Building safety assessment method and system based on data processing

Abstract

The present invention relates to the technical field of building safety assessment, and in particular to a building safety assessment method and system based on data processing, the method comprising: gridding a to-be-detected area, and collecting actual house data corresponding to a plurality of buildings and any building in any grid area; analyzing any actual house data to determine the safety of any building; analyzing actual house data corresponding to buildings adjacent to any building to determine the safety of the adjacent building; determining the actual safety of any actual building based on the safety of a single building and the safety of adjacent buildings; judging abnormal houses in any grid area based on a plurality of actual safety conditions, determining regional house safety based on the distribution of abnormal houses in any grid area, and adjusting the grid division result based on the abnormal number of abnormal houses in any grid area. The present invention improves the accuracy of building safety assessment.

Description

Technical Field

[0001] The present invention relates to the technical field of building safety assessment, and in particular to a building safety assessment method and system based on data processing. Background Art

[0002] In the current field of housing safety inspection, traditional inspection methods often rely on manual on-site inspections, combined with architectural structural drawings and expert experience to assess the safety of houses. This method is not only inefficient and costly, but also difficult to achieve comprehensive and rapid monitoring of housing safety in a large area. In recent years, with the development of geographic information systems and big data technologies, some technical solutions have begun to try to divide the area into grids and assess housing safety by collecting and analyzing basic data of houses within the grid.

[0003] The patent document with Chinese patent application publication number CN115906663A discloses a method for establishing a housing safety assessment model, an assessment method, a server and a system, wherein the establishment method includes: extracting sample data of several houses; formatting the sample data; selecting a part of the formatted sample data as training sample data and inputting it into a deep learning network for training; selecting another part of the formatted sample data as test sample data and inputting it into the trained deep learning network to test the calculation accuracy of the trained deep learning network. When the calculation accuracy does not meet the expected requirements, adjust the deep learning parameters and increase the amount of sample data for retraining until the calculation accuracy meets the expected requirements.

[0004] The existing technology evaluates house safety by collecting and analyzing basic data of houses in a grid for modeling, focusing only on the physical status data of the house itself, ignoring the mutual influence between houses and the overall safety situation analysis of the region, resulting in insufficient accuracy in the overall housing building safety detection in the region. Summary of the invention

[0005] To this end, the present invention provides a building safety assessment method and system based on data processing, which can solve the problem of insufficient accuracy of overall building safety detection in the area by judging the safety impact of adjacent buildings on any building and continuously adjusting the grids divided by the detection area through the analysis results of the number of abnormal houses in the detection results.

[0006] To achieve the above object, the present invention provides a building safety assessment method based on data processing, the method comprising:

[0007] Divide the area to be detected into grids, obtain a number of grid areas, and collect actual house data corresponding to a number of houses and buildings in any grid area and any house and building;

[0008] Analyze any of the actual house data, determine the safety of any house building based on the analysis results, and obtain the safety of a single house;

[0009] Analyzing actual housing data corresponding to housing buildings adjacent to the arbitrary housing buildings, determining the safety of the adjacent housing buildings based on the analysis results, and obtaining adjacent safety;

[0010] Determine the actual safety of any actual building based on the single building safety and the neighboring safety;

[0011] Determine the abnormal houses in any grid area based on some actual safety, determine the regional house safety of the to-be-detected area based on the distribution of abnormal houses in any grid area, and adjust the grid division result based on the abnormal number of abnormal houses in any grid area;

[0012] Among them, the actual house data includes actual crack data and actual settlement data.

[0013] Furthermore, the step of dividing the area to be detected into grids includes:

[0014] Determine boundary information of the area to be detected, and determine building information within the area to be detected;

[0015] Determine an initial grid area based on the boundary information and the building information;

[0016] determining an initial grid shape based on the boundary information;

[0017] The area to be detected is divided based on the initial grid area and the initial grid shape to obtain a plurality of the grid areas.

[0018] Furthermore, the step of determining the initial grid area based on the building information includes:

[0019] Determining the boundary length and boundary shape of the area to be detected;

[0020] Determine the area of ​​the region to be detected based on the boundary length and the boundary shape;

[0021] Determine the total number of buildings in the area to be detected;

[0022] Determine the initial grid area based on the area of ​​the region, the total number of building structures and the number of preset grid houses;

[0023] Among them, the initial grid area = regional area / (total number of buildings / preset grid number of houses), wherein the preset grid number of houses is the average of the number of houses corresponding to several grids obtained during historical grid division detection.

[0024] Furthermore, the step of determining the safety of any building based on the analysis result includes:

[0025] Obtaining a number of actual crack data and a number of actual settlement data of any of the building structures;

[0026] Analyzing a number of the actual crack data to determine the structural safety of the building;

[0027] Analyzing a number of the actual settlement data to determine the settlement safety of the building;

[0028] The safety of any of the individual buildings is determined based on the structural safety and the settlement safety.

