Building planning drawing intelligent auditing processing method

Abstract

The invention relates to a building planning drawing intelligent auditing processing method, and relates to the technical field of drawing processing, and the method comprises the steps: extracting the planning plot ratio, planning building density and planning greening rate of a building planning drawing to be audited, and carrying out the same drawing retrieval in a drawing database, the method comprises the following steps: acquiring a volume abnormal coefficient, a density abnormal coefficient and a greening abnormal coefficient, calculating and adjusting the retrieval quantity of the adjacency drawings of three features to obtain the retrieval quantity of the three adjacency drawings, and respectively performing adjacency drawing retrieval and abnormal analysis to obtain a volume abnormal rate, a density abnormal rate and a greening abnormal rate; and according to the volume anomaly coefficient, the density anomaly coefficient and the greening anomaly coefficient, carrying out labeling correction on the volume anomaly rate, the density anomaly rate and the greening anomaly rate, carrying out pre-auditing labeling on the building planning drawing, and carrying out auditing processing. The problems that in the prior art, the auditing period of the building planning drawing is long, and errors are prone to occurring are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of drawing processing, and in particular to an intelligent review and processing method for architectural planning drawings. Background Art

[0002] In the current planning and construction application process, it is necessary to calculate and process the building planning drawings according to a series of standards and specifications, obtain planning indicators such as floor area ratio, building density and greening rate, and then conduct an audit to determine whether the building planning drawings meet the relevant requirements. The entire audit process relies on manual labor, which is time-consuming and often results in errors and omissions. There are problems such as long audit cycles and easy errors. Summary of the Invention

[0003] The present invention aims to solve the technical problems in the prior art such as long review cycle and easy errors in building planning drawings, and proposes an intelligent review and processing method for building planning drawings.

[0004] The technical solution of the present invention to solve the above technical problems is as follows: In a first aspect, the present invention provides a method for intelligent review and processing of architectural planning drawings, comprising: extracting the planned volume ratio, planned building density, and planned greening rate of the architectural planning drawings to be reviewed, searching for identical drawings in a drawing database, and performing an anomaly analysis on the identical drawings to obtain a volume anomaly coefficient, a density anomaly coefficient, and a greening anomaly coefficient; According to the volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient, the adjacent drawing retrieval quantities of the three features are calculated and adjusted to obtain three adjacent drawing retrieval quantities; According to the number of adjacent drawings retrieved, the adjacent drawings are retrieved respectively to obtain three adjacent drawing sets, and the abnormal analysis of the adjacent drawings is performed to obtain the volume abnormality rate, density abnormality rate and greening abnormality rate; According to the volume abnormality coefficient, density abnormality coefficient and greening abnormality coefficient, the volume abnormality rate, density abnormality rate and greening abnormality rate are marked and corrected, the building planning drawings are marked before review, and review processing is performed.

[0005] The beneficial effects of the present invention are: in order to address the problems that the existing building planning review process relies on manual labor, has a long review cycle and is prone to errors, the present invention uses database retrieval and exception analysis technology to achieve pre-analysis and annotation of building planning drawings, provide a reference for the review, and improve the review efficiency and accuracy.

[0006] The present invention specifically extracts the planned volume ratio, planned building density, and planned greening rate of architectural planning drawings, searches for the same drawings, and performs anomaly analysis on the same drawings to obtain the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient. This method can identify potential anomalies based on historical audit data, provide a reference for current audits and subsequent analysis of drawing anomaly probabilities, and reduce the risk of missed audits due to human negligence. Furthermore, based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, the number of adjacent drawings retrieved is adjusted, so that the number of adjacent drawings retrieved corresponding to indicators with higher anomaly coefficients is increased, thereby paying more attention to indicators prone to deviations during the audit process and improving the pertinence and comprehensiveness of audit annotations. Subsequently, according to the adjusted number of adjacent drawing retrievals, the adjacent drawings are retrieved and anomaly analysis is performed on them to obtain the volume anomaly rate, density anomaly rate and greening anomaly rate. Finally, this method combines the anomaly analysis of the same drawing with the anomaly analysis results of the adjacent drawings to mark and correct the volume anomaly rate, density anomaly rate and greening anomaly rate, and marks the building planning drawings before review. This can intuitively prompt the reviewers to focus on the key issues in the drawings, reduce omissions in the review process, effectively shorten the review cycle, improve the accuracy and intelligence level of building planning review, and promote the digital and intelligent development of building planning management. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Figure 1 The present invention provides a flow chart of an intelligent review and processing method for architectural planning drawings.

