An intelligent engineering cost management and control platform based on large models

Abstract

The present invention relates to the technical field of intelligent cost control, and in particular to an intelligent engineering cost control platform based on a large model, the platform comprising a drawing division module for dividing a single construction drawing into a plurality of areas based on the building type in the construction drawing; an abnormality type determination module for determining the abnormal tendency type of the single construction drawing according to the probability of occurrence of a landmark target in the area where the landmark target is located and whether there are conflicting targets in the single construction drawing; a drawing analysis module for determining an analysis method for the single construction drawing based on the abnormal tendency type of the single construction drawing, and determining whether the drawing is an uploaded drawing; a drawing transmission module for transmitting uploaded drawings and drawings to be uploaded to different databases; the present invention screens out qualified construction drawing data that can be used as cost prediction by analyzing the eligibility of construction drawings uploaded by users, thereby performing intelligent control over engineering costs.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent cost management and control, and in particular to an intelligent engineering cost management and control platform based on a large model. Background Art

[0002] In the field of engineering cost management, accurate construction drawing data is the key foundation for cost forecasting and control. Traditional engineering cost management methods rely on manual review and analysis of construction drawings, which is not only inefficient but also easily affected by human factors, resulting in errors in the review results. With the continuous expansion of the scale of construction projects and the increasing complexity, traditional methods can no longer meet the needs of fast and accurate cost control.

[0003] For example, Chinese patent application publication number: CN114819643A discloses a construction cost control system, which includes: a technical and economic review module, a settlement supervision module and a cost analysis module: the technical and economic review module is used to estimate the feasibility report and preliminary design budget of the construction cost document of the target project to obtain the estimated price and budget price of the target project; the settlement supervision module is used to perform budget management and settlement management on the construction cost document to obtain the budget price and settlement price of the target project; the cost analysis module is used to compare the estimated price, budget price and settlement price to obtain the key indicators corresponding to the construction cost document, and to review the key indicators, and to output and manage the reports generated by the cost analysis of the construction cost document. The present invention improves the review efficiency and completes the construction settlement management task with quality and quantity through the comparison mechanism of settlement price and contract price, settlement price and budget price, and using key indicator comparison warning.

[0004] However, the existing technology has the problem that the construction drawing data initially obtained during cost analysis may be inaccurate during subsequent cost analysis due to problems in uploading the drawings or users uploading incorrect drawings. Summary of the Invention

[0005] To this end, the present invention provides a method for overcoming the problem in the prior art that the construction drawing data initially obtained during cost analysis is inaccurate during subsequent cost analysis due to problems in uploading the drawings or users uploading erroneous drawings.

[0006] To achieve the above objectives, the present invention provides a large-scale model-based intelligent engineering cost management and control platform, comprising:

[0007] A drawing division module is used to obtain construction drawing data uploaded by users and divide a single construction drawing into several areas based on the building type in the construction drawing;

[0008] An abnormality type determination module, which is connected to the drawing classification module and is used to determine the abnormal tendency type of a single construction drawing based on the probability of occurrence of a landmark target in the area where the landmark target is located in the single construction drawing and whether there are conflicting targets in the single construction drawing;

[0009] A drawing analysis module, connected to the abnormality type determination module, includes:

[0010] an analysis method determination unit, configured to determine, based on the abnormal tendency type, whether to analyze a single construction drawing using a detailed analysis method or an overall analysis method;

[0011] a detail analysis unit connected to the analysis method determination unit, configured to determine whether the single construction drawing is an uploaded drawing based on an average degree of shape irregularity of a plurality of abnormal area graphics in the single construction drawing and an average position deviation of the plurality of abnormal area graphics in the single construction drawing;

[0012] an overall analysis unit connected to the analysis method determination unit, for determining whether the single construction drawing is an uploaded drawing based on whether the single construction drawing has missing content and whether the single construction drawing has blurred lines;

[0013] A drawing transmission module is connected to the drawing analysis module and includes a first drawing uploading unit for uploading the uploaded drawings to the cost forecast drawing library, and a second drawing uploading unit for determining whether to upload the drawings to be uploaded to the error drawing database or to the drawing secondary submission database based on the user's drawing uploading speed and whether the network fluctuates when the user uploads the drawings.

