An intelligent auditing method for architectural planning drawings

Abstract

The present application relates to a kind of building planning drawing intelligent auditing processing method, it is related to drawing processing technical field, including: the planning volume rate of the building planning drawing to be carried out for auditing, planning building density and planning green rate are extracted, respectively in drawing database same drawing search is carried out, and abnormal analysis is carried out to obtain volume abnormal coefficient, density abnormal coefficient and green abnormal coefficient, the calculation adjustment of the number of adjacent drawing search of three characteristics is carried out, obtain three adjacent drawing search number, respectively adjacent drawing search and abnormal analysis are carried out, obtain volume abnormal rate, density abnormal rate and green abnormal rate;According to volume abnormal coefficient, density abnormal coefficient and green abnormal coefficient, volume abnormal rate, density abnormal rate and green abnormal rate are marked correction, mark before auditing to building planning drawing is carried out, and carries out auditing processing.The present application solves the problems, such as long auditing cycle of building planning drawing in prior art, prone to error etc.

Description

Technical Field

[0001] This invention relates to the field of drawing processing technology, and in particular to an intelligent review and processing method for architectural planning drawings. Background Technology

[0002] The current planning and construction application process requires calculations on architectural plans based on a series of standards and specifications to obtain planning indicators such as plot ratio, building density, and greening rate. These are then reviewed to determine whether the architectural plans meet the relevant requirements. The entire review process relies on manual labor, is time-consuming, and often results in errors and omissions. This leads to problems such as long review cycles and a high risk of errors. Summary of the Invention

[0003] This invention addresses the technical problems of long review cycles and error-prone nature in existing architectural planning drawings by proposing an intelligent review and processing method for architectural planning drawings.

[0004] The technical solution of the present invention to solve the above-mentioned technical problems is as follows:

[0005] In a first aspect, the present invention provides an intelligent review and processing method for architectural planning drawings, comprising: extracting the planned plot ratio, planned building density and planned greening rate of the architectural planning drawings to be reviewed, performing the same drawing search in the drawing database respectively, and performing anomaly analysis of the same drawing to obtain the plot ratio anomaly coefficient, density anomaly coefficient and greening anomaly coefficient.

[0006] Based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, the number of adjacent drawings to be retrieved for the three features is calculated and adjusted to obtain the number of adjacent drawings to be retrieved.

[0007] Based on the number of searches for the three adjacent drawings, adjacent drawings are searched separately to obtain three sets of adjacent drawings. Anomaly analysis of the adjacent drawings is then performed to obtain the volume anomaly rate, density anomaly rate, and greening anomaly rate.

[0008] Based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, the volume anomaly rate, density anomaly rate, and greening anomaly rate are marked and corrected. The architectural planning drawings are marked before review and then processed for review.

[0009] The beneficial effects of this invention are: addressing the problems of existing building planning review processes relying on manual labor, having long review cycles, and being prone to errors, it utilizes database retrieval and anomaly analysis technologies to achieve pre-analysis and annotation of building planning drawings, providing a reference for review and improving review efficiency and accuracy.

[0010] This invention specifically extracts the planned plot ratio, planned building density, and planned greening rate from architectural planning drawings, performs anomaly analysis on identical drawings, and obtains plot anomaly coefficients, density anomaly coefficients, and greening anomaly coefficients. This allows for the identification of potential anomalies based on historical review data, providing a reference for current reviews and subsequent drawing anomaly probability analysis, reducing the risk of missed detections due to human error. Furthermore, based on the plot anomaly coefficients, density anomaly coefficients, and greening anomaly coefficients, the number of adjacent drawings retrieved is adjusted, increasing the number of adjacent drawings retrieved for indicators with higher anomaly coefficients. This allows for greater attention to indicators prone to deviation during the review process, improving the relevance and comprehensiveness of review annotations. Subsequently, based on the adjusted number of adjacent drawings retrieved, adjacent drawings were retrieved and anomaly analysis was performed to obtain the abnormality rates of floor area ratio, density, and greening. Finally, this method combines the anomaly analysis results of identical drawings with those of adjacent drawings to annotate and correct the abnormality rates of floor area ratio, density, and greening. Pre-review annotations on architectural planning drawings can intuitively highlight key issues for reviewers, reduce omissions during the review process, effectively shorten the review cycle, improve the accuracy and intelligence level of architectural planning review, and promote the digital and intelligent development of architectural planning management. Attached Figure Description

[0011] Figure 1 This is a flowchart illustrating an intelligent review and processing method for architectural planning drawings provided by the present invention.

[0012] Figure 2 This is a schematic diagram illustrating the process of obtaining the number of three adjacent drawings in an intelligent review and processing method for architectural planning drawings provided by the present invention. Detailed Implementation

[0013] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0014] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0015] In the description of this invention, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed herein.

