Building safety warning analysis system and method based on image analysis

Abstract

The invention discloses a building safety warning analysis system and method based on image analysis, and belongs to the technical field of image data processing, and the method comprises the steps: obtaining marked building information, a building inclination evaluation result and a building crack evaluation result, and carrying out the building damage evaluation according to a building damage evaluation strategy; vehicle weight, road surface height and elasticity are collected, road surface damage evaluation is carried out according to the road surface damage evaluation strategy, and influence evaluation on the building during vehicle driving is carried out according to the vehicle driving influence evaluation strategy; building comprehensive damage evaluation is carried out according to the building comprehensive damage evaluation strategy; comparing the building comprehensive damage evaluation result with a preset building comprehensive damage threshold value, and analyzing whether the vehicle driving affects the building safety according to a comparison result; according to the invention, building damage and vehicle driving influence are combined to analyze the safety condition of the building, potential safety problems of the building can be accurately and timely responded, personnel safety and property protection are ensured, and the maintenance cost is reduced.

Description

Technical Field

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

[0002] The vibrations generated by vehicles driving can cause damage to building structures, especially for old buildings or buildings with existing cracks. Such vibrations may accelerate the expansion of cracks. Frequent and heavy vehicle traffic will accelerate the damage to roads and foundations, thereby affecting the stability and safety of buildings connected to them. Most existing technologies detect the degree of damage to the building itself, but lack the ability to combine building damage with the impact of vehicle driving to jointly analyze the safety of the building.

[0003] For example, a Chinese patent with application publication number CN118154604A discloses a wall crack diagnosis method, device, computer equipment and storage medium, which relates to the field of wall aging detection, including: collecting and transmitting images of building walls through an image acquisition device; completing preprocessing of building wall images, crack feature extraction and screening, calculating feature parameters required for crack detection and evaluation, and splicing original images and inspection result images through an image processing and analysis system; displaying the location of building wall cracks and classifying them through a data monitoring platform, and estimating their degree of danger. This invention can improve the accuracy of wall detection.

[0004] In order to solve the above problems, the present invention designs a building safety warning analysis system and method based on image analysis. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention proposes a building safety warning analysis system and method based on image analysis. The present invention obtains the marked building information, the building tilt assessment results and the building crack assessment results, and performs a building damage assessment according to the building damage assessment strategy; collects the height and elasticity of the road surface, and performs a road damage assessment according to the road damage assessment strategy; collects the weight of vehicles that need to pass through the building, and performs an impact assessment on the building when the vehicle is driving according to the vehicle driving impact assessment strategy; performs a building comprehensive damage assessment according to the building comprehensive damage assessment strategy; compares the building comprehensive damage assessment results with the preset building comprehensive damage threshold, and analyzes whether the vehicle driving affects the building safety according to the comparison results. The present invention combines building damage and vehicle driving impact to analyze the building safety situation, and can accurately and timely respond to potential safety issues of the building, ensure personnel safety and property protection, and reduce maintenance costs.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The building safety warning analysis method based on image analysis includes the following specific steps:

[0008] S1, collecting and marking building information, building overall pictures and building detail pictures, importing the building overall pictures into the building tilt assessment strategy to perform building tilt assessment, and importing the building detail pictures into the crack assessment strategy to perform building crack assessment;

[0009] S2, obtaining the marked building information, the building tilt assessment results and the building crack assessment results, and performing the building damage assessment according to the building damage assessment strategy;

[0010] S3. Collect the height and elasticity of the road surface, conduct a road damage assessment based on the road damage assessment strategy, collect the weight of vehicles that need to pass through the building, and conduct an impact assessment of the vehicle's travel on the building based on the vehicle travel impact assessment strategy;

[0011] S4, importing the building damage assessment results and the vehicle driving impact assessment results into the building comprehensive damage assessment strategy to conduct a building comprehensive damage assessment;

[0012] S5. Compare the building comprehensive damage assessment result with the preset building comprehensive damage threshold, and analyze whether the vehicle driving affects the building safety based on the comparison result.