[0014] Furthermore, the abnormality type determination module determines the abnormal tendency type of the single construction drawing including:

[0015] If the probability of occurrence of a landmark target in the area where it is located in a single construction drawing is not within a preset probability range or there are conflicting targets in the single construction drawing, the abnormal tendency type of the single construction drawing is determined to be a strong abnormal tendency type;

[0016] Or if the probability of occurrence of a landmark target in the area where it is located in a single construction drawing is within a preset probability range and there is no corresponding conflicting target in the single construction drawing, the abnormal tendency type of the single construction drawing is determined to be a weak abnormal tendency type.

[0017] Furthermore, the preset occurrence probability range is determined based on the average probability and standard deviation of the occurrence of the same landmark target in the same area in a number of same type of building construction drawings.

[0018] Furthermore, the analysis method determination unit determines whether to analyze a single construction drawing using a detail analysis method or an overall analysis method, including:

[0019] Under the condition that the abnormal tendency type of the single construction drawing is a strong abnormal tendency type, determining to analyze the single construction drawing using a detail analysis method;

[0020] Or, under the condition that the abnormal tendency type of the single construction drawing is a weak abnormal tendency type, it is determined to analyze the single construction drawing using the overall analysis method.

[0021] Furthermore, the detail analysis unit determines whether the single construction drawing is an uploaded drawing, including:

[0022] Under the condition that the average shape irregularity of several abnormal area graphics in a single construction drawing is less than a preset average shape irregularity, and the average position deviation of several abnormal area graphics in a single construction drawing is less than a preset position deviation, the single construction drawing is determined to be an uploaded drawing.

[0023] Furthermore, the preset average shape irregularity degree is determined based on the average value of the average shape irregularity degrees of the same number of abnormal areas in several construction drawings of the same type of normal construction, and the preset position deviation is determined based on the average value of the average position deviations of the same number of abnormal areas in several construction drawings of the same type of normal construction.

[0024] Furthermore, the overall analysis unit determines whether the single construction drawing is an uploaded drawing, including:

[0025] Under the condition that there is no missing content and no blurred lines on the single construction drawing, the single construction drawing is determined to be the uploaded drawing;

[0026] Alternatively, if a single construction drawing is missing content or has blurred lines, the single construction drawing is determined to be a drawing to be uploaded.

[0027] Furthermore, the overall analysis unit determines that there is no missing content in a single construction drawing, including comparing the similarity between the drawing content and the standard architectural drawing template with a preset similarity, and the similarity is greater than the preset similarity.

[0028] Furthermore, the overall analysis unit determines that there is no line blurring phenomenon on a single construction drawing by comparing the number of edge pixels of the single construction drawing with a preset pixel number range, and the number of edge pixels is within the preset pixel number range.

[0029] Furthermore, the second drawing uploading unit determines to upload the drawing to be uploaded to the error drawing database or to the drawing secondary submission database, including:

[0030] Under the condition that the speed of uploading drawings by the user is lower than the preset speed or the network fluctuates when the user is uploading drawings, it is determined that the drawings to be uploaded will be uploaded to the wrong drawing database;

[0031] Or, under the condition that the speed at which the user uploads drawings is greater than or equal to the preset speed and the network does not fluctuate when the user uploads the drawings, it is determined that the drawings to be uploaded will be uploaded to the drawing secondary submission database.