[0016] Example 1, as Figure 1 As shown in the figure, this embodiment of the invention provides an intelligent review and processing method for architectural planning drawings, which specifically includes the following steps:

[0017] S10: Extract the planned plot ratio, planned building density, and planned greening rate from the architectural planning drawings to be reviewed. Search for the same drawings in the drawing database and perform anomaly analysis on the same drawings to obtain the plot ratio anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient.

[0018] In this embodiment, the core planning indicators for the corresponding project are first extracted from the architectural planning drawings to be reviewed, including the planned plot ratio, planned building density, and planned greening rate. These three are key parameters for measuring whether the architectural plan is reasonable and compliant with regulations. The architectural planning drawings are actual drawn architectural drawings. If they are consistent with the planned plot ratio, planned building density, and planned greening rate, the review is passed; if they are inconsistent, the review is failed and errors are found.

[0019] Furthermore, based on the planned plot ratio, planned building density, and planned greening rate, the drawings of projects with the same planned plot ratio, planned building density, and planned greening rate are retrieved from the drawing database, and anomaly analysis of the same drawings is performed to identify situations where the drawings of similar projects have abnormal indicators, providing a reference for the current drawing review.

[0020] Step S10 in the method provided in this application embodiment includes:

[0021] Obtain the target project corresponding to the architectural planning drawings to be reviewed;

[0022] Obtain the planned plot ratio, planned building density, and planned greening rate corresponding to the target project;

[0023] Search the drawing database for drawings of projects with the same planned plot ratio, planned building density, or planned greening rate to obtain the same drawing set. The drawing database includes drawings that have been reviewed in the past.

[0024] In this embodiment of the application, the target project corresponding to the architectural planning drawings to be reviewed is first obtained, that is, the specific construction project to which the current review object belongs is identified. For example, the architectural planning drawings to be reviewed correspond to a residential community project.

[0025] After identifying the target project, obtain its corresponding planned plot ratio, planned building density, and planned greening rate. This refers to the plot ratio, building density, and greening rate planned during the land transfer and construction process. The plot ratio, building density, and greening rate in the submitted architectural plans must meet the requirements of the planned plot ratio, planned building density, and planned greening rate to pass the review. Specifically, the planned plot ratio is the ratio of the building area used for calculating the plot ratio to the buildable land area within the construction land, for example, not exceeding 3.5. The planned building density is the ratio of the total area occupied by the base area of ​​buildings within the construction land, for example, not exceeding 30%. The planned greening rate is the ratio of the total area of ​​various types of green space within the construction land to the total area of ​​the area, for example, not less than 35%.

[0026] Furthermore, after obtaining key planning indicators, namely the planned plot ratio, planned building density, and planned greening rate, a search is performed in the drawing database for identical drawings. This involves finding architectural plans of projects with the same planned plot ratio, planned building density, or planned greening rate (i.e., at least one of these three is the same) in historical review records, and these are considered identical drawings to obtain the same drawing set. For example, if the planned plot ratio of the current target project is 3.5, then all architectural plans of projects with a planned plot ratio of 3.5 are retrieved.

[0027] The drawing database contains all architectural planning drawings that have been reviewed throughout history. It can be constructed from the database of the drawing reviewing unit and includes all drawings that have been approved and rejected. It may also include multiple architectural planning drawings that have been revised before and after a project.

[0028] Since similar problems may arise during the design process of engineering projects with the same planning, anomaly analysis is conducted on drawings with the same planning indicators after retrieving the same drawing set to analyze the extent to which the current architectural planning drawings may have problems or anomalies.

[0029] Step S10 in the method provided in this application embodiment further includes:

[0030] The average deviation range of plot ratio, building density, or greening rate deviations of multiple drawings within the same drawing set during the review process is obtained, and the plot deviation range, density deviation range, and greening deviation range are obtained.

[0031] The volume deviation range, density deviation range, and greening deviation range are used as volume anomaly coefficients, density anomaly coefficients, and greening anomaly coefficients, respectively, wherein the volume anomaly coefficients, density anomaly coefficients, and greening anomaly coefficients are positive or negative values.

[0032] In this embodiment of the application, problem analysis is performed on drawings in the same drawing set, and deviations in planning indicators are calculated to identify possible abnormal trends in the architectural planning drawings to be reviewed.

[0033] Specifically, based on the review records of multiple drawings within the same drawing set, the average deviation range of plot ratio, building density, or greening rate discrepancies during the review process is obtained, resulting in the plot ratio deviation range, density deviation range, and greening rate deviation range. Specifically, plot ratio deviation generally occurs when the plot ratio in the drawing is greater than the planned plot ratio; building density deviation generally occurs when the building density in the drawing is greater than the planned building density; and greening rate deviation generally occurs when the greening rate in the drawing is less than the planned greening rate.

