CN114066206A - Assembly type construction quality supervision control method, device, equipment and storage medium - Google Patents
Assembly type construction quality supervision control method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN114066206A CN114066206A CN202111332204.1A CN202111332204A CN114066206A CN 114066206 A CN114066206 A CN 114066206A CN 202111332204 A CN202111332204 A CN 202111332204A CN 114066206 A CN114066206 A CN 114066206A
- Authority
- CN
- China
- Prior art keywords
- construction
- image
- actual
- point
- building
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010276 construction Methods 0.000 title claims abstract description 401
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000003860 storage Methods 0.000 title claims description 11
- 238000005070 sampling Methods 0.000 claims abstract description 79
- 238000013461 design Methods 0.000 claims abstract description 40
- 238000013441 quality evaluation Methods 0.000 claims abstract description 20
- 238000007689 inspection Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims description 70
- 238000012937 correction Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 11
- 238000010586 diagram Methods 0.000 claims description 10
- 238000001303 quality assessment method Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 8
- 238000003702 image correction Methods 0.000 claims description 4
- 238000003908 quality control method Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 9
- 238000004422 calculation algorithm Methods 0.000 description 9
- 238000003707 image sharpening Methods 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
- 238000009435 building construction Methods 0.000 description 3
- 230000003321 amplification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0025—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement consisting of a wireless interrogation device in combination with a device for optically marking the record carrier
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Computer Graphics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Image Analysis (AREA)
- Artificial Intelligence (AREA)
- Game Theory and Decision Science (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Bioinformatics & Cheminformatics (AREA)
Abstract
The invention relates to an assembly type construction quality supervision control method, which is applied to a supervision end and comprises the following steps: building an engineering construction model based on a construction design drawing, wherein the engineering construction model is provided with an observation point, and an image of the engineering construction model is obtained and used as a basic reference image; acquiring sampling information, matching the sampling observation point with the observation point to obtain a position of the construction position corresponding to the engineering construction model, and updating the inspection record of the observation point; acquiring a spatial distance between an actual shooting point and a sampling observation point, calculating a reference point in the engineering construction model, and acquiring an engineering construction model image as an actual reference image; and acquiring a shot construction result image, carrying out contour recognition to obtain contour data, comparing the construction result image with an actual reference image, and correcting the construction result image to obtain a construction quality evaluation value. The invention has the effect of reducing the working intensity of the supervision personnel.
Description
Technical Field
The invention relates to the technical field of building construction supervision, in particular to an assembly type construction quality supervision control method, device, equipment and storage medium.
Background
The building construction refers to production activities in the engineering construction implementation stage, is a construction process of various buildings, and also refers to a process of changing various lines on a design drawing into a real object at a specified place, and comprises basic engineering construction, main structure construction, roofing engineering construction, decoration engineering construction and the like, and the place of construction operation is called a building construction site or a construction site, and is also called a construction site.
In the construction process, a construction unit entrusts a construction project supervision unit to monitor the quality, the cost and the progress of a construction project in a construction stage, manage contracts and information, coordinate the relationship of engineering construction related parties and perform service activities of legal responsibilities of construction project safety production management.
In the related art, a supervisor usually goes to a recording point of a construction site to monitor and record the construction quality of the site. However, the construction method fails to perform construction according to the design requirements, so that the construction situation at the site may deviate from the expected design, and the construction site generally has a plurality of recording points, so that the work intensity of the supervisor is high.
Disclosure of Invention
The invention aims to provide an assembly type construction quality supervision control method which has the characteristics of assisting in identifying and judging construction quality conditions of a construction site and reducing the working strength of supervision personnel.
The above object of the present invention is achieved by the following technical solutions:
an assembly type construction quality supervision control method is applied to a supervision end, and comprises the following steps:
building an engineering construction model based on a construction design drawing, setting a plurality of observation points with fixed positions on the engineering construction model, and taking the observation points as datum points to obtain an image of the engineering construction model as a basic reference image;
acquiring sampling information of sampling observation points from a construction site, wherein the sampling observation points correspond to the observation points one by one, matching the sampling observation points with the observation points to obtain a position of a construction position on the construction site corresponding to an engineering construction model, and updating inspection records of the observation points;
acquiring a spatial distance between an actual shooting point and the sampling observation point, calculating the actual shooting point relative to a reference point in the engineering construction model, and acquiring an image of the engineering construction model at the reference point as an actual reference image;
and taking the actual reference image as a comparison, acquiring a construction result image shot by the construction building at the actual shooting point, carrying out contour recognition on the construction result image to obtain contour data of the construction result image, carrying angle information on the contour data, comparing the construction result image with the actual reference image, correcting the angle of the construction result image, and comparing the construction result image with a construction design drawing to obtain a construction quality evaluation value.