[0032] Compared with the prior art, the beneficial effect of the present invention is that the present invention can more accurately judge the abnormal tendency type of a single construction drawing by comprehensively considering the probability of occurrence of the landmark target in its area and whether there are conflicting targets. When the probability of occurrence of the landmark target in the area in a single construction drawing is not within the preset probability range or there are conflicting targets, it is determined to be a strong abnormal tendency type, which helps to promptly discover serious problems that may exist in the construction drawings, such as layouts that do not conform to conventional designs or the existence of spatial conflicts, thereby avoiding major errors and hidden dangers during the construction process, reducing the risk of rework and increased costs, and for the case where the probability of occurrence of the landmark target in its area is within the preset probability range and there are no conflicting targets, it is determined to be a weak abnormal tendency type, avoiding unnecessary excessive review and modification. The above method can obtain qualified construction drawing data for cost analysis and thereby improve the accuracy of subsequent cost analysis.

[0033] Furthermore, the present invention adopts different analysis methods for different types of abnormal tendencies, avoiding comprehensive and detailed analysis or simple analysis of all drawings. It can allocate analysis resources more specifically, improve analysis efficiency while ensuring analysis quality. For drawings with strong abnormal tendencies, investing more resources in detailed analysis helps to accurately find the root cause of the problem; for drawings with weak abnormal tendencies, a relatively concise overall analysis is adopted, which can save analysis time and energy without missing important issues and achieve reasonable and optimal allocation of resources.

[0034] Furthermore, the present invention can more scientifically judge whether a construction drawing can be uploaded by comprehensively considering the average shape irregularity and average position deviation of several abnormal area graphics in a single construction drawing. This judgment method combines the shape characteristics and position characteristics of the graphics, evaluates the drawings from multiple dimensions, avoids the one-sidedness of single-factor judgment, improves the accuracy and reliability of the judgment, and accurately judges whether the drawings can be uploaded. It can avoid uploading drawings of unqualified quality, reduce the time and energy for subsequent processing of unqualified drawings, and improve work efficiency. Qualified construction drawing data used for cost analysis is obtained through the above method, thereby improving the accuracy of subsequent cost analysis.

[0035] Furthermore, the present invention conducts an overall assessment of the construction drawings from two key aspects, namely, content integrity and line clarity, and comprehensively determines whether the drawings can be uploaded, thereby avoiding the situation where only a single factor is focused on while ignoring other important aspects. It can more comprehensively reflect the quality status of the drawings and provide a reliable basis for subsequent work. By comparing the similarity between the drawing content and the standard architectural drawing template with a preset similarity to determine whether the content is missing, it helps to ensure that the uploaded drawings contain the necessary building information. This can avoid the problem of large cost forecast deviations due to lack of building information during cost analysis due to incomplete drawing content. The above method is used to obtain qualified construction drawing data for cost analysis, thereby improving the accuracy of subsequent cost analysis.

[0036] Furthermore, the present invention uploads the drawings to be uploaded to the error drawing database or the drawing secondary submission database according to the user's drawing upload speed and network fluctuations, thereby realizing reasonable classification management of the drawings to be uploaded. This classification method is helpful for subsequent targeted processing of drawings to be uploaded caused by different reasons, thereby improving the efficiency and accuracy of drawing management. By judging the upload speed and network fluctuations, it can be distinguished whether the uploaded drawings are unqualified due to network problems (such as slow upload speed, packet loss, etc.) or problems with the drawings themselves (after analysis, they do not meet the upload standards). For drawings to be uploaded due to network problems (upload speed is less than the preset speed or network fluctuations), they are uploaded to the drawing secondary submission database, which is convenient for subsequent troubleshooting of network failures and re-upload. For drawings to be uploaded due to problems with the drawings themselves (upload speed is normal and there is no network fluctuation), they are uploaded to the error drawing database, which is convenient for users to modify and resubmit the drawings. This distinction method improves the targeted problem handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a schematic diagram of the structure of an intelligent engineering cost management and control platform based on a large model according to an embodiment of the present invention;

[0038] Figure 2This is a structural diagram of a drawing analysis module of a large-scale model-based intelligent management and control platform for engineering cost according to an embodiment of the present invention;