[0008] Figure 2 A schematic diagram of a flow chart for obtaining the retrieval quantity of three adjacent drawings in an intelligent review and processing method for architectural planning drawings provided by the present invention. DETAILED DESCRIPTION

[0009] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0010] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the specified features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0011] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or illustration". Any embodiment of the present invention described as "for example" is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any person skilled in the art to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes are not elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed herein.

[0012] Example 1, as Figure 1 As shown, an embodiment of the present invention provides a method for intelligent review and processing of architectural planning drawings, which specifically includes the following steps: S10: extracting the planned volume ratio, planned building density and planned greening rate of the building planning drawings to be reviewed, searching for the same drawings in the drawing database, and performing an anomaly analysis on the same drawings to obtain the volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient.

[0013] In the present embodiment, the core planning indicators for the project are first extracted from the architectural planning drawings to be reviewed, including the planned volume ratio, planned building density, and planned greening rate. These three indicators are key parameters for measuring the rationality and compliance of architectural planning. The architectural planning drawings are the actual architectural drawings. If they are consistent with the planned volume ratio, planned building density, and planned greening rate, the review is passed. If they are inconsistent, the review is failed and an error is present.

[0014] Furthermore, based on the planned floor area ratio, planned building density and planned greening rate, drawings of projects with the same planned floor area ratio, planned building density and planned greening rate are retrieved in the drawing database, and anomaly analysis of the same drawings is performed to find out if there are abnormal indicators in the drawings of similar projects, providing a reference for the current drawing review.

[0015] Step S10 in the method provided in the embodiment of the present application includes: Obtain the target project corresponding to the architectural planning drawings to be reviewed; Obtain the planned volume ratio, planned building density, and planned greening rate corresponding to the target project; Drawings of projects with the same planned volume ratio, planned building density or planned greening rate are retrieved from a drawing database to obtain a same drawing set, wherein the drawing database includes drawings that have been reviewed in a historical period.

[0016] In the embodiment of the present application, the target project corresponding to the building plan drawing to be reviewed is first obtained, that is, the specific construction project to which the current review object belongs is clarified. For example, the building plan drawing to be reviewed currently corresponds to a residential community project.

[0017] After determining the target project, obtain the corresponding planned volume ratio, planned building density, and planned greening rate of the target project. That is, the volume ratio, building density, and greening rate planned during the land transfer and construction process. The volume ratio, building density, and greening rate of the drawings submitted for review in the architectural planning drawings must meet the requirements of the planned volume ratio, planned building density, and planned greening rate in order to pass the review. Among them, the planned volume ratio is the ratio of the building area within the construction land for calculating the volume ratio to the area of the buildable land, for example, it should be no more than 3.5. The planned building density is the ratio of the total base area of the buildings within the construction land to the occupied land area, for example, it should be no more than 30%. The planned greening rate is the ratio of the total area of various types of green land within the construction land to the total area of the area, for example, it should be no less than 35%.

[0018] Furthermore, after obtaining key planning indicators (i.e., planned floor area ratio, planned building density, and planned greening ratio), a search is performed within the drawing database for identical drawings. This involves searching for architectural planning drawings of projects with the same planned floor area ratio, planned building density, or planned greening ratio (i.e., at least one of the three being the same) in historical review records. These drawings are then considered identical drawings, thereby obtaining a set of identical drawings. For example, if the planned floor area ratio of the current target project is 3.5, then architectural planning drawings of all projects with a planned floor area ratio of 3.5 are retrieved.

[0019] The drawing database includes all architectural planning drawings that have been reviewed in the historical period and can be constructed through the database of the drawing review unit. It includes all drawings that have passed and failed the review, and may include multiple architectural planning drawings that have been modified before and after a project.

[0020] Since similar problems may occur during the drawing design process of engineering projects with the same plan, after retrieving the same drawing set, an anomaly analysis of drawings with the same planning indicators is performed to analyze the extent of possible anomalies in the current architectural planning drawings.

[0021] Step S10 of the method provided in the embodiment of the present application further includes: Obtaining an average deviation amplitude of floor area ratio, building density or greening ratio deviations in multiple drawings in the same drawing set during the review process, and obtaining the volume deviation amplitude, density deviation amplitude and greening deviation amplitude; The volume deviation amplitude, density deviation amplitude and greening deviation amplitude are used as volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient, wherein the volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient are positive or negative values.

[0022] In an embodiment of the present application, problem analysis is performed on drawings in the same drawing set, and deviations of planning indicators are calculated to identify possible abnormal trends in the architectural planning drawings currently to be reviewed.

