KR102303089B1 - Assessment system for risk of building - Google Patents

Abstract

The present invention provides a 3D shape data acquisition unit for acquiring 3D shape data of a building; a displacement calculation unit that compares the pre-stored BIM data with the 3D shape data and calculates the displacement amount; and an evaluation unit for evaluating the degree of risk of the building based on the displacement data; Discloses a risk assessment system for buildings, including

Description

ASSESSMENT SYSTEM FOR RISK OF BUILDING

The present invention relates to a risk assessment system for buildings.

Risk refers to numerically estimating the probability of damage to people's lives, property, and the environment under the assumption that the severity of the consequences of a hazard on people can be predicted and clearly identified.

Therefore, the risk is the frequency of occurrence, location, spatial area (that is, the ratio of the area where disaster damage is expected to the total area of the area), duration of the disaster, and secondary It is greatly affected by Secondary Effects, Seasonality, Speed of onset, and Warning availability.

On the other hand, in general, according to the 'Basic Act on Disaster and Safety Management', in the case of D and E grades of nationally-designated disaster risk facilities, regular inspections must be conducted once/monthly and twice/monthly, respectively, and the 'Special Act on Safety Management of Facilities' ' stipulates that regular inspections are performed once/semi-annual, and detailed inspections are performed every 1 to 4 years depending on the grade. Regular and detailed inspections are conducted through public officials or private facility management agencies, and inspectors are required to directly visit the site to perform inspections.

Although the regular and detailed inspections as described above are essential for facility safety management and disaster prevention, the following problems exist.

First, regular inspections and detailed inspections that are carried out regularly take a lot of manpower, money, and time because inspection personnel directly visit the site. Inspection results are greatly affected by the quality of inspection and integrity. Third, as many of the inspection items are qualitative evaluations that are affected by the intuition of inspection personnel, it is difficult to secure uniform inspection quality. Fourth, inspection of facilities is carried out regularly However, there is a great difficulty in preparing for the sudden collapse of buildings.

Therefore, in order to solve this problem, the technology described in Korean Patent Application Laid-Open No. 10-2007-0111876 has been proposed, and its technical features include at least one measuring unit installed in a weak part of a structure to measure a required measurement value; Comprising a measurement unit main body that calculates the measured values wirelessly transmitted/received from the measurement unit, displays and stores only the peak or valley values in real time, and calculates the accumulated fatigue damage by calculating the stored data, The unit comprises a detection sensor for measuring the deformation of the structure, a wireless transmission module for transmitting the measured measurement data, an amplifier for amplifying the measurement data, and a solar cell for supplying electricity to the measurement unit, the detection sensor is characterized in that it consists of any one selected from an accelerometer or a strain gauge.

However, in the technique described in Korean Patent Application Laid-Open No. 10-2007-0111876, a measuring unit is installed in a weak part to continuously measure a necessary measured value, and it requires a lot of money and effort to maintain it, and There is a problem in that it is difficult to secure reliability.

An object of the present invention is to provide a risk assessment system for a building that can quickly and precisely measure the risk of a disaster-damaged building.

On the other hand, the technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned are clearly to those of ordinary skill in the art to which the present invention belongs from the description below. can be understood

A risk assessment system of a building according to an embodiment of the present invention includes: a 3D shape data acquisition unit for acquiring 3D shape data of a building; a displacement calculation unit that compares the pre-stored BIM data with the 3D shape data and calculates the displacement amount; and an evaluation unit for evaluating the degree of risk of the building based on the displacement data; may include.

In addition, a matching unit for extracting a 3D shape model from the BIM data, and matching the extracted 3D shape model with the 3D shape data; may further include.

Also, the 3D shape data acquisition unit may acquire the point cloud data of the building by 3D scanning.

Also, the displacement calculation unit may calculate the displacement amount by calculating a shape error between the 3D shape model and the point cloud data of the building.

Also, the displacement amount calculating unit may extract a 3D point cloud model of the 3D shape model, calculate a point-to-point distance between the extracted 3D point cloud model and the point cloud data of the building, to calculate the displacement amount.

In addition, the displacement calculation unit extracts a 3D point cloud model of the 3D shape model, projects a virtual first bounding box on an area selected from the 3D point cloud model, and projects a virtual second on the area selected from the point cloud data of the building. The displacement amount may be calculated by projecting the bounding box and comparing the point cloud density ratio in the first bounding box with the point cloud density ratio in the second bounding box.