[0034] Specifically, the difference between the plot ratio and the planned plot ratio in multiple drawings within the same drawing set is calculated. Then, the ratio of this difference to the planned plot ratio is calculated to obtain the plot ratio deviation range. Finally, the average of the plot ratio deviation ranges across multiple drawings is calculated to obtain the plot ratio deviation magnitude. For example, if the plot ratio in a certain identical drawing is 4.0 and the planned plot ratio is 3.5, then the plot ratio deviation range is (4-3.5) / 3.5=14%.

[0035] Thus, based on the building density and greening rate within multiple drawings in the same drawing set, and combined with the planned building density and planned greening rate of the corresponding project, the deviation range of building density and greening rate of multiple drawings are calculated, and the average value is calculated to obtain the deviation range of volume, density, and greening.

[0036] Furthermore, the calculated deviations in floor area ratio, density, and greening are used as the floor area ratio anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, respectively. These coefficients represent the degree to which the same building planning drawings under review exhibit anomalies in floor area ratio, building density, and greening rate. Since drawings of engineering projects with the same planning indicators may have similar anomalies during the design and drawing process, the floor area ratio anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient also reflect the degree to which the current building planning drawings may have anomalies.

[0037] Among them, the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient can be positive or negative. Specifically, positive values ​​for the volume anomaly coefficient and density anomaly coefficient generally indicate a problem of excessively high volume ratio and building density, while negative values ​​for the greening anomaly coefficient generally indicate a problem of excessively low greening rate.

[0038] In summary, this application embodiment constructs a data-driven anomaly identification mechanism by statistically analyzing drawings with the same planning indicators within historical review data. This mechanism can predict the magnitude of potential problems with the three types of indicators, providing data support for subsequent pre-review annotations, improving the targeting and accuracy of subsequent reviews, and enhancing the review efficiency and compliance of architectural planning drawings.

[0039] S20: Based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, calculate and adjust the number of adjacent drawings to be retrieved for the three features, and obtain the number of adjacent drawings to be retrieved.

[0040] In this embodiment of the application, the foregoing analysis examined the potential anomalies in the plot ratio, building density, and greening rate of the currently reviewed architectural plans, specifically the plot ratio anomaly coefficient, density anomaly coefficient, and greening rate anomaly coefficient. Further analysis is needed to determine the probability that the plot ratio, building density, and greening rate of the currently reviewed architectural plans may exhibit problems.

[0041] Specifically, this application's embodiments analyze the probability of potential problems with the current building planning drawings based on the probability of similar architectural planning drawings exhibiting abnormalities. Specifically, the number of adjacent drawings (i.e., similar drawings) to be searched is configured based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, resulting in three adjacent drawing search quantities. The higher the probability of an anomaly, the greater the probability of such an anomaly, thus a larger adjacent drawing search quantity is set, improving the accuracy of the problem probability analysis.

[0042] like Figure 2 As shown, step S20 in the method provided in this application embodiment includes:

[0043] Get the preset number of adjacent drawings to search;

[0044] Based on the volume anomaly coefficient, the volume-density influence coefficient and the volume-greening influence coefficient are obtained;

[0045] Based on the density anomaly coefficient, the density-volume influence coefficient and the density-greening influence coefficient are obtained;

[0046] Based on the aforementioned greening anomaly coefficient, the greening-volume influence coefficient and the greening-density influence coefficient are obtained through processing.

[0047] Based on the volume anomaly coefficient, density-volume influence coefficient, and greening-volume influence coefficient, the total volume anomaly coefficient, total density anomaly coefficient, and total greening influence coefficient are calculated.

[0048] The total volume anomaly coefficient, total density anomaly coefficient, and total greening impact coefficient are used to calculate and adjust the preset adjacent drawing retrieval quantity to obtain three adjacent drawing retrieval quantities.

[0049] In this embodiment of the application, the preset number of adjacent drawings to be retrieved is first obtained, which is the preset number of similar drawings (adjacent drawings) to be retrieved, for example, 50. That is, 50 adjacent drawings that are most similar to the current building planning drawings are retrieved to analyze the probability of abnormal problems in the plot ratio, building density and greening rate of similar drawings, so as to know the probability of abnormal problems in the plot ratio, building density and greening rate of the current building planning drawings.

