A method, device, equipment and medium for determining engineering quality

Abstract

The present application relates to the field of image analysis, and in particular to a method, device, equipment and medium for determining project quality, the method comprising: when receiving a project quality monitoring request, obtaining a target image of a target construction area, and identifying the target image to obtain a first image of a building component in the target construction area and a second image of a building connection part; identifying the first image to determine a surface defect feature identifier of the building component, and determining a first quality assessment value based on the surface defect feature identifier, the first quality assessment value being used to assess the quality of the building component; determining the fit of the building connection part based on the second image; determining a second quality assessment value based on the fit and the first quality assessment value, the second quality assessment value being used to assess the construction quality of the target construction area. The present application can more accurately determine the project quality.

Description

Technical Field

[0001] The present application relates to the technical field of image analysis, and in particular to a method, device, equipment and medium for determining engineering quality. Background Art

[0002] The development of cities and social progress are inseparable from the development of the construction industry, and in the development of the construction industry, construction project management plays an important role. Construction quality management is an important part of construction. By managing construction projects, it can not only ensure that the construction unit can build projects that comply with national laws and regulations, and improve the applicability and reliability of construction projects, but also maximize the safety of people's lives and property. It can be seen that quality management plays an important role in construction.

[0003] The relevant technology will collect the construction behavior images of the construction workers at the construction site, and analyze and judge the construction behavior of the construction workers in the construction behavior images. When the construction behavior of the construction workers does not meet the construction specifications, such as not installing the components in the correct position, not pouring the concrete evenly in the designated position, resulting in uneven thickness in some areas, etc., the project quality will be judged as poor. However, the construction behavior of the construction workers is accidental during the construction process, that is, the construction behavior may be non-standard at a certain moment. At this time, directly analyzing the above images will obtain the judgment result of poor construction quality. It can be seen that the accuracy of determining the project quality based on the construction behavior of the construction workers is poor. Summary of the invention

[0004] In order to accurately determine the quality of a project, the present application provides a method, device, equipment and medium for determining the quality of a project.

[0005] In the first aspect, the present application provides a method for determining engineering quality, which adopts the following technical solution:

[0006] A method for determining engineering quality, comprising:

[0007] When a project quality monitoring request is received, a target image of a target construction area is acquired, and the target image is recognized to obtain a first image of building components and a second image of building connection parts of the target construction area;

[0008] Recognize the first image to determine a surface defect feature identifier of the building component, and determine a first quality assessment value based on the surface defect feature identifier, wherein the first quality assessment value is used to assess the quality of the building component;

[0009] Determining the fit of the building connection part based on the second image;

[0010] Based on the fit degree and the first quality assessment value, a second quality assessment value is determined to assess the construction quality of the target construction area.

[0011] In a preferred example, the present application may be further configured as follows: the surface defect feature identifier at least includes: a crack feature identifier and a hole feature identifier, and the determining of the first quality assessment value based on the surface defect feature identifier includes: determining the crack size information in the building component and the crack density in the building component for the crack feature identifier, and determining the first danger value corresponding to the crack feature identifier based on the crack size information and the crack density; determining the hole size information and the hole depth value in the building component for the hole feature identifier, and determining the second danger value corresponding to the hole feature identifier based on the hole size information and the hole depth value;

[0012] The first quality assessment value is determined based on the first risk value and the second risk value.

[0013] In a preferred example, the present application may be further configured as follows: before determining the first quality assessment value based on the first risk value and the second risk value, the method further includes:

[0014] Acquire first position information of a crack corresponding to the crack feature identifier, and acquire second position information of a hole corresponding to the hole feature identifier;

[0015] Acquiring environmental information of the target construction area;

[0016] Based on the environmental information, determining a first weight value corresponding to the first location information and a second weight value corresponding to the second location information;

[0017] Correspondingly, determining the first quality assessment value based on the first risk value and the second risk value includes: determining the first quality assessment value based on the first risk value, the first weight value, the second risk value and the second weight value.

[0018] In a preferred example, the present application can be further configured to determine the hole depth value in the building component, including:

[0019] Identify the first image to determine the boundary contour information and color depth value of the hole corresponding to the hole feature identifier;

[0020] Determining point cloud data of the hole based on the boundary contour information and the color depth value;

[0021] 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;

[0022] The hole depth value is determined based on the three-dimensional model.

[0023] In a preferred example, the present application may be further configured as follows: determining a second quality evaluation value based on the fit degree and the first quality evaluation value includes:

[0024] Obtaining a quality assessment category corresponding to the second quality assessment value and a first working attribute corresponding to the building component, wherein the first working attribute represents a function of the building component;

[0025] For each of the first quality assessment values ​​of the building components, determine a third weight value of the first quality assessment value based on the first working attribute of the building component and the category to which the quality assessment belongs;

[0026] Acquire a second working attribute of the building connection part, and determine a fourth weight value of the fit based on the second working attribute and the category to which the quality assessment belongs, wherein the second working attribute represents a function of the building connection part;

[0027] The second quality evaluation value is determined based on the fit degree, a fourth weight value of the fit degree, the first quality evaluation value, and a third weight value of the first quality evaluation value.

[0028] In a second aspect, the present application provides a process monitoring device, which adopts the following technical solution:

[0029] An engineering supervision device, comprising:

[0030] A target image acquisition module is used to acquire a target image of a target construction area when receiving a project quality monitoring request, and to identify the target image to obtain a first image of a building component in the target construction area and a second image of a building connection part;

[0031] A first quality assessment value determination module, configured to identify the first image to determine a surface defect feature identifier of the building component, and determine a first quality assessment value based on the surface defect feature identifier, wherein the first quality assessment value is used to assess the quality of the building component;

[0032] A fit determination module, configured to determine the fit of the building connection portion based on the second image;

[0033] The second quality assessment value determination module is used to determine a second quality assessment value based on the fit degree and the first quality assessment value to evaluate the construction quality of the target construction area.

[0034] In a preferred example, the present application may be further configured such that, when the first quality assessment value determination module determines the first quality assessment value based on the surface defect feature identifier, it is used to:

[0035] For the crack feature identifier, determine the crack size information and the crack density in the building component, and determine a first hazard value corresponding to the crack feature identifier based on the crack size information and the crack density; for the hole feature identifier, determine the hole size information and the hole depth value in the building component, and determine a second hazard value corresponding to the hole feature identifier based on the hole size information and the hole depth value;

[0036] The first quality assessment value is determined based on the first risk value and the second risk value.

[0037] In a preferred example, the present application can be further configured as a device for determining engineering quality, further comprising:

[0038] The weight value determination module is used to:

[0039] Acquire first position information of a hole corresponding to the hole feature identifier, and acquire second position information of a crack corresponding to the crack feature identifier;

[0040] Acquiring environmental information of the target construction area;

[0041] Based on the environmental information, determining a first weight value corresponding to the first location information and a second weight value corresponding to the second location information;

[0042] Accordingly, when determining the first quality assessment value based on the first risk value and the second risk value, the second quality assessment value determination module is used to:

[0043] 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.

[0044] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0045] at least one processor;

[0046] Memory;

[0047] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the engineering quality determination method as described in any one of the first aspects.

[0048] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0049] A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute the engineering quality determination method as described in any one of the first aspects.

[0050] In summary, this application includes the following beneficial technical effects:

[0051] When a project quality monitoring request is received, a target image of a target construction area is obtained, and a first image of a building component and a second image of a building connection are identified; when a building component has many surface defects, the strength and durability of the building component may be affected, thereby affecting the quality of the building component. Therefore, an accurate assessment of the quality of the building component can be achieved based on the surface defects, which is more intuitively expressed in the form of a first quality assessment value; and the fit of the building connection is determined based on the second image; when the quality of the building component does not meet the requirements, it may cause quality problems such as cracking and deformation of the building, and the fit of the building connection affects the structural stability of the building. Therefore, the construction quality is evaluated based on the fit and the first quality assessment value to effectively improve the accuracy of determining the construction quality. Compared with the related art, the construction quality is determined only from a single indirect influencing factor, that is, the construction behavior of the construction personnel. The purpose of determining the construction quality based on the direct factors affecting the quality of the building construction, that is, the building components and the building connection parts are comprehensively considered, thereby achieving the technical effect of improving the accuracy of determining the construction quality and solving the problem of low accuracy in determining the construction quality in the related art. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A flowchart of a method for determining engineering quality provided in an embodiment of the present application.

[0053] Figure 2 A schematic diagram of a crack provided in an embodiment of the present application.

[0054] Figure 3 A schematic diagram of the structure of a device for determining engineering quality provided in an embodiment of the present application.

[0055] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The following is combined with Figure 1 To Attachment Figure 4 This application is described in further detail.

[0057] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, a person skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by the patent law as long as they are within the scope of the present application.

[0058] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0059] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0060] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0061] The embodiment of the present application provides a method for determining the quality of an engineering project, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 1 As shown, the method includes step S101, step S102, step S103 and step S104, wherein:

[0062] Step S101: when a project quality monitoring request is received, a target image of a target construction area is acquired, and the target image is recognized to obtain a first image of building components in the target construction area and a second image of building connection parts.