[0023] Specifically, based on the review records of multiple drawings in the same drawing set, the average deviation amplitude of the floor area ratio, building density, or greening ratio deviations found in the drawings within the same drawing set during the review is obtained, and the volume deviation amplitude, density deviation amplitude, and greening ratio deviation amplitude are obtained. A floor area ratio deviation generally refers to the floor area ratio on the drawing being greater than the planned floor area ratio; a building density deviation generally refers to the building density on the drawing being greater than the planned building density; and a greening ratio deviation generally refers to the greening ratio on the drawing being less than the planned greening ratio.

[0024] Specifically, the difference between the plot ratio (FAR) and the planned FAR for multiple drawings in the same drawing set is calculated. The ratio of this difference to the planned FAR is then calculated to determine the FAR deviation. The average of these deviations across multiple drawings is then calculated to determine the FAR deviation. For example, if the FAR for a particular drawing is 4.0 and the planned FAR is 3.5, the FAR deviation is (4 - 3.5) / 3.5 = 14%.

[0025] In this way, based on the building density and greening rate in multiple drawings in the same drawing set, combined with the planned building density and planned greening rate of the corresponding engineering projects, the building density deviation amplitude and greening rate deviation amplitude of multiple drawings are calculated, and the average is calculated to obtain the volume deviation amplitude, density deviation amplitude and greening deviation amplitude.

[0026] Furthermore, the calculated volume deviation amplitude, density deviation amplitude and greening deviation amplitude are used as the volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient, that is, the degree to which the floor area ratio, building density and greening rate are abnormal in the same drawings of the current architectural planning drawings to be reviewed. Since the drawings of engineering projects with the same planning indicators may have similar abnormal problems during the design and drawing process, the volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient also reflect the degree to which the current architectural planning drawings may have abnormal problems.

[0027] Among them, the volume abnormality coefficient, density abnormality coefficient, and greening abnormality coefficient can be positive or negative. Specifically, if the volume abnormality coefficient and density abnormality coefficient are positive, it usually indicates that the floor area ratio and building density are too high. If the greening abnormality coefficient is negative, it usually indicates that the greening rate is too low.

[0028] In summary, the embodiment of the present application constructs a data-driven anomaly identification mechanism through statistical analysis of drawings with the same planning indicators in historical audit data, which can predict the extent of possible problems in the three types of indicators, provide data support for subsequent pre-audit annotations, improve the pertinence and accuracy of subsequent audits, and improve the audit efficiency and compliance of building planning drawings.

[0029] S20: Calculate and adjust the number of adjacent drawing retrievals of the three features according to the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient to obtain three adjacent drawing retrieval numbers.

[0030] In the examples of this application, the foregoing content analyzes the degree to which the floor area ratio, building density, and greening ratio of the currently reviewed building plan drawings may exhibit problems and anomalies, namely, the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient. Further analysis is needed to determine the probability that problems may exist with the floor area ratio, building density, and greening ratio of the currently reviewed building plan drawings.

[0031] Specifically, this embodiment of the present application analyzes the probability of problems with the current building plan drawing based on the probability of problems and anomalies with similar building plan drawings. The number of adjacent drawings (i.e., similar drawings) to search is configured based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, resulting in three adjacent drawing search counts. The greater the degree of the possible problem anomaly, the greater the probability of the problem anomaly. Therefore, a larger number of adjacent drawings is set to search, thereby improving the accuracy of the problem probability analysis.

[0032] like Figure 2 As shown, step S20 in the method provided in the embodiment of the present application includes: Get the preset adjacent drawing retrieval quantity; According to the volume anomaly coefficient, a volume-density influence coefficient and a volume-greening influence coefficient are obtained; According to the density anomaly coefficient, a density-volume influence coefficient and a density-greening influence coefficient are obtained; According to the greening anomaly coefficient, a greening-volume influence coefficient and a greening-density influence coefficient are obtained; According to the volume anomaly coefficient, the density-volume influence coefficient and the greening-volume influence coefficient, a total volume anomaly coefficient is calculated, and a total density anomaly coefficient and a total greening influence coefficient are calculated; The total volume anomaly coefficient, the total density anomaly coefficient and the total greening impact coefficient are used to calculate and adjust the preset adjacent drawing retrieval quantity to obtain three adjacent drawing retrieval quantities.

[0033] In an embodiment of the present application, a preset number of adjacent drawing retrievals is first obtained, that 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 drawing are retrieved to analyze the probability of abnormal problems in the volume ratio, building density and greening rate of the similar drawings, so as to obtain the probability of abnormal problems in the volume ratio, building density and greening rate of the current building planning drawing.