[0050] Furthermore, in the design and drawing of architectural planning drawings, the three indicators of plot ratio, building density, and greening rate are usually correlated and mutually influential. For example, excessively high values ​​often lead to increased building density, meaning more buildings are placed per unit area of ​​land. Excessive building density usually implies a decreased greening rate, as the area available for greening is reduced. Conversely, a low greening rate may indicate a larger building scale, thus affecting both plot ratio and building density. Therefore, based on the plot ratio anomaly coefficient, density anomaly coefficient, and greening rate anomaly coefficient obtained from the analysis, the impact of the anomaly magnitude of each indicator on the other two indicators is determined. Then, by combining the influence of the three, the total magnitude of the anomalies in the three indicators of the current architectural planning drawings after mutual influence is calculated.

[0051] First, based on the floor area ratio (FAR) anomaly coefficient, the FAR-density influence coefficient and the FAR-green space influence coefficient are obtained. The FAR is a positive number; assuming the same planned building height, a higher FAR indicates a higher building density and a lower green space ratio. Therefore, the FAR is directly set as the FAR-density influence coefficient, meaning that the higher the FAR, the greater the impact on building density. The negative value of the FAR is directly set as the FAR-green space influence coefficient, meaning that the higher the FAR, the less the impact on green space ratio. For example, if the FAR is 10%, then the FAR-density influence coefficient and the FAR-green space influence coefficient are 10% and -10%, respectively. The FAR-density influence coefficient and the FAR-green space influence coefficient reflect the degree of abnormality in building density and green space ratio caused by FAR anomalies.

[0052] Optionally, a search can be conducted in the drawing database to obtain the density anomaly coefficient and greening anomaly coefficient of the drawings that have been approved to have the volume anomaly coefficient, and the average value can be calculated as the volume-density influence coefficient and the volume-greening influence coefficient. For example, if the average density anomaly coefficient and the average greening anomaly coefficient of multiple drawings with a volume anomaly coefficient of 10% are 8% and -5% respectively, then the volume-density influence coefficient and the volume-greening influence coefficient are 8% and -5% respectively.

[0053] Furthermore, based on the same method, the density-volume influence coefficient and density-greening influence coefficient are obtained by processing the density anomaly coefficient, and the greening-volume influence coefficient and greening-density influence coefficient are obtained by processing the greening anomaly coefficient.

[0054] The density anomaly coefficient is a positive number; the larger the coefficient, the higher the floor area ratio and the lower the greening rate. The density anomaly coefficient is directly used as the density-floor area influence coefficient, and its negative value is used as the density-greening influence coefficient. For example, if the density anomaly coefficient is 8%, then the density-floor area influence coefficient is 8%, and the density-greening influence coefficient is -8%.

[0055] The greening anomaly coefficient is negative; the smaller the coefficient, the higher the plot ratio and building density. The negative of the greening anomaly coefficient is used as the greening-plot ratio influence coefficient and the greening-density influence coefficient. For example, if the greening anomaly coefficient is -5%, then the greening-plot ratio influence coefficient and the greening-density influence coefficient are both 5%.

[0056] Furthermore, based on the floor area ratio anomaly coefficient, density-floor area ratio impact coefficient, and green space-floor area ratio impact coefficient, the average of the absolute values ​​of these three factors is calculated to obtain the total floor area ratio anomaly coefficient. For example, if the floor area ratio anomaly coefficient, density-floor area ratio impact coefficient, and green space-floor area ratio impact coefficient are 10%, 8%, and 5%, respectively, then the total floor area ratio anomaly coefficient is 7.67%. The total floor area ratio anomaly coefficient includes the extent of floor area ratio anomalies found in identical architectural plans, as well as the extent of floor area ratio anomalies caused by building density and green space ratio, thus more accurately reflecting the potential extent of floor area ratio anomalies in the current architectural plans.

[0057] Using the same method, the average of the absolute values ​​of the density anomaly coefficient, volume-density influence coefficient, and greening-density influence coefficient is calculated to obtain the total density anomaly coefficient. Similarly, the average of the absolute values ​​of the greening anomaly coefficient, volume-greening influence coefficient, and density-greening influence coefficient is calculated to obtain the total greening influence coefficient.

[0058] Furthermore, the pre-set number of adjacent drawing searches is calculated and adjusted using the total volume anomaly coefficient, total density anomaly coefficient, and total greening impact coefficient. Specifically, the greater the potential for problems with the current building plan's volume ratio, building density, and greening rate, the higher the probability of these problems occurring, thus requiring a larger number of adjacent drawing searches for retrieval and anomaly probability analysis. Therefore, the pre-set number of adjacent drawing searches is amplified using the total volume anomaly coefficient, total density anomaly coefficient, and total greening impact coefficient.

[0059] For example, 1 is multiplied by the sum of the total volumetric anomaly coefficient, the total density anomaly coefficient, and the total greening impact coefficient, respectively, by a preset adjacent drawing retrieval number and rounded down to obtain three adjacent drawing retrieval numbers: volumetric adjacent drawing retrieval number, density adjacent drawing retrieval number, and greening adjacent drawing retrieval number. For example, if the total volumetric anomaly coefficient is 7.67%, then the adjusted volumetric adjacent drawing retrieval number is calculated as follows: .