[0013] Specifically, S1 includes the following specific steps:

[0014] S11, collecting and marking building information, overall building pictures and building detail pictures, wherein the marked building information includes the length, width, original height, current height, building usage time and building service life of the building, and the marked building information, overall building pictures and building detail pictures are collected by a drone equipped with a laser rangefinder and a camera;

[0015] S12. Preprocess the collected image, wherein the image preprocessing includes image grayscale conversion, and the conversion formula for image grayscale conversion is: c(x,y)=0.299R(x,y)+0.587G(x,y)+0.114B(x,y), wherein (x,y) represents the pixel point at the xth row and yth column in the image, c(x,y) represents the grayscale value of the pixel point at the xth row and yth column in the image, R(x,y) represents the brightness value of the red channel in the image, G(x,y) represents the brightness value of the green channel in the image, and B(x,y) represents the brightness value of the blue channel in the image;

[0016] S13, importing the overall building picture into the building tilt assessment strategy to perform building tilt assessment, wherein the building tilt assessment strategy includes a building tilt calculation formula, and the building tilt calculation formula is: Wherein, arcsin represents the inverse tangent function, x1 represents the horizontal coordinate distance of the building from the coordinate origin of the constructed three-dimensional coordinate system, y1 represents the vertical coordinate distance of the building from the coordinate origin of the constructed three-dimensional coordinate system, z1 represents the current height of the building, and (x0, y0, z0) represents the coordinates of the coordinate origin of the constructed three-dimensional coordinate system;

[0017] S14, importing the building detail picture into the crack assessment strategy to perform building crack assessment, wherein the crack assessment strategy includes a crack area calculation formula, and the crack area calculation formula is: Where u represents the number of cracks, x vmax represents the maximum horizontal coordinate of the circumscribed rectangle of the vth crack, x vmin represents the minimum horizontal coordinate of the bounding rectangle of the vth crack, y vmax represents the maximum ordinate of the bounding rectangle of the vth crack, y vmin Indicates the minimum ordinate of the bounding rectangle of the vth crack.

[0018] Specifically, S2 includes the following specific steps:

[0019] The marked building information, the building tilt assessment result and the building crack assessment result are obtained, and the building damage assessment is performed according to the building damage assessment strategy, wherein the building damage assessment strategy includes a building damage calculation formula, and the building damage calculation formula is: , where z0 represents the original height of the building, |z1-z0| represents the sinking height of the building, and s bm represents the surface area of ​​the building, T represents the building usage time, T max represents the service life of the building, exp() represents the exponential function with the natural constant e as the base, α1 represents the coefficient of sinking height, α2 represents the coefficient of inclination, α3 represents the coefficient of crack area, and α1+α2+α3=1.

[0020] Specifically, S3 includes the following specific steps:

[0021] S31, collecting the height and elasticity of the road surface, wherein the height of the road surface is collected by a level meter, and the elasticity of the road surface is collected by a deflectometer;

[0022] S32, performing a road damage assessment according to a road damage assessment strategy, wherein the road damage assessment strategy includes a road damage value calculation formula, and the road damage value calculation formula is: Where m represents the number of measurement points set, h r represents the road surface height at the rth measurement point, Indicates the average height of the road surface;

[0023] S33, collecting the weight of vehicles that need to pass through the building, wherein the weight of the vehicles is collected by a pressure sensor;

[0024] S34, evaluating the impact of vehicle driving on the building according to the vehicle driving impact evaluation strategy, wherein the vehicle driving impact evaluation strategy includes a vehicle driving impact value calculation formula, and the vehicle driving impact value calculation formula is: Among them, g represents the collected vehicle weight, g1 represents the preset vehicle standard weight, P r represents the road surface elasticity at the rth measuring point, and P1 represents the preset road surface standard elasticity.

[0025] Specifically, S4 includes the following specific steps:

[0026] The building damage assessment results and the vehicle driving impact assessment results are introduced into the building comprehensive damage assessment strategy to conduct building comprehensive damage assessment. The building comprehensive damage assessment strategy includes a building comprehensive damage value calculation formula, and the building comprehensive damage value calculation formula is: zh =β1L jz +β2Y cl , where β1 represents the coefficient of building damage, β2 represents the coefficient of vehicle driving impact, β1+β2=1.

[0027] Specifically, S5 includes the following specific steps:

[0028] The comprehensive building damage assessment result is compared with the preset comprehensive building damage threshold. If the comprehensive building damage assessment result is less than the preset comprehensive building damage threshold, the building is judged to be safe and vehicles can pass normally; if the comprehensive building damage assessment result is greater than or equal to the preset comprehensive building damage threshold, the building is judged to be dangerous and vehicles are notified to prohibit passage.

