Engineering construction project quality management and control system and method thereof

Abstract

The invention discloses an engineering construction project quality management and control system and method. The system comprises a control module; the first acquisition module is connected to the control module; the comparison module is connected to the control module; the selection module is connected to the comparison module; the judgment module is connected to the selection module and the control module; the second acquisition module is connected to the control module; the acceptance module is connected to the control module and the judgment module; the third acquisition module is connected to the control module; and the evaluation module is connected to the control module. According to the invention, the problem of low efficiency of the construction engineering project quality management and control method is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of building construction, and in particular to a quality control system and method for an engineering construction project. Background Art

[0002] Building quality control is an important process to ensure that buildings are safe, reliable and meet design requirements. Here are some specific steps:

[0003] Design review: Carefully review the architectural design plan to ensure its rationality and feasibility;

[0004] Material selection and inspection: Select high-quality materials and conduct strict quality inspection;

[0005] Construction team qualification review: select an experienced and reputable construction team;

[0006] Supervision of the construction process: Arrange special personnel to supervise the construction process in real time and check whether the technology and procedures meet the requirements;

[0007] Acceptance of key nodes: acceptance of important structural parts, hidden projects, etc.;

[0008] Quality inspection and evaluation: Use professional equipment to conduct quality inspection and regularly evaluate the quality of the project;

[0009] Problem rectification and follow-up: timely rectify quality problems found and track the rectification results.

[0010] With the increasing number of domestic construction projects, quality control cannot be ignored. At present, the construction quality control method of the project is generally: the supervisor finds problems on site, records the problems and takes photos and uploads them to the relevant network platform, the construction unit logs in to the network platform or the network platform actively pushes the problems to the construction unit, the construction unit makes rectifications, and uploads the pictures after rectification for confirmation by the supervisor unit, etc. This method requires the presence of supervisors, which consumes manpower; and whether there are quality problems is also manually judged by the supervisors based on experience, resulting in low work efficiency. Summary of the invention

[0011] In order to overcome the defects of the prior art, a system and method for quality control of construction projects are provided to solve the problem of low efficiency of the quality control method of construction projects.

[0012] In order to achieve the above purpose, a construction project quality control system is provided, including:

[0013] Control module;

[0014] A first acquisition module for acquiring original images of different construction areas through aerial photography, satellites and drones, connected to the control module;

[0015] A comparison module for performing similarity comparison between the original images captured by the aerial photography, the satellite and the drone, connected to the control module;

[0016] A selection module for selecting the original image as the selected image when the similarity is greater than a preset threshold and based on the clarity, connected to the comparison module;

[0017] A determination module for determining the engineering quality of the selected image and generating a determination result based on a preset engineering acceptance standard, connected to the selection module and the control module;

[0018] A second acquisition module for acquiring the construction progress information of the construction unit, connected to the control module;

[0019] An acceptance module for determining whether the construction project is qualified based on the construction progress information and the determination result, connected to the control module and the determination module;

[0020] A third acquisition module for acquiring engineering record data of the supervision unit, connected to the control module;

[0021] An evaluation module for outputting a project evaluation result through an engineering project evaluation model based on the engineering record data and the selected image is connected to the control module, and the engineering project evaluation model is:

[0022]

[0023] Among them, A i represents the construction status of the project at time i, S i represents the stability coefficient of the engineering project data at time i, K i represents the engineering project data input at time i, C i represents the state measurement value of the engineering project at time i, and β represents the influence weight of the state measurement value at time i.

[0024] Furthermore, it includes a preprocessing module for preprocessing the original image, and the preprocessing includes image interpolation, sharpening filtering, super-resolution technology, denoising, or image enhancement.

[0025] Furthermore, the preprocessing is any three of image interpolation, sharpening filtering, super-resolution technology, denoising, or image enhancement.

[0026] The present invention provides a method for quality control of an engineering construction project of an engineering construction project quality control system, comprising the following steps:

[0027] The first acquisition module acquires original images of different construction areas through aerial photography, satellites and drones and sends them to the control module;

[0028] The comparison module compares the original images captured by the aerial photography, the satellite and the drone for similarity;

[0029] When the similarity is greater than a preset threshold and based on the clarity, the selection module selects the original image as the selected image;

[0030] Based on the preset engineering acceptance criteria, the determination module performs engineering quality determination on the selected image and generates a determination result and sends it to the control module;

[0031] The second acquisition module acquires the project progress information of the construction unit;

[0032] Based on the engineering progress information and the determination result, the acceptance module determines whether the engineering construction project is qualified and sends it to the control module;

[0033] The third acquisition module acquires the engineering record data of the supervision unit and sends it to the control module;

[0034] Based on the engineering record data, the evaluation module outputs the project evaluation result through the engineering project evaluation model and sends it to the control module.

[0035] The beneficial effect of the present invention is that the quality control method of the engineering construction project of the present invention first uses remote sensing technology to obtain a clear target remote sensing image, and then uses the engineering acceptance standard to determine the engineering quality of the target remote sensing image. The quality control method of the engineering construction project of the present invention can remotely determine the quality of the project without the need for supervisors to go to the site, thereby saving manpower and improving work efficiency. In addition, the quality control method of the engineering construction project of the present invention realizes the automatic determination of the quality of the project by a calculation formula, reduces the influence of human interference factors, and ensures the objectivity of the result of the engineering quality determination. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0037] Figure 1 It is a structural schematic diagram of the engineering construction project quality control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It is also necessary to explain that, for ease of description, only the parts related to the invention are shown in the accompanying drawings.

[0039] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0040] Reference Figure 1 As shown, the present invention provides a quality control system for engineering construction projects, including: a control module 1, a first acquisition module 2, a comparison module 3, a selection module 4, a determination module 5, a second acquisition module 6, an acceptance module 7, a third acquisition module 8, and an evaluation module 9.

[0041] The first acquisition module 2 , the second acquisition module 6 , and the third acquisition module 8 are respectively connected to the control module 1 .

[0042] The first acquisition module 2 is used to acquire original images of different construction areas through aerial photography, satellites and drones.

[0043] The comparison module 3 is used to compare the original images obtained by aerial photography, satellites and drones for similarity. The comparison module 3 is connected to the control module.

[0044] The selection module 4 is used to select the original image as the selected image when the similarity is greater than a preset threshold and based on the clarity. The selection module 4 is connected to the comparison module.

[0045] The determination module 5 is used to determine the engineering quality of the selected image based on the preset engineering acceptance standard and generate a determination result. The determination module 5 is connected to the selection module and the control module.

[0046] The second acquisition module 6 is used to acquire the project progress information of the construction unit.

[0047] The acceptance module 7 is used to determine whether the construction project is qualified based on the project progress information and the determination result. The acceptance module 7 is connected to the control module and the determination module.

[0048] The third acquisition module 8 is used to acquire the engineering record data of the supervision unit.

[0049] The evaluation module 9 is used to output the project evaluation result through the project evaluation model based on the project record data. The evaluation module 9 is connected to the control module.

[0050] Specifically, the project evaluation model is:

[0051]

[0052] Among them, A i represents the construction status of the project at time i, S i represents the stability coefficient of the engineering project data at time i, K i represents the engineering project data input at time i, C i represents the state measurement value of the engineering project at time i, and β represents the influence weight of the state measurement value at time i.

[0053] The engineering construction project quality control system of the present invention comprises a preprocessing module 10 for preprocessing the original image, and the preprocessing comprises image interpolation, sharpening filtering, super-resolution technology, denoising, or image enhancement.

[0054] The preprocessing is any three of image interpolation, sharpening filtering, super-resolution technology, denoising, or image enhancement.

[0055] The present invention provides a method for quality control of an engineering construction project of an engineering construction project quality control system, comprising the following steps:

[0056] S1. The first acquisition module acquires original images of different construction areas through aerial photography, satellites and drones and sends them to the control module.

[0057] The first acquisition module includes aerial cameras, satellites and drones.

[0058] Aerial cameras capture original images of different construction areas.

[0059] Raw satellite images of different construction areas.

[0060] Original images of different construction areas captured by drones.

[0061] The original image obtained by aerial photography is marked as the first remote sensing image, the original image obtained by satellite remote sensing is marked as the second remote sensing image, and the original image obtained by drone remote sensing is marked as the third remote sensing image.

[0062] The preprocessing module preprocesses the first remote sensing image, the second remote sensing image and the third remote sensing image, that is, optimizes the clarity of the first remote sensing image, the second remote sensing image and the third remote sensing image to obtain the first clear image, the second clear image and the third clear image, and processes the first clear image, the second clear image and the third clear image to select the final image, that is, selects the clear remote sensing image.

[0063] Through the above process, the remote sensing image information obtained by different methods is processed intelligently, ensuring the clarity of the remote sensing images collected by the selected different methods and providing data support for subsequent positioning analysis.

[0064] Specifically, the specific process of performing clarity optimization processing on the first remote sensing image, the second remote sensing image, and the third remote sensing image is as follows:

[0065] The first remote sensing image is imported into a processing library, in which image interpolation method, sharpening filter, super-resolution technology, denoising method, contrast enhancement and HDR synthesis method are set to perform image enhancement, three methods are randomly selected from the processing library to process the first remote sensing image to obtain three processed first remote sensing images, and then the clarity of the three processed first remote sensing images is compared, and the processed first remote sensing image with the highest clarity is selected as the first clear image;

[0066] The process of performing clarity optimization processing on the second remote sensing image and the third remote sensing image is the same as the process of processing the first remote sensing image.

[0067] S2. The comparison module compares the original images obtained by aerial photography, satellites and drones for similarity.

[0068] Specifically, the first clear image, the second clear image and the third clear image are processed to select the final image, that is, the specific process of selecting the clear remote sensing image is as follows: the first clear image, the second clear image and the third clear image are compared for similarity.

[0069] S3. When the similarity is greater than a preset threshold and based on the clarity, the selection module selects the original image as the selected image.

[0070] When the similarity between the first clear image, the second clear image and the third clear image is greater than a preset value, the image with the highest definition among the first clear image, the second clear image and the third clear image is extracted as the selected image;

[0071] When the similarity among the first clear image, the second clear image and the third clear image is less than a preset value, the first clear image, the second clear image and the third clear image are selected again.

[0072] S4. Based on the preset project acceptance criteria, the determination module performs a project quality determination on the selected image and generates a determination result and sends it to the control module.

[0073] The determination results include but are not limited to project information, eligibility, specific issues and rectification deadlines.

[0074] S5. The second acquisition module acquires the project progress information of the construction unit.

[0075] In specific implementation, the construction unit can upload the current project progress information to the system via mobile phone or computer. The system determines the construction status based on the content agreed in the contract (such as the time nodes for delivery of each project, etc.) and the project progress information.

[0076] S6. Based on the project progress information and the determination result, the acceptance module determines whether the construction project is qualified and sends it to the control module.

[0077] If the construction status is completed, the project acceptance is carried out and the acceptance result is obtained.

[0078] The qualified rate of completed projects is calculated based on the acceptance results.

[0079] If the qualified rate of the completed projects is greater than the set threshold, the acceptance is qualified; otherwise, the acceptance is unqualified.

[0080] S7. The third acquisition module acquires the engineering record data of the supervision unit and sends it to the control module.

[0081] S8. Based on the engineering record data and the selected image, the evaluation module outputs the project evaluation result through the engineering project evaluation model and sends it to the control module.

[0082] The selected images and recorded data are analyzed to obtain analysis results.

[0083] The analysis results include project conditions, environmental conditions and equipment operation conditions.

[0084] According to the analysis results, the project is evaluated and the evaluation results are output. In specific implementation, the project evaluation model is used to obtain the operation status of the project; the project is evaluated according to the operation status and the project evaluation results are output;

[0085] In this embodiment, the construction status of the engineering project specifically refers to the working status of the coordination between the construction personnel, machinery and equipment, engineering materials and project processes of each project. The above construction status to a certain extent reflects the rationality, safety and scientificity of the construction of each project. The larger the value of the above construction status, the closer the construction situation of this project is to a good construction trend.

[0086] The input project data refers to the input of relevant data during the construction process of each project. Research on the input data can further ensure the accurate analysis of the construction status. The amount of input data and its changing trend will affect the judgment and research of the project construction status.

[0087] The engineering construction project quality control method of the present invention first uses remote sensing technology to obtain a clear target remote sensing image, and then uses the project acceptance standard to determine the project quality of the target remote sensing image. The engineering construction project quality control method of the present invention can remotely determine the quality of the project without the need for supervisors to go to the site, thereby saving manpower and improving work efficiency. In addition, the engineering construction project quality control method of the present invention realizes automatic determination of project quality by calculation, reduces the influence of human interference factors, and ensures the objectivity of the project quality determination result.

[0088] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the present application.

Claims

1. A quality control system for engineering construction projects, characterized in that: include: Control module; A first acquisition module for acquiring original images of different construction areas through aerial photography, satellites and drones, connected to the control module; A comparison module for performing similarity comparison between the original images captured by the aerial photography, the satellite and the drone, connected to the control module; A selection module for selecting the original image as the selected image when the similarity is greater than a preset threshold and based on the clarity, connected to the comparison module; A determination module for determining the engineering quality of the selected image and generating a determination result based on a preset engineering acceptance standard, connected to the selection module and the control module; A second acquisition module for acquiring the construction progress information of the construction unit, connected to the control module; An acceptance module for determining whether the construction project is qualified based on the construction progress information and the determination result, connected to the control module and the determination module; A third acquisition module for acquiring engineering record data of the supervision unit, connected to the control module; An evaluation module for outputting a project evaluation result through an engineering project evaluation model based on the engineering record data is connected to the control module, and the engineering project evaluation model is: Among them, A i represents the construction status of the project at time i, S i represents the stability coefficient of the engineering project data at time i, K i represents the engineering project data input at time i, C i represents the state measurement value of the engineering project at time i, and β represents the influence weight of the state measurement value at time i.

2. The engineering construction project quality control system according to claim 1 is characterized in that: It includes a preprocessing module for preprocessing the original image, wherein the preprocessing includes image interpolation, sharpening filtering, super-resolution technology, denoising, or image enhancement.

3. The engineering construction project quality control system according to claim 2 is characterized in that: The preprocessing is any three of image interpolation, sharpening filtering, super-resolution technology, denoising, or image enhancement.

4. A method for quality control of an engineering construction project according to any one of claims 1 to 3, characterized in that: The following steps are involved: The first acquisition module acquires original images of different construction areas through aerial photography, satellites and drones and sends them to the control module; The comparison module compares the original images captured by the aerial photography, the satellite and the drone for similarity; When the similarity is greater than a preset threshold and based on the clarity, the selection module selects the original image as the selected image; Based on the preset engineering acceptance criteria, the determination module performs engineering quality determination on the selected image and generates a determination result and sends it to the control module; The second acquisition module acquires the project progress information of the construction unit; Based on the engineering progress information and the determination result, the acceptance module determines whether the engineering construction project is qualified and sends it to the control module; The third acquisition module acquires the engineering record data of the supervision unit and sends it to the control module; Based on the engineering record data and the selected image, the evaluation module outputs a project evaluation result through an engineering project evaluation model and sends it to the control module.

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