An intelligent detection method for the modeling quality of BIM models

Abstract

The present invention relates to the technical field of data calculation and analysis in information technology, and specifically relates to an intelligent detection method for the modeling quality of a BIM model, including the following steps: establishing a BIM model detection work area, generating a detection standard rule library, initializing the detection standard rule library, configuring the detection standard library, performing the detection of the BIM model, generating a detection report, etc. The present invention is designed for the automated intelligent detection of BIM models, and can intelligently complete the detection of the to-be-detected models in the detection work area according to the detection standard rules, with the characteristics of intelligent automation. The maintenance of the modeling standards and the process of model detection do not require professional personnel, expanding the scope of application. The present invention can also automatically update the detection rules, accumulate the detection standard rule library of BIM models during continuous detection, and complete intelligent rule training, with the advantage of autonomous training and accumulation of detection rules.

Description

Technical Field

[0001] The present invention relates to the technical field of data calculation and analysis of information technology, and in particular to an intelligent detection method for the modeling quality of a BIM model. Background Art

[0002] BIM, or Building Information Modeling, is a digital tool in architecture, engineering, and civil engineering that is used to express three-dimensional graphics, object-oriented, and architecture-related digital designs.

[0003] A BIM model is more than just a 3D visualization; it's a single, complete, and logically structured building information library. This library encompasses not only visual information describing geometric shapes but also a wealth of non-geometric information, such as building materials, their fire resistance and thermal conductivity, and component costs and procurement information. A BIM model is a digital repository that records data from every stage of the construction process. It can be applied throughout a building's entire lifecycle, continuously influencing project construction and subsequent operational management.

[0004] BIM model design is no longer limited to the building itself, but has been elevated to the management of construction projects, and even to the development of building industrialization and the construction of the ecosystem. With the development of BIM, the quality of BIM design modeling needs to meet higher standards to meet the application scenarios of BIM models and the role they should play in the scenarios, and BIM model quality inspection has become a top priority. Traditional BIM model inspection is mainly handled manually, which is not only inefficient, but also has the risk of omissions or failures in the inspection process, resulting in unsatisfactory results. As the data covered by BIM models continues to increase, the workload of manual inspection is large and the efficiency is low; some projects have enabled BIM model inspection using information technology, but the maintenance of modeling standards and the model inspection process still require professional personnel, making it difficult to popularize and apply. Summary of the Invention

[0005] The purpose of the present invention is to overcome the shortcomings of the existing technology and propose a method for intelligent detection of BIM model modeling quality, which can intelligently complete the detection of the model to be tested in the detection workspace according to the detection standard rules.

[0006] The technical solution adopted by the present invention to solve the technical problem is:

[0007] An intelligent detection method for BIM model quality, comprising:

[0008] Step 1, Establish a BIM model detection workspace: Set the address Fp of the specified path as the BIM model detection workspace WP1, create a global variable Fp, and assign the disk path address of WP1;

[0009] Step 2, Generate a detection standard rule library: The standard rule library consists of BIM model component classification and detection rule formulas; First, create a timed call program that scans the BIM model detection workspace WP1 every 3 minutes. If there is a BIM model file that meets the format requirements, disassemble and classify the BIM model components, read the component attributes, and generate a detection standard rule set R1 according to the classification principle of major categories and minor categories based on the component attribute parameters; Using the classification of major categories and minor categories as query conditions, it is possible to match and retrieve the detection items in the detection standard rule library to determine whether the data meets the rule requirements. For the detection items that cannot be matched, save the detection items to generate a temporary detection standard rule library T1;

[0010] Step 3, Initialize the detection standard rule library: For the rule items in the temporary detection standard rule library T1, automatically assign two detection rules to each detection rule item according to the BIM model detection standard specification, and save and update the detection standard rule library Ts1;

[0011] Step 4, Configure the detection standard library: Adjust the standard rule library Ts1 according to the actual situation, update, streamline or add the automatically assigned rule formulas, and save the updated rules to the detection standard rule library Ts1;