[0029] The building safety warning analysis system based on image analysis is implemented based on the above-mentioned building safety warning analysis method based on image analysis, and includes a control module, an information acquisition module, a picture acquisition module, a picture analysis module, an information storage module, a tilt assessment module, a crack assessment module, a building damage assessment module, a road damage assessment module, a vehicle impact assessment module, a comprehensive damage assessment module and a safety warning module;

[0030] Specifically, the control module is used to control the operation of the information acquisition module, the image acquisition module, the image analysis module, the information storage module, the tilt assessment module, the crack assessment module, the building damage assessment module, the road damage assessment module, the vehicle impact assessment module, the comprehensive damage assessment module and the safety warning module;

[0031] Specifically, the information acquisition module is used to collect the marked building information, collect the height and elasticity of the road surface, and collect the weight of the vehicle that needs to pass through the building. The picture acquisition module is used to collect the overall building picture and the building detail picture. The picture analysis module is used to perform picture preprocessing on the collected overall building picture and the building detail picture. The information storage module is used to store the marked building information, the height and elasticity of the road surface, the weight of the vehicle, and the preprocessed pictures. The tilt assessment module is used to import the overall building picture into the building tilt assessment strategy to perform building tilt assessment. The crack assessment module is used to import the building detail picture into the crack assessment strategy to perform building crack assessment.

[0032] Specifically, the building damage assessment module is used to obtain marked building information, building tilt assessment results and building crack assessment results, and perform building damage assessment according to the building damage assessment strategy. The pavement damage assessment module is used to import the height and elasticity of the pavement into the pavement damage assessment strategy to perform pavement damage assessment. The vehicle impact assessment module is used to import the weight of the vehicle that needs to pass through the building into the vehicle driving impact assessment strategy to perform impact assessment on the building when the vehicle is driving. The comprehensive damage assessment module is used to import the building damage assessment results and the vehicle driving impact assessment results into the building comprehensive damage assessment strategy to perform building comprehensive damage assessment. The safety warning module is used to analyze whether vehicle driving affects building safety based on the comparison result of the building comprehensive damage assessment result and the preset building comprehensive damage threshold, and warn vehicles that affect building safety.

[0033] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention obtains the marked building information, the building tilt assessment results and the building crack assessment results, and performs the building damage assessment according to the building damage assessment strategy; collects the height and elasticity of the road surface, and performs the road damage assessment according to the road damage assessment strategy; collects the weight of the vehicle that needs to pass through the building, and performs the impact assessment of the vehicle driving on the building according to the vehicle driving impact assessment strategy; performs the building comprehensive damage assessment according to the building comprehensive damage assessment strategy; compares the building comprehensive damage assessment results with the preset building comprehensive damage threshold, and analyzes whether the vehicle driving affects the building safety according to the comparison result. The present invention combines the building damage and the vehicle driving impact to analyze the building safety situation, and can accurately and timely respond to potential safety issues of the building, ensure personnel safety and property protection, and reduce maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 It is a schematic diagram of the flow of the building safety warning analysis method based on image analysis of the present invention;

[0036] Figure 2 It is a schematic diagram of the overall framework of the building safety warning analysis system based on image analysis of the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0038] Example 1

[0039] See also Figure 1 The present invention provides an embodiment: a building safety warning analysis method based on image analysis, comprising the following specific steps:

[0040] S1, collecting and marking building information, building overall pictures and building detail pictures, importing the building overall pictures into the building tilt assessment strategy to perform building tilt assessment, and importing the building detail pictures into the crack assessment strategy to perform building crack assessment;

[0041] In this embodiment, S1 includes the following specific steps:

[0042] S11, collecting and marking building information, overall building pictures and building detail pictures, the marked building information includes the length, width, original height, current height, building usage time and building service life of the building, and the marked building information, overall building pictures and building detail pictures are collected by drones equipped with laser rangefinders and cameras;

[0043] It should be noted that the methods for collecting the original height of the building include:

[0044] Query the original design height of the building according to the original design drawings and planning documents of the building, or use a laser rangefinder or drone to conduct on-site field measurements after the building is completed to obtain the original height of the building.

[0045] The collection methods of building usage time include:

[0046] From the building archives, look up the date the building was completed, which is usually the starting point for when the building began to be used, or contact the building's management to find out how long the building has been in use.

[0047] Methods for collecting building service life include:

[0048] Refer to the relevant specifications and standards for the service life of the building to estimate the service life of the building or entrust a professional organization to conduct a structural assessment of the building and provide an estimate of the service life based on the material and structural condition of the building.

[0049] The steps for drones to collect altitude and pictures are:

[0050] Plan flight path: Plan the flight path and shooting points of the drone based on the building information that needs to be collected;

[0051] Collect the length, width and current height of the building: Start the drone, fly it above or to the side of the building, and use the laser rangefinder on the drone to measure the length, width and current height of the building;

[0052] Collect overall pictures of the building: fly to the appropriate height and angle to ensure that the overall appearance of the building can be fully captured, and take overall pictures of the building from different angles to ensure that the image is clear and the building is fully captured;

[0053] Collecting architectural detail images: Take detailed photos of specific parts of the building (such as windows, doors, crack surfaces, etc.) to capture detailed features;

[0054] Data synchronization and backup: After acquisition, synchronize the photos and data in the drone to a computer or other storage device.

[0055] S12. Preprocess the collected images, including grayscale conversion. The conversion formula for grayscale conversion is: c(x,y)=0.299R(x,y)+0.587G(x,y)+0.114B(x,y), where (x,y) represents the pixel at the xth row and yth column in the image, c(x,y) represents the grayscale value of the pixel at the xth row and yth column in the image, R(x,y) represents the brightness value of the red channel in the image, G(x,y) represents the brightness value of the green channel in the image, and B(x,y) represents the brightness value of the blue channel in the image;

[0056] S13, importing the overall building picture into the building tilt assessment strategy to perform building tilt assessment, the building tilt assessment strategy includes a building tilt calculation formula, and the building tilt calculation formula is: Wherein, arcsin represents the inverse tangent function, x1 represents the horizontal coordinate distance of the building from the coordinate origin of the constructed three-dimensional coordinate system, y1 represents the vertical coordinate distance of the building from the coordinate origin of the constructed three-dimensional coordinate system, z1 represents the current height of the building, and (x0, y0, z0) represents the coordinates of the coordinate origin of the constructed three-dimensional coordinate system;

[0057] It should be noted here that the three-dimensional coordinate system is constructed as follows: treat the building as a rectangular parallelepiped, find the point N1 on the top of the building that is farthest from the original building, use the line perpendicular to the ground from this point as the Z axis, use the point perpendicular to the ground as the coordinate origin, use the line connecting the coordinate origin and the vertex N2 at the lower left corner of the front of the building as the X axis, and use the line connecting the coordinate origin and the upper vertex N3 at the bottom of the left side of the building as the Y axis.

[0058] S14, importing the building detail image into the crack assessment strategy to conduct building crack assessment, the crack assessment strategy includes a crack area calculation formula, and the crack area calculation formula is: Where u represents the number of cracks, x vmax represents the maximum horizontal coordinate of the circumscribed rectangle of the vth crack, x vmin represents the minimum horizontal coordinate of the bounding rectangle of the vth crack, y vmax represents the maximum ordinate of the bounding rectangle of the vth crack, y vmin Indicates the minimum ordinate of the bounding rectangle of the vth crack.

[0059] It should be noted here that the coordinates for obtaining the crack area are constructed in the following way: the bottom side of the crack's minimum circumscribed rectangle is used as the horizontal coordinate, the straight line perpendicular to the bottom side is used as the vertical coordinate, and the left vertex of the bottom side is used as the coordinate origin.

[0060] S2, obtaining the marked building information, the building tilt assessment results and the building crack assessment results, and performing the building damage assessment according to the building damage assessment strategy;

[0061] In this embodiment, S2 includes the following specific steps:

[0062] Obtain the marked building information, building tilt assessment results and building crack assessment results, and perform building damage assessment according to the building damage assessment strategy. The building damage assessment strategy includes a building damage calculation formula, which is: , where z0 represents the original height of the building, |z1-z0| represents the sinking height of the building, and s bm represents the surface area of ​​the building, T represents the building usage time, T maxrepresents the service life of the building, exp() represents the exponential function with the natural constant e as the base, α1 represents the coefficient of sinking height, α2 represents the coefficient of inclination, α3 represents the coefficient of crack area, and α1+α2+α3=1.

