CN117350974A - Engineering quality determining method, device, equipment and medium - Google Patents
Engineering quality determining method, device, equipment and medium Download PDFInfo
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Classifications
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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Abstract
The present application relates to the field of image analysis, and in particular, to a method, an apparatus, a device, and a medium for determining engineering quality, where the method includes: when an engineering quality monitoring request is received, acquiring a target image of a target construction area, and identifying the target image to obtain a first image of a building member and a second image of a building connection part of the target construction area; identifying a first image to determine a surface defect signature of the building element, and determining a first quality assessment value based on the surface defect signature, the first quality assessment value being used to assess the quality of the building element; determining the fitting degree of the building connection part based on the second image; a second quality evaluation value is determined based on the fit degree and the first quality evaluation value, the second quality evaluation value being used to evaluate the construction quality of the target construction area. The method and the device can determine engineering quality more accurately.
Description
Technical Field
The present disclosure relates to the field of image analysis technologies, and in particular, to a method, an apparatus, a device, and a medium for determining engineering quality.
Background
Urban development and social development are not separated from the development of the building industry, and building project management work plays an important role in the development of the building industry. The construction quality management work is an important component in the construction, and by managing the construction project, the construction unit can be ensured to construct the project meeting national laws and regulations, the applicability and reliability of the construction project are improved, and meanwhile, the life and property safety of people can be ensured to the greatest extent, so that the quality management work plays an important role in the construction.
The related technology can collect construction behavior images of constructors on engineering construction sites, analyze and judge the construction behaviors of the constructors in the construction behavior images, and judge that the engineering quality is poor when the construction behaviors of the constructors are not in accordance with the construction standard, such as uneven thickness of certain areas caused by that components are not installed at correct positions and concrete is not poured at designated positions uniformly; however, the construction behavior of the constructor is accidental in the construction process, that is, the construction behavior at a moment may be irregular, and at this time, the image is directly divided to obtain a determination result of poor construction quality, so that the accuracy of determining the engineering quality according to the construction behavior of the constructor is poor.
Disclosure of Invention
In order to accurately determine engineering quality, the application provides an engineering quality determining method, an engineering quality determining device, engineering quality determining equipment and engineering quality determining media.
In a first aspect, the present application provides a method for determining engineering quality, which adopts the following technical scheme:
an engineering quality determination method, comprising:
when an engineering quality monitoring request is received, acquiring a target image of a target construction area, and identifying the target image to obtain a first image of a building member and a second image of a building connection part of the target construction area;
identifying the first image, determining a surface defect feature identification of the building element, and determining a first quality assessment value based on the surface defect feature identification, the first quality assessment value being used to assess the quality of the building element;
determining the fitting degree of the building connection part based on the second image;
and determining a second quality evaluation value based on the fit degree and the first quality evaluation value to evaluate the construction quality of the target construction area.
The present application may be further configured in a preferred example, wherein the surface defect feature identification includes at least: the crack characteristic identification and the hole characteristic identification, the determining a first quality assessment value based on the surface defect characteristic identification comprises: determining crack size information in the building member and crack concentration in the building member aiming at the crack characteristic identifier, and determining a first dangerous value corresponding to the crack characteristic identifier based on the crack size information and the crack concentration; determining hole size information and hole depth values in the building component aiming at the hole feature identifiers, and determining second dangerous values corresponding to the hole feature identifiers based on the hole size information and the hole depth values;
The first quality assessment value is determined based on the first risk value and the second risk value.
In a preferred example, the method may further include, before determining the first quality assessment value based on the first risk value and the second risk value, further including:
acquiring first position information of a crack corresponding to the crack characteristic identifier, and acquiring second position information of a hole corresponding to the hole characteristic identifier;
acquiring environment information of the target construction area;
determining a first weight value corresponding to the first position information and a second weight value corresponding to the second position information based on the environment information;
accordingly, the determining the first quality assessment value based on the first risk value and the second risk value includes: the first quality assessment value is determined based on the first risk value, the first weight value, the second risk value, and the second weight value.
The present application may in a preferred example be further configured to determine the hole depth value in the building element, comprising:
identifying the first image to determine boundary contour information and color depth values of holes corresponding to the hole feature identifiers;
Determining point cloud data of the hole based on the boundary contour information and the color depth value;
performing plane fitting on the point cloud data to obtain a fitted hole plane, and filling the fitted hole plane to generate a three-dimensional model of the hole;
and determining the hole depth value based on the stereoscopic model.
In a preferred example, the method may further include determining a second quality assessment value based on the fit and the first quality assessment value, including:
acquiring a class to which a quality assessment corresponding to a second quality assessment value belongs and a first working attribute corresponding to the building component, wherein the first working attribute characterizes the function of the building component;
determining, for the first quality assessment value for each building element, a third weight value for the first quality assessment value based on the first operating attribute and the class to which the quality assessment belongs for the building element;
acquiring a second working attribute of the building connection part, and determining a fourth weight value of the fitting degree based on the category to which the second working attribute and the quality evaluation belong, wherein the second working attribute characterizes the function of the building connection part;
The second quality assessment value is determined based on the fit, a fourth weight value for the fit, the first quality assessment value, and a third weight value for the first quality assessment value.
In a second aspect, the present application provides a process supervision device, which adopts the following technical scheme:
an engineering supervision apparatus comprising:
the target image acquisition module is used for acquiring a target image of a target construction area when receiving an engineering quality monitoring request, and identifying the target image to obtain a first image of a building member and a second image of a building connection part of the target construction area;
a first quality assessment value determination module for identifying the first image, determining a surface defect feature identification of the building element, and determining a first quality assessment value based on the surface defect feature identification, the first quality assessment value for assessing a quality of the building element;
the laminating degree determining module is used for determining the laminating degree of the building connecting part based on the second image;
and the second quality evaluation value determining module is used for determining a second quality evaluation value based on the fitting degree and the first quality evaluation value so as to evaluate the construction quality of the target construction area.
The present application may be further configured in a preferred example, wherein the first quality assessment value determining module, when executing the determination of the first quality assessment value based on the surface defect characteristic identification, is configured to:
determining crack size information in the building member and crack concentration in the building member aiming at the crack characteristic identifier, and determining a first dangerous value corresponding to the crack characteristic identifier based on the crack size information and the crack concentration; determining hole size information and hole depth values in the building component aiming at the hole feature identifiers, and determining second dangerous values corresponding to the hole feature identifiers based on the hole size information and the hole depth values;
the first quality assessment value is determined based on the first risk value and the second risk value.
The present application may be further configured in a preferred example, in which the engineering quality determining apparatus further includes:
the weight value determining module is used for:
acquiring first position information of a hole corresponding to the hole feature identifier, and acquiring second position information of a crack corresponding to the crack feature identifier;
acquiring environment information of the target construction area;
Determining a first weight value corresponding to the first position information and a second weight value corresponding to the second position information based on the environment information;
accordingly, the second quality assessment value determination module is configured to, when performing the determination of the first quality assessment value based on the first risk value and the second risk value:
the first quality assessment value is determined based on the first risk value, the first weight value, the second risk value, and the second weight value.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: performing the engineering quality determination method of any one of the first aspects.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the engineering quality determination method of any of the first aspects.
In summary, the present application includes the following beneficial technical effects:
when receiving an engineering quality monitoring request, acquiring a target image of a target construction area, and identifying and obtaining a first image of a building component and a second image of a building connection part; when the building element has more surface defects, the strength, the durability and the like of the building element can be influenced, and the quality of the building element is further influenced, so that the quality of the building element can be accurately evaluated according to the surface defects, and the building element is more intuitively represented in a first quality evaluation value form; determining the fitting degree of the building connection part according to the second image; when the quality of the building member is not in accordance with the requirements, the quality problems such as cracking deformation and the like of the building are possibly caused, and the laminating degree of the connecting part of the building influences the structural stability of the building, so that the accuracy of determining the construction quality is effectively improved by evaluating the construction quality according to the laminating degree and the first quality evaluation value.
Drawings
Fig. 1 is a schematic flow chart of an engineering quality determining method according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a fracture according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an engineering quality determining apparatus according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to fig. 1-4.
The present embodiment is merely illustrative of the present application and is not intended to be limiting, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as required, but is protected by patent laws within the scope of the present application.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application are clearly and completely described, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
The embodiment of the application provides an engineering quality determining method, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, which is not limited herein, and as shown in fig. 1, the method includes steps S101, S102, S103, and S104, where:
Step S101: when an engineering quality monitoring request is received, a target image of a target construction area is obtained, the target image is identified, and a first image of a building component and a second image of a building connection part of the target construction area are obtained.
