Engineering cost intelligent management and control platform based on large model

Abstract

The invention relates to the technical field of intelligent management and control of construction cost, in particular to an intelligent management and control platform for engineering cost based on a large model, and the platform comprises a drawing dividing module which divides a single construction drawing into a plurality of regions based on building types in the construction drawing; the exception type determination module is used for determining the exception tendency type of the single construction drawing according to the occurrence probability of a landmark target in the single construction drawing in an area where the landmark target is located and whether a conflict target exists in the single construction drawing or not; the drawing analysis module is used for determining an analysis method of the single construction drawing based on the abnormal tendency type of the single construction drawing and determining whether the drawing is an uploaded drawing or not; the drawing transmission module is used for transmitting the uploaded drawings and the drawings to be uploaded to different databases; according to the method, the qualified construction drawing data capable of being used as cost prediction is screened out by analyzing the qualification of the construction drawings uploaded by the user, so that the engineering cost is intelligently controlled.

Description

Technical Field

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

[0002] In the field of engineering cost management, accurate construction drawing data is the key basis for cost prediction and control. The traditional engineering cost management method relies 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 and increasing complexity of construction projects, the traditional method has been difficult to meet the requirements of rapid and accurate cost control. For example, Chinese Patent Application Publication No.: CN114819643A discloses an engineering 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 perform feasibility study report estimation and preliminary design budgetary estimate on the engineering cost document of the target project to obtain the estimated price and budgetary estimate price of the target project. The settlement supervision module is used to perform budget management and settlement management on the engineering 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, budgetary estimate price, and settlement price to obtain the key indicators corresponding to the engineering cost document, review the key indicators, and output and manage the reports generated by the cost analysis of the engineering cost document. The present invention improves the review efficiency and completes the engineering settlement management task with high quality through the comparison mechanism of the settlement price with the contract price and the settlement price with the budgetary estimate price, and uses key indicator comparison and early warning.

[0003] However, the existing technology has the problem that the initial construction drawing data obtained during cost analysis is inaccurate during subsequent cost analysis due to problems with drawing upload or incorrect drawings uploaded by users. Summary of the Invention

[0004] Therefore, the present invention provides a solution to overcome the problem that the initial construction drawing data obtained during cost analysis is inaccurate during subsequent cost analysis due to problems with drawing upload or incorrect drawings uploaded by users in the prior art.

[0005] To achieve the above object, the present invention provides an intelligent cost control platform for engineering cost based on a large model, including: A drawing division module, which is used to obtain the construction drawing data uploaded by the user and divide a single construction drawing into several regions based on the building type in the construction drawing; Anomaly type determination module, which is connected to the drawing division module, and is used to determine the anomaly tendency type of the single construction drawing according to the appearance probability of the landmark target in its area in the single construction drawing and whether there are conflicting targets in the single construction drawing; Drawing analysis module, which is connected to the anomaly type determination module, includes: Analysis method determination unit, which is used to determine whether to analyze the single construction drawing by detailed analysis method or overall analysis method based on the anomaly tendency type; Detailed analysis unit, which is connected to the analysis method determination unit, and is used to determine whether the single construction drawing is an uploaded drawing based on the average shape irregularity degree of several abnormal area graphics in the single construction drawing and the average position deviation of several abnormal area graphics in the single construction drawing; Overall analysis unit, which is connected to the analysis method determination unit, and is used to determine whether the single construction drawing is an uploaded drawing based on whether there is content missing in the single construction drawing and whether there is a phenomenon of blurred lines in the single construction drawing; Drawing transmission module, which is connected to the drawing analysis module, includes a first drawing upload unit for uploading the uploaded drawing to the cost prediction drawing library, and a second drawing upload unit for determining 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 upload speed and whether the network fluctuates when the user uploads the drawing.

[0006] Further, the anomaly tendency type of the single construction drawing determined by the anomaly type determination module includes: If the appearance probability of the landmark target in its area in the single construction drawing is not within the preset appearance probability range or there are conflicting targets in the single construction drawing, it is determined that the anomaly tendency type of the single construction drawing is a strong anomaly tendency type; Or if the appearance probability of the landmark target in its area in the single construction drawing is within the preset appearance probability range and there are no corresponding conflicting targets in the single construction drawing, it is determined that the anomaly tendency type of the single construction drawing is a weak anomaly tendency type.

[0007] Further, the preset appearance probability range is determined according to the average value and standard deviation of the appearance probabilities of the same landmark targets in the same areas in several construction drawings of the same type.

[0008] Further, the analysis method determination unit determines whether to analyze the single construction drawing by detailed analysis method or overall analysis method includes: Under the condition that the anomaly tendency type of the single construction drawing is a strong anomaly tendency type, it is determined to analyze the single construction drawing by detailed 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 by the overall analysis method.

[0009] Furthermore, the detailed analysis unit determines whether the single construction drawing is an uploaded drawing, including: Under the condition that the average shape irregularity degree of several abnormal area graphics in the single construction drawing is less than the preset average shape irregularity degree, and the average position deviation of several abnormal area graphics in the single construction drawing is less than the preset position deviation, it is determined that the single construction drawing is an uploaded drawing.

[0010] Furthermore, the preset average shape irregularity degree is determined according to the average value of the average shape irregularity degrees of the same number of abnormal areas in several construction drawings of the same type under normal construction, and the preset position deviation is determined according to the average value of the average position deviations of the same number of abnormal areas in several construction drawings of the same type under normal construction.

[0011] Furthermore, the overall analysis unit determines whether the single construction drawing is an uploaded drawing, including: Under the condition that the single construction drawing has no content missing and no line blurring phenomenon, it is determined that the single construction drawing is an uploaded drawing; Or, under the condition that the single construction drawing has content missing or has a line blurring phenomenon, it is determined that the single construction drawing is a drawing to be uploaded.

[0012] Furthermore, the overall analysis unit determines that the single construction drawing has no content missing by comparing the similarity between the drawing content and the standard building drawing template with the preset similarity, and the similarity is greater than the preset similarity.

[0013] Furthermore, the overall analysis unit determines that the single construction drawing has no line blurring phenomenon by comparing the number of edge pixels of the single construction drawing with the preset pixel number range, and the number of edge pixels is within the preset pixel number range.

[0014] Furthermore, the second drawing uploading unit determines to upload the drawing to be uploaded to the wrong drawing database or to the drawing secondary submission database, including: Under the condition that the user's drawing uploading speed is less than the preset speed or the network fluctuates when the user uploads the drawing, it is determined to upload the drawing to be uploaded to the wrong drawing database; Or, under the condition that the user's drawing uploading speed is greater than or equal to the preset speed and the network does not fluctuate when the user uploads the drawing, it is determined to upload the drawing to be uploaded to the drawing secondary submission database.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows. By comprehensively considering the appearance probability of the landmark target in its area and the existence of conflicting targets, the present invention can relatively accurately judge the abnormal tendency type of a single construction drawing. When the appearance probability of the landmark target in its area in a single construction drawing is not within the preset appearance probability range or there are conflicting targets, it is determined as a strong abnormal tendency type, which helps to timely discover serious problems that may exist in the construction drawing, such as layouts that do not conform to conventional designs or situations with spatial conflicts, thereby avoiding major errors and potential hazards during the construction process, reducing the risk of rework and cost increase. For the situation where the appearance probability of the landmark target in its area is within the preset appearance probability range and there are no conflicting targets, it is determined as a weak abnormal tendency type, avoiding unnecessary over - review and modification. Through the above - mentioned method, qualified construction drawing data for cost analysis is obtained, thereby improving the accuracy of subsequent cost analysis.

[0016] Furthermore, the present invention adopts different analysis methods for different abnormal tendency types, avoiding comprehensive and detailed analysis or general and simplistic analysis of all drawings, and being able to more targeted allocate analysis resources, improving the analysis efficiency on the premise of ensuring the analysis quality. For drawings with a strong abnormal tendency, more resources are invested in detailed analysis, which helps to accurately find the root cause of the problem; for drawings with a weak abnormal tendency, a relatively simple overall analysis is adopted, which can save analysis time and effort without missing important problems, realizing the reasonable and optimized allocation of resources.

[0017] Furthermore, the present invention can relatively scientifically judge whether a construction drawing can be uploaded by comprehensively considering the average shape irregularity degree and the 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 drawing from multiple dimensions, avoids the one - sidedness of single - factor judgment, improves the accuracy and reliability of the judgment. Accurately judging whether the drawing can be uploaded can avoid uploading unqualified drawings, reduce the time and effort for subsequent processing of unqualified drawings, improve work efficiency, and through the above - mentioned method, qualified construction drawing data for cost analysis is obtained, thereby improving the accuracy of subsequent cost analysis.

[0018] Furthermore, the present invention comprehensively evaluates construction drawings from two key aspects: content integrity and line clarity, and comprehensively determines whether the drawings can be uploaded, avoiding the situation of only focusing on a single factor and ignoring other important aspects. It can more comprehensively reflect the quality status of the drawings, providing a reliable basis for subsequent work. By comparing the similarity between the drawing content and the standard building drawing template with a preset similarity, it helps to ensure that the uploaded drawings contain necessary building information, which can avoid large deviations in cost prediction due to lack of building information during cost analysis caused by incomplete drawing content. Through the above method, qualified construction drawing data used for cost analysis is obtained, thereby improving the accuracy of subsequent cost analysis.

[0019] Furthermore, according to the user's drawing upload speed and network fluctuation conditions, the drawings to be uploaded are respectively uploaded to the error drawing database or the drawing secondary submission database, realizing reasonable classification management of the drawings to be uploaded. This classification method helps to subsequently process the drawings to be uploaded caused by different reasons in a targeted manner, improving the efficiency and accuracy of drawing management. By judging the upload speed and network fluctuation conditions, it can be distinguished whether the unqualified uploaded drawings are caused by network problems (such as slow upload speed, packet loss, etc.) or problems with the drawings themselves (analyzed as not meeting the upload standard). For the drawings to be uploaded caused by network problems (upload speed less than the preset speed or network fluctuation), they are uploaded to the drawing secondary submission database, facilitating subsequent troubleshooting of network failures and re-uploading. For the drawings to be uploaded with problems with the drawings themselves (normal upload speed and no network fluctuation), they are uploaded to the error drawing database, facilitating users to modify and resubmit the drawings. This differentiation method improves the pertinence of problem handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic structural diagram of the intelligent project cost control platform based on a large model according to an embodiment of the present invention; Figure 2 It is a schematic structural diagram of the drawing analysis module of the intelligent project cost control platform based on a large model according to an embodiment of the present invention; Figure 3 It is a schematic structural diagram of the drawing transmission module of the intelligent project cost control platform based on a large model according to an embodiment of the present invention; Figure 4 It is a working flowchart of the abnormal type determination module of the intelligent project cost control platform based on a large model according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] In order to make the purpose and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0023] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0024] Please refer to Figures 1-4 as shown Figure 1 which is a schematic structural diagram of the intelligent project cost control platform based on a large model according to an embodiment of the present invention; Figure 2 which is a schematic structural diagram of the drawing analysis module of the intelligent project cost control platform based on a large model according to an embodiment of the present invention; Figure 3 which is a schematic structural diagram of the drawing transmission module of the intelligent project cost control platform based on a large model according to an embodiment of the present invention; Figure 4 which is a working flowchart of the abnormal type determination module of the intelligent project cost control platform based on a large model according to an embodiment of the present invention.

[0025] The intelligent project cost control platform based on a large model according to an embodiment of the present invention includes: a drawing division module, which is used to obtain the construction drawing data uploaded by the user and divide a single construction drawing into several regions based on the building type in the construction drawing; an abnormal type determination module, which is connected to the drawing division module and is used to determine the abnormal tendency type of the single construction drawing according to the appearance probability of the landmark target in its area in the single construction drawing and whether there are conflicting targets in the single construction drawing; a drawing analysis module, which is connected to the abnormal type determination module and includes: an analysis method determination unit, which is used to determine whether to analyze the single construction drawing by a detailed analysis method or an overall analysis method based on the abnormal tendency type; a detailed analysis unit, which is connected to the analysis method determination unit and is used to determine whether the single construction drawing is the uploaded drawing based on the average shape irregularity degree of several abnormal region graphics in the single construction drawing and the average position deviation of several abnormal region graphics in the single construction drawing; An overall analysis unit, which is connected to the analysis method determination unit, and is used to determine whether the single construction drawing is an uploaded drawing based on whether there is content missing in the single construction drawing and whether there is a line blur phenomenon in the single construction drawing; 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.

[0026] 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.

[0027] Specifically, the abnormal type determination module determines the abnormal tendency type of the single construction drawing according to the probability of occurrence of the 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, under the condition of determining the abnormal tendency type of the single construction drawing; If the probability of occurrence of a landmark target in a single construction drawing in the area where it is located 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 abnormal tendency type of the single construction drawing is a strong abnormal tendency type; If the probability of occurrence of a landmark target in a single construction drawing in its area is within a preset probability range and there is no corresponding conflicting target in the single construction drawing, the abnormal type determination module determines that the abnormal tendency type of the single construction drawing is a weak abnormal tendency type.

[0028] The landmark targets in a single construction drawing described in the embodiment of the present invention can be determined by the building components represented by specific legends and symbols in the construction drawings. 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 through the BIM model based on the areas where the landmark targets are located to see whether there are conflicts between the landmark targets, for example, to check whether the drainage pipes intersect with the electrical lines and whether the fire escape passages are blocked by other components.

[0029] In the embodiments of the present invention, the preset occurrence probability range is determined according to the average value and standard deviation of the occurrence probabilities of the same landmark targets in the same regions of several construction drawings of the same type. For example, the occurrence probability of a certain landmark target in a specific functional area is statistically analyzed in 1,000 construction drawings of the same type in the past, and its average value and standard deviation are calculated. Then, with the average value as the center, the preset occurrence probability range is determined according to a certain multiple of the standard deviation. The multiple of the standard deviation can be determined by the three - standard - deviation method. Suppose we have statistically analyzed the occurrence probability of a certain landmark target (such as "staircase") in a specific functional area (such as "traffic area") in 1,000 residential construction drawings in the past. Through the statistical analysis of these 1,000 drawings, the following results are obtained: average value (μ): the average occurrence probability of the staircase in the traffic area is 0.95 (that is, in 95% of the drawings, the staircase appears in the traffic area), standard deviation (σ): the standard deviation is 0.05. According to the three - standard - deviation method, the preset occurrence probability range is determined as follows: preset occurrence probability range = μ ± 3σ. The calculation result is: 0.95 ± 3×0.05 = [0.80, 1.10]. Since the value range of probability is [0, 1], the actual preset occurrence probability range is [0.80, 1.00].

[0030] By comprehensively considering the occurrence probability of the landmark target in its area and the existence of conflicting targets, the present invention can more accurately judge the abnormal tendency type of a single construction drawing. When the occurrence probability of the landmark target in its area in a single construction drawing is not within the preset occurrence probability range or there are conflicting targets, it is determined as a strong abnormal tendency type. This helps to timely discover serious problems that may exist in the construction drawing, such as layouts that do not conform to conventional designs or spatial conflicts, thus avoiding major errors and potential hazards during the construction process, reducing the risk of rework and cost increase. For the situation where the occurrence probability of the landmark target in its area in a single construction drawing is within the preset occurrence probability range and there are no conflicting targets, it is determined as a weak abnormal tendency type, avoiding unnecessary over - review and modification. Through the above - mentioned method, qualified construction drawing data for cost analysis is obtained, thereby improving the accuracy of subsequent cost analysis.

[0031] Specifically, under the condition that the analysis method determination unit determines to analyze a single construction drawing by the detailed analysis method or the overall analysis method, it determines to analyze a single construction drawing by the detailed analysis method or the overall analysis method according to the abnormal tendency type of the single construction drawing; 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 by the detailed analysis method; 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 by the overall analysis method.

[0032] The present invention adopts different analysis methods for different abnormal tendency types, avoiding comprehensive and detailed analysis or general simple analysis of all drawings, being able to allocate analysis resources more pertinently, improving the analysis efficiency on the premise of ensuring the analysis quality. For drawings with strong abnormal tendency, investing more resources in detailed analysis helps to accurately find out the root cause of the problem; for drawings with weak abnormal tendency, adopting relatively simple overall analysis can save analysis time and effort without missing important problems, realizing the reasonable and optimal allocation of resources.

[0033] Specifically, under the condition of determining whether the single construction drawing is an uploaded drawing, the detailed analysis unit determines whether the single construction drawing is an uploaded drawing according to the average shape irregularity degree of several abnormal area graphics in the single construction drawing and the average position deviation of several abnormal area graphics in the single construction drawing; If the average shape irregularity degree of several abnormal area graphics in the single construction drawing is less than the preset average shape irregularity degree, and the average position deviation of several abnormal area graphics in the single construction drawing is less than the preset position deviation, the detailed analysis unit determines that the single construction drawing is an uploaded drawing; If the average shape irregularity degree of several abnormal areas in the single construction drawing is greater than or equal to the preset average shape irregularity degree, or the average position deviation of several abnormal areas in the single construction drawing is greater than or equal to the preset position deviation, the detailed analysis unit determines that the single construction drawing is a drawing to be uploaded.

[0034] In the embodiments of the present invention, the average shape irregularity degree of the several abnormal regions is the average shape factor of the figures within the several abnormal regions. The shape factor is the ratio of the perimeter to the area of the figure. The average position deviation of the figures of the several abnormal regions can be calculated by the following method. For each figure of the abnormal region, calculate the coordinates of its geometric center, which can be obtained by averaging the coordinates of the boundary points of the figure. According to the design requirements or the standard layout, determine the theoretical center coordinates of each figure of the abnormal region, and calculate the Euclidean distance between the geometric center and the theoretical center, that is, the position deviation. The average value of the position deviations of all figures of the abnormal regions is the average position deviation. The preset average shape irregularity degree is the average value of the average shape irregularity degrees of the same number of abnormal regions in several construction drawings of the same type under normal construction. The preset position deviation is the average value of the average position deviations of the same number of abnormal regions in several construction drawings of the same type under normal construction. However, the above values are not limited to this, and those skilled in the art can also adjust the values according to actual needs.

[0035] By comprehensively considering the average shape irregularity degree and the average position deviation of the figures of several abnormal regions in a single construction drawing, the present invention can scientifically determine whether the construction drawing can be uploaded. This judgment method combines the shape characteristics and position characteristics of the figure, evaluates the drawing from multiple dimensions, avoids the one-sidedness of single-factor judgment, improves the accuracy and reliability of the judgment, accurately determines whether the drawing can be uploaded, can avoid uploading construction drawings with unqualified quality, reduce the time and energy for subsequent processing of unqualified drawings, improve work efficiency, and obtain qualified construction drawing data for cost analysis through the above method, thereby improving the accuracy of subsequent cost analysis.

[0036] Specifically, under the condition that the overall analysis unit determines whether the single construction drawing is a drawing to be uploaded, it determines whether the single construction drawing is a drawing to be uploaded according to whether there is content missing in the single construction drawing and whether there is a phenomenon of blurred lines in the single construction drawing; If there is no content missing in the single construction drawing and there is no phenomenon of blurred lines in the single construction drawing, the overall analysis unit determines that the single construction drawing is a drawing to be uploaded; If there is content missing in the single construction drawing or there is a phenomenon of blurred lines in the single construction drawing, the overall analysis unit determines that the single construction drawing is a drawing to be uploaded.

[0037] In the embodiment of the present invention, the overall analysis unit determines that there is no content missing in a single construction drawing, including comparing the similarity between the drawing content and the standard building 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 value of the similarities between several complete construction drawings of the same type and the standard building drawing template. The overall analysis unit determines that there is no line blurring phenomenon in a single construction drawing, 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 by the following method: select several complete construction drawings of the same type as the standard template, use the same edge detection algorithm for each standard template drawing, calculate the number of its edge pixels, calculate the average value and standard deviation of the edge pixel numbers of these standard drawings, and set the preset range as several standard deviations above and below the average value (the number of standard deviations ranges from 2 to 4), but the above values are not limited to this, and those skilled in the art can also adjust the values according to actual needs.

[0038] The present invention conducts an overall evaluation of construction drawings from two key aspects: content integrity and line clarity, comprehensively judges whether the drawings can be uploaded, avoids the situation of only focusing on a single factor and ignoring other important aspects, can more comprehensively reflect the quality status of the drawings, provides a reliable basis for subsequent work, determines whether there is content missing by comparing the similarity between the drawing content and the standard building drawing template with the preset similarity, helps to ensure that the uploaded drawings contain necessary building information, and can avoid large deviations in cost prediction caused by missing building information due to incomplete drawing content during cost analysis. By using the above method to obtain qualified construction drawing data for cost analysis, the accuracy of subsequent cost analysis is improved.

[0039] Specifically, under the condition that the second drawing upload unit determines to upload the drawing to be uploaded to the wrong drawing database or the drawing secondary submission database, it determines to upload the drawing to be uploaded to the wrong drawing database or the drawing secondary submission database according to the user's drawing upload speed and whether the network fluctuates when the user uploads the drawing; If the user's drawing upload speed is less than the preset speed or the network fluctuates when the user uploads the drawing, the second drawing upload unit determines to upload the drawing to be uploaded to the wrong drawing database; If the user's drawing upload speed is greater than or equal to the preset speed and the network does not fluctuate when the user uploads the drawing, the second drawing upload unit determines to upload the drawing to be uploaded to the drawing secondary submission database.

[0040] In the embodiment of the present invention, the first drawing uploading unit uploads the uploaded drawing to the cost prediction drawing library for subsequent cost prediction use. The preset speed is the average value of the uploading speeds of the same type of drawings uploaded by the user for several times. When the user uploads the drawing, the network fluctuation includes the packet loss phenomenon when the user uploads the drawing. However, the above values are not limited to this, and those skilled in the art can also adjust the values according to actual needs.

[0041] According to the user's drawing uploading speed and network fluctuation situation, the present invention uploads the drawing to be uploaded to the error drawing database or the drawing secondary submission database respectively, realizing the reasonable classification management of the drawing to be uploaded. This classification method helps to subsequently process the drawing to be uploaded caused by different reasons in a targeted manner, improving the efficiency and accuracy of drawing management. By judging the uploading speed and network fluctuation situation, it can be distinguished whether the unqualified uploaded drawing is caused by network problems (such as slow uploading speed, packet loss, etc.) or problems with the drawing itself (analyzed not meeting the upload standard). For the drawing to be uploaded caused by network problems (uploading speed less than the preset speed or network fluctuation), it is uploaded to the drawing secondary submission database, which is convenient for subsequent troubleshooting of network failures and re-uploading. For the drawing to be uploaded with problems with the drawing itself (normal uploading speed and no network fluctuation), it is uploaded to the error drawing database, which is convenient for the user to modify and resubmit the drawing. This differentiation method improves the pertinence of problem handling.

[0042] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or replacements to the relevant technical features, and the technical solutions after these changes or replacements will fall within the protection scope of the present invention.

Claims

1. An intelligent engineering cost management and control platform based on a large model, characterized in that: include: A drawing division module, which is used to obtain the construction drawing data uploaded by the user and divide a single construction drawing into several areas based on the building type in the construction drawing; An abnormal type determination module, which is connected to the drawing classification module, is used to determine the abnormal tendency type of the single construction drawing according to the probability of occurrence of the 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, which is connected to the abnormality type determination module, includes: An analysis method determination unit, which is used to determine whether to analyze a single construction drawing using a detailed analysis method or an overall analysis method based on the abnormal tendency type; a detail analysis unit connected to the analysis method determination unit, for determining whether the single construction drawing is an uploaded drawing based on an average shape irregularity degree of a plurality of abnormal area graphics in the single construction drawing and an average position deviation of a plurality of abnormal area graphics in the single construction drawing; An overall analysis unit, which is connected to the analysis method determination unit, and is used to determine whether the single construction drawing is an uploaded drawing based on whether there is content missing in the single construction drawing and whether there is a line blur phenomenon in the single construction drawing; 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.

2. The intelligent control platform for engineering cost based on large model according to claim 1 is characterized in that: The abnormal 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 occurrence probability of a landmark target in the area where it is located in a single construction drawing is within a preset occurrence 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.

3. The intelligent control platform for engineering cost based on large model according to claim 2 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.

4. The intelligent control platform for engineering cost based on large model according to claim 3 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 an overall analysis method.

5. The intelligent control platform for engineering cost based on large model according to claim 4 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 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.

6. The intelligent control platform for engineering cost based on large model according to claim 5 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.

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 whether the single construction drawing is an uploaded drawing, including: Under the condition that there is no missing content in the single construction drawing and no blurred lines in the single construction drawing, the single construction drawing is determined to be the uploaded drawing; Or, under the condition that there is missing content in a single construction drawing or there are blurred lines in a single construction drawing, the single construction drawing is determined to be the drawing to be uploaded.

8. The intelligent control platform for engineering cost based on large model according to claim 7 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 building drawing template with a preset similarity, and the similarity is greater than the preset similarity.

9. The intelligent control platform for engineering cost based on large model according to claim 7 is characterized in that: The overall analysis unit determines that there is no line blur phenomenon in 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.

10. The intelligent control platform for engineering cost based on large model according to claim 9 is characterized in that: 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: 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 are uploaded to the wrong drawing database; Or, under the condition that the speed of uploading drawings by the user 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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