[0060] This application embodiment analyzes the abnormal magnitude of plot ratio, building density, and greening rate of drawings with the same planning indicators, and considers the influence among the three. It adjusts the number of similar drawings that need to be referenced before review, i.e., the number of adjacent drawings retrieved, so that indicators with larger anomalies can obtain more similar drawing case analysis support, improve the accuracy of the anomaly probability analysis of the three types of indicators, thereby improving the scientificity and accuracy of the review, reducing the review time, and effectively reducing the error rate of manual review.

[0061] S30: Based on the number of searches for the three adjacent drawings, perform adjacent drawing searches respectively to obtain three adjacent drawing sets. Perform anomaly analysis on the adjacent drawings to obtain the volume anomaly rate, density anomaly rate, and greening anomaly rate.

[0062] In this embodiment, based on the calculated number of adjacent drawings to be retrieved, similar drawings (i.e., adjacent drawings) are retrieved to obtain three sets of adjacent drawings. Anomaly probability analysis of plot ratio, building density, and greening rate is then performed based on these adjacent and similar drawings to obtain the plot ratio anomaly rate, density anomaly rate, and greening rate anomaly rate. This reflects the probability that the current architectural planning drawings contain plot ratios, building densities, and greening rates that do not meet planning requirements. Consequently, suspicious issues can be marked on the architectural planning drawings, providing reviewers with efficient review references and improving review efficiency and error detection rate.

[0063] Step S30 in the method provided in this application embodiment includes:

[0064] Based on the planned floor area ratio, a similar drawing search is performed in the drawing database to obtain a set of adjacent floor area ratio drawings. In this search, the similarity between the planned floor area ratio of the corresponding project in other drawings and the planned floor area ratio is calculated.

[0065] Continue to search for similar drawings in the drawing database based on the planned building density and planned greening rate to obtain density adjacent drawing sets and greening adjacent drawing sets until the required number of three adjacent drawing sets is met.

[0066] In this embodiment, based on the number of adjacent floor area ratio (FAR) drawings retrieved, similar drawings are searched in the drawing database according to the planned FAR. Specifically, the difference between the planned FAR of the corresponding engineering projects of other drawings and the current planned FAR is calculated, and the drawing with the smallest difference is selected as the adjacent drawing, completing the retrieval of the first adjacent drawing. Then, the difference between the planned FAR of the corresponding engineering projects of the remaining drawings and the current planned FAR is calculated, and the drawing with the smallest difference is selected as the adjacent drawing, until the number of adjacent drawings retrieved is the same as the number of adjacent floor area ratio (FAR) drawings retrieved. For example, if 54 adjacent drawings are retrieved, the adjacent drawing retrieval based on the planned FAR is completed, and a set of adjacent floor area ratio (FAR) drawings is obtained.

[0067] Continuing, based on the number of density-adjacent drawings and the number of green space-adjacent drawings retrieved from the three adjacent drawing retrieval quantities, similar drawings are searched within the drawing database. The differences between the planned building density and planned green space ratio of the corresponding engineering projects in other drawings and the planned plot ratio of the current target project are calculated. The drawing with the smallest difference is selected as the adjacent drawing, and this process is repeated until the required number of density-adjacent drawings and the required number of green space-adjacent drawings are reached, resulting in a density-adjacent drawing set and a green space-adjacent drawing set. In this way, three adjacent drawing sets are obtained.

[0068] This application embodiment retrieves the drawing with the smallest difference between the planned plot ratio, planned building density, and planned greening rate of the corresponding engineering project and the planned plot ratio, planned building density, and planned greening rate of the current target project. This drawing is used as an adjacent drawing, which can effectively retrieve other historical drawings with a high degree of similarity. This data serves as the basis for analyzing the probability of problems in the current building planning drawings. Furthermore, the probability of problems is analyzed to provide visual annotation reminders before review, thereby improving the targeting and efficiency of the reviewers.

[0069] Step S30 in the method provided in this application embodiment further includes:

[0070] Within the three adjacent drawing sets, the number of drawings with abnormal floor area ratios is extracted and used as the number of abnormal floor area ratios. The ratio of this number to the sum of the number of drawings retrieved from the three adjacent drawing sets is used as the floor area ratio abnormality rate.

[0071] Continue to extract the number of drawings with abnormal building density and greening rate from the audit, and use them as the density abnormality number and greening abnormality number to calculate the density abnormality rate and greening abnormality rate.