By adopting the technical scheme, the engineering construction model about the construction building is firstly built at the supervision end, all structural details of the construction building are included in the engineering construction model, and the design size information of the building is input according to the design drawing. And selecting a plurality of observation points in the engineering construction model as reference points to obtain and integrate a basic reference image of the engineering construction model, and sending the basic reference image to a supervisor of a construction site. And the supervision personnel acquires sampling information of the on-site sampling observation point to determine the site construction position and simultaneously feeds the sampling information back to the supervision end, so that the supervision end corresponds to the construction position on the engineering construction model. And simultaneously, feeding back the space distance between the supervision personnel and the sampling observation point to a supervision end in real time, and calculating by the supervision end to determine the position of the actual shooting point relative to the engineering construction model. And the supervision terminal sends a corresponding actual reference image to enable supervision personnel to shoot the construction building to obtain a construction result image, the supervision terminal identifies the construction result image, the difference between the construction building and the design requirement is judged, and the construction quality evaluation value related to the construction building is obtained.
The present invention in a preferred example may be further configured to: the acquiring of the image of the engineering construction model as the basic reference image includes:
and acquiring images and parameter information of the engineering construction model from the view angle of the observation point, and integrating the images into a basic reference image about the observation point, wherein the parameter information comprises structural information and size information of the engineering construction model.
By adopting the technical scheme, the image information and the parameter information of the engineering construction model are acquired from the view angle of the observation point, and the image information is integrated into the basic reference image and is used for the supervision personnel to accurately find the shot building position and angle in the construction site in comparison with the basic reference image. And the parameter information is used for comparing the design size with the shot size of the actual construction building and judging whether the size of the actual construction building meets the requirement.
The present invention in a preferred example may be further configured to: the acquiring of the sampling information from the sampling observation point of the construction site comprises:
and sending a position reading signal to a manager, and enabling the manager to read the readable electronic identifier arranged on the sampling observation point and acquire the sampling information, wherein the sampling information comprises the position information and the name information of the sampling observation point.
By adopting the technical scheme, when the supervision personnel arrives at the construction site to inspect the construction building, the supervision personnel reads the readable electronic identification at the sampling observation point on the construction site, obtains the position information and the name information of the sampling inspection point and confirms the inspection site.
The present invention in a preferred example may be further configured to: acquiring a spatial distance between an actual shooting point and the sampling observation point, calculating the actual shooting point relative to a reference point in the engineering construction model, and acquiring an image of the engineering construction model at the reference point as an actual reference image, wherein the acquiring step comprises the following steps:
establishing a three-dimensional space coordinate system by taking the sampling observation point as a coordinate origin;
enabling an actual shooting point to scan the readable electronic identifier at the sampling observation point and establish communication connection with the readable electronic identifier, positioning the position of the actual shooting point, identifying the distance between the actual shooting point and the coordinate origin, determining the position of the actual shooting point in the three-dimensional space coordinate system, and calculating a space vector between the actual shooting point and the coordinate origin;
establishing a three-dimensional space coordinate system by taking the observation point matched with the sampling observation point as a coordinate origin, calculating the reference point relative to the observation point by using the space vector, and acquiring an image of the engineering construction model as an actual reference image by taking the reference point as a reference point;
judging the position relation between an actual shooting point and the sampling observation point, and if the modulus of the space vector is smaller than a preset vector threshold value, taking the actual reference image sent to the actual shooting point as the basic reference image;
and if the modulus of the space vector is larger than a preset vector threshold value, sending the actual reference image to an actual shooting point.
By adopting the technical scheme, the three-dimensional space model is established at the sampling observation point and the observation point, and when the prisoner judges that the sampling observation point is not suitable for inspection according to the site construction condition, the position of the actual shooting point where the prisoner is located relative to the engineering construction model is simulated in the three-dimensional space coordinate system through the space vector relationship between the actual shooting point and the sampling observation point, so that the actual reference image at the moment can be conveniently determined.
The present invention in a preferred example may be further configured to: the performing contour identification on the construction result image to obtain contour data of the construction result image, where the contour data carries angle information, comparing the construction result image with the actual reference image, and correcting the angle of the construction result image, includes:
carrying out image gray processing, image edge sharpening processing and image denoising processing on the construction result image to obtain a construction result processing image;
identifying the construction result processing image, and extracting the building characteristics in the construction result processing image to obtain a construction building identification map, wherein the construction building identification map comprises the contour data of a construction building;
and comparing the shooting angle of the actual reference image with the angle information of the contour data, and rotating the construction result image to enable the shooting angle of the construction result image to be consistent with that of the actual reference image.
By adopting the technical scheme, the construction result graph is subjected to gray level processing, so that the data amount of the construction result graph calculated by the supervision terminal is reduced in data processing, and the image processing time is shortened. The image edge sharpening processing and the image denoising processing enable the image to be more clearly represented in detail, and more characteristic information can be embodied to facilitate image recognition. The supervision terminal identifies the construction buildings in the processed images, obtains the building type information, the position information and the construction building size information of the construction buildings, and is beneficial to comparing the construction buildings with the design models subsequently to obtain the construction similarity.
The present invention in a preferred example may be further configured to: the construction result image and the construction design drawing are compared, and the method comprises the following steps:
classifying the building features in the construction building identification graph, comparing the building features with building elements in an engineering construction model, and confirming that the building features correspond to positions and names on the engineering construction model;
calculating and recording the actual size information of the construction building for the construction building identification diagram by taking the ratio of the distance between the observation point and the engineering construction model to the actual distance between the sampling observation point and the building as a scale, and generating an actual construction report;
and comparing the actual size information with the size information on the design drawing to obtain the construction similarity.
