KR-102965326-B1 - Apparatus and method for automatic recognition of unsafe spaces in construction sites based on a Site Information Model

KR102965326B1KR 102965326 B1KR102965326 B1KR 102965326B1KR-102965326-B1

Abstract

The present invention relates to an automatic recognition device and method for unsafe spaces at a construction site based on a digital site information model. An automatic unsafe space recognition device for a construction site based on a digital site information model according to one embodiment of the present invention is an automatic unsafe space recognition device for a construction site based on a digital site information model, comprising: a model generation unit that generates a digital site information model having information of the modeled object and information of individual cells that divide the layout of the modeled object by modeling a temporary object; an invisibility value calculation unit that calculates an invisibility value of the individual cell using a cell invisibility derivation algorithm based on the information of the modeled object; a risk value calculation unit that calculates a risk value of the individual cell due to a hazardous facility of the modeled object; and a space risk value calculation unit that calculates a space risk value of the individual cell based on the risk value of the individual cell and the invisibility value of the individual cell, wherein the model generation unit updates the digital site information model by reflecting the calculated invisibility value and space risk value of the individual cell in the information of the individual cell.

Inventors

김태완
조종우
신지유

Assignees

인천대학교 산학협력단

Dates

Publication Date: 20260513
Application Date: 20240924

Claims (14)

As an automatic unsafe space recognition device for construction sites based on a digital site information model, A model generation unit that models a hypothetical object and generates a digital field information model having information of the modeled object and information of individual cells that divide the layout of the modeled object; An invisibility value calculation unit that calculates the invisibility value of the individual cell using a cell invisibility derivation algorithm based on the information of the modeled object above; A risk value calculation unit for calculating the risk value of the individual cell due to the risk facility of the modeled object; and It includes a space risk value calculation unit that calculates a space risk value of an individual cell based on a risk value of the individual cell and an invisibility value of the individual cell, and The above model generation unit updates the digital site information model by reflecting the invisibility value and spatial risk value of the calculated individual cell in the information of the individual cell. Automatic unsafe space recognition device for construction sites based on a digital site information model.
In paragraph 1, The information of the above-mentioned modeled object includes the shape and occupancy status of the object, and The above cell invisibility derivation algorithm generates multiple lines of sight connecting to all cells within the digital field information model for the individual cell, determines whether each of the multiple lines of sight is obstructed by the shape and occupancy status of the object, derives the visibility of the individual cell by adding 1 to the visual accessibility value and dividing the generated visual accessibility value by the number of the multiple lines of sight whenever each of the multiple lines of sight is not obstructed, and then derives invisibility according to the following [Equation 1]. Automatic unsafe space recognition device for construction sites based on a digital site information model. [Formula 1] (Here, Is It refers to the invisibility of individual cells located at, Is It refers to the visibility of individual cells located at.)
In paragraph 1, The information of the above-mentioned modeled object includes the distribution pattern of risk of the above-mentioned hazardous facility, the area of influence of risk, and the maximum value of risk, and The above risk value calculation unit is, If the Euclidean distance between the above-mentioned hazardous facility and the above-mentioned individual cell is within the sphere of influence of the hazardous facility's risk and the distribution pattern of the risk of the above-mentioned hazardous facility is decreasing, the risk value of the above-mentioned individual cell is derived according to the following [Formula 2], Automatic unsafe space recognition device for construction sites based on a digital site information model. [Equation 2] (Here, Is It refers to the risk value of individual cells located at and represents the maximum value of the risk of the hazardous facility, and Is Hazardous facilities located in and It refers to the Euclidean distance of individual cells located at refers to the radius of the sphere of influence of the risk of a hazardous facility.)
In paragraph 1, The information of the above-mentioned modeled object includes the distribution pattern of risk of the above-mentioned hazardous facility, the area of influence of risk, and the maximum value of risk, and The above risk value calculation unit is, If the Euclidean distance between the above-mentioned hazardous facility and the above-mentioned individual cell is within the sphere of influence of the above-mentioned risk and the distribution of the risk of the above-mentioned hazardous facility is uniform, the risk value of the above-mentioned individual cell is derived according to the following [Formula 3], Automatic unsafe space recognition device for construction sites based on a digital site information model. [Equation 3] (Here, : It refers to the risk value of individual cells located at, represents the maximum value of the risk of the hazardous facility.)
In paragraph 3 or 4, The maximum value of the risk of the above-mentioned hazardous facility is derived according to the following [Formula 4], Automatic unsafe space recognition device for construction sites based on a digital site information model. [Equation 4] (Here, represents the maximum value of the risk of the hazardous facility, and represents the risk sensitivity of hazardous facilities, and represents the severity of the risk of hazardous facilities.)
In paragraph 1, The above risk value calculation unit calculates the risk value of the above individual cell by summing them if the risk value of the above individual cell is multiple. Automatic unsafe space recognition device for construction sites based on a digital site information model.
In paragraph 1, The above space risk value calculation unit calculates the space risk value of the individual cell according to the following [Formula 5], Automatic unsafe space recognition device for construction sites based on a digital site information model. [Formula 5] (Here, Is It refers to the spatial risk value of individual cells located at, Is It refers to the risk value caused by hazardous facilities in individual cells located at, Is It refers to the invisibility of individual cells located at.)
As a method for automatically recognizing unsafe spaces in a construction site based on a digital site information model, A step of modeling a hypothetical object to generate a digital field information model having information of the modeled object and information of individual cells that divide the layout of the modeled object; A step of calculating the invisibility value of the individual cell using a cell invisibility derivation algorithm based on the information of the modeled object; A step of calculating the risk value of the individual cell due to the hazardous facilities of the modeled object; and The method includes the step of calculating a spatial risk value of an individual cell based on the risk value of the individual cell and the invisibility value of the individual cell. The step of generating the digital site information model involves updating the digital site information model by reflecting the invisibility value and spatial risk value of the calculated individual cell in the information of the individual cell. Automatic recognition method for unsafe spaces at a construction site based on a digital site information model.
In paragraph 8, The information of the above-mentioned modeled object includes the shape and occupancy status of the object, and The above cell invisibility derivation algorithm generates multiple lines of sight connecting to all cells within the digital field information model for the individual cell, determines whether each of the multiple lines of sight is obstructed by the shape and occupancy status of the object, derives the visibility of the individual cell by adding 1 to the visual accessibility value and dividing the generated visual accessibility value by the number of the multiple lines of sight whenever each of the multiple lines of sight is not obstructed, and then derives invisibility according to the following [Equation 1]. Automatic recognition method for unsafe spaces at a construction site based on a digital site information model. [Formula 1] (Here, Is It refers to the invisibility of individual cells located at, Is It refers to the visibility of individual cells located at.)
In paragraph 8, The information of the above-mentioned modeled object includes the distribution pattern of risk of the above-mentioned hazardous facility, the area of influence of risk, and the maximum value of risk, and The step of calculating the risk value of the individual cell above is, If the Euclidean distance between the above-mentioned hazardous facility and the above-mentioned individual cell is within the sphere of influence of the hazardous facility's risk and the distribution pattern of the risk of the above-mentioned hazardous facility is decreasing, the risk value of the above-mentioned individual cell is derived according to the following [Formula 2], Automatic recognition method for unsafe spaces at a construction site based on a digital site information model. [Equation 2] (Here, Is It refers to the risk value of individual cells located at and represents the maximum value of the risk of the hazardous facility, and Is Hazardous facilities located in and It refers to the Euclidean distance of individual cells located at refers to the radius of the sphere of influence of the risk of a hazardous facility.)
In paragraph 8, The information of the above-mentioned modeled object includes the distribution pattern of risk of the above-mentioned hazardous facility, the area of influence of risk, and the maximum value of risk, and The step of calculating the risk value of the individual cell above is, If the Euclidean distance between the above-mentioned hazardous facility and the above-mentioned individual cell is within the sphere of influence of the above-mentioned risk and the distribution of the risk of the above-mentioned hazardous facility is uniform, the risk value of the above-mentioned individual cell is derived according to the following [Formula 3], Automatic recognition method for unsafe spaces at a construction site based on a digital site information model. [Equation 3] (Here, : It refers to the risk value of individual cells located at, represents the maximum value of the risk of the hazardous facility.)
In Article 10 or Article 11, The maximum value of the risk of the above-mentioned hazardous facility is derived according to the following [Formula 4], Automatic recognition method for unsafe spaces at a construction site based on a digital site information model. [Equation 4] (Here, represents the maximum value of the risk of the hazardous facility, and represents the risk sensitivity of hazardous facilities, and represents the severity of the risk of hazardous facilities.)
In paragraph 8, The step of calculating the risk value of the individual cell above includes, if there are multiple risk values of the individual cell, summing them up to calculate the risk value of the individual cell. Automatic recognition method for unsafe spaces at a construction site based on a digital site information model.
In paragraph 8, The step of calculating the space risk value of the individual cell above is to calculate the space risk value of the individual cell according to the following [Formula 5], Automatic recognition method for unsafe spaces at a construction site based on a digital site information model. [Formula 5] (Here, Is It refers to the spatial risk value of individual cells located at, Is It refers to the risk value caused by hazardous facilities in individual cells located at, Is It refers to the invisibility of individual cells located at.)

Description

Apparatus and method for automatic recognition of unsafe spaces in construction sites based on a digital site information model The present invention relates to an automatic unsafe space recognition device and method for a construction site based on a digital site information model, and more specifically, to an automatic unsafe space recognition device and method for a construction site that models temporary objects and calculates risk levels for each cell. Construction sites are environments where workers are easily exposed to risks of safety accidents during work, such as collisions with equipment and materials, falling objects, and fires. Therefore, spatial hazards at construction sites are often addressed in research aimed at finding the optimal Construction Site Layout Plan (CSLP) by modeling and arranging various temporary facilities, roads, and equipment required within the site. These studies originate from the perspective that various temporary facilities pose inherent risks when addressing safety in on-site spaces. Specifically, research on CSLP analysis analyzes plans based on the distances between facilities, utilizing objects accurately positioned within a digital modeling environment. The aim is to reduce accident risks by ensuring sufficient distance between temporary facilities or by maximally separating hazardous areas associated with hazardous facilities from workers' activity zones. While this approach provides significant assistance in lowering spatial risks and preventing safety accidents in the placement of temporary facilities, it has limitations in identifying the risk level of the derived layout plan and providing safety practitioners with information on changes in spatial risk resulting from plan modifications. Furthermore, since CSLP involves communication and negotiation among multiple project-related organizations, layout variability and flexibility are emphasized. Consequently, layout planning in practice primarily relies on reviews based on rough layouts to account for flexibility. This reality is at odds with research that requires accurate object layout modeling for computational ease and derives optimal layouts based on it. As a result, the review of on-site layout plans remains within the realm of the planner's empirical judgment based on rough layouts, remaining distant from plans reviewed based on quantitative analysis. Therefore, there is a need for a method to identify unstable on-site spaces by linking these rough plans with hypothetical object information modeling that responds to changes. FIG. 1 is a configuration diagram of an automatic unsafe space recognition device for a construction site based on a digital site information model according to one embodiment of the present invention. FIG. 2 is a flowchart of a method for automatically recognizing unsafe spaces at a construction site based on a digital site information model according to an embodiment of the present invention. FIG. 3 is a flowchart of a cell invisibility derivation algorithm according to one embodiment of the present invention. FIG. 4 is a diagram illustrating the risk value of a cell when the distribution shape of the risk according to one embodiment of the present invention is reduced. FIG. 5 is a diagram illustrating the risk value of a cell when the distribution shape of the risk is uniform according to one embodiment of the present invention. FIG. 6 is a diagram illustrating the visualization of the invisibility of a cell according to one embodiment of the present invention. FIG. 7 is an illustrative drawing illustrating the visualization of a cell's space risk value according to an embodiment of the present invention. Hereinafter, embodiments disclosed in this specification will be described in detail with reference to the attached drawings. Identical or similar components regardless of drawing symbols are assigned the same reference number, and redundant descriptions thereof will be omitted. The suffixes "module" and "part" used for components in the following description are assigned or used interchangeably solely for the ease of drafting the specification and do not inherently possess distinct meanings or roles. Furthermore, in describing the embodiments disclosed in this specification, if it is determined that a detailed description of related prior art could obscure the essence of the embodiments disclosed in this specification, such detailed description will be omitted. Additionally, the attached drawings are intended only to facilitate understanding of the embodiments disclosed in this specification; the technical concept disclosed in this specification is not limited by the attached drawings, and it should be understood that they include all modifications, equivalents, and substitutions that fall within the spirit and technical scope of the invention. Terms including ordinal numbers, such as first, second, etc., may be used to describe various components, but said components are not