CN115371651A - House building quality evaluation method and system - Google Patents
House building quality evaluation method and system Download PDFInfo
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Abstract
The invention provides a quality evaluation method and a system of a house building, which relate to the technical field of data processing, the distribution result of detection points is obtained by analyzing and obtaining house size parameters and structure information, nondestructive detection and local damage detection of the detection points are carried out by an ultrasonic detection device and a sampling device to obtain detection data, a concrete apparent image collection set of the house building is obtained and subjected to apparent evaluation to generate apparent evaluation data, and the quality evaluation result is generated by the nondestructive detection data, the local damage detection data and the apparent evaluation data. The technical problems that in the prior art, the quality evaluation detection scheme of the house building is unreasonable in arrangement, the quality defect of the building structure is caused in the detection process, and the reliability and the practicability of the evaluation result are low are solved. The quality evaluation detection scheme has high adaptability to the house to be detected, the detection process has no influence on the building construction quality, and the detection result has the technical effect of reference value in the engineering quality judgment.
Description
Technical Field
The invention relates to the technical field of detection, in particular to a method and a system for evaluating the quality of a house building.
Background
The quality of the house building is related to various factors, the structural design of the early engineering designers during the house building design and the reasonability of the selection of building accessories, and the execution condition of the engineering plan by the middle construction workers during the building construction process jointly determine the quality of the house building. When engineering acceptance and building construction self-checking, acceptance inspection personnel and constructors often emphasize on the inspection of the internal structural performance of the house, visual inspection is adopted for the detection of the apparent shaping of the house, the subjectivity and randomness in the evaluation and detection process of the building quality are large, the subsequent overhaul and maintenance of the quality defects of the house by referring to the detection result of the house are not facilitated, and the service life of the house is even caused to be lower than the planned service life.
The technical problems that the quality of a building structure is not reasonably set in a building quality assessment detection scheme, the quality defect of the building structure is caused in the detection process, the reliability and the practicability of an assessment result are low, and the reference value is low in engineering quality inference exist in the prior art.
Disclosure of Invention
The application provides a quality evaluation method and system for a house building, which are used for solving the technical problems that in the prior art, the quality evaluation detection scheme of the house building is unreasonable in arrangement, the quality defect of the building structure is caused in the detection process, the reliability and the practicability of the evaluation result are lower, and the reference value is lower in engineering quality inference.
In view of the above problems, the present application provides a method and a system for evaluating the quality of a house building.
In a first aspect of the present application, there is provided a method for evaluating the quality of a building construction, the method comprising: acquiring target house building information, and performing information analysis on the target house building information to obtain house size parameters and structure information; performing quality measurement point distribution according to the house size parameters and the structure information to obtain a measurement point distribution result; carrying out detection point distribution on the ultrasonic detection device and the sampling device based on the distribution result of the measurement points to obtain a distribution result; determining based on the ultrasonic detection device and the sampling device through the distribution result to obtain nondestructive detection data and local damage detection data; acquiring concrete apparent images of the target building by the image acquisition device to obtain an apparent image acquisition set; performing apparent evaluation on the apparent image acquisition set through an apparent recognition model to generate apparent evaluation data; and generating a quality evaluation result through the nondestructive testing data, the local damage testing data and the apparent evaluation data.
In a second aspect of the present application, there is provided a quality evaluation system for a house building, the system comprising: the building data acquisition module is used for acquiring target building information and analyzing the target building information to obtain a building size parameter and structural information; the detection site determining module is used for performing quality measurement point distribution according to the house size parameters and the structure information to obtain a distribution result of the measurement points; the measuring point distribution determining module is used for carrying out the distribution of the measuring points of the ultrasonic detection device and the sampling device based on the measuring point distribution result to obtain a distribution result; the detection data determination module is used for determining based on the ultrasonic detection device and the sampling device according to the distribution result to obtain nondestructive detection data and local damage detection data; the apparent image acquisition module is used for acquiring the concrete apparent image of the target house building through the image acquisition device to obtain an apparent image acquisition set; the appearance evaluation generation module is used for performing appearance evaluation on the appearance image acquisition set through an appearance recognition model to generate appearance evaluation data; and the evaluation result generation module is used for generating a quality evaluation result through the nondestructive testing data, the local damage testing data and the apparent evaluation data.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method provided by the embodiment of the application, the size parameter and the structure information of the house are obtained by collecting the information of the target house building and analyzing the information of the target house building, the distribution of the quality measuring points is carried out according to the size parameter and the structure information of the house, the distribution result of the measuring points is obtained, the determination of the detecting points based on the house structure is realized, and representative detecting points are provided for the subsequent acquisition of the detecting data with the reference property. And detecting point distribution of the ultrasonic detection device and the sampling device is carried out based on the distribution result of the measuring points to obtain a distribution result, and nondestructive detection data and local damage detection data are obtained by measuring based on the ultrasonic detection device and the sampling device according to the distribution result, so that the technical effect of carrying out house detection under the condition of not causing the risk of house building structure defects is realized. Acquiring concrete apparent images of the target building by the image acquisition device to obtain an apparent image acquisition set; and the appearance evaluation of the appearance image acquisition set is carried out through the appearance recognition model to generate appearance evaluation data, and the data acquisition is carried out on both the internal structure and the appearance form of the house building, so that the comprehensiveness and the scientificity of the evaluation result are improved. And generating a quality evaluation result through the nondestructive testing data, the local damage testing data and the apparent evaluation data. The method achieves the technical effects that the adaptability of the house building quality evaluation detection scheme and the house to be detected is high, the detection process has no influence on the building structure quality, and the detection result has a reference value in the project quality judgment.
Drawings
Fig. 1 is a schematic flow chart of a quality evaluation method for a building construction provided by the present application;
fig. 2 is a schematic flow chart illustrating a distribution result of measurement points obtained in the quality evaluation method for a building construction provided by the present application;
fig. 3 is a schematic flow chart illustrating a distribution result obtained according to a distribution position adjustment result in the quality evaluation method for a building structure according to the present application;
fig. 4 is a schematic structural diagram of a quality evaluation system for a building construction provided by the present application.
Description of reference numerals: the system comprises a building data acquisition module 11, a detection site determination module 12, a measurement point distribution determination module 13, a detection data measurement module 14, an apparent image acquisition module 15, an apparent evaluation generation module 16 and an evaluation result generation module 17.
Detailed Description
The application provides a quality evaluation method and system for a house building, which are used for solving the technical problems that in the prior art, the quality evaluation detection scheme of the house building is unreasonable in arrangement, the quality defect of the building structure is caused in the detection process, the reliability and the practicability of the evaluation result are lower, and the reference value is lower in engineering quality inference.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the wall type and the number of detection sites are determined according to the house size and the house structure of the house building, and local damage detection and nondestructive detection are respectively carried out according to different wall types to obtain the internal structure information of the house building. And performing building construction appearance evaluation based on image model processing instead of artificial subjective experience. And generating a quality evaluation result through the nondestructive testing data, the local damage testing data and the apparent evaluation data. The adaptability of the house building quality evaluation detection scheme and the house to be detected is high, the detection process has no influence on the building structure quality, and the detection result has the detection effect of reference value in the project quality judgment.
Example one
As shown in fig. 1, the present application provides a quality evaluation method for a building construction, the method is applied to a quality detection system, the quality detection system is connected with an image acquisition device, an ultrasonic detection device and a sampling device in a communication manner, and the method comprises the following steps:
s100, acquiring target house building information, and performing information analysis on the target house building information to obtain house size parameters and structure information;
specifically, the evaluation of the building quality is an important means for knowing whether the building quality meets the use requirement in the building construction process and the acceptance stage, and the objects of the evaluation of the building quality include, but are not limited to, the building structure, the appearance form and the stress condition.
In the embodiment, the quality evaluation detection is carried out by a destructive and non-destructive quality detection method on the apparent form and the internal structure of the house, so that the building quality of the target house is accurately evaluated. The target house is a house building of which the building quality to be subjected to the building quality detection evaluation is temporarily unknown. The target house building information comprises data file information which is directly or indirectly related to the house building quality, such as building area, drawing completion condition, total construction cost of a project, project site, property, scale, application and the like. The house size parameters comprise the total size of a house plane diagram, the height of a three-dimensional icon, the use area of a functional area, the thickness of a wall body and the like. The structural information includes bearing structure information and enclosure structure information of the target building.
And acquiring the house information which comprises the house size parameter and the structure information and can visually evaluate the house building quality by acquiring the target house building information and analyzing and screening the target house building information.
S200, distributing quality measuring points according to the house size parameters and the structure information to obtain measuring point distribution results;
further, as shown in fig. 2, the distribution of quality measurement points is performed according to the house size parameter and the structural information, so as to obtain a distribution result of the measurement points, and the step S200 of the method provided by the present application further includes:
s210, evaluating the position of the main structure according to the structure information to generate a main structure evaluation result;
s220, carrying out proportion distribution on the main structure sampling data points based on the main structure evaluation result to obtain proportion distribution constraint parameters;
and S230, obtaining the distribution result of the measuring points through the proportion distribution constraint parameters.
Specifically, the main structure refers to a house main structure, which is a plane or space system playing a bearing role in a house building, and in order to ensure the use safety of the house building, the main structure should meet certain requirements on strength, rigidity and stability so as to realize the bearing capacity on the building load. And evaluating the position of the main structure to analyze the distribution condition of the bearing wall and the non-bearing wall of the current house building and the proportion condition of the two types of walls.
It will be appreciated that the building walls include load bearing walls and non-load bearing walls, and that load bearing walls, because they play a crucial role in building safety, require more test sites to be deployed in the building quality assessment than non-load bearing walls to improve the comprehensiveness of the load bearing wall quality assessment. In this embodiment, in order to avoid the quality defect of the building structure caused by excessive physical sampling of the building wall, a non-damage detection method is preferred when detecting the bearing wall, for example, the bearing wall is detected by an ultrasonic detection device, and local damage sampling detection with low detection cost can be selected when detecting the non-bearing wall.
In this embodiment, the main structure position is evaluated according to the structure information, a main structure evaluation result is generated, the occupation ratio of the lossless detection points and the local damaged detection points in the main structure sampling data points and the distribution of the detection points are determined based on the main structure evaluation result, the occupation ratio distribution constraint parameters related to the types of the detection points and the number of the detection points in the unit area are obtained, and the measurement point distribution result is obtained through the occupation ratio distribution constraint parameters.
According to the method, the distribution of the detection points for evaluating the quality of the house building and the determination of the number of the detection points are determined by analyzing and evaluating the main structure of the house building, so that the technical effects that the obtained detection points and the detection mode completely cover the whole building, and the detection action does not cause the defect of the structural quality of the building are achieved.
S300, carrying out detection point distribution of the ultrasonic detection device and the sampling device based on the distribution result of the measurement points to obtain a distribution result;
further, as shown in fig. 3, the method provided by the present application further includes:
s310, acquiring sampling local size data information based on the sampling device;
s320, carrying out sampling influence evaluation according to the sampling local size data information, the house size parameter and the structure information, and generating a sampling limit area based on a sampling influence evaluation result;
s330, adjusting the distribution position of the sampling device according to the sampling limit area and the distribution result of the measuring points to obtain a distribution position adjustment result;
s340, obtaining the distribution result through the distribution position adjusting result.
Specifically, it should be understood that, when the main body of the building is detected and evaluated by means of local damage sampling, the local damage can be repaired by filling the filler such as cement after the sampling is completed, but if the sampling detection point during the local damage sampling detection is the horizontal embedded border between the window, the door frame and the wall, the detection point can not be repaired by the filler, and the original stable structure of the window door frame and the wall can not be maintained.
Therefore, in this embodiment, before the sampling device is actually operated to perform local damage sampling detection on the main structure of the house, the size data information of the sampling part is obtained when the sampling device samples the target house based on the sampling component and the working principle of the sampling device.
According to the sampling local size data information, the house size parameters and the structure information, sampling influence evaluation is carried out, the damage degree of a sampling action to the house building structure relative to the house size parameters of the local sampling size is determined, a sampling limit area is generated based on the sampling influence evaluation result, the house building structure defect is possibly caused by the sampling action in the sampling limit area, and meanwhile, the accuracy of a quality evaluation structure obtained by sampling detection after the sampling limit area is avoided is not interfered.
And adjusting the distribution position of the sampling device according to the sampling limit area and the distribution result of the measuring points to obtain a distribution position adjustment result, and obtaining the distribution result according to the distribution position adjustment result.
Whether this embodiment causes the safety risk of housing construction structure through the analysis entity action of sampling, carries out the change of the distribution of the primary sampling point, has reached the sample detection action and when not arousing housing construction structure defect, the testing result still can accurately reflect the technical effect of building quality.
S400, determining based on the ultrasonic detection device and the sampling device according to the distribution result to obtain nondestructive detection data and local damage detection data;
specifically, in the present embodiment, a mass measurement point distribution result is obtained by analyzing information of the target building, and a measurement point distribution result for performing nondestructive testing and a measurement point distribution result for performing local damage testing are analyzed and obtained based on the measurement point distribution result. And correspondingly setting the ultrasonic detection device according to the distribution result of the detection points for carrying out nondestructive detection, and correspondingly setting the sampling device according to the distribution result of the detection points for carrying out local damage.
And respectively carrying out nondestructive testing and local damage testing on the target house building through the ultrasonic testing device and the sampling device to obtain nondestructive testing data and local damage testing data which reflect the quality of the target house building, wherein the nondestructive testing data and the local damage testing data truly and accurately reflect the internal structure performance of the target house building.
S500, acquiring concrete apparent images of the target house building through the image acquisition device to obtain an apparent image acquisition set;
further, the method provided by the present application further includes:
s510, pre-collecting concrete surface images through the image collecting device to obtain a pre-collected image set;
s520, performing light distribution evaluation on the pre-collected image set to obtain a light distribution evaluation result;
and S530, adjusting the position of the image acquisition device based on the light distribution evaluation result, and acquiring the apparent image acquisition set based on the image acquisition device after position adjustment.
Further, the method provided by the present application further includes:
s531, determining a light source compensation area based on the light distribution evaluation result;
s532, generating light compensation parameters according to the position distribution of the image acquisition device after position adjustment and the light source compensation area, wherein the light compensation parameters comprise light intensity and light angle;
and S533, after the light compensation of the light source compensation area is carried out through the light compensation parameters, obtaining the apparent image acquisition set through the image acquisition device after position adjustment.
Specifically, it will be appreciated that the appearance of defective concrete in terms of quality of the form affects the building structure, and while reducing the strength of the concrete, the void spaces present therein drain and accumulate water currents that cause water to leak into the interior of the building structure, causing rusting and corrosion of the steel reinforcement inside the building structure, thereby affecting the durability and useful life of the building structure. Common building concrete surface defects include patchwork leaks, pitted surfaces, holes, and honeycombs.
In the embodiment, the objective evaluation of the appearance of the target house is realized by accurately acquiring image information of the appearance image of the target house building and combining data processing.
Specifically, firstly, the image acquisition device performs concrete appearance image pre-acquisition on the wall surface of the target building to obtain a pre-acquired image set, and in order to avoid interference information caused by changes in light and shadow caused by natural illumination due to shooting angles and the building, and reduce the accuracy of building appearance defect resolution detection according to the acquired image, in this embodiment, light distribution evaluation is performed on the pre-acquired image set to obtain a light distribution evaluation result, the light distribution evaluation result includes image brightness adjustment information and color balance improvement information, and a light source compensation area is determined based on the light distribution evaluation result.
Generating light compensation parameters including light intensity and light angle according to the position distribution of the image acquisition device after position adjustment and the light source compensation area, and acquiring the apparent image acquisition set through the image acquisition device after position adjustment after performing light compensation of the light source compensation area based on the light compensation parameters.
According to the embodiment, the external environment light and shadow change when the image acquisition device acquires the house building image and the interference information when the image acquisition device acquires the house building apparent image due to the orientation limitation of the image acquisition device are analyzed and eliminated, so that the house building apparent image is accurately acquired, and the technical effect of providing an accurate image foundation for subsequent house building apparent evaluation is achieved.
S600, performing apparent evaluation on the apparent image acquisition set through an apparent identification model to generate apparent evaluation data;
in this embodiment, the apparent recognition model may be an image recognition model, model training may be performed through an apparent historical image of a building, where a large amount of image information includes apparent defects such as seam leakage, pitted surface, holes, and cells, and the specific image training method and the accuracy of training result output are not limited in this embodiment.
And inputting the apparent image acquisition set into the trained apparent recognition model for apparent evaluation to obtain apparent evaluation data, wherein the apparent evaluation data can be score evaluation covering an apparent defect type and reflecting the defect quantity.
Illustratively, the acquisition of the apparent image evaluation result of the target house building can be performed through a FasterR-CNN network structure model.
And S700, generating a quality evaluation result through the nondestructive testing data, the local damage testing data and the apparent evaluation data.
Further, the method provided by the present application further includes:
s710, collecting the size of the target house building to generate a size collection result;
s720, comparing the size deviation through the size acquisition result and the house size parameter to obtain a size deviation comparison result;
and S730, generating a quality evaluation result according to the size deviation comparison result, the nondestructive testing data, the local damage testing data and the apparent evaluation data.
Specifically, it should be understood that, in the actual building construction based on the previous building construction design and building material selection requirement, in order to achieve better building construction safety effect or building aesthetic requirement, the actual construction of the building construction has deviation from the expectation, and the specific deviation includes but is not limited to the deviation types such as building material use type, door and window number, door and window area, wall thickness, and the like.
In this embodiment, the size of the target building is collected, and a size collection result is generated, where the size collection result includes a total size of a plane of the building, a height dimension of a stereogram of the building, a functional area of the building, a wall thickness of the building, and the like. The house size parameters comprise the total size of a house plane diagram, the height of a three-dimensional icon, the use area of a functional area, the thickness of a wall body and the like.
And comparing the size deviation of the size acquisition result with the size parameters of the house one by one, and summing the deviation results of all size comparison items or performing other complex data processing to obtain the size deviation comparison result, wherein the size deviation result reflects the completion degree of the house building construction on the design drawing. And generating a quality evaluation result according to the size deviation comparison result, the nondestructive testing data, the local damage testing data and the apparent evaluation data.
According to the embodiment, the actual building condition of the house building is obtained and compared with the building and drawing data in the construction period, the building construction completion degree condition is obtained, the house building quality evaluation result is determined together with the appearance information and the building structure information of the house building, more comprehensive and reliable house building evaluation information is obtained, and the technical effect of improving the accuracy and the reliability of the building quality evaluation result is achieved.
According to the method provided by the embodiment, the size parameter and the structure information of the house are obtained by acquiring the information of the target house building and analyzing the information of the target house building, the distribution of the quality measuring points is carried out according to the size parameter and the structure information of the house, the distribution result of the measuring points is obtained, the determination of the detecting sites based on the house structure is realized, and representative detecting sites are provided for the subsequent acquisition of the detecting data with the reference property. And detecting point distribution of the ultrasonic detection device and the sampling device is carried out based on the distribution result of the measuring points to obtain a distribution result, and nondestructive detection data and local damage detection data are obtained by measuring based on the ultrasonic detection device and the sampling device according to the distribution result, so that the technical effect of carrying out house detection under the condition of not causing the risk of house building structure defects is realized. Acquiring concrete apparent images of the target building by the image acquisition device to obtain an apparent image acquisition set; and the appearance evaluation of the appearance image acquisition set is carried out through the appearance recognition model to generate appearance evaluation data, and the data acquisition is carried out on both the internal structure and the appearance form of the house building, so that the comprehensiveness and the scientificity of the evaluation result are improved. And generating a quality evaluation result through the nondestructive testing data, the local damage testing data and the apparent evaluation data. The quality evaluation detection scheme and the house to be detected have high adaptability, the detection process has no influence on the building construction quality, and the detection result has a reference value in the engineering quality judgment.
Further, the method provided by the present application further includes:
s350, obtaining quality evaluation precision requirement information;
s360, determining a total measuring point number interval according to the quality evaluation precision demand information, the house size parameter and the structure information;
s370, carrying out detection point proportion distribution on the ultrasonic detection device and the sampling device based on big data and the structural information to obtain proportion distribution results;
and S380, obtaining the distribution result according to the total measuring point quantity interval and the proportion distribution result.
In this embodiment, the quality evaluation precision requirement information is a requirement for accuracy and reliability of the quality evaluation result, and different building design requirements are required according to the target safety factor of the building, and in order to avoid excessive quality detection and evaluation on loss of manpower and material resources and building restoration, in this embodiment, the number of measurement points of the target building is determined according to the quality evaluation precision requirement information.
Specifically, in the present embodiment, the quality evaluation accuracy requirement information is obtained, the determination of the number of measurement points of the target building construction is preliminarily performed, and then, based on the building size parameter and the structural information, the preliminarily determined number of measurement points is analyzed to perform sampling inspection and ultrasonic inspection of the target building construction with the presence or absence of a risk of causing structural defects of the building construction and to reduce the number of measurement points to obtain the same inspection result, thereby determining the total number of measurement points interval.
And in the total measuring point number interval, carrying out detection point proportion distribution of the ultrasonic detection device and the sampling device based on big data and the structural information to obtain a proportion distribution result, and obtaining the distribution result according to the total measuring point number interval and the proportion distribution result to carry out acquisition of nondestructive detection data and acquisition of local damage detection data based on the distribution result.
The number of the measuring points is determined according to the detection precision requirement, the number of the detecting points is limited and reduced by combining the house building information, the building defect risk caused by house detection is avoided, and the technical effects that the detection precision requirement is met, and meanwhile, the safety of a house structure is not interfered by detection behaviors are achieved.
Example two
Based on the same inventive concept as the quality evaluation method of a house building in the foregoing embodiment, as shown in fig. 4, the present application provides a quality evaluation system of a house building, wherein the system includes:
the building data acquisition module 11 is used for acquiring target house building information and analyzing the target house building information to obtain house size parameters and structure information;
the detection site determining module 12 is used for performing quality measurement point distribution according to the house size parameters and the structure information to obtain a distribution result of the measurement points;
a measured point distribution determination module 13, configured to perform, based on the measured point distribution result, distribution of measured points of the ultrasonic detection device and the sampling device to obtain a distribution result;
a detection data determination module 14, configured to perform determination based on the ultrasonic detection device and the sampling device according to the distribution result to obtain nondestructive detection data and local damage detection data;
the apparent image acquisition module 15 is used for acquiring the concrete apparent image of the target house building through the image acquisition device to obtain an apparent image acquisition set;
an appearance evaluation generation module 16, configured to perform appearance evaluation on the appearance image collection set through an appearance recognition model, and generate appearance evaluation data;
an evaluation result generation module 17, configured to generate a quality evaluation result from the nondestructive testing data, the local damage testing data, and the apparent evaluation data.
Further, the measuring point distribution determining module 13 further includes:
the local data acquisition unit is used for acquiring data information of sampling local size based on the sampling device;
a limited area generating unit for performing sampling influence evaluation according to the sampling local size data information, the house size parameter and the structure information, and generating a sampling limited area based on a sampling influence evaluation result;
a distribution position adjusting unit configured to adjust a distribution position of the sampling device based on the sampling restricted area and the measurement point distribution result to obtain a distribution position adjustment result;
a distribution result obtaining unit configured to obtain the distribution result according to the distribution position adjustment result.
Further, the measuring point distribution determining module 13 further includes:
the evaluation progress obtaining unit is used for obtaining quality evaluation precision requirement information;
the measuring point number determining unit is used for determining a total measuring point number interval according to the quality evaluation precision demand information, the house size parameter and the structure information;
a proportion distribution obtaining unit for performing proportion distribution of detection points of the ultrasonic detection device and the sampling device based on big data and the structural information to obtain a proportion distribution result;
and a distribution result generation unit for obtaining the distribution result according to the total measuring point number interval and the proportion distribution result.
Further, the apparent image capturing module 15 further includes:
the apparent image acquisition unit is used for pre-acquiring concrete apparent images through the image acquisition device to obtain a pre-acquired image set;
the light distribution evaluation unit is used for carrying out light distribution evaluation on the pre-collected image set to obtain a light distribution evaluation result;
and the apparent image obtaining unit is used for adjusting the position of the image acquisition device based on the light distribution evaluation result and obtaining the apparent image acquisition set based on the image acquisition device after position adjustment.
Further, the apparent image obtaining unit further includes:
a light source compensation determining unit for determining a light source compensation area based on the light distribution evaluation result;
the compensation parameter analysis unit is used for generating light compensation parameters according to the position distribution of the image acquisition device after position adjustment and the light source compensation area, wherein the light compensation parameters comprise light intensity and light angle;
and the apparent image retrieving unit is used for obtaining the apparent image acquisition set through the image acquisition device after position adjustment after the light compensation of the light source compensation area is carried out through the light compensation parameters.
Further, the detection site determining module 12 further includes:
the main structure evaluation unit is used for carrying out main structure position evaluation according to the structure information and generating a main structure evaluation result;
the constraint parameter evaluation unit is used for carrying out main structure sampling data point proportion distribution based on the main structure evaluation result to obtain proportion distribution constraint parameters;
and the distribution result obtaining unit is used for obtaining the distribution result of the measuring points through the proportion distribution constraint parameter.
Further, the evaluation result generating module 17 further includes:
the size acquisition execution unit is used for acquiring the size of the target house building and generating a size acquisition result;
the size deviation comparison unit is used for comparing the size deviation through the size acquisition result and the house size parameter to obtain a size deviation comparison result;
and the quality evaluation obtaining unit is used for generating a quality evaluation result according to the size deviation comparison result, the nondestructive testing data, the local damage testing data and the apparent evaluation data.
Any of the methods or steps described above may be stored as computer instructions or programs in various non-limiting types of computer memory that are recognized by various non-limiting types of computer processors to implement any of the methods or steps described above.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (8)
1. A quality evaluation method for house buildings is characterized in that the method is applied to a quality detection system which is in communication connection with an image acquisition device, an ultrasonic detection device and a sampling device, and the method comprises the following steps:
acquiring target house building information, and performing information analysis on the target house building information to obtain house size parameters and structure information;
performing quality measurement point distribution according to the house size parameters and the structure information to obtain a measurement point distribution result;
carrying out detection point distribution of the ultrasonic detection device and the sampling device based on the distribution result of the measurement points to obtain a distribution result;
determining based on the ultrasonic detection device and the sampling device according to the distribution result to obtain nondestructive detection data and local damage detection data;
acquiring concrete apparent images of the target building by the image acquisition device to obtain an apparent image acquisition set;
performing apparent evaluation on the apparent image acquisition set through an apparent identification model to generate apparent evaluation data;
and generating a quality evaluation result through the nondestructive testing data, the local damage testing data and the apparent evaluation data.
2. The method of claim 1, wherein the method further comprises:
obtaining sampled local dimensional data information based on the sampling device;
sampling influence evaluation is carried out according to the sampling local size data information, the house size parameters and the structure information, and a sampling limit area is generated based on a sampling influence evaluation result;
adjusting the distribution position of the sampling device according to the sampling limit area and the distribution result of the measuring points to obtain a distribution position adjustment result;
and obtaining the distribution result through the distribution position adjusting result.
3. The method of claim 1, wherein the method further comprises:
obtaining quality evaluation precision requirement information;
determining a total measuring point number interval according to the quality evaluation precision requirement information, the house size parameter and the structure information;
carrying out detection point proportion distribution of the ultrasonic detection device and the sampling device based on big data and the structural information to obtain proportion distribution results;
and obtaining the distribution result according to the total measuring point quantity interval and the proportion distribution result.
4. The method of claim 1, wherein the method further comprises:
pre-collecting concrete surface images through the image collecting device to obtain a pre-collected image set;
performing light distribution evaluation on the pre-collected image set to obtain a light distribution evaluation result;
and adjusting the position of the image acquisition device based on the light distribution evaluation result, and acquiring the apparent image acquisition set based on the image acquisition device after position adjustment.
5. The method of claim 4, wherein the method further comprises:
determining a light source compensation area based on the light distribution evaluation result;
generating light compensation parameters according to the position distribution of the image acquisition device after the position adjustment and the light source compensation area, wherein the light compensation parameters comprise light intensity and light angle;
and after the light compensation of the light source compensation area is carried out through the light compensation parameters, the apparent image acquisition set is obtained through the image acquisition device after the position adjustment is carried out.
6. The method of claim 1, wherein performing a distribution of quality measurement points based on the house size parameters and the structural information to obtain a distribution of measurement points, further comprises:
evaluating the position of the main structure according to the structure information to generate a main structure evaluation result;
carrying out ratio distribution of main structure sampling data points based on the main structure evaluation result to obtain ratio distribution constraint parameters;
and obtaining the distribution result of the measuring points through the proportion distribution constraint parameters.
7. The method of claim 1, wherein the method further comprises:
acquiring the size of a target building to generate a size acquisition result;
comparing the size deviation through the size acquisition result and the house size parameter to obtain a size deviation comparison result;
and generating a quality evaluation result according to the size deviation comparison result, the nondestructive testing data, the local damage testing data and the apparent evaluation data.
8. A system for assessing the quality of a building construction, the system comprising:
the building data acquisition module is used for acquiring target building information and analyzing the target building information to obtain a building size parameter and structural information;
the detection site determining module is used for performing quality measurement point distribution according to the house size parameters and the structure information to obtain a distribution result of the measurement points;
the measuring point distribution determining module is used for carrying out the distribution of the measuring points of the ultrasonic detection device and the sampling device based on the distribution result of the measuring points to obtain the distribution result;
the detection data determination module is used for determining based on the ultrasonic detection device and the sampling device according to the distribution result to obtain nondestructive detection data and local damage detection data;
the apparent image acquisition module is used for acquiring concrete apparent images of the target house building through the image acquisition device to obtain an apparent image acquisition set;
the appearance evaluation generation module is used for performing appearance evaluation on the appearance image acquisition set through an appearance recognition model to generate appearance evaluation data;
and the evaluation result generation module is used for generating a quality evaluation result through the nondestructive testing data, the local damage testing data and the apparent evaluation data.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115660759A (en) * | 2022-12-29 | 2023-01-31 | 成都阿卡林科技发展有限公司 | Real estate value prediction system and method based on big data analysis |
| CN117036655A (en) * | 2023-08-18 | 2023-11-10 | 河北建设集团股份有限公司 | Pattern recognition data acquisition system and method for building construction quality |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115660759A (en) * | 2022-12-29 | 2023-01-31 | 成都阿卡林科技发展有限公司 | Real estate value prediction system and method based on big data analysis |
| CN117036655A (en) * | 2023-08-18 | 2023-11-10 | 河北建设集团股份有限公司 | Pattern recognition data acquisition system and method for building construction quality |
| CN117036655B (en) * | 2023-08-18 | 2024-03-05 | 河北建设集团股份有限公司 | Pattern recognition data acquisition system and method for building construction quality |
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