Building detection and identification method and system

Abstract

The invention discloses a building detection and identification method and system, and relates to the technical field of building engineering quality detection.The building detection and identification method comprises the steps that a position deviation coefficient of a building component, a building component size deviation coefficient and a building engineering shape evaluation coefficient are analyzed, a building structure deviation index is calculated, and a building wind resistance analysis instruction is sent outwards; after a building wind resistance analysis instruction is received, the wind resistance coefficient of each measurement point of the building is calculated according to the wind pressure, the vortex shedding frequency and the displacement of each measurement point on the surface of the building and the environment wind coefficient of the building, and a building wind resistance weak point is marked; and a wind resistance prediction model of the building wind resistance weak point is constructed, the wind resistance coefficient of the building wind resistance weak point under the maximum environment wind coefficient is predicted, the maximum wind resistance coefficient prediction value of the building wind resistance weak point is determined, and different wind resistance early warning processing strategies are selected. And the damage risk of the building in strong wind weather can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of construction engineering quality detection, and in particular to a construction detection and identification method and system. Background Art

[0002] With the continuous advancement of science and technology and the rapid development of the construction industry, the construction engineering quality inspection data analysis management system and its methods based on big data have gradually become a research hotspot in the industry. In the field of construction engineering, quality is the lifeline of the project and is related to the service life and safety of the building. Traditional engineering quality inspection and analysis management methods often rely on manual inspections and paper records. This method is not only inefficient, but also has a small amount of data collection, making it difficult to achieve comprehensive and real-time monitoring of the construction process of the construction project. Therefore, the development of a building inspection and identification system is of great significance for optimizing resource allocation, ensuring construction quality, and reducing safety risks.

[0003] In the Chinese invention application with application publication number CN118644046A, a green intelligent management and control method and system based on big data is disclosed, which relates to the field of construction monitoring technology. The system, by adopting BIM modeling technology and real-time monitoring system, can fully and accurately simulate the entire construction process, timely discover and solve potential construction problems, thereby improving construction quality and reducing conflicts and errors. Intelligent control further optimizes the construction environment, improves construction efficiency, ensures that the project is completed on time, and comprehensively improves the management level of the construction site. Through the precise monitoring and intelligent control of energy by the real-time monitoring system, the system reduces energy waste and improves energy utilization efficiency, thereby reducing the negative impact on the environment and making the construction process more environmentally friendly and sustainable. In addition, real-time monitoring of power supply anomalies helps to timely discover potential safety hazards, and the system can implement emergency measures to improve the safety of the construction site.

[0004] In the above invention application, the construction quality of the project is inspected through the three technologies of modeling technology, camera technology and sensor system. The decoration construction quality evaluation system based on the analysis of power supply quality and environmental quality test results determines whether the project needs to be reworked or additional personnel are dispatched. However, under extreme weather conditions such as typhoons, the stability of the building is directly related to the life safety of residents and users. If the building's typhoon resistance is insufficient, it may lead to serious consequences such as structural damage and collapse, seriously threatening people's lives.

[0005] To this end, the present invention provides a building detection and identification method and system. Summary of the invention

[0006] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides a building inspection and identification method and system, which analyzes the position deviation coefficient Jw of building components, the size deviation coefficient Jc of building components and the shape evaluation coefficient of building engineering. Tp , calculate the building structure deviation index Jpz, send out building wind resistance analysis instructions, mark the building wind resistance weak points, determine the maximum wind resistance coefficient prediction value Yc of the building wind resistance weak points, and select different wind resistance early warning processing strategies. It can reduce the risk of damage to buildings in strong wind weather and reduce the economic losses of buildings caused by wind disasters, including maintenance costs, reconstruction costs, etc., thereby solving the technical problems recorded in the background technology.

[0007] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: a building detection and identification method, comprising the following steps: Analyze the position deviation coefficient Jw of building components, the size deviation coefficient Jc of building components and the evaluation coefficient of building engineering shape Tp , calculate the building structure deviation index Jpz, and send building wind resistance analysis instructions to the outside; After receiving the building wind resistance analysis command, the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd are measured, and the building's ambient wind coefficient Hfx is calculated based on the wind pressure at each measuring point on the building surface. , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx , marking the building’s weak points in wind resistance; Obtain the wind resistance coefficient of the building's wind-resistant weak points under different environmental wind coefficients, construct a wind resistance prediction model for the building's wind-resistant weak points, predict the wind resistance coefficient of the building's wind-resistant weak points under the maximum environmental wind coefficient, determine the maximum wind resistance coefficient prediction value Yc of the building's wind-resistant weak points, and select different wind resistance warning processing strategies.