[0063] It should be noted here that, for the convenience of calculation, s bm ≈2(bc+bz1+cz1), where b represents the width of the building and c represents the length of the building.

[0064] S3. Collect the height and elasticity of the road surface, conduct a road damage assessment based on the road damage assessment strategy, collect the weight of vehicles that need to pass through the building, and conduct an impact assessment of the vehicle's travel on the building based on the vehicle travel impact assessment strategy;

[0065] In this embodiment, S3 includes the following specific steps:

[0066] S31, collecting the height and elasticity of the road surface, wherein the height of the road surface is collected by a level meter, and the elasticity of the road surface is collected by a deflectometer;

[0067] It should be noted here that the specific steps for collecting road height are:

[0068] Set measuring points on the road surface at certain intervals, and adjust the reading on the level rod to the eye level by rotating the telescope on the level; record the reading at each measuring point, and then calculate the average of these readings to get the average height of the road surface.

[0069] Specific steps for collecting pavement elasticity:

[0070] Select appropriate elastic test methods according to needs, such as deflection test, falling weight deflectometer (FWD) or dynamic cone penetration test (DCT);

[0071] The measurement steps of the dynamic cone penetration test (DCT) are as follows: use a device with a cone head to dynamically impact the road surface, measure the depth of the cone head penetrating the road surface, place the device on the road surface, then release the weight to make it fall freely to impact the cone head, and record the penetration depth of the cone head. The penetration depth is related to the elastic modulus of the road surface, and the elastic modulus of the road surface can be obtained by comparing with the standard curve;

[0072] The measurement steps of the falling weight deflectometer (FWD) are as follows: place a sensor on the road surface, use a falling weight to generate a load, record the load and the corresponding deflection value, and calculate the elastic modulus and deflection coefficient of the road surface through the load-deflection curve;

[0073] The measurement steps of the deflection test are: use a deflectometer to apply a certain pressure to the road surface, and then measure the deflection of the road surface. The deflectometer is placed on the road surface, and the deformation of the road surface is measured by loading or unloading. The elastic modulus and stiffness of the road surface can be estimated through the deflection value.

[0074] Select multiple test locations evenly on the road surface to ensure that these locations can represent the elasticity of the entire road surface. Perform tests at each test location and record the test results.

[0075] To ensure the accuracy of the data, repeated tests should be performed at different times or conditions and the results compared.

[0076] S32, performing a road damage assessment according to a road damage assessment strategy, wherein the road damage assessment strategy includes a road damage value calculation formula, which is: Where m represents the number of measurement points set, h r represents the road surface height at the rth measurement point, Indicates the average height of the road surface;

[0077] S33, collecting the weight of vehicles that need to pass through the building, and the vehicle weight is collected through a pressure sensor;

[0078] It should be noted here that the measurement steps of the pressure sensor are as follows: install the pressure sensor at the lower front side of the road next to the building; in the absence of vehicle load, adjust the sensor to the initial state and calibrate to ensure accurate reading of the pressure value. When the vehicle passes the sensor normally, the sensor converts the pressure change it senses into an electrical signal, which is then amplified and processed and converted into a digital signal; according to the calibration parameters of the sensor, the electrical signal is converted into an actual weight value; the converted weight value is displayed on the instrument or transmitted to a computer or data processing system through a data interface; in order to improve accuracy, ensure that the system has adequate safety protection measures, such as overload protection, as well as dust and water proofing measures in harsh environments.

[0079] S34. Evaluate the impact of vehicle driving on the building according to the vehicle driving impact evaluation strategy. The vehicle driving impact evaluation strategy includes a vehicle driving impact value calculation formula. The vehicle driving impact value calculation formula is: Among them, g represents the collected vehicle weight, g1 represents the preset vehicle standard weight, P r represents the road surface elasticity at the rth measuring point, and P1 represents the preset road surface standard elasticity.