[0034] Furthermore, in the design and drawing of architectural planning drawings, the three indicators of volume ratio, building density, and greening rate are usually correlated and mutually influential. For example, if the volume ratio is too high, it will often lead to an increase in building density, that is, more buildings are arranged per unit land area. Excessive building density usually means a decrease in greening rate, because the land area available for greening is reduced, and if the greening rate is too low, it may mean a larger building scale, which in turn affects the volume ratio and building density. Therefore, based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient obtained by analysis, the magnitude of the problem anomaly of each indicator is calculated to determine the magnitude of the problem anomaly caused by the other two indicators. Then, the influence of the three is combined to calculate the total magnitude of the problem anomaly of the three indicators in the current architectural planning drawing after obtaining the mutual influence.

[0035] First, according to the volume anomaly coefficient, the volume-density influence coefficient and the volume-greening influence coefficient are processed and obtained, wherein the volume anomaly coefficient is a positive number. Under the premise of the same planned building height, the larger the volume anomaly coefficient is, the larger the building density is and the smaller the greening rate is. Therefore, the volume anomaly coefficient is directly set to the volume-density influence coefficient, that is, the larger the floor area ratio is, the more affected the building density is. The opposite of the volume anomaly coefficient is directly set to the volume-greening influence coefficient, that is, the larger the floor area ratio is, the smaller the greening rate is affected. Exemplarily, if the volume anomaly coefficient is 10%, then the volume-density influence coefficient and the volume-greening influence coefficient are 10% and -10%. The volume-density influence coefficient and the volume-greening influence coefficient reflect the degree of abnormality of the problem of building density and greening rate being affected by the abnormal floor area ratio.

[0036] Optionally, a search can be performed in the drawing database to obtain the density anomaly coefficient and the greening anomaly coefficient in the drawings that have been audited to have the volume anomaly coefficient, and the average is calculated as the volume-density influence coefficient and the volume-greening influence coefficient. For example, if the average values of the density anomaly coefficient and the greening anomaly coefficient in multiple drawings with an audited 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.

[0037] Furthermore, based on the same method, the density-volume influence coefficient and the density-greening influence coefficient are obtained according to the density anomaly coefficient, and the greening-volume influence coefficient and the greening-density influence coefficient are obtained according to the greening anomaly coefficient.

[0038] The density anomaly coefficient is a positive number; the larger it is, the higher the floor area ratio and the lower the greening ratio. The density anomaly coefficient is directly used as the density-volume impact coefficient, and the inverse of the density anomaly coefficient is used as the density-greening impact coefficient. For example, if the density anomaly coefficient is 8%, the density-volume impact coefficient is 8%, and the density-greening impact coefficient is -8%.

[0039] The greening anomaly coefficient is a negative number. The smaller it is, the higher the floor area ratio and the greater the building density. The inverse of the greening anomaly coefficient is used as the greening-volume impact coefficient and the greening-density impact coefficient. For example, if the greening anomaly coefficient is -5%, the greening-volume impact coefficient and the greening-density impact coefficient are 5%.

[0040] Furthermore, the total volume anomaly coefficient is obtained by calculating the mean of the absolute values of the volume anomaly coefficient, the density-volume influence coefficient, and the greening-volume influence coefficient. For example, if the volume anomaly coefficient, the density-volume influence coefficient, and the greening-volume influence coefficient are 10%, 8%, and 5%, respectively, the total volume anomaly coefficient is 7.67%. The total volume anomaly coefficient includes the extent of abnormal volume ratio problems within the same architectural plan drawing, as well as the extent of abnormal volume ratio problems caused by the building density and greening rate, more accurately reflecting the extent of potential volume anomalies in the current architectural plan drawing.

[0041] In a similar manner, the total density anomaly coefficient, volume-density influence coefficient, and greening-density influence coefficient are averaged by calculating their absolute values. The total greening influence coefficient is obtained by calculating the average of the absolute values of the greening anomaly coefficient, volume-greening influence coefficient, and density-greening influence coefficient.

[0042] Furthermore, the total volume anomaly coefficient, total density anomaly coefficient, and total greening impact coefficient are used to calculate and adjust the preset number of adjacent drawings to be searched. The greater the potential for problems with the current building plan's floor area ratio, building density, and greening ratio, the greater the probability of frequent problems. Therefore, a larger number of adjacent drawings needs to be searched for adjacent drawings and the probability of problem anomalies needs to be analyzed. Therefore, the total volume anomaly coefficient, total density anomaly coefficient, and total greening impact coefficient are used to amplify the preset number of adjacent drawings to be searched.