[0039] Figure 3 This is a structural diagram of a drawing transmission module of a large-scale model-based intelligent management and control platform for engineering cost according to an embodiment of the present invention;

[0040] Figure 4 This is a workflow diagram of the abnormality type determination module of the engineering cost intelligent management and control platform based on a large model in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0042] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0043] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0044] See also Figures 1-4 As shown, Figure 1 This is a schematic diagram of the structure of an intelligent engineering cost management and control platform based on a large model according to an embodiment of the present invention; Figure 2 This is a structural diagram of a drawing analysis module of a large-scale model-based intelligent management and control platform for engineering cost according to an embodiment of the present invention; Figure 3 This is a structural diagram of a drawing transmission module of a large-scale model-based intelligent management and control platform for engineering cost according to an embodiment of the present invention; Figure 4 This is a workflow diagram of the abnormality type determination module of the engineering cost intelligent management and control platform based on a large model in an embodiment of the present invention.

[0045] The embodiment of the present invention provides a large-scale model-based intelligent engineering cost management and control platform, including:

[0046] A drawing division module is used to obtain construction drawing data uploaded by users and divide a single construction drawing into several areas based on the building type in the construction drawing;

[0047] An abnormality type determination module, which is connected to the drawing classification module and is used to determine the abnormal tendency type of a single construction drawing based on the probability of occurrence of a landmark target in the area where the landmark target is located in the single construction drawing and whether there are conflicting targets in the single construction drawing;

[0048] A drawing analysis module, connected to the abnormality type determination module, includes:

[0049] an analysis method determination unit, configured to determine, based on the abnormal tendency type, whether to analyze a single construction drawing using a detailed analysis method or an overall analysis method;

[0050] a detail analysis unit connected to the analysis method determination unit, configured to determine whether the single construction drawing is an uploaded drawing based on an average degree of shape irregularity of a plurality of abnormal area graphics in the single construction drawing and an average position deviation of the plurality of abnormal area graphics in the single construction drawing;

[0051] an overall analysis unit connected to the analysis method determination unit, for determining whether the single construction drawing is an uploaded drawing based on whether the single construction drawing has missing content and whether the single construction drawing has blurred lines;

[0052] A drawing transmission module is connected to the drawing analysis module and includes a first drawing uploading unit for uploading the uploaded drawings to the cost forecast drawing library, and a second drawing uploading unit for determining whether to upload the drawings to be uploaded to the error drawing database or to the drawing secondary submission database based on the user's drawing uploading speed and whether the network fluctuates when the user uploads the drawings.

[0053] In an embodiment of the present invention, dividing a single construction drawing into several areas based on the building type in the construction drawing includes but is not limited to dividing a single construction drawing into several areas based on the building use function in the construction drawing. For example, if the single construction drawing is a residential building, it can be divided into living areas (including but not limited to bedrooms, living rooms and study rooms), service areas (including but not limited to kitchens, bathrooms and balconies), and traffic areas (including but not limited to corridors, stairs and elevators) according to the building use function.

[0054] Specifically, the abnormality type determination module determines the abnormality tendency type of the single construction drawing according to the probability of occurrence of the landmark object in the area where the landmark object is located in the single construction drawing and whether there are conflicting objects in the single construction drawing, under the condition of determining the abnormality tendency type of the single construction drawing;

[0055] If the probability of occurrence of a landmark target in the area where the landmark target is located in a single construction drawing is not within a preset probability range or there are conflicting targets in the single construction drawing, the abnormality type determination module determines that the abnormality tendency type of the single construction drawing is a strong abnormality tendency type;

[0056] If the probability of occurrence of a landmark target in the area where it is located in a single construction drawing is within a preset probability range and there is no corresponding conflicting target in the single construction drawing, the abnormality type determination module determines that the abnormality tendency type of the single construction drawing is a weak abnormality tendency type.