In addition, the first bounding box and the second bounding box may correspond to a projection viewpoint, a projection position, and a projection shape.

In addition, the evaluation unit classifies a plurality of objects of the building in the BIM data, assigns different weights to each object, and applies the weights assigned to the displacement data calculated for each object to evaluate the risk of the building.

In addition, the evaluation unit divides the type of building into reinforced concrete, steel frame, masonry and wood in the BIM data, assigns different weights to each type of building, and applies the weight given to the displacement data calculated in each building, It is possible to evaluate the risk of the building.

In addition, the evaluation unit can evaluate the risk of the building by classifying the use of the building in the BIM data, assigning different weights for each use of each building, and applying the weight assigned to the displacement data calculated in each building.

According to an embodiment of the present invention, it is possible to quickly and precisely measure the risk of a disaster-damaged building.

On the other hand, the effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be able

1 is a block diagram schematically showing a risk assessment system for a building according to an embodiment of the present invention;
2 is an exemplary view showing a three-dimensional shape model obtained in the risk assessment system of a building according to an embodiment of the present invention,
3 is an exemplary view showing three-dimensional point cloud data obtained in the risk assessment system of a building according to an embodiment of the present invention;
4 is a flowchart sequentially illustrating a risk assessment procedure using a risk assessment system for a building according to an embodiment of the present invention;
5 is a flowchart illustrating a displacement amount calculation step in a risk assessment procedure using a risk assessment system for a building according to an embodiment of the present invention;
6 is an exemplary diagram schematically illustrating a 3D shape model and 3D point cloud data extracted during a risk assessment procedure using a risk assessment system for a building according to an embodiment of the present invention;
7 is an exemplary diagram schematically illustrating a process of calculating a shape error after matching the 3D shape model of FIG. 6 and 3D point cloud data;
8 is a flowchart illustrating a displacement amount calculation step in a risk assessment procedure using a risk assessment system for a building according to another embodiment of the present invention;
9 is an exemplary diagram schematically illustrating a 3D point cloud model and 3D point cloud data extracted during a risk assessment procedure using a risk assessment system for a building according to another embodiment of the present invention;
10 is an exemplary diagram schematically illustrating a process of calculating a shape error after matching the 3D point cloud model of FIG. 9 and 3D point cloud data;
11 is a flowchart illustrating a displacement calculation step in a risk assessment procedure using a risk assessment system for a building according to another embodiment of the present invention;
12 is an exemplary diagram schematically illustrating a 3D point cloud model and 3D point cloud data extracted during a risk assessment procedure using a risk assessment system for a building according to another embodiment of the present invention.

Hereinafter, an embodiment of the present invention will be described in more detail with reference to the accompanying drawings. Embodiments of the present invention may be modified in various forms, and the scope of the present invention should not be construed as being limited to the following embodiments. This embodiment is provided to more completely explain the present invention to those of ordinary skill in the art. Accordingly, the shapes of elements in the drawings are exaggerated to emphasize a clearer description.

The configuration of the invention for clarifying the solution of the problem to be solved by the present invention will be described in detail with reference to the accompanying drawings based on a preferred embodiment of the present invention, but the same in assigning reference numbers to the components of the drawings For the components, even if they are on different drawings, the same reference numbers are given, and it is noted in advance that the components of other drawings can be cited when necessary in the description of the drawings.

1 is a block diagram schematically showing a risk assessment system for a building according to an embodiment of the present invention.

Referring to FIG. 1 , the risk assessment system 1000 of a building according to an embodiment of the present invention includes a storage unit 100 , a 3D shape data acquisition unit 200 , a matching unit 300 , a displacement calculation unit 400 and The evaluation unit 500 may be included.

The storage unit 100 stores the results processed by the 3D shape data acquisition unit 200 , the matching unit 300 , the displacement calculation unit 400 and the evaluation unit 500 , and BIM (Building Information Modeling) data for the building save the

BIM (Building Information Modeling) data is data on buildings that are subject to risk assessment.

Here, BIM (Building Information Modeling) refers to a process of virtually modeling a facility in a multidimensional virtual space from planning, design, engineering (structure, equipment, electricity, etc.), construction, and even maintenance and disposal. And BIM data of a building means all data included in the entire life cycle of the target building.