[0080] S4, importing the building damage assessment results and the vehicle driving impact assessment results into the building comprehensive damage assessment strategy to conduct a building comprehensive damage assessment;

[0081] In this embodiment, S4 includes the following specific steps:

[0082] The building damage assessment results and vehicle driving impact assessment results are introduced into the building comprehensive damage assessment strategy to conduct building comprehensive damage assessment. The building comprehensive damage assessment strategy includes a building comprehensive damage value calculation formula, which is: L zh =β1L jz +β2Y cl , where β1 represents the coefficient of building damage, β2 represents the coefficient of vehicle driving impact, β1+β2=1.

[0083] S5. Compare the building comprehensive damage assessment result with the preset building comprehensive damage threshold, and analyze whether the vehicle driving affects the building safety based on the comparison result.

[0084] In this embodiment, S5 includes the following specific steps:

[0085] The comprehensive building damage assessment result is compared with the preset comprehensive building damage threshold. If the comprehensive building damage assessment result is less than the preset comprehensive building damage threshold, the building is judged to be safe and vehicles can pass normally; if the comprehensive building damage assessment result is greater than or equal to the preset comprehensive building damage threshold, the building is judged to be dangerous and vehicles are notified to prohibit passage.

[0086] It should be noted here that the values ​​of the sinking height ratio coefficient, the inclination ratio coefficient, the crack area ratio coefficient, the building damage ratio coefficient, the vehicle driving impact ratio coefficient, the preset vehicle standard weight, the preset pavement standard elasticity and the preset building comprehensive damage threshold are obtained as follows: 200 buildings with safety hazards and 2,000 vehicles of different weights are selected, and pavement information, vehicle information, building information, overall building pictures and building detail pictures are collected. The overall building pictures are imported into the building inclination assessment strategy for building inclination assessment, and the building detail pictures are imported into the crack assessment strategy for building crack assessment. The building damage assessment strategy is used to build the building. The road surface information is imported into the road surface damage assessment strategy to conduct road surface damage assessment, the impact of vehicle driving on the building is assessed according to the vehicle driving impact assessment strategy, and the comprehensive building damage assessment is conducted according to the comprehensive building damage assessment strategy; experts in the construction industry are hired to assess vehicle traffic, and the expert's assessment results and the calculated comprehensive damage value are imported into the fitting software to output a set of sinking height ratio coefficient, inclination ratio coefficient, crack area ratio coefficient, building damage ratio coefficient, vehicle driving impact ratio coefficient, preset vehicle standard weight, preset road surface standard elasticity and preset building comprehensive damage threshold values ​​with the highest accuracy.

[0087] Example 2

[0088] See also Figure 2, a building safety warning analysis system based on image analysis, implemented based on the above-mentioned building safety warning analysis method based on image analysis, includes a control module, an information acquisition module, a picture acquisition module, a picture analysis module, an information storage module, a tilt assessment module, a crack assessment module, a building damage assessment module, a road damage assessment module, a vehicle impact assessment module, a comprehensive damage assessment module and a safety warning module;

[0089] In this embodiment, the control module is used to control the operation of the information acquisition module, the image acquisition module, the image analysis module, the information storage module, the tilt assessment module, the crack assessment module, the building damage assessment module, the road damage assessment module, the vehicle impact assessment module, the comprehensive damage assessment module and the safety warning module;

[0090] In this embodiment, the information collection module is used to collect the marked building information, collect the height and elasticity of the road surface, and collect the weight of the vehicle that needs to pass through the building. The picture collection module is used to collect the overall building picture and the building detail picture. The picture analysis module is used to perform picture preprocessing on the collected overall building picture and the building detail picture. The information storage module is used to store the marked building information, the height and elasticity of the road surface, the weight of the vehicle, and the preprocessed pictures. The tilt assessment module is used to import the overall building picture into the building tilt assessment strategy to perform building tilt assessment. The crack assessment module is used to import the building detail picture into the crack assessment strategy to perform building crack assessment.

[0091] In this embodiment, the building damage assessment module is used to obtain marked building information, building tilt assessment results and building crack assessment results, and perform building damage assessment according to the building damage assessment strategy. The pavement damage assessment module is used to import the height and elasticity of the pavement into the pavement damage assessment strategy to perform pavement damage assessment. The vehicle impact assessment module is used to import the weight of the vehicle that needs to pass through the building into the vehicle driving impact assessment strategy to perform an impact assessment on the building when the vehicle is driving. The comprehensive damage assessment module is used to import the building damage assessment results and the vehicle driving impact assessment results into the building comprehensive damage assessment strategy to perform a building comprehensive damage assessment. The safety warning module is used to analyze whether the vehicle driving affects the building safety based on the comparison result of the building comprehensive damage assessment result and the preset building comprehensive damage threshold, and warn the vehicle that affects the building safety.