By adopting the technical scheme, the building features in the construction building identification map are classified and then matched with the building elements with the design requirements, and then the matched feature size information is compared with the size information with the design requirements to obtain the construction similarity, and the construction similarity is used for judging whether the site construction meets the design requirements.
The present invention in a preferred example may be further configured to: the construction result image and the construction design drawing are compared, and the method further comprises the following steps:
and comparing the construction similarity with a preset threshold to obtain a construction quality assessment value, if the construction quality assessment value is lower than the preset threshold, sending warning information to a supervisor, and judging whether to execute a deviation correction scheme by the supervisor.
By adopting the technical scheme and the method, the construction quality assessment value obtained by comparing the threshold value set by the construction similarity is used for assisting the supervision personnel to judge the site construction condition. If the construction quality assessment value is higher, the construction quality situation at the position is better, and the number of inspection times can be correspondingly reduced by a proctoring staff; if the construction quality evaluation value is low, it indicates that the construction quality situation at the position may have deviation, and a supervisor needs to check the construction quality situation on site and judge whether to execute a corresponding deviation correction scheme.
The invention also aims to provide the assembled construction quality supervision control device which has the characteristic of reducing the working strength of supervision personnel.
The second aim of the invention is realized by the following technical scheme:
an assembly type construction quality supervision control device, comprising:
the system comprises a construction project module, a data processing module and a data processing module, wherein the construction project module is used for building an engineering construction model based on a design drawing, and a plurality of observation points with fixed positions are arranged on the engineering construction model;
the construction recording module is used for shooting the construction building near the sampling observation point by the actual shooting point to obtain a construction result image and sending the construction result image to the supervision end;
a positioning module: the system comprises a camera, a coordinate origin and a real shooting point, wherein the camera is used for establishing communication connection between the real shooting point and a readable electronic identifier and sending the distance and the direction between the real shooting point and the coordinate origin;
the image processing and identifying module is used for processing the construction result image, making the architectural features of the construction result image clearer, identifying the architectural features, extracting the architectural features in the construction result processing image and obtaining the contour data of the construction result image;
the image correction module is used for comparing the shooting angle of the actual reference image with the angle information of the contour data, and correcting the construction result image to enable the shooting angle of the construction result image to be consistent with that of the actual reference image;
the construction quality evaluation module is used for comparing the construction result image with a construction design drawing to obtain a construction quality evaluation value;
and the deviation correction module is used for recording the deviation, the deviation type and the deviation correction scheme in the construction process.
By adopting the technical scheme, the engineering construction model is firstly established through the construction engineering project module, and the plurality of observation points are selected, so that the image of the engineering construction model corresponding to the observation points is conveniently obtained to be used as the basic reference image. In addition, a three-dimensional space coordinate system is established at the observation point so as to position the position of the actual shooting point where the supervisor is located, and an actual reference image is sent to the construction recording module. The position of the supervision personnel is shared in real time by scanning the readable electronic identification on the construction site, determining the actual shooting area through the positioning module, and establishing communication connection with the readable electronic identification. And the supervision personnel receives the actual reference image through the construction recording module, takes the actual reference image as a reference to shoot the corresponding position of the construction building so as to obtain a construction result image, and sends the construction result image to the image processing and identifying module for processing and identifying the building characteristics in the image. And then the image processing and identifying module sends the extracted and identified building characteristics to a construction quality evaluation module for comparison with information such as design size and the like to obtain a construction quality evaluation value related to construction quality. When the construction quality assessment value meets the end, the supervision personnel judge whether to execute the deviation correction scheme or not and record the corresponding deviation correction scheme in the deviation correction module, so that when the same problem occurs again, the solution can be found in time.
The third purpose of the present invention is to provide an electronic device, which has the function of storing and executing the project quality supervision method, so as to ensure the normal operation of the supervision method.
The third object of the invention is realized by the following technical scheme:
an electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that implements any of the above-described project quality supervision methods.
By adopting the technical scheme, the memory is used for storing the computer program using the engineering quality supervision method, and the computer program stored in the memory can control the supervision terminal to run through the processor.
The fourth purpose of the invention is to provide a computer storage medium which can store corresponding programs and has the characteristic of being convenient for realizing the application of the engineering quality supervision method.
The fourth object of the invention is realized by the following technical scheme:
a computer readable storage medium storing a computer program that can be loaded by a processor and executed to perform any one of the above-described project quality monitoring methods.
By adopting the technical scheme, the storage medium stores a computer program of the quality supervision control method, and the computer reads the program in the storage medium to execute the quality supervision control method.
In summary, the invention includes at least one of the following beneficial technical effects:
the construction quality condition of a construction site can be automatically collected, identified and judged and can be used as an auxiliary reference for quality supervision, so that the working intensity of supervision personnel is reduced;
the construction condition of the construction site can be known by the proctoring personnel through the proctoring end, so that the proctoring personnel can monitor a plurality of check points simultaneously.
Drawings
FIG. 1 is an overall schematic block diagram of the present invention;
fig. 2 is a schematic flow chart of the present invention for acquiring an actual reference image.