[0072] In this embodiment of the application, before reviewing the architectural planning drawings, anomaly analysis is required based on the volume adjacent drawing set, density adjacent drawing set, and green space adjacent drawing set to comprehensively assess the compliance of the drawings to be reviewed. Specifically, it is necessary to count the number of drawings that have been reviewed and judged as abnormal in these adjacent drawing sets, and calculate the volume abnormality rate, density abnormality rate, and green space abnormality rate accordingly to provide data support for the final review judgment.

[0073] Specifically, in the sets of adjacent drawings for floor area ratio (FAR), density, and green space, the number of drawings with abnormal FAR is extracted based on the historical review records of the adjacent drawings, and this number is used as the FAR anomaly count. For example, the FAR anomaly count might be 20. The review records for the drawings can be stored in the drawing database and marked in the electronic file information of the corresponding drawings.

[0074] Furthermore, the ratio of the number of abnormal floor area ratios to the sum of the number of searches for the three adjacent drawings (i.e., the total number of all adjacent drawings) is calculated as the floor area ratio anomaly rate, which is the probability that abnormal floor area ratios will occur during the review of similar adjacent drawings. For example, if the sum of the number of searches for the three adjacent drawings is 158, then the floor area ratio anomaly rate would be, for example, 20 / 158 = 12.7%. Since the current architectural planning drawings are highly similar to the adjacent drawings, the floor area ratio anomaly rate can reflect the probability that abnormal floor area ratios will occur in the current architectural planning drawings.

[0075] Furthermore, in the volume adjacent drawing set, density adjacent drawing set, and greening adjacent drawing set, based on the review records of adjacent drawings in the historical time period, the number of drawings with abnormal building density and greening rate is further extracted as the density abnormality number and greening abnormality number. Then, the ratios of these numbers to the sum of the three adjacent drawing retrieval numbers are calculated to obtain the density abnormality rate and greening abnormality rate, respectively reflecting the probability of abnormal building density and greening rate in the current building planning drawings.

[0076] By calculating the abnormality rates of floor area ratio, density ratio, and greening ratio, the probability of problems in the architectural planning drawings to be reviewed can be quantitatively assessed in advance, providing a reference for the review process, thereby optimizing the review process, improving the efficiency of intelligent review, and reducing errors and omissions in manual review.

[0077] S40: Based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, mark and correct the volume anomaly rate, density anomaly rate, and greening anomaly rate, mark the building planning drawings before review, and then review and process them.

[0078] In this embodiment of the application, in order to further improve the visualization of possible problems in the annotation of architectural planning drawings, the annotation of the abnormality rate of floor area ratio, density and greening is corrected according to the abnormality coefficient of floor area ratio, density and greening. This makes the annotation information of drawings with a high probability of problems in floor area ratio, building density and greening rate and large abnormality range more eye-catching and visual, and provides reviewers with more accurate and visual annotation reminders before review.

[0079] Step S40 in the method provided in this application embodiment includes:

[0080] The sum of the absolute values ​​of the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient and 1 is used as the three annotation correction coefficients;

[0081] Three correction coefficients were used to calculate the corrections for the volume anomaly rate, density anomaly rate, and greening anomaly rate, respectively, to obtain the corrected volume anomaly rate, corrected density anomaly rate, and corrected greening anomaly rate.

[0082] In this embodiment, the sum of the absolute values ​​of the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient with 1 is used as three annotation correction coefficients, namely the volume annotation correction coefficient, density annotation correction coefficient, and greening annotation correction coefficient. Thus, by using these three correction coefficients to calculate the annotation correction for the volume anomaly rate, density anomaly rate, and greening anomaly rate, the indicators with larger potential anomalies correspond to larger anomaly rates, improving the visualization of the annotations. For example, the volume annotation correction coefficient, density annotation correction coefficient, and greening annotation correction coefficient are 1.1, 1.08, and 1.05, respectively.

[0083] Furthermore, three annotation correction coefficients are used respectively: volume annotation correction coefficient, density annotation correction coefficient, and greening annotation correction coefficient. The volume annotation correction coefficient, density annotation correction coefficient, and greening annotation correction coefficient are used to calculate the annotation correction of volume anomaly rate, density anomaly rate, and greening anomaly rate, respectively. The volume annotation correction coefficient, density annotation correction coefficient, and greening annotation correction coefficient are multiplied by the volume anomaly rate, density anomaly rate, and greening anomaly rate, respectively, to obtain the corrected volume anomaly rate, corrected density anomaly rate, and corrected greening anomaly rate.

[0084] For example, if the volume anomaly rate is 12.7% and the volume labeling correction factor is 1.1, then the corrected volume anomaly rate = It was 14.0%.

[0085] By annotating and correcting the abnormal rates of floor area ratio, density, and greening, and by amplifying these rates based on the magnitude of potential problems, the annotation information on drawings with a high probability of problems in floor area ratio, building density, and greening rate, and with potentially large magnitudes of problems, becomes more prominent and visual. This provides reviewers with more accurate and visual pre-review annotation reminders.

