attribute data file for describing service information or graphic display information parameters should be included, so that the attributes of the first model data file are described by dynamically assigning attribute data or providing a first attribute data file in a data format such as json or excels, or by drawing graphic display parameters such as colors and graphic style sheet associations. The attribute standard style is described by using attributes and is designed by adopting a K-V key value pair.
In practical application, in consideration of the discreteness of data files and the data volume, a thread pool is constructed to repeatedly exert the system performance, the utilization rate of a CPU is reduced, and the utilization rate of a hard disk is reasonably exchanged; meanwhile, due to the discreteness and the structuralization of the file, a large amount of circulation and traversal access operations exist, a memory pool is built, the generation of memory fragments is effectively reduced, and the data operation processing efficiency is improved.
Specifically, when a thread pool is adopted, a daemon thread is blocked under the condition that a task queue is empty, and when a task is added, the daemon thread is activated to inform the thread of acquiring the task; under the condition of no idle thread, the daemon thread is blocked, and when the idle thread exists, the daemon thread is activated to inform the idle thread to acquire tasks; when the memory pool is adopted, firstly applying for a continuous memory space, wherein the memory space can contain a certain number of objects; each object and a pointer pointing to the next object form a Memory Node; each idle memory node forms a linked list through a pointer, and each memory node of the linked list is a memory space for allocation; once a certain memory node is distributed, removing the memory node from the idle memory node linked list; once the space of a certain memory node is released, the node is added into the free memory node linked list again; if all memory nodes of a memory block are allocated completely, if the program continues to apply for a new object space, a memory block will be applied again to accommodate a new object, and the newly applied memory block will be added to the memory block linked list.
In one embodiment, a double-buffer task queue is adopted in a thread pool, so that the mutual influence of reading and writing tasks is reduced, and the efficiency of putting in and taking out the tasks is improved; when the thread pool is destroyed, the daemon thread is waited to exit, and the daemon thread waits for all threads to exit before exiting. In one embodiment, an add-delete thread policy is provided in thread pool work, with threads added and deleted by a daemon thread, threads added at one time when a task queue is not empty, and threads deleted one by one when there are idle threads.
And S2, converting and generating a second model data file according to the first model data file, the first attribute data file and a preset I3S library protocol standard.
Since the CIM audit platform requires that the model data file is required to be a three-dimensional model service in the I3S standard, if a first model data file (GLTF format) is to be audited, the first model data file is required to be converted into a three-dimensional model service in the I3S standard (SLPK format), and therefore, after the first model data file is received, a second model data file in the SLPK format is required to be generated by conversion according to the first model data file, the first attribute data file and a preset I3S library protocol standard.
In one embodiment, the conversion process is specifically: performing recursive reading on the first model data file according to a preset reading level sequence to obtain a physical rendering data group; and creating and generating a second model data file according to the physical rendering data group, the attribute data file and a preset I3S library protocol standard.
Wherein the preset reading level sequence is scene-node-nodeb-mesh-mehspprivate. Before reading according to the reading level sequence, the coordinate origin, the coordinate information and the output file type of the first model data file need to be analyzed, so that a coordinate conversion tool kit is created according to the coordinate origin and the coordinate information, and then a reader-writer is created according to the coordinate origin and the output file type. In one embodiment, the recursive reading of the first model data file according to the preset reading level sequence is performed by the reader/writer. The method comprises the steps of analyzing a single GLTF file to form scene-node-mesh-pushprivate hierarchical detail association, binding rotation, translation, scaling matrix and PBR texture material information (physical rendering material information), applying resources from a thread pool according to each file level, applying resources to the thread pool inside each file analysis for data analysis one by one, adopting json coding sequence analysis construction, and forming a json structure object after analysis.
Specifically, the process of reading the first model data file is as follows: reading spatial transformation parameters matrix, transformation, scale and rotation in a node level; and then, reading physical rendering material information at the mesh private layer, directly converting and analyzing information corresponding to the space conversion parameters into a coordinate container (wherein the container is accessed according to the index, and a triangular patch rule decoupling data set needs to be installed for shared node data) at the mesh layer, and finishing traversal recursive reading so as to obtain a physical rendering data set. In one embodiment, the physical rendering dataset includes a physical rendering material container linked list and a set of geometry information (covering Position, UV, Color, etc.).
In one embodiment, creation of the second model data file in the SLPK format is also performed by the reader.