[0008] Furthermore, the actual position of each structural component of the building is measured using a total station, and the position of the structural components on the design drawings is compared and analyzed to sort out the position deviation coefficient of each structural component. , calculate the building component position deviation coefficient Jw:

[0009] in, k Indicates the number of each structural component of the building. k =1, 2, …, a , a is the total number of structural components of the building, and the position deviation coefficient is (actual position - design position) / design position.

[0010] Furthermore, the actual dimensions of each structural component are measured using a total station, compared with the dimensions of the structural components on the design drawings, and the dimensional deviation coefficients of each structural component are sorted out. , calculate the building component size deviation coefficient Jc:

[0011] Among them, the dimensional deviation coefficient of each structural component is It is the sum of the component length deviation coefficient, width deviation coefficient and height deviation coefficient, that is, (actual length - design length) / design length + (actual width - design width) / design width + (actual height - design height) / design height.

[0012] Furthermore, a total station is used to measure the vertical deviation between each floor of the building. The flatness deviation of each floor of the construction project , calculate and obtain the building engineering shape evaluation coefficient Tp :

[0013] in, i Indicates the number of each floor of the building. i =1, 2, ..., n, where n is the total number of floors of the building, is the standard verticality deviation, is the standard flatness deviation; Verticality deviation It is the distance difference between the top and bottom of the building wall and any plane perpendicular to the ground, the horizontal deviation It refers to the maximum height difference of the ground within a certain range.

[0014] The following are common engineering verticality deviations and flatness standards: Cast-in-place concrete structural wall and column components: when the floor height is ≤5m, the verticality deviation between floors is ≤8mm; when the floor height is >5m, the verticality deviation between floors is ≤10mm.

[0015] The distance between flatness measurement points is required to be less than 1m, the general flatness deviation is ≤8mm; the precision flatness deviation is ≤5mm; the special flatness deviation is ≤3mm.

[0016] Furthermore, the building component position deviation coefficient Jw, building component size deviation coefficient Jc and building engineering shape evaluation coefficient are obtained. Tp , calculate the building structure deviation index Jpz:

[0017] in, is the standard value of the position deviation coefficient of the building component, is the standard value of the building component size deviation coefficient, is the standard value of the building engineering shape evaluation coefficient; When the building structure deviation index Jpz exceeds 0.1, a building wind resistance analysis instruction is sent out.

[0018] Furthermore, after receiving the building wind resistance analysis instruction, the laser Doppler velocimeter is used to measure the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd, and the building's ambient wind coefficient Hfx is calculated:

[0019] in, is the maximum ambient wind speed of the building, is the maximum ambient wind force of the building, is the maximum environmental turbulence of the building, which is obtained based on the historical meteorological data of the area where the building is located.

[0020] Furthermore, multiple measuring points are evenly arranged on the building surface, and wind pressure sensors are installed at each measuring point to detect the wind pressure at each measuring point on the building surface. The hot wire anemometer is used to measure the air velocity at each measuring point on the building surface. By analyzing the fluctuation of the air velocity, the vortex shedding frequency at each measuring point is calculated. , using a total station to measure the displacement of each measuring point on the building surface .

[0021] Furthermore, according to the wind pressure at each measuring point on the building surface , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx :

[0022] in, j Indicates the sequential number of each measuring point of the building. j =1, 2, …, m , m is the total number of building measurement points.

[0023] Furthermore, the wind resistance coefficient of each measuring point of the building After sorting from large to small, the top ten measurement points are marked as the building's weak points in wind resistance.

[0024] The wind resistance coefficients of the building's wind-resistant weak points under different environmental wind coefficients are obtained, part of the data is selected as sample data, and a wind resistance prediction model for the building's wind-resistant weak points is constructed based on the supervised learning algorithm. After sample data training and testing, the wind resistance prediction model for the building's wind-resistant weak points is output.

[0025] Furthermore, according to the maximum ambient wind speed of the building , the maximum ambient wind force of the building , and the maximum ambient turbulence of the building , calculate the maximum ambient wind coefficient of the area where the building is located, that is, ln2.

[0026] The maximum environmental wind coefficient of the area where the building is located is introduced into the wind resistance prediction model of the building's wind-resistant weak points to predict the wind resistance coefficient of the building's wind-resistant weak points under the maximum environmental wind coefficient, and the maximum wind resistance coefficient prediction value Yc of the building's wind-resistant weak points is determined.