Fig. 3 is a flowchart for acquiring a construction quality evaluation value in the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The embodiment of the invention discloses an assembly type construction quality supervision control method, which refers to fig. 1, wherein the method comprises the following steps:
s10, building an engineering construction model by the aid of a proctoring base on the basis of a construction design drawing, setting a plurality of observation points with fixed positions in the engineering construction model, and taking the observation points as datum points and the obtained image of the engineering construction model as a basic reference image. In the embodiment, the supervision terminal comprises an image acquisition terminal for shooting a construction site and a processing terminal for data processing.
In this embodiment, the processing terminal establishes a visual engineering construction model of the engineering construction building according to the size data on the construction design drawing, in this embodiment, the engineering construction model is a three-dimensional model, and the engineering construction model is reduced and presented in a certain proportion according to the effect of design construction. In the engineering construction model, the building details inside the model can be observed by moving the visual angle. It can be understood that the engineering construction model is observed like the VR technology.
A plurality of points are selected from the engineering construction model as observation points, the positions of the observation points are fixedly arranged relative to the engineering construction model, the observation points can be distributed inside and outside the engineering construction model, and each observation point comprises name information and position information relative to the engineering construction model. The observation point is used as a reference point, the visual angle of the observation point is adjusted, so that a plurality of images of the engineering construction model are acquired, and the plurality of images are integrated to obtain a basic reference image about the observation point. And recording relevant parameter information of the engineering construction model, wherein the parameter information comprises the size information of the building design and the mutual matching relationship between the building structures.
S20, acquiring sampling information of sampling observation points from a construction site, wherein the sampling observation points correspond to the observation points one to one, matching the sampling observation points with the observation points to obtain a position of a construction position on the construction site corresponding to an engineering construction model, and updating the inspection record of the observation points.
In the construction process, a plurality of sampling observation points are arranged on a construction site, the positions of the sampling observation points are also fixedly arranged relative to a construction building, the sampling observation points are used as reference points for proctoring personnel and an image acquisition end to observe the actual construction building, and the sampling observation points are in one-to-one correspondence with the observation points. The sampling observation point comprises the name and the position information of the sampling observation point and the position information of a construction site.
The image acquisition end scans the readable electronic identification at the sampling observation point on site, acquires the position information and the name information of the sampling observation point, integrates the position information and the name information into sampling information, and uploads the sampling information to the supervision end. The supervision terminal matches the sampling observation points with the observation points in the engineering construction model according to the sampling information, thereby confirming the area where the supervision personnel is located and the surrounding buildings, updating the inspection records of the corresponding observation points, and executing the following step S30. In other embodiments, the connection between the administrator and the readable electronic identifier may be a wireless connection, a bluetooth connection, or a GPRS connection.
And S30, acquiring the space distance between the actual shooting point and the sampling observation point, calculating the actual shooting point relative to the reference point in the engineering construction model, and acquiring the image of the engineering construction model at the reference point as an actual reference image.
Due to the fact that the site construction situation is complex, the preset sampling observation point may be shielded by construction facilities or the condition that a supervisor cannot conveniently check at the sampling observation point exists, so that the actual shooting point of the supervisor during the site construction is inconsistent with the preset sampling observation point, and the position relation between the actual shooting point and the sampling observation point needs to be calculated.
S31, referring to fig. 2, a three-dimensional space coordinate system is established with the sampling observation point as the origin of coordinates. The X axis and the Y axis of the three-dimensional space coordinate system are both horizontally arranged, and the Z axis of the three-dimensional space coordinate system is vertically arranged. Wherein, the X-axis extends to the construction position direction with the origin of coordinates, and the Y-axis is arranged perpendicular to the X-axis.
And S32, after scanning the readable electronic mark at the sampling observation point, the proctor establishes communication connection with the readable electronic mark for positioning the spatial position of the actual shooting point. The image acquisition end identifies the distance and the position direction of the actual shooting point relative to the readable electronic identifier, so that a space vector of the actual shooting point relative to the three-dimensional space coordinate system can be obtained, wherein the mode of the space vector is the distance of the actual shooting point relative to the readable electronic identifier, and the symbol of the space vector is the direction of the actual shooting point relative to the readable electronic identifier. The image acquisition end sends the space vector to the supervision end.
And S33, matching the actual shooting point with the engineering construction model. And after receiving the space vector, the processing terminal sets an observation point matched with the actual shooting point as a coordinate origin to establish a three-dimensional space coordinate system, wherein an X axis and a Y axis of the coordinate system are respectively arranged along the horizontal direction of the engineering construction model, and a Z axis of the coordinate system is arranged along the vertical direction of the engineering construction model.
And acquiring space vector data of the sampling observation point, and calculating the position in the three-dimensional space model which is relative to the observation point and is taken as the coordinate origin according to the space vector to be taken as the reference point of the actual shooting point.
And S34, acquiring an actual reference image. The reference point is used as the reference point, the visual angle of the reference point is adjusted, so that the images of the engineering construction models are obtained, the images are integrated to obtain an actual reference image about the reference point, and the actual reference image is sent to the image acquisition end.