Specifically, the creating and generating process of the second model data file is as follows: adopting K-V structure data to analyze a first attribute data file, defining a metadata structure name field of a node of an SLPK according to a GLTF file name, directly providing Position, UV and Color to a pushbulk collection object of the node of the SLPK, analyzing material data according to physical rendering material information bound by a mesh object, firstly judging whether the data exists in a material container table, if so, directly obtaining the data, if not, judging a material source format type, establishing a texture buffer, providing parameter information in the physical rendering material to a material structure of the node object, establishing an attribute field table, converting the mesh attribute to provide an attribute buffer of the node, storing and storing the node, traversing the recursion to establish a next node, judging whether the recursion is ended, providing a child node list to a father node if the recursion is ended, and establishing and writing the father node; if the recursion is not finished, a new round of creation generation process is continued.
In one embodiment, an analytic process structure is defined by using an uncoupled data structure, rapid k-v access container data is constructed, a scene-node container list is constructed, a key is a scene _ name, a node-node container list is constructed, the key is a node, the node structure comprises a message, a mesh container list is constructed, the key is a message, a materials container list is constructed, the key is a matrix, reading of a target node is completed through a connecting relation of the scene-node-message-matrix, and the target node is used as an intermediate transfer data structure type to achieve decoupling and standardized output data structure dictionary of multi-source heterogeneous data.
In one embodiment, when the final data conversion process is executed by using the I3S library protocol standard, a thread pool resource is independently applied for multiple discrete files to run, a thread task access list is established for geometric data and texture data in the files according to the memory size of an operating system, the size of a hard disk space and the availability of a CPU with the utilization rate of resources not lower than 50%, the thread pool resource is independently applied for processing, the thread task access list is directly acquired in a K-V object container for a shared data node and a data node, the opening and application of a secondary memory are avoided, and the analysis and construction processes are reduced.
And S3, sending the second model data file to a user for examination, and storing the second model data file when an examination passing instruction is received.
And after the first model data file is converted into a second model data file in an SLPK format, sending the second model data file to a user through a CIM platform to perform quality inspection on the SLPK data in the second model data file, thereby inspecting the information such as the geometry, the attribute, the version and the like of the data. When the user reviews the second model data file to be in accordance with the quality inspection rule, an inspection passing instruction is input into the CIM platform, and the CIM platform stores the second model data file into the data source list after receiving the inspection passing instruction so as to be issued later. In the step, if the data quality inspection rule is met, the platform automatically releases the data type according to the SLPK into the GIS service of the corresponding type, and meanwhile, the platform can record the uploading time, the version information of a creator and the service and can automatically update the data service according to the new version number of the SLPK; after the service is released, the data service is registered for service through a CIM basic platform and is applied to the CIM basic platform; if the version data is released, the system compares the version number of the SLPK data, if the version number is newer, the data service and the version number are automatically updated and recorded on the platform for managing the data version of the SLPK.
In one embodiment, if the data quality inspection rule is not met, the user inputs an instruction of rejecting issuing to reject the automatic issuing service to the platform, and feeds back the result of the data quality inspection to the data issuer.
In one embodiment, before receiving the first model data file to be production managed and the corresponding first attribute data file, the production management method further comprises: and receiving the model data file, and screening and acquiring a first model data file according to a preset resource texture data screening rule. The purpose of this step is to screen out the failing resource texture data (e.g., the Jpeg data with Alpha channel, unifying PNG images of different digits).
In one embodiment, after receiving the model data file and obtaining the first model data file by filtering according to the preset resource texture data filtering rule, the production management method further includes: the texture data is regularized to form a frame and memory size that is an exponential multiple of 2. By regularizing the resource texture data, rapid texture binding can be realized, so that efficient rendering can be realized.
The invention provides a production management method of CIM model data, which directly converts a first model data file in a GLTF format into a second model data file in an SLPK format and directly sends the second model data file to a user for examination.
Detailed description of the invention
Furthermore, the embodiment of the invention also describes a batch production management method of the model data. FIG. 2 is a flow chart of an embodiment of a method for managing mass production of CIM model data according to the present invention.
As shown in fig. 2, the mass production management method includes the steps of:
a1, respectively obtaining source file information of a plurality of source files to be produced and managed in batch, and respectively and correspondingly judging the types of the corresponding source files according to the source file information.
The source file type comprises a single file in a GLTF format, a collection description file of the GLTF file and a GLTF folder.
A21, when the source file is a first file in a single GLTF format, the first file is used as a model data file, and the production management method of CIM model data is executed on the model data file.
A22, when the source file is a second set description file or a second folder of data files with multiple GLTF formats, correspondingly analyzing and acquiring all second files corresponding to the second set description file or the second folder.
The type of the second set description file is a set description file of the GLTF file, and the type of the second folder is a GLTF folder.
In an embodiment, the process of parsing and obtaining all the second files of the second set description file specifically includes: and analyzing the second set description file to obtain all file sets corresponding to the second set description file, constructing a first file linked list container according to all the file sets, and circularly and sequentially analyzing and converting each file through the first file linked list container so as to correspondingly obtain a plurality of second files. In the conversion process, each file is used as a sub-graph layer.
In an embodiment, the process of analyzing and acquiring all the second files of the second folder specifically includes: and recursively traversing the whole second folder to obtain all file sets corresponding to the second folder, constructing a file hierarchy relation and a corresponding second container linked list according to all the file sets corresponding to the second folder, and circularly and sequentially analyzing and converting each file through the second container linked list so as to correspondingly obtain a plurality of second files. In the conversion process, each file is used as a sub-graph layer.
And A32, respectively and sequentially using the second files as model data files, and respectively and sequentially executing the production management method of the CIM model data on the model data files.
According to the production management method of the CIM model data, the second files are analyzed and converted respectively and sequentially (S1-S2), whether other second files need to be analyzed is judged in each conversion, if so, the conversion process is repeated, otherwise, the root node is written, the reader is closed, and the conversion process is exited. In an embodiment, the process of uploading and reviewing all the analyzed and converted files may be performed separately, or may be performed in a unified manner after all the second files are converted.
The invention provides a production management method, a batch production management method, a device and a system of CIM model data, wherein a first model data file in a GLTF format is directly converted into a second model data file in an SLPK format, and the second model data file is directly sent to a user for examination; further, the method and system for managing the mass production of model data provided by the invention also circularly analyze the source files of the set description file type and the folder type by judging the type of the source file to obtain a single GLTF format data file, and execute the method on the single GLTF format data file, thereby realizing the mass production management of the source files of various GLTF formats.
Detailed description of the preferred embodiment
Besides the method, the embodiment of the invention also describes a production management device of CIM model data. Fig. 3 is a block diagram showing an embodiment of a production management apparatus of CIM model data according to the present invention.
As shown in the figure, the production management apparatus includes a document receiving unit 11, a reading conversion unit 12, and an audit storage unit 13.
The file receiving unit 11 is configured to receive a first model data file to be production managed and a corresponding first attribute data file. Wherein, the first model data file is in a GLTF format.
The reading conversion unit 12 is configured to convert the first model data file, the first attribute data file, and a preset I3S library protocol standard to generate a second model data file. Wherein the second model data file is in an SLPK format.
The examination storage unit 13 is configured to send the second model data file to a user for examination, and store the second model data file when receiving an examination passing instruction.
When the model data file in the GLTF format needs to be produced and managed, the production management apparatus first receives a first model data file to be produced and managed and a corresponding first attribute data file through the file receiving unit 11; then, a second model data file is generated by converting the reading conversion unit 12 according to the first model data file, the first attribute data file and a preset I3S library protocol standard; finally, the second model data file is sent to the user for examination through the examination storage unit 13, and the second model data file is stored when an examination passing instruction is received.
In an embodiment, the production management apparatus further includes a data filtering unit, where the data filtering unit is configured to receive the model data file, and filter and acquire the first model data file according to a preset resource texture data filtering rule.
In one embodiment, the production management apparatus further includes a batch processing unit, where the batch processing unit is configured to obtain source file information of a plurality of source files to be subjected to batch production management, and correspondingly determine types of the corresponding source files according to the source file information; when the source file is a first file in a single GLTF format, taking the first file as a model data file, and executing the production management method of the CIM model data on the model data file; when the source file is a second set description file or a second folder of data files with a plurality of GLTF formats, correspondingly analyzing and acquiring all second files corresponding to the second set description file or the second folder; and respectively and sequentially taking the second files as model data files, and respectively and sequentially executing the production management method of the CIM model data on the model data files.
The invention provides a production management device of CIM model data, which directly converts a first model data file in a GLTF format into a second model data file in an SLPK format and directly sends the second model data file to a user for examination, and the production management device directly performs format conversion and examination without transferring and performing format conversion through third-party software, so that the convenience of the examination and management processes of the model data is improved, and the safety of the model data management process is also improved; furthermore, the device for managing the production of the CIM model data provided by the present invention also obtains a single GLTF format data file by determining the type of the source file, circularly parsing the source file of the set description file type and the folder type, and executing the method described above on the single GLTF format data file, thereby implementing the batch production management of the source files of multiple GLTF formats.
Detailed description of the invention
Besides the method and the device, the invention also describes a production management system of CIM model data. FIG. 4 is a block diagram of an embodiment of a production management system for CIM model data according to the present invention.
As shown in the figure, the production management system comprises a production management module 1 and a user interaction module 2, wherein the production management module 1 is in communication connection with the user interaction module 2.
The production management module 1 is used to execute the mass production management method of model data as described above.
And the user interaction module 2 is used for receiving and displaying the second model data file to a user and receiving an examination passing instruction input by the user.
In one embodiment, the user interaction module 2 includes a touchable/touchable display screen, an input keyboard, a virtual keyboard, indicator lights, audio devices, and combinations of one or more of the foregoing.
The invention provides a production management system of CIM model data, which directly converts a first model data file in a GLTF format into a second model data file in an SLPK format and directly sends the second model data file to a user for examination, and the production management system directly performs format conversion and examination without transferring and performing format conversion through third-party software, so that the convenience of the examination and management process of the model data is improved, and the safety of the model data management process is also improved; furthermore, the production management system of CIM model data provided by the invention also circularly analyzes the source files of the set description file type and the folder type by judging the type of the source file to obtain a single GLTF format data file, and executes the method on the single GLTF format data file, thereby realizing the batch production management of the source files of various GLTF formats.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (7)
1. A production management method of CIM model data is characterized by comprising the following steps:
receiving a first model data file to be produced and managed and a corresponding first attribute data file; wherein, the first model data file is in a GLTF format;
converting and generating a second model data file according to the first model data file, the first attribute data file and a preset protocol standard of an I3S library; wherein the second model data file is in an SLPK format; according to the first model data file, the first attribute data file and a preset protocol standard of an I3S library, converting to generate a second model data file, specifically: performing recursive reading on the first model data file according to a preset reading level sequence to obtain a physical rendering data group; creating and generating a second model data file according to the physical rendering data group, the first attribute data file and a preset I3S library protocol standard;
and sending the second model data file to a user for examination, and storing the second model data file when an examination passing instruction is received.
2. The production management method of CIM model data according to claim 1, wherein before receiving the first model data file to be production managed and the corresponding first attribute data file, the production management method further comprises:
and receiving the model data file, and screening and acquiring a first model data file according to a preset resource texture data screening rule.
3. A mass production management method of model data, characterized by comprising:
respectively acquiring source file information of a plurality of source files to be produced and managed in batch, and respectively and correspondingly judging the types of the corresponding source files according to the source file information;
when the source file is a first file in a single GLTF format, taking the first file as a model data file, and executing the production management method of CIM model data according to claim 1 or 2 on the model data file;
when the source file is a second set description file or a second folder of data files with a plurality of GLTF formats, correspondingly analyzing and acquiring all second files corresponding to the second set description file or the second folder;
and respectively and sequentially using the second files as model data files, and respectively and sequentially executing the production management method of the CIM model data according to claim 1 or 2 on the model data files.
4. A production management device of CIM model data is characterized in that the production management device comprises a file receiving unit, a reading conversion unit and an examination storage unit, wherein,
the file receiving unit is used for receiving a first model data file to be produced and managed and a corresponding first attribute data file; wherein, the first model data file is in a GLTF format;
the reading conversion unit is used for converting and generating a second model data file according to the first model data file, the first attribute data file and a preset I3S library protocol standard; wherein the second model data file is in an SLPK format; according to the first model data file, the first attribute data file and a preset protocol standard of an I3S library, converting to generate a second model data file, specifically: performing recursive reading on the first model data file according to a preset reading level sequence to obtain a physical rendering data group; creating and generating a second model data file according to the physical rendering data group, the first attribute data file and a preset I3S library protocol standard;
the examination storage unit is used for sending the second model data file to a user for examination and storing the second model data file when an examination passing instruction is received.
5. The apparatus for production management of CIM model data as claimed in claim 4, wherein the apparatus further comprises a data filtering unit, the data filtering unit is configured to receive the model data file and filter and obtain the first model data file according to a preset resource texture data filtering rule.
6. A production management system of CIM model data, comprising a production management module and a user interaction module, wherein the production management module is communicatively connected with the user interaction module, wherein the production management module is configured to execute the method for managing mass production of model data according to claim 3, and the user interaction module is configured to receive and display the second model data file to a user, and receive an examination passing instruction input by the user.
7. The system for production management of CIM model data as claimed in claim 6, wherein the user interaction module comprises a touchable/touchable display screen, an input keyboard, a virtual keyboard, an indicator light, an audio device and combinations of one or more of the foregoing.
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| CN107862049A (en) * | 2017-11-08 | 2018-03-30 | 中国银行股份有限公司 | A kind of data amended record method and device |
| CN111476002A (en) * | 2020-04-07 | 2020-07-31 | 北京东方金信科技有限公司 | Data file coding format conversion method and system |
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| CN107862049A (en) * | 2017-11-08 | 2018-03-30 | 中国银行股份有限公司 | A kind of data amended record method and device |
| CN111476002A (en) * | 2020-04-07 | 2020-07-31 | 北京东方金信科技有限公司 | Data file coding format conversion method and system |
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