[0057] In the embodiment of the present invention, the landmark targets in a single construction drawing can be determined by using specific legends and symbols to represent the building components in the construction drawing. For example, landmark targets such as doors, windows, columns, and stairs have corresponding legends. By identifying these legends and symbols, the location and type of the landmark targets can be determined. The conflicting targets can be checked based on the BIM model to see whether there are conflicts between the landmark targets based on the area where the landmark targets are located. For example, check whether the drainage pipes intersect with the electrical lines and whether the fire escape passages are blocked by other components.

[0058] The preset occurrence probability range in the embodiment of the present invention is determined based on the probability average and standard deviation of the same landmark target appearing in the same area in a number of the same type of building construction drawings. For example, the probability of a certain landmark target appearing in a specific functional area in the past 1000 building construction drawings of the same type is counted, and the average and standard deviation are calculated. Then, with the average as the center, the preset occurrence probability range is determined based on a certain standard deviation multiple. The standard deviation multiple can be determined by the triple standard deviation method. Assume that we have counted the probability of a certain landmark target (such as "stairs") appearing in a specific functional area in the past 1000 residential building construction drawings. The probability of the appearance of an area (such as the "traffic area"), through statistical analysis of these 1000 drawings, obtained the following results, average value (μ): the average probability of stairs appearing in the traffic area is 0.95 (that is, in 95% of the drawings, stairs appear in the traffic area), standard deviation (σ): the standard deviation is 0.05, according to the triple standard deviation method, determine the preset occurrence probability range: preset occurrence probability range = μ±3σ, the calculation result is: 0.95±3×0.05=[0.80,1.10]. Since the probability value range is [0,1], the actual preset occurrence probability range is [0.80,1.00].

[0059] The present invention can more accurately judge the abnormal tendency type of a single construction drawing by comprehensively considering the probability of occurrence of the landmark target in its area and whether there are conflicting targets. When the probability of occurrence of the landmark target in the area of ​​a single construction drawing is not within the preset probability range or there are conflicting targets, it is determined to be a strong abnormal tendency type. This helps to promptly discover serious problems that may exist in the construction drawings, such as layouts that do not conform to conventional designs or the existence of spatial conflicts, thereby avoiding major errors and hidden dangers in the construction process and reducing the risk of rework and increased costs. For the case where the probability of occurrence of the landmark target in its area is within the preset probability range and there are no conflicting targets, it is determined to be a weak abnormal tendency type, avoiding unnecessary excessive review and modification. The above method is used to obtain qualified construction drawing data for cost analysis, thereby improving the accuracy of subsequent cost analysis.

[0060] Specifically, the analysis method determination unit determines whether to analyze the single construction drawing using the detail analysis method or the overall analysis method based on the abnormal tendency type of the single construction drawing under the condition that the single construction drawing is analyzed using the detail analysis method or the overall analysis method;

[0061] If the abnormal tendency type of the single construction drawing is a strong abnormal tendency type, the analysis method determination unit determines to analyze the single construction drawing using a detail analysis method;

[0062] If the abnormal tendency type of the single construction drawing is a weak abnormal tendency type, the analysis method determination unit determines to analyze the single construction drawing using an overall analysis method.

[0063] The present invention adopts different analysis methods for different types of abnormal tendencies, avoiding comprehensive and detailed analysis or simple analysis of all drawings. It can allocate analysis resources more specifically, improve analysis efficiency while ensuring analysis quality. For drawings with strong abnormal tendencies, investing more resources in detailed analysis helps to accurately find the root cause of the problem; for drawings with weak abnormal tendencies, a relatively concise overall analysis is adopted, which can save analysis time and energy without missing important issues and achieve reasonable and optimal allocation of resources.