And judging the position relation between the actual shooting point and the sampling observation point. When the actual shooting point is positioned at the sampling observation point, namely the modulus of the space vector is smaller than a preset vector threshold value, the transmitted actual reference image is the basic reference image; when the actual shooting point and the sampling observation point have deviation, the modulus of the space vector is larger than the preset vector threshold, the actual reference image sent by the processing terminal to the image acquisition end is an image of the engineering construction model acquired by taking the calculated reference point as the reference point, and the following step S40 is executed.
S40, obtaining a construction result image shot by the construction building at the actual shooting point by taking the actual reference image as a comparison, carrying out contour recognition on the construction result image to obtain contour data of the construction result image, carrying angle information, comparing the construction result image with the actual reference image, correcting the angle of the construction result image, and comparing the construction result image with a construction design drawing to obtain a construction quality evaluation value.
S41, referring to fig. 3, the processing terminal processes the actual reference image, extracts only the edge contour lines of the buildings in the actual reference image, and integrates the edge contour lines to form a reference contour map. And adjusting the actual shooting angle, taking the actual shooting point as the sampling circle center, taking the reference contour map as a reference, enabling the reference contour map to be approximately overlapped with the actual construction building, and shooting the construction building on site to obtain a construction result image. The construction result image includes appearance information of an actual construction building. It can be understood that the supervisor compares the structures in the actual construction building in sequence at the actual shooting point by taking the contour lines in the reference contour map as a comparison template, and shoots the most similar position to the contour lines in the construction building to obtain a construction result map, so that the angle and the image of the construction building shot at the actual shooting point are consistent with the angle and the image of the engineering construction model shot at the reference point, and the construction result map is compared and processed conveniently.
And S42, performing image processing on the construction result image. The processing terminal receives the construction result image collected by the image collecting terminal, firstly carries out image processing on the construction result image to obtain a construction result processing image, and the image processing comprises image gray processing, image edge sharpening processing and image denoising processing.
Specifically, when the construction result image is subjected to the gradation processing, a process of converting the color image into the gradation image is referred to as the gradation processing of the image. The color of each pixel in the color image is determined by R, G, B three components, and the preferred value of each component is 255, so that a pixel can have a range of 1658 thousands (255 x 255) of colors. The image gray processing is to make R, G, B components of a color image equal to form a gray image, and since R, G, B components are equal, the variation range of one pixel is reduced to 255, so that in the digital image processing, images in various formats are generally converted into gray images, so that the calculation amount of subsequent images is reduced.
The description of a grayscale image, like a color image, still reflects the distribution and characteristics of the chrominance and luminance levels, both globally and locally, of the entire image. The color construction result image is converted into a gray level image, the quality of the construction result image is improved, and the construction result image can display more details so as to be convenient for subsequent identification and analysis of the construction result image. In this embodiment, the grayscale processing method for the construction result image may be any one of a component method, a maximum value method, an average value method, and a weighted average value method, so as to obtain a grayscale image.
And carrying out sharpening on the gray-scale image after the gray-scale processing, wherein the sharpening is to reduce the blur in the image by enhancing high-frequency components, enhance the detail edge and contour of the image, enhance the gray-scale contrast and facilitate the identification and processing of the target in the later period.
In this embodiment, a common algorithm for image sharpening is called as an unsharp Mask USM sharpening enhancement algorithm (unsharp Mask algorithm), abbreviated as an USM sharpening algorithm, in the sharpening method, a gaussian blur is first performed on an original image to obtain a passivated blurred image, the passivated blurred image is subtracted from the original image to obtain a high-frequency partial image, the high-frequency partial image is multiplied by an amplification factor to obtain an amplified high-frequency partial image, and the amplified high-frequency partial image and the original image are finally superimposed to obtain a sharpened image, so that edge information in a gray image is clearer, and some fine interference details and noise in the gray image can be removed. Compared with the image sharpening result obtained by directly using a convolution sharpening operator, the USM sharpening algorithm is more real and credible.
The computational formula of the USM sharpening algorithm is expressed as follows:
sharpened image = original image + (original image-w gaussian blur)/(1-w);
wherein w represents a weight (0.1-0.9), and w is 0.6 as default; (1-w) represents an amplification factor.
After the image is sharpened, denoising processing needs to be performed on the sharpened image to remove noise in the image to obtain a denoised image. The denoising process used in this embodiment is a Partial Differential Equation (PDE) -based denoising algorithm for denoising a person sharpened image with a continuous number of frames. When the Partial Differential Equation (PDE) denoising algorithm denoises a sharpened image, the intensity and the direction of image features can be detected, and the image is processed according to the principle that the smoothness degree of a region with strong image features is small and the smoothness degree of a region with weak image features is large, so that the noise in the image is removed, the effect of image edges is well reserved, and a construction result processed image is obtained.
And S43, analyzing and identifying the characteristic information in the image to obtain the construction similarity. Wherein the image recognition comprises image feature extraction and image classification.
The processing terminal extracts the characteristics of the construction effect processing diagram, the edges of the construction buildings in the image are used as characteristic points, the image is sequentially extracted, a construction building identification diagram and the contour data of the construction buildings are obtained, and the contour data carries angle information for shooting the construction effect processing diagram. And comparing the angle information of the acquired construction effect processing diagram with the angle information of the acquired actual reference image, and correcting the angle of the construction result diagram. The method for correcting the angle of the construction result graph is image rotation.
Calculating the size information of the actual construction building, taking the ratio obtained by comparing the distance between the observation point and the building element in the engineering construction model with the distance between the sampling observation point and the actual building as a reference scale, then amplifying the characteristic size in the shot construction building identification diagram to obtain the actual size information of the construction building characteristic, and generating an actual construction report by the supervision terminal.
And classifying the extracted features. Firstly, each building element in an engineering construction model is trained, the independent states of the building elements and the states of the building elements in mutual matching are shot at different angles and stored in a supervision terminal, so that the information of the building elements in the model can be reflected at different angles, and a building element foundation reference image is obtained and comprises name information and design size information of the building elements.
And comparing the features in the construction building identification drawing with the building elements in the element foundation reference image in sequence, confirming the name information of the shot features, and updating the engineering progress in the engineering construction model. And the supervision terminal compares the actual size information of the actual construction building in the construction building identification picture with the design size information in the building element foundation reference picture, confirms whether the size information of the construction building is consistent with the design, and obtains the construction similarity between the actual construction and the expected design.
And S44, comparing the obtained construction similarity with a preset threshold value to obtain a construction quality evaluation value. If the construction quality evaluation value is high, the actual construction meets the design requirement, and the number of inspection times of the construction position can be correspondingly reduced by the supervision personnel. If the construction quality assessment value is low, it indicates that the actual construction may deviate from the expected design. And comparing the actual construction result image with the deviation state diagram, and judging the deviation type. The supervision end sends out warning information to prompt supervision personnel to go to the site to inspect the construction condition of the site, and dimension information of the construction building is measured on site. Whether the construction similarity calculated by the supervision personnel feedback supervision end is accurate or not is judged, if the construction similarity is accurate, the deviation of the size of actual construction is shown, the supervision end confirms a corresponding deviation correction scheme and sends the deviation correction scheme to the constructor, and meanwhile, a deviation feedback report is generated and comprises a construction quality assessment value, the name of the supervision personnel, the time for the supervision personnel to check and the feedback of the checking condition, the found deviation type, the executed deviation correction scheme and the accuracy of the predicted deviation correction scheme.
Example two:
the embodiment of the invention provides an assembly type construction quality supervision control device, which comprises:
the construction project module is used for building an engineering construction model based on a design drawing, and a plurality of observation points with fixed positions are arranged on the engineering construction model;
the construction recording module is used for shooting the construction building near the sampling observation point by the actual shooting point to obtain a construction result image and sending the construction result image to the supervision end;
a positioning module: the system comprises a camera, a coordinate origin and a real shooting point, wherein the camera is used for establishing communication connection between the real shooting point and a readable electronic identifier and sending the distance and the direction between the real shooting point and the coordinate origin;
the image processing and identifying module is used for processing the construction result image, making the architectural features of the construction result image clearer, identifying the architectural features, extracting the architectural features in the construction result processing image and obtaining the contour data of the construction result image;
and the image correction module is used for comparing the shooting angle of the actual reference image with the angle information of the contour data, and correcting the construction result image to enable the shooting angle of the construction result image to be consistent with that of the actual reference image.
And the construction quality evaluation module is used for comparing the construction result image with the construction design drawing to obtain a construction quality evaluation value.
And the deviation correction module is used for recording the deviation, the deviation type and the deviation correction scheme in the construction process.
In this embodiment, the image processing and recognition module includes:
the image gray processing unit is used for carrying out gray conversion on the construction result image shot by the construction recording module, and reducing image data contained in the color image so as to accelerate the data volume of subsequent image processing;
the image sharpening processing unit receives the gray level image from the image gray level processing unit and sharpens the gray level image to enable the building edge in the image to be more obvious and further obtain a sharpened image;
and the image denoising processing unit is internally preset with a partial differential equation-based denoising algorithm and is used for denoising the sharpened image, reducing interference noise in the image and obtaining a construction result processing image.
The construction method comprises the steps that firstly, an engineering project module establishes an engineering construction model, a plurality of observation points are arranged, a basic reference image is obtained by taking the observation points as datum points, an actual reference image is obtained by taking the reference points, the actual reference image is sent to a construction recording module, the construction recording module shoots a site construction building, a construction result image is obtained, and the construction result image is sent to a supervision terminal. The proctoring personnel scan the readable electronic identification at the sampling observation point, and the distance and the direction between the actual shooting point and the coordinate origin are sent to the proctoring end by utilizing the communication connection established between the positioning module and the readable electronic identification. The image processing and identifying module processes the construction result image, and the image gray processing unit, the image sharpening processing unit and the image denoising processing unit are sequentially utilized for image processing, so that the building characteristics in the construction result image are clearer, and the construction result image can be conveniently identified with the building elements in the engineering construction model. And the image correction module compares the processed construction result image with the actual reference image and adjusts the display angle of the actual result image. And the construction quality evaluation module calculates the building size and the design size in the construction result image, judges to obtain a construction quality evaluation value, and records a corresponding deviation correction scheme by the deviation correction module if the construction quality evaluation value is smaller than a preset threshold value.
