KR20210009269A - Multi-Dimensional Risk Matrix - Google Patents

Abstract

The present invention relates to a multi-dimensional risk matrix which supports to link comprehensive risk judgment, evaluation, and follow-up support in terms of process, environment, and manpower based on historical statistical data. The multi- dimensional risk matrix comprises the steps of: calculating process risk evaluation information; calculating environmental risk evaluation information; and calculating human resource risk evaluation information.

Description

Multi-Dimensional Risk Matrix}

The present invention relates to a multi-dimensional (three-dimensional, etc.) risk matrix, and more specifically, a multi-dimensional support to link comprehensive risk judgment, evaluation and follow-up support in terms of process, environment, and manpower based on past statistical data. It's about the risk matrix.

Regarding construction safety management, risk management using a checklist is most widely used in the construction field because it is easy to understand and how to use it. In particular, domestic and overseas construction companies have been interested in risks from the past and started to prepare basic checklists and developed them steadily, and now, they manage risks with elaborate checklists for each company.

However, as the existing risk management method using the checklist emphasized convenience, management items were greatly simplified, and the focus was on determining the existence of a risk rather than evaluating the level of risk.

Therefore, the existing risk management method has a limitation in providing a practically valuable risk management method or risk solution because it is difficult to select key risk factors and the variety of management methods is insufficient.

Korean Registered Patent No. 10-1075063 Korean Registered Patent No. 10-1379407 Korean Registered Patent No. 10-0711572

The technical problem to be solved by the present invention is to provide a multidimensional risk matrix capable of calculating the actual risk of the process by independently analyzing and calculating the risks to the process, environment, and manpower that may have a major impact on the construction work.

In addition, the technical problem to be solved by the present invention is to provide a multidimensional risk matrix that can increase practical utilization by reflecting the experience of the manager.

In addition, the technical problem to be solved by the present invention is a multi-dimensional risk matrix that can reflect special factors to additionally review individual factors that can be ignored in the general factors that are statisticalized. It is not limited to, and other technical problems that are not mentioned will be clearly understood by those of ordinary skill in the technical field to which the present invention belongs from the following description.

In order to achieve the above technical problem, an embodiment of the present invention is a method for generating a multidimensional risk matrix for performing comprehensive risk management and evaluation for a construction process, external environment, and process participants, the construction type, the process and the process. The equipment factor evaluation step that evaluates the equipment factor by reflecting the information of the equipment input to the process according to the selection of the work place in which the process is performed, and the probability of occurrence of a safety accident in each process step by reflecting the equipment factor and the previously collected general process factors (P) and the process PI calculation step that calculates the impact intensity (I) of the occurrence of the accident, and the process experience (S) in which the special process factors previously collected are reflected in the PI result value of the process PI calculation step. Calculating process risk assessment information through the process experience level (S) reflection step, and the probability of occurrence of a safety accident by reflecting the general environmental factors previously collected according to the selection of the type of work, process, and work place where the process is performed. (P) and the environmental PI calculation step that calculates the impact intensity (I) of the occurrence of the accident, and the environmental experience level (S) in which the special environmental factors previously collected are reflected in the PI result value of the environmental PI calculation step. Calculating environmental risk assessment information through the environmental experience level (S) reflecting step, and the occurrence of safety accidents by reflecting the general human factors previously collected according to the selection of the type of work, process, and work place where the process is performed. The manpower PI calculation step that calculates the probability (P) and the impact intensity (I) of the occurrence of the accident, the manpower competency evaluation step that calculates a competency index by evaluating the capability of the manpower input to the process, and the environmental PI calculation step Comprising the step of calculating personnel risk assessment information through the step of reflecting the manpower experience level (S) in which the competency index and the previously collected special manpower factor is reflected in the PI result value, A method for generating a multidimensional risk matrix is provided, characterized in that the process risk evaluation information, the environmental risk evaluation information, and the personnel risk evaluation information are shown in three dimensions.

In an embodiment of the present invention, the equipment factor evaluation step includes: an individual equipment factor evaluation step of evaluating individual equipment factors by reflecting information on individual equipment input to the process; And an aggregate facility factor evaluation step of evaluating the aggregate facility factor by comprehensively reflecting the information of the collective facility consisting of a plurality of facilities, wherein the individual facility factor evaluation step is related to a construction site accident related to the operation of various construction equipment in the past. Incidents that occur by individual construction equipment at a construction site including at least one of the type and frequency of construction equipment accidents, the number of accidents and cumulative number of equipment accidents per set period, standard service life, and durability of each major component based on statistical data Accident information and corresponding risk information are transmitted from its own database or externally and reflected in the evaluation of individual facility users, and the collective facility factor evaluation step is based on statistical data related to construction site accidents caused by the operation of various construction equipment in the past. Accidents occurring due to contact, collision, or overturning accidents between internal construction equipment can be categorized by incident and accident information, and the resulting risk information can be transferred from its own database or external sources and reflected in the evaluation of collective equipment factors.

In an embodiment of the present invention, the general process factors include information on properties of each individual process performed according to the work place divided into the work type, the process, indoors or outdoors, a past accident history, a work type, and Includes accident statistical information for each process, and risk information contained by each type of construction and process, and information on avoidance tasks for risk avoidance and/or mitigation are set according to the selected construction type, process, and work place, and the above special process factors In the selected construction type and process, the equipment risk of the corresponding construction type and process calculated by reflecting the external environmental conditions and the equipment factors is included, but the process risk in the set area and the correlation between the external environmental conditions are reflected. It is possible to collect and reflect actual information including status and maintenance status, ground status of the current construction site, surface status, slope of the site, and surrounding area status.

In an embodiment of the present invention, in the process PI calculation step, the PI result value data is generated in a two-dimensional axis by reflecting past accident statistics information for each process selected based on past statistics information and external environmental condition information. And, in the step of reflecting the process experience (S), the manager evaluates the process experience level (S) for the risk of the individual process itself within a preset level, and the PI result value and the process experience level (S) are evaluated. A process risk matrix is generated by showing in three dimensions, and a vector value of the process risk matrix can be calculated as the process risk evaluation information.

In an embodiment of the present invention, the step of calculating the process risk evaluation information includes risk information contained by individual field workers and/or work organizations, and the risk avoidance and/or mitigation before the process PI calculation step. It may further include a process risk avoidance design step in which information on the avoidance task for the purpose is presented according to the selected construction type, process, and work place.

In an embodiment of the present invention, in the step of calculating the process risk evaluation information, the average number of years of use of individual construction equipment input according to the type of construction, process, and work place identified through reflection of individual equipment factors, safety inspection period, and safety A facility comparison index is created by relatively comparing the information on the condition with the average number of years of use, safety inspection cycles, and safety conditions of individual construction equipment put into the actual site, and the facility comparison index is the step of reflecting the process experience (S). It is presented as a numerical value in and can be used by the site manager to add or reduce the possibility of accident risk for the actual construction equipment or the risk for the entire construction and process.

In an embodiment of the present invention, in the step of calculating the process risk evaluation information, when it is evaluated that a risk accompanying a specific type of construction and/or detailed process exists, a notification pop-up or a separate addition for a specific risk item It further includes a process risk notification step in which an icon is generated together, wherein in the process risk notification step, a pop-up or icon is displayed at a set position in the multidimensional interior space of the multidimensional matrix or is positioned along the axis of the multidimensional matrix, and among the blinking and set colors At least one may be displayed and provided to draw attention and draw attention from the manager.

In an embodiment of the present invention, the step of calculating the process risk evaluation information may include, before selecting a construction type, the condition or ground condition of the soil for each divided area, the existence of an existing structure, the presence of underground deposits, and whether the surrounding slopes, Further comprising the step of separately calculating a divided area risk index in consideration of risk factors in which at least one of the surrounding building environments may cause a disaster due to an external environment, wherein the step of calculating the area risk index comprises: Establishing an accident scenario for the area; Extracting risk factors for a plurality of areas based on risk assessment due to natural disasters such as strong winds and heavy rain; Evaluating the risk of damage to the plurality of areas based on the extracted risk factors and the set accident scenario; And calculating a local risk index for the plurality of divided areas based on the evaluated damage risk.

In an embodiment of the present invention, the general environmental factor includes environmental information including at least one of geographic information, season, temperature, precipitation, and wind speed of the construction site collected according to the construction type, the process, and the work place. Including, the correlation between the selected type of work and environmental variables for each process, and environmental variables having a high environmental risk for at least one of work and air are set based on past statistical data, and the special environmental factors are The real-time environmental information of the selected region includes an environmental variable that affects the current performance task, and the environmental variable includes at least one of altitude, location, and broadband of the region in which the task is performed, and may be differentiated and reflected in detail. .

In an embodiment of the present invention, in the environmental PI calculation step, the average value of the environmental information for each section calculated through the past statistical information is calculated, and the historical accident statistical information is reflected in the risk according to the average value of the corresponding environmental information. The PI result value data is generated as the axis of the dimension, and in the step of reflecting the environmental feeling (S), the environmental feeling (S) for the environmental risk of the construction site itself is evaluated from the manager within a preset grade, An environmental risk matrix may be generated by showing the PI result value and the environmental sensitivity (S) in three dimensions, and a vector value of the environmental risk matrix may be calculated as the environmental risk evaluation information.

In an embodiment of the present invention, the step of calculating the environmental risk evaluation information includes, before the step of calculating the environmental PI, in response to risk information according to external environmental conditions that directly or indirectly affect each type of construction and process, In addition, it may further include an environmental risk avoidance design step in which information on avoidance tasks for risk avoidance and/or mitigation according to weather conditions is presented according to the selected construction type, process, and work place.

In an embodiment of the present invention, the step of calculating the environmental risk assessment information is, when it is evaluated that there is an external environmental risk that directly or indirectly affects a specific type of construction and/or detailed process, An environmental risk notification step in which a pop-up for notification about or a separate additional icon is generated together, wherein in the environmental risk notification step, the pop-up or icon is displayed at a set position in the multi-dimensional interior space of the multi-dimensional matrix or positioned along the axis of the multi-dimensional matrix. It may be provided to draw attention and attract attention of the manager by being displayed in at least one of blinking and set colors.