[0027] Furthermore, the maximum wind resistance coefficient prediction value Yc of the building's wind resistance weak point is obtained to judge the wind resistance safety of the building and select different wind resistance warning processing strategies, specifically: When Yc When the second wind resistance threshold is reached, the feedback is that the current building's wind resistance is safe and no measures need to be taken. Monitoring should be continued to prevent abnormal situations.

[0028] When the second wind resistance threshold When the building is located in a typhoon area, a Level 2 wind safety warning command will be issued to reinforce the building's weak points in wind resistance.

[0029] When the first wind resistance threshold When the wind resistance of the current building is low, it is fed back and a level 1 wind resistance safety warning order is issued, requiring repair intervention on the current building to eliminate potential wind resistance safety hazards.

[0030] Among them, the second wind resistance threshold is , the first wind resistance threshold is , represents the mean of the historical maximum wind resistance coefficient prediction values, Represents the variance of the predicted value of the historical maximum wind resistance coefficient.

[0031] A building detection and identification system, comprising: Building structure deviation analysis module, analyzes the position deviation coefficient Jw of building components, the size deviation coefficient Jc of building components and the shape evaluation coefficient of building engineering Tp , calculate the building structure deviation index Jpz, and send building wind resistance analysis instructions to the outside; The building wind resistance weak point analysis module measures the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd after receiving the building wind resistance analysis command, calculates the building's ambient wind coefficient Hfx, and calculates the wind pressure at each measuring point on the building surface. , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx , marking the building’s weak points in wind resistance; The building wind resistance warning module obtains the wind resistance coefficient of the building's wind resistance weak points under different environmental wind coefficients, constructs a wind resistance prediction model for the building's wind resistance weak points, predicts the wind resistance coefficient of the building's wind resistance weak points under the maximum environmental wind coefficient, determines the maximum wind resistance coefficient prediction value Yc of the building's wind resistance weak points, and selects different wind resistance warning processing strategies.

[0032] (III) Beneficial effects The present invention provides a building detection and identification method, which has the following beneficial effects: 1. Analyze the position deviation coefficient Jw of building components, the size deviation coefficient Jc of building components and the evaluation coefficient of building engineering shape Tp , calculate the building structure deviation index Jpz, send out building wind resistance analysis instructions, conduct an overall assessment of the building structure, understand the degree of structural deviation and possible problems, and provide a basis for taking corresponding reinforcement and improvement measures.

[0033] 2. After receiving the building wind resistance analysis command, measure the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd, calculate the building's ambient wind coefficient Hfx, and calculate the wind pressure at each measuring point on the building surface. , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx , marking the building's wind-resistant weak points, can accurately identify which parts of the building are more susceptible to wind force, and focus on these areas when a typhoon comes.

[0034] 3. Obtain the wind resistance coefficient of the building's wind-resistant weak points under different environmental wind coefficients, construct a wind resistance prediction model for the building's wind-resistant weak points, predict the wind resistance coefficient of the building's wind-resistant weak points under the maximum environmental wind coefficient, determine the maximum wind resistance coefficient prediction value Yc of the building's wind-resistant weak points, and select different wind resistance warning processing strategies to reduce the risk of damage to buildings in strong wind weather and reduce the economic losses caused by wind disasters to buildings, including maintenance costs, reconstruction costs, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic diagram of a flow chart of a building detection and identification method of the present invention; Figure 2 The present invention is a structural schematic diagram of a building detection and identification system. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 The present invention provides a building detection and identification method, comprising the following steps: Step 1: Analyze the position deviation coefficient Jw of building components, the size deviation coefficient Jc of building components and the evaluation coefficient of building engineering shape Tp , calculate the building structure deviation index Jpz, and send building wind resistance analysis instructions to the outside.

[0038] The step 1 includes the following contents: Step 101: Use a total station to measure the actual position of each structural component of the building (such as columns, beams, walls, etc.), compare and analyze the position of the structural components on the design drawings, and sort out the position deviation coefficients of each structural component. , calculate the building component position deviation coefficient Jw:

[0039] in, k Indicates the number of each structural component of the building. k =1, 2, …, a , a is the total number of structural components of the building, and the position deviation coefficient is (actual position - design position) / design position.

[0040] Step 102: Use a total station to measure the actual dimensions (such as length, width, and height) of each structural component, compare and analyze the dimensions of the structural components on the design drawings, and sort out the dimensional deviation coefficients of each structural component. , calculate the building component size deviation coefficient Jc:

[0041] Among them, the dimensional deviation coefficient of each structural component is It is the sum of the component length deviation coefficient, width deviation coefficient and height deviation coefficient, that is, (actual length - design length) / design length + (actual width - design width) / design width + (actual height - design height) / design height.

[0042] Step 103: Use a total station to measure the vertical deviation between each floor of the building The flatness deviation of each floor of the construction project , calculate and obtain the building engineering shape evaluation coefficient Tp :

[0043] in, i Indicates the number of each floor of the building. i =1, 2, ..., n, where n is the total number of floors of the building, is the standard verticality deviation, is the standard flatness deviation.

[0044] Verticality deviation It is the distance difference between the top and bottom of the building wall and any plane perpendicular to the ground, the horizontal deviation It refers to the maximum height difference of the ground within a certain range.

[0045] The following are common engineering verticality deviations and flatness standards: Cast-in-place concrete structural wall and column components: when the floor height is ≤5m, the verticality deviation between floors is ≤8mm; when the floor height is >5m, the verticality deviation between floors is ≤10mm.

[0046] The distance between flatness measurement points is required to be less than 1m, the general flatness deviation is ≤8mm; the precision flatness deviation is ≤5mm; the special flatness deviation is ≤3mm.

[0047] Step 104: Obtain the building component position deviation coefficient Jw, the building component size deviation coefficient Jc and the building engineering shape evaluation coefficient Tp , calculate the building structure deviation index Jpz:

[0048] in, is the standard value of the position deviation coefficient of the building component, is the standard value of the building component size deviation coefficient, It is the standard value of the building engineering shape evaluation coefficient.

[0049] When the building structure deviation index Jpz exceeds 0.1, a building wind resistance analysis instruction is sent out.

[0050] When using, combine the contents in steps 101 to 104: Analyze the position deviation coefficient Jw of building components, the size deviation coefficient Jc of building components and the evaluation coefficient of building engineering shape Tp , calculate the building structure deviation index Jpz, send out building wind resistance analysis instructions, conduct an overall assessment of the building structure, understand the degree of structural deviation and possible problems, and provide a basis for taking corresponding reinforcement and improvement measures.

[0051] Step 2: After receiving the building wind resistance analysis command, measure the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd, calculate the building's ambient wind coefficient Hfx, and calculate the wind pressure at each measuring point on the building surface. , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx , marking the building’s weak points in wind resistance.

[0052] The step 2 includes the following contents: Step 201: After receiving the building wind resistance analysis instruction, use a laser Doppler velocimeter to measure the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd, and calculate the building's ambient wind coefficient Hfx:

[0053] in, is the maximum ambient wind speed of the building, is the maximum ambient wind force of the building, is the maximum environmental turbulence of the building, which is obtained based on the historical meteorological data of the area where the building is located.

[0054] Step 202: evenly arrange multiple measuring points on the building surface, install wind pressure sensors at each measuring point, and detect the wind pressure at each measuring point on the building surface. The hot wire anemometer is used to measure the air velocity at each measuring point on the building surface. By analyzing the fluctuation of the air velocity, the vortex shedding frequency at each measuring point is calculated. , using a total station to measure the displacement of each measuring point on the building surface .

[0055] Step 203: Based on the wind pressure at each measuring point on the building surface , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx :

[0056] in, j Indicates the sequential number of each measuring point of the building. j =1, 2, …, m , m is the total number of building measurement points.

[0057] Step 204: calculate the wind resistance coefficient of each measuring point of the building After sorting from large to small, the top ten measurement points are marked as the building's weak points in wind resistance.

[0058] When using, combine the contents in steps 201 to 204: After receiving the building wind resistance analysis command, the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd are measured, and the building's ambient wind coefficient Hfx is calculated based on the wind pressure at each measuring point on the building surface. , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx , marking the building's wind-resistant weak points, can accurately identify which parts of the building are more susceptible to wind force, and focus on these areas when a typhoon comes.

[0059] Step 3: Obtain the wind resistance coefficient of the building's wind-resistant weak points under different environmental wind coefficients, construct a wind resistance prediction model for the building's wind-resistant weak points, predict the wind resistance coefficient of the building's wind-resistant weak points under the maximum environmental wind coefficient, determine the maximum wind resistance coefficient prediction value Yc of the building's wind-resistant weak points, and select different wind resistance warning processing strategies.

[0060] The step three includes the following contents: Step 301, obtain the wind resistance coefficients of the building's wind-resistant weak points under different environmental wind coefficients, select part of the data as sample data, build a wind resistance prediction model for the building's wind-resistant weak points based on a supervised learning algorithm, and output the wind resistance prediction model for the building's wind-resistant weak points after sample data training and testing.

[0061] Step 302: Based on the maximum ambient wind speed of the building , the maximum ambient wind force of the building , and the maximum ambient turbulence of the building , calculate the maximum ambient wind coefficient of the area where the building is located, that is, ln2.

[0062] Step 303: Import the maximum environmental wind coefficient of the area where the building is located into the wind resistance prediction model of the building's wind resistance weak points to predict the wind resistance coefficient of the building's wind resistance weak points under the maximum environmental wind coefficient, and determine the maximum wind resistance coefficient prediction value Yc of the building's wind resistance weak points.

[0063] Step 304: obtain the maximum wind resistance coefficient prediction value Yc of the building's wind resistance weak point, make a judgment on the wind resistance safety of the building, and select different wind resistance warning processing strategies, specifically: When Yc When the second wind resistance threshold is reached, the feedback is that the current building's wind resistance is safe and no measures need to be taken. Monitoring should be continued to prevent abnormal situations.

[0064] When the second wind resistance threshold When the building is located in a typhoon area, a Level 2 wind safety warning command will be issued to reinforce the building's weak points in wind resistance.

[0065] When the first wind resistance threshold When the wind resistance of the current building is low, it is fed back and a level 1 wind resistance safety warning order is issued, requiring repair intervention on the current building to eliminate potential wind resistance safety hazards.

[0066] Among them, the second wind resistance threshold is , the first wind resistance threshold is , represents the mean of the historical maximum wind resistance coefficient prediction values, Represents the variance of the predicted value of the historical maximum wind resistance coefficient.

[0067] When used, combine the contents in steps 301 to 304: Obtaining the wind resistance coefficient of the building's wind-resistant weak points under different environmental wind coefficients, constructing a wind resistance prediction model for the building's wind-resistant weak points, predicting the wind resistance coefficient of the building's wind-resistant weak points under the maximum environmental wind coefficient, determining the maximum predicted value Yc of the building's wind-resistant weak points, and selecting different wind resistance warning processing strategies can reduce the risk of damage to buildings in strong wind weather and reduce the economic losses of buildings caused by wind disasters, including maintenance costs, reconstruction costs, etc.

[0068] See also Figure 2 The present invention provides a building detection and identification system, comprising: Building structure deviation analysis module, analyzes the position deviation coefficient Jw of building components, the size deviation coefficient Jc of building components and the shape evaluation coefficient of building engineering Tp , calculate the building structure deviation index Jpz, and send building wind resistance analysis instructions to the outside; The building wind resistance weak point analysis module measures the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd after receiving the building wind resistance analysis command, calculates the building's ambient wind coefficient Hfx, and calculates the wind pressure at each measuring point on the building surface. , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx , marking the building’s weak points in wind resistance; The building wind resistance warning module obtains the wind resistance coefficient of the building's wind resistance weak points under different environmental wind coefficients, constructs a wind resistance prediction model for the building's wind resistance weak points, predicts the wind resistance coefficient of the building's wind resistance weak points under the maximum environmental wind coefficient, determines the maximum wind resistance coefficient prediction value Yc of the building's wind resistance weak points, and selects different wind resistance warning processing strategies.

[0069] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in 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.

[0070] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0071] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A building inspection and identification method, characterized in that: The following steps are involved: Analyze the position deviation coefficient Jw of building components, the size deviation coefficient Jc of building components and the evaluation coefficient of building engineering shape Tp , calculate the building structure deviation index Jpz, and send building wind resistance analysis instructions to the outside; After receiving the building wind resistance analysis command, the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd are measured, and the building's ambient wind coefficient Hfx is calculated based on the wind pressure at each measuring point on the building surface. , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx , marking the building’s weak points in wind resistance; Obtain the wind resistance coefficient of the building's wind-resistant weak points under different environmental wind coefficients, construct a wind resistance prediction model for the building's wind-resistant weak points, predict the wind resistance coefficient of the building's wind-resistant weak points under the maximum environmental wind coefficient, determine the maximum wind resistance coefficient prediction value Yc of the building's wind-resistant weak points, and select different wind resistance warning processing strategies.

2. A building detection and identification method according to claim 1, characterized in that: Use a total station to measure the actual position of each structural component of the building, compare and analyze the position of the structural components on the design drawings, and sort out the position deviation coefficients of each structural component , calculate the building component position deviation coefficient Jw: in, k Indicates the number of each structural component of the building. k =1, 2, …, a , a is the total number of structural components of the building, and the position deviation coefficient is (actual position - design position) / design position.