[0012] Step 5, Execute the BIM model detection: The timed call program scans the BIM model detection workspace WP1 every 3 minutes. If there are multiple BIM model files in the workspace, generate a set of models to be detected DT1. According to the detection rules of the detection standard rule library Ts1, detect each BIM model in the set DT1 one by one. If the component classification conditions of the BIM model can match the rule items, detect and record the detection results. If there are unmatched detection items, start from Step 2 again;

[0013] Step 6, Generate a detection report: After the BIM model set DT1 is detected, summarize the detection results of each BIM model in the recorded set DT1 to the set RU1. The set RU1 includes information such as major categories, minor categories, detection rule formulas, and whether the detection results pass, including not only the compliant items but also the non-compliant items; According to the pre-set result classification rules, automatically analyze the detection results, and generate a BIM model detection report according to the pre-set detection report template, and store the report in the path of the workspace WP1.

[0014] Further, in Step 2, the major categories include walls, floors, doors, windows, etc., and the minor categories include integrity, geometric information, material properties, labor and materials, cost, procurement information, etc.

[0015] Further, in step 3, the detection rules are as follows: one is whether it exists, and the other is the value range. For example, whether it exists is represented by True / False, and the value range is represented by 0-9.

[0016] Further, in step 6, the BIM model detection report is stored in the form of a Word document under the path of the working area WP1.

[0017] The technical effects of the present invention:

[0018] Compared with the prior art, an intelligent detection method for the modeling quality of a BIM model according to the present invention is designed for the automatic intelligent detection of a BIM model, has the characteristics of intelligent automation, and can intelligently complete the detection work of the model to be detected in the detection work area according to the detection standard rules. The present invention has the advantage of autonomous training and accumulation of detection rules, can automatically update the detection rules, accumulate the detection standard rule library of the BIM model during continuous detection, and complete intelligent rule training. Description of the Drawings

[0019] Figure 1 It is a flowchart of the intelligent detection method for the modeling quality of the BIM model of the present invention. Detailed Embodiments

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the specification.

[0021] Embodiment 1:

[0022] As Figure 1 shown, an intelligent detection method for the modeling quality of a BIM model involved in this embodiment includes:

[0023] Step 1, establish a BIM model detection work area: Set the address Fp of the specified path as the BIM model detection work area WP1, create a global variable Fp, and assign the disk path address of WP1;

[0024] Step 2: Generate a detection standard rule library: The standard rule library consists of BIM model component classification and detection rule formulas, including existence, value range, etc.; First, create a timed call program. Every 3 minutes, scan the BIM model detection workspace WP1. If there is a BIM model file that meets the format requirements, disassemble and classify the BIM model components, read the component attributes, and generate a detection standard rule set R1 according to the classification principle of major categories (such as walls, floors, doors, windows, etc.) and minor categories (such as integrity, geometric information, material attributes, labor and materials, cost, procurement information, etc.). Using the classification of major and minor categories as query conditions, it is possible to match and retrieve the detection items in the detection standard rule library to determine whether the data meets the rule requirements. For the detection items that cannot be matched, save the detection items and generate a temporary detection standard rule library T1.

[0025] Step 3: Initialize the detection standard rule library: For the rule items in the temporary detection standard rule library T1, according to the BIM model detection standard specification, automatically assign two detection rules to each detection rule item, one is existence, and the other is value range. For example, existence is represented by True / False, and the value range is represented by 0 - 9; and save and update the detection standard rule library Ts1;

[0026] Step 4: Configure the detection standard library: Adjust the standard rule library Ts1 according to the actual situation, update, streamline or add the automatically assigned rule formulas, and save the updated rules to the detection standard rule library Ts1;

[0027] Step 5: Execute the BIM model detection: The timed call program scans the BIM model detection workspace WP1 every three minutes. If there are multiple BIM model files in the workspace, generate a set of models to be detected DT1. According to the detection rules of the detection standard rule library Ts1, detect each BIM model in the set DT1 one by one. If the component classification conditions of the BIM model can match the rule items, detect and record the detection results. If there are unmatched detection items, start from Step 2 again;

[0028] Step 6: Generate a detection report: After the BIM model set DT1 is detected, summarize the detection results of each BIM model in the recorded set DT1 to the set RU1. The set RU1 includes information such as major categories, minor categories, detection rule formulas, and whether the detection results pass, including not only the compliant items but also the non-compliant items. According to the pre-set result classification rules, automatically analyze the detection results and generate a BIM model detection report according to the pre-set detection report template, and store the report in the form of a Word document in the path of the workspace WP1, in the / Report folder.

[0029] The present invention can intelligently complete the detection work of the model to be detected in the detection work area according to the detection standard rules, featuring intelligent automation. The maintenance of the modeling standard and the process of model detection do not require professional personnel, thus expanding the application scope. The present invention can also automatically update the detection rules, accumulate the detection standard rule library of BIM models during continuous detection, and complete intelligent rule training, having the advantage of autonomous training and accumulation of detection rules.

[0030] The above specific embodiments are only specific cases of the present invention. The patent protection scope of the present invention includes but is not limited to the above specific embodiments. Any appropriate changes or modifications made by any person skilled in the art who meets the claims of the present invention shall fall within the patent protection scope of the present invention.

Claims

1. An intelligent detection method for the modeling quality of a BIM model, characterized in that, Including: Step 1: Establish a BIM model detection workspace: Set the address Fp of the specified path as the BIM model detection workspace WP1, create a global variable Fp, and assign the disk path address of WP1; Step 2: Generate a detection standard rule library: The standard rule library consists of BIM model component classification and detection rule formulas; First, create a timed call program to scan the BIM model detection workspace WP1 every 3 minutes. If there are BIM model files that meet the format requirements, disassemble and classify the BIM model components, read the component attributes, and generate a detection standard rule set R1 according to the component attribute parameters and the classification principles of major categories and minor categories; Using the classification of major categories and minor categories as query conditions, it is possible to match and retrieve the detection items in the detection standard rule library to determine whether the data meets the rule requirements. For the detection items that cannot be matched, save the detection items and generate a temporary detection standard rule library T1; Step 3: Initialize the detection standard rule library: For the rule items in the temporary detection standard rule library T1, automatically assign two detection rules to each detection rule item according to the BIM model detection standard specification, and save and update the detection standard rule library Ts1; Step 4: Configure the detection standard library: Adjust the standard rule library Ts1 according to the actual situation, update, streamline or add the automatically assigned rule formulas, and save and update the rules to the detection standard rule library Ts1; Step 5: Execute the BIM model detection: The timed call program scans the BIM model detection workspace WP1 every 3 minutes. If there are multiple BIM model files in the workspace, generate a set of models to be detected DT1. According to the detection rules of the detection standard rule library Ts1, detect each BIM model in the set DT1 one by one. If the component classification conditions of the BIM model can match the rule items, detect and record the detection results. If there are unmatched detection items, start from Step 2 again; Step 6: Generate a detection report: After the BIM model set DT1 is detected, summarize the detection results of each BIM model in the recorded set DT1 to the set RU1. The set RU1 includes major categories, minor categories, detection rule formulas, and whether the detection results pass, including not only the compliant items but also the non-compliant items; According to the pre-set result classification rules, automatically analyze the detection results, and generate a BIM model detection report according to the pre-set detection report template, and store the report in the path of the workspace WP1.

2. The intelligent detection method for the modeling quality of the BIM model according to claim 1, characterized in that In Step 2, the major categories include walls, floors, doors, and windows, and the minor categories include integrity, geometric information, material properties, labor and materials, cost, and procurement information.

3. The intelligent detection method for the modeling quality of the BIM model according to claim 1, wherein In Step 3, the detection rules are: one is whether it exists, and the other is the value range.

4. The intelligent detection method for the modeling quality of the BIM model according to claim 1 or 2 or 3, characterized in that, In Step 6, the BIM model detection report is stored in the path of the workspace WP1 in the form of a Word document.

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