In an embodiment of the present invention, the calculating of the environmental risk evaluation information includes, before selecting the construction type, the condition of the soil or the ground condition for each divided area, the existence of an existing structure, the presence of underground deposits, whether the surrounding slopes, Further comprising the step of separately calculating a divided area risk index in consideration of risk factors in which at least one of the surrounding building environments may cause a disaster due to an external environment, wherein the step of calculating the area risk index comprises: Establishing an accident scenario for the area; Extracting risk factors for a plurality of areas based on risk assessment due to natural disasters such as strong winds and heavy rain; Evaluating the risk of damage to the plurality of areas based on the extracted risk factors and the set accident scenario; And calculating a local risk index for the plurality of divided areas based on the evaluated damage risk.

In an embodiment of the present invention, the general manpower factor is a property of statistical workforce input to a predetermined individual process performance task according to a work type and a type of process selected according to a work place divided into indoor or outdoor , Information on at least one of the number of required personnel for each task, space required for work, and equipment-linked work, and information on standard performance indicators according to job skills by position and competency level is set according to the selected process, and the above The special manpower factor, based on the evaluation result of the manpower competency evaluation step, is at least one of the work environment or work load, working time, physical condition, and the possibility of occurrence of a state risk according to the environment in the construction process in which the individual manpower and/or organization is deployed. It may include information that requires individual consideration for individual personnel participating in a unit process, including one.

In an embodiment of the present invention, in the step of calculating the manpower PI, the PI result value is calculated on a two-dimensional axis by reflecting the past accident statistics information for each process selected based on the past statistics information and the work manpower information input to the performance task. In the step of creating data and reflecting the manpower experience (S), the manager evaluates the manpower experience level (S) for the risk of the manpower itself within a preset level, and the PI result value and the manpower experience level (S ) Is shown in 3D to generate a manpower risk matrix, and a vector value of the manpower risk matrix may be calculated as the manpower risk evaluation information.

In an embodiment of the present invention, the step of evaluating manpower competency comprises: a step of evaluating personal competency and calculating a personal competency index; And an organizational competency evaluation step of evaluating the organizational competency and calculating an organizational competency index, wherein at least one of an individual's general and special personal information is determined using the body competency index and the work competency index. Calculating the reflected personal competency index, and the organizational competency evaluation step, inputting and/or calculating an input input; Obtaining an arithmetic mean value of the competency index for the input manpower; Reflecting process environment factors in order to reflect issues on the process's own manpower; And calculating the tissue competency index.

In an embodiment of the present invention, the step of calculating the manpower risk evaluation information includes risk information contained by individual field workers and/or work organizations, and the risk avoidance and/or mitigation before the manpower PI calculation step. It may further include a manpower risk avoidance design step in which information on the avoidance task for the purpose is presented according to the selected construction type, process, and work place.

In an embodiment of the present invention, in the step of calculating the personnel risk evaluation information, the average experience and career of individual personnel input according to the work type, process, and work place identified through reflection of individual personnel factors, accident history, and physical condition And the average experience, career, accident history, and physical condition of the individual workers who are actually put into the field to create a manpower comparison index, and the manpower comparison index is in the step of reflecting the manpower experience (S). It is presented as a numerical value and can be used by the site manager to add or reduce the risk of accidents to the actual workforce or to the overall construction and process.

In an embodiment of the present invention, the step of calculating the manpower risk assessment information is, if it is evaluated that there is a manpower-related risk that directly or indirectly affects a specific work type and/or detailed process, It further includes an environmental risk notification step in which a pop-up for notification about or a separate additional icon is generated together, wherein in the personnel risk notification step, the pop-up or icon is displayed at a set position in the multidimensional interior space of the multidimensional matrix or is located along the axis of the multidimensional matrix. It may be provided to draw attention and attract attention of the manager by being displayed in at least one of blinking and set colors.

In order to achieve the above technical problem, another embodiment of the present invention is a method for generating a multi-dimensional risk matrix for performing comprehensive risk management and evaluation on the construction process and external environment, the work type, the process and the work in which the process is performed. Facility factor evaluation step that evaluates the facility factor by reflecting the information of the facility inputted to the process according to the selection of the place, the probability of occurrence of a safety accident in each process step (P) by reflecting the facility factor and the previously collected general process factor Process PI calculation step that calculates the impact intensity (I) of the occurrence of the accident, and process experience that additionally reflects the process experience level (S) in which special process factors previously collected are reflected in the PI result value of the process PI calculation step (S) The probability of occurrence of a safety accident by reflecting the general environmental factors previously collected according to the step of calculating process risk evaluation information through the reflection step, and the selection of the work type, process, and work place where the process is performed (P) Environment experience that additionally reflects the environment experience level (S) that reflects the special environmental factors previously collected in the PI result value of the environment PI calculation step and the environmental PI calculation step that calculates the impact intensity (I) according to the occurrence of accidents and accidents It provides a multidimensional risk matrix generation method comprising the step of calculating environmental risk evaluation information through the reflection step (S), and showing the process risk evaluation information and the environmental risk evaluation information in a matrix.

In order to achieve the above technical problem, another embodiment of the present invention is a method for generating a multidimensional risk matrix for performing comprehensive risk management and evaluation for construction processes and process participants, in which construction types, processes, and the processes are in progress. Facility factor evaluation step that evaluates the facility factor by reflecting the information of the facility input to the process according to the selection of the work place being selected, the probability of occurrence of a safety accident in each process step by reflecting the facility factor and the previously collected general process factor (P ) And the process PI calculation step of calculating the impact intensity (I) of the occurrence of the accident, and a process that additionally reflects the process experience (S) in which the special process factors previously collected are reflected in the PI result value of the process PI calculation step The probability of occurrence of a safety accident by reflecting the process risk evaluation information through the experience level (S) reflection step, and by reflecting the general human factors previously collected according to the selection of the work type, process, and work place where the process is performed ( P) and the manpower PI calculation step that calculates the impact intensity (I) of the occurrence of the accident, the manpower capability evaluation step that calculates the competency index by evaluating the capabilities of the manpower input to the process, and the PI result of the environmental PI calculation step Comprising the step of calculating personnel risk assessment information through the step of reflecting the personnel experience level (S) in which the competency index and the previously collected special manpower factor is reflected in the value, and the process risk It provides a method for generating a multidimensional risk matrix, characterized in that the evaluation information and the personnel risk evaluation information are shown in a matrix.

In order to achieve the above technical problem, another embodiment of the present invention is a method for generating a multidimensional risk matrix for performing comprehensive risk management and evaluation on external environment and process participants, in which the type of work, process, and process are in progress. The environmental PI calculation step of calculating the probability of occurrence of a safety accident (P) and the impact intensity (I) of the occurrence of the accident by reflecting the general environmental factors previously collected according to the selection of the workplace, and the PI of the environmental PI calculation step Calculating environmental risk assessment information through the step of reflecting the environmental feeling (S) additionally reflecting the environmental feeling (S) in which the collected special environmental factors are reflected in the result value, and the construction type, process and the process Manpower PI calculation step that calculates the probability of occurrence of a safety accident (P) and the intensity of impact (I) by reflecting the general manpower factors previously collected according to the selection of the work place in progress, Manpower experience that additionally reflects the manpower experience (S) reflecting the competency index and the previously collected special manpower factors in the PI result value of the environmental PI calculation step and the manpower competency evaluation step that evaluates the capability to calculate the capability index Fig. (S) provides a method for generating a multidimensional risk matrix, comprising the step of calculating personnel risk evaluation information through a reflection step, and showing the environmental risk evaluation information and the personnel risk evaluation information in a matrix.

In order to achieve the above technical problem, another embodiment of the present invention is a method for generating a process risk matrix for performing risk management and evaluation for a construction process, in the selection of a work type, a process, and a work place where the process is performed. Accordingly, an equipment factor evaluation step of evaluating equipment factors for equipment input to the process; A process PI calculation step of calculating the probability of occurrence of a safety accident (P) and an impact intensity (I) according to the occurrence of the accident by reflecting the facility factors and the previously collected general process factors; A process experience level (S) reflecting step of additionally reflecting a process experience level (S) in which the special process factors previously collected are reflected in the PI result value of the process PI calculation step; And generating a process risk matrix by showing the probability of occurrence (P), the impact intensity (I), and the process experience (S) in three dimensions, including, and processing the vector value of the process risk matrix. It provides a process risk matrix generation method, characterized in that it is calculated from risk evaluation information.

In order to achieve the above technical problem, another embodiment of the present invention is a method for generating an environmental risk matrix for performing risk management and evaluation on an external environment, in the selection of a work type, a process, and a work place in which the process is performed. PI calculation step of calculating the probability of occurrence of safety accidents (P) and the intensity of impacts (I) according to the occurrence of the accident by reflecting the general environmental factors previously collected; An environmental experience level (S) reflecting step of additionally reflecting a process experience level (S) in which the special process factors previously collected are reflected in the PI result value of the environment PI calculation step; And generating an environmental risk matrix by showing the probability of occurrence (P), the impact intensity (I), and the environmental experience (S) in three dimensions; including, the vector value of the environmental risk matrix It provides a method of generating an environmental risk matrix, characterized in that it is calculated from risk evaluation information.

In order to achieve the above technical problem, another embodiment of the present invention is a method of generating an environmental risk matrix for performing risk management and evaluation for process participants, in the selection of the type of work, the process, and the work place where the process is performed. Manpower PI calculation step of calculating the probability of occurrence of safety accidents (P) and the intensity of impacts (I) according to the occurrence of the accident by reflecting the general manpower factors previously collected according to the process step; A manpower competency evaluation step of calculating a competency index by evaluating the competency of manpower inputted into the process; The manpower experience level (S) reflecting step of additionally reflecting the process experience level (S) in which the capability index and the previously collected special manpower factors are reflected in the PI result value of the manpower PI calculation step; And generating a manpower risk matrix by showing the probability of occurrence (P), the impact intensity (I), and the manpower experience level (S) in three dimensions; including, wherein the vector value of the manpower risk matrix is manpowered. It provides a method for generating a manpower risk matrix, characterized in that it is calculated from risk evaluation information.