3. A building detection and identification method according to claim 1, characterized in that: Use a total station to measure the actual size of each structural component, compare and analyze it with the size of the structural component on the design drawing, and sort out the size deviation coefficient of each structural component , calculate the building component size deviation coefficient Jc: Among them, the dimensional deviation coefficient of each structural component is It is the sum of the component length deviation coefficient, width deviation coefficient and height deviation coefficient, that is, (actual length - design length) / design length + (actual width - design width) / design width + (actual height - design height) / design height.

4. A building detection and identification method according to claim 1, characterized in that: Use a total station to measure the vertical deviation between floors of each building The flatness deviation of each floor of the construction project , calculate and obtain the building engineering shape evaluation coefficient Tp : in, i Indicates the number of each floor of the building. i =1, 2, ..., n, where n is the total number of floors of the building, is the standard verticality deviation, is the standard flatness deviation; Verticality deviation It is the distance difference between the top and bottom of the building wall and any plane perpendicular to the ground, the horizontal deviation It refers to the maximum height difference of the ground within a certain range.

5. A building detection and identification method according to claim 4, characterized in that: Obtain the building component position deviation coefficient Jw, building component size deviation coefficient Jc and building engineering shape evaluation coefficient Tp , calculate the building structure deviation index Jpz: in, is the standard value of the position deviation coefficient of the building component, is the standard value of the building component size deviation coefficient, is the standard value of the building engineering shape evaluation coefficient; When the building structure deviation index Jpz exceeds 0.1, a building wind resistance analysis instruction is sent out.

6. A building detection and identification method according to claim 5, characterized in that: After receiving the building wind resistance analysis instruction, the laser Doppler velocimeter is used to measure the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd, and the building's ambient wind coefficient Hfx is calculated: in, is the maximum ambient wind speed of the building, is the maximum ambient wind force of the building, is the maximum ambient turbulence of the building.

7. A building detection and identification method according to claim 6, characterized in that: Based on the wind pressure at each measuring point on the building surface , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx : in, j Indicates the sequential number of each measuring point of the building. j =1, 2, …, m , m is the total number of building measurement points.

8. A building detection and identification method according to claim 7, characterized in that: The wind resistance coefficient of each measuring point of the building After sorting from large to small, the top ten measurement points are marked as the building's weak points in wind resistance.

9. A building detection and identification method according to claim 1, characterized in that: Obtain the maximum wind resistance coefficient prediction value Yc of the building's wind resistance weak point, make a judgment on the building's wind resistance safety, and select different wind resistance warning processing strategies, specifically: When Yc At the second wind resistance threshold, the feedback is that the current building's wind resistance is highly safe and no measures need to be taken; When the second wind resistance threshold When the building is located in the area where the typhoon occurs, the building will be given a secondary wind safety warning. When the first wind resistance threshold When the wind speed of the building is low, the warning will be sent out to indicate that the building is safe against wind. Among them, the second wind resistance threshold is , the first wind resistance threshold is , represents the mean of the historical maximum wind resistance coefficient prediction values, Represents the variance of the predicted value of the historical maximum wind resistance coefficient.

10. A building inspection and identification system, used to implement the method according to any one of claims 1 to 9, characterized in that: include: Building structure deviation analysis module, analyzes the position deviation coefficient Jw of building components, the size deviation coefficient Jc of building components and the evaluation coefficient of building engineering shape Tp , calculate the building structure deviation index Jpz, and send building wind resistance analysis instructions to the outside; The building wind resistance weak point analysis module measures the building's ambient wind speed Hs, ambient wind force Hf and ambient turbulence Hd after receiving the building wind resistance analysis command, calculates the building's ambient wind coefficient Hfx, and calculates the wind pressure at each measuring point on the building surface. , eddy current shedding frequency , displacement Calculate the wind resistance coefficient of each measuring point of the building using the building's environmental wind coefficient Hfx , marking the building’s weak points in wind resistance; The building wind resistance warning module obtains the wind resistance coefficient of the building's wind resistance weak points under different environmental wind coefficients, constructs a wind resistance prediction model for the building's wind resistance weak points, predicts the wind resistance coefficient of the building's wind resistance weak points under the maximum environmental wind coefficient, determines the maximum wind resistance coefficient prediction value Yc of the building's wind resistance weak points, and selects different wind resistance warning processing strategies.

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