Example three:
an embodiment of the present invention provides an electronic device, which includes a memory and a processor, where the memory stores a computer program that can be loaded by the processor and execute any one of the above engineering quality monitoring methods. Specifically, the electronic device includes a computer, a mobile phone, a tablet, a reader, and the like.
Example four:
the embodiment of the present invention provides a computer readable storage medium, which stores a computer program capable of being loaded by a processor and executing any one of the methods described above. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (10)
1. An assembly type construction quality supervision control method is applied to a supervision end and is characterized by comprising the following steps:
building an engineering construction model based on a construction design drawing, setting a plurality of observation points with fixed positions on the engineering construction model, and taking the observation points as datum points to obtain an image of the engineering construction model as a basic reference image;
acquiring sampling information of sampling observation points from a construction site, wherein the sampling observation points correspond to the observation points one by one, matching the sampling observation points with the observation points to obtain a position of a construction position on the construction site corresponding to an engineering construction model, and updating inspection records of the observation points;
acquiring a spatial distance between an actual shooting point and the sampling observation point, calculating the actual shooting point relative to a reference point in the engineering construction model, and acquiring an image of the engineering construction model at the reference point as an actual reference image;
and taking the actual reference image as a comparison, acquiring a construction result image shot by the construction building at the actual shooting point, carrying out contour recognition on the construction result image to obtain contour data of the construction result image, carrying angle information on the contour data, comparing the construction result image with the actual reference image, correcting the angle of the construction result image, and comparing the construction result image with a construction design drawing to obtain a construction quality evaluation value.
2. The method of claim 1, wherein the obtaining the image of the engineering construction model as a base reference image comprises:
and acquiring images and parameter information of the engineering construction model from the view angle of the observation point, and integrating the images into a basic reference image about the observation point, wherein the parameter information comprises structural information and size information of the engineering construction model.
3. The method of claim 1, wherein the obtaining sampling information from a sampling observation point at a job site comprises:
and sending a position reading signal to a manager, and enabling the manager to read the readable electronic identifier arranged on the sampling observation point and acquire the sampling information, wherein the sampling information comprises the position information and the name information of the sampling observation point.
4. The method of claim 1, wherein obtaining the spatial distance between the actual shot point and the sampling observation point, calculating the actual shot point relative to a reference point in the engineering construction model, and obtaining the image of the engineering construction model at the reference point as an actual reference image comprises:
establishing a three-dimensional space coordinate system by taking the sampling observation point as a coordinate origin;
enabling an actual shooting point to scan the readable electronic identifier at the sampling observation point and establish communication connection with the readable electronic identifier, positioning the position of the actual shooting point, identifying the distance between the actual shooting point and the coordinate origin, determining the position of the actual shooting point in the three-dimensional space coordinate system, and calculating a space vector between the actual shooting point and the coordinate origin;
establishing a three-dimensional space coordinate system by taking the observation point matched with the sampling observation point as a coordinate origin, calculating the reference point relative to the observation point by using the space vector, and acquiring an image of the engineering construction model as an actual reference image by taking the reference point as a reference point;
judging the position relation between an actual shooting point and the sampling observation point, and if the modulus of the space vector is smaller than a preset vector threshold value, taking the actual reference image sent to the actual shooting point as the basic reference image;
and if the modulus of the space vector is larger than a preset vector threshold value, sending the actual reference image to an actual shooting point.
5. The method as claimed in claim 4, wherein the performing contour recognition on the construction result image to obtain contour data of the construction result image, the contour data carrying angle information, and comparing the construction result image with the actual reference image to correct the angle of the construction result image comprises:
carrying out image gray processing, image edge sharpening processing and image denoising processing on the construction result image to obtain a construction result processing image;
identifying the construction result processing image, and extracting the building characteristics in the construction result processing image to obtain a construction building identification map, wherein the construction building identification map comprises the contour data of a construction building;
and comparing the shooting angle of the actual reference image with the angle information of the contour data, and rotating the construction result image to enable the shooting angle of the construction result image to be consistent with that of the actual reference image.
6. The method of claim 5, wherein comparing the construction result image with a construction design drawing to obtain a construction quality assessment value comprises:
classifying the building features in the construction building identification graph, sequentially comparing the building features with building elements in an engineering construction model, and confirming the positions and names of the building features corresponding to the building elements of the engineering construction model;
calculating and recording the actual size information of the construction building for the construction building identification diagram by taking the ratio of the distance between the observation point and the engineering construction model to the actual distance between the sampling observation point and the building as a scale, and generating an actual construction report;
and comparing the actual size information with the size information on the design drawing of the building element to obtain the construction similarity.
7. The method of claim 6, wherein comparing the construction result image to a construction plan further comprises:
and comparing the construction similarity with a preset threshold to obtain a construction quality assessment value, if the construction quality assessment value is lower than the preset threshold, sending warning information to a supervisor, and judging whether to execute a deviation correction scheme by the supervisor.