In order to achieve the above technical problem, another embodiment of the present invention provides a multidimensional risk matrix generated by the above-described risk matrix generation method.

According to an embodiment of the present invention, it is possible to create a multidimensional risk matrix that supports linkage of comprehensive risk judgment, evaluation, and follow-up support in terms of process, environment, and manpower based on past statistical data.

In addition, according to an embodiment of the present invention, it is possible to calculate the actual risk of the process by independently analyzing and calculating the risks to the process, environment, and manpower that may have a major impact on the construction work.

In addition, according to an embodiment of the present invention, it is possible to increase practical utilization by reflecting the experience of the manager.

In addition, according to an embodiment of the present invention, a special factor may be reflected to additionally review individual factors that can be ignored in the general factors to be statistics.

In addition, according to an embodiment of the present invention, it is possible to determine and evaluate in advance a risk (risk, risk) due to an interference relationship between various construction “work types” or “processes”.

In addition, according to an embodiment of the present invention, changes in internal and/or external environments such as various construction sites (including weather information such as wind direction, wind speed, temperature, rainfall, snowfall, etc. by altitude), and the status of the input field workers (health, It is possible to quantitatively diagnose and evaluate potential risk (risk) for each “work type” and/or “process” as well as changes in work period due to changes in field conditions such as competency, experience, physical condition, etc.). There will be.

In addition, according to an embodiment of the present invention, not only the numerical and quantitative evaluation of the risks of the process itself, but also the process-environment linkage, process-manpower linkage, process-environment-manpower linkage, etc. By numerically converting information on the degree of risk (risk), it is possible to manage and monitor multiple construction site sites in real time by a site manager or remotely.

In addition, according to an embodiment of the present invention, based on these potential risks (risk level), it is possible to support the decision to change a business plan, change a design or change a work schedule, and input additional facilities/manpower. By supporting the site and/or remote management, monitoring and evaluation of potential risks such as accidents based on the individual project period for each construction site, human accidents, etc. are prevented in advance and safety management of construction sites is better. It will be possible to support so that it can be performed efficiently.

The effects of the present invention are not limited to the above effects, and should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present invention.

1 is a flowchart illustrating a method of generating a multidimensional risk matrix according to an embodiment of the present invention.
2 is a flow chart illustrating a process risk matrix generation method according to an embodiment of the present invention.
2A is an exemplary diagram illustrating a process PI value in a two-dimensional graph according to an embodiment of the present invention, and FIG. 2B is an exemplary diagram of a three-dimensional process risk matrix according to an embodiment of the present invention.
3 is a flowchart illustrating a method of generating an environmental risk matrix according to an embodiment of the present invention.
3A is an exemplary diagram showing an environmental PI value in a two-dimensional graph according to an embodiment of the present invention, and FIG. 3B is an exemplary diagram of a three-dimensional environmental risk matrix according to an exemplary embodiment of the present invention.
4 is a flowchart illustrating a method of generating a human resource risk matrix according to an embodiment of the present invention.
FIG. 4A is an exemplary diagram showing a manpower PI value in a two-dimensional graph according to an exemplary embodiment of the present invention, and FIG. 4B is an exemplary diagram of a three-dimensional manpower risk matrix according to an exemplary embodiment of the present invention.
5 is a flow chart showing in detail the organizational competency evaluation step of FIG. 4.
6 and 7 are diagrams showing a multidimensional risk matrix according to another embodiment of the present invention.

Hereinafter, the present invention will be described with reference to the accompanying drawings. However, the present invention may be implemented in various different forms, and therefore is not limited to the embodiments described herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and similar reference numerals are assigned to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected (connected, contacted, bonded)" with another part, it is not only "directly connected", but also "indirectly connected" with another member in the middle. "Including the case. In addition, when a part "includes" a certain component, it means that other components may be further provided, rather than excluding other components unless specifically stated to the contrary.

The terms used in the present specification are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or a combination thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a flowchart illustrating a method of generating a multidimensional risk matrix according to an embodiment of the present invention.

Referring to FIG. 1, a method for generating a multidimensional risk matrix according to an embodiment of the present invention for performing comprehensive risk management and evaluation for the construction process, external environment, and process participants is the step of selecting a construction type (S100), a process Selecting (S200), selecting a work place divided into indoor or outdoor (S300), calculating process risk evaluation information (S400), calculating environmental risk evaluation information (S500), manpower risk It may include a step (S600) of calculating evaluation information.

At this time, “Construction Type” refers to the type and item of construction, and “Progress” refers to the individual construction process (progress) according to each individual work type.

“Risk” according to the present invention is inherent in the type of construction or process, that is, depending on the type of construction and equipment input to the process, environmental factors inside and outside the construction site, working time conditions, working type, etc. Procedural errors, task execution errors that may occur in the course of construction work, such as manpower and equipment input to the work type and process, and/or pre-requisites for the stable execution of the current construction type or process It refers to the risk of loss of life and/or property that may occur due to failures in meeting activity preconditions.

The “risk (risk)” according to the present invention may be quantified (quantified) as a score within a scale range such as “1 to 10”, or generated or expressed in a grade such as “upper-medium-low”.

The “matrix” according to the present invention is a risk value (number) based on the results of past statistical analysis according to factors by process, environment, and personnel, and a sensor network (and/or a site manager) built at a construction site. Based on the real-time risk value (numerical value) through analysis of the data collected through the current risk value (number) that is evaluated based on past data and assigns a random value, and a prediction algorithm (Monte-Carlo simulation, etc.) Based on the risk value (numerical value) according to the future prediction, each (that is, for example, the risk for “process” is calculated as past, present, and future predicted value (numerical value), respectively, and it is calculated in the form of a 3D vector or a 3D graph. Creation) can refer to urbanization.

In addition, unlike the above description, the "matrix" according to the present invention is a multidimensional (3D matrix) or 2D, which is a comprehensive schematic of process (X axis)-environment (Y axis)-manpower (Z axis). Multi-Dimensions) graphs can be defined in various shapes and shapes.

In addition, unlike the above descriptions, the “matrix” according to the present invention combines any two of factors for each process, environment, and manpower, so that the past risk value, the current risk value, and the future risk value ( It can also refer to image data created in the form of a multidimensional graph, coordinates, or diagram, such as 2D or 3D, based on numbers and numbers).

In step S100, a construction type for risk management may be selected, and in step S200, a detailed progress according to the construction type may be selected.

In addition, according to an embodiment of the present invention, step S100 and/or step S200 may include assigning a detailed sequence number code for each individual type and process sequentially or according to a preset priority. In addition, in step S100 and/or step S200, the detailed name of the construction work, the name of the person in charge/worker of the construction work, the detailed construction schedule, the materials input for the construction work, the detailed construction work specifications, the construction work CAD or 3D building information modeling ( Data such as BIM), construction cost details for each construction type and process, construction work process, etc. may be received or transmitted from the outside and stored and utilized for calculation or processing.

Next, in step S300, it is possible to select whether the work place is indoors or outdoors, and the work place is selected to reflect information on comprehensive environmental conditions that may affect the process.

Step S300 is a step in which external environmental factors such as temperature, rainfall, wind speed, and wind direction are greatly received depending on whether the work place is indoor or outdoor, and the risk is also changed accordingly.

Therefore, through step S300, the effect of rain, wind, and temperature is limited in indoors (for example, inside a structure under construction, inside a tunnel, etc.) that are not affected or less affected by the external environment, and thus the risk of the process itself is limited. In case of limited circumstances, additional risks that may occur depending on the external environment are risks by process, environment and/or manpower through means such as lowering or excluding weights for internal and/or external environmental factors at the work site. The value (numerical value) can be modified, changed, or adjusted.

On the other hand, in the case of an outdoor process that is directly exposed to the outside, for example, while it is raining, there are restrictions on work such as external painting or welding, and in consideration of areas where the possibility of a worker's safety accident increases due to high temperatures, etc. In step S300, the manager or the like may be able to further reflect not only the risk of the work type or the process itself, but also the additional weight or importance of the internal and/or external environmental factors of the work site to the numerical (quantified) risk.

Through this step S300, site managers and/or remote managers can more proactively and objectively identify risks that need to be considered differently depending on internal and external environmental conditions and site conditions, even for construction work in the same type and process. Through this, it is possible to give higher reliability to the multidimensional risk matrix.

Next, step S400 is a step of generating a process risk matrix for carrying out risk management and evaluation on the construction process to calculate process risk evaluation information.Equipment factor evaluation step (S410), general process factor matching step (S420), A process PI calculation step (S430), a special process factor matching step (S440), a process experience (S) reflection step (S450), and a process (Activity) axis generation step (S460) may be included.

Here, step S400 will be described in detail with reference to FIG. 2.

2 is a flow chart illustrating a process risk matrix generation method according to an embodiment of the present invention.

Specifically, in step S410, the equipment factor for the facility input to the process selected in step S200 may be evaluated.

Here, step S410 is an individual facility factor evaluation step (S412) for evaluating individual facility factors by reflecting information on individual facilities input to the process, and collective facility factors by comprehensively reflecting information on a group facility consisting of a plurality of facilities. It can be performed by reflecting the data generated in the evaluation step (S414) of the aggregate facility factor to be evaluated. In other words, the average data on individual facilities and/or collective facilities that were put in the same or similar to the current type/process (usually the same, the number of years of use of facilities put in a similar process, inspection status, etc., as described below) should be reflected. This past statistical data can be used to determine the process experience (S) by reflecting the state of individual/assembly facilities that are put into the present.

Individual facility factor evaluation step (S412) is, after sequentially proceeding with the work type selection (S100), process selection (S200), and work place selection (S300), the characteristics and circumstances of the work type, process, and work place (indoor and outdoor), Construction equipment suitable for construction progress (excavator, bulldozer, tower crane, loader, forklift, scraper, dump truck, etc.) can be automatically or selectively reflected. In addition, in the individual facility factor evaluation step (S412), based on statistical data related to construction site accidents from the operation of various construction equipment in the past, the average accident occurrence issue for each type of construction equipment, that is, the type of construction equipment accident (for example, tower crane Collapse of upper structures such as telescopic cages, jib breakage, material fall, etc.), frequency, number of equipment accidents per set period and cumulative number, standard service life, durability of each major component, etc. You can receive information about accidents and accidents and related risk information from its own DB or from outside.

The collective facility factor evaluation step (S414) is a step capable of reflecting the weighting or reduction of the risk through the intensity of mutual influence between individual construction equipment reflected in the individual facility factor evaluation step (S412). That is, the collective facility factor evaluation step (S414) is the range in which the reflected individual construction equipment operates (rotates) after sequentially proceeding with the construction type selection (S100), process selection (S200) and work site selection (S300) steps, and the site Main traffic lines and first construction equipment (e.g. tower crane) to be moved within the construction site.Second construction equipment (e.g., tower cranes different from the horizontal plane, dump trucks or other construction equipment moving or parking below the vertical plane) ) Is located, the mutual impact relationship of movement and/or operation, and/or the additional risks that may occur due to the operation, movement, etc. between the first construction equipment and the second construction equipment adjacent to it within the set area (range). This is a step that can be done. That is, the collective facility factor evaluation step (S414) is based on statistical data related to construction site accidents from the operation of various construction equipment in the past, based on the accident occurrence issues caused by contact, collision, and overturning accidents between construction equipment in the site. It is categorized, and risk information can be delivered from its own DB or from outside.

In other words, the individual facility factor evaluation step (S412) is a step in which risks based on past statistical data for individual construction equipment reflected according to the construction type, process, and work place selection can be transmitted and/or input. Factor evaluation step (S414) is a range in which one or more construction equipment is set (within the construction site) by reflecting the construction site installation location and/or main moving path and work range of individual facilities derived through the individual facility factor evaluation step (S412). Risks for personal accidents, property accidents, etc. that may occur while operating and/or moving in the system can be viewed as a stage that can be transmitted and/or input based on historical statistical data.

Next, in step S420, process risk information according to the selected construction type, process, and work place selection can be generated and/or input, and optional equipment factors (information generated through steps S412 and/or S414) can also be reflected. have.

Here, the general process factor step (step S420) may include self-property information of each individual process performed task collected according to a work type, a process, and a work place, a past accident history, and accident statistics information for each work type and process. Statistical information on accidents related to life/property for each type of work and process can be found in past statistical data according to standardized work types defined by the KOSHA Code (Korea Occupational Safety & Health Agency, Guidelines on Establishment of Safety and Health Management System) or standard construction specifications. DB, for example, Korea Occupational Safety and Health Agency, cases and countermeasures for major construction accidents), or can be based on data that is already secured by construction companies, local governments, and governments, or is currently continuously monitored and updated.

However, the general process factor step (step S420) according to the present invention is the property of the process itself occurring in various domestic and overseas construction sites in real time through wired and wireless communication networks in addition to past statistical data (in the case of tunnel excavation work, This refers to risks inherent in individual processes or individual constructions included in the process, such as collapse due to accidents, tunnel excavation, and risk issues that may arise from the operation of equipment for tunnel excavation. In other words, it refers to external environmental issues such as the weakness of the rock mass targeted for tunnel excavation, the presence of groundwater, and environmental risk issues due to external weather information, etc. In addition, the attributes of the manpower itself to be described later are individual processes and manpower participating in construction. It can be defined as a risk inherent in risk issues due to physical conditions, such as a unit or a group of individual personnel). Real-time construction accident occurrence and accident cause and damage data are reflected in real time. It can also be collected.

In addition, as described above, the general process factor step (S420) is the type of work, process, and work in which information on risk information, mitigating activities for risk avoidance and/or mitigation, is selected, as described above. It may further include steps and processes (“process risk avoidance design stage”) presented depending on the location, through which the site manager recognizes in advance the risk of the construction site work to be carried out at the present or in the near future. It can also be supported to help establish countermeasures against them in advance.

Next, step S430 is a process PI calculation step, in which general process factors are reflected to calculate the probability of occurrence of a safety accident (P, Probability) and an impact intensity (I, Impact) according to the occurrence of the accident. Here, the probability of occurrence (P) and intensity of impact (I) refer to the likelihood of occurrence of a construction accident in the construction site (P) and the intensity of damage (I) in the construction site to evaluate the risk. The probability of accidents such as (personal accidents, etc.) and the amount of losses due to accidents by type of work/process/workplace can be expressed numerically and financially.

In this process PI calculation step (S430), it is based on statistical information related to past accidents that occurred according to the type of work/process and the state of the work place, and reflects the historical accident statistics information for each selected individual process. PI result data can be generated with multidimensional axes.

Hereinafter, the process PI calculation step S430 will be described in more detail with reference to FIGS. 2A and 2B.

FIG. 2A is a diagram showing a process PI value according to a bridge construction type according to an embodiment of the present invention, that is, a risk value for each detailed process in a two-dimensional graph, and FIG. 2B is a three-dimensional process according to an embodiment of the present invention. This is an exemplary diagram of a risk matrix.

As shown in FIG. 2A, the process PI calculation step (S430) according to an embodiment of the present invention includes the probability of occurrence of a past accident (P) for each detailed process for each type of work and the intensity of impact (I, After each derivation (which can be expressed as a monetary value) (Fig. 2A(a)), PI values for each type and/or process, and detailed process can be comprehensively calculated (Fig. 2A(b)). In addition, a process PI may be calculated by integrating the entire construction type for each construction site (for example, a graph as shown in Fig. 2A(b) shown for each construction type is generated for each construction type, and a plurality of generated graphs for each construction type are overlapped or combined). And the form in which the process PI is calculated according to the total construction type of the construction site, etc.).

In addition, differently (and together), the data of the process PI result value described above may be generated as a numerical value such as a scale of 1 to 10.

Next, in step S440, it refers to a special process factor step in which the equipment factor actually inputted according to the selected construction type and process is reflected.

The special process factor in the special process factor step (S440) refers to information on the actual input construction equipment for each process and the conditions of the corresponding construction equipment and external environmental conditions (reflecting work place selection information) to the selected construction type and process. For example, whether a tower crane actually put into the construction site is registered as a construction machine, whether a safety inspection (regular and occasional inspection) is confirmed, the time and period of confirmation, the manufacturing year, the manufacturing and management operating company, the accident history, the installation of the tower crane. ), qualification of the dismantling worker (manufacturer/scaffolding technician, etc.) and career/history information, whether or not the tower crane pilot to be put into operation has a license and career/history, and the condition of the ground, which is the ground plane of the installed tower crane. have. That is, in the special process factor step (S440), actual data on the individual history of various construction equipments input to the actual construction site and pre-elements related to installation that must be prepared in advance for the set work progress are input by the site manager or the like. , It may include receiving input, management, and storing through various sensors installed in individual equipment.

That is, the special process factor (reflecting As-IS information) according to the present invention is a general process factor that generates information about the natural disaster occurrence of the construction equipment and the work type/process itself that have been introduced according to the construction type/process based on past statistical data. In contrast, actual information such as the condition and maintenance status of construction equipment such as tower cranes that are actually put into the construction site, the ground condition of the current construction site, the surface condition, the slope of the site, and the condition of the surrounding area are collected and reflected. There are differences that can be quantified.

In addition, the special process factor step (S440) according to the present invention includes the average number of years of use, safety inspection period, and safety of individual construction equipment generally input according to the type of construction/process/workplace identified through the individual facility factor step (S412). It is also possible to generate a separate “equipment comparison index” by comparing the information on the condition and the average number of years of use, safety inspection period, and safety status of individual construction equipment actually put into the site. These “equipment comparison indicators” are presented as numerical values at the S (experience level) input step (S450), which will be described below, so that the site manager, etc. It can be used to add or subtract. For example, a tower crane that is actually used at the construction site has been recently produced compared to a tower crane that is normally input, and the structure of the mast horizontal support to which the cylinder support is fixed has been strengthened and reinforced, compared to the conventional tower crane that is normally used. In the case of higher safety and higher safety, a relatively better rating is given on the “equipment comparison index” generated in the special process factor step (S440), and the given rating is presented in the S (experience level) input step (S450). In this way, it is supported to allow site managers to further mitigate and evaluate the possibility of risk occurrence at the level of experience input. These “equipment comparison indicators” can be expressed in scale units such as 1-10. If new construction equipment that has superior durability compared to existing construction equipment is introduced, it can be used as one of the executions of mitigating activities that can be derived in step S420.

In addition, the special process factor step (S440) is a process that reflects the relationship between the risk of the process within the set area/zone/area/range (inspection of equipment used in the process, facility capability evaluation, etc.) and external environmental conditions. Risks are calculated for each region/region/area/range, but it can be used to calculate real-time and/or predicted risks for each process by reflecting current and/or future external environmental condition information. To this end, accidents such as arrangement and movement between construction and maintenance (equipment) according to the operating conditions of a plurality of facilities that are normally input for each type/process evaluated in the collective facility factor step (S414), and contact on the horizontal/vertical surface according to the operating movement line. Possibility of accidents such as arrangement and movement between the average value of occurrence (based on past data) and construction equipment put into the actual evaluation target, and contact on the horizontal/vertical surface according to the operating flow (input by the site manager or individual equipment in the current state) The “facility comparison index” can be additionally created by comparing the data based on data transmitted and input through a sensor network attached to or placed in the field). These “equipment comparison indicators” are linked with virtual sensors installed in the construction site, and the arrangement and movement of individual/combined construction equipment according to the external weather environment (wind speed, wind direction, outdoor temperature, humidity, rainfall, etc.), and restrictions or contact in operation. It is also possible to additionally generate predictive information on the occurrence of an accident such as, and generate an index for comparison (past-present-future), and such an index may be considered in the S (experience level) input step S450.