[0043] For example, 1 and the sum of the total volume anomaly coefficient, the total density anomaly coefficient, and the total greening impact coefficient are multiplied by the preset adjacent drawing search quantity and rounded to the nearest integer to obtain three adjacent drawing search quantities, namely the volume adjacent drawing search quantity, the density adjacent drawing search quantity, and the greening adjacent drawing search quantity. For example, if the total volume anomaly coefficient is 7.67%, the adjusted volume adjacent drawing search quantity is calculated as .

[0044] The embodiment of the present application analyzes the abnormal amplitude of the volume ratio, building density and greening rate of drawings with the same planning indicators, and considers the influence among the three, and adjusts the number of similar drawings that need to be referenced before the review, that is, the number of adjacent drawing retrievals, so that indicators with larger abnormalities can obtain more similar drawing case analysis support, thereby improving the accuracy of the abnormal 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.

[0045] S30: According to the number of adjacent drawings retrieved, perform adjacent drawing retrieval respectively to obtain three adjacent drawing sets, perform adjacent drawing anomaly analysis, and obtain volume anomaly rate, density anomaly rate, and greening anomaly rate.

[0046] In the embodiment of the present application, based on the calculated number of adjacent drawings to be retrieved, similar drawings, i.e., adjacent drawings, are retrieved separately to obtain three sets of adjacent drawings. Based on these similar adjacent drawings, an abnormal probability analysis of the floor area ratio, building density, and greening rate is performed to obtain the volume abnormality rate, density abnormality rate, and greening abnormality rate. This can reflect the probability that the floor area ratio, building density, and greening rate in the current building plan drawings do not meet the planning requirements, and can then mark suspicious issues in the building plan drawings, providing reviewers with a highly efficient review reference, improving review efficiency and error detection rate.

[0047] Step S30 in the method provided in the embodiment of the present application includes: Based on the planned floor area ratio, similar drawings are searched in a drawing database to obtain a set of volume-adjacent drawings, wherein the similarity between the planned floor area ratios of the corresponding projects in other drawings and the planned floor area ratio is calculated for the search; Continue to search for similar drawings in the drawing database based on the planned building density and the planned greening rate to obtain a density adjacent drawing set and a greening adjacent drawing set until the number of three adjacent drawing retrievals is met, which are used as three adjacent drawing sets.

[0048] In an embodiment of the present application, based on the number of volume-adjacent drawings retrieved, a similar drawing search is performed within the drawing database according to the planned floor area ratio. Specifically, the difference between the planned floor area ratio of the project corresponding to the other drawings and the current planned floor area ratio is calculated, and the drawing with the smallest difference is used as the adjacent drawing, completing the search for the first adjacent drawing. The difference between the planned floor area ratio of the project corresponding to the remaining other drawings and the current planned floor area ratio is then calculated, and the drawing with the smallest difference is used as the adjacent drawing, and the search continues until the number of retrieved adjacent drawings matches the number of retrieved volume-adjacent drawings. For example, if 54 adjacent drawings are retrieved, the adjacent drawing search based on the planned floor area ratio is completed, and a volume-adjacent drawing set is obtained.

[0049] Continuing, based on the density adjacent drawing search quantity and the greening adjacent drawing search quantity from the three adjacent drawing search quantities, similar drawings are searched within the drawing database. The difference between the planned building density and planned greening rate of the corresponding engineering projects in other drawings and the planned volume ratio of the current target project is calculated. The drawing with the smallest difference is selected as the adjacent drawing until the number reaches the density adjacent drawing search quantity and the greening adjacent drawing search quantity, thereby obtaining the density adjacent drawing set and the greening adjacent drawing set. In this way, three adjacent drawing sets are retrieved.

[0050] The embodiment of the present application retrieves the drawings with the smallest difference between the planned volume ratio, planned building density, and planned greening rate of the corresponding engineering project and the planned volume ratio, planned building density, and planned greening rate of the current target project as adjacent drawings. Drawings reviewed in other historical periods with a high degree of similarity can be effectively retrieved and obtained as the data basis for analyzing the probability of problems occurring in the current building planning drawings. The problem probability can then be analyzed to provide visual annotation reminders before the review, thereby improving the pertinence and efficiency of the reviewers' reviews.

[0051] Step S30 in the method provided in the embodiment of the present application further includes: In the three adjacent drawing sets, the number of drawings with abnormal volume ratios is extracted as the volume abnormality number, and the ratio of the number of drawings to the sum of the number of retrieved drawings in the three adjacent drawing sets is calculated as the volume abnormality rate; Continue to extract the number of drawings that are found to have abnormal building density and greening rate as the density abnormality number and greening abnormality number, and calculate the density abnormality rate and greening abnormality rate.

