Intelligent detection system for detecting installation quality of steel structure and detection method thereof

Abstract

The invention relates to the technical field of steel structure installation quality detection, and discloses an intelligent detection system for detecting steel structure installation quality and a detection method thereof, and the system comprises a multi-dimensional acquisition module and an intelligent analysis module. The system obtains detection data of all components and all joints through a multi-dimensional acquisition module, classifies the detection data to form a data set, an intelligent analysis module analyzes the dimensional deviation and the material quality of each component according to a structure data set, generates a deviation index, dynamically compares a BIM model, and sends the BIM model to the intelligent analysis module according to an installation data set. The method analyzes the stress distribution state of the steel structure and the installation quality of each connection position, generates a stress index and a defect index, discovers potential structure safety hazards in advance, accurately positions the connection positions with problems, is high in comprehensive detection precision, and evaluates the dimensional deviation degree, the material quality and the steel structure stress distribution state of each assembly. And the corresponding management suggestions are output, so that the intelligent management and installation quality is good.

Description

Technical Field

[0001] The present invention relates to the technical field of steel structure installation quality detection, and in particular to an intelligent detection system and a detection method for detecting the installation quality of a steel structure. Background Art

[0002] In modern construction, steel structures, with their advantages of high strength, light weight, and short construction periods, are widely used in various industrial and residential buildings. However, the quality of steel structure installation is directly related to the overall safety, stability, and durability of the building. Therefore, it is crucial to master and deeply understand the importance of conventional inspection methods for steel structure installation quality. Conventional inspection methods include visual inspection, weld inspection, dimensional inspection, and connection inspection. Visual inspection is the foundation, visually inspecting steel components for surface flatness, corrosion, and coating damage to visually determine whether there are any obvious defects. For welds, in addition to visual inspections of weld formation, reinforcement, and undercut, non-destructive testing methods such as ultrasonic testing and radiographic testing are also used to detect hidden defects such as porosity, slag inclusions, and cracks within the welds to ensure that welding quality meets design requirements. For dimensional deviation detection, measuring tools are used to accurately measure the length, width, thickness, and hole diameter of steel components, as well as the verticality, levelness, and spacing of installed steel components to ensure accurate component dimensions and correct installation position. High-strength bolt connections are also a key focus of inspection. Checking the bolt pre-tension or torque coefficient meets standards ensures the tightness and uniformity of the connection. Steel structure installation quality inspection methods are a key means of ensuring project quality. Substandard installation, such as component deformation and loose connections, can cause local instability or even total collapse under load, endangering personnel safety. Over long-term use, poor installation can accelerate damage to steel structures due to stress concentration and fatigue, shortening the building's service life.

[0003] At present, traditional steel structure installation quality inspection methods often ignore details such as cutting edge roughness and splicing misalignment. The detailed inspection is not comprehensive, and the screening standards for component dimensional deviation and material quality are not strict enough. In addition, during the installation process, it is difficult to timely discover hidden connection problems, such as insufficient pre-tension of high-strength bolts, and residual stress accumulation caused by multiple welding or failure to preheat. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides an intelligent detection system and detection method for detecting the installation quality of steel structures, which have the advantages of high comprehensive detection accuracy and good intelligent management installation quality. It solves the problems of incomplete detailed detection and insufficiently strict screening standards in traditional steel structure installation quality detection methods.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent detection system for detecting the installation quality of steel structures, comprising a multi-dimensional acquisition module and an intelligent analysis module; The multi-dimensional acquisition module is composed of a structure data unit and an installation data unit. The structure data unit is connected to a laser scanner, a high-resolution camera and a database via a network to collect a structure data set. The structure data set includes the detection data of all components. The installation data unit is connected to a strain sensor, a laser scanner, a bending strength tester, a Vickers hardness tester and an ultrasonic flaw detector via a network to collect an installation data set. The installation data set includes the detection data of all connections. The intelligent analysis module consists of a size detection unit, a deviation detection unit, a strain analysis unit and a quality assessment unit. The size detection unit analyzes the size deviation of each component based on the structural data set. , the deviation detection unit analyzes the material quality of each component based on the structural data set and generates a deviation index The strain analysis unit analyzes the stress distribution state of the steel structure according to the installation data set and generates a stress index The quality assessment unit analyzes the installation quality of each connection based on the installation data set and generates a defect index The quality assessment unit is set with a fixed value size threshold , Deviation Threshold , stress threshold and defect threshold , which is used to evaluate the degree of dimensional deviation, material quality, stress distribution state of steel structure, and installation quality of each connection of each component, and output corresponding management suggestions.

[0006] Preferably, the structural data set includes point cloud data, chromaticity, deflection, coating thickness, cross-sectional roughness and number of defects of each component, wherein the point cloud data includes maximum length, maximum width, maximum height and volume.

[0007] Preferably, the installation data set includes stress values, weld reinforcement, weld strength, weld hardness and defect counts for each connection, wherein the installation methods of the connections include welding methods and fastener connection methods.

[0008] Preferably, the size deviation The calculation process is as follows: According to the structured data set, extract the The detection data of each component and the The maximum length of a component is marked as , will The maximum width of the component is marked as , will The maximum height of the component is marked as , will The volume of the component is marked as ; Connect to the database through the network to obtain the BIM model of the steel structure, and then insert the first The standard length of each component is marked , will The standard width of the components is marked as , will The standard height of each component is marked as , will The standard volume of each component is marked as ; In the formula, Indicates the absolute difference between the maximum length and the standard length. Indicates the absolute difference between the maximum width and the standard width. Indicates the absolute difference between the maximum height and the standard height. Indicates the absolute difference between the volume and the standard volume, Indicates the Dimensional deviation of each component.

[0009] Preferably, the deviation index The calculation process is as follows: According to the structured data set, extract the The detection data of each component and the The chromaticity of the components is marked as , will The deflection of each component is marked as , will The coating thickness of each component is marked as , will The cross-sectional roughness of the components is marked as , will The number of defects in components is marked as ; In the steel structure BIM model, The standard value of the chromaticity of each component is marked as , will The standard value of the deflection of each component is marked as , will The standard value of the coating thickness of each component is marked as , will The standard value of the component cross-section roughness is marked as ; In the formula, represents the weight for size deviation, Represents the weight of the absolute difference between chromaticity and standard value, Represents the weight for the absolute difference between the deflection and the standard value, Represents the weight of the absolute difference between the coating thickness and the standard value, Represents the weight of the absolute difference between the cross-section roughness and the standard value, represents the weight for the number of defects, 、 、 、 、 and are constants, and , Indicates that 、 、 、 、 and Weight, calculate the Deviation index of components .

[0010] Preferably, the stress index The calculation process is as follows: Based on the installation data set, the stress value at each connection is marked as , to Indicates the first to The stress value at each connection; In the formula, represents the average stress value of all connections, Indicates the The stress value at the connection, , Indicates that the stress index of the steel structure is calculated according to the standard deviation formula .

[0011] Preferably, the defect index The calculation process is as follows: According to the installation data set, extract the The monitoring data of each connection and The weld reinforcement at each connection is marked as , will The weld strength at each connection is marked as , will The weld hardness at each connection is marked as , will The number of defects at each connection is marked as ; In the formula, Indicates the standard value used to measure the weld reinforcement. Indicates the weight of the ratio of the weld excess to the standard value. Indicates the standard value used to measure the strength of the weld. Indicates the weight of the ratio of weld strength to standard value, Indicates the standard value used to measure the hardness of welds. Indicates the weight of the ratio of weld hardness to standard value, represents the weight for the number of defects, 、 、 and are constants, and , Indicates that 、 、 and Weight, calculate the Defect index of the connection .

[0012] Preferably, the dimensional deviation of the individual components Exceeding size threshold When , it means that there is a serious deviation in the size of a single component, which does not meet the installation conditions and the component should be replaced in time. The deviation index of the single component Deviation threshold exceeded When it is, it means that the material quality of a single component is poor and does not meet the installation conditions. The component should be replaced in time.

[0013] Preferably, the stress index Exceeding stress threshold When the stress distribution of the steel structure is abnormal, each installation step should be rechecked. The defect index of the single connection Exceeding defect threshold When , it indicates that the installation quality of a single connection is poor and the weld should be repaired or the fasteners should be replaced.

[0014] An intelligent detection method for detecting the installation quality of a steel structure comprises the following steps: Step 1: Connect the laser scanner, high-resolution camera, database, strain sensor, laser scanner, bending strength tester, Vickers hardness tester, and ultrasonic flaw detector through the network to obtain the inspection data of all components and all joints, and classify them into structural data sets and installation data sets; Step 2: Analyze the dimensional deviation of each component based on the structural data set , then analyze the material quality of each component and generate a deviation index ; Step 3: Based on the installation data set, analyze the stress distribution state of the steel structure and the installation quality of each connection, and generate a stress index and defect index ; Step 4: Set a fixed size threshold , Deviation Threshold , stress threshold and defect threshold , which is used to evaluate the degree of dimensional deviation, material quality, stress distribution state of steel structure, and installation quality of each connection of each component, and output corresponding management suggestions.

[0015] Compared with the prior art, the present invention provides an intelligent detection system and detection method for detecting the installation quality of steel structures, which has the following beneficial effects: 1. The present invention connects the laser scanner, high-resolution camera, database, strain sensor, laser scanner, bending strength tester, Vickers hardness tester and ultrasonic flaw detector through a multi-dimensional acquisition module network to obtain the test data of all components and all joints, and classify them into structural data sets and installation data sets. The intelligent analysis module analyzes the dimensional deviation of each component based on the structural data sets. , then analyze the material quality of each component and generate a deviation index , linking BIM models to achieve dynamic comparison of test data and design parameters, ensuring that test results are consistent with design intentions Figure 1 The intelligent analysis module analyzes the stress distribution state of the steel structure and the installation quality of each connection according to the installation data set, and generates a stress index and defect index , discover potential structural safety hazards in advance, accurately locate problem connections, reduce unnecessary overall rework, reduce material waste and labor costs, and have high comprehensive detection accuracy.

[0016] 2. The present invention sets a fixed value size threshold through the intelligent analysis module , Deviation Threshold , stress threshold and defect threshold It is used to evaluate the degree of dimensional deviation, material quality, stress distribution state of steel structure, and installation quality of each connection of each component, and output corresponding management suggestions. It comprehensively detects the installation quality of steel structure through intelligent construction, significantly improves construction efficiency, and ensures the best installation quality through intelligent management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart of the system of the present invention; Figure 2 This is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0018] 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 ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0019] Traditional steel structure installation quality inspection methods often ignore details such as cutting edge roughness and splicing misalignment. Details inspection is not comprehensive, and the screening standards for component dimensional deviation and material quality are not strict enough. In addition, during the installation process, it is difficult to timely discover hidden connection problems, such as insufficient pre-tension of high-strength bolts, and residual stress accumulation caused by multiple welding or lack of preheating. Therefore, an intelligent inspection system and inspection method for inspecting the installation quality of steel structures are provided. Please refer to Figure 1-Figure 2 , an intelligent detection system for detecting the installation quality of steel structures, including a multi-dimensional acquisition module and an intelligent analysis module; The multi-dimensional acquisition module consists of a structural data unit and an installation data unit. The structural data unit collects structural data sets through a network connection with a laser scanner, a high-resolution camera, and a database. The structural data sets include the inspection data of all components. The structural data sets include point cloud data, color, deflection, coating thickness, cross-section roughness, and number of defects of each component. The point cloud data includes maximum length, maximum width, maximum height, and volume. The installation data unit collects installation data sets through network connections to strain sensors, laser scanners, bending strength testers, Vickers hardness testers, and ultrasonic flaw detectors. The installation data sets include inspection data for all joints, including stress values, weld reinforcement, weld strength, weld hardness, and defect counts for each joint. The installation methods of the joints include welding and fastener connections, supporting comprehensive evaluation of both welding and fastener connection methods. The intelligent analysis module consists of a size detection unit, a deviation detection unit, a strain analysis unit and a quality assessment unit. The size detection unit analyzes the size deviation of each component based on the structural data set. , the calculation process is as follows: According to the structured data set, extract the The detection data of each component and the The maximum length of a component is marked as , will The maximum width of the component is marked as , will The maximum height of the component is marked as , will The volume of the component is marked as ; Connect to the database through the network to obtain the BIM model of the steel structure, and then insert the first The standard length of each component is marked , will The standard width of the components is marked as , will The standard height of each component is marked as , will The standard volume of each component is marked as ; In the formula, Indicates the absolute difference between the maximum length and the standard length. Indicates the absolute difference between the maximum width and the standard width. Indicates the absolute difference between the maximum height and the standard height. Indicates the absolute difference between the volume and the standard volume, Indicates the The dimensional deviation of each component is linked to the BIM model to achieve dynamic comparison between the test data and the design parameters, ensuring that the test results are consistent with the design intentions. Figure 1 To; The deviation detection unit analyzes the material quality of each component based on the structural data set and generates a deviation index , the calculation process is as follows: According to the structured data set, extract the The detection data of each component and the The chromaticity of the components is marked as , will The deflection of each component is marked as , will The coating thickness of each component is marked as , will The cross-sectional roughness of the components is marked as , will The number of defects in components is marked as ; In the steel structure BIM model, The standard value of the chromaticity of each component is marked as , will The standard value of the deflection of each component is marked as , will The standard value of the coating thickness of each component is marked as , will The standard value of the component cross-section roughness is marked as ; In the formula, represents the weight for size deviation, Represents the weight of the absolute difference between chromaticity and standard value, Represents the weight for the absolute difference between the deflection and the standard value, Represents the weight of the absolute difference between the coating thickness and the standard value, Represents the weight of the absolute difference between the cross-section roughness and the standard value, represents the weight for the number of defects, 、 、 、 、 and are constants, and , Indicates that 、 、 、 、 and Weight, calculate the Deviation index of components , the weight configuration can be flexibly adjusted according to the actual construction situation to meet different project requirements or industry standards; The strain analysis unit analyzes the stress distribution state of the steel structure based on the installation data set and generates a stress index , the calculation process is as follows: Based on the installation data set, the stress value at each connection is marked as , to Indicates the first to The stress value at each connection; In the formula, represents the average stress value of all connections, Indicates the The stress value at the connection, , Indicates that the stress index of the steel structure is calculated according to the standard deviation formula , discover potential structural safety hazards in advance and avoid engineering accidents caused by stress concentration; The quality assessment unit analyzes the installation quality of each connection based on the installation data set and generates a defect index , the calculation process is as follows: According to the installation data set, extract the The monitoring data of each connection and The weld reinforcement at each connection is marked as , will The weld strength at each connection is marked as , will The weld hardness at each connection is marked as , will The number of defects at each connection is marked as ; In the formula, Indicates the standard value used to measure the weld reinforcement. Indicates the weight of the ratio of the weld excess to the standard value. Indicates the standard value used to measure the strength of the weld. Indicates the weight of the ratio of weld strength to standard value, Indicates the standard value used to measure the hardness of welds. Indicates the weight of the ratio of weld hardness to standard value, represents the weight for the number of defects, 、 、 and are constants, and , Indicates that 、 、 and Weight, calculate the Defect index of the connection , accurately locate problem joints, reduce unnecessary overall rework, and reduce material waste and labor costs; The quality assessment unit sets a fixed size threshold , Deviation Threshold , stress threshold and defect threshold , used to evaluate the dimensional deviation degree, material quality, stress distribution state of steel structure, and installation quality of each connection of each component, and output corresponding management suggestions. It automatically generates evaluation results, significantly shortening the inspection cycle, and is particularly suitable for large or complex steel structure projects; Dimensional deviations of individual components Exceeding size threshold When , it means that there is a serious deviation in the size of a single component, which does not meet the installation conditions and the component should be replaced in time. The deviation index of a single component Deviation threshold exceeded When it is displayed, it means that the material quality of a single component is poor and does not meet the installation conditions. The component should be replaced in time. By identifying problematic components in advance before installation, preventive measures can be taken to reduce uncertainty, thereby improving efficiency, reducing costs and ensuring installation quality. Stress Index Exceeding stress threshold When the stress distribution of the steel structure is abnormal, each installation step should be rechecked. The defect index of a single connection Exceeding defect threshold When it is detected, it means that the installation quality of a single connection is poor, and the weld should be repaired or the fasteners should be replaced. Through intelligent construction, the installation quality of the steel structure is comprehensively tested, which significantly improves the construction efficiency.

[0020] An intelligent detection method for detecting the installation quality of a steel structure comprises the following steps: Step 1: Connect the laser scanner, high-resolution camera, database, strain sensor, laser scanner, bending strength tester, Vickers hardness tester, and ultrasonic flaw detector through the network to obtain the inspection data of all components and all joints, and classify them into structural data sets and installation data sets; Step 2: Analyze the dimensional deviation of each component based on the structural data set , then analyze the material quality of each component and generate a deviation index ; Step 3: Based on the installation data set, analyze the stress distribution state of the steel structure and the installation quality of each connection, and generate a stress index and defect index , comprehensive detection with high accuracy; Step 4: Set a fixed size threshold , Deviation Threshold , stress threshold and defect threshold , used to evaluate the degree of dimensional deviation, material quality, stress distribution state of steel structure, and installation quality of each component, and output corresponding management suggestions for intelligent management of installation quality.

[0021] Example 1: In this experiment, angle steel was selected as the experimental object. After testing, the dimensional deviation of the angle steel was The angle steel has a color value of 10, a deflection value of 0.003m, a coating thickness of 0.1mm, and a cross-sectional roughness value of 0.04μm. The deviation index of the angle steel is 1mm, the color value is 11, the deflection value is 0.004m, the coating thickness is 0.2mm, the cross-sectional roughness value is 0.05μm, and the number of defects is 1. The calculation process is as follows: In the formula, represents the weight for size deviation, Represents the weight of the absolute difference between chromaticity and standard value, Represents the weight for the absolute difference between the deflection and the standard value, Represents the weight of the absolute difference between the coating thickness and the standard value, Represents the weight of the absolute difference between the cross-section roughness and the standard value, represents the weight for the number of defects, 、 、 、 、 and are constants, and ,according to 、 、 、 、 and Weight, calculate the deviation index of the angle steel for , deviation threshold Set to 0.5. It is judged that the material quality of the angle steel is poor and does not meet the installation conditions and should be replaced in time.

[0022] Example 2: In this experiment, a steel structure with five joints was selected as the experimental object. After testing, the stress values ​​of each joint were 120MPa, 130MPa, 125MPa, 115MPa and 135MPa respectively. The stress index of the steel structure is The calculation process is as follows: In the formula, Represents the average stress value of all connections. According to the standard deviation formula, the stress index of the steel structure is calculated Approximately , stress threshold Set to 6, it is judged that the stress index of the steel structure The stress threshold has been exceeded , indicating that the stress distribution of the steel structure is abnormal and each installation step should be rechecked.

[0023] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent detection system for detecting the installation quality of steel structures, characterized by: Including multi-dimensional acquisition module and intelligent analysis module; The multi-dimensional acquisition module is composed of a structure data unit and an installation data unit. The structure data unit is connected to a laser scanner, a high-resolution camera and a database via a network to collect a structure data set. The structure data set includes the detection data of all components. The installation data unit is connected to a strain sensor, a laser scanner, a bending strength tester, a Vickers hardness tester and an ultrasonic flaw detector via a network to collect an installation data set. The installation data set includes the detection data of all connections. The intelligent analysis module consists of a size detection unit, a deviation detection unit, a strain analysis unit and a quality assessment unit. The size detection unit analyzes the size deviation of each component based on the structural data set. , the deviation detection unit analyzes the material quality of each component based on the structural data set and generates a deviation index The strain analysis unit analyzes the stress distribution state of the steel structure according to the installation data set and generates a stress index The quality assessment unit analyzes the installation quality of each connection according to the installation data set and generates a defect index The quality assessment unit is set with a fixed value size threshold , Deviation Threshold , stress threshold and defect threshold , which is used to evaluate the degree of dimensional deviation, material quality, stress distribution state of steel structure, and installation quality of each connection of each component, and output corresponding management suggestions.

2. The intelligent detection system for detecting the installation quality of steel structures according to claim 1, characterized in that: The structural data set includes point cloud data, color, deflection, coating thickness, cross-section roughness, and defect quantity of each component, wherein the point cloud data includes maximum length, maximum width, maximum height, and volume.

3. The intelligent detection system for detecting the installation quality of steel structures according to claim 2, characterized in that: The installation data set includes stress values, weld reinforcement, weld strength, weld hardness, and defect counts at each connection, wherein the installation methods of the connection include welding and fastener connection.

4. The intelligent detection system for detecting the installation quality of steel structures according to claim 3, characterized in that: The dimensional deviation The calculation process is as follows: According to the structured data set, extract the The detection data of each component and the The maximum length of a component is marked as , will The maximum width of the component is marked as , will The maximum height of the component is marked as , will The volume of the component is marked as ; Connect to the database through the network to obtain the BIM model of the steel structure, and then insert the first The standard length of each component is marked , will The standard width of the components is marked as , will The standard height of each component is marked as , will The standard volume of each component is marked as ; In the formula, Indicates the absolute difference between the maximum length and the standard length. Indicates the absolute difference between the maximum width and the standard width. Indicates the absolute difference between the maximum height and the standard height. Indicates the absolute difference between the volume and the standard volume, Indicates the Dimensional deviation of each component.

5. The intelligent detection system for detecting the installation quality of steel structures according to claim 4, characterized in that: The deviation index The calculation process is as follows: According to the structured data set, extract the The detection data of each component and the The chromaticity of the components is marked as , will The deflection of each component is marked as , will The coating thickness of each component is marked as , will The cross-sectional roughness of the components is marked as , will The number of defects in components is marked as ; In the steel structure BIM model, The standard value of the chromaticity of each component is marked as , will The standard value of the deflection of each component is marked as , will The standard value of the coating thickness of each component is marked as , will The standard value of the component cross-section roughness is marked as ; In the formula, represents the weight for size deviation, Represents the weight of the absolute difference between chromaticity and standard value, Represents the weight for the absolute difference between the deflection and the standard value, Represents the weight of the absolute difference between the coating thickness and the standard value, Represents the weight of the absolute difference between the cross-section roughness and the standard value, represents the weight for the number of defects, 、 、 、 、 and are constants, and , Indicates that 、 、 、 、 and Weight, calculate the Deviation index of components .

6. The intelligent detection system for detecting the installation quality of steel structures according to claim 5, characterized in that: The stress index The calculation process is as follows: Based on the installation data set, the stress value at each connection is marked as , to Indicates the first to The stress value at each connection; In the formula, represents the average stress value of all connections, Indicates the The stress value at each connection, , Indicates that the stress index of the steel structure is calculated according to the standard deviation formula .

7. The intelligent detection system for detecting the installation quality of steel structures according to claim 6, characterized in that: The defect index The calculation process is as follows: According to the installation data set, extract the The monitoring data of each connection is The weld reinforcement at each connection is marked as , will The weld strength at each connection is marked as , will The weld hardness at each connection is marked as , will The number of defects at each connection is marked as ; In the formula, Indicates the standard value used to measure the weld reinforcement. Indicates the weight of the ratio of the weld excess to the standard value. Indicates the standard value used to measure the strength of the weld. Indicates the weight of the ratio of weld strength to standard value, Indicates the standard value used to measure the hardness of welds. Indicates the weight of the ratio of weld hardness to standard value, represents the weight for the number of defects, 、 、 and are constants, and , Indicates that 、 、 and Weight, calculate the Defect index of the connection .

8. The intelligent detection system for detecting the installation quality of steel structures according to claim 7, characterized in that: Dimensional deviations of the individual components Exceeding size threshold When , it means that there is a serious deviation in the size of a single component, which does not meet the installation conditions and the component should be replaced in time. The deviation index of the single component Deviation threshold exceeded When it is, it means that the material quality of a single component is poor and does not meet the installation conditions. The component should be replaced in time.

9. The intelligent detection system for detecting the installation quality of steel structures according to claim 8, characterized in that: The stress index Exceeding stress threshold When the stress distribution of the steel structure is abnormal, each installation step should be rechecked. The defect index of the single connection Exceeding defect threshold When , it indicates that the installation quality of a single connection is poor and the weld should be repaired or the fasteners should be replaced.

10. An intelligent detection method for detecting the installation quality of a steel structure, applied to an intelligent detection system for detecting the installation quality of a steel structure according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Connect the laser scanner, high-resolution camera, database, strain sensor, laser scanner, bending strength tester, Vickers hardness tester, and ultrasonic flaw detector through the network to obtain the inspection data of all components and all joints, and classify them into structural data sets and installation data sets; Step 2: Analyze the dimensional deviation of each component based on the structural data set , then analyze the material quality of each component and generate a deviation index ; Step 3: Based on the installation data set, analyze the stress distribution state of the steel structure and the installation quality of each connection, and generate a stress index and defect index ; Step 4: Set a fixed size threshold , Deviation Threshold , stress threshold and defect threshold , which is used to evaluate the degree of dimensional deviation, material quality, stress distribution state of steel structure, and installation quality of each connection of each component, and output corresponding management suggestions.

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