Specifically, after receiving the monitoring request, a target image of the target construction area may be acquired. The electronic device is pre-integrated with a monitoring program for monitoring the triggering behavior of the monitoring request, and acquiring a target image of the target construction area once the monitoring request is monitored to be triggered. Specifically, when the supervisory personnel determines to monitor the construction, a monitoring request is automatically generated, wherein the monitoring confirmation mode may include that the supervisory personnel clicks a monitoring button on an application program to confirm the monitoring and confirms the monitoring through voice, and when the electronic equipment detects that the supervisory personnel triggers the monitoring request, the electronic equipment acquires a target image of a target construction area. In the embodiment of the application, a camera acquisition device carried on the unmanned aerial vehicle is used for acquiring a target image of a target construction area; the target construction area may be a whole construction area or a part of construction area. The electronic equipment controls the unmanned aerial vehicle carrying the camera shooting acquisition device to move, and the unmanned aerial vehicle carrying the camera shooting acquisition device acquires a target image and sends the target image to the electronic equipment. The electronic device stores first images corresponding to a plurality of preset building components, and matches the first images corresponding to the preset building components with the target images one by one, so that building components in the target images can be obtained, and in the embodiment of the application, the building components at least comprise: beams, columns, walls, floors, exterior wall tiles, roof panels, roof tiles, doors, windows, and the like. It will be appreciated that the target image may include a plurality of identical building elements for which identification may be automatically performed, e.g., wall number 1, wall number 2, etc. The building connection site may be a structural connection such as: beam-column connection and beam-beam connection; the pipeline connection, namely the connection between the pipelines; the connection of doors and windows and the connection of floors and walls can also be realized. And in the embodiments of the present application, the number of building elements and the number of building connection sites are plural.
Step S102: a first image is identified to determine a surface defect signature of the building element, and a first quality assessment value is determined based on the surface defect signature, the first quality assessment value being used to assess the quality of the building element.
Specifically, the surface defect feature identification corresponding surface defect features include: the crack characteristics and the hole characteristics can be determined by using a preset building member surface defect identification model, wherein the preset building member surface defect identification model is obtained by training a neural network model, and the specific training process of the building member surface defect identification model is not limited and can be set by a user. In the embodiment of the present application, the slit is in a strip shape with an irregular edge, and the hole may be in a shape corresponding to a circular shape or a large-area concave area with an irregular edge, and the slit shape is different from the hole shape, as shown in fig. 2, which is a schematic view of the slit provided in the embodiment of the present application; further, for a specific implementation of determining the first quality assessment value, reference may be made to the following embodiments; it will be appreciated that when the surface defect features of the building element are more, the lower the quality of the building element, i.e. the lower the corresponding first quality assessment value, is indicated. Wherein the first quality assessment value may be in the form of a score.
Step S103: and determining the fitting degree of the building connection part based on the second image.
Specifically, the second image is identified to determine gap information of the building connection site, the gap information including: the presence of a gap, the width of the gap and the absence of a gap; when no gap exists, the fit may be 100%; when gaps exist, the actual gap width can be determined according to the camera scale of the camera acquisition device carried by the unmanned aerial vehicle and the distance between the unmanned aerial vehicle position and the building connection position, the preset maximum gap width threshold corresponding to the building connection position is screened out from the preset laminating degree database, whether the actual gap width is not larger than the preset maximum gap width threshold is judged, if yes, the laminating degree is calculated,otherwise, a first alarm reminding signal is generated to remind relevant technicians that a large gap exists at a building connection position, and the execution of the continuous judgment of the construction quality is stopped, and the preset maximum gap width threshold value can be input into the electronic equipment in advance by the supervisory personnel.
Step S104: and determining a second quality evaluation value based on the fit degree and the first quality evaluation value to evaluate the construction quality of the target construction area.
Specifically, for a specific implementation of determining the second quality evaluation value based on the fit degree and the first quality evaluation value, reference may be made to the following embodiments; in the construction of a building, the building element and the building connection part are both important components of the construction project and directly affect the construction quality, so that a more accurate second quality evaluation value can be obtained from the building element and the building connection part.
In the embodiment of the application, when an engineering quality monitoring request is received, a target image of a target construction area is acquired, and a first image of a building component and a second image of a building connection part are identified; when the building component has more surface defects, the strength, the durability and the like of the building component can be influenced, and the quality of the building component is further influenced, so that the accurate assessment of the quality of the building component can be realized according to the surface defects; determining the fitting degree of the building connection part according to the second image; when the quality of the building member is not in accordance with the requirements, the quality problems such as cracking deformation and the like of the building can be caused, and the laminating degree of the connecting part of the building affects the structural stability of the building, so that the accuracy of determining the construction quality is effectively improved by evaluating the construction quality according to the laminating degree and the first quality evaluation value.
In one possible implementation manner of the embodiment of the present application, the surface defect feature identifier at least includes: the step S102 of determining the first quality assessment value based on the surface defect feature identifier may specifically include: aiming at the crack characteristic identification, determining crack size information in the building member and crack concentration in the building member, and determining a first dangerous value corresponding to the crack characteristic identification based on the crack size information and the crack concentration;
determining hole size information and hole depth values in the building component for the hole feature identifiers, and determining a second hazard value generated by the hole feature identifiers based on the hole size information and the hole depth values;
a first quality assessment value is determined based on the first risk value and the second risk value.
Specifically, the fracture size information includes: the length of the slit and the width of the slit; the crack density is the number of cracks in a preset area, the preset area is preset according to working experience and is input into the electronic equipment, the embodiment of the application is not limited any more, and the crack density is further determined according to the preset area and the number of cracks in the preset area; the greater the first hazard value, the poorer the engineering quality. The fracture size information may be determined based on image recognition algorithms, such as: mask R-CNN (Mask Region-based Convolutional Neural Network based on Mask), PSPNet (pyramid scene analysis network Pyramid Scene Parsing Network), etc., the embodiment of the present application does not limit a specific image recognition algorithm, and a user can set the image recognition algorithm by himself. Further, the target first sub-risk value may be determined according to a corresponding relationship between the preset target fracture size information and the first sub-risk value, and it may be understood that the target fracture size information is a fracture perimeter corresponding to the fracture size information, that is, when the fracture perimeter is larger, it indicates that the fracture has a longer or wider feature; determining a target second sub-risk value corresponding to the fracture density according to the corresponding relation between the preset fracture density and the second sub-risk value; the corresponding relation between the preset target fracture size information and the first sub-dangerous value, and the corresponding relation between the preset fracture density and the second sub-dangerous value are set by related technicians according to working experience and are input into the electronic equipment, and then the first dangerous value=the first sub-dangerous value+the second sub-dangerous value; the hole size information may be the area of the hole, and the hole depth value is the distance extending to the inside of the building member from the hole opening; when the second risk value is larger, the construction quality is worse, and the corresponding second quality evaluation value may be smaller. The determining mode of the hole size information is the same as that of the crack size information, and the embodiment of the application is not limited any more and can be set by a user. The hole depth value can be determined by constructing a three-dimensional model, and the accuracy of determining the hole depth value can be effectively improved by determining the three-dimensional model. Further, a third sub-risk value corresponding to the hole size information is determined according to the corresponding relation between the preset hole size information and the third sub-risk value, and a fourth sub-risk value corresponding to the hole depth value is determined according to the corresponding relation between the preset hole depth value and the fourth sub-risk value, and then the second risk value=the third sub-risk value+the fourth sub-risk value. It will be appreciated that the larger the hole size information, the larger the corresponding third sub-risk value, and the larger the hole depth value, the larger the corresponding fourth sub-risk value. An average risk value may be determined from the first risk value and the second risk value to determine a first quality assessment value from the average risk value; or selecting a value corresponding to the maximum risk value from the first risk value and the second risk value to determine the first quality assessment value. In the embodiment of the present application, the first quality assessment value is preferably determined according to the average risk value, so as to implement comprehensive consideration. And determining a first quality evaluation value according to the corresponding relation between the average risk value and the first quality evaluation value, wherein the corresponding relation between the average risk value and the first quality evaluation value is obtained according to working experience, and the method specifically comprises the following steps: the quality of the plurality of historical building components is evaluated by professional quality evaluation personnel to obtain historical first quality evaluation values corresponding to the plurality of historical building components, average danger values corresponding to the plurality of historical building components are obtained from electronic equipment, and then the average danger value corresponding to each historical first quality evaluation value can be determined, and the corresponding relation between the first quality evaluation value and the average danger value can be obtained.
Further, before calculating the first dangerous value, the electronic device judges whether the crack size is not smaller than a preset crack standard size threshold value and whether the crack density is not smaller than a preset crack density threshold value according to the size of each crack; if the size of any crack is not smaller than the preset crack standard size threshold value, or the crack concentration is not smaller than the preset crack concentration threshold value, the electronic equipment generates second alarm prompt information to remind relevant technicians of the serious crack problem of the building component; the preset fracture standard size threshold comprises: the preset fracture standard width and the preset fracture standard length are input into the electronic equipment in advance.
Before calculating the second dangerous value, the electronic equipment judges whether the size of each hole is not smaller than a preset standard hole size threshold value or not and whether the depth value of each hole is not smaller than a preset hole depth value threshold value or not; if it is determined that the size of any hole is not smaller than the preset standard hole size threshold value or the depth value of any hole is not smaller than the preset hole depth value threshold value, the electronic equipment generates third alarm prompt information to remind relevant technicians of the serious hole problem of the building component. And when the electronic equipment generates any alarm prompting signal, stopping executing the calculation of the first quality evaluation value. It will be appreciated that determining prior to calculating the first and second hazard values may avoid problems with efficiency degradation caused by continued calculation of building elements having severe crack features and/or hole features. The preset standard hole size threshold and the preset hole depth value threshold are set based on working experience and are input in advance.
In the embodiment of the application, the crack characteristics and the hole characteristics are main factors influencing the quality of the building member, and when the cracks are larger, the higher the crack concentration is, the worse the quality of the building member is indicated, and the higher the probability of safety accidents in building construction and subsequent use is, so that a more accurate first dangerous value can be obtained according to the crack size information and the crack concentration; when the hole size in the building component is larger, the hole depth value is larger, the building component is more easy to corrode, so that a second dangerous value generated aiming at the hole characteristics is determined according to the hole size information and the hole depth value, and the accuracy of determining the second dangerous value is effectively improved; and comprehensively evaluating the first quality evaluation value of the building component according to the accurate first risk value and the second risk value so as to realize accurate judgment of the first quality evaluation value of the building component.
In one possible implementation manner of this embodiment of the present application, the building element includes a plurality of holes and a plurality of cracks, and before determining the first quality assessment value based on the first risk value and the second risk value, step S102 further includes:
acquiring first position information of a crack corresponding to the crack characteristic identifier, and acquiring second position information of a hole corresponding to the hole characteristic identifier;
Acquiring environment information of a target construction area;
determining a first weight value corresponding to the first position information and a second weight value corresponding to the second position information based on the environment information; accordingly, determining a first quality assessment value based on the first risk value and the second risk value, comprising:
a first quality assessment value is determined based on the first risk value, the first weight value, the second risk value, and the second weight value.
Specifically, the location information may be latitude and longitude; the unmanned aerial vehicle can automatically calibrate the first position information corresponding to each crack and the second position information corresponding to each hole when shooting images. The acquired target image of the target construction area may be matched with a preset BIM (building information Building Information Modeling) model to enable the electronic device to acquire the environmental information. The environment information includes: it will be appreciated that there may be at least two environments, namely an underwater ground environment, a land underground environment and an above-ground environment, whether residential or bridge construction, and that the effects of the fissures and holes of the building elements are different in different environments, for example, when the environment information corresponding to the target construction area is the land underground environment, the environment in which the building elements are located is more humid, the deformation speed is faster, the lifetime is shorter, and the weight values corresponding to the different location information are also different. Further, each environment information and a plurality of corresponding relations, which are corresponding relations between the position information and the weight value, namely, the first position, may be determined from the first preset database The corresponding relation between the information and the first weight value, and the corresponding relation between the second position information and the second weight value, namely the first weight value of the first danger value and the second weight value of the second danger value; the correspondence between the first position information and the first weight value and the correspondence between the second position information and the second weight value are preset. The first quality assessment value may be determined according to a calculation formula: and determining a first quality evaluation value according to the corresponding relation between the average risk value and the first quality evaluation value.
In the embodiment of the application, the cracks and holes in different environments can cause different damage speeds of building components, so that the first position information of the cracks, the second position information of the holes and the environment information of a target construction area need to be acquired, the weight corresponding to the position information is determined according to the environment information and the position information, and the first quality evaluation value is determined according to the first danger value, the first weight value, the second danger value and the second weight value, so that the accuracy of determining the first quality evaluation value is effectively improved.
In one possible implementation manner of the embodiment of the present application, step S102 of determining a hole depth value in a building element may specifically include:
Identifying the first image to determine boundary contour information and color depth values of the holes corresponding to the hole feature identifiers;
determining point cloud data of the hole based on the boundary contour information and the color depth value;
performing plane fitting on the point cloud data to obtain a fitted hole plane, and filling the fitted hole plane to generate a three-dimensional model of the hole;
and determining a hole depth value based on the stereoscopic model.
Specifically, the boundary contour information is the pixel values of all pixel points on the boundary contour, the color depth value is the bit number used for storing each pixel, the acquisition of the boundary contour information can be realized from a preset first image database, and the color depth value can be acquired from the metadata of the first image.
Based on the boundary contour information and the color depth value, the method for determining the point cloud data of the hole comprises the following specific steps:
converting the boundary contour information into data to obtain a first coordinate and a second coordinate in point cloud data of the hole;
determining a third coordinate in the point cloud data of the hole based on the color depth value, and forming the point cloud data based on the first coordinate, the second coordinate and the third coordinate;
the boundary profile information can be converted into a first coordinate and a second coordinate by a mapping function method or a matrix conversion method, and it can be understood that the point cloud data comprise numerical values respectively corresponding to an x axis, a y axis and a z axis, the first coordinate is a coordinate corresponding to the x axis, and the second coordinate is a coordinate corresponding to the y axis; fitting of the first coordinate and the second coordinate can be achieved by using a plane fitting method, so that a fitted hole plane is obtained; and the hole planes may be filled using a polygon filling algorithm or a voxelization method to generate a three-dimensional model of the hole. According to the three-dimensional model of the hole, selecting a plane in which the hole opening is positioned, taking the plane as a starting point, selecting the deepest part of the bottom surface of the hole from the three-dimensional model as an ending point, and taking a value corresponding to the distance between the starting point and the ending point as a hole depth value.
In the embodiment of the application, the boundary information and the color depth value of the hole are obtained, the boundary contour information is converted to obtain the first coordinate and the second coordinate, then the third coordinate of the point cloud data is determined according to the color depth value, the point cloud data is determined from different dimensions, and the three-dimensional model is determined according to the point cloud data, so that the accuracy of constructing the three-dimensional model is effectively improved; and then determining the hole depth value according to the three-dimensional model, wherein the shape of the hole can be accurately restored based on the three-dimensional model compared with the method determined by a two-dimensional image analysis method, so that the accuracy of determining the hole depth value is effectively improved.
In one possible implementation manner of the embodiment of the present application, step S102 may specifically include:
acquiring a class to which the quality evaluation corresponding to the second quality evaluation value belongs and first working attributes corresponding to all building components, wherein the first working attributes represent functions of the building components;
determining, for each building element, a third weight value of the first quality assessment value based on the first operating attribute of the building element and the category to which the quality assessment belongs;
acquiring a second working attribute of the building connection part, and determining a fourth weight value of the fitting degree based on the class to which the second working attribute and the quality evaluation belong, wherein the second working attribute represents the function of the building connection part;
The second quality assessment value is determined based on the fit, the fourth weight value of the fit, the first quality assessment value, and the third weight value of the first quality assessment value.
Specifically, the electronic device sends a plurality of options to the related personnel, and the related personnel determines the category to which the quality assessment corresponding to the second quality assessment value belongs by clicking the options, so that the electronic device obtains the category to which the quality assessment belongs, and in the embodiment of the application, the category to which the quality assessment belongs at least includes: structural construction quality, process construction quality and the like; the functions of the different building elements are different, and the corresponding first working properties are also different, and in this embodiment of the application, the first working properties at least include: connection properties, support properties, waterproof properties, insulation properties, etc. Screening a plurality of corresponding relations from a preset corresponding relation database, wherein the preset corresponding relation database stores a plurality of quality assessment belonging categories and corresponding relations respectively, and each quality assessment belonging category comprises: the corresponding relation between the first working attribute and the third weight value and the corresponding relation between the second working attribute and the fourth weight value can further determine the third weight value corresponding to the first working attribute, namely the third weight value of the first quality evaluation value. It will be appreciated that when the quality assessment is of a different category, the first operating attribute of the building element has a different impact on the construction quality assessment; for example, when the structural quality of the building construction is judged, the influence of the surface defect characteristics of the building element having the waterproof property on the structural quality is small, and thus the corresponding third weight value is also small. The corresponding relations are set by related technicians according to working experience and are input into the electronic equipment in advance. In an embodiment of the present application, the second operational attribute of the building connection site includes: structural and decorative connections; after the electronic equipment determines all building connection parts in the target construction area, all building connection parts are sent to the user side equipment, relevant personnel fill in or select second working attributes corresponding to each building connection part in the user side equipment, and the second working attributes are sent to the electronic equipment, so that the electronic equipment can acquire the second working attributes. Further, a corresponding fourth weight value may be determined from the preset correspondence database; it will be appreciated that when the quality assessment is still of structural quality, then the second operational attribute is that the degree of fit of the decorative connection to the architectural connection is less, and thus the corresponding fourth weight value is also less. The second quality assessment value may be determined according to a calculation formula: second quality assessment value = first quality assessment value + third weight value + fitting degree + fourth weight value.
In the embodiment of the application, when construction projects are evaluated from different quality dimensions, building components with different working properties act differently, so that the category to which the quality evaluation corresponding to the second quality evaluation value belongs and the first working property of the building components are obtained, and the third weight value of the first quality evaluation value is determined according to the first working property and the category to which the quality evaluation belongs, so that the importance of the building components under different quality dimensions can be accurately determined; when the second working attributes of different building connection parts are different, the weight values under different quality evaluation dimensions are also different, so that the second working attributes of the building connection parts are obtained, and a fourth weight value of the fitting degree is determined according to the second working attributes and the category to which the quality evaluation belongs; and determining a second quality evaluation value according to the first quality evaluation value, the third weight value, the fitting degree and the fourth weight value, so that the accuracy of the second quality evaluation value is effectively improved.
The above embodiment describes an engineering quality determining method from the viewpoint of a method flow, and the following embodiment describes an engineering quality determining apparatus from the viewpoint of a virtual module or a virtual unit, specifically the following embodiment.
The embodiment of the application provides an engineering quality determining device, as shown in fig. 3, the engineering quality determining device may specifically include:
the target image acquisition module 201 is configured to acquire a target image of a target construction area when receiving an engineering quality monitoring request, and identify the target image to obtain a first image of a building member and a second image of a building connection part of the target construction area;
a first quality assessment value determination module 202 for identifying a first image to determine a surface defect signature of the building element and determining a first quality assessment value based on the surface defect signature, the first quality assessment value for assessing the quality of the building element;
a fitting degree determining module 203, configured to determine a fitting degree of the building connection part based on the second image;
and a second quality evaluation value determination module 204 for determining a second quality evaluation value based on the fit degree and the first quality evaluation value to evaluate the construction quality of the target construction area.
In one possible implementation manner of the embodiment of the present application, the first quality assessment value determining module 202 is configured to, when executing the determination of the first quality assessment value based on the surface defect feature identifier:
Aiming at the crack characteristic identification, determining crack size information in the building member and crack concentration in the building member, and determining a first dangerous value corresponding to the crack characteristic identification based on the crack size information and the crack concentration;
determining hole size information and hole depth values in the building component aiming at the hole feature identifiers, and determining second dangerous values corresponding to the hole feature identifiers based on the hole size information and the hole depth values;
a first quality assessment value is determined based on the first risk value and the second risk value.
In one possible implementation manner of the embodiment of the present application, the engineering quality determining apparatus further includes:
the weight value determining module is used for:
acquiring first position information of a hole corresponding to the hole characteristic identifier, and acquiring second position information of a crack corresponding to the crack characteristic identifier;
acquiring environment information of a target construction area;
determining a first weight value corresponding to the first position information and a second weight value corresponding to the second position information based on the environment information; accordingly, the second quality assessment value determination module, when executing the determination of the first quality assessment value based on the first risk value and the second risk value, is configured to:
A first quality assessment value is determined based on the first risk value, the first weight value, the second risk value, and the second weight value.
In one possible implementation manner of the embodiment of the present application, the engineering quality determining apparatus further includes:
the hole depth value determining module is used for:
identifying the first image to determine boundary contour information and color depth values of the holes corresponding to the hole feature identifiers;
determining point cloud data of the hole based on the boundary contour information and the color depth value;
performing plane fitting on the point cloud data to obtain a fitted hole plane, and filling the fitted hole plane to generate a three-dimensional model of the hole;
and determining a hole depth value based on the stereoscopic model.
In one possible implementation manner of the embodiment of the present application, the second quality evaluation value determining module 204 is configured to, when executing the determination of the second quality evaluation value based on the fit degree and the first quality evaluation value:
acquiring a class to which the quality assessment corresponding to the second quality assessment value belongs and a first working attribute corresponding to the building component, wherein the first working attribute characterizes the function of the building component;
determining, for each building element, a third weight value of the first quality assessment value based on the first operating attribute of the building element and the category to which the quality assessment belongs;
Acquiring a second working attribute of the building connection part, and determining a fourth weight value of the fitting degree based on the class to which the second working attribute and the quality evaluation belong, wherein the second working attribute represents the function of the building connection part;
the second quality assessment value is determined based on the fit, the fourth weight value of the fit, the first quality assessment value, and the third weight value of the first quality assessment value.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, a specific working process of the engineering quality determining apparatus described above may refer to a corresponding process in the foregoing method embodiment, which is not described herein again.
In an embodiment of the present application, as shown in fig. 4, an electronic device shown in fig. 4 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device is not limited to the embodiments of the present application.
The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.
The present application provides a computer readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method of determining engineering quality, comprising:
when an engineering quality monitoring request is received, acquiring a target image of a target construction area, and identifying the target image to obtain a first image of a building member and a second image of a building connection part of the target construction area;
identifying the first image, determining a surface defect feature identification of the building element, and determining a first quality assessment value based on the surface defect feature identification, the first quality assessment value being used to assess the quality of the building element;
determining the fitting degree of the building connection part based on the second image;
and determining a second quality evaluation value based on the fit degree and the first quality evaluation value to evaluate the construction quality of the target construction area.
2. The engineering quality determination method according to claim 1, wherein the surface defect feature identification at least includes: the crack characteristic identification and the hole characteristic identification, the determining a first quality assessment value based on the surface defect characteristic identification comprises:
Determining crack size information in the building member and crack concentration in the building member aiming at the crack characteristic identifier, and determining a first dangerous value corresponding to the crack characteristic identifier based on the crack size information and the crack concentration;
determining hole size information and hole depth values in the building component aiming at the hole feature identifiers, and determining second dangerous values corresponding to the hole feature identifiers based on the hole size information and the hole depth values;
the first quality assessment value is determined based on the first risk value and the second risk value.
3. The engineering quality determination method according to claim 2, wherein before the determination of the first quality evaluation value based on the first risk value and the second risk value, further comprising:
acquiring first position information of a crack corresponding to the crack characteristic identifier, and acquiring second position information of a hole corresponding to the hole characteristic identifier;
acquiring environment information of the target construction area;
determining a first weight value corresponding to the first position information and a second weight value corresponding to the second position information based on the environment information;
Accordingly, the determining the first quality assessment value based on the first risk value and the second risk value includes:
the first quality assessment value is determined based on the first risk value, the first weight value, the second risk value, and the second weight value.
4. The engineering quality determination method according to claim 2, wherein determining the hole depth value in a building element comprises:
identifying the first image to determine boundary contour information and color depth values of holes corresponding to the hole feature identifiers;
determining point cloud data of the hole based on the boundary contour information and the color depth value;
performing plane fitting on the point cloud data to obtain a fitted hole plane, and filling the fitted hole plane to generate a three-dimensional model of the hole;
and determining the hole depth value based on the stereoscopic model.
5. The engineering quality determination method according to claim 1, wherein the determining a second quality evaluation value based on the fit degree and the first quality evaluation value includes:
acquiring a class to which a quality assessment corresponding to a second quality assessment value belongs and a first working attribute corresponding to the building component, wherein the first working attribute characterizes the function of the building component;
Determining, for the first quality assessment value for each building element, a third weight value for the first quality assessment value based on the first operating attribute and the class to which the quality assessment belongs for the building element;
acquiring a second working attribute of the building connection part, and determining a fourth weight value of the fitting degree based on the category to which the second working attribute and the quality evaluation belong, wherein the second working attribute characterizes the function of the building connection part;
the second quality assessment value is determined based on the fit, a fourth weight value for the fit, the first quality assessment value, and a third weight value for the first quality assessment value.
6. An engineering quality determining apparatus, comprising:
the target image acquisition module is used for acquiring a target image of a target construction area when receiving an engineering quality monitoring request, and identifying the target image to obtain a first image of a building member and a second image of a building connection part of the target construction area;
a first quality assessment value determination module for identifying the first image, determining a surface defect feature identification of the building element, and determining a first quality assessment value based on the surface defect feature identification, the first quality assessment value for assessing a quality of the building element;
The laminating degree determining module is used for determining the laminating degree of the building connecting part based on the second image;
and the second quality evaluation value determining module is used for determining a second quality evaluation value based on the fitting degree and the first quality evaluation value so as to evaluate the construction quality of the target construction area.
7. The engineering quality determination apparatus of claim 6 wherein the first quality assessment value determination module, when performing the determination of the first quality assessment value based on the surface defect signature, is to:
determining crack size information in the building member and crack concentration in the building member aiming at the crack characteristic identifier, and determining a first dangerous value corresponding to the crack characteristic identifier based on the crack size information and the crack concentration;
determining hole size information and hole depth values in the building component aiming at the hole feature identifiers, and determining second dangerous values corresponding to the hole feature identifiers based on the hole size information and the hole depth values;
the first quality assessment value is determined based on the first risk value and the second risk value.
8. The engineering quality determination apparatus of claim 6, further comprising:
the weight value determining module is used for:
acquiring first position information of a hole corresponding to the hole feature identifier, and acquiring second position information of a crack corresponding to the crack feature identifier;
acquiring environment information of the target construction area;
determining a first weight value corresponding to the first position information and a second weight value corresponding to the second position information based on the environment information;
accordingly, the second quality assessment value determination module is configured to, when performing the determination of the first quality assessment value based on the first risk value and the second risk value:
the first quality assessment value is determined based on the first risk value, the first weight value, the second risk value, and the second weight value.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: an engineering quality determination method according to any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when executed in a computer, causes the computer to perform the engineering quality determination method of any of claims 1 to 5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117726239A (en) * | 2024-02-18 | 2024-03-19 | 温州市建设工程咨询有限公司 | Engineering quality acceptance actual measurement method and system |
| CN117726239B (en) * | 2024-02-18 | 2024-04-30 | 温州市建设工程咨询有限公司 | Engineering quality acceptance actual measurement method and system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117726239A (en) * | 2024-02-18 | 2024-03-19 | 温州市建设工程咨询有限公司 | Engineering quality acceptance actual measurement method and system |
| CN117726239B (en) * | 2024-02-18 | 2024-04-30 | 温州市建设工程咨询有限公司 | Engineering quality acceptance actual measurement method and system |
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