[0064] Specifically, the detail analysis unit determines whether the single construction drawing is an uploaded drawing based on the average shape irregularity of multiple abnormal area graphics in the single construction drawing and the average position deviation of multiple abnormal area graphics in the single construction drawing under the condition of determining whether the single construction drawing is an uploaded drawing;

[0065] If the average shape irregularity of the multiple abnormal area graphics in the single construction drawing is less than a preset average shape irregularity, and the average position deviation of the multiple abnormal area graphics in the single construction drawing is less than a preset position deviation, the detail analysis unit determines that the single construction drawing is an uploaded drawing;

[0066] If the average shape irregularity of several abnormal areas in a single construction drawing is greater than or equal to a preset average shape irregularity, or the average position deviation of several abnormal areas in a single construction drawing is greater than or equal to a preset position deviation, the detail analysis unit determines that the single construction drawing is a drawing to be uploaded.

[0067] In the embodiment of the present invention, the average shape irregularity of the several abnormal areas is the average shape factor of the graphics in the several abnormal areas, and the shape factor is the ratio of the perimeter of the graphic to the area. The average position deviation of the several abnormal area graphics can be calculated by the following method: for each abnormal area graphic, the coordinates of its geometric center are calculated, and the geometric center can be obtained by averaging the coordinates of the boundary points of the graphic. According to the design requirements or standard layout, the theoretical center coordinates of each abnormal area graphic are determined, and the Euclidean distance between the geometric center and the theoretical center, that is, the position deviation, is calculated. The position deviations of all abnormal area graphics are averaged to obtain the average position deviation. The preset average shape irregularity is the average value of the average shape irregularity of the same number of abnormal areas in several construction drawings of normal construction of the same type, and the preset position deviation is the average value of the average position deviation of the same number of abnormal areas in several construction drawings of normal construction of the same type, but the above values ​​are not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0068] The present invention can scientifically judge whether a construction drawing can be uploaded by comprehensively considering the average shape irregularity and average position deviation of several abnormal area graphics in a single construction drawing. This judgment method combines the shape characteristics and position characteristics of the graphics, evaluates the drawings from multiple dimensions, avoids the one-sidedness of single-factor judgment, improves the accuracy and reliability of the judgment, and accurately judges whether the drawings can be uploaded. It can avoid uploading drawings of unqualified quality, reduce the time and energy for subsequent processing of unqualified drawings, and improve work efficiency. Qualified construction drawing data used for cost analysis is obtained through the above method, thereby improving the accuracy of subsequent cost analysis.

[0069] Specifically, the overall analysis unit determines whether the single construction drawing is an uploaded drawing based on whether there is content missing on the single construction drawing and whether there is blurred lines on the single construction drawing.

[0070] If the single construction drawing does not have any missing content and the single construction drawing does not have any blurred lines, the overall analysis unit determines that the single construction drawing is an uploaded drawing;

[0071] If a single construction drawing has missing content or blurred lines, the overall analysis unit determines that the single construction drawing is a drawing to be uploaded.

[0072] In an embodiment of the present invention, the overall analysis unit determines that a single construction drawing does not have missing content, including comparing the similarity between the drawing content and a standard architectural drawing template with a preset similarity. If the similarity is greater than the preset similarity, a computer algorithm is used to calculate the similarity between the drawing content and the standard template. For example, cosine similarity or Euclidean distance can be used. The preset similarity is the average of the similarities between several complete construction drawings of the same type and the standard architectural drawing template. The overall analysis unit determines that a single construction drawing does not have blurred lines, including comparing the number of edge pixels of the single construction drawing with a preset pixel number range. If the number of edge pixels is within the preset pixel number range, the number of edge pixels of the single construction drawing can be determined by an edge detection algorithm. The preset pixel number range can be determined according to the following method: selecting several complete construction drawings of the same type as standard templates, applying the same edge detection algorithm to each standard template drawing, calculating the number of edge pixels thereof, calculating the average and standard deviation of the number of edge pixels of these standard drawings, and setting the preset range to a number of standard deviations above and below the average (the standard deviation number range is set to 2-4). However, the above values ​​are not limited to this, and those skilled in the art can also adjust the values ​​according to actual needs.

[0073] The present invention conducts an overall evaluation of construction drawings from two key aspects: content integrity and line clarity, and comprehensively determines whether the drawings can be uploaded, avoiding the situation of focusing on a single factor and ignoring other important aspects. It can more comprehensively reflect the quality status of the drawings and provide a reliable basis for subsequent work. By comparing the similarity between the drawing content and the standard architectural drawing template with the preset similarity to determine whether the content is missing, it helps to ensure that the uploaded drawings contain the necessary building information. This can avoid the problem of large cost prediction deviations due to lack of building information during cost analysis due to incomplete drawing content. Qualified construction drawing data used for cost analysis is obtained through the above method, thereby improving the accuracy of subsequent cost analysis.

[0074] Specifically, the second drawing uploading unit determines whether to upload the drawing to be uploaded to the error drawing database or the drawing secondary submission database based on the user's drawing uploading speed and whether the network fluctuates when the user uploads the drawing;

[0075] If the speed at which the user uploads drawings is lower than a preset speed or the network fluctuates when the user uploads drawings, the second drawing uploading unit determines to upload the drawings to be uploaded to the error drawing database;

[0076] If the speed at which the user uploads drawings is greater than or equal to a preset speed and the network does not fluctuate when the user uploads the drawings, the second drawing uploading unit determines to upload the drawings to be uploaded to the drawing secondary submission database.

[0077] In an embodiment of the present invention, the first drawing uploading unit uploads the uploaded drawings to the cost prediction drawing library for use in subsequent cost prediction. The preset speed is the average of the upload speeds of several users uploading drawings of the same type. Network fluctuations when the user uploads the drawings include packet loss when the user uploads the drawings, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0078] The present invention uploads the drawings to be uploaded to the error drawing database or the drawing secondary submission database according to the user's drawing upload speed and network fluctuation conditions, thereby realizing reasonable classification management of the drawings to be uploaded. This classification method is helpful for subsequent targeted processing of drawings to be uploaded caused by different reasons, thereby improving the efficiency and accuracy of drawing management. By judging the upload speed and network fluctuation conditions, it can be distinguished whether the uploaded drawings are unqualified due to network problems (such as slow upload speed, packet loss, etc.) or problems with the drawings themselves (which do not meet the upload standards after analysis). For drawings to be uploaded due to network problems (upload speed is less than the preset speed or network fluctuations), they are uploaded to the drawing secondary submission database, which is convenient for subsequent troubleshooting of network failures and re-upload. For drawings to be uploaded due to problems with the drawings themselves (upload speed is normal and there is no network fluctuation), they are uploaded to the error drawing database, which is convenient for users to modify and resubmit the drawings. This distinction method improves the targeted problem handling.

[0079] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. An intelligent engineering cost management and control platform based on a large model, characterized by: include: A drawing division module is used to obtain construction drawing data uploaded by users and divide a single construction drawing into several areas based on the building type in the construction drawing; An abnormality type determination module, which is connected to the drawing classification module and is used to determine the abnormal tendency type of a single construction drawing based on the probability of occurrence of a landmark target in the area where the landmark target is located in the single construction drawing and whether there are conflicting targets in the single construction drawing; A drawing analysis module, connected to the abnormality type determination module, includes: an analysis method determination unit, configured to determine, based on the abnormal tendency type, whether to analyze a single construction drawing using a detailed analysis method or an overall analysis method; a detail analysis unit connected to the analysis method determination unit, configured to determine whether the single construction drawing is an uploaded drawing based on an average degree of shape irregularity of a plurality of abnormal area graphics in the single construction drawing and an average position deviation of the plurality of abnormal area graphics in the single construction drawing; an overall analysis unit connected to the analysis method determination unit, for determining whether the single construction drawing is an uploaded drawing based on whether the single construction drawing has missing content and whether the single construction drawing has blurred lines; a drawing transmission module connected to the drawing analysis module, comprising a first drawing uploading unit for uploading the uploaded drawing to a cost forecast drawing library, and a second drawing uploading unit for determining whether to upload the to-be-uploaded drawing to an error drawing database or to a drawing secondary submission database based on a user's drawing uploading speed and whether a network fluctuation occurs when the user uploads the drawing; The abnormality type determination module determines the abnormal tendency type of the single construction drawing including: If the probability of occurrence of a landmark target in the area where it is located in a single construction drawing is not within a preset probability range or there are conflicting targets in the single construction drawing, the abnormal tendency type of the single construction drawing is determined to be a strong abnormal tendency type; Or if the probability of occurrence of a landmark target in the area where it is located in a single construction drawing is within a preset probability range and there is no corresponding conflicting target in the single construction drawing, the abnormal tendency type of the single construction drawing is determined to be a weak abnormal tendency type.

2. The intelligent control platform for engineering cost based on large model according to claim 1 is characterized in that: The preset occurrence probability range is determined based on the average probability and standard deviation of the occurrence of the same landmark target in the same area in a number of construction drawings of the same type.

3. The intelligent control platform for engineering cost based on large model according to claim 2 is characterized in that: The analysis method determination unit determines whether to analyze a single construction drawing using a detail analysis method or an overall analysis method, including: Under the condition that the abnormal tendency type of the single construction drawing is a strong abnormal tendency type, determining to analyze the single construction drawing using a detail analysis method; Or, under the condition that the abnormal tendency type of the single construction drawing is a weak abnormal tendency type, it is determined to analyze the single construction drawing using the overall analysis method.

4. The intelligent control platform for engineering cost based on large model according to claim 3 is characterized in that: The detail analysis unit determines whether the single construction drawing is an uploaded drawing, including: Under the condition that the average shape irregularity of several abnormal area graphics in a single construction drawing is less than a preset shape irregularity, and the average position deviation of several abnormal area graphics in a single construction drawing is less than a preset position deviation, the single construction drawing is determined to be an uploaded drawing.

5. The intelligent control platform for engineering cost based on large model according to claim 4 is characterized in that: The preset average shape irregularity degree is determined based on the average value of the average shape irregularity degrees of the same number of abnormal areas in several construction drawings of the same type of normal construction, and the preset position deviation is determined based on the average value of the average position deviations of the same number of abnormal areas in several construction drawings of the same type of normal construction.

6. The intelligent control platform for engineering cost based on large model according to claim 5 is characterized in that: The overall analysis unit determines whether the single construction drawing is an uploaded drawing, including: Under the condition that there is no missing content and no blurred lines on the single construction drawing, the single construction drawing is determined to be the uploaded drawing; Alternatively, if a single construction drawing is missing content or has blurred lines, the single construction drawing is determined to be a drawing to be uploaded.

7. The intelligent control platform for engineering cost based on large model according to claim 6 is characterized in that: The overall analysis unit determines that there is no missing content in a single construction drawing, including comparing the similarity between the drawing content and the standard architectural drawing template with a preset similarity, and the similarity is greater than the preset similarity.

8. The large-scale model-based intelligent engineering cost management and control platform according to claim 7 is characterized in that: The overall analysis unit determines that there is no line blur phenomenon on the single construction drawing by comparing the number of edge pixels of the single construction drawing with a preset pixel number range, and the number of edge pixels is within the preset pixel number range.

9. The large-scale model-based intelligent engineering cost management and control platform according to claim 8 is characterized in that: The second drawing uploading unit determines whether to upload the drawing to be uploaded to the error drawing database or to the drawing secondary submission database, including: Under the condition that the speed of uploading drawings by the user is lower than the preset speed or the network fluctuates when the user is uploading drawings, it is determined that the drawings to be uploaded will be uploaded to the wrong drawing database; Or, under the condition that the speed at which the user uploads drawings is greater than or equal to the preset speed and the network does not fluctuate when the user uploads the drawings, it is determined that the drawings to be uploaded will be uploaded to the drawing secondary submission database.

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