[0092] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0093] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0094] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only one way. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces. The indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0095] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can well understand and use the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A building safety warning analysis method based on image analysis, characterized in that: The specific steps include: S1, collecting and marking building information, building overall pictures and building detail pictures, importing the building overall pictures into the building tilt assessment strategy to perform building tilt assessment, and importing the building detail pictures into the crack assessment strategy to perform building crack assessment; S2, obtaining the marked building information, the building tilt assessment results and the building crack assessment results, and performing the building damage assessment according to the building damage assessment strategy; S3. Collect the height and elasticity of the road surface, conduct a road damage assessment based on the road damage assessment strategy, collect the weight of vehicles that need to pass through the building, and conduct an impact assessment of the vehicle's travel on the building based on the vehicle travel impact assessment strategy; S4, importing the building damage assessment results and the vehicle driving impact assessment results into the building comprehensive damage assessment strategy to conduct a building comprehensive damage assessment; S5. Compare the building comprehensive damage assessment result with the preset building comprehensive damage threshold, and analyze whether the vehicle driving affects the building safety based on the comparison result.

2. The building safety warning analysis method based on image analysis according to claim 1, characterized in that: The S1 comprises the following specific steps: S11, collecting and marking building information, overall building pictures and building detail pictures, wherein the marked building information includes the length, width, original height, current height, building usage time and building service life of the building, and the marked building information, overall building pictures and building detail pictures are collected by a drone equipped with a laser rangefinder and a camera; S12. Perform image preprocessing on the collected image, wherein the image preprocessing includes image grayscale conversion, and the conversion formula for image grayscale conversion is: c(x,y)=0.299R(x,y)+0.587G(x,y)+0.114B(x,y), wherein (x,y) represents the pixel point at the xth row and yth column in the image, c(x,y) represents the grayscale value of the pixel point at the xth row and yth column in the image, R(x,y) represents the brightness value of the red channel in the image, G(x,y) represents the brightness value of the green channel in the image, and B(x,y) represents the brightness value of the blue channel in the image.

3. The building safety warning analysis method based on image analysis according to claim 1, characterized in that: The S1 also includes the following specific steps: S13, importing the overall building picture into the building tilt assessment strategy to perform building tilt assessment, wherein the building tilt assessment strategy includes a building tilt calculation formula, and the building tilt calculation formula is: Wherein, arcsin represents the inverse tangent function, x1 represents the horizontal coordinate distance of the building from the coordinate origin of the constructed three-dimensional coordinate system, y1 represents the vertical coordinate distance of the building from the coordinate origin of the constructed three-dimensional coordinate system, z1 represents the current height of the building, and (x0, y0, z0) represents the coordinates of the coordinate origin of the constructed three-dimensional coordinate system; S14, importing the building detail picture into the crack assessment strategy to perform building crack assessment, wherein the crack assessment strategy includes a crack area calculation formula, and the crack area calculation formula is: Where u represents the number of cracks, x vmax represents the maximum horizontal coordinate of the circumscribed rectangle of the vth crack, x vmin represents the minimum horizontal coordinate of the bounding rectangle of the vth crack, y vmax represents the maximum ordinate of the bounding rectangle of the vth crack, y vmin Indicates the minimum ordinate of the bounding rectangle of the vth crack.

4. The building safety warning analysis method based on image analysis as claimed in claim 3, characterized in that: The S2 comprises the following specific steps: The marked building information, the building tilt assessment result and the building crack assessment result are obtained, and the building damage assessment is performed according to the building damage assessment strategy, wherein the building damage assessment strategy includes a building damage calculation formula, and the building damage calculation formula is: , where z0 represents the original height of the building, |z1-z0| represents the sinking height of the building, and s bm represents the surface area of ​​the building, T represents the building usage time, T max represents the service life of the building, exp() represents the exponential function with the natural constant e as the base, α1 represents the coefficient of sinking height, α2 represents the coefficient of inclination, α3 represents the coefficient of crack area, and α1+α2+α3=1.