[0029] Furthermore, the step of analyzing a plurality of the actual crack data to determine the structural safety of the building comprises:

[0030] Identify a number of actual cracks on the surface of the building based on the image data;

[0031] Determining positions of the plurality of actual cracks, and dividing the plurality of actual cracks into a plurality of structural cracks and a plurality of non-structural cracks based on the plurality of positions;

[0032] Analyzing the structural crack distribution density of a number of the structural cracks and the structural crack size of any structural crack, and determining the initial structural safety based on the structural crack distribution and the sizes of the several structural cracks;

[0033] Analyzing a number of non-structural crack sizes corresponding to the number of non-structural cracks, and determining a crack influencing factor based on the analysis results of the number of non-structural crack sizes;

[0034] Determining the structural safety based on the initial structural safety and the crack influencing factor;

[0035] Wherein, the structural safety=initial structural safety×crack influence factor.

[0036] Furthermore, the step of determining the initial structural safety based on the structural crack distribution density and the sizes of several structural cracks includes:

[0037] determining the number of structural cracks of a number of said structural cracks;

[0038] Determine the areas of several structural regions corresponding to the several structural cracks;

[0039] Determining the structural crack distribution density based on the number of structural cracks and the area of ​​the structural region;

[0040] Comparing the structural crack distribution density with a first preset distribution density to obtain a density comparison result;

[0041] determining a structural crack area of ​​any of said structural cracks;

[0042] The structural crack area is compared with a first preset crack area, and based on the comparison result, a proportion of structural cracks corresponding to a number of structural cracks whose structural crack areas are greater than or equal to the first preset crack area is calculated, and the structural crack proportion is compared with the first proportion to obtain a proportion comparison result;

[0043] Determining initial structural safety based on the density comparison result and the proportion comparison result;

[0044] Among them, the initial structural safety = density score × proportion score × 10.

[0045] Further, the step of determining the crack influencing factor based on the analysis results of the several non-structural crack sizes includes:

[0046] Determining a number of non-structural crack areas corresponding to the number of non-structural cracks;

[0047] Identify and mark non-structural cracks in a plurality of non-structural regions whose areas are larger than the area corresponding to the second preset crack area, and obtain marked cracks;

[0048] Determine the marked crack distribution density of the marked cracks, and determine the crack influence factor based on a comparison result between the marked crack distribution density and a second preset distribution density;

[0049] Among them, when the marked crack distribution density is greater than the second preset distribution density, the crack influence factor = k × (marked crack distribution density - second preset distribution density) + basic crack influence factor, wherein the proportional coefficient k is 10 and the basic crack influence factor is 0.5.

[0050] Further, the step of determining the actual safety of any actual building based on the single building safety and the adjacent safety includes:

[0051] Determining a safety impact factor based on the adjacent safety analysis result;

[0052] Determining the actual safety based on the safety impact factor and the safety of the single house;

[0053] Among them, the actual safety = (1 + safety impact factor) × safety of a single building.

[0054] Furthermore, the step of adjusting the grid division result based on the abnormal number of abnormal houses in any grid area includes:

[0055] comparing the abnormal quantity with a preset quantity, and determining an adjustment coefficient based on the comparison result;

[0056] Adjusting the initial grid area based on the adjustment coefficient to adjust the grid division result;

[0057] Wherein, when the number of anomalies is greater than the preset number, a reduction factor is calculated based on the number of anomalies and the preset number, and the initial grid area is adjusted based on the reduction factor;

[0058] When the number of anomalies is less than or equal to the preset number, calculating an increase factor based on the number of anomalies and the preset number, and adjusting the initial grid area based on the increase factor;

[0059] Reduction factor = α × (number of abnormalities / preset number), where α is the reduction coefficient, which is a constant greater than 1;

[0060] Increase factor = 1 / [β×(preset number / abnormal number)^θ], where β is the increase coefficient, which is a constant less than or equal to 1 and is used to control the degree of increase, and θ is an exponent.

[0061] On the other hand, the present invention also provides a system for a building safety assessment method based on data processing, the system comprising:

[0062] A grid division module is used to divide the area to be detected into grids and obtain a number of grid areas;

[0063] A data collection module, connected to the grid division module, for collecting actual housing data corresponding to a number of housing buildings and any housing building in any grid area;

[0064] A single safety analysis module, connected to the data acquisition module, for analyzing any of the actual house data, determining the safety of any house building based on the analysis results, and obtaining the safety of a single house;

[0065] An adjacent safety analysis module, used for analyzing actual housing data corresponding to housing buildings adjacent to the arbitrary housing building, determining the safety of the adjacent housing buildings based on the analysis result, and obtaining adjacent safety;

[0066] A safety determination module, connected to the single safety analysis module and the adjacent safety analysis module, for determining the actual safety of any actual building based on the single building safety and the adjacent safety;

[0067] A regional safety analysis module, connected to the safety determination module, for judging abnormal houses in any grid area based on a number of actual safety factors, and determining the regional house safety of the area to be detected based on the distribution of abnormal houses;

[0068] A grid adjustment module is connected to the regional safety analysis module and is used to adjust the grid division result based on the abnormal number of abnormal houses.

[0069] Compared with the prior art, the beneficial effects of the present invention are that the area to be inspected is divided into several manageable units through grid division, which is convenient for subsequent data collection and analysis, and the building data in each grid area is collected to ensure the comprehensiveness and accuracy of the data, so as to provide a reliable basis for subsequent safety assessment, and the accuracy and pertinence of the assessment are improved by conducting independent safety assessment on each building, and the potential safety hazards can be discovered in time through detailed data analysis, and the impact of adjacent houses on the target house is considered to make the assessment result more comprehensive and accurate, so as to provide a scientific basis for the improvement of overall safety, and the safety of a single house is combined with the safety of adjacent houses to obtain the actual safety assessment result of the house, so as to improve the accuracy and reliability of the assessment, and the abnormal houses are accurately identified through the actual safety assessment result, so as to provide a clear target for subsequent maintenance or reinforcement work, and the house safety of the entire area to be inspected is evaluated according to the distribution of abnormal houses, so as to provide a basis for regional safety management and planning, and the grid division result is dynamically adjusted according to the number and distribution of abnormal houses, so as to make the grid division more reasonable and scientific, and improve the evaluation efficiency and accuracy

[0070] In particular, by determining the boundary information of the area to be inspected, the scope of the assessment can be clearly defined, ensuring the pertinence and accuracy of subsequent work, understanding the information of houses and buildings in the area to be inspected, and providing the necessary data basis for subsequent grid division, data collection and analysis. According to the area of ​​the area to be inspected and the distribution of houses and buildings, the initial grid area is reasonably determined to ensure that each grid area contains an appropriate amount of houses and buildings, which is convenient for subsequent data collection and analysis. The grid shape is determined according to the boundary information of the area to be inspected, which can better adapt to the division needs of irregular areas, ensure the integrity and accuracy of grid division, and improve the flexibility and applicability of the assessment work. Through grid division, the area to be inspected is divided into several manageable units, which is convenient for subsequent data collection, analysis and security management, and improves the accuracy and reliability of the assessment results.

[0071] In particular, by obtaining multiple crack data points of a building, we can have a more comprehensive understanding of the crack distribution of the building structure, which helps to accurately assess the impact of cracks on the safety of the building structure. By analyzing the crack information, we can evaluate the overall stability and safety of the building structure. By analyzing the settlement data, we can determine whether there is abnormal settlement. Combining structural safety and settlement safety to conduct a comprehensive assessment of a single house can more accurately reflect the overall safety status of the house.

[0072] In particular, the use of image recognition technology to accurately identify cracks on the surface of building structures improves the efficiency and accuracy of crack detection. By determining the location of cracks, the distribution of cracks on the surface of building structures can be accurately understood, providing an important basis for subsequent analysis. Cracks can be divided into structural cracks and non-structural cracks, which helps to more accurately assess the impact of cracks on the structural safety of buildings. By analyzing the distribution density and size of structural cracks, the impact of structural cracks on the structural safety of buildings can be fully understood. By quantitatively analyzing the size of non-structural cracks, the impact of non-structural cracks on the structural safety of buildings can be objectively evaluated. The structural safety of the house can be comprehensively judged based on the initial structural safety and crack influencing factors, thereby improving the accuracy and reliability of the structural safety assessment of the house. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 A schematic diagram of a flow chart of a building safety assessment method based on data processing provided by an embodiment of the present invention;

[0074] Figure 2 A schematic diagram of a flow chart of dividing a grid in a building safety assessment method based on data processing provided by an embodiment of the present invention;

[0075] Figure 3 A schematic diagram of a process for determining the safety of a single house in a housing building safety assessment method based on data processing provided by an embodiment of the present invention;

[0076] Figure 4 A schematic structural diagram of a building safety assessment system based on data processing provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0077] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0078] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0079] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be understood as a limitation on the present invention.

[0080] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0081] See also Figure 1 As shown, an embodiment of the present invention provides a building safety assessment method based on data processing, the method comprising:

[0082] Step S100, gridding the area to be detected, obtaining a number of grid areas, and collecting a number of buildings in any grid area and actual house data corresponding to any building;

[0083] Step S200, analyzing any of the actual house data, determining the safety of any house building based on the analysis result, and obtaining the safety of a single house;

[0084] Step S300, analyzing actual housing data corresponding to housing buildings adjacent to the arbitrary housing building, determining the safety of the adjacent housing buildings based on the analysis result, and obtaining adjacent safety;

[0085] Step S400, determining the actual safety of any actual building based on the single building safety and the adjacent building safety;

[0086] Step S500, judging abnormal houses in any grid area based on some actual safety, determining regional house safety of the area to be detected based on the distribution of abnormal houses in any grid area, and adjusting the grid division result based on the abnormal number of abnormal houses in any grid area.

[0087] House construction refers to an entity that provides users or investors with a place to live, produce, work or other activities at a planned and designed location. House building structure refers to the classification of building materials based on the main load-bearing components such as beams, columns, walls, etc. The purpose of house structural design is to ensure that the constructed structure is safe and applicable, can meet the requirements of various expected functions within the specified period of time, and is economical and reasonable.

[0088] The embodiments of the present invention are applied to safety assessment of buildings in residential areas. Residential areas usually contain a large number of houses, and the mutual influence between the houses is relatively complex. Through grid division and data analysis, houses with safety hazards can be efficiently identified, providing a scientific basis for subsequent maintenance, reinforcement or demolition.

[0089] It is understandable that in the embodiment of the present invention, the house buildings adjacent to the arbitrary house buildings are houses that are adjacent to the house buildings in space and may have mutual influence or mutual dependence. These adjacent houses may be connected by common walls, floors, foundations and other structures, or may have mutual influence when disasters (such as fires and earthquakes) occur due to a relatively close distance (such as adjacent courtyards, streets, etc.).

[0090] Specifically, the embodiment of the present invention divides the area to be detected into several manageable units through grid division, which is convenient for subsequent data collection and analysis, collects house building data in each grid area, ensures the comprehensiveness and accuracy of the data, and provides a reliable basis for subsequent safety assessment. By conducting independent safety assessments on each building, the accuracy and pertinence of the assessment are improved. Through detailed data analysis, potential safety hazards can be discovered in a timely manner, and the impact of adjacent houses on the target house is considered to make the assessment results more comprehensive and accurate, providing a scientific basis for improving overall safety. The safety of a single house is combined with the safety of adjacent houses to obtain the actual safety assessment results of the house, and the accuracy and reliability of the assessment are improved. Through the actual safety assessment results, abnormal houses are accurately identified, providing clear goals for subsequent maintenance or reinforcement work. According to the distribution of abnormal houses, the house safety of the entire area to be detected is evaluated, providing a basis for regional safety management and planning. According to the number and distribution of abnormal houses, the grid division results are dynamically adjusted to make the grid division more reasonable and scientific, and improve the evaluation efficiency and accuracy.

[0091] See also Figure 2 As shown, the steps of meshing the area to be detected include:

[0092] Step S110, determining the boundary information of the area to be detected, and determining the building information in the area to be detected;

[0093] Step S120, determining an initial grid area based on the boundary information and the building information;

[0094] Step S130, determining an initial grid shape based on the boundary information;

[0095] Step S140, dividing the area to be detected based on the initial grid area and the initial grid shape to obtain a plurality of the grid areas.

[0096] It can be understood that the embodiments of the present invention can determine the initial grid shape based on the boundary information by analyzing the boundary shape of the area to be detected. When the boundary shape is a regular boundary, a grid shape matching the boundary shape is selected. When the boundary shape is an irregular boundary, interpolation, Voronoi diagrams or other space division techniques are used to create a grid shape that adapts to the boundary. A regular boundary refers to a boundary with a clear geometric shape, such as a rectangle, square, circle or polygon, whose sides and angles are right angles or equal angles, and an irregular boundary refers to all boundary shapes except regular boundaries.

[0097] Specifically, the embodiment of the present invention can clearly define the evaluation scope by determining the boundary information of the area to be detected, ensure the pertinence and accuracy of subsequent work, understand the house building information in the area to be detected, and provide the necessary data basis for subsequent grid division, data collection and analysis. According to the area of ​​the area to be detected and the distribution of houses and buildings, the initial grid area is reasonably determined to ensure that each grid area contains an appropriate amount of houses and buildings, which is convenient for subsequent data collection and analysis. The grid shape is determined according to the boundary information of the area to be detected, which can better adapt to the division requirements of irregular areas, ensure the integrity and accuracy of grid division, and improve the flexibility and applicability of evaluation work. Through grid division, the area to be detected is divided into a number of manageable units, which is convenient for subsequent data collection, analysis and security management, and improves the accuracy and reliability of the evaluation results.

[0098] Specifically, the step of determining the initial grid area based on the building information includes:

[0099] Determining the boundary length and boundary shape of the area to be detected;

[0100] Determine the area of ​​the region to be detected based on the boundary length and the boundary shape;

[0101] Determine the total number of buildings in the area to be detected;

[0102] The initial grid area is determined based on the area of ​​the region, the total number of building structures and the number of preset grid houses.

[0103] Specifically, the initial grid area described in the embodiment of the present invention = regional area / (total number of buildings / preset grid number of houses), wherein the preset grid number of houses is the average of the number of buildings corresponding to several grids obtained during historical grid division detection.

[0104] It can be understood that in the embodiments of the present invention, the area of ​​a region can be determined based on the boundary length and the boundary shape by directly using corresponding geometric formulas for regions of regular shapes (such as rectangles, triangles, circles, etc.). For example, the area formula of a rectangle is the length multiplied by the width, the area formula of a triangle is the base multiplied by half the height, and the area formula of a circle is π multiplied by the square of the radius; for regions of irregular shapes, the region area can be determined by dividing it into multiple sub-regions of regular shapes, and then calculating the area of ​​each sub-region separately, and finally summing up to obtain the total area. This is a prior art and will not be repeated here.

[0105] See also Figure 3 As shown, the step of determining the safety of any building based on the analysis results includes:

[0106] Step S210, obtaining a number of actual crack data and a number of actual settlement data of any of the building structures;

[0107] Step S220, analyzing a number of the actual crack data to determine the structural safety of the building;

[0108] Step S230, analyzing a number of the actual settlement data to determine the settlement safety of the building;

[0109] Step S240: determining the safety of any single house based on the structural safety and the settlement safety.

