Engineering project review method and system based on artificial intelligence

Through the artificial intelligence-based engineering project review method, automated processing and analysis of engineering project drawing differences, the problem of inefficiency of existing review methods is solved, and efficient review and design feasibility review are achieved.

CN120013282APending Publication Date: 2025-05-16STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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Patent Information

Application Number
CN202510086895.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-20
Publication Date
2025-05-16

AI Technical Summary

Technical Problem

The existing engineering project review methods are inefficient, and it is necessary to manually find the differences between the preliminary design drawings and construction drawings at the on-site review meeting, and optimize the solution based on actual construction analysis. This is more troublesome and difficult to meet the review needs.

Method used

Using an artificial intelligence-based engineering project review method, we can obtain engineering project information, perform high-definition equipment shooting and image preprocessing, locate and correct drawings, extract and map plumbing and heating construction lines, analyze the differences area and review construction feasibility, and obtain review scores.

Benefits of technology

Automatically find and analyze the differences in drawings, combine the feasibility of reviewing the design with the reasons for the change, improve review efficiency, reduce costs and time, and meet construction needs.

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Abstract

The invention discloses an artificial intelligence-based engineering project review method and system, and the method comprises the steps: obtaining engineering project information which comprises engineering preliminary design drawing information and construction drawing design drawing information; according to the method, an image processing technology is adopted, a preliminary design drawing and a construction drawing are shot and obtained and are denoised, so that image data are in the same standard, then the preliminary design drawing and the construction drawing are in a regular rectangular state, and the preliminary design drawing and the construction drawing can be compared by adopting the same base point; the method comprises the following steps of: copying a water heating and electricity design line in the building engineering to a preliminary design drawing by using the same base point, automatically searching a difference region, namely a changed region, analyzing whether the changed design is an optimal design or not by combining actual construction and change reasons, and automatically reviewing and scoring, so that the design efficiency is improved. According to the invention, through a datamation management process, the cost and time are greatly reduced.
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Description

Technical Field

[0001] The present invention relates to the technical field of engineering project review, and in particular to an engineering project review method and system based on artificial intelligence. Background Art

[0002] The review of the feasibility study report of an engineering project is of great significance for ensuring the necessity of the implementation of the engineering project and improving the rationality and economy of the implementation plan. Therefore, it plays a vital role in the engineering project management system.

[0003] The review of engineering projects includes the review of drawings, such as the changes between preliminary design drawings and construction drawings. At present, in most cases, the review of engineering projects is carried out by holding on-site review meetings, that is, the approval unit convenes review experts to hold a review meeting. At the meeting, the review expert group reviews and questions the design drawings provided by the design unit or the implementation unit, and then forms a review opinion. This method also requires the review expert group to find out the difference areas between the preliminary design drawings and the construction drawings, that is, the change areas, which is rather troublesome. Then, combined with the actual construction, analyze the optimal solution, which is rather troublesome, difficult to meet the review needs, and the review efficiency is low. Summary of the invention

[0004] In order to solve the above technical problems, an engineering project review method and system based on artificial intelligence are provided. This technical solution solves the problem raised in the above background technology that the review expert group needs to find the difference areas between the preliminary design drawings and the construction drawings at the meeting, that is, the change areas, which is rather troublesome. Then, combined with the actual construction, it is rather troublesome to analyze the optimal solution, which is difficult to meet the review needs and the review efficiency is low.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] An engineering project review method based on artificial intelligence, comprising:

[0007] Acquire engineering project information, wherein the engineering project information includes engineering preliminary design drawing information and construction design drawing information;

[0008] Use high-definition equipment to shoot the preliminary design drawing information and the construction drawing design information to obtain the preliminary design drawing image data and the construction drawing design drawing image data;

[0009] Preprocessing the preliminary design drawing images and the construction design drawing images, wherein the preprocessing operation is image denoising;

[0010] Performing rectangle positioning and tilt angle correction on the preprocessed image to obtain rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data;

[0011] Extract the water, heating and electricity construction lines on the construction design drawings, including water supply and drainage pipeline construction lines, HVAC pipeline construction lines and electric wire construction lines;

[0012] Map the plumbing, heating and electricity construction lines on the construction drawing design to the preliminary design drawings to obtain the difference areas between the plumbing, heating and electricity preliminary design lines and the plumbing, heating and electricity construction lines;

[0013] Retrieve all historical change information of the preliminary design drawings of the project and obtain the reasons for the changes;

[0014] Analyze the difference areas based on the reasons for the changes, review the construction feasibility of the changed water, heating and electricity construction lines, and obtain review scores.

[0015] Preferably, the preprocessing of the preliminary design drawing pictures and the construction design drawing pictures specifically includes the following steps:

[0016] Convert and process the preliminary design drawing pictures and the construction design drawing pictures to obtain digital signals;

[0017] Preprocess the digital signal to obtain a pure signal;

[0018] The clean signal is converted from the time domain to the frequency domain through the fast Fourier transform algorithm;

[0019] Perform spectrum analysis on the pure signal in the frequency domain to obtain the denoised image.

[0020] Preferably, the rectangular positioning and tilt angle correction of the pre-processed image specifically includes the following steps:

[0021] Perform edge detection on the image in the horizontal and vertical directions, and sum the detection results in the horizontal and vertical directions;

[0022] Based on the first morphological closing operation, the defective part of the image is processed to obtain the path area, and then the second morphological closing operation is used to remove the single line interference on the image;

[0023] Filling holes in the image processed by the first morphological closing operation;

[0024] Calculate the minimum bounding rectangle according to each white area in the image after the holes are filled, and obtain information of each bounding rectangle, wherein the rectangle information includes coordinates of the four vertices of the rectangle, an inclination angle, and the number of white pixels in the rectangular area;

[0025] According to the calculated rectangular tilt angles, their distribution within the right angle range is counted, and the angles with more concentrated distribution are used to perform preliminary tilt angle correction.

[0026] Preferably, the calculation formula of the minimum enclosing rectangle is:

[0027] Smin=min(S 1 ,S 2 ,....Sn)

[0028] In the formula, Smin is the minimum enclosing rectangle;

[0029] S 1 ,S 2 ,.....Sn is the area of ​​several groups of enclosing rectangles.

[0030] Preferably, the step of obtaining the rectangular preliminary design drawing image data and the rectangular construction design drawing image data specifically comprises the following steps:

[0031] In the image after the initial tilt angle correction, the defect area is located in the zero degree direction or the ninety degree direction, and the error is within the range of plus or minus ten degrees;

[0032] The candidate rectangles of the defect area are screened at the zero-degree and ninety-degree directions respectively to determine the final position and final angle of the defect area;

[0033] Perform a final rotation to obtain rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data.

[0034] Preferably, mapping the plumbing and electrical construction lines on the construction design drawings to the preliminary design drawings specifically includes the following steps:

[0035] Extract base points of the water supply and drainage pipeline construction line on the construction drawing design, wherein the base point extraction is to select a base point on the building and use a copy operation, and paste the copied water supply and drainage pipeline construction line in the preliminary design drawing according to the same base point;

[0036] Extract the base points of the HVAC pipeline construction lines on the construction drawing design, and paste the copied HVAC pipeline construction lines in the preliminary design drawings according to the same base points;

[0037] Extract the base points of the wire construction lines on the construction drawing design, and paste the copied wire construction lines in the preliminary design drawings according to the same base points;

[0038] In the preliminary design drawings, the differences between the water supply and drainage pipeline construction routes, HVAC pipeline construction routes, and electrical wire construction routes and the initial design routes are analyzed, and the areas of difference are circled.

[0039] Preferably, retrieving all historical change information of the preliminary design drawings of the project and obtaining the reasons for the changes specifically includes the following steps:

[0040] Retrieve all change lists of preliminary design drawings of the project from the database;

[0041] And sort the change list in date order, recording it as A1, A2, ..., An;

[0042] For all sorted change tables, perform table change reason keyword extraction operations to obtain change reason information in the change table.

[0043] Preferably, the analyzing of the difference areas based on the reasons for the changes, reviewing the construction feasibility of the changed water, heating and electricity construction lines, and obtaining the review scores specifically include the following steps:

[0044] Based on the change reasons in the obtained change table, conduct feasibility analysis on the preliminary design drawings of the project after each change;

[0045] Review the feasibility of the analysis and obtain review scores for each difference area;

[0046] Compare the review scores with the preset thresholds;

[0047] If the review score is greater than or equal to the preset threshold, the changed drawings meet the construction requirements;

[0048] If the review score is less than the preset threshold, the changed drawings cannot meet the construction requirements and need to be modified.

[0049] An engineering project review system based on artificial intelligence, comprising:

[0050] An acquisition module, the acquisition module is used to acquire engineering project information, the engineering project information includes engineering preliminary design drawing information and construction design drawing information;

[0051] A shooting module is used to shoot the preliminary design drawing information and the construction drawing design information with a high-definition device to obtain the preliminary design drawing image data and the construction drawing design drawing image data;

[0052] A picture data processing module, the picture data processing module comprising a first data processing unit and a second data processing unit;

[0053] A line analysis module, the line analysis module comprising a first line analysis unit and a second line analysis unit;

[0054] An evaluation module, which is used to retrieve all historical change information of the preliminary design drawings of the project, obtain the reasons for the changes, analyze the difference areas based on the reasons for the changes, evaluate the construction feasibility of the changed water, heating and electricity construction lines, and obtain the evaluation score;

[0055] A first data processing unit, the first data processing unit is used to pre-process the preliminary design drawing image and the construction design drawing image, wherein the pre-processing operation is image denoising;

[0056] A second data processing unit, the second data processing unit is used to perform rectangular positioning and tilt angle correction on the pre-processed image, and obtain rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data;

[0057] A first circuit analysis unit, the first circuit analysis unit is used to extract water, heating and electricity construction circuits on the construction design drawing;

[0058] The second line analysis unit is used to map the water, heating and electricity construction lines on the construction drawing design drawings to the preliminary design drawings to obtain the difference areas between the water, heating and electricity preliminary design lines and the water, heating and electricity construction lines.

[0059] Compared with the prior art, the present invention provides an engineering project review method and system based on artificial intelligence, which has the following beneficial effects:

[0060] In engineering projects, drawings are often changed, and it is necessary to change the preliminary design drawings in combination with actual construction. The present invention adopts image processing technology, obtains preliminary design drawings and construction drawings by photographing and denoising them, so that the image data is in the same standard and has reference and researchability. The preliminary design drawings and construction drawings are then placed in a rectangular state. In this way, the two drawings can be compared using the same base point. By copying the water, heating and electricity design lines in the construction project to the preliminary design drawings at the same base point, the difference area, that is, the area after the change, is automatically found. In combination with the actual construction and the reason for the change, it is analyzed whether the changed design is the optimal design, and automatically reviewed and scored. If it cannot meet the construction requirements, it needs to be modified again. The present invention does not require manual review. Through a digitized management process, it greatly reduces costs and time, effectively improves the efficiency of engineering project review, and can also modify the drawings in a timely manner to meet construction requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1It is a schematic diagram of the engineering project review method in the present invention;

[0062] Figure 2 It is a schematic diagram of a method for preprocessing preliminary design drawing pictures and construction design drawing pictures in the present invention;

[0063] Figure 3 A schematic diagram of a method for performing rectangle positioning and tilt angle correction on a pre-processed image in the present invention;

[0064] Figure 4 A schematic diagram of a method for obtaining rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data in the present invention;

[0065] Figure 5 It is a schematic diagram of a method for mapping water, heating and electricity construction lines on a construction design drawing to a preliminary design drawing in the present invention;

[0066] Figure 6 A schematic diagram of a method for obtaining review scores in the present invention. DETAILED DESCRIPTION

[0067] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0068] Example 1

[0069] Please refer to Figure 1-Figure 6 As shown, an engineering project review method based on artificial intelligence includes:

[0070] Obtain engineering project information, including engineering preliminary design drawing information and construction design drawing information;

[0071] Use high-definition equipment to shoot the preliminary design drawing information and the construction drawing design information to obtain the preliminary design drawing image data and the construction drawing design drawing image data;

[0072] Preprocessing the preliminary design drawing images and the construction design drawing images, the preprocessing operation is image denoising;

[0073] Performing rectangle positioning and tilt angle correction on the preprocessed image to obtain rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data;

[0074] Extract the plumbing, heating and electricity construction lines on the construction design drawings, including water supply and drainage pipeline construction lines, HVAC pipeline construction lines and wire construction lines;

[0075] Map the plumbing, heating and electricity construction lines on the construction drawing design to the preliminary design drawings to obtain the difference areas between the plumbing, heating and electricity preliminary design lines and the plumbing, heating and electricity construction lines;

[0076] Retrieve all historical change information of the preliminary design drawings of the project and obtain the reasons for the changes;

[0077] Analyze the difference areas based on the reasons for the changes, review the construction feasibility of the changed water, heating and electricity construction lines, and obtain review scores.

[0078] It is understandable to those skilled in the art that in engineering projects, changes to drawings are often encountered, and preliminary design drawings need to be changed in combination with actual construction. The present invention adopts image processing technology, obtains preliminary design drawings and construction drawings by photographing and denoising them, so that the image data is in the same standard and has reference and researchability. The preliminary design drawings and construction drawings are then placed in a rectangular state. In this way, the two drawings can be compared using the same base point. By copying the water, heating and electricity design lines in the construction project to the preliminary design drawings using the same base point, the difference area, that is, the area after the change, is automatically found. In combination with the actual construction and the reason for the change, it is analyzed whether the changed design is the most optimized design, and the design is automatically reviewed and scored. If the construction cannot be met, it needs to be modified again. The present invention does not require manual review, and through a digitized management process, it greatly reduces costs and time, effectively improves the efficiency of engineering project review, and can also modify the drawings in a timely manner to meet construction needs.

[0079] Preprocessing of preliminary design drawings and construction design drawings includes the following steps:

[0080] Convert and process the preliminary design drawing pictures and the construction design drawing pictures to obtain digital signals;

[0081] Preprocess the digital signal to obtain a pure signal;

[0082] The clean signal is converted from the time domain to the frequency domain through the fast Fourier transform algorithm;

[0083] Perform spectrum analysis on the pure signal in the frequency domain to obtain the denoised image.

[0084] The steps of performing rectangle positioning and tilt angle correction on the preprocessed image are as follows:

[0085] Perform edge detection on the image in the horizontal and vertical directions, and sum the detection results in the horizontal and vertical directions;

[0086] Based on the first morphological closing operation, the defective part of the image is processed to obtain the path area, and then the second morphological closing operation is used to remove the single line interference on the image;

[0087] Filling holes in the image processed by the first morphological closing operation;

[0088] Calculate the minimum bounding rectangle according to each white area in the image after the holes are filled, and obtain the information of each bounding rectangle, which includes the coordinates of the four vertices of the rectangle, the tilt angle, and the number of white pixels in the rectangular area;

[0089] According to the calculated rectangular tilt angles, their distribution within the right angle range is counted, and the angles with more concentrated distribution are used to perform preliminary tilt angle correction.

[0090] The calculation formula for the minimum enclosing rectangle is:

[0091] Smin=min(S 1 ,S 2 ,....Sn)

[0092] In the formula, Smin is the minimum enclosing rectangle;

[0093] S 1 ,S 2 ,.....Sn is the area of ​​several groups of enclosing rectangles.

[0094] The steps of obtaining the rectangular preliminary design drawing image data and the rectangular construction drawing design drawing image data specifically include the following steps:

[0095] In the image after the initial tilt angle correction, the defect area is located in the zero degree direction or the ninety degree direction, and the error is within the range of plus or minus ten degrees;

[0096] The candidate rectangles of the defect area are screened at the zero-degree and ninety-degree directions respectively to determine the final position and final angle of the defect area;

[0097] Perform a final rotation to obtain rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data.

[0098] Mapping the plumbing and electrical construction lines on the construction drawing to the preliminary design drawing specifically includes the following steps:

[0099] Extract base points of the water supply and drainage pipeline construction lines on the construction drawing design. The base point extraction is to select a base point on the building and copy it, and then paste the copied water supply and drainage pipeline construction line in the preliminary design drawing according to the same base point;

[0100] Extract the base points of the HVAC pipeline construction lines on the construction drawing design, and paste the copied HVAC pipeline construction lines in the preliminary design drawings according to the same base points;

[0101] Extract the base points of the wire construction lines on the construction drawing design, and paste the copied wire construction lines in the preliminary design drawings according to the same base points;

[0102] In the preliminary design drawings, the differences between the water supply and drainage pipeline construction routes, HVAC pipeline construction routes, and electrical wire construction routes and the initial design routes are analyzed, and the areas of difference are circled.

[0103] Retrieving all historical change information of the preliminary design drawings of the project and obtaining the reasons for the changes specifically includes the following steps:

[0104] Retrieve all change lists of preliminary design drawings of the project from the database;

[0105] And sort the change list in date order, recording it as A1, A2, ..., An;

[0106] For all sorted change tables, perform table change reason keyword extraction operations to obtain change reason information in the change table.

[0107] Analyze the difference areas based on the reasons for the changes, and review the construction feasibility of the changed water, heating and electricity construction lines. The specific steps to obtain the review score include the following:

[0108] Based on the change reasons in the obtained change table, conduct feasibility analysis on the preliminary design drawings of the project after each change;

[0109] Review the feasibility of the analysis and obtain review scores for each difference area;

[0110] Compare the review scores with the preset thresholds;

[0111] If the review score is greater than or equal to the preset threshold, the changed drawings meet the construction requirements;

[0112] If the review score is less than the preset threshold, the changed drawings cannot meet the construction requirements and need to be modified.

[0113] An engineering project review system based on artificial intelligence, comprising:

[0114] The acquisition module is used to acquire project information, including preliminary design drawing information and construction design drawing information;

[0115] A shooting module is used to shoot the preliminary design drawing information and the construction drawing design information with high-definition equipment to obtain the preliminary design drawing image data and the construction drawing design drawing image data;

[0116] A picture data processing module, the picture data processing module includes a first data processing unit and a second data processing unit;

[0117] A line analysis module, the line analysis module includes a first line analysis unit and a second line analysis unit;

[0118] Review module: The review module is used to retrieve all historical change information of the preliminary design drawings of the project, obtain the reasons for the changes, analyze the difference areas based on the reasons for the changes, review the construction feasibility of the changed water, heating and electricity construction lines, and obtain the review score;

[0119] A first data processing unit, the first data processing unit is used to pre-process the preliminary design drawing image and the construction design drawing image, the pre-processing operation is image denoising;

[0120] A second data processing unit, the second data processing unit is used to perform rectangular positioning and tilt angle correction on the pre-processed image, and obtain rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data;

[0121] A first circuit analysis unit, the first circuit analysis unit is used to extract water, heating and electricity construction circuits on the construction design drawing;

[0122] The second line analysis unit is used to map the water, heating and electricity construction lines on the construction drawing design drawings to the preliminary design drawings to obtain the difference areas between the water, heating and electricity preliminary design lines and the water, heating and electricity construction lines.

[0123] To sum up, in engineering projects, drawing changes are often encountered, and the preliminary design drawings need to be changed in combination with actual construction. The present invention adopts image processing technology, captures the preliminary design drawings and construction drawings, and denoises them, so that the image data is in the same standard, with reference and researchability, and then the preliminary design drawings and construction drawings are in a rectangular state. In this way, the two drawings can be compared using the same base point, and the water, heating and electricity design lines in the construction project are copied to the preliminary design drawings with the same base point, and the difference area, that is, the area after the change, is automatically found. In combination with the actual construction and the reason for the change, it is analyzed whether the changed design is the optimized design, and automatically reviewed and scored. If it cannot meet the construction, it needs to be modified again. The present invention does not require manual review. Through the digitized management process, it greatly reduces costs and time, effectively improves the efficiency of engineering project review, and can also modify the drawings in a timely manner to meet construction needs.

[0124] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. An engineering project review method based on artificial intelligence, characterized in that: include: Acquire engineering project information, wherein the engineering project information includes engineering preliminary design drawing information and construction design drawing information; Use high-definition equipment to shoot the preliminary design drawing information and the construction drawing design information to obtain the preliminary design drawing image data and the construction drawing design drawing image data; Preprocessing the preliminary design drawing images and the construction design drawing images, wherein the preprocessing operation is image denoising; Performing rectangle positioning and tilt angle correction on the preprocessed image to obtain rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data; Extract the water, heating and electricity construction lines on the construction design drawings, including water supply and drainage pipeline construction lines, HVAC pipeline construction lines and electric wire construction lines; Map the plumbing, heating and electricity construction lines on the construction drawing design to the preliminary design drawings to obtain the difference areas between the plumbing, heating and electricity preliminary design lines and the plumbing, heating and electricity construction lines; Retrieve all historical change information of the preliminary design drawings of the project and obtain the reasons for the changes; Analyze the difference areas based on the reasons for the changes, review the construction feasibility of the changed water, heating and electricity construction lines, and obtain review scores.

2. According to the artificial intelligence-based engineering project review method of claim 1, it is characterized in that: The pre-processing of the preliminary design drawing pictures and the construction design drawing pictures specifically includes the following steps: Convert and process the preliminary design drawing pictures and the construction design drawing pictures to obtain digital signals; Preprocess the digital signal to obtain a pure signal; The clean signal is converted from the time domain to the frequency domain through the fast Fourier transform algorithm; Perform spectrum analysis on the pure signal in the frequency domain to obtain the denoised image.

3. The engineering project review method based on artificial intelligence according to claim 2 is characterized in that: The rectangular positioning and tilt angle correction of the pre-processed image specifically includes the following steps: Perform edge detection on the image in the horizontal and vertical directions, and sum the detection results in the horizontal and vertical directions; Based on the first morphological closing operation, the defective part of the image is processed to obtain the path area, and then the second morphological closing operation is used to remove the single line interference on the image; Filling holes in the image processed by the first morphological closing operation; Calculate the minimum bounding rectangle according to each white area in the image after the holes are filled, and obtain information of each bounding rectangle, wherein the rectangle information includes coordinates of the four vertices of the rectangle, an inclination angle, and the number of white pixels in the rectangular area; According to the calculated rectangular tilt angles, their distribution within the right angle range is counted, and the angles with more concentrated distribution are used to perform preliminary tilt angle correction.

4. The engineering project review method based on artificial intelligence according to claim 3 is characterized in that: The calculation formula of the minimum enclosing rectangle is: Smin=min(S1,S2,.....Sn) In the formula, Smin is the minimum enclosing rectangle; S1, S2, .....Sn are the areas of several groups of enclosing rectangles.

5. The engineering project review method based on artificial intelligence according to claim 4 is characterized in that: The step of obtaining the rectangular preliminary design drawing image data and the rectangular construction design drawing image data specifically includes the following steps: In the image after the initial tilt angle correction, the defect area is located in the zero degree direction or the ninety degree direction, and the error is within the range of plus or minus ten degrees; The candidate rectangles of the defect area are screened at the zero-degree and ninety-degree directions respectively to determine the final position and final angle of the defect area; Perform a final rotation to obtain rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data.

6. The engineering project review method based on artificial intelligence according to claim 5 is characterized in that: The mapping of the water, heating and electricity construction lines on the construction drawing design drawings to the preliminary design drawings specifically includes the following steps: Extract base points of the water supply and drainage pipeline construction line on the construction drawing design, wherein the base point extraction is to select a base point on the building and use a copy operation, and paste the copied water supply and drainage pipeline construction line in the preliminary design drawing according to the same base point; Extract the base points of the HVAC pipeline construction lines on the construction drawing design, and paste the copied HVAC pipeline construction lines in the preliminary design drawings according to the same base points; Extract the base points of the wire construction lines on the construction drawing design, and paste the copied wire construction lines in the preliminary design drawings according to the same base points; In the preliminary design drawings, the differences between the water supply and drainage pipeline construction routes, HVAC pipeline construction routes, and electrical wire construction routes and the initial design routes are analyzed, and the areas of difference are circled.

7. The method for reviewing engineering projects based on artificial intelligence according to claim 6, characterized in that: The method of retrieving all historical change information of the preliminary design drawings of the project and obtaining the change reasons specifically includes the following steps: Retrieve all change lists of preliminary design drawings of the project from the database; And sort the change list in date order, recording it as A1, A2, ..., An; For all sorted change tables, perform table change reason keyword extraction operations to obtain change reason information in the change table.

8. The engineering project review method based on artificial intelligence according to claim 7 is characterized in that: The analysis of the difference areas based on the reasons for the changes, the review of the construction feasibility of the changed water, heating and electricity construction lines, and the acquisition of the review scores specifically include the following steps: Based on the change reasons in the obtained change table, conduct feasibility analysis on the preliminary design drawings of the project after each change; Review the feasibility of the analysis and obtain review scores for each difference area; Compare the review scores with the preset thresholds; If the review score is greater than or equal to the preset threshold, the changed drawings meet the construction requirements; If the review score is less than the preset threshold, the changed drawings cannot meet the construction requirements and need to be modified.

9. An engineering project review system based on artificial intelligence, used to implement an engineering project review method based on artificial intelligence as described in claims 1-8, characterized in that: include: An acquisition module, the acquisition module is used to acquire engineering project information, the engineering project information includes engineering preliminary design drawing information and construction design drawing information; A shooting module is used to shoot the preliminary design drawing information and the construction drawing design information with a high-definition device to obtain the preliminary design drawing image data and the construction drawing design drawing image data; A picture data processing module, the picture data processing module comprising a first data processing unit and a second data processing unit; A line analysis module, the line analysis module comprising a first line analysis unit and a second line analysis unit; The review module is used to retrieve all historical change information of the preliminary design drawings of the project, obtain the reasons for the changes, analyze the difference areas based on the reasons for the changes, review the construction feasibility of the changed water, heating and electricity construction lines, and obtain the review score.

10. The engineering project review system based on artificial intelligence according to claim 9 is characterized in that: Also includes: A first data processing unit, the first data processing unit is used to pre-process the preliminary design drawing image and the construction design drawing image, wherein the pre-processing operation is image denoising; A second data processing unit, the second data processing unit is used to perform rectangular positioning and tilt angle correction on the pre-processed image, and obtain rectangular preliminary design drawing image data and rectangular construction drawing design drawing image data; A first circuit analysis unit, the first circuit analysis unit is used to extract water, heating and electricity construction circuits on the construction design drawing; The second line analysis unit is used to map the water, heating and electricity construction lines on the construction drawing design drawings to the preliminary design drawings to obtain the difference areas between the water, heating and electricity preliminary design lines and the water, heating and electricity construction lines.

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