[0086] Step S40 in the method provided in this application embodiment further includes:

[0087] The corrected volume anomaly rate, corrected density anomaly rate, and corrected greening anomaly rate are used to annotate the building planning drawings, and the drawings are reviewed and processed according to the annotated information.

[0088] In this embodiment, corrected abnormal floor area ratio, corrected abnormal density ratio, and corrected abnormal greening ratio are used to annotate architectural planning drawings. Specifically, these annotations indicate the probability of issues with floor area ratio, building density, and greening ratio in the architectural planning drawings, providing a reference for reviewers. Reviewers can then conduct drawings reviews based on the annotated information. This allows reviewers to focus their efforts on drawings with a higher probability of issues with floor area ratio, building density, and greening ratio, as well as on indicators with a high probability of problems (such as floor area ratio), thereby improving review efficiency and reducing the rate of missed errors in the drawings.

[0089] Optionally, in subsequent review, ODA can be used to parse the DWG file format drawings to be reviewed. First, the DWG file is converted to DXF format to obtain elements such as drawing frame information, layer information, graphic attributes, element types, geometric information annotations, and text. Then, the different elements are stored separately. Further, deep learning algorithms can be used to identify building outlines, coordinates, and other data, as well as related textual descriptions, within the drawings for review, thereby improving review efficiency.

[0090] For example, based on historical drawing review data, elements such as drawing frame information, layer information, graphic attributes, graphic element types, geometric information annotations, and text in the drawings can be collected. Then, data such as the final recognized building outline, coordinates, and text descriptions can be collected as sample data, and deep learning can be used for recognition training to perform recognition.

[0091] After the review is completed, if there are any problems, the error points, violations and their specific locations can be listed, and modification suggestions can be provided. At the same time, the location of the error can be circled with a cloud on the drawing. If there are no errors, a qualified report will be output. The review report is presented in the form of charts and text, which makes it easy for designers to understand intuitively and make quick adjustments.

[0092] The intelligent review and processing method for architectural planning drawings provided in this invention has at least the following technical effects:

[0093] This invention extracts the planned plot ratio, planned building density, and planned greening rate from architectural planning drawings, performs identical drawing searches, and conducts anomaly analysis on identical drawings to obtain plot anomaly coefficients, density anomaly coefficients, and greening anomaly coefficients. This allows for the identification of potential anomalies based on historical review data, providing a reference for current reviews and subsequent drawing anomaly probability analysis, reducing the risk of missed detections due to human error. Furthermore, based on the plot anomaly coefficients, density anomaly coefficients, and greening anomaly coefficients, the number of adjacent drawings retrieved is adjusted, increasing the number of adjacent drawings retrieved for indicators with higher anomaly coefficients. This allows for greater attention to indicators prone to deviation during the review process, improving the relevance and comprehensiveness of review annotations. Subsequently, based on the adjusted number of adjacent drawings retrieved, adjacent drawings were retrieved and anomaly analysis was performed to obtain the abnormality rates of floor area ratio, density, and greening. Finally, this method combines the anomaly analysis results of identical drawings with those of adjacent drawings to annotate and correct the abnormality rates of floor area ratio, density, and greening. Pre-review annotations on architectural planning drawings can intuitively highlight key issues for reviewers, reduce omissions during the review process, effectively shorten the review cycle, improve the accuracy and intelligence level of architectural planning review, and promote the digital and intelligent development of architectural planning management.

[0094] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0095] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0096] This invention is described with reference to flow diagrams and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and / or block in the flow diagram and / or block diagram, and combinations of flow diagrams and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate flow diagrams and / or block diagrams for implementing flow diagrams and / or block diagrams. Figure 1 One or more traffic and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0097] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which implements the flow Figure 1 One or more traffic and / or boxes Figure 1 The function specified in one or more boxes.

[0098] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process in the flow. Figure 1 One or more traffic and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0099] Although preferred embodiments of the invention have been described, those skilled in the art, once they have learned the basic inventive concept, can make other changes and modifications to these embodiments.