In addition, the BIM data may include shape data and property data of a plurality of building objects constituting the building. For example, the building object is a wall, a floor, a column, a beam, a window, a staircase, a curtain wall, a door, and a facility ( Equipment), lamps, and all objects provided in the building may be included. Illustratively, the BIM data may include data about a load-bearing wall or a non-bearing wall as a property of a wall in a building.

2 is an exemplary view showing a three-dimensional shape model obtained in the risk assessment system of a building according to an embodiment of the present invention.

Referring to FIG. 2 , in particular, the BIM data may include shape data and design data in each object based on a 3D shape model of a 3D shape that can be implemented with CAD or the like.

On the other hand, this is because BIM data becomes a reference design drawing that becomes a reference during construction, and a certain difference may occur from the scanned data immediately after construction.

For example, even in the process of construction, the position of the column may be different from the design drawing on the BIM data, so there is a case of re-construction.

The 3D shape data acquisition unit 200 may acquire 3D shape data of the building by measuring the building through 3D scanning.

3 is an exemplary diagram illustrating three-dimensional point cloud data obtained in the risk assessment system of a building according to an embodiment of the present invention.

Referring to FIG. 3 , the 3D shape data acquisition unit 200 may acquire 3D shape data configured based on point cloud data obtained by actually measuring a building through 3D scanning.

Here, the 3D shape data acquisition unit 200 may include a 3D laser scanner.

A 3D laser scanner is a type of surveying device and is a collection of three-dimensional coordinate point data composed of data returned after irradiating tens of thousands to hundreds of thousands of laser beams per second at intervals of several centimeters on the surface of buildings or equipment. becomes data.

This point cloud is also called a 'point cloud' because the shape of the building is seen as a set of countless points when viewed through dedicated software.

A 3D laser scanner has a limited angle of view in the same way as a camera and has a limited measurement range for one shot. Therefore, when measuring a single building, the building is repeatedly measured from various angles so that no blind spots are formed while changing the position of the 3D scanner, and then a number of point cloud data are synthesized into one to create point cloud data of the entire building.

The matching unit 300 may extract a 3D shape model from the acquired BIM data, and may match the 3D shape model with the 3D shape data acquired by the 3D shape data acquisition unit 200 .

The matching unit 300 matches the coordinate system of the 3D shape model and the 3D shape data based on the reference coordinates (eg, origin, 0, 0) in the coordinates composed of the building, and matches the 3D shape model and the 3D shape data. can

Here, the matching unit 300 may match the 3D shape model and the size of the 3D shape data by matching the coordinate system of the 3D shape model and the 3D shape data.

Here, when the matching unit 300 matches the 3D shape model and the 3D shape data, it is preferable that the realized viewpoints are identically matched.

The displacement calculation unit 400 may calculate the displacement by comparing the 3D shape model with the 3D shape data.

Here, the displacement amount calculating unit 400 may calculate and output digitized displacement amount data.

For example, the displacement calculation unit 400 may compare the matched 3D shape model with the 3D shape data and calculate the displacement amount based on a shape error between the 3D shape model and the 3D shape data.

The displacement calculation unit 400 may calculate the displacement amount between the 3D shape model and 3D shape data matched for the entire building, and calculate the displacement amount between the 3D shape model and 3D shape data matched in the corresponding area by selecting only a specific area can do.

Meanwhile, the displacement calculation unit 400 may calculate the displacement amount by calculating a shape error between the 3D shape model of the BIM data and the point cloud data of the building.

Also, the displacement calculation unit 400 may extract a 3D point cloud model of the 3D shape model of the BIM data, calculate a point-to-point distance between the extracted 3D point cloud model and the point cloud data of the building, and calculate the displacement amount.

In addition, the displacement calculation unit 400 extracts a 3D point cloud model of the 3D shape model of the BIM data, projects a virtual first bounding box on an area selected from the 3D point cloud model, and a virtual second on the area selected from the point cloud data of the building. The displacement amount may be calculated by projecting the second bounding box and comparing the point cloud density ratio in the first bounding box with the point cloud density ratio in the second bounding box.

Here, the first bounding box and the second bounding box preferably correspond to a projection viewpoint, a projection position, and a projection shape.

The above-described displacement amount calculation process will be described in detail with reference to FIGS. 4 to 12 to be described later.

The evaluation unit 500 may evaluate the risk of the building based on the 3D shape model and the 3D shape data calculated by the displacement calculation unit 400 based on the displacement data.

For example, a result of the first-stage emergency risk evaluation or the second-stage emergency risk evaluation may be derived based on the displacement amount data output from the displacement amount calculating unit 400 .

Meanwhile, the evaluation unit 500 may evaluate the risk of the entire building by applying different weights to the displacement data for each object in the building.

For example, after classifying a building into a plurality of objects in the BIM data, the evaluation unit 500 may assign different weights to each object.

As an example, a wall, a slab, a column, a staircase, and a beam among buildings can be divided into major parts in the structure of a building, and a relatively high weight can be given, Conversely, windows, curtain walls, doors, equipment, and lamps can be classified as relatively less important parts of a building and given a relatively low weight. have.

Through this, the evaluation unit 500 may evaluate the risk of the entire building by applying different weights to the displacement data according to each object of the building according to the structural importance of the building, and applying different weights to each object.

In addition, the evaluation unit 500 may evaluate the risk of the building by assigning different weights to each type of building according to the building type of the building, and applying the weight assigned to the displacement data calculated in each building.

BIM data may include structural type data classified into reinforced concrete, steel frame, masonry, and wood depending on the structural type of the building.

Here, the evaluation unit 500 may derive a risk evaluation in consideration of the damage evaluation for each structural type by giving different weights according to the structural type of the building.

In addition, the evaluation unit 500 may evaluate the risk of the building by giving different weights for each use of each building according to the use of the building, and applying the weight assigned to the displacement data calculated in each building.

Meanwhile, the BIM data may include data according to the purpose of the building.

For example, the BIM data may include building use data in which a building is defined as a general building, a residential building, an office building, a hospital building, a lifeline and facility building, a building for emergency facilities, a school building, and the like.

Here, buildings for hospitals, buildings for life lines and facilities, buildings for emergency facilities, and buildings for schools, etc. can be defined as facilities with high importance in the event of a disaster such as an earthquake, and for this, immediately without conducting the first emergency risk assessment It is desirable to conduct a level 2 emergency risk assessment.

Accordingly, the evaluation unit 500 may derive a risk assessment of the prize money for a building constructed for a specific purpose by assigning different weights for each use of each building according to the purpose of the building.

Hereinafter, a risk assessment procedure using a risk assessment system for a building according to an embodiment of the present invention will be described with reference to FIGS. 4 to 7 .

4 is a flowchart sequentially illustrating a risk assessment procedure using a risk assessment system for a building according to an embodiment of the present invention, and FIG. 5 is a risk assessment procedure using a risk assessment system for a building according to an embodiment of the present invention. It is a flowchart showing the displacement amount calculation step, and FIG. 6 is an exemplary diagram schematically illustrating a 3D shape model and 3D point cloud data extracted during a risk assessment procedure using a risk assessment system for a building according to an embodiment of the present invention, and FIG. 6 is an exemplary diagram schematically illustrating a process of calculating a shape error after matching the 3D shape model and 3D point cloud data.

First, referring to FIG. 4, the risk assessment procedure of a building according to an embodiment of the present invention includes a BIM data acquisition step (S100), a 3D shape data acquisition step (S200), a displacement amount calculation step (S300) and a risk assessment step ( S400) may be included.

In the BIM data acquisition step ( S100 ), BIM data of a building previously stored in the storage unit 100 may be acquired.

In the 3D shape data acquisition step ( S200 ), 3D shape data is acquired through the 3D shape data acquisition unit 200 .

The 3D shape data acquisition unit 200 may acquire 3D shape data configured based on the obtained point cloud data by actually measuring the building through 3D scanning.

In the displacement amount calculation step S300 , the displacement amount calculation unit 400 may compare the 3D shape model and the 3D shape data to calculate the displacement amount between the 3D shape model and the 3D shape data.

Referring to FIG. 5 , the displacement amount calculation step S300 includes the 3D shape model extraction step S310, the point cloud data acquisition step S320, the 3D shape model and the point cloud data matching step S330, and the shape error calculation step S340. may include

In the 3D shape model extraction step ( S310 ), it is possible to implement from BIM data, such as CAD, and extract a 3D shape model of a 3D shape including shape data and design data in an object.

The extracted 3D shape model 1 is as shown in FIG. 6(A).

In the point cloud data acquisition step S320 , only point cloud data that is shape data may be selectively acquired from the 3D shape data acquired through the 3D shape data acquisition unit 200 .

The point cloud data 2 thus extracted constitutes shape data by gathering a plurality of point clouds 21 , as shown in FIG. 6B .

In the 3D shape model and point cloud data matching step S330 , the 3D shape model and the point cloud data may be matched through the matching unit 300 .

In the matching step (S330), the coordinate system of the 3D shape model and the 3D shape data is matched based on the reference coordinates (eg, origin, 0,0) in the coordinates composed of the building, and the 3D shape model and the 3D shape data are matched. can

In the matching step ( S330 ), it is preferable to match the size of the 3D shape model and the 3D shape data by matching the coordinate system of the 3D shape model and the 3D shape data, and it is preferable to match the implemented timing equally.

The 3D shape model and the point cloud data matched in this way are shown in FIG. 7 .

In the shape error calculation step S340 , the displacement amount calculating unit 400 may calculate the displacement amount by calculating the shape error between the 3D shape model and the point cloud data of the building.

Meanwhile, the 3D shape model may be implemented in a form in which a plurality of polygon aggregates are gathered.

Here, the displacement calculation unit 400 defines an edge region of a polygon in the 3D shape model, assumes that the edge region and one point data constituting the point cloud data correspond to each other, and corresponds to a specific edge region of a polygon in the 3D shape model By calculating the distance between specific points of the point cloud data, a shape error between the 3D shape model and the point cloud data of the building may be calculated.

Meanwhile, the displacement calculation unit 400 may start calculating the shape error based on the corner area of a specific polygon in the 3D shape model, and may calculate the shape error of all selected areas while extending in a single direction from the reference point.

Here, when the shape error calculated at each point does not exceed a preset threshold, the calculated value can be ignored, and only a value exceeding the preset threshold can be acquired to derive a comprehensive displacement amount.

In the risk evaluation step S400 , the risk of the building may be evaluated based on the displacement data between the 3D shape model calculated by the displacement calculation unit 400 and the 3D shape data through the evaluation unit 500 .

Hereinafter, a risk assessment procedure using a risk assessment system for a building according to another embodiment of the present invention will be described with reference to FIGS. 8 to 10 .

8 is a flowchart illustrating a displacement amount calculation step in a risk assessment procedure using a risk assessment system for a building according to another embodiment of the present invention, and FIG. 9 is a risk assessment using a risk assessment system for a building according to another embodiment of the present invention. It is an exemplary diagram schematically showing a 3D point cloud model and 3D point cloud data extracted during the procedure, and FIG. 10 is an exemplary diagram schematically illustrating a process of calculating a shape error after matching the 3D point cloud model and 3D point cloud data of FIG. 9 .

The procedure for evaluating the risk of a building according to another embodiment of the present invention is different from the procedure for evaluating the risk of a building according to the embodiment of the present invention shown in FIG. 4 and the displacement amount calculation step ( S1000 ).

Therefore, in the risk assessment procedure of a building according to another embodiment of the present invention below, the displacement amount calculation step ( S1000 ) will be described in detail.

Referring to FIG. 8 , the displacement amount calculation step S1000 includes the 3D shape model extraction step S1010 , the point cloud model extraction step S1020 , the point cloud data acquisition step S1030 , the 3D point cloud model and the point cloud data matching step S1040 , and the shape It may include an error calculation step (S1050).

In the step of extracting the 3D shape model ( S1010 ), the 3D shape model of the 3D shape including the shape data and the design data in the object may be extracted from the BIM data by using CAD or the like.

Also, in the point cloud model extraction ( S1020 ), the 3D point cloud model may be extracted from the 3D shape model of the BIM data.

Here, if the 3D point cloud model is stored in the BIM data, the 3D point cloud model can be directly extracted. If the 3D point cloud model is not stored in the BIM data, a transformation algorithm specific to the 3D shape model is applied A 3D point cloud model can be extracted from the shape model.

The point cloud model 5 thus extracted constitutes shape data by gathering a plurality of point clouds 11 , as shown in FIG. 9A .

In the point cloud data acquisition step S1030 , only point cloud data that is shape data may be selectively acquired from the 3D shape data acquired through the 3D shape data acquisition unit 200 .

The point cloud data 2 extracted in this way constitutes shape data by gathering a plurality of point clouds 21 , as shown in FIG. 9B .

In the 3D point cloud model and the point cloud data matching step ( S1040 ), the 3D point cloud model and the point cloud data may be matched through the matching unit 300 .

In the registration step (S1040), the coordinate system of the 3D point cloud model and the 3D shape data is matched based on the reference coordinates (eg, origin, 0,0) in the coordinates composed of the building, and the 3D point cloud model and the 3D shape data are matched. can

In the matching step ( S1040 ), it is preferable to match the size of the 3D point cloud model and the 3D shape data by matching the coordinate system of the 3D shape model and the 3D shape data, and it is preferable to match the implemented time point equally.

The 3D point cloud model and point cloud data matched in this way are shown in FIG. 10 .

In the shape error calculation step S1050 , the displacement amount calculating unit 400 may calculate the displacement amount by calculating the shape error between the 3D point cloud model and the point cloud data of the building.

Here, the displacement calculation unit 400 assumes that a specific point in the 3D point cloud model corresponds to one point data constituting the point cloud data, and calculates the distance between a specific point in the 3D point cloud model and a specific point in the corresponding point cloud data. , it is possible to calculate the shape error between the 3D point cloud model and the point cloud data of the building.

Meanwhile, the displacement calculation unit 400 may start calculating the shape error based on a specific point in the 3D shape model and calculate the shape error of all selected regions while extending from the reference point in a single direction.

Here, when the shape error calculated at each point does not exceed a preset threshold, the calculated value can be ignored, and only a value exceeding the preset threshold can be acquired to derive a comprehensive displacement amount.

Hereinafter, a risk assessment procedure using a risk assessment system for a building according to another embodiment of the present invention will be described with reference to FIGS. 11 to 12 .

11 is a flowchart illustrating a displacement amount calculation step in a risk assessment procedure using a risk assessment system for a building according to another embodiment of the present invention, and FIG. 12 is a risk assessment system for a building according to another embodiment of the present invention. It is an exemplary diagram schematically showing the 3D point cloud model and 3D point cloud data extracted during the risk assessment procedure.

The procedure for evaluating the risk of a building according to another embodiment of the present invention is different from the procedure for evaluating the risk of a building according to the embodiment of the present invention shown in FIG. 4 and the displacement calculation step ( S2000 ).

Therefore, in the procedure for evaluating the risk of a building according to another embodiment of the present invention, the displacement calculation step ( S2000 ) will be described in detail below.

Referring to FIG. 11 , the displacement amount calculation step (S2000) includes the 3D shape model extraction step (S2010), the point cloud model extraction (S2020), the first bounding box projection step (S2030), the point cloud data acquisition step (S2040), the second bounding It may include a box projection step (S2050) and a density ratio error calculation step (S2060).

In the 3D shape model extraction step (S2010), it is possible to implement from BIM data to CAD or the like, and it is possible to extract a 3D shape model of a 3D shape including shape data and design data in an object.

In addition, in the point cloud model extraction ( S2020 ), the 3D point cloud model may be extracted from the 3D shape model of the BIM data.

Here, if the 3D point cloud model is stored in the BIM data, the 3D point cloud model can be directly extracted. If the 3D point cloud model is not stored in the BIM data, a transformation algorithm specific to the 3D shape model is applied A 3D point cloud model can be extracted from the shape model.

In the step of projecting the first bounding box ( S2030 ), the virtual first bounding box is projected on the extracted point cloud model.

Here, the first bounding box may limit a specific area in which the displacement amount is to be measured, and the shape and size of the first bounding box are not limited in the present invention.

In the point cloud model on which the first bounding box 10 is projected in this way, a plurality of point clouds 11 are gathered to form shape data, as shown in FIG. 12A .

In the point cloud data acquisition step S2040 , only point cloud data that is shape data may be selectively acquired from the 3D shape data acquired through the 3D shape data acquisition unit 200 .

In the step of projecting the second bounding box ( S2050 ), a virtual second bounding box is projected on the extracted point cloud data.

Here, the second bounding box may limit a specific area in which the displacement amount is to be measured, and the shape and size of the second bounding box are not limited in the present invention.

However, the second bounding box may correspond to the projection viewpoint, the projection position, and the projection shape of the first bounding box.

The point cloud data onto which the second bounding box 20 is projected in this way constitutes shape data by gathering a plurality of point clouds 21 , as shown in FIG. 12B .

On the other hand, the 3D point cloud model on which the first bounding box 10 is projected and the point cloud data on which the second bounding box 20 is projected do not need to be matched. do.

In the density ratio error calculation step ( S2060 ), the displacement amount calculating unit 400 may calculate the displacement amount by calculating the density ratio between the 3D point cloud model and the point cloud data of the building.

For example, referring to FIG. 12 , the displacement calculation unit 400 determines that 7 point cloud data are concentrated in a single bounding box 10 in the 3D point cloud model, and 8 point cloud data in the single bounding box 20 in the 3D point cloud data is It can be judged that the dog is crowded.

Thereafter, the displacement amount calculating unit 400 may estimate that there is a displacement amount in the corresponding area because there is a difference in the density ratio in the corresponding area on which the bounding box is projected.

On the other hand, although the displacement amount calculation process through the density ratio error calculation step ( S2060 ) has a limit in accurately measuring the displacement amount, it is possible to quickly quantify the degree of displacement occurring in the specified area.

The above detailed description is illustrative of the present invention. In addition, the above description shows and describes preferred embodiments of the present invention, and the present invention can be used in various other combinations, modifications, and environments. That is, changes or modifications are possible within the scope of the concept of the invention disclosed herein, the scope equivalent to the written disclosure, and/or within the scope of skill or knowledge in the art. The written embodiment describes the best state for implementing the technical idea of the present invention, and various changes required in the specific application field and use of the present invention are possible. Accordingly, the detailed description of the present invention is not intended to limit the present invention to the disclosed embodiments. Also, the appended claims should be construed as including other embodiments.

1000: building risk assessment system
100: storage unit 200: 3D shape data acquisition unit
300: matching unit 400: displacement calculation unit
500: evaluation unit

Claims (10)

3D shape data acquisition unit for acquiring 3D shape data of the building;
a displacement calculation unit that compares the pre-stored BIM data with the 3D shape data to calculate a displacement amount;
an evaluation unit for evaluating the degree of risk of the building based on the displacement data; and
a matching unit for extracting a 3D shape model from the BIM data and matching the extracted 3D shape model with the 3D shape data; including,
The 3D shape data acquisition unit obtains the point cloud data of the building by 3D scanning,
The displacement amount calculating unit extracts a 3D point cloud model of the 3D shape model, projects a virtual first bounding box on an area selected from the 3D point cloud model, and a virtual second bounding box on an area selected from the point cloud data of the building , and comparing the point cluster density ratio in the first bounding box with the point cloud density ratio in the second bounding box to calculate the displacement amount,
The first bounding box and the second bounding box correspond to a projection viewpoint, a projection position, and a projection shape,
The evaluation unit classifies a plurality of building objects of a building in the BIM data, and assigns different weights to each building object,
A risk assessment system for a building that evaluates the risk of the building by applying a weight assigned to the displacement data calculated for each building object.
delete delete The method of claim 1,
The displacement calculation unit,
A risk assessment system for a building that calculates a displacement amount by calculating a shape error between the 3D shape model and the point cloud data of the building.
The method of claim 1,
The displacement calculation unit,
extracting a 3D point cloud model of the 3D shape model,
A risk assessment system for a building that calculates a displacement by calculating a point-to-point distance between the extracted 3D point cloud model and the point cloud data of the building.
delete delete delete The method of claim 1,
The evaluation unit
In the BIM data, the types of buildings are divided into reinforced concrete, steel frame, masonry and wood, and different weights are given for each type of building,
A risk assessment system for a building that evaluates the risk of the building by applying a weight assigned to the displacement data calculated in each building.
The method of claim 1,
The evaluation unit
Classifying the use of buildings in the BIM data, assigning different weights to each use of each building,
A risk assessment system for a building that evaluates the risk of the building by applying a weight assigned to the displacement data calculated in each building.

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