[0063] Specifically, it can be that after receiving the monitoring request, the target image of the target construction area is obtained. The electronic device is pre-integrated with a monitoring program, which is used to monitor the triggering behavior of the monitoring request. Once the monitoring request is monitored to be triggered, the target image of the target construction area is obtained. Specifically, when the supervisor determines to monitor the construction, a monitoring request will be automatically generated, wherein the method of confirming the monitoring may include the supervisor confirming the monitoring by clicking the monitoring button on the application, confirming the monitoring by voice, and when the electronic device detects that the supervisor has triggered the monitoring request, the electronic device obtains the target image of the target construction area. In the embodiment of the present application, the target image of the target construction area is collected by the camera acquisition device carried by the drone; the target construction area can be the entire construction area or a part of the construction area. The electronic device controls the drone equipped with the camera acquisition device to move, and the drone equipped with the camera acquisition device collects the target image and sends the target image to the electronic device. The electronic device stores first images corresponding to a plurality of preset building components. The electronic device matches the first images corresponding to the plurality of preset building components with the target image one by one, and then obtains the building components in the target image. In the embodiment of the present application, the building components at least include beams, columns, walls, floor slabs, exterior wall bricks, roof panels, roof tiles, doors, windows, etc. It is understandable that the target image may include a plurality of identical building components. For the identical building components, they can be automatically labeled during identification, for example, wall No. 1, wall No. 2, etc. The building connection part can be a structural connection, such as a beam-column connection, a beam-beam connection; a pipe connection, that is, a connection between pipes; it can also be a connection between doors and windows, and a connection between floors and walls. In the embodiment of the present application, the number of building components and the number of building connection parts are both multiple.

[0064] Step S102: identifying the first image to determine the surface defect feature identifier of the building component, and determining a first quality assessment value based on the surface defect feature identifier, the first quality assessment value being used to assess the quality of the building component.

[0065] Specifically, the surface defect features corresponding to the surface defect feature identifier include: crack features and hole features, wherein the crack features and hole features can be determined using a preset building component surface defect recognition model, which is obtained by training a neural network model. The present application embodiment does not limit the specific training process of the building component surface defect recognition model, and the user can set it by himself. In the present application embodiment, the crack is a long strip with irregular edges, and the hole can be a shape corresponding to a circular or large-area concave area with irregular edges. The crack shape is different from the hole shape, such as Figure 2As shown, it is a schematic diagram of cracks provided in an embodiment of the present application; further, the specific implementation method of determining the first quality evaluation value can refer to the following embodiment; it can be understood that when the surface defect characteristics of the building component are more, it indicates that the quality of the building component is lower, that is, the corresponding first quality evaluation value is lower. Among them, the first quality evaluation value can be in the form of a score.

[0066] Step S103: Determine the fit of the building connection parts based on the second image.

[0067] Specifically, the second image is identified to determine the gap information of the building connection part, and the gap information includes: the existence of the gap and the width of the gap and the absence of the gap; when there is no gap, the fit can be 100%; when there is a gap, the actual gap width can be determined according to the camera scale of the camera acquisition device carried by the drone, the distance between the drone position and the building connection part, and the preset maximum gap width threshold corresponding to the above-mentioned building connection part is screened out from the preset fit database to determine whether the actual gap width is not greater than the preset maximum gap width threshold. If so, the fit is calculated. Otherwise, a first alarm reminder signal is generated to remind relevant technical personnel that there is a large gap in the building connection part and stop further judgment on the construction quality. The preset maximum gap width threshold can be pre-input into the electronic device by the supervisor.

[0068] Step S104: Based on the fit degree and the first quality evaluation value, a second quality evaluation value is determined to evaluate the construction quality of the target construction area.

[0069] Specifically, the specific implementation method of determining the second quality assessment value based on the fit and the first quality assessment value can refer to the following embodiment; in construction, building components and building connection parts are not only important components of the construction project, but also directly affect the construction quality. Therefore, a more accurate second quality assessment value can be obtained based on the building components and building connection parts.

[0070] In an embodiment of the present application, when a project 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 are identified; when a building component has many surface defects, the strength and durability of the building component may be affected, thereby affecting the quality of the building component, and thus the quality of the building component can be accurately evaluated based on the surface defects; and the fit of the building connection is determined based on the second image; when the quality of the building component does not meet the requirements, it may cause quality problems such as cracking and deformation of the building, and the fit of the building connection affects the structural stability of the building, and thus the construction quality is evaluated based on the fit and the first quality evaluation value to effectively improve the accuracy of determining the construction quality. Compared with the method of determining the construction quality only from the construction behavior of the construction personnel in the related art, the present application achieves the purpose of determining the construction quality based on the direct factors affecting the construction quality of the building, namely, the building components and the building connection parts, thereby achieving the technical effect of improving the accuracy of determining the construction quality and solving the problem of low accuracy in determining the construction quality in the related art.

[0071] In a possible implementation manner of the embodiment of the present application, the surface defect feature identifier includes at least: a crack feature identifier and a hole feature identifier, and step S102 determines the first quality assessment value based on the surface defect feature identifier, which may specifically include: determining the crack size information and the crack density in the building component for the crack feature identifier, and determining the first danger value corresponding to the crack feature identifier based on the crack size information and the crack density;

[0072] Determine hole size information and hole depth value in the building component for the hole feature identification, and determine a second hazard value generated by the hole feature identification based on the hole size information and the hole depth value;

[0073] Based on the first risk value and the second risk value, a first quality assessment value is determined.

[0074] Specifically, the crack size information includes: the length of the crack and the width of the crack; the crack density is the number of cracks within a preset area, the preset area is pre-set based on work experience and input into the electronic device, and the present application embodiment is no longer limited, and then the crack density is determined according to the preset area and the number of cracks within the preset area; the larger the first danger value, the worse the engineering quality. The crack size information can be determined based on an image recognition algorithm, such as: Mask R-CNN (Mask Region-based Convolutional Neural Network), PSPNet (Pyramid Scene Parsing Network), etc. The present application embodiment does not limit the specific image recognition algorithm, and the user can set it by himself. Further, the target first sub-hazard value can be determined according to the correspondence between the preset target crack size information and the first sub-hazard value. It can be understood that the above target crack size information is the crack perimeter corresponding to the above crack size information, that is, when the crack perimeter is larger, it indicates that the crack has the characteristics of being longer or wider; then according to the correspondence between the preset crack density and the second sub-hazard value, the target second sub-hazard value corresponding to the crack density is determined; the above preset correspondence between the target crack size information and the first sub-hazard value, and the preset correspondence between the crack density and the second sub-hazard value are all set by relevant technical personnel based on work experience and input into the electronic device, then the first hazard value = first sub-hazard value + second sub-hazard value; in the above hole size information, it can be the area of ​​the hole, and the hole depth value is the distance extending from the hole mouth to the inside of the building component; when the second hazard value is larger, the construction quality is worse, and the corresponding second quality assessment value may be smaller. Among them, the method for determining the hole size information is the same as the method for determining the size information of the above crack, and the embodiment of the present application is no longer limited, and the user can set it by himself. The hole depth value can be determined by constructing a three-dimensional model, and the accuracy of hole depth value determination can be effectively improved by determining the three-dimensional model. Further, the third sub-risk value corresponding to the hole size information is determined according to the correspondence between the preset hole size information and the third sub-risk value, and the fourth sub-risk value corresponding to the above hole depth value is determined according to the correspondence between the preset hole depth value and the fourth sub-risk value, then the second risk value = the third sub-risk value + the fourth sub-risk value. It can be understood that when the hole size information is larger, the corresponding third sub-risk value is larger, and when the hole depth value is larger, the corresponding fourth sub-risk value is larger. The average risk value can be determined according to the first risk value and the second risk value to determine the first quality assessment value according to the average risk value; or, the value corresponding to the maximum risk value is selected from the first risk value and the second risk value to determine the first quality assessment value. In the embodiment of the present application, preferably, the first quality assessment value is determined according to the average risk value to achieve comprehensive consideration. Then, the first quality assessment value is determined based on the correspondence between the average risk value and the first quality assessment value, wherein the correspondence between the average risk value and the first quality assessment value is obtained based on work experience, and specifically may include: professional quality assessors assess the quality of multiple historical building components to obtain historical first quality assessment values ​​corresponding to each of the multiple historical building components, and obtain the average risk value corresponding to each of the above-mentioned multiple historical building components from an electronic device, and then the average risk value corresponding to each historical first quality assessment value can be determined, and the correspondence between the first quality assessment value and the average risk value can be obtained.

[0075] Furthermore, before calculating the first danger value, the electronic device determines whether there is a crack size not less than a preset crack standard size threshold, and whether the crack density is not less than a preset crack density threshold based on the size of each crack; if it is determined that the size of any crack is not less than the preset crack standard size threshold, or the crack density is not less than the preset crack density threshold, the electronic device generates a second alarm prompt information to remind relevant technical personnel that there are serious crack problems in the building components; the above-mentioned preset crack standard size thresholds include: preset crack standard width and preset crack standard length, and both are pre-input into the electronic device.

[0076] Before calculating the second danger value, the electronic device determines whether the size of each hole is not less than the preset standard hole size threshold, and whether the depth value of each hole is not less than the preset hole depth value threshold; if it is determined that the size of any hole is not less than the preset standard hole size threshold, or the depth value of any hole is not less than the preset hole depth value threshold, the electronic device generates a third alarm prompt information to remind relevant technical personnel that there are serious hole problems in the building components. When the electronic device generates any of the above alarm prompt signals, the calculation of the first quality assessment value is stopped. It can be understood that making a judgment before calculating the first danger value and the second danger value can avoid the problem of reduced efficiency caused by continuing to calculate building components with serious crack characteristics and / or hole characteristics. The preset standard hole size threshold and the preset hole depth value threshold are set based on work experience and pre-entered.

[0077] In the embodiments of the present application, crack characteristics and hole characteristics are the main factors affecting the quality of building components. When the cracks are larger and the crack density is higher, it indicates that the quality of the building components is worse, and the probability of safety accidents occurring during construction and subsequent use is higher. Therefore, a more accurate first hazard value can be obtained based on the crack size information and the crack density. When the hole size in the building component is larger and the hole depth value is larger, the building component is more susceptible to corrosion. Therefore, the second hazard value generated for the hole characteristics is determined based on the hole size information and the hole depth value, so as to effectively improve the accuracy of determining the second hazard value. Then, the first quality assessment value of the building component is comprehensively evaluated based on the accurate first hazard value and the second hazard value, so as to achieve accurate determination of the first quality assessment value of the building component.

[0078] In a possible implementation of the embodiment of the present application, the building component includes a plurality of holes and a plurality of cracks. Before determining the first quality assessment value based on the first risk value and the second risk value in step S102, the following is further included:

[0079] Acquire first position information of a crack corresponding to the crack feature identifier, and acquire second position information of a hole corresponding to the hole feature identifier;

[0080] Obtain environmental information of the target construction area;

[0081] Based on the environmental information, determining a first weight value corresponding to the first location information and a second weight value corresponding to the second location information; correspondingly, based on the first hazard value and the second hazard value, determining a first quality assessment value, includes:

[0082] 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.

[0083] Specifically, the location information may be longitude and latitude; when the drone takes an image, it will automatically calibrate the first location information corresponding to each of the cracks and the second location information corresponding to each of the holes. The acquired target image of the target construction area may be matched with a preset BIM (Building Information Modeling) model so that the electronic device can obtain environmental information. Environmental information includes: underwater ground environment, land underground environment and ground environment. It is understandable that at least two of the above environments may exist in both residential construction and bridge construction. In different environments, the cracks and holes of building components have different effects. For example, when the environmental information corresponding to the target construction area is the land underground environment, the environment where the building components are located is more humid, the deformation speed is faster, and the life span is shorter. Therefore, the weight values ​​corresponding to different location information are also different. Further, each piece of environmental information and multiple corresponding relationships can be determined from the first preset database, each of which is a corresponding relationship between position information and a weight value, that is, a corresponding relationship between the first position information and the first weight value, and a corresponding relationship between the second position information and the second weight value, that is, a first weight value of the first danger value and a second weight value of the second danger value; the corresponding relationship between the first position information and the first weight value and the corresponding relationship between the second position information and the second weight value are pre-set. The first quality assessment value can be determined according to a calculation formula, which is: The first quality assessment value is then determined according to the corresponding relationship between the above average risk value and the first quality assessment value.

[0084] In the embodiment of the present application, cracks and holes in different environments will cause different damage rates of building components. Therefore, it is necessary to obtain the first position information of the cracks, the second position information of the holes, and the environmental information of the target construction area, and then determine the weight corresponding to the position information based on the environmental information and the position information, and then determine the first quality assessment value based on the first hazard value, the first weight value, the second hazard value and the second weight value, so as to effectively improve the accuracy of determining the first quality assessment value.

[0085] In a possible implementation of the embodiment of the present application, step S102 determines the hole depth value in the building component, which may specifically include:

[0086] Recognize the first image to determine the boundary contour information and color depth value of the hole corresponding to the hole feature identifier;

[0087] Based on the boundary contour information and color depth value, the point cloud data of the hole is determined;

[0088] Perform plane fitting on the point cloud data to obtain a fitted hole plane, and fill the fitted hole plane to generate a three-dimensional model of the hole;

[0089] Determine hole depth values ​​based on the stereo model.

[0090] Specifically, the boundary contour information is the pixel value of all pixels on the boundary contour, and the color depth value is the number of bits used to store each pixel. The boundary contour information can be obtained from a preset first image database, and the color depth value can be obtained from the metadata of the first image.

[0091] Based on the boundary contour information and color depth value, the possible ways to determine the point cloud data of the hole include:

[0092] The boundary contour information is converted into data to obtain the first coordinate and the second coordinate in the point cloud data of the hole;

[0093] Determine a third coordinate in the point cloud data of the hole based on the color depth value, and construct the point cloud data based on the first coordinate, the second coordinate, and the third coordinate;

[0094] The boundary contour information can be converted into the first coordinate and the second coordinate by a mapping function method or a matrix conversion method. It can be understood that the point cloud data includes the values ​​corresponding to the x-axis, y-axis and z-axis respectively, the first coordinate is the coordinate corresponding to the x-axis, and the second coordinate is the coordinate corresponding to the y-axis; the plane fitting method can be used to achieve the fitting of the first coordinate and the second coordinate to obtain the fitted hole plane; and the polygon filling algorithm or voxelization method can be used to fill the hole plane to generate a three-dimensional model of the hole. According to the three-dimensional model of the hole, select the plane where the hole mouth is located, and use the above plane as the starting point, and then select the deepest point of the bottom surface of the hole from the above three-dimensional model as the end point, and use the value corresponding to the distance between the starting point and the end point as the hole depth value.

[0095] In an embodiment of the present application, boundary information and color depth value of the hole are obtained, and the boundary contour information is converted to obtain a first coordinate and a second coordinate, and 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 a three-dimensional model is determined according to the point cloud data, so as to effectively improve the accuracy of constructing the three-dimensional model; then the hole depth value is determined according to the three-dimensional model. Compared with the determination through two-dimensional image analysis method, the shape of the hole can be accurately restored based on the three-dimensional model, so as to effectively improve the accuracy of determining the hole depth value.

[0096] In a possible implementation of the embodiment of the present application, step S102 determines the second quality evaluation value based on the fit degree and the first quality evaluation value, which may specifically include:

[0097] Obtaining a quality assessment category corresponding to the second quality assessment value and first working attributes corresponding to all building components, where the first working attributes represent functions of the building components;

[0098] For each first quality assessment value of a building component, determine a third weight value of the first quality assessment value based on the first working attribute of the building component and the category to which the quality assessment belongs;

[0099] Obtaining a second working attribute of the building connection part, and determining a fourth weight value of the fit based on the second working attribute and the category to which the quality assessment belongs, wherein the second working attribute represents a function of the building connection part;

[0100] The second quality evaluation value is determined based on the degree of fit, the fourth weight value of the degree of fit, the first quality evaluation value, and the third weight value of the first quality evaluation value.

[0101] Specifically, the electronic device sends several options to the relevant personnel, and the relevant personnel click on the options to determine the quality assessment category corresponding to the second quality assessment value, so that the electronic device obtains the quality assessment category. In the embodiment of the present application, the quality assessment category includes at least: structural construction quality and process construction quality, etc.; different building components have different functions, and the corresponding first working attributes are also different. In the embodiment of the present application, the first working attributes at least include: connection attributes, support attributes, waterproof attributes, thermal insulation attributes, etc. A plurality of corresponding relationships are screened out from the preset corresponding relationship database, and the preset corresponding relationship database stores a plurality of quality assessment categories and their corresponding corresponding relationships. Each quality assessment category includes: a corresponding relationship between the first working attribute and the third weight value, and a corresponding relationship between the second working attribute and the fourth weight value, and then the third weight value corresponding to the first working attribute can be determined, that is, the third weight value of the first quality assessment value. It can be understood that when the quality assessment category is different, the first working attribute of the building component has different effects on the construction quality assessment; for example, when judging the structural quality of the building construction, the surface defect characteristics of the building component with waterproof attributes have less effect on the structural quality, and thus the corresponding third weight value is also smaller. The above multiple correspondences are all set by relevant technical personnel based on work experience and pre-entered into the electronic device. In the embodiment of the present application, the second working attribute of the building connection part includes: structural connection and decorative connection; after the electronic device determines all the building connection parts in the target construction area, it sends all the building connection parts to the user-end device, and the relevant personnel fill in or select the second working attribute corresponding to each building connection part on the user-end device, and send it to the electronic device, so that the electronic device obtains the second working attribute. Further, the corresponding fourth weight value can be determined from the above preset correspondence database; it can be understood that when the quality assessment category is still structural quality, the second working attribute is the building connection part of the decorative connection. When the fit is small, the impact on the structural quality is small, and thus the corresponding fourth weight value is also small. The second quality assessment value can be determined according to the calculation formula: second quality assessment value = first quality assessment value * third weight value + fit * fourth weight value.

[0102] In an embodiment of the present application, when evaluating a construction project from different quality dimensions, building components with different working attributes play different roles. Therefore, the quality assessment category corresponding to the second quality assessment value and the first working attribute of the building component are obtained, and the third weight value of the first quality assessment value is determined according to the first working attribute and the quality assessment category. The importance of 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. Therefore, the second working attributes of the building connection parts are obtained, and the fourth weight value of the fit is determined according to the second working attribute and the quality assessment category. The second quality assessment value is determined according to the first quality assessment value, the third weight value, the fit and the fourth weight value, so as to effectively improve the accuracy of the second quality assessment value.

[0103] The above embodiment introduces a method for determining engineering quality from the perspective of method flow, and the following embodiment introduces a device for determining engineering quality from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0104] The present application embodiment provides a device for determining engineering quality, such as Figure 3 As shown, the engineering quality determination device may specifically include:

[0105] The target image acquisition module 201 is used to acquire the target image of the target construction area and identify the target image when receiving the project quality monitoring request, so as to obtain the first image of the building components in the target construction area and the second image of the building connection part;

[0106] A first quality assessment value determination module 202, configured to identify the first image to determine a surface defect feature identifier of the building component, and determine a first quality assessment value based on the surface defect feature identifier, wherein the first quality assessment value is used to assess the quality of the building component;

[0107] A fit determination module 203, for determining the fit of the building connection part based on the second image;

[0108] The second quality evaluation value determination module 204 is used to determine 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.

[0109] In a possible implementation of the embodiment of the present application, when the first quality assessment value determination module 202 determines the first quality assessment value based on the surface defect feature identification, it is used to:

[0110] Determine, for the crack feature identifier, crack size information in the building component and crack density in the building component, and determine a first hazard value corresponding to the crack feature identifier based on the crack size information and the crack density;

[0111] Determine hole size information and hole depth value in the building component for the hole feature identifier, and determine a second hazard value corresponding to the hole feature identifier based on the hole size information and the hole depth value;

[0112] Based on the first risk value and the second risk value, a first quality assessment value is determined.

[0113] In a possible implementation manner of the embodiment of the present application, the device for determining engineering quality further includes:

[0114] The weight value determination module is used to:

[0115] Obtaining first position information of a hole corresponding to the hole feature identifier, and obtaining second position information of a crack corresponding to the crack feature identifier;

[0116] Obtain environmental information of the target construction area;

[0117] Based on the environmental information, a first weight value corresponding to the first location information and a second weight value corresponding to the second location information are determined; accordingly, when the second quality assessment value determination module determines the first quality assessment value based on the first danger value and the second danger value, it is used to:

[0118] 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.

[0119] In a possible implementation manner of the embodiment of the present application, the device for determining engineering quality further includes:

[0120] Hole depth value determination module, used for:

[0121] Recognize the first image to determine the boundary contour information and color depth value of the hole corresponding to the hole feature identifier;

[0122] Based on the boundary contour information and color depth value, the point cloud data of the hole is determined;

[0123] Perform plane fitting on the point cloud data to obtain a fitted hole plane, and fill the fitted hole plane to generate a three-dimensional model of the hole;

[0124] Determine hole depth values ​​based on the stereo model.

[0125] In a possible implementation of the embodiment of the present application, when the second quality evaluation value determination module 204 determines the second quality evaluation value based on the fit degree and the first quality evaluation value, it is used to:

[0126] Obtaining a quality assessment category corresponding to the second quality assessment value and a first working attribute corresponding to the building component, wherein the first working attribute represents a function of the building component;

[0127] For each first quality assessment value of a building component, determine a third weight value of the first quality assessment value based on the first working attribute of the building component and the category to which the quality assessment belongs;

[0128] Obtaining a second working attribute of the building connection part, and determining a fourth weight value of the fit based on the second working attribute and the category to which the quality assessment belongs, wherein the second working attribute represents a function of the building connection part;

[0129] The second quality evaluation value is determined based on the degree of fit, the fourth weight value of the degree of fit, the first quality evaluation value, and the third weight value of the first quality evaluation value.

[0130] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the engineering quality determination device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0131] An electronic device is provided in an embodiment of the present application, such as Figure 4 As shown, Figure 4 The electronic device shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device may further include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device does not constitute a limitation on the embodiments of the present application.

[0132] Processor 301 may be a CPU (Central Processing Unit), a general purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0133] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0134] The memory 303 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0135] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0136] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 4 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0137] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0138] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0139] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining engineering quality, characterized in that: include: When a project quality monitoring request is received, a target image of a target construction area is acquired, and the target image is recognized to obtain a first image of building components and a second image of building connection parts of the target construction area; Recognize the first image to determine a surface defect feature identifier of the building component, and determine a first quality assessment value based on the surface defect feature identifier, wherein the first quality assessment value is used to assess the quality of the building component; Determining the fit of the building connection part based on the second image; Based on the fit degree and the first quality assessment value, determine a second quality assessment value to assess the construction quality of the target construction area; The determining a second quality evaluation value based on the fit degree and the first quality evaluation value includes: Obtaining a quality assessment category corresponding to the second quality assessment value and a first working attribute corresponding to the building component, wherein the first working attribute represents a function of the building component; For each of the first quality assessment values ​​of the building components, determine a third weight value of the first quality assessment value based on the first working attribute of the building component and the category to which the quality assessment belongs; Acquire a second working attribute of the building connection part, and determine a fourth weight value of the fit based on the second working attribute and the category to which the quality assessment belongs, wherein the second working attribute represents a function of the building connection part; The second quality evaluation value is determined based on the fit degree, a fourth weight value of the fit degree, the first quality evaluation value, and a third weight value of the first quality evaluation value.

2. The method for determining engineering quality according to claim 1, characterized in that: The surface defect feature identifier at least includes: a crack feature identifier and a hole feature identifier, and determining the first quality assessment value based on the surface defect feature identifier includes: Determine, for the crack feature identifier, crack size information in the building component and crack density in the building component, and determine a first hazard value corresponding to the crack feature identifier based on the crack size information and the crack density; Determine the hole size information and the hole depth value in the building component according to the hole feature identifier, and determine a second danger value corresponding to the hole feature identifier based on the hole size information and the hole depth value; The first quality assessment value is determined based on the first risk value and the second risk value.

3. The method for determining engineering quality according to claim 2, characterized in that: Before determining the first quality assessment value based on the first risk value and the second risk value, the method further includes: Acquire first position information of a crack corresponding to the crack feature identifier, and acquire second position information of a hole corresponding to the hole feature identifier; Acquiring environmental information of the target construction area; Based on the environmental information, determining a first weight value corresponding to the first location information and a second weight value corresponding to the second location information; Accordingly, 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 method for determining engineering quality according to claim 2, characterized in that: Determining the depth value of the hole in the building component includes: Identify the first image to determine the boundary contour information and color depth value of the hole corresponding to the hole feature identifier; 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; The hole depth value is determined based on the three-dimensional model.

5. A device for determining engineering quality, characterized in that: include: A target image acquisition module is used to acquire a target image of a target construction area when receiving a project quality monitoring request, and to identify the target image to obtain a first image of a building component in the target construction area and a second image of a building connection part; A first quality assessment value determination module, configured to identify the first image to determine a surface defect feature identifier of the building component, and determine a first quality assessment value based on the surface defect feature identifier, wherein the first quality assessment value is used to assess the quality of the building component; A fit determination module, configured to determine the fit of the building connection portion based on the second image; A second quality assessment value determination module, configured to determine a second quality assessment value based on the fit degree and the first quality assessment value, so as to assess the construction quality of the target construction area; The second quality assessment value determination module is specifically used to obtain the quality assessment category corresponding to the second quality assessment value and the first working attribute corresponding to the building component, wherein the first working attribute represents the function of the building component; For each of the first quality assessment values ​​of the building components, determine a third weight value of the first quality assessment value based on the first working attribute of the building component and the category to which the quality assessment belongs; Acquire a second working attribute of the building connection part, and determine a fourth weight value of the fit based on the second working attribute and the category to which the quality assessment belongs, wherein the second working attribute represents a function of the building connection part; The second quality evaluation value is determined based on the fit degree, a fourth weight value of the fit degree, the first quality evaluation value, and a third weight value of the first quality evaluation value.

6. The device for determining the quality of a project according to claim 5, characterized in that: The surface defect feature identifiers at least include: crack feature identifiers and hole feature identifiers. When the first quality assessment value determination module determines the first quality assessment value based on the surface defect feature identifiers, it is used to: Determine, for the crack feature identifier, crack size information in the building component and crack density in the building component, and determine a first hazard value corresponding to the crack feature identifier based on the crack size information and the crack density; Determine the hole size information and the hole depth value in the building component according to the hole feature identifier, and determine a second danger value corresponding to the hole feature identifier based on the hole size information and the hole depth value; The first quality assessment value is determined based on the first risk value and the second risk value.

7. The device for determining the quality of a project according to claim 6, characterized in that: The engineering quality determination device also includes: The weight value determination module is used to: Acquire first position information of a hole corresponding to the hole feature identifier, and acquire second position information of a crack corresponding to the crack feature identifier; Acquiring environmental information of the target construction area; Based on the environmental information, determining a first weight value corresponding to the first location information and a second weight value corresponding to the second location information; Accordingly, when determining the first quality assessment value based on the first risk value and the second risk value, the second quality assessment value determination module is used to: 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.

8. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the engineering quality determination method according to any one of claims 1 to 4.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the engineering quality determination method described in any one of claims 1 to 4.

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