[0100] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of this invention and its equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for intelligent review and processing of architectural planning drawings, characterized in that, The method includes: Extract the planned plot ratio, planned building density, and planned greening rate from the architectural planning drawings to be reviewed. Search for the same drawings in the drawing database and perform anomaly analysis on the same drawings to obtain the plot ratio anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient. Based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, the number of adjacent drawings to be retrieved for the three features is calculated and adjusted to obtain the number of adjacent drawings to be retrieved. Based on the number of searches for the three adjacent drawings, adjacent drawings are searched separately to obtain three sets of adjacent drawings. Anomaly analysis of the adjacent drawings is then performed to obtain the volume anomaly rate, density anomaly rate, and greening anomaly rate. Based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, the volume anomaly rate, density anomaly rate, and greening anomaly rate are marked and corrected, the building planning drawings are marked before review, and then reviewed and processed. Among these, anomaly analysis was performed on the same drawings to obtain the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, including: Obtain the average deviation of plot ratio, building density, or greening rate among multiple drawings within the same drawing set during the review process, and obtain the plot deviation range, density deviation range, and greening deviation range. The volume deviation range, density deviation range, and greening deviation range are used as volume anomaly coefficients, density anomaly coefficients, and greening anomaly coefficients, respectively, wherein the volume anomaly coefficients, density anomaly coefficients, and greening anomaly coefficients are positive or negative values. Specifically, the calculation and adjustment of the number of adjacent drawings to be retrieved based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient includes: Get the preset number of adjacent drawings to search; Based on the volume anomaly coefficient, the volume anomaly coefficient is directly set as the volume-density influence coefficient, and the negative number of the volume anomaly coefficient is directly set as the volume-greening influence coefficient, thus obtaining the volume-density influence coefficient and the volume-greening influence coefficient. Similarly, based on the density anomaly coefficient, the density-volume influence coefficient and the density-greening influence coefficient are obtained. Similarly, based on the aforementioned greening anomaly coefficient, the greening-volume influence coefficient and the greening-density influence coefficient are obtained; Based on the volume anomaly coefficient, density-volume influence coefficient, and greening-volume influence coefficient, the average of the absolute values ​​of the volume anomaly coefficient, density-volume influence coefficient, and greening-volume influence coefficient is calculated to obtain the total volume anomaly coefficient. Similarly, the total density anomaly coefficient and the total greening influence coefficient are calculated. The total volume anomaly coefficient, total density anomaly coefficient, and total greening impact coefficient are used to calculate and adjust the preset adjacent drawing retrieval quantity to obtain three adjacent drawing retrieval quantities.

2. The intelligent review and processing method for architectural planning drawings according to claim 1, characterized in that, Extract the planned plot ratio, planned building density, and planned greening rate from the architectural planning drawings to be reviewed, and perform a search for the same drawings in the drawing database, including: Obtain the target project corresponding to the architectural planning drawings to be reviewed; Obtain the planned plot ratio, planned building density, and planned greening rate corresponding to the target project; Search the drawing database for drawings of projects with the same planned plot ratio, planned building density, or planned greening rate to obtain the same drawing set. The drawing database includes drawings that have been reviewed in the past.

3. The intelligent review and processing method for architectural planning drawings according to claim 1, characterized in that, Based on the number of adjacent graphs retrieved, adjacent graph searches are performed separately to obtain three adjacent graph sets, including: Based on the planned floor area ratio, a similar drawing search is performed in the drawing database to obtain a set of adjacent floor area ratio drawings. In this search, the similarity between the planned floor area ratio of the corresponding project in other drawings and the planned floor area ratio is calculated. Continue to search for similar drawings in the drawing database based on the planned building density and planned greening rate to obtain density adjacent drawing sets and greening adjacent drawing sets until the required number of three adjacent drawing sets is met.

4. The intelligent review and processing method for architectural planning drawings according to claim 1, characterized in that, Perform anomaly analysis on adjacent drawings to obtain the volume anomaly rate, density anomaly rate, and greening anomaly rate, including: Within the three adjacent drawing sets, the number of drawings with abnormal floor area ratios is extracted and used as the number of abnormal floor area ratios. The ratio of this number to the sum of the number of drawings retrieved from the three adjacent drawing sets is used as the floor area ratio abnormality rate. Continue to extract the number of drawings with abnormal building density and greening rate from the audit, and use them as the density abnormality number and greening abnormality number to calculate the density abnormality rate and greening abnormality rate.

5. The intelligent review and processing method for architectural planning drawings according to claim 1, characterized in that, Based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, the volume anomaly rate, density anomaly rate, and greening anomaly rate are labeled and corrected, including: The sum of the absolute values ​​of the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient and 1 is used as the three annotation correction coefficients; Three correction coefficients were used to calculate the corrections for the volume anomaly rate, density anomaly rate, and greening anomaly rate, respectively, to obtain the corrected volume anomaly rate, corrected density anomaly rate, and corrected greening anomaly rate.

6. The intelligent review and processing method for architectural planning drawings according to claim 5, characterized in that, Before reviewing the architectural planning drawings, mark them and then review them, including: The corrected volume anomaly rate, corrected density anomaly rate, and corrected greening anomaly rate are used to annotate the building planning drawings, and the drawings are reviewed and processed according to the annotated information.

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