[0110] It can be understood that the actual settlement data of any of the above-mentioned buildings can be obtained by setting up a number of wireless sensors on any of the above-mentioned buildings, and determining the actual settlement data by comparing the real-time vertical height of each building floor of the building from the ground monitored in real time by the several wireless sensors with the standard vertical height of each building floor of the building from the ground. This is the prior art and will not be elaborated here.

[0111] It can be understood that the embodiment of the present invention analyzes some of the actual settlement data to determine the settlement safety of the building and can judge whether the average of some of the actual settlement data is within the preset safe settlement range. When it is within the safe settlement range, its settlement safety is high. Otherwise, its settlement safety is low. The preset safe settlement range is -10mm to +10mm.

[0112] Specifically, by acquiring multiple crack data points of a building, the embodiments of the present invention can more comprehensively understand the crack distribution of the building structure, which helps to accurately assess the impact of cracks on the structural safety of the building. By analyzing the crack information, the overall stability and safety of the building structure can be assessed. By analyzing the settlement data, it can be determined whether there is abnormal settlement. By combining structural safety and settlement safety, a comprehensive assessment of a single house can be conducted, which can more accurately reflect the overall safety status of the house.

[0113] Specifically, the step of analyzing a plurality of actual crack data to determine the structural safety of the building includes:

[0114] Identify a number of actual cracks on the surface of the building based on the image data;

[0115] Determining positions of the plurality of actual cracks, and dividing the plurality of actual cracks into a plurality of structural cracks and a plurality of non-structural cracks based on the plurality of positions;

[0116] Analyzing the structural crack distribution density of a number of the structural cracks and the structural crack size of any structural crack, and determining the initial structural safety based on the structural crack distribution and the sizes of the several structural cracks;

[0117] Analyzing a number of non-structural crack sizes corresponding to the number of non-structural cracks, and determining a crack influencing factor based on the analysis results of the number of non-structural crack sizes;

[0118] The structural safety is determined based on the initial structural safety and the crack influencing factor.

[0119] In an embodiment of the present invention, cracks on the surface of a building are identified through image data, and computer vision technology, such as edge detection algorithms and pattern recognition algorithms, can be used to identify the location and shape of the cracks to further determine the size of the cracks. The technology of identifying cracks based on images is a prior art and will not be described in detail here.

[0120] In the embodiment of the present invention, structural cracks refer to cracks that appear on the load-bearing structure of a building, wherein the load-bearing structure is a wall, a beam, a column, etc., and non-structural cracks refer to cracks that are located on non-load-bearing components, such as a decorative layer, a plaster layer, etc.

[0121] Specifically, the embodiment of the present invention uses image recognition technology to accurately identify cracks on the surface of a building, thereby improving the efficiency and accuracy of crack detection. By determining the location of the cracks, the distribution of the cracks on the surface of the building is accurately understood, providing an important basis for subsequent analysis. The cracks are divided into structural cracks and non-structural cracks, which helps to more accurately evaluate the impact of the cracks on the structural safety of the building. By analyzing the distribution density and size of the structural cracks, the impact of the structural cracks on the structural safety of the building is fully understood. By quantitatively analyzing the size of the non-structural cracks, the impact of the non-structural cracks on the structural safety of the building is objectively evaluated. The structural safety of the house is comprehensively judged based on the initial structural safety and the crack influencing factors, thereby improving the accuracy and reliability of the structural safety assessment of the house.

[0122] Specifically, the step of determining the initial structural safety based on the structural crack distribution density and a number of structural crack sizes includes:

[0123] determining the number of structural cracks of a number of said structural cracks;

[0124] Determine the areas of several structural regions corresponding to the several structural cracks;

[0125] Determining the structural crack distribution density based on the number of structural cracks and the area of ​​the structural region;

[0126] Comparing the structural crack distribution density with a first preset distribution density to obtain a density comparison result;

[0127] determining a structural crack area of ​​any of said structural cracks;

[0128] The structural crack area is compared with a first preset crack area, and based on the comparison result, a proportion of structural cracks corresponding to a number of structural cracks whose structural crack areas are greater than or equal to the first preset crack area is calculated, and the structural crack proportion is compared with the first proportion to obtain a proportion comparison result;

[0129] The initial structural safety is determined based on the density comparison result and the proportion comparison result.

[0130] Specifically, for general concrete structures in the embodiments of the present invention, according to the Technical Code for Prevention and Control of Cracks in Construction Engineering JGJ / T 317-2014, the first preset distribution density may be set to 0.01 cracks / square meter; according to the Reliability Appraisal Standard for Civil Buildings GB50292-2015, the first preset crack area may be set to 50 square millimeters.

[0131] It can be understood that the embodiments of the present invention determine the structural crack area of ​​any of the structural cracks by identifying the crack area in the crack image through an edge detection algorithm, counting the pixels of the crack area, and converting it into an actual size for calculation. This is a prior art and will not be described in detail here.

