Installation project quality control method and device and storage medium

Abstract

The invention discloses an installation project quality control method and device and a storage medium, and relates to the technical field of installation projects. The installation project quality control method comprises the following steps: acquiring field point cloud data by using three-dimensional laser scanning equipment, and generating a field real scene model; performing fusion analysis on the scene real scene model and the BIM design model to generate deviation data between the scene real scene model and the BIM design model; and according to deviation data between the on-site real scene model and the BIM design model, generating a project quality rectification sheet, and guiding constructors to rectify the quality of the installation project. According to the installation project quality control method, the limitation of the traditional technology is overcome, and the construction quality management efficiency and precision are remarkably improved.

Description

Technical Field

[0001] The present application relates to the technical field of installation engineering, and in particular to an installation engineering quality control method, equipment and storage medium. Background Art

[0002] In electromechanical installation projects, construction quality control of complex pipeline layout and equipment installation is a key link to ensure the safety and reliability of the project. Existing quality control methods mainly include: traditional manual measurement methods, single-point scanning methods using laser radar, and digital construction management methods based on BIM models. However, the above methods have the disadvantages of high dependence on manual labor, lack of real-time performance, and high difficulty in data integration and analysis, resulting in the inability of the efficiency and accuracy of installation project quality control to meet the needs of complex electromechanical installation projects. Summary of the invention

[0003] The purpose of this application is to provide an installation project quality control method, equipment and storage medium to solve the problem that the efficiency and accuracy of installation project quality control cannot meet the needs of complex electromechanical installation projects.

[0004] The technical solution adopted by this application to solve its technical problem is:

[0005] In a first aspect, a method for controlling the quality of an installation project is provided, comprising:

[0006] S1. Collect on-site point cloud data using 3D laser scanning equipment to generate a real-scene model of the site;

[0007] S2. Fusion analysis of the on-site real scene model and the BIM design model to generate deviation data between the on-site real scene model and the BIM design model;

[0008] S3. Generate a project quality rectification sheet based on the deviation data between the on-site real-scene model and the BIM design model to guide construction personnel to rectify the quality of the installation project.

[0009] Furthermore, the method for generating the on-site reality model includes:

[0010] The 3D laser scanning device is moved on-site to collect on-site point cloud data. The on-site point cloud data is solved using the built-in SLAM algorithm of the 3D laser scanning device and uploaded to the data processing platform, where a real-life model of the scene is generated.

[0011] Furthermore, in step S2, an ICP algorithm is used to perform fusion analysis between the on-site real scene model and the BIM design model.

[0012] Furthermore, in step S2, the deviation data is color-coded to display the size deviation ranges of different regions.

[0013] Furthermore, in step S3, a rectification log is generated for the rectification process.

[0014] Furthermore, during the final acceptance phase, 3D laser scanning equipment is used to scan the entire scene, generate an on-site completion model, and conduct a final check with the BIM design model to ensure that the construction meets the design requirements.

[0015] Furthermore, the on-site real-life model, deviation data and on-site completion model are archived to build a project quality database.

[0016] In a second aspect, a device is provided, comprising:

[0017] A site real scene model generation unit, used to collect site point cloud data using a three-dimensional laser scanning device and generate a site real scene model;

[0018] A deviation data generating unit is used to integrate and analyze the on-site real scene model and the BIM design model, and to generate deviation data between the on-site real scene model and the BIM design model;

[0019] The installation project quality rectification unit is used to generate a project quality rectification sheet based on the deviation data between the on-site real-scene model and the BIM design model, and to guide construction personnel to rectify the quality of the installation project.

[0020] In a third aspect, a device is provided, including a memory and a processor;

[0021] The memory stores instructions executable by the processor;

[0022] When the processor is configured to execute the instructions, the device implements the installation project quality control method provided in the first aspect.

[0023] In a fourth aspect, a storage medium is provided, comprising computer instructions, which, when executed on a computer, enable the computer to execute the installation project quality control method provided in the first aspect.

[0024] Beneficial effects of this application:

[0025] The installation project quality control method provided in the embodiment of the present application utilizes a three-dimensional laser scanning device to collect point cloud data and generate an on-site real-scene model. By efficiently integrating and analyzing the on-site real-scene model with the BIM design model, deviation data between the on-site real-scene model and the BIM design model is generated. The deviation data is used to generate a project quality rectification sheet to guide construction personnel to rectify the quality of the installation project. The method overcomes the limitations of traditional technologies and significantly improves the efficiency and accuracy of construction quality management. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 is a flow chart of the installation engineering quality control method provided in an embodiment of the present application;

[0028] Figure 2 It is a schematic diagram of the composition of the device provided in the embodiment of the present application;

[0029] Figure 3 It is a schematic diagram of the hardware structure of the device provided in the embodiment of the present application.