5. The building safety warning analysis method based on image analysis according to claim 4, characterized in that: The S3 includes the following specific steps: S31, collecting the height and elasticity of the road surface, wherein the height of the road surface is collected by a level meter, and the elasticity of the road surface is collected by a deflectometer; S32, performing a road damage assessment according to a road damage assessment strategy, wherein the road damage assessment strategy includes a road damage value calculation formula, and the road damage value calculation formula is: Where m represents the number of measurement points set, h r represents the road surface height at the rth measurement point, Indicates the average height of the road surface; S33, collecting the weight of vehicles that need to pass through the building, wherein the weight of the vehicles is collected by a pressure sensor; S34, evaluating the impact of vehicle driving on the building according to the vehicle driving impact evaluation strategy, wherein the vehicle driving impact evaluation strategy includes a vehicle driving impact value calculation formula, and the vehicle driving impact value calculation formula is: Among them, g represents the collected vehicle weight, g1 represents the preset vehicle standard weight, P r represents the road surface elasticity at the rth measuring point, and P1 represents the preset road surface standard elasticity.

6. The building safety warning analysis method based on image analysis according to claim 5, characterized in that: The S4 comprises the following specific steps: The building damage assessment results and the vehicle driving impact assessment results are introduced into the building comprehensive damage assessment strategy to conduct building comprehensive damage assessment. The building comprehensive damage assessment strategy includes a building comprehensive damage value calculation formula, and the building comprehensive damage value calculation formula is: zh =β1L jz +β2Y cl , where β1 represents the coefficient of building damage, β2 represents the coefficient of vehicle driving impact, β1+β2=1.

7. The building safety warning analysis method based on image analysis according to claim 6, characterized in that: The S5 comprises the following specific steps: Compare the building comprehensive damage assessment result with the preset building comprehensive damage threshold. If the building comprehensive damage assessment result is less than the preset building comprehensive damage threshold, the building is judged to be safe and vehicles can pass normally. If the comprehensive building damage assessment result is greater than or equal to the preset comprehensive building damage threshold, the building is judged to be dangerous and vehicles are notified to prohibit passage.

8. A building safety warning analysis system based on image analysis, implemented as the building safety warning analysis method based on image analysis according to any one of claims 1 to 7, characterized in that: The system comprises a control module, an information collection module, an image collection module, an image analysis module, an information storage module, a tilt assessment module, a crack assessment module, a building damage assessment module, a road surface damage assessment module, a vehicle impact assessment module, a comprehensive damage assessment module and a safety warning module. The control module is used to control the operation of the information collection module, the image collection module, the image analysis module, the information storage module, the tilt assessment module, the crack assessment module, the building damage assessment module, the road surface damage assessment module, the vehicle impact assessment module, the comprehensive damage assessment module and the safety warning module.

9. The building safety warning analysis system based on image analysis as claimed in claim 8, characterized in that: The information acquisition module is used to collect marked building information, collect the height and elasticity of the road surface, and collect the weight of vehicles that need to pass through the building. The picture acquisition module is used to collect the overall building picture and the building detail picture. The picture analysis module is used to perform picture preprocessing on the collected overall building picture and the building detail picture. The information storage module is used to store the marked building information, the height and elasticity of the road surface, the weight of the vehicle and the preprocessed pictures. The tilt assessment module is used to import the overall building picture into the building tilt assessment strategy to perform building tilt assessment. The crack assessment module is used to import the building detail picture into the crack assessment strategy to perform building crack assessment.

10. The building safety warning analysis system based on image analysis as claimed in claim 9, characterized in that: The building damage assessment module is used to obtain marked building information, building tilt assessment results and building crack assessment results, and perform building damage assessment according to the building damage assessment strategy. The pavement damage assessment module is used to import the height and elasticity of the pavement into the pavement damage assessment strategy to perform pavement damage assessment. The vehicle impact assessment module is used to import the weight of vehicles that need to pass through the building into the vehicle driving impact assessment strategy to perform impact assessment on the building when the vehicle is driving. The comprehensive damage assessment module is used to import the building damage assessment results and the vehicle driving impact assessment results into the building comprehensive damage assessment strategy to perform building comprehensive damage assessment. The safety warning module is used to analyze whether vehicle driving affects building safety based on the comparison result of the building comprehensive damage assessment result and the preset building comprehensive damage threshold, and warn vehicles that affect building safety.

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