[0132] Specifically, in the embodiment of the present invention, the crack distribution density = the number of structural cracks / the area of ​​the structural region.

[0133] Specifically, the step of determining the initial structural safety based on the density comparison result and the proportion comparison result in the embodiment of the present invention includes:

[0134] When the structural crack distribution density is greater than or equal to the first preset distribution density, calculating a density score based on the structural crack distribution density and the first preset distribution density;

[0135] When the structural crack proportion is greater than or equal to the first proportion, a proportion score is calculated based on the structural crack proportion and the first proportion;

[0136] The initial safety score of structural cracks is calculated based on the density score and the proportion score, and the initial structural safety is determined based on the initial safety score of structural cracks.

[0137] It can be understood that, in the embodiment of the present invention, the density score = (structural crack distribution density - first preset distribution density) / first preset distribution density, the proportion score = (structural crack proportion - first proportion) / first proportion, and the initial safety score = density score × proportion score × 10.

[0138] Specifically, the steps of determining the crack influencing factor based on the analysis results of several non-structural crack sizes include:

[0139] Determining a number of non-structural crack areas corresponding to the number of non-structural cracks;

[0140] Identify and mark non-structural cracks in a plurality of non-structural regions whose areas are larger than the area corresponding to the second preset crack area, and obtain marked cracks;

[0141] The marked crack distribution density of the marked cracks is determined, and the crack influencing factor is determined based on a comparison result between the marked crack distribution density and a second preset distribution density.

[0142] It can be understood that the technical means for obtaining the non-structural crack area and the structural crack area are the same, which will not be repeated here.

[0143] Specifically, the second preset crack area in the embodiment of the present invention is 50 square millimeters;

[0144] The second preset distribution density is 0.01 cracks / square meter.

[0145] It can be understood that in an embodiment of the present invention, when the marked crack distribution density is greater than the second preset distribution density, the crack influence factor = k × (marked crack distribution density - second preset distribution density) + basic crack influence factor, wherein the proportional coefficient k is 10, and the basic crack influence factor is 0.5. An example of the crack influence factor is that we assume that we measure non-structural cracks in an area and determine that the distribution density of the marked cracks is 0.02 cracks / square meter, the proportional coefficient k=10, the basic crack influence factor F0=0.5, and the minimum crack influence factor Fmin=0.1. Because Dmarked=0.02>Dpreset=0.01, the crack influence factor is: F=10×(0.02−0.01)+0.5=10×0.01+0.5=0.1+0.5=0.6.

[0146] Specifically, the embodiments of the present invention help to quickly screen out cracks that need special attention by screening and marking non-structural cracks with larger areas, thereby improving analysis efficiency. By calculating the distribution density, the distribution of marked cracks on the surface of the house can be fully understood, thereby more accurately evaluating their impact on the safety of the house.

[0147] It can be understood that the safety of a single house in the embodiment of the present invention is determined by structural safety and settlement safety, and the initial structural safety is determined by the initial safety score and the influencing factor. A possible example of the embodiment of the present invention is to assume that the structural crack distribution density is 0.015 cracks / square meter and the first preset distribution density is 0.01 cracks / square meter. The density comparison result is greater than the first preset distribution density. The area of ​​each structural crack is determined and compared with the first preset crack area (50 square millimeters). Assuming that the structural crack proportion is 0.3 and the first proportion is 0.2, the proportion comparison result is greater than the first proportion. Density score = (structural crack distribution density-first preset distribution density) / first preset distribution density = (0.015-0.01) / 0.01=0.5, proportion score = (structural crack proportion-first proportion) / first proportion = (0.3-0.2) / 0.2=0.5, initial safety score = density score × proportion score × 10 = 0.5 × 0.5 × 10 = 2.5;

[0148] Assuming that the marked crack distribution density is 0.012 cracks / square meter and the second preset distribution density is 0.01 cracks / square meter, the marked crack distribution density is greater than the second preset distribution density, and the crack influence factor = k × (marked crack distribution density - second preset distribution density) + basic crack influence factor. Assuming that the proportional coefficient k is 10 and the basic crack influence factor is 0.5, the crack influence factor = 10 × (0.012-0.01) + 0.5 = 0.2 + 0.5 = 0.7, and the initial structural safety = 0.7 × 2.5 = 1.75, and the initial structural safety is low;

[0149] According to the settlement data monitored by the wireless sensor, determine whether there is abnormal settlement. If the settlement data is within the preset safe settlement range, the settlement safety is relatively high.

[0150] Assuming that the structural safety is low and the settlement safety is high, the overall safety of the house is determined to be lower-medium.

[0151] Specifically, the step of determining the actual safety of any actual building based on the single building safety and the adjacent safety includes:

[0152] Determining a safety impact factor based on the adjacent safety analysis result;

[0153] The actual safety is determined based on the safety impact factor and the safety of the single house.

[0154] Specifically, the calculation method of the safety impact factor in the embodiment of the present invention may be: safety impact factor = (safety of adjacent buildings - safety of a single building) / safety of a single building;

[0155] The actual safety of the embodiment of the present invention = (1 + safety impact factor) × safety of a single building.

[0156] Specifically, the step of adjusting the grid division result based on the abnormal number of abnormal houses in any grid area includes:

[0157] comparing the abnormal quantity with a preset quantity, and determining an adjustment coefficient based on the comparison result;

[0158] The initial grid area is adjusted based on the adjustment coefficient to adjust the grid division result.

[0159] Specifically, the preset number described in the embodiment of the present invention is the average number of abnormal houses in several grid areas.

[0160] Specifically, in the embodiment of the present invention, when the number of anomalies is greater than the preset number, a reduction factor is calculated based on the number of anomalies and the preset number, and the initial grid area is adjusted based on the reduction factor;

[0161] When the number of anomalies is less than or equal to the preset number, an increase factor is calculated based on the number of anomalies and the preset number, and the initial grid area is adjusted based on the increase factor.

[0162] It can be understood that the reduction factor of the embodiment of the present invention = α × (number of abnormalities / preset number), where α is the reduction coefficient, which is a constant greater than 1 and is used to amplify the ratio between the number of abnormalities and the preset number, so as to ensure that the grid area is sufficiently reduced. In this embodiment, α can be selected as 1.5;

[0163] Increase factor = 1 / [β×(preset number / number of anomalies)^θ], where β is the increase coefficient, which is a constant less than or equal to 1 and is used to control the degree of increase. θ is an exponent, which can be a number greater than 0 and less than 1, and is used to control the speed at which the increase factor increases as the number of anomalies decreases. In particular, when the number of anomalies is 0, the increase factor can be directly set to 1, indicating that there is no need to adjust the grid area.

[0164] See also Figure 4 As shown, an embodiment of the present invention also provides a system for a building safety assessment method based on data processing, the system comprising:

[0165] A grid division module 10 is used to divide the area to be detected into grids to obtain a plurality of grid areas;

[0166] A data collection module 20, connected to the grid division module 10, for collecting actual housing data corresponding to a number of housing buildings and any housing building in any grid area;

[0167] A single safety analysis module 30, connected to the data acquisition module 20, is used to analyze any of the actual house data, determine the safety of any house building based on the analysis results, and obtain the safety of a single house;

[0168] An adjacent safety analysis module 40 is used to analyze actual housing data corresponding to housing buildings adjacent to the arbitrary housing building, determine the safety of the adjacent housing buildings based on the analysis results, and obtain adjacent safety;

[0169] A safety determination module 50, connected to the single safety analysis module 30 and the adjacent safety analysis module 40, for determining the actual safety of any actual building based on the single building safety and the adjacent safety;

[0170] A regional safety analysis module 60, connected to the safety determination module 50, is used to determine abnormal houses in any grid area based on a number of actual safety conditions, and to determine the regional house safety of the area to be detected based on the distribution of abnormal houses;

[0171] The grid adjustment module 70 is connected to the regional safety analysis module 60 and is used to adjust the grid division result based on the abnormal number of abnormal houses.

[0172] Specifically, a system for a building safety assessment method based on data processing provided by an embodiment of the present invention can execute the above-mentioned building safety assessment method based on data processing to achieve the same technical effect, which will not be repeated here.

[0173] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0174] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A building safety assessment method based on data processing, characterized in that: include: Divide the area to be detected into grids, obtain a number of grid areas, and collect actual house data corresponding to any house building in any grid area; Analyze any of the actual house data, determine the safety of any house building based on the analysis results, and obtain the safety of a single house; Analyze the actual housing data corresponding to the housing buildings adjacent to the arbitrary housing buildings, determine the safety of the adjacent housing buildings based on the analysis results, and obtain adjacent safety; Determine the actual safety of any actual building based on the single building safety and the adjacent safety; The step of determining the actual safety of any actual building based on the single building safety and the adjacent safety comprises: Determining a safety impact factor based on the adjacent safety analysis result; Determining the actual safety based on the safety impact factor and the safety of the single house; Wherein, the actual safety = (1 + safety impact factor) × safety of a single building; Determine abnormal houses in any grid area based on a number of actual safety factors, determine regional housing safety of the area to be detected based on the distribution of abnormal houses in any grid area, and adjust the grid division result based on the abnormal number of abnormal houses in any grid area; The step of adjusting the grid division result based on the abnormal number of abnormal houses in any grid area comprises: comparing the abnormal quantity with a preset quantity, and determining an adjustment coefficient based on the comparison result; The initial mesh area is adjusted based on the adjustment coefficient to adjust the mesh division result; Wherein, when the number of anomalies is greater than the preset number, a reduction factor is calculated based on the number of anomalies and the preset number, and the initial grid area is adjusted based on the reduction factor; When the number of anomalies is less than or equal to the preset number, calculating an increase factor based on the number of anomalies and the preset number, and adjusting the initial grid area based on the increase factor; Reduction factor = α × (number of abnormalities / preset number), where α is the reduction coefficient, which is a constant greater than 1; Increase factor = 1 / [β×(preset number / abnormal number)^θ], where β is the increase coefficient, which is a constant less than or equal to 1 and is used to control the degree of increase, and θ is an exponent; Among them, the actual house data includes actual crack data and actual settlement data.

2. The building safety assessment method based on data processing according to claim 1 is characterized in that: The steps of meshing the area to be detected include: Determine the boundary information of the area to be detected, and determine the building information in the area to be detected; Determine an initial grid area based on the boundary information and the building information; determining an initial grid shape based on the boundary information; The area to be detected is divided based on the initial grid area and the initial grid shape to obtain a plurality of the grid areas.

3. The building construction safety assessment method based on data processing according to claim 2 is characterized in that: The step of determining the initial grid area based on the building information comprises: Determine the boundary length and boundary shape of the area to be detected; Determine the area of ​​the region to be detected based on the boundary length and the boundary shape; Determine the total number of buildings in the area to be detected; Determine the initial grid area based on the area of ​​the region, the total number of building structures and the number of preset grid houses; Among them, the initial grid area = regional area / (total number of buildings / preset grid number of houses), wherein the preset grid number of houses is the average of the number of houses corresponding to several grids obtained during historical grid division detection.

4. The building construction safety assessment method based on data processing according to claim 3 is characterized in that: The step of determining the safety of any building based on the analysis results comprises: Obtaining a number of actual crack data and a number of actual settlement data of any of the building structures; Analyzing a number of the actual crack data to determine the structural safety of the building; Analyzing a number of the actual settlement data to determine the settlement safety of the building; The safety of any of the individual buildings is determined based on the structural safety and the settlement safety.

5. The building construction safety assessment method based on data processing according to claim 4 is characterized in that: The step of analyzing a plurality of actual crack data to determine the structural safety of the building comprises: Identify a number of actual cracks on the surface of the building based on the image data; Determining positions of the plurality of actual cracks, and dividing the plurality of actual cracks into a plurality of structural cracks and a plurality of non-structural cracks based on the plurality of positions; Analyzing the structural crack distribution density of a number of the structural cracks and the structural crack size of any structural crack, and determining the initial structural safety based on the structural crack distribution and the sizes of the several structural cracks; Analyzing a number of non-structural crack sizes corresponding to the number of non-structural cracks, and determining a crack influencing factor based on the analysis results of the number of non-structural crack sizes; Determining the structural safety based on the initial structural safety and the crack influencing factor; Wherein, the structural safety=initial structural safety×crack influence factor.

6. The building construction safety assessment method based on data processing according to claim 5 is characterized in that: The step of determining the initial structural safety based on the structural crack distribution density and the sizes of several structural cracks comprises: determining the number of structural cracks of a number of said structural cracks; Determine the areas of several structural regions corresponding to the several structural cracks; Determining the structural crack distribution density based on the number of structural cracks and the area of ​​the structural region; Comparing the structural crack distribution density with a first preset distribution density to obtain a density comparison result; determining a structural crack area of ​​any of said structural cracks; The structural crack area is compared with a first preset crack area, and based on the comparison result, a proportion of structural cracks corresponding to a number of structural cracks whose structural crack areas are greater than or equal to the first preset crack area is calculated, and the structural crack proportion is compared with the first proportion to obtain a proportion comparison result; Determining initial structural safety based on the density comparison result and the proportion comparison result; Among them, the initial structural safety = density score × proportion score × 10.

7. The building construction safety assessment method based on data processing according to claim 6 is characterized in that: The steps of determining the crack influencing factor based on the analysis results of several non-structural crack sizes include: Determining a number of non-structural crack areas corresponding to the number of non-structural cracks; Identify and mark non-structural cracks in a plurality of non-structural regions whose areas are larger than the area corresponding to the second preset crack area, and obtain marked cracks; Determine the marked crack distribution density of the marked cracks, and determine the crack influence factor based on a comparison result between the marked crack distribution density and a second preset distribution density; Among them, when the marked crack distribution density is greater than the second preset distribution density, the crack influence factor = k × (marked crack distribution density - second preset distribution density) + basic crack influence factor, wherein the proportional coefficient k is 10 and the basic crack influence factor is 0.

5.

8. A system based on the data processing-based building safety assessment method according to any one of claims 1 to 7, characterized in that: include: A grid division module is used to divide the area to be detected into grids and obtain a number of grid areas; A data collection module, connected to the grid division module, for collecting actual housing data corresponding to a number of housing buildings and any housing building in any grid area; A single safety analysis module, connected to the data acquisition module, for analyzing any of the actual house data, determining the safety of any house building based on the analysis results, and obtaining the safety of a single house; An adjacent safety analysis module, used for analyzing actual housing data corresponding to housing buildings adjacent to the arbitrary housing building, determining the safety of the adjacent housing buildings based on the analysis result, and obtaining adjacent safety; A safety determination module, connected to the single safety analysis module and the adjacent safety analysis module, for determining the actual safety of any actual building based on the single building safety and the adjacent safety; A regional safety analysis module, connected to the safety determination module, for judging abnormal houses in any grid area based on a number of actual safety factors, and determining the regional house safety of the area to be detected based on the distribution of abnormal houses; A grid adjustment module is connected to the regional safety analysis module and is used to adjust the grid division result based on the abnormal number of abnormal houses.

Images