[0030] Reference numerals:

[0031] 100-device;

[0032] 101-on-site real scene model generation unit;

[0033] 102-deviation data generating unit;

[0034] 103-Installation project quality rectification unit;

[0035] 200-Equipment;

[0036] 201- memory;

[0037] 202 - processor;

[0038] 203-communication interface;

[0039] 204-bus. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. In the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0041] In the description of this application, the terms "upper", "lower", "left", "right", "front", "back", "inside", "outside" and the like indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on this application. Unless otherwise specified, the above-mentioned directional descriptions can be flexibly set in the process of actual application under the condition that the relative positional relationship shown in the accompanying drawings is satisfied.

[0042] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0043] In electromechanical installation projects, construction quality control of complex pipeline layout and equipment installation is a key link to ensure project safety and reliability. Existing quality control methods mainly include: traditional manual measurement methods, single-point scanning methods using laser radar, and digital construction management methods based on BIM models.

[0044] Traditional manual measurement method: This method relies on manual operation and uses equipment such as total stations, rangefinders or laser levels to measure and check construction quality. Its working principle is: use optical instruments to measure the spatial position of the construction point, compare the measured data with the design drawings, and determine the installation deviation.

[0045] This method has the following disadvantages: 1. Manual measurement requires point-by-point operation, which is time-consuming and labor-intensive, and its efficiency is seriously insufficient, especially in large-scale electromechanical installation projects; 2. The operator's experience and technical level will directly affect the measurement results, making it difficult to uniformly control the accuracy; 3. The data from manual measurement needs to be sorted out later, and lacks intuitive global quality feedback.

[0046] Single-point scanning method using LiDAR: This method measures the surface position of an object through laser beam reflection and generates point cloud data for subsequent analysis. Its working principle is: the LiDAR device captures the spatial coordinate information of the target point by emitting a laser beam, generates a point cloud model and performs deviation analysis with the design data.

[0047] This method has the following disadvantages: 1. Single-point laser scanning usually requires multiple scans of complex construction scenes and manual stitching of point cloud models, which is inefficient and difficult to avoid stitching errors; 2. Traditional lidar is mostly used in outdoor environments. In complex indoor pipeline construction, it is difficult to achieve efficient data collection due to blocked vision and insufficient equipment flexibility; 3. After scanning, a lot of time is required for data solution and post-processing, making it difficult to achieve real-time quality feedback during the construction process.

[0048] Digital construction management method based on BIM model: This method is a method of managing the construction process through digital 3D models, which combines design data and construction information to control the progress and quality of the project. Its working principle is to check the construction quality and generate deviation reports by comparing the BIM model with the data recorded on the construction site.

[0049] This method has the following disadvantages: 1. The BIM model is only used as a design tool and relies on external data from manual measurement or lidar scanning to update the construction status, resulting in insufficient data sources; 2. The matching accuracy of traditional BIM and on-site construction data is limited, especially in complex construction scenarios with millimeter-level accuracy requirements, it is difficult to meet high quality requirements.

[0050] Therefore, the existing quality control methods have the disadvantages of high dependence on manual labor, lack of real-time performance, and high difficulty in data integration and analysis, resulting in the efficiency and accuracy of installation project quality control being unable to meet the needs of complex electromechanical installation projects.

[0051] Based on this, see Figure 1 , the embodiment of the present application provides a method for controlling the quality of an installation project, comprising:

[0052] S1. Use 3D laser scanning equipment to collect on-site point cloud data and generate a real-scene model.

[0053] Exemplarily, a 3D laser scanning device is moved on-site to collect on-site point cloud data, and the on-site point cloud data is solved using the built-in SLAM algorithm of the 3D laser scanning device and uploaded to a data processing platform, where a real-life model of the scene is generated.

[0054] 3D laser scanning equipment can realize efficient collection of on-site point cloud data and 360° panoramic image acquisition, and supports real-time scanning feedback, reducing the risk of data omission and avoiding repeated scanning in the later stage, which greatly improves the detection speed of on-site construction, and is especially suitable for construction quality control in large-scale and complex scenes. For example, a 3D laser scanning device is equipped with two 32-line laser radar sensors, SLAM algorithm support and four high-definition cameras, which can collect 2.56 million point cloud data per second, covering a range of 70 meters, and can complete 6,000-10,000 square meters of on-site scanning per hour.

[0055] S2. Integrate and analyze the on-site real-scene model and the BIM design model to generate deviation data between the on-site real-scene model and the BIM design model.

[0056] Exemplarily, the ICP algorithm is used to perform fusion analysis between the on-site real-scene model and the BIM design model, and the deviation data is color-coded to display the size deviation range of different areas.

[0057] The ICP algorithm can achieve millimeter-level precision alignment between the on-site real-life model and the BIM design model, improving the accuracy of fusion analysis and the reliability of results. Deviation data supports detailed measurement of any component and can output standard analysis reports for reference in locating and adjusting construction quality issues.

[0058] S3. Generate a project quality rectification sheet based on the deviation data between the on-site real-life model and the BIM design model to guide construction personnel to rectify the quality of the installation project. In particular, a rectification log is formed for the rectification process. Deviation data can be used to identify construction deviations and omissions in real time, and provide rectification suggestions to the construction management team in a reasonable and well-founded manner to prevent the installation subcontracting teams from shirking responsibility during the rectification process. The rectification process also supports dynamic adjustment of construction quality, especially in complex scenarios, to provide optimization references for the layout adjustment of mechanical and electrical pipelines. The quality rectification process can be tracked and closed-loop managed through the construction log record and management platform.

[0059] During the completion acceptance phase, 3D laser scanning equipment is used to scan the entire scene, generate an on-site completion model, and conduct a final check with the BIM design model to ensure that the construction meets the design requirements. The on-site real-life model, deviation data, and on-site completion model are archived to build a project quality database, realize data management of the entire life cycle of the installation project, and provide reliable data support for subsequent operation and maintenance and asset management.

[0060] The installation engineering quality control method provided in the embodiment of the present application has the following advantages:

[0061] 1. Improved efficiency: Using 3D laser scanning equipment to collect point cloud data and generate on-site real-scene models can ensure fast and accurate point cloud data collection on site. Through real-time scanning feedback, the risk of data omission is reduced, repeated scanning in the later stage is avoided, and the construction progress is greatly improved.

[0062] 2. Improved accuracy: Through the fusion analysis of the on-site real-scene model with millimeter-level accuracy and the BIM design model, construction deviations can be discovered quickly and accurately, and deviation data between the on-site real-scene model and the BIM design model can be generated. The analysis results are highly reliable; compared with traditional manual measurement or single-point lidar scanning, the accuracy has been significantly improved.

[0063] 3. Enhanced real-time performance: The real-time scanning and data solving functions supported by the built-in SLAM algorithm enable rapid detection and feedback of deviations at the construction site. Compared with traditional single-point laser radar scanning, there is no need for post-stitching and delay analysis, and the real-time performance is significantly enhanced. Construction personnel can adjust the construction plan in time according to the real-time feedback results to avoid the accumulation of deviation problems to the acceptance stage, thereby improving the dynamic and timeliness of construction quality management.

[0064] 4. Strong adaptability to complex scenes: The 360° panoramic image acquisition of the 3D laser scanning device is combined with a powerful SLAM algorithm, enabling it to maintain efficient data acquisition capabilities in complex indoor pipeline layouts and occlusion scenes. Compared with the disadvantage of traditional laser radars that are easily affected by line of sight occlusion in complex scenes, this invention significantly improves the applicability of complex scenes.

[0065] 5. Full life cycle data management support: This application integrates point cloud data, BIM models and design drawings throughout the construction, acceptance and operation and maintenance stages to provide full life cycle data support. This not only improves the efficiency of completion acceptance, but also provides a detailed digital basis for subsequent engineering changes, asset management and maintenance. The automation and integration of data management further reduces manual intervention and improves the standardization and consistency of construction quality management.

[0066] 6. Reduce costs and resource consumption: Real-time detection and deviation feedback reduce the incidence of rework and construction errors, thereby saving manpower, materials and time costs. Efficient scanning and data processing methods reduce dependence on traditional measurement equipment and manual technology, and optimize resource allocation.

[0067] The embodiment of the present application can divide the functional modules of the device and the server according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0068] In the case of dividing each functional module into corresponding functional modules, Figure 2 A possible schematic diagram of the composition of the equipment involved in the above embodiment is shown. Figure 2 The device 100 may include a site reality model generating unit 101, a deviation data generating unit 102 and an installation engineering quality rectification unit 103.

[0069] Among them, the on-site real scene model generation unit 101 is used to collect on-site point cloud data using a three-dimensional laser scanning device and generate an on-site real scene model. The deviation data generation unit 102 is used to integrate and analyze the on-site real scene model with the BIM design model and generate deviation data between the on-site real scene model and the BIM design model. The installation project quality rectification unit 103 is used to generate a project quality rectification sheet based on the deviation data between the on-site real scene model and the BIM design model, and guide the construction personnel to rectify the quality of the installation project.

[0070] Figure 2 The units in the may also be referred to as modules, for example, the on-site reality model generation unit may be referred to as the on-site reality model generation module. Figure 2 If each unit in the system is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0071] See also Figure 3 The embodiment of the present application also provides a hardware structure of a device, the device 200, includes a memory 201 and a processor 202; optionally, it also includes a communication interface 203 connected to the processor 202. The memory 201, the processor 202 and the communication interface 203 are connected via a bus 204.

[0072] The memory 201 may be a read-only memory or other types of static storage devices that can store static information and instructions, a random access memory or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory, a read-only optical disk or other optical disk storage, an optical disk storage, a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, and the embodiments of the present application do not impose any limitations on this.

[0073] The processor 202 may be a central processing unit, a general-purpose processor network processor, a digital signal processor, a microprocessor, a microcontroller, a programmable logic device, or any combination thereof. The processor 202 may also be any other device having a processing function, such as a circuit, a device, or a software module. The processor 202 may also include multiple CPUs, and the processor 202 may be a single-core processor or a multi-core processor. The processor 202 here may refer to one or more devices, circuits, or processing cores for processing data.

[0074] The memory 201 may exist independently or may be integrated with the processor 202. The memory 201 stores computer program codes, and the processor 202 is used to execute the computer program codes stored in the memory 201, thereby realizing the installation engineering quality control method provided in the embodiment of the present application.

[0075] The communication interface 203 may be used to communicate with other devices or a communication network, and the communication network may be Ethernet, a wireless access network, a wireless local area network, etc. The communication interface 203 may be a module, a circuit, a transceiver, or any device capable of implementing communication.

[0076] The bus 204 may be a peripheral component interconnection standard bus or an extended industry standard structure bus. The bus 204 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The fact that only one line is used in the diagram does not mean that there is only one bus or only one type of bus.

[0077] The present application also provides a storage medium, including computer instructions, which, when executed on a computer, enable the computer to execute the installation engineering quality control method provided in the above embodiment. The storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media integrated therein. For example, the available medium may be a magnetic medium, an optical medium, or a semiconductor medium.

[0078] The above are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed in the present application should be covered within the protection scope of the present application.

Claims

1. A method for controlling the quality of an installation project, characterized in that: include: S1. Collect on-site point cloud data using 3D laser scanning equipment to generate a real-scene model of the site; S2. Fusion analysis of the on-site real scene model and the BIM design model to generate deviation data between the on-site real scene model and the BIM design model; S3. Generate a project quality rectification sheet based on the deviation data between the on-site real-scene model and the BIM design model to guide construction personnel to rectify the quality of the installation project.

2. The installation engineering quality control method according to claim 1, characterized in that: The method for generating a scene reality model includes: The 3D laser scanning device is moved on-site to collect on-site point cloud data. The on-site point cloud data is solved using the built-in SLAM algorithm of the 3D laser scanning device and uploaded to the data processing platform, where a real-life model of the scene is generated.

3. The installation engineering quality control method according to claim 1, characterized in that: In step S2, the ICP algorithm is used to perform fusion analysis between the on-site real scene model and the BIM design model.

4. The installation engineering quality control method according to claim 1, characterized in that: In step S2, the deviation data is color-coded to display the size deviation range of different areas.

5. The installation engineering quality control method according to claim 1, characterized in that: In step S3, a rectification log is generated for the rectification process.

6. The installation engineering quality control method according to claim 1, characterized in that: During the completion acceptance stage, 3D laser scanning equipment is used to scan the entire scene, generate an on-site completion model, and conduct a final check with the BIM design model to ensure that the construction meets the design requirements.

7. The installation engineering quality control method according to claim 6, characterized in that: Archive the on-site real-life model, deviation data and on-site completion model to build a project quality database.

8. A device, characterized in that: include: A site real scene model generation unit, used to collect site point cloud data using a three-dimensional laser scanning device and generate a site real scene model; A deviation data generating unit is used to integrate and analyze the on-site real scene model and the BIM design model, and to generate deviation data between the on-site real scene model and the BIM design model; The installation project quality rectification unit is used to generate a project quality rectification sheet based on the deviation data between the on-site real-scene model and the BIM design model, and to guide construction personnel to rectify the quality of the installation project.

9. A device, characterized in that: including memory and processor; The memory stores instructions executable by the processor; When the processor is configured to execute the instructions, the device implements the method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The method comprises computer instructions, which, when executed on a computer, cause the computer to execute the method according to any one of claims 1 to 7.

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