[0052] In this embodiment of the present application, prior to reviewing the architectural plan drawings, an anomaly analysis is performed based on the volume adjacency drawing set, density adjacency drawing set, and greenery adjacency drawing set to comprehensively assess the compliance of the drawings to be reviewed. Specifically, the number of drawings in these adjacency drawing sets that have been reviewed and determined to be abnormal is counted, and based on this, the volume anomaly rate, density anomaly rate, and greenery anomaly rate are calculated to provide data support for the final review and judgment.

[0053] In the volume adjacency drawing set, density adjacency drawing set, and green space adjacency drawing set, based on the historical review records of the adjacency drawings, the number of drawings with abnormal floor area ratios is extracted as the number of volume abnormalities. For example, the number of volume abnormalities is 20. The review records of the drawings can be stored in the drawing database and marked in the electronic file information of the corresponding drawing.

[0054] Furthermore, the ratio of the number of volumetric anomalies to the sum of the number of retrieved drawings from the three adjacent drawings (i.e., the total number of all adjacent drawings) is calculated as the volumetric anomaly rate, which represents the probability of a volumetric anomaly occurring in the review of similar adjacent drawings. For example, if the sum of the number of retrieved drawings from the three adjacent drawings is 158, the volumetric anomaly rate is, for example, 20 / 158 = 12.7%. Because the current building plan drawings are highly similar to the adjacent drawings, the volumetric anomaly rate reflects the probability of a volumetric anomaly occurring in the current building plan drawings.

[0055] Furthermore, in the volume adjacency drawing set, density adjacency drawing set and greening adjacency drawing set, based on the audit records of the adjacency drawings in the historical period, the number of drawings that have been audited to have abnormal building density and greening rate is further extracted as the density anomaly number and the greening anomaly number, and then the ratio to the sum of the retrieved numbers of the three adjacency drawings is calculated respectively to obtain the density anomaly rate and the greening anomaly rate, which respectively reflect the probability of abnormal building density and greening rate in the current building planning drawings.

[0056] By calculating the volume anomaly rate, density anomaly rate and greening anomaly rate, we can make an early quantitative assessment of the probability of problems in the building planning drawings to be reviewed, provide a reference for the review, and then optimize the review process, improve the efficiency of intelligent review, and reduce errors and missed detections in manual review.

[0057] S40: According to the volume abnormality coefficient, density abnormality coefficient and greening abnormality coefficient, the volume abnormality rate, density abnormality rate and greening abnormality rate are marked and corrected, the building planning drawings are marked before review, and review processing is performed.

[0058] In an embodiment of the present application, in order to further improve the visualization of the markings of possible problems in building planning drawings, the volume abnormality rate, density abnormality rate and greening abnormality rate are marked and corrected according to the volume abnormality coefficient, density abnormality coefficient and greening abnormality coefficient, so that the marking information of drawings with a higher probability of problems with volume ratio, building density and greening rate and a larger degree of problem abnormality is more eye-catching and visualized, providing reviewers with more accurate and visual pre-review marking reminders.

[0059] Step S40 in the method provided in the embodiment of the present application includes: The sum of the absolute values of the volume anomaly coefficient, the density anomaly coefficient, and the greening anomaly coefficient and 1 is used as three annotation correction coefficients; The volume abnormality rate, density abnormality rate and greening abnormality rate are respectively calculated and corrected by using three correction coefficients to obtain the corrected volume abnormality rate, the corrected density abnormality rate and the corrected greening abnormality rate.

[0060] In the embodiment of the present application, 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, namely the volume annotation correction coefficient, density annotation correction coefficient, and greening annotation correction coefficient. In this way, the three annotation correction coefficients are used to perform annotation correction calculations on the volume anomaly rate, density anomaly rate, and greening anomaly rate, so that the larger the abnormal amplitude of the indicator, the greater the abnormal rate, which improves the visualization of the annotation. 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.

[0061] Furthermore, three annotation correction coefficients are used respectively, specifically the volume annotation correction coefficient, the density annotation correction coefficient and the greening annotation correction coefficient, to perform annotation correction calculations on the volume abnormality rate, the density abnormality rate and the greening abnormality rate. Specifically, the volume annotation correction coefficient, the density annotation correction coefficient and the greening annotation correction coefficient are multiplied by the volume abnormality rate, the density abnormality rate and the greening abnormality rate respectively to obtain the corrected volume abnormality rate, the corrected density abnormality rate and the corrected greening abnormality rate.

[0062] For example, if the volume anomaly rate is 12.7% and the volume annotation correction factor is 1.1, then the corrected volume anomaly rate = , which is 14.0%.

[0063] By marking and correcting the volume abnormality rate, density abnormality rate and greening abnormality rate, and magnifying the volume abnormality rate, density abnormality rate and greening abnormality rate according to the magnitude of possible problem abnormalities, the marking information of drawings with a higher probability of volume ratio, building density and greening rate problems and a larger magnitude of possible problem abnormalities will be more eye-catching and visual, providing auditors with more accurate and visual pre-audit marking reminders.

[0064] Step S40 in the method provided in the embodiment of the present application further includes: The corrected volume abnormality rate, the corrected density abnormality rate and the corrected greening abnormality rate are used to mark the building planning drawings, and the drawings are reviewed and processed according to the marked information.

[0065] In the embodiments of the present application, the revised modified volume anomaly rate, density anomaly rate, and greening anomaly rate are used to annotate architectural planning drawings. Specifically, the annotated information indicates the probability of problems with the floor area ratio, building density, and greening rate in the architectural planning drawings. This provides a reference for reviewers, who then conduct drawing review based on the prompts and references of the annotated information. Reviewers can then conduct targeted and focused reviews on drawings with a high probability of problems with the floor area ratio, building density, and greening rate, as well as on indicators with a high probability of problems (such as the floor area ratio), thereby improving review efficiency and reducing the rate of missed detection of drawing errors.

[0066] In the embodiment of the present application, ODA can optionally be used to parse the DWG file format drawings to be reviewed during subsequent audits. First, the DWG file is converted to DXF format to obtain elements such as frame information, layer information, graphic attributes, primitive types, geometric information annotations, and text. The different elements are then stored separately. Further, a deep learning algorithm can be used to identify data such as building outlines and coordinates within the drawings, as well as related text description data, for review, thereby improving audit efficiency.

[0067] For example, based on the drawing review data in historical time, the frame information, layer information, graphic attributes, primitive types, geometric information annotations, text and other elements in the drawing can be collected, and then the final recognized building outline, coordinates, text description and other data can be collected as sample data, and deep learning can be used for recognition training to further perform recognition.

[0068] After the review is completed, if there are any problems, the error points, violations and 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 circle on the drawing. When there are no errors, a qualified report will be output. The review report is presented in the form of charts and text, which is convenient for designers to understand intuitively and make quick adjustments.

[0069] The embodiment of the present invention provides a method for intelligent review and processing of architectural planning drawings, which has at least the following technical effects: The embodiment of the present invention extracts the planned volume ratio, planned building density, and planned greening rate from architectural planning drawings, searches for the same drawings, and performs anomaly analysis on the same drawings to obtain the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient. This method can identify potential anomalies based on historical audit data, providing a reference for current audits and subsequent analysis of drawing anomaly probabilities, thereby reducing the risk of missed audits due to human negligence. Furthermore, based on the volume anomaly coefficient, density anomaly coefficient, and greening anomaly coefficient, the number of adjacent drawings retrieved is adjusted, increasing the number of adjacent drawings retrieved for indicators with higher anomaly coefficients. This increases the focus on indicators prone to deviation during the audit process, thereby improving the pertinence and comprehensiveness of audit annotations. Subsequently, according to the adjusted number of adjacent drawing retrievals, the adjacent drawings are retrieved and anomaly analysis is performed on them to obtain the volume anomaly rate, density anomaly rate and greening anomaly rate. Finally, this method combines the anomaly analysis of the same drawing with the anomaly analysis results of the adjacent drawings to mark and correct the volume anomaly rate, density anomaly rate and greening anomaly rate, and marks the building planning drawings before review. This can intuitively prompt the reviewers to focus on the key issues in the drawings, reduce omissions in the review process, effectively shorten the review cycle, improve the accuracy and intelligence level of building planning review, and promote the digital and intelligent development of building planning management.

[0070] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0071] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0072] The present invention is described with reference to flow diagrams and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flow diagram and / or block diagram, as well as combinations of flows and / or blocks in the flow diagram and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the flow diagram and / or block diagram. Figure 1 flow or flows and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0073] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device that implements the flow Figure 1 flow or flows and / or boxes Figure 1 The function specified in one or more boxes.

[0074] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process in the flow. Figure 1 flow or flows and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0075] Although preferred embodiments of the present invention have been described, additional changes and modifications to these embodiments may occur to those skilled in the art once the basic inventive concepts become known.