8. The utility model provides an assembled construction quality control device that supervises which characterized in that includes:
the system comprises a construction project module, a data processing module and a data processing module, wherein the construction project module is used for building an engineering construction model based on a design drawing, and a plurality of observation points with fixed positions are arranged on the engineering construction model;
the construction recording module is used for shooting the construction building near the sampling observation point by the actual shooting point to obtain a construction result image and sending the construction result image to the supervision end;
a positioning module: the system comprises a camera, a coordinate origin and a real shooting point, wherein the camera is used for establishing communication connection between the real shooting point and a readable electronic identifier and sending the distance and the direction between the real shooting point and the coordinate origin;
the image processing and identifying module is used for processing the construction result image, making the architectural features of the construction result image clearer, identifying the architectural features, extracting the architectural features in the construction result processing image and obtaining the contour data of the construction result image;
the image correction module is used for comparing the shooting angle of the actual reference image with the angle information of the contour data, and correcting the construction result image to enable the shooting angle of the construction result image to be consistent with that of the actual reference image;
the construction quality evaluation module is used for comparing the construction result image with a construction design drawing to obtain a construction quality evaluation value;
and the deviation correction module is used for recording the deviation, the deviation type and the deviation correction scheme in the construction process.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method of project quality supervision according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes a method of project quality supervision according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111332204.1A CN114066206A (en) | 2021-11-11 | 2021-11-11 | Assembly type construction quality supervision control method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111332204.1A CN114066206A (en) | 2021-11-11 | 2021-11-11 | Assembly type construction quality supervision control method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114066206A true CN114066206A (en) | 2022-02-18 |
Family
ID=80275172
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111332204.1A Pending CN114066206A (en) | 2021-11-11 | 2021-11-11 | Assembly type construction quality supervision control method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114066206A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115048712A (en) * | 2022-08-15 | 2022-09-13 | 北京迈平测绘技术开发有限公司 | Monitoring method and system for railway construction site |
| CN115660262A (en) * | 2022-12-29 | 2023-01-31 | 网思科技股份有限公司 | Intelligent engineering quality inspection method, system and medium based on database application |
| CN116341875A (en) * | 2023-04-25 | 2023-06-27 | 盐城市建设工程质量检测中心有限公司 | Engineering detection system and method applied to building construction site |
-
2021
- 2021-11-11 CN CN202111332204.1A patent/CN114066206A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115048712A (en) * | 2022-08-15 | 2022-09-13 | 北京迈平测绘技术开发有限公司 | Monitoring method and system for railway construction site |
| CN115048712B (en) * | 2022-08-15 | 2022-10-25 | 北京迈平测绘技术开发有限公司 | Monitoring method and system for railway construction site |
| CN115660262A (en) * | 2022-12-29 | 2023-01-31 | 网思科技股份有限公司 | Intelligent engineering quality inspection method, system and medium based on database application |
| CN116341875A (en) * | 2023-04-25 | 2023-06-27 | 盐城市建设工程质量检测中心有限公司 | Engineering detection system and method applied to building construction site |
| CN116341875B (en) * | 2023-04-25 | 2023-11-21 | 盐城市建设工程质量检测中心有限公司 | Engineering detection system and method applied to building construction site |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114066206A (en) | Assembly type construction quality supervision control method, device, equipment and storage medium | |
| CN110930353B (en) | Method and device for detecting state of hole site protection door, computer equipment and storage medium | |
| CN107543828B (en) | Workpiece surface defect detection method and system | |
| CN109870461B (en) | Electronic components quality detection system | |
| CN112419299B (en) | Bolt missing detection method, device, equipment and storage medium | |
| JP2017053819A (en) | Crack detection method and detection program of concrete | |
| CN110596120A (en) | Glass boundary defect detection method, device, terminal and storage medium | |
| CN105718931B (en) | System and method for determining clutter in acquired images | |
| CN112419420B (en) | Camera calibration method and device, electronic equipment and storage medium | |
| CN112085721A (en) | Damage assessment method, device and equipment for flooded vehicle based on artificial intelligence and storage medium | |
| CN112085753A (en) | Water level monitoring method, equipment, medium and monitoring system based on image processing | |
| CN111461101A (en) | Method, device and equipment for identifying work clothes mark and storage medium | |
| CN113688817A (en) | Instrument identification method and system for automatic inspection | |
| CN117058154B (en) | Defect identification method, system and medium for 3DP metal printing powder spreading process | |
| CN115908420A (en) | Method, device and equipment for detecting defects of printed circuit board and storage medium | |
| CN113850786A (en) | Method and device for detecting vehicle door gap parameters and measuring equipment | |
| CN112634179A (en) | Transformer equipment image change detection method and system for preventing camera shake | |
| CN114897885B (en) | Infrared image quality comprehensive evaluation system and method | |
| CN110135274B (en) | Face recognition-based people flow statistics method | |
| JP4814116B2 (en) | Mounting board appearance inspection method | |
| CN108827157B (en) | Laser measurement verification method, device, system, equipment and storage medium | |
| CN112508925A (en) | Electronic lock panel quality detection method, system, computer device and storage medium | |
| CN113095321A (en) | Roller bearing temperature measurement and fault early warning method and device for belt conveyor | |
| CN112233020A (en) | Unmanned aerial vehicle image splicing method and device, computer equipment and storage medium | |
| CN111649804A (en) | Oil level monitoring method and device with storage function |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |