CN112508343A - Implementation method of visual construction management and control system for construction quality management - Google Patents
Implementation method of visual construction management and control system for construction quality management Download PDFInfo
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Abstract
The application discloses a method for realizing a visual construction management and control system for construction quality management, wherein the visual construction management and control system comprises a service presentation layer, and the service presentation layer comprises an image acquisition and storage system; the implementation method of the visual construction management and control system comprises an implementation method of an image acquisition and storage system, and the implementation method of the image acquisition and storage system comprises the following steps: the field worker logs in the mobile terminal APP, the process point videos of the engineering project are shot through the mobile terminal APP and uploaded, and the quality inspector judges whether the process point is qualified or not through checking the uploaded process point videos. Has the following advantages: and automatically and comprehensively planning the construction plan according to the region, time and construction period, and automatically issuing a quality report and a rectification measure in real time. And a long-term effective video storage space is provided, and construction time and place are automatically generated. By storing video, photos and other image data in construction, the reasons of accident generation can be judged intuitively and efficiently, and people in charge can be effectively traced in time.
Description
Technical Field
The invention discloses a method for realizing a visual construction management and control system for construction quality management, and belongs to the technical field of constructional engineering information management.
Background
The quality safety of the building engineering involves the benefits of the majority of people, is limited by the technical level and the management level, and cannot meet the requirements of a large amount of infrastructure on advanced management talents, so that the difference of the construction quality of the current building is large, and the problem of the engineering quality frequently occurs. The dependence of the engineering quality on the management level of a manager is high, only paper character data can be stored in the current construction process, the reasons (problems of design, materials, construction, process and the like) of the problem cannot be visually judged, and the problem cannot be timely and effectively solved. The responsibility tracing can not be effectively carried out on the quality problem or the safety accident problem caused by the non-standard field construction management, so that the problem in the later period can not be directly found out.
The invention patent number 201110416295.7 and the patent name 'key process identification and monitoring method for large building engineering quality' disclose a key process identification and monitoring method for large building engineering quality. The method comprises the steps of firstly establishing a group parameter relation position model of an engineering quality supervision object and a corresponding adjacency relation matrix thereof according to engineering construction process and construction quality acceptance specifications on the basis of determining a large-scale construction engineering project quality supervision object, and secondly effectively identifying key processes influencing the engineering quality according to an analysis result of the engineering quality group parameter adjacency relation matrix. On the basis, the overall average state sigma, the maximum upper deviation delta U, the maximum lower deviation delta D and the process control state mu of the process quality can be accurately obtained through field acquisition and actual measurement analysis of corresponding parameter values of the key process.
Disclosure of Invention
The invention aims to solve the technical problem of providing a visual construction management and control system for construction quality management, which automatically and comprehensively plans a construction plan according to regions, time and construction period, and automatically issues a quality report and a rectification measure in real time. And a long-term effective video storage space is provided, and construction time and place are automatically generated. By storing video, photos and other image data in construction, the reasons of accident generation can be judged intuitively and efficiently, and people in charge can be effectively traced in time.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method for realizing a visual construction management and control system for construction quality management comprises a service presentation layer, wherein the service presentation layer comprises an image acquisition and storage system;
the implementation method of the visual construction management and control system comprises an implementation method of an image acquisition and storage system, and the implementation method of the image acquisition and storage system comprises the following steps:
the field worker logs in the mobile terminal APP, the process point videos of the engineering project are shot through the mobile terminal APP and uploaded, and the quality inspector judges whether the process point is qualified or not through checking the uploaded process point videos.
Further, the implementation method of the image acquisition and storage system further comprises the following steps:
the field workers log in the mobile terminal APP, login account passwords of the field workers are distributed by a background manager according to project and role authorities of the field workers, project and role authorities of the field workers are distributed by the background manager, and different construction teams are responsible for uploading processes of the field workers.
Further, the implementation method of the image acquisition and storage system further comprises the following steps: after logging in the mobile terminal APP, field workers enter a workbench to select a process video check, select engineering projects and select process points.
Further, the implementation method of the image acquisition and storage system further comprises the following steps: and looking up the technical key points and the shooting description of the process point, shooting the video of the process point and transmitting the video to the system in real time to form image information with real-time watermark recording.
Further, the implementation method of the image acquisition and storage system further comprises the following steps: and transmitting the image information to a process quality image recognition system or storing the image information in a cloud on-demand server and forming a playing connection.
Further, the implementation method of the image acquisition and storage system further comprises the following steps: and checking whether the process point is qualified or not, submitting a visual management and control report of the process point, displaying a green light warning on the process point if the process point is qualified, and pushing non-inspection qualified information to a corresponding responsible quality inspector if the process point is unqualified.
Further, the implementation method of the image acquisition and storage system further comprises the following steps: and the quality inspector receives the pushing of the unqualified detection information of the process point of the pattern recognition system, clicks the information of the process point to check the image information, and judges whether the process point is qualified.
Further, the implementation method of the image acquisition and storage system further comprises the following steps: if the process point is qualified, the process point keeps a green light warning and passes the audit.
Further, the implementation method of the image acquisition and storage system further comprises the following steps: if the process point is unqualified, information is pushed to the project responsible manual order checking unqualified information, the process point is changed from green light warning to yellow light warning, the project responsible person changes the process point again, the field worker shoots the image again and submits an image report, the quality inspector judges whether the process point is qualified again, the project responsible person continues to change the process point and submits, and if the process point is qualified, the process point is changed from yellow light warning to green light warning, and the process point passes the checking.
By adopting the technical scheme, compared with the prior art, the invention has the following technical effects:
and automatically and comprehensively planning the construction plan according to the region, time and construction period, and automatically issuing a quality report and a rectification measure in real time. And a long-term effective video storage space is provided, and construction time and place are automatically generated. By storing video, photos and other image data in construction, the reasons of accident generation can be judged intuitively and efficiently, and people in charge can be effectively traced in time.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a construction diagram of a visual management and control system based on image pattern recognition;
FIG. 2 is a functional module of a visual management and control system based on image pattern recognition;
FIG. 3 is a flow chart of an image acquisition storage system;
FIG. 4 is a flow chart of visual quality inspection and feedback modification of process images by a quality inspector;
fig. 5 is a configuration diagram of a visual management and control image shooting transmission system;
FIG. 6 is a process technology document query.
Detailed Description
Embodiment 1, as shown in fig. 1 and fig. 2, a visualized construction management and control system for construction quality management includes a business presentation layer, a business application layer, a service layer, a data layer, and an infrastructure.
The business performance layer comprises a mobile terminal APP, a construction process management and control system, an image acquisition and storage system, an image processing system, an image mode identification system, a construction progress management and control system, an inspection system, a material cost accounting system, an early warning system and a data analysis system.
The business application layer comprises a business list module, a query report module, an API data interface, a business counting module, a business process and a basic network.
The service layer comprises a short message platform, message pushing, GPS positioning, video processing, a data access component, a data exchange component, image shooting and video transmission.
The data layer comprises a system application database, a file storage database and a user management database.
The infrastructure comprises an infrastructure network, a server and a storage system.
As shown in fig. 5, the architecture diagram of the visual management and control image shooting transmission system includes image acquisition and shooting, image post-production such as watermarking, composite preview, sharing and publishing, storage management and transcoding processing, content auditing, accelerated distribution, video playing, and completion of real-time management and control, region management and control, and time management and control.
As shown in fig. 6, the process technical document query includes two major blocks, namely, a construction notice and a process technical document, so that an operator can query relevant construction data, process relevant technical standards, shooting methods and the like through the documents, training is facilitated, all the data can be uploaded through a background, and the operator can view the data on line and also can store and forward the data.
The mobile terminal APP is mobile terminal software based on a mobile phone system, data can be uploaded and downloaded at any time and any place through the APP, before visual management and control of engineering projects are carried out, construction flow processes are configured, the construction flow processes comprise basic information of the construction projects, required process points, shooting requirements of the process points, technical indexes, presentation forms and the like, after process configuration management is finished, qualified pictures and videos are obtained from a construction site through an image obtaining and storing system and are uploaded in real time to guarantee timeliness, image processing is carried out in the uploading process, information such as geographic positions and project names located by a GPS (global positioning system), time nodes and the like is combined with pictures and texts in a watermark form and stored for standby examination, pattern recognition is carried out on the obtained image data in a machine vision processing mode, initial judgment on the quality of the engineering processes is completed through computer learning and implementation of pre-judgment rules, and the judgment result is fed back, so that the real-time and high-efficiency effect is realized. The construction progress is controlled at any time, the construction sequence is automatically judged, the processes beyond expectation are reminded, and the processes which are not carried out according to the construction process sequence are reminded and warned. For 24-hour all-around supervision of a construction site, workers wear a safety helmet with a camera, can check a site inspection video at any time, and supervision of the constructors is achieved. And (4) as the project leader advances the project to upload materials, construction positions and construction areas required by construction at any time, the system automatically carries out cost accounting according to the uploaded data, and the budget is prevented from being exceeded. Whether the process inspection is unqualified or the construction progress is controlled, whether the construction is smoothly judged or the materials exceed the budget, the attention of related responsible persons is reminded in an early warning mode, and the information is transmitted in an information pushing mode. And finally, based on big data, performing data statistics and analysis by digitalizing information, collecting, processing and analyzing various data and combining a service flow and a data flow of construction engineering quality detection, and finally displaying the data in a large-screen mode of LED data.
As shown in fig. 3, an implementation method of a visual construction management and control system for construction quality management includes an implementation method of an image acquisition and storage system, and the implementation method of the image acquisition and storage system includes the following steps:
the field workers log in the mobile terminal APP, login account passwords of the field workers are distributed by a background manager according to project and role authorities of the field workers, the project and role authorities of the field workers are distributed by the background manager, and different construction teams are responsible for uploading processes of the field workers.
After the field worker logs in the mobile terminal APP, the field worker enters the workbench to select the process video for inspection, select engineering projects, select the process point, check the technical key points and the shooting description of the process point, shoot the process point video and transmit the process point video to the system in real time, form image information with a real-time watermark record, transmit the image information to a process quality image recognition system or store the image information in a cloud point-broadcasting server and form a broadcasting connection, check whether the process point is qualified or not, submit a visual management and control report of the process point, if the process point is qualified, display a green light warning on the process point, and if the process point is unqualified, push the unqualified information to a corresponding quality inspector in charge.
As shown in fig. 4, a quality inspector receives the pushed information of the unqualified process point detection of the mode identification system, clicks the information of the process point to check image information, judges whether the process point is qualified, if the process point is qualified, the process point keeps a green light alarm, and passes the audit, if the process point is unqualified, the information is pushed to the unqualified information of the project responsible personnel in the manual order check, the process point is changed from the green light alarm to a yellow light alarm, the project responsible personnel carries out rectification and modification again, the field worker shoots the image and submits an image report again, the quality inspector judges whether the process point is qualified again, if the process point is unqualified, the project responsible personnel carries out rectification and submission, if the process point is qualified, the process point is changed from the yellow.
Selecting and checking the process point, shooting the key points and the shooting description of the process point, shooting by a video, positioning by a GPS in real time, adding watermarks into images, storing the images in a cloud ordering server and forming a playing link, directly transmitting the stored images to a process quality image mode identification system, as shown in figure 4, wherein the visual quality inspection and the feedback of the process image modification by a quality inspector comprises that the quality inspector receives a process inspection notice, enters the process report to check the image information, judges whether the image information is qualified or not, if the image information is unqualified, reassigns the image to a project principal, pushes a message prompt, carries out the modification again, submits the review again after the modification, and so on until the image information is qualified, if the process cannot be modified, the process marks a yellow light, if the process is modified, the process is changed into a green light, if the process is judged to be qualified, similarly pushes the evaluation result to the project principal, and the process, and marked as a green light.
The description of the present invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (9)
1. A method for realizing a visual construction management and control system for construction quality management is characterized by comprising the following steps: the visual construction management and control system comprises a service presentation layer, and the service presentation layer comprises an image acquisition and storage system;
the implementation method of the visual construction management and control system comprises an implementation method of an image acquisition and storage system, and the implementation method of the image acquisition and storage system comprises the following steps:
the field worker logs in the mobile terminal APP, the process point videos of the engineering project are shot through the mobile terminal APP and uploaded, and the quality inspector judges whether the process point is qualified or not through checking the uploaded process point videos.
2. The implementation method of the visual construction management and control system for construction quality management as claimed in claim 1, wherein: the implementation method of the image acquisition and storage system further comprises the following steps:
the field workers log in the mobile terminal APP, login account passwords of the field workers are distributed by a background manager according to project and role authorities of the field workers, project and role authorities of the field workers are distributed by the background manager, and different construction teams are responsible for uploading processes of the field workers.
3. The implementation method of the visual construction management and control system for construction quality management as claimed in claim 1, wherein: the implementation method of the image acquisition and storage system further comprises the following steps: after logging in the mobile terminal APP, field workers enter a workbench to select a process video check, select engineering projects and select process points.
4. The implementation method of the visual construction management and control system for construction quality management as claimed in claim 1, wherein: the implementation method of the image acquisition and storage system further comprises the following steps: and looking up the technical key points and the shooting description of the process point, shooting the video of the process point and transmitting the video to the system in real time to form image information with real-time watermark recording.
5. The implementation method of the visual construction management and control system for construction quality management as claimed in claim 1, wherein: the implementation method of the image acquisition and storage system further comprises the following steps: and transmitting the image information to a process quality image recognition system or storing the image information in a cloud on-demand server and forming a playing connection.
6. The implementation method of the visual construction management and control system for construction quality management as claimed in claim 1, wherein: the implementation method of the image acquisition and storage system further comprises the following steps: and checking whether the process point is qualified or not, submitting a visual management and control report of the process point, displaying a green light warning on the process point if the process point is qualified, and pushing non-inspection qualified information to a corresponding responsible quality inspector if the process point is unqualified.
7. The implementation method of the visual construction management and control system for construction quality management as claimed in claim 1, wherein: the implementation method of the image acquisition and storage system further comprises the following steps: and the quality inspector receives the pushing of the unqualified detection information of the process point of the pattern recognition system, clicks the information of the process point to check the image information, and judges whether the process point is qualified.
8. The implementation method of the visual construction management and control system for construction quality management as claimed in claim 1, wherein: the implementation method of the image acquisition and storage system further comprises the following steps: if the process point is qualified, the process point keeps a green light warning and passes the audit.
9. The implementation method of the visual construction management and control system for construction quality management as claimed in claim 1, wherein: the implementation method of the image acquisition and storage system further comprises the following steps: if the process point is unqualified, information is pushed to the project responsible manual order checking unqualified information, the process point is changed from green light warning to yellow light warning, the project responsible person changes the process point again, the field worker shoots the image again and submits an image report, the quality inspector judges whether the process point is qualified again, the project responsible person continues to change the process point and submits, and if the process point is qualified, the process point is changed from yellow light warning to green light warning, and the process point passes the checking.
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| CN113159730A (en) * | 2021-05-11 | 2021-07-23 | 浙江工正工程管理有限公司 | Project supervision information management method, system, intelligent device and storage medium |
| CN113610487A (en) * | 2021-07-06 | 2021-11-05 | 江苏金小满信息科技有限公司 | Construction process record archiving system and method |
| CN114844884A (en) * | 2022-07-04 | 2022-08-02 | 北京神州光大科技有限公司 | Information processing method and system for IT service construction site |
| CN116644967A (en) * | 2023-07-25 | 2023-08-25 | 江西航空有限公司 | Aircraft maintenance process risk management and control method and device based on photo watermarking technology |
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