[0076] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for intelligent review and processing of architectural planning drawings, characterized in that: The method comprises: Extract the planned volume ratio, planned building density and planned greening rate of the building 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 volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient; According to the volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient, the adjacent drawing retrieval quantities of the three features are calculated and adjusted to obtain three adjacent drawing retrieval quantities; According to the number of adjacent drawings retrieved, the adjacent drawings are retrieved respectively to obtain three adjacent drawing sets, and the abnormal analysis of the adjacent drawings is performed to obtain the volume abnormality rate, density abnormality rate and greening abnormality rate; According to the volume abnormality coefficient, density abnormality coefficient and greening abnormality coefficient, the volume abnormality rate, density abnormality rate and greening abnormality rate are marked and corrected, the building planning drawings are marked before review, and review processing is performed.

2. The intelligent review and processing method for architectural planning drawings according to claim 1 is characterized in that: Extract the planned volume ratio, planned building density and planned greening rate of the building planning drawings to be reviewed, and 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 volume ratio, planned building density, and planned greening rate corresponding to the target project; Drawings of projects with the same planned volume ratio, planned building density or planned greening rate are retrieved from a drawing database to obtain a same drawing set, wherein the drawing database includes drawings that have been reviewed in a historical period.

3. The intelligent review and processing method for architectural planning drawings according to claim 2 is characterized in that: Perform anomaly analysis on the same drawing to obtain volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient, including: Obtaining an average deviation amplitude of floor area ratio, building density or greening ratio deviations in multiple drawings in the same drawing set during the review process, and obtaining the volume deviation amplitude, density deviation amplitude and greening deviation amplitude; The volume deviation amplitude, density deviation amplitude and greening deviation amplitude are used as volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient, wherein the volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient are positive or negative values.

4. The intelligent review and processing method for architectural planning drawings according to claim 1 is characterized in that: According to the volume anomaly coefficient, density anomaly coefficient and greening anomaly coefficient, the number of adjacent drawings retrieved for the three features is calculated and adjusted, including: Get the preset adjacent drawing retrieval quantity; According to the volume anomaly coefficient, a volume-density influence coefficient and a volume-greening influence coefficient are obtained; According to the density anomaly coefficient, a density-volume influence coefficient and a density-greening influence coefficient are obtained; According to the greening anomaly coefficient, a greening-volume influence coefficient and a greening-density influence coefficient are obtained; According to the volume anomaly coefficient, the density-volume influence coefficient and the greening-volume influence coefficient, a total volume anomaly coefficient is calculated, and a total density anomaly coefficient and a total greening influence coefficient are calculated; The total volume anomaly coefficient, the total density anomaly coefficient and the total greening impact coefficient are used to calculate and adjust the preset adjacent drawing retrieval quantity to obtain three adjacent drawing retrieval quantities.

5. The intelligent review and processing method for architectural planning drawings according to claim 1 is characterized in that: According to the number of adjacent drawings retrieved, the adjacent drawings are retrieved separately to obtain three adjacent drawing sets, including: Based on the planned floor area ratio, similar drawings are searched in a drawing database to obtain a set of volume-adjacent drawings, wherein the similarity between the planned floor area ratios of the corresponding projects in other drawings and the planned floor area ratio is calculated for the search; Continue to search for similar drawings in the drawing database based on the planned building density and the planned greening rate to obtain a density adjacent drawing set and a greening adjacent drawing set until the number of three adjacent drawing retrievals is met, which are used as three adjacent drawing sets.

6. The intelligent review and processing method for architectural planning drawings according to claim 1 is characterized in that: Conduct abnormal analysis of adjacent drawings to obtain volume abnormality rate, density abnormality rate and greening abnormality rate, including: In the three adjacent drawing sets, the number of drawings with abnormal volume ratios is extracted as the volume abnormality number, and the ratio of the number of drawings to the sum of the number of retrieved drawings in the three adjacent drawing sets is calculated as the volume abnormality rate; Continue to extract the number of drawings that are found to have abnormal building density and greening rate as the density abnormality number and greening abnormality number, and calculate the density abnormality rate and greening abnormality rate.

7. The intelligent review and processing method for architectural planning drawings according to claim 1 is characterized in that: According to 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, including: The sum of the absolute values of the volume anomaly coefficient, the density anomaly coefficient, and the greening anomaly coefficient and 1 is used as three annotation correction coefficients; The volume abnormality rate, density abnormality rate and greening abnormality rate are respectively calculated and corrected by using three correction coefficients to obtain the corrected volume abnormality rate, the corrected density abnormality rate and the corrected greening abnormality rate.

8. The intelligent review and processing method for architectural planning drawings according to claim 7 is characterized in that: Mark the building plan drawings before review and conduct review processing, including: The corrected volume abnormality rate, the corrected density abnormality rate and the corrected greening abnormality rate are used to mark the building planning drawings, and the drawings are reviewed and processed according to the marked information.

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