Next, in step S450, it refers to the step of inputting S (sensory level, significance) in which the manager or the like can subjectively evaluate the risk (risk) of the individual process itself.

In other words, in step S450, the process experience level (S, Sensory Level/Significance) for the risk of each process itself from the site manager, etc., is calculated in the past statistical data (PI value, derived through step S430) and special process factors (S410). Based on current and/or future forecast data, comparatively and judged (“equipment comparison indicators”, etc. can be used as evaluation data together), and can be input by field managers or remote project managers. However, unlike historical statistical data (PI value, derived through S430 step) that can be objectively quantified and derived, S (Experience, Significance/Sensory Level) input step in consideration of the limitations subjectively evaluated by the site manager In step S430, it is desirable to simplify the evaluation index to reduce errors caused by the evaluator's subjective judgment rather than the evaluation index in step S430. For example, the evaluation index in step S430 has a wide evaluation range with a scale such as 1 to 10, whereas in step S450 the evaluation range (interval) is narrowed, such as upper/middle/lower, to narrow the range of options that can be given to each evaluator. It is possible to minimize the possibility of errors due to the viewpoints of each evaluator.

For example, the level of process experience (S) can be classified only on a three-score scale of upper, middle, and lower, and site managers can evaluate the degree of process experience (S) on a three-score scale of upper, middle, and lower. The PI result value derived in the calculation step S430 may be added or subtracted and further reflected.

In addition, in the S450 stage, in the evaluation of the process experience (S), whether the mitigating activities derived and presented in the general process factor stage (S420) were reflected in the actual construction site to be evaluated in the risk assessment. The evaluation of the evaluation is also reflected so that it is possible to support the evaluation of experience level (S) of field evaluators. That is, the process experience level (S) according to the present invention can be added or subtracted to the PI result value in consideration of the ease of execution of the above-described avoidance task, whether the execution asset is held, etc., and (or separately) based on the PI value and the S value. It is also possible to create a three-dimensional matrix.

Next, step S460 is a process axis generation step, and a process risk matrix may be generated. Here, the process risk matrix may be generated by showing the probability of occurrence (P), the intensity of influence (I), and the degree of process experience (S) in three dimensions. In this process risk matrix, vector values can be calculated as process risk evaluation information.

In summary, in step S400, the probability of occurrence (P) and the intensity of impact (I) are calculated based on the current status of individual/combined construction equipment that have been put into each construction type/process and the historical data related to the accident accident for each process. The risk is calculated, but at the present time, the manager, etc., has subjectively evaluated the actual situation of individual construction sites, the status and status of individual/combined construction equipment, and the risk (risk) of each process itself. S) It is possible to derive the process axis (X-axis) with increased practical utilization by reflecting the risk of equipment (construction equipment) used in the process. In other words, in the case of the present invention, a “significance” item that can encompass risk attributes other than the probability of occurrence of a disaster accident considering the condition of the work place and the impact intensity (loss) in consideration of the condition of the work place was added to the construction work by construction type/process. In addition, it has a feature that allows the evaluator who manages the risk of the evaluator such as the site manager to additionally reflect the degree of intuitive and comprehensive experience of the importance of the risk. In addition, for each risk scenario, the evaluator, such as the site manager, can use the PIS quantification technique based on the assessed risk occurrence probability (P), impact intensity (based on I, loss amount), and experience information (S). The evaluation is divided into A, B, C, D, and E, or the process risk is evaluated in the same range as the 1-10 scale as described above, and confirmed and managed, or the evaluation is performed in a matrix such as 3D as shown in FIG. 2B. You can check it more visually.

In addition, the process risk matrix for each construction site type or individual process for one specific construction site can be grouped into units of work type or construction site and shown as a three-dimensional risk matrix. This is an example of a three-dimensional matrix. 2B (3D process risk matrix according to an embodiment of the present invention) may be the same as FIG.

That is, the risk matrix according to an embodiment of the present invention, as shown in FIG. 2B, is based on the probability of occurrence (P), the intensity of influence (I), and the degree of experience (S) for each individual type and/or individual process. It can be provided in the form of a three-dimensional risk matrix. In addition, the value corresponding to the axis related to the probability of occurrence (P) and the axis related to the intensity of influence (I) that can objectively form a numerical value generated based on real-time observation data in the past or present ranges from 1 to 10. While it is provided as a scale of the manager, etc., the value corresponding to the axis corresponding to the sense of experience (S) that reflects the subjective numerical value of the manager, etc. is the result value according to the manager's mental state or the manager's judgment. Correction of problems or issues that may vary (i.e., the level of sensation (S) that each manager feels or thinks may be different, thereby correcting the part where the overall indicator or numerical value of the risk matrix may differ greatly) For this purpose, the width or scale that can be selected relative to other axes such as top/middle/bottom, which has relatively little variation, can be reduced and entered. Through this, it is possible to respond to the limit in which the risk matrix result value or the intermediate calculated value (a numerical value related to risk) can change significantly depending on the propensity of the user, manager, etc. who conduct the evaluation based on the risk matrix such as the manager. . This part can be equally applied to the description corresponding to FIG. 3B or 4B to be described below.

Exemplarily, the multidimensional risk matrix according to an embodiment of the present invention shown in FIG. 2B shows a state in which the risk value of the activity factor for the “bridge” construction type is calculated, and as shown in FIG. 2B, The probability of occurrence (P) was 4.5 points based on 10 points, the impact strength (I) was 5 points based on 10 points, and the sensory sensitivity (S) was rated “Medium” for high/medium/load, based on these individual values. As a result, it is possible to generate a 3D vector value (a risk value calculated according to a preset method such as an average, a weighted average, or add/subtract) (6.5 in FIG. 2B). However, the calculation method of the 3D vector value is automatically calculated by a separately preset algorithm or calculation formula, or the increase or decrease of one or more of the probability of occurrence (P), the intensity of influence (I), and the degree of sensation (I). It can be calculated and illustrated in various ways, such as being reflected and calculated in consideration of the situation. This part can be equally applied to the description corresponding to FIG. 3B or 4B to be described below.

For reference, the “site” shown in FIGS. 2B, 3B and 4B are all indicated as “A site”, but unlike this, a risk matrix is generated corresponding to each individual site corresponding to a plurality of sites. What can be done should also be considered.

After step S400, for individual processes (or construction sites, etc.) with a high risk level (or vector value, see FIG. 2B), additional avoidance tasks and resources for execution of avoidance tasks are recommended and/or rearranged, You can monitor the progress of the avoidance task performed or evaluate the performance.

In addition, in the process axis creation step (S460) according to the present invention, when it is evaluated that a risk accompanying a specific type of construction and/or detailed process exists, a pop-up for notification or a separate additional icon ( Icon), etc., can be added together with a “process risk notification step”, so that site managers can check it more easily. At this time, in the above-described “process risk notification step”, a pop-up or icon is displayed at a set position in the 3D inner space of the matrix formed in 3D or is located along the axis of the 3D matrix, blinking, and It can be provided to draw attention and attract attention of managers with prominent colors. In addition, if there are multiple risks, the size of the pop-up window/icon, the number of flashes/intensity, and the display position are different depending on the risk priority set in advance, such as the order of the high probability of occurrence (P) or the largest impact intensity (I). It can be displayed, and it can be greatly expanded or supported to view detailed risk contents in response to a click of a manager or the like.

In addition, the step of calculating the process risk evaluation information according to the present invention (S400) is a pattern (for example, a construction tool, a construction area/zone, etc.) that sets a plurality of areas that may be included in a construction type and/or a process conducted in one or more areas. After dividing into regions), each process risk for each divided region may be calculated through the above-described process, and a process risk matrix may be generated for each divided region.

In addition, the step of calculating process risk evaluation information according to the present invention (S400) is, prior to step S100, the condition of the soil or the ground for each divided area, the existence of an existing structure, the presence of underground deposits, the surrounding slope, and the surrounding construction. It may further include a step of separately calculating the divided “regional risk index” in consideration of “risk factors” that may cause disasters such as ground subsidence due to external environments such as abnormal weather conditions. In this case, the step of calculating the “regional risk index” is the step of setting an accident scenario for the divided area, and extracting the “risk factor” for a plurality of areas based on risk assessment due to natural disasters such as strong winds and heavy rain. Step, evaluating the damage risk for the plurality of areas based on the extracted “risk factor” and the set accident scenario, and the “area risk index for the plurality of divided areas based on the evaluated damage risk” You may want to include the step of calculating ".

In addition, the method of calculating PI (probability and intensity of impact) and/or S (experience) mentioned in the step (S400) of calculating process risk evaluation information according to the present invention, or a matrix or axis generated based on this The basic frame related to (X-Axis) can be equally applied to the creation of an environmental axis and/or an attraction axis to be described later.

Next, step S500 is a step of generating an environmental risk matrix for performing risk management and evaluation on the external environment to calculate environmental risk evaluation information, the general environmental factor matching step (S510), the environmental PI calculation step (S520), It may include a special environmental factor matching step (S530), an environmental feeling (S) reflecting step (S540), and an environment axis generating step (S550).

Here, step S500 will be described in detail with further reference to FIG. 3.

3 is a flowchart illustrating a method of generating an environmental risk matrix according to an embodiment of the present invention.

Specifically, in step S510, general environmental factors may be matched according to the selected construction type, process, and work place. Here, general environmental factors are seasonal and/or seasonal temperature and precipitation that may affect geographic information of the construction site collected according to construction type, process, and work place, and work and/or air by construction type/process. It may include comprehensive environmental information such as wind speed. These general environmental factors include a database built with past weather and climate information data for the region (area) corresponding to the target construction site and/or weather and climate information for a set past period received from the Meteorological Administration and external service providers. Can be

In addition, the data on external environmental conditions such as weather and climate collected in step S510 can specify detailed location information based on the lot address of the construction site, latitude and longitude coordinates, and GIS (even in the case of multiple divided sites, Corresponding to each site), and input various weather climate data such as temperature, wind speed, wind direction, rainfall, fine dust, precipitation type, sky condition, humidity, lightning condition, earthquake intensity, etc. corresponding to the site based on this specified location information / May be transmitted and stored data.

In addition, in step S510 according to the present invention, various meteorological and climate information is organized by type (temperature, wind speed, etc.), and meteorological disasters (drop-out of structures due to strong winds, heavy rain, etc.) within a set period (1 month, 6 months, 1 year, etc.) After the probability score of the occurrence of underground structures due to flooding) is calculated statistically, the number of days or the number of statistical abnormalities can be calculated based on the past weather and climate data of the relevant area (construction site). In addition, the calculated number of days or number of statistical abnormal situations is scored and indexed to provide statistical information on past events and accidents related to delays due to weather conditions or loss of life and/or property during the set period (construction period) at the construction site. It can be analyzed and calculated. It may further include calculating a final probability score by arithmetic average of the calculated probability score for each type of weather climate.

In addition, such climatic and weather information can be stored or transmitted by classifying weather and climate information such as wind speed, wind direction, temperature, humidity, etc., which are different for each altitude by altitude, that is, when high-rise structures are being built, and past weather and climate information. Based on the data, weather and climate information for each altitude can be converted into a vertical distribution form and converted into a DB. For example, the weather climate information considering the vertical distribution by altitude is calculated by calculating the amount of change in temperature by altitude according to the standard atmospheric insulation lapse rate formula (-6.5℃/1000m), or dry insulation loss rate is -.8/km, The wet insulation lapse rate can be considered as -4.5/km, and the actual atmospheric condition can be applied by setting the average temperature lapse rate to 6.5. In addition, in the case of rainfall, the vertical distribution can be calculated as the same, and in the case of wind speed, the height from the surface is taken into consideration, such as the condition of the ground surface of the construction site (green area, open field, etc.) or the height and closeness of structures such as surrounding buildings. It can be set to increase as it increases. In addition, in order to secure the reliability of past data, information on external environmental conditions such as various weather conditions is supplementally collected by wind sensors, temperature sensors, humidity sensors, etc., formed at predetermined locations such as inside and outside the construction site, and evaluates and/or Alternatively, it can be used together with analysis, calculation, etc. (Reference materials related to the vertical distribution of meteorological climate according to altitude. Korean Patent No. 10-1,379,407).

In addition, as for general environmental factors, environmental variables having high environmental risk, such as a correlation with an environmental variable for each type of work/process and work/air, may be set based on past statistical data.

In addition, step S510 corresponds to risk information according to external environmental conditions, such as weather and climate information that can directly or indirectly affect each type of construction and process, as described above, and additionally avoid risk according to weather conditions and/or Alternatively, it may further include steps and processes (“Environmental Risk Avoidance Design Step”) in which information on Mitigating Activities for mitigation is presented according to the selected construction type, process, and work place. Alternatively, it can be supported to recognize the dangers of construction site work to be carried out in the near future and to establish countermeasures in advance.

In addition, step S500 according to the present invention, that is, the step of calculating environmental risk evaluation information, corresponds to a construction location such as indoors or outdoors determined in the previous step S300, and the aforementioned general environmental factors may be differently reflected. In other words, in the case of indoor work, the part where there is no risk or decreases due to the influence of rain, etc. can be taken into account, and in the case of outdoor work, the risk weight for the effect of abnormal high temperature or strong wind is given more. Or, general environmental factors can be added or subtracted according to external environmental information about indoor work. In addition, in the case of outdoor work, “work risk criteria” can be set in advance for each type of weather climate (for example, in the case of reinforcement work for outdoor foundations, when the temperature is above 38 →, the criteria for stopping work, etc.) Based on the statistical values of past weather and climate data of the relevant construction site and the corresponding area, the date or number of times that exceeded the “work risk standard” for each type can be calculated.

In addition, the general environmental factors (step S520) according to the present invention are real-time construction accidents and accident causes caused by external environments such as weather conditions occurring at various construction sites at home and abroad in real time through wired/wireless communication networks in addition to past statistical data. It may be collected by reflecting data on damage and damage in real time.

Next, in step S520, as an environmental PI calculation step, the probability of occurrence of a safety accident (P) and an impact intensity (I) of the occurrence of the accident may be calculated by reflecting general environmental factors. Here, the average value of the environmental information is calculated for each section calculated through the past statistical information (it can be calculated in various ways depending on the settings such as unit work type/process, season, etc.), and the average value of the environmental information (temperature, wind speed, precipitation, etc.) By reflecting statistical information related to accident and/or work risk standards, etc. associated with weather and climate for each type of past, PI result data can be generated as a graph or image such as a two-dimensional axis.

Here, the probability of occurrence (P) and intensity of impact (I) are the likelihood of occurrence of a construction accident in the construction site (P) and the intensity of damage (I) that can occur due to external environmental conditions such as weather conditions to evaluate the risk. It means, for example, the probability of accidents, such as construction work, serious accidents by process (personal accidents, etc.) due to the fall of some structures under construction due to strong winds or the collapse of the top of the tower crane, and disasters by work type/process/workplace The amount of loss due to an accident can be expressed numerically and financially.

Hereinafter, the environmental PI calculation step S530 will be described in more detail with reference to FIGS. 3A and 3B.

FIG. 3A is a diagram showing an environmental PI value according to a civil engineering type, that is, an environmental risk value that can affect each detailed process in a two-dimensional graph, and FIG. 3B is an embodiment of the present invention. Is an exemplary diagram of a three-dimensional environmental risk matrix according to.

As shown in Figure 3A, the environmental PI calculation step (S430) according to an embodiment of the present invention is the probability of occurrence of a past disaster accident (P) and a disaster due to external environmental factors such as weather and climate for each detailed process for each type of construction. After each derivation (Fig. 3A(a)) of the impact intensity (I, can be expressed as a monetary value) according to the occurrence of the accident, the detailed environmental PI value that will affect each type of construction and/or process is comprehensively calculated (Fig. 3A (b)) You can. In addition, the environmental PI may be calculated by integrating the total construction types for each construction site (for example, a graph such as Fig. 3A(b) shown for each construction type is generated for each construction type, and a plurality of generated graphs for each construction type are overlapped or combined). So that the environmental PI is calculated according to the total construction type of the construction site, etc.).

In addition, differently (and together), the data of the environmental PI result value described above may be generated as a numerical value such as a 1-10 score scale.

Next, in step S530, a special environmental factor may be matched to the selected process. Here, the special environmental factors are within the selected area/area/area/range where the process is in progress (can be one or more construction sites that evaluate risk) Real-time (As-Is) environmental information (sensors built on the site) It can be weather and climate information such as temperature, precipitation and/or wind speed measured in real time based on the network) and/or the entire construction period or the future for a set period for a set area/zone/area/range ( To-Be) It may include a process of predicting external environmental conditions such as forecasting weather and climate information, and analyzing the impact that may have on detailed work performed according to the construction type/process of the relevant construction site. In other words, unlike general environmental factors based on past statistical data such as weather and climate information, the specific environmental factors (reflecting As-Is and/or To-Be information) in step S530 are measured through sensors and/or networks. And/or the future period (within the set period, for example, the total number of construction works) of the relevant construction site based on current weather and climate information (external environmental conditions) and past and present weather and climate information that can be transmitted. There is a difference that can predict external environmental conditions such as weather and climate information expected during the period, etc., and reflect this in detailed construction types/processes.

At this time, the environmental variables applied to the above-described special environmental factors may be reflected in detail by the tool or area in which the detailed construction work is performed, the altitude of the area, the location, and the narrow space (wind speed by altitude, wind direction or temperature, humidity). Etc., see the above description), the living weather index, the health weather index and/or the industrial weather index provided by the Meteorological Agency may be linked or may be reflected in whole or in part.

In addition, forecasting within a set period of external environmental conditions such as future weather forecasting can be done using Monte Carlo algorithm or random forest method, or CALMAT diagnostic model, UM LSAPS, CWW3, GDAPS, etc. Can be created by

Next, in step S540, the site manager, etc., comprehensively determines external environmental conditions such as past weather and climate information (general environmental factors) and current (and/or future) weather and climate information (special environmental factors) for the construction site It corresponds to the step of evaluating/inputting subjective environmental sensitivity (S, sensory level, significance) for each type of construction/process. That is, in step S540, the environmental experience level (S) for the environmental risk of the construction site itself may be evaluated within a preset grade from the manager.

That is, step S540 according to the present invention is the past (statistical data-based), present (sensor measurement data-based) and/or future (Monte-Carlo) of the corresponding construction site (one or more sites may be targeted) such as weather and climate information. Algorithm prediction data such as simulation) It can be defined as a step that can derive and evaluate potential risks by comparing climate and weather information with each other. In addition, statistical data of external environmental information such as past weather conditions and current real-time sensing data (wind speed installed inside and outside the construction site) according to the corresponding period (period can be set by month, day, time zone, etc.) , Wind direction, temperature sensor, etc.) and the environment according to external environmental information such as weather and climate for the relevant work type/process and detailed detailed tasks (and work location information may also be included) based on future forecasted weather and weather information Risk can be calculated.

In addition, the environmental experience (S) according to the present invention can be classified into a three-score scale of upper, middle, and lower. However, unlike past statistical data (PI value, derived through step S520) that can be objectively quantified and derived, S (Experience, Significance/Sensory Level) input step in consideration of limitations subjectively evaluated by site managers, etc. In step S520, it is preferable to simplify the evaluation index to reduce errors caused by the evaluator's subjective judgment rather than the evaluation index in step S520. For example, the evaluation index in step S520 has a wide evaluation range on a scale such as 1 to 10, whereas in step S540 the evaluation range (interval) is narrowed, such as upper/middle/lower, to narrow the range of options that can be given to each evaluator. It is possible to minimize the possibility of errors due to the viewpoints of each evaluator.

For example, environmental sensibility (S) can be classified only on a three-score scale of upper, middle, and lower, and site managers can evaluate environmental sensibility (S) with a three-score scale of upper, middle, and lower, and environmental PI The PI result value derived in the calculation step (S520) may be added or subtracted and further reflected.

In addition, the environmental sense (S) can be added or subtracted to the PI result value in consideration of the ease of execution of the avoided task and the existence of execution assets, and together (or separately) a three-dimensional matrix based on the PI value and the S value. You can also create

In addition, in step S540, in the evaluation of the environmental sense (S), whether the mitigating activities derived and presented together in the general environmental factor step (S510) were reflected in the actual evaluation target construction site in the risk assessment. The evaluation of the evaluation is also reflected, so that it is possible to support the evaluation of environmental experience (S) by field evaluators. That is, for example, when the atmosphere is stagnant in a situation where indoor work is to be carried out and indoor carbon dioxide or harmful gas cannot be discharged smoothly to the outside, the provision of a separate safety mask or additional input of a ventilator is designed to avoid environmental risks and It is possible to evaluate the environmental experience (s) by reflecting whether or not the avoided task is reflected in the process and work.

In addition, the environmental sensitivity (S) according to the present invention may be additionally reflected by adding or subtracting the PI result value derived in the environmental PI calculation step (S520). For example, the field experience (S) can be added or subtracted to the PI result in consideration of the ease of execution of the avoided task and the possession of execution assets.

Next, step S550 is an environment axis generation step, and an environment risk matrix may be generated. Here, the environmental risk matrix may be generated by showing the probability of occurrence (P), the intensity of influence (I), and the degree of environmental experience (S) in three dimensions. In this environmental risk matrix, a vector value can be calculated as environmental risk evaluation information (see Fig. 3B).

In summary, in step S500, based on the location information of the construction site and the past climate history data, the current climate data of the construction site is sensed to reflect real-time environmental information, and the climate during the construction period (in the future) is predicted (simulated). Based), it is possible to derive the environmental axis (Y-axis) that quantifies the probability of occurrence of risks (including work delay days) for each process and the possibility.

After step S500, a representative seasonal (per section) climate value is set in the general environmental factors, and if the representative value is deviated from the corresponding representative value in the actual process/performance stage, additionally, the environmental experience level (S) and/or environmental risk may be added or decreased. I can.

In addition, the environmental risk matrix for each construction site type or individual process for a specific construction site can be grouped into units of work type or construction site and shown as a three-dimensional risk matrix. This is an example of a three-dimensional matrix. May be the same as in FIG. 3B.

In addition, after step S500, for individual processes (or construction sites, etc.) with a high risk level (or vector value, see Fig. 3B), additional avoidance tasks and resources for execution of avoidance tasks are recommended in consideration of environmental risks. And/or relocation, and monitoring the progress of the avoidance task performed or evaluating the performance.

That is, illustratively, the multidimensional risk matrix according to an embodiment of the present invention illustrated in FIG. 3B shows a state in which a risk value for an environment factor for “earthwork”, which is one of the individual construction types, is calculated. As shown in 3B, the probability of occurrence (P) is 3 points based on 10 points, the impact strength (I) is 4.5 points based on 10 points, and the sense of experience (S) is the “lower” grade of upper/medium/low. It is received, and based on these individual values, a three-dimensional vector value (a risk value calculated according to a preset method such as average, weighted average, or summation) can be generated (3.7 in FIG. 3B).

In addition, when the environmental axis creation step (S550) according to the present invention is evaluated as the existence of external environmental-related risks that directly or indirectly affect a specific type of construction and/or detailed process, a pop-up for notification of specific risk matters ( Pop Up) or an additional icon (Icon) is created together with the “environmental risk notification step”, so that site managers can easily check it. At this time, the above-described “environmental risk notification step” means that the pop-up or icon is displayed at a set position in the 3D inner space of the matrix formed in 3D or located along the axis of the 3D matrix. It can be provided to draw attention and attract attention of managers with prominent colors. In addition, if there are multiple risks, the size of the pop-up window/icon, the number of flashes/intensity, and the display position are different depending on the risk priority set in advance, such as the order of the high probability of occurrence (P) or the largest impact intensity (I). It can be displayed, and it can be greatly expanded or supported to view detailed risk contents in response to a click of a manager or the like.

In addition, the step of calculating environmental risk evaluation information according to the present invention (S500) is a pattern (eg, construction tools, construction area/zones, etc.) in which a plurality of areas that may be included in the work type and/or process performed in one or a plurality of regions are set. After dividing into areas), environmental risks for each divided area can be calculated through the above-described process, and an environmental risk matrix for each divided area may be generated.

In addition, the step of calculating environmental risk assessment information according to the present invention (S500) is, prior to step S100, the condition of the soil or the ground for each divided area, the existence of an existing structure, the presence of underground deposits, the surrounding slope, and the surrounding construction. It may further include a step of separately calculating the divided “regional risk index” in consideration of “risk factors” that may cause disasters such as ground subsidence due to external environments such as abnormal weather conditions. In this case, the step of calculating the “regional risk index” is the step of setting an accident scenario for the divided area, and extracting the “risk factor” for a plurality of areas based on risk assessment due to natural disasters such as strong winds and heavy rain. Step, evaluating the damage risk for the plurality of areas based on the extracted “risk factor” and the set accident scenario, and the “area risk index for the plurality of divided areas based on the evaluated damage risk” You may want to include the step of calculating ".

In addition, the calculation method of PI (probability and impact intensity) and/or S (experience level) mentioned in the step (S500) of calculating environmental risk evaluation information according to the present invention described above, or a matrix generated based on this ) Or the basic frame related to the axis (Y-Axis) and the above description can be equally applied to the following creation of the attractive axis (or matrix) or the process axis (or matrix).

Step S600 is a step for calculating process risk evaluation information by generating a manpower risk matrix to perform risk management and evaluation for the workforce involved in the process.General manpower factor matching step (S610), manpower PI calculation step (S620), manpower It may include a competency evaluation step (S630), a special manpower factor matching step (S640), a manpower experience (S) reflection step (S650), and a manpower axis generation step (S660).

Here, step S600 will be described in detail with further reference to FIG. 4.

4 is a flowchart illustrating a method of generating a human resource risk matrix according to an embodiment of the present invention.

Specifically, in step S610, the general manpower factor may be matched according to the selected work type, process, and work place. Here, the general manpower factor is a statistical method that is put into a predetermined individual process-specific task (site work) by the type of work and process (and/or the selected work place) selected according to the work place divided into indoor or outdoor. It may include information on the attributes of the workforce (workers), the number of manpower required for each task, space required for work, and equipment-linked work.

In addition, the general manpower factor may be set according to a process in which information on standard performance indicators according to job skills by position and competency level is selected.

In addition, the general manpower factor according to the present invention includes “worker abnormal behavior” and/or “workplace normal behavior”, which further subdivides the causes of accidents caused by negligence or negligence of manpower that occurred at the construction work site in advance, and intentional accidents. It can be input by grouping and subdividing in advance.

In addition, the general manpower factor according to the present invention may reflect data generated in the individual manpower evaluation (S632) and/or organizational competency evaluation (S634) steps to be described later. In other words, physical characteristics such as qualifications, careers, training completion, language communication skills, age, gender, etc. of ordinary workers participating in detailed tasks (tasks) of the same/similar construction types/processes in the past corresponding to each construction type/process Statistical data of individual workforces (individual competencies) such as, etc. and/or the average work capability of the unit unit participating in the detailed tasks (tasks) of the same/similar work type/process in the past corresponding to each work type/process, It can reflect average statistical data on organizational competence including organizational experience.

In addition, the general manpower factor (S610) according to the present invention is the occurrence of real-time construction accidents and causes of accidents caused by manpower who participated in construction work, which occurred at various construction sites at home and abroad in real time through wired and wireless communication networks in addition to past statistical data. It may be collected by reflecting data on damage and damage in real time.

In addition, as described above, the general manpower factor step (S610) according to the present invention includes risk information contained by individual field workers and/or work organizations (Unit), and avoidance tasks for avoiding and/or mitigating the corresponding risk (Mitigating Activities) can further include steps and processes (“manpower risk avoidance design stage”) that are presented according to the selected construction type, process, and work place, through which construction site managers need to proceed now or in the near future. It is also possible to support in advance to recognize the risk of manpower's perspective on field work and to establish countermeasures in advance.

Next, step S620 is a manpower PI calculation step, in which the probability of occurrence of a safety accident (P) and an impact intensity (I) of the occurrence of the accident may be calculated by reflecting general manpower factors.

In this step of calculating the manpower PI, it is possible to generate the data of the manpower PI result value in a multidimensional axis such as 2D by reflecting the historical statistics information of the past accidents for each process selected based on the past statistics information and the work manpower information input to the task being performed. . For example, data of the personnel PI result value may be generated on a scale of about 1-10.

In step S620 according to the present invention, a probability (P) of the occurrence of a safety accident caused by a manpower and an impact intensity (I) according to the occurrence of a corresponding accident may be calculated by reflecting the general manpower factor. Here, by section calculated from the past statistical information (it can be calculated in various ways depending on the settings such as unit work type/process, season, etc.) Calculate the average value of the information and the risk of accidents and/or work linked to the data of previous types of workforce information to the risk according to the average value (education level, experience, experience, physical condition, etc.) By reflecting statistical information related to standards, etc., data of PI result values can be generated as graphs or images such as two-dimensional axes.

Here, the probability of occurrence (P) and intensity of impact (I) are statistical data on the occurrence of accidents by individual/organizational personnel for the same or similar construction type/process of the construction site currently being evaluated to evaluate the risk. It can be quantified on the basis of. In other words, based on the criteria set for “worker abnormal behavior” and/or “worker normal behavior”, based on statistical data on the occurrence of gaps due to negligence, intention, etc. of individual/organizational personnel, It can be reflected in the current work type/process and displayed as a matrix, chart, or numerical value within a set range (the probability of a disaster occurrence due to abnormal behavior of the worker, and the intensity of the impact such as loss).

Hereinafter, the manpower PI calculation step (S620) will be described in more detail with reference to FIGS. 4A and 4B.

FIG. 4A is a two-dimensional graph showing the manpower PI value according to the channel tunnel work type, that is, the manpower risk value that can affect each detailed process of the channel tunnel process according to an embodiment of the present invention, and FIG. 4B is It is an exemplary diagram of a three-dimensional personnel risk matrix according to an embodiment of the present invention.

As shown in Fig. 4A, the manpower PI calculation step (S620) according to an embodiment of the present invention is based on statistical data on individual and/or organizational manpower for individual detailed processes for each type of work, that is, detailed tasks (tasks). Individual human resources participating in the event and/or individual human resources are composed of units, and the probability of occurrence of past accidents (P) and the intensity of impacts (I, as a monetary value) of the accidents After deriving each of the displayable) (FIG. 4A(a)), detailed manpower PI values that have an effect on each type of work and/or process can be comprehensively calculated (FIG. 4A(b)). In addition, the manpower PI may be calculated by integrating the entire work type for each construction site (for example, a graph as shown in Fig. 4A(b) shown for each work type is generated for each work type, and a plurality of generated graphs for each work type are overlapped or combined). So that the environmental PI is calculated according to the total construction type of the construction site, etc.).

In addition, unlike this (and together), the data of the human PI result value described above may be generated as a numerical value such as a 1-10 score scale.

Next, step S630 is a manpower competency evaluation step in which the competency of manpower is evaluated and a competency index is calculated.The individual competency evaluation step (S632) in which an individual competency is evaluated and an individual competency index is calculated, and the organizational competency index is evaluated. It may include a calculated organizational competency evaluation step (S634).

In addition, S630 of the present invention can classify and generate historical statistical data for individuals/organizational personnel who have participated in detailed tasks (tasks) for the same or similar work type/process in the past according to the types as described in “Table 1” to be described later. I can.

In addition, S630 of the present invention is actually input (As-Is) for each construction type/process of an individual construction site subject to evaluation, but the site construction manpower (individual) to be input (To-Be) and these construction personnel are collected and input. It may further include the step of comprehensively evaluating the competencies for the set of organizational units.

In step S632, the personal competency index may be calculated using the body competency index (A-axis) and the work competency index (B-axis). At this time, in step S632, as shown in "Table 1" below, a personal competency index is calculated that reflects not only the general personal information of the worker, such as medical biological age and stress sensitivity, but also the special personal information that may affect the work. Can perform competency evaluation for

A-axis check item B-axis check item gender Educational History Medical examination body age (medical body age) Career Stress sensitivity Communication ability Identify extrovert/introvert Presence of related certification Height/weight/vision, etc. Communication and language communication skills (foreigners, etc.) Blood pressure/blood sugar/color blindness, etc. Position classification (weighted value reflected) Smoking Recent years of service Presence of specific disease -

Step S634 is the process of calculating the unit competency index for each process.Each individual person participating in the process, such as whether the number of personnel input to the process is appropriate, whether it should be performed as a team-specific task, and whether special qualification requirements related to the process are required. It is possible to calculate a more practical index by reflecting the index of for the correlation analysis point of view.

This step S634 is the step of inputting and/or calculating the input manpower as shown in FIG. 5 (S634-1), the step of obtaining the arithmetic mean value of the capability index for the input manpower (S634-3), and the process itself In order to reflect the issue, it may include a step of reflecting a process environment factor (S634-5), and a step of calculating an organizational competency index (S634-7).

For example, in step S634-3, the average value of the individual competency index is obtained, and in step S634-5, whether the number of personnel input is appropriate (eg, under/excessive), whether each team is working (eg, a group of 2 people), process-related Issues related to the process's own manpower, such as whether or not special qualification requirements, can be reflected.

Next, in step S640, the special manpower factor may be matched to the selected process. Here, the special manpower factor is based on the result of competency evaluation for individual manpower and organization, and the possibility of occurrence of risk of condition according to the work environment or workload, working time, physical condition, environment in the construction process in which the individual manpower and/or organization is deployed. Items that require individual consideration for individual personnel participating in such unit processes, that is, individual factors that can be ignored in the statisticalized organizational competency evaluation may be additionally reviewed or information that needs to be considered may be included.

These special manpower factors may additionally be set to calculate the risk of the movement of construction equipment such as a dump truck, the area overlapping with the work area (eg, movement of equipment, work movement and real-time work of field workers). To this end, the construction equipment that is put into the construction site to perform work or movement, or to be performed may include a sensor network that can individually monitor whether it is operating, moving direction, and movement lines in the work site in real time.

In addition, the special manpower factor in the special manpower factor step (S640) according to the present invention is the information on the field worker (individual) that is actually input (or will be) according to the selected work type and process, and the detailed process (task) It refers to the conditions of personnel for each unit, and as described above, it can be categorized and grouped based on a classification system such as “Table 1”. That is, the special manpower factor step (S640) according to the present invention is a site individual worker and/or unit organization that is actually input (As-Is) to the corresponding construction site (or to be put in according to a set process sequence in the future (Sa To-be)) Individual competency evaluation can be conducted.

In addition, in the special manpower factor step (S640), actual data on the individual history of various construction equipments input to the actual construction site and the pre-elements related to installation that must be prepared in advance for the set work progress are input by the site manager, or the like, It may include receiving, input, management, and storing through various sensors installed in individual equipment.

In other words, the special manpower factor (reflecting As-Is information) according to the present invention is a disaster that occurred due to intention, negligence, carelessness, etc. of manpower (individuals/organizations) that were put in according to the type of work/process based on past statistical data. Unlike general process factors that generate risk by manpower based on information, actual information such as physical condition and experience of construction workers actually put into the construction site (refer to “Table 1” for detailed classification criteria) is collected. There are differences that can be reflected and quantified.

In addition, the special manpower factor step (S640) according to the present invention is the average experience and career, accident history, age, etc. of the individual workers generally input according to the type of work/process/workplace identified through the individual manpower factor step (S632). It is also possible to create a separate “personnel comparison index” by comparing the information on physical conditions and physical conditions such as the average experience and career, accident history, and age of individual personnel who are actually put into the field and evaluate them through relative comparison. These “personnel comparison indicators” are presented as numerical values in the S (Experience Level) input step (S650), which will be described below, so that the site manager, etc. It can be used to add or subtract. For example, by comparing the physical level or education level of the actual site worker (or to be in the future) of the actual site worker (refer to “Table 1” for detailed indicators) compared to the field worker who is normally input, the worker who is put into the relevant construction site If the physical competency (age, strength condition, etc.), experience, qualification level, etc. are superior, a relatively higher grade is given to the “manpower comparison index” created in the special manpower factor step (S640). By allowing the rating to be presented in the S (Experience Level) input step (S650), the site manager or the like will support the evaluation by further mitigating the possibility of risk occurrence in the Experience Level input step. These “personnel comparison indicators” can be expressed in scale units such as 1-10. Therefore, if a construction worker with excellent physical, educational, and psychological capabilities compared to a field worker who is normally put into the same/similar construction/process is introduced, the execution of mitigating activities that can be derived in step S610 It can be used as one of.

In addition, the special manpower factor step (S640) reflects the relationship between the risk of manpower within the set area/zone/area/range (physical condition of the field worker inputted to the process, etc.) and external environmental conditions. Risks are calculated for each area/area/range, but can be used to calculate real-time and/or predicted risks for each manpower by reflecting information on current and/or future external environmental conditions. To this end, the average value of accident occurrences (based on past data) and the actual evaluation target according to the evaluation results (grade, number, etc.) of the individual/organizational personnel that are normally input for each type/process evaluated in the organizational competency evaluation step (S634). The probability of occurrence according to the evaluation result between field workers inputted to the construction site (based on data transmitted and input through the sensor network attached to the protective equipment such as the helmet of the worker currently working on the site) is compared and ”Can be created additionally. These “manpower comparison indicators” are linked to virtual sensors installed in the construction site, so that individual/organizational risk potential judgment or evaluation can be performed according to the external weather environment (wind speed, wind direction, outside temperature, humidity, rainfall, etc.). have. In addition, accidents such as contact between construction equipment and workers in consideration of external work constraints due to external environmental conditions such as individual/organizational placement and movement of site workers, abnormal high temperatures, strong winds, etc., or the range of movement or movement of construction equipment within the site. Prediction information on occurrence is generated as an index for comparison (past-present-future) by additionally generating, and such an index may be considered in the S (experience level) input step S650.

In step S650, the risk of manpower itself can be subjectively evaluated by the manager at the present time. That is, in step S650, the manpower experience degree (S) for the manpower risk of input input from the manager may be evaluated within a preset grade. For example, the level of personnel experience (S) may be classified into a three-score scale of upper, middle, and lower.

This manpower experience (S) may be additionally reflected by adding or subtracting the PI result value derived in the manpower PI calculation step (S620). For example, the manpower experience (S) can be added or subtracted to the PI result in consideration of the ease of execution of the avoided task and the possession of execution assets.

In addition, step S650 according to an embodiment of the present invention includes presetting a unit area, area, area, tool, or site in which each process is performed, and including image monitoring (CCTV, etc.), motion sensor, etc. A monitoring step for the movement of construction equipment and/or field workers put into the construction site in real time through the network may also be included. That is, the above-described “worker abnormal behavior”, that is, behaviors that do not meet the preset criteria, for example, when the operator (object) deviates from a predetermined coordinate (coordinate of the upper area of the facility) on the image, the crane (object) When entering a predetermined coordinate (the coordinates of the virtual Pence area) on the image, the act of working alone in a group of 2 people, the act of entering a danger zone without prior permission, the act of entering a dangerous area, and a co-worker in detailed work involving multiple workers It may further include a step of real-time monitoring an abnormal situation such as an action that is out of sight of the person, and notifying a set manager or the like (“abnormal situation notification”).

Next, step S660 is a step of creating a manpower axis, and may generate a manpower risk matrix. Here, the manpower risk matrix may be generated by showing the probability of occurrence (P), the intensity of influence (I), and the degree of manpower experience (S) in three dