CN115953283B - BIM-based collaborative rapid plotting management system - Google Patents
BIM-based collaborative rapid plotting management system Download PDFInfo
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- CN115953283B CN115953283B CN202310004303.XA CN202310004303A CN115953283B CN 115953283 B CN115953283 B CN 115953283B CN 202310004303 A CN202310004303 A CN 202310004303A CN 115953283 B CN115953283 B CN 115953283B
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Abstract
The application discloses a collaborative quick graph management platform based on BIM, which relates to the technical field of quick graph management and comprises a processor, a storage unit and a storage unit, wherein the processor is used for completing the storage operation of a target object and a result object by combining a table unit and the storage unit; the result object stored in the conventional area is automatically deleted after X3 time passes, and X3 is a preset value; obtaining a calibration object and a result object through the related attribute of the result object or through a manual setting mode, and then transmitting the calibration object and the result object to a processor; the storage operation of the target object and the result object is completed by combining the processor with the table unit and the storage unit, the target object and the result object are stored and operated in two different modes, and the encryption protection function is achieved while the storage space is considered; the application is simple and effective.
Description
Technical Field
The application belongs to the technical field of quick graph management, and particularly relates to a collaborative quick graph management system based on BIM.
Background
The patent with publication number CN107609237A discloses a quick drawing method of a technical mark construction site temporary layout diagram based on BIM, which comprises the steps of firstly importing a total plane diagram in a drawing contained in a mark-drawing file into revit2015 software, and naming the total plane diagram as a total plane layout diagram; all the single buildings in the construction range of the bidding documents are modeled in sequence and are imported into a total floor plan; the position of each area of the site is planned, and three-dimensional collision detection of the line is carried out; and after all the construction site temporary layout is completed, the required construction site temporary layout is inserted into the technical standard file. The BIM technology is truly used for the whole-process temporary construction planning design of construction projects, provides site layout design from a bidding stage to a construction stage for construction technicians, solves the defects of slow drawing, non-intuitionistic and great adjustment of the traditional design method, and avoids environmental protection, fire protection and potential safety hazards after construction.
However, for this patent, how to process the drawing of the drawing platform after drawing, and how to store the drawing properly according to the attribute and different importance levels of the drawing, and also how to consider the memory, is a problem, and based on this, a solution is provided.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art;
therefore, the application provides a collaborative rapid graph management system based on BIM, which comprises:
the processor is used for combining the table unit and the storage unit to complete the storage operation of the target object and the result object, and the storage operation is specifically implemented in the following way:
obtaining a result object, and storing the result object in a conventional area of a storage unit, wherein the conventional area is preset by an administrator; the result object stored in the conventional area is automatically deleted after X3 time passes, and X3 is a preset value;
storing the target object in a target area, wherein the target area is preset by an administrator, automatically acquiring an address corresponding to the target object after storing, and marking the address as a target address; all contents of the target area can be skipped only through the target address and cannot be accessed directly;
the processor acquires the target address of the corresponding target object and then transmits the target address to the table unit, and the table unit is used for carrying out access processing on the target address of the target object, wherein the specific mode of the access processing is as follows:
acquiring all target addresses, optionally selecting a target address, acquiring a required object of a corresponding target object, acquiring an account name of the required object, randomly mixing the account names into the target addresses, and forming a jump link;
when the target object is required to be accessed by the subsequent corresponding demand object, the account name can be automatically acquired after the demand object logs in the account, the corresponding account name in the jump link is removed, and the jump link is automatically jumped to the target area of the storage unit after the removal, so that the corresponding target object is automatically accessed.
Further, also comprises
The drawing unit is used for rapidly drawing, and marking the obtained icon as a result object after drawing; the drawing unit is used for transmitting the result object to the processor;
the processor is also connected with a management unit in a communication way, and important objects in the result objects are marked as target objects by the management unit, and the rest are kept as result objects.
Further, the image gathering unit is further used for receiving the result object transmitted by the image gathering unit and gathering data of the result object to obtain related data of the result object, wherein the related data comprises a requirement object, a priority, a memory value and a drawing time of the result object;
the image collecting unit is used for transmitting the related data of the result objects to the analyzing unit, the analyzing unit receives the related data transmitted by the image collecting unit, carries out correlation analysis on the related data, calculates an evaluation value of each result object after quantifying the related data, and divides the result objects into target objects and result objects according to the evaluation values;
the analysis unit is used for transmitting all target objects and result objects to the processor.
Further, the requirement object is a corresponding target user needing the result object, and the requirement object is not limited to one bit only; the priority is the priority level representing symbol of the corresponding result object, the memory value is the data indicating the memory occupation size of the corresponding result object, and the drawing time is the time spent by the drawing of the result object.
Further, the specific mode of correlation analysis is as follows:
step one: acquiring relevant data of all result objects, optionally selecting a result object, acquiring a required object, a priority, a memory value and a drawing time in the relevant data, and performing data quantization processing, wherein the method specifically comprises the following steps:
the number of the required objects is obtained and marked as a required value;
then selecting a demand object, acquiring the total number of graphs in nearly three months, automatically acquiring interval values of each graph from the first graph when the total number exceeds X1, solving an average value of all the interval values, and marking the average value as a graph frequency value; x1 is a preset numerical value, and when the total number does not exceed X1, the value of the picture frequency value is automatically marked as 0;
removing the dimension from the required value and the image frequency value, and adding the obtained numerical value to obtain an object representation value;
then, the corresponding priority is obtained, and the corresponding sequence value is marked as the corresponding priority expression value according to the sequence from low priority to high priority;
removing the dimension of the memory value and the graph time;
the graph in this step refers to the corresponding result object;
step two: calculating an evaluation value of a corresponding result object by means of a formula, wherein the specific calculation formula is as follows:
evaluation value= (0.38 x object representation value+0.36 x priority expression value+0.26 plot time)/memory value;
step three: then selecting the next result object, and repeating the first to third steps to obtain the evaluation values of all the result objects; marking the mark with the evaluation value exceeding X2 as a target object, wherein X2 is a preset value;
step four: all target objects and result objects are obtained.
Further, the system also comprises a management unit which is in communication connection with the processor and is used for inputting all preset values.
Compared with the prior art, the application has the beneficial effects that:
the method comprises the steps of firstly obtaining a target object and a result object through the related attribute of the result object or through a manual setting mode, and then transmitting the target object and the result object to a processor; the storage operation of the target object and the result object is completed by combining the processor with the table unit and the storage unit, the target object and the result object are stored and operated in two different modes, and the encryption protection function is achieved while the storage space is considered; the application is simple and effective, and is easy and practical.
Drawings
Fig. 1 is a system block diagram of the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the present application provides a collaborative rapid map management system based on BIM;
as a first embodiment of the present application, the platform includes:
the system comprises a drawing unit, an image gathering unit, an analysis unit, a processor, a table unit, a storage unit and a management unit;
the quick plotting method refers to the prior art, and related methods are given by published patents, which are not specifically described herein, and the obtained plot is marked as a result object after plotting; the drawing unit is used for transmitting the result objects to the processor, and important marks in the result objects are marked as target objects by the management unit, and the rest are kept as result objects;
the analysis unit is used for transmitting all the target objects and the result objects to the processor, and the processor is used for combining the table unit and the storage unit to complete the storage operation of the target objects and the result objects, wherein the storage operation is specifically as follows:
obtaining a result object, and storing the result object in a conventional area of a storage unit, wherein the conventional area is preset by an administrator; the result object stored in the conventional area is automatically deleted after X3 time passes, and X3 is a preset value;
storing the target object in a target area, wherein the target area is preset by an administrator, automatically acquiring an address corresponding to the target object after storing, and marking the address as a target address; all contents of the target area can be skipped only through the target address and cannot be accessed directly;
the processor acquires the target address of the corresponding target object and then transmits the target address to the table unit, and the table unit is used for carrying out access processing on the target address of the target object, wherein the specific mode of the access processing is as follows:
acquiring all target addresses, optionally selecting a target address, acquiring a required object of a corresponding target object, acquiring an account name of the required object, randomly mixing the account names into the target addresses, and forming a jump link;
when the target object is required to be accessed by the subsequent corresponding demand object, the account name can be automatically acquired after the demand object logs in the account, the corresponding account name in the jump link is removed, and the jump link is automatically jumped to the target area of the storage unit after the removal, so that the corresponding target object is automatically accessed.
As a second embodiment of the present application,
the image gathering unit is used for receiving the result object transmitted by the image gathering unit and gathering data of the result object to obtain related data of the result object, wherein the related data comprises a required object, a priority, a memory value and a drawing time of the result object;
the demand object is a corresponding target user needing the result object, and the demand object is not limited to one bit only and may have multiple bits; the priority is a priority degree representation symbol corresponding to the result object, the memory value is data indicating the memory occupation size of the corresponding result object, and the drawing time is the time spent by the result object for drawing;
the image collecting unit is used for transmitting the related data of the result object to the analyzing unit, and the analyzing unit receives the related data transmitted by the image collecting unit and carries out correlation analysis on the related data, wherein the specific mode of the correlation analysis is as follows:
step one: acquiring relevant data of all result objects, optionally selecting a result object, acquiring a required object, a priority, a memory value and a drawing time in the relevant data, and performing data quantization processing, wherein the method specifically comprises the following steps:
the number of the required objects is obtained and marked as a required value;
then selecting a demand object, acquiring the total number of graphs in nearly three months, automatically acquiring interval values of each graph from the first graph when the total number exceeds X1, solving an average value of all the interval values, and marking the average value as a graph frequency value; the preset value of the X1 bit is generally 3, and when the total number does not exceed X1, the value of the picture frequency value is automatically marked as 0;
removing the dimension from the required value and the image frequency value, and adding the obtained numerical value to obtain an object representation value;
then, the corresponding priority is obtained, and the corresponding sequence value is marked as the corresponding priority expression value according to the sequence from low priority to high priority;
removing the dimension of the memory value and the graph time;
the graph in this step refers to the corresponding result object;
step two: calculating an evaluation value of a corresponding result object by means of a formula, wherein the specific calculation formula is as follows:
evaluation value= (0.38 x object representation value+0.36 x priority expression value+0.26 plot time)/memory value;
step three: then selecting the next result object, and repeating the first to third steps to obtain the evaluation values of all the result objects; marking the mark with the evaluation value exceeding X2 as a target object, wherein X2 is a preset value;
step four: obtaining all target objects and result objects;
the analysis unit is used for transmitting all the target objects and the result objects to the processor, and the processor is used for combining the table unit and the storage unit to complete the storage operation of the target objects and the result objects, wherein the storage operation is specifically as follows:
obtaining a result object, and storing the result object in a conventional area of a storage unit, wherein the conventional area is preset by an administrator; the result object stored in the conventional area is automatically deleted after X3 time passes, and X3 is a preset value;
storing the target object in a target area, wherein the target area is preset by an administrator, automatically acquiring an address corresponding to the target object after storing, and marking the address as a target address; all contents of the target area can be skipped only through the target address and cannot be accessed directly;
the processor acquires the target address of the corresponding target object and then transmits the target address to the table unit, and the table unit is used for carrying out access processing on the target address of the target object, wherein the specific mode of the access processing is as follows:
acquiring all target addresses, optionally selecting a target address, acquiring a required object of a corresponding target object, acquiring an account name of the required object, randomly mixing the account names into the target addresses, and forming a jump link;
when the target object is required to be accessed by the subsequent corresponding demand object, the account name can be automatically acquired after the demand object logs in the account, the corresponding account name in the jump link is removed, and the jump link is automatically jumped to the target area of the storage unit after the removal, so that the corresponding target object is automatically accessed.
The system also comprises a management unit which is in communication connection with the processor and is used for inputting all preset values.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (4)
1. A collaborative rapid graph management system based on BIM, comprising:
the processor is used for combining the table unit and the storage unit to complete the storage operation of the target object and the result object, and the storage operation is specifically implemented in the following way:
obtaining a result object, and storing the result object in a conventional area of a storage unit, wherein the conventional area is preset by an administrator; the result object stored in the conventional area is automatically deleted after X3 time passes, and X3 is a preset value;
storing the target object in a target area, wherein the target area is preset by an administrator, automatically acquiring an address corresponding to the target object after storing, and marking the address as a target address; all contents of the target area can be skipped only through the target address and cannot be accessed directly;
the processor acquires the target address of the corresponding target object and then transmits the target address to the table unit, and the table unit is used for carrying out access processing on the target address of the target object, wherein the specific mode of the access processing is as follows:
acquiring all target addresses, optionally selecting a target address, acquiring a required object of a corresponding target object, acquiring an account name of the required object, randomly mixing the account names into the target addresses, and forming a jump link;
when a target object is required to be accessed by a subsequent corresponding demand object, automatically acquiring an account name after the demand object logs in an account, removing the corresponding account name in the jump link, automatically jumping to a target area of a storage unit after removing, and automatically accessing the corresponding target object;
the image gathering unit is used for receiving the result object transmitted by the image gathering unit and gathering data of the result object to obtain related data of the result object, wherein the related data comprises a required object, a priority, a memory value and a drawing time of the result object;
the image collecting unit is used for transmitting the related data of the result objects to the analyzing unit, the analyzing unit receives the related data transmitted by the image collecting unit, carries out correlation analysis on the related data, calculates an evaluation value of each result object after quantifying the related data, and divides the result objects into target objects and result objects according to the evaluation values;
the analysis unit is used for transmitting all target objects and result objects to the processor;
the specific mode of correlation analysis is as follows:
step one: acquiring relevant data of all result objects, optionally selecting a result object, acquiring a required object, a priority, a memory value and a drawing time in the relevant data, and performing data quantization processing, wherein the method specifically comprises the following steps:
the number of the required objects is obtained and marked as a required value;
then selecting a demand object, acquiring the total number of graphs in nearly three months, automatically acquiring interval values of each graph from the first graph when the total number exceeds X1, solving an average value of all the interval values, and marking the average value as a graph frequency value; x1 is a preset numerical value, and when the total number does not exceed X1, the value of the picture frequency value is automatically marked as 0;
removing the dimension from the required value and the image frequency value, and adding the obtained numerical value to obtain an object representation value;
the priority of the corresponding result object is obtained, and the corresponding sequence value is marked as the corresponding priority expression value according to the priority sequence from low to high;
removing the dimension of the memory value and the graph time;
step two: calculating an evaluation value of a corresponding result object by means of a formula, wherein the specific calculation formula is as follows:
evaluation value= (0.38 x object representation value+0.36 x priority expression value+0.26 x graph time)/memory value;
step three: then selecting the next result object, and repeating the first to third steps to obtain the evaluation values of all the result objects; marking the mark with the evaluation value exceeding X2 as a target object, wherein X2 is a preset value;
step four: all target objects and result objects are obtained.
2. The collaborative rapid map management system according to claim 1, further comprising
The drawing unit is used for rapidly drawing, and marking the obtained icon as a result object after drawing; the drawing unit is used for transmitting the result object to the processor;
the processor is also in communication connection with a management unit, the important objects in the result objects are marked as target objects by the management unit, the rest are kept as result objects, and one of the two modes of marking the target objects by the management unit and obtaining the target objects by the analysis unit is selected.
3. The collaborative rapid graph management system according to claim 1, wherein the demand object is a target user corresponding to the demand result object, and the demand object is not limited to one bit; the priority is the priority level representing symbol of the corresponding result object, the memory value is the data indicating the memory occupation size of the corresponding result object, and the drawing time is the time spent by the drawing of the result object.
4. A collaborative rapid map management system according to any of claims 1-3, further comprising a management unit communicatively coupled to the processor for entering all preset values.
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| CN202310004303.XA CN115953283B (en) | 2023-01-03 | 2023-01-03 | BIM-based collaborative rapid plotting management system |
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| CN202310004303.XA CN115953283B (en) | 2023-01-03 | 2023-01-03 | BIM-based collaborative rapid plotting management system |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107609237A (en) * | 2017-08-29 | 2018-01-19 | 中国三冶集团有限公司 | The interim layout drawing in technical bid job site based on BIM quickly goes out drawing method |
| CN111538967A (en) * | 2020-05-07 | 2020-08-14 | 安徽龙讯信息科技有限公司 | Data management platform based on information resource library |
| CN114265560A (en) * | 2021-12-24 | 2022-04-01 | 金锐软件技术(杭州)有限公司 | Self-standardization storage system for hundred million-level compliance index service data |
| WO2022257099A1 (en) * | 2021-06-09 | 2022-12-15 | 青岛理工大学 | Prefabricated building intelligent drawing output method based on bim |
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- 2023-01-03 CN CN202310004303.XA patent/CN115953283B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107609237A (en) * | 2017-08-29 | 2018-01-19 | 中国三冶集团有限公司 | The interim layout drawing in technical bid job site based on BIM quickly goes out drawing method |
| CN111538967A (en) * | 2020-05-07 | 2020-08-14 | 安徽龙讯信息科技有限公司 | Data management platform based on information resource library |
| WO2022257099A1 (en) * | 2021-06-09 | 2022-12-15 | 青岛理工大学 | Prefabricated building intelligent drawing output method based on bim |
| CN114265560A (en) * | 2021-12-24 | 2022-04-01 | 金锐软件技术(杭州)有限公司 | Self-standardization storage system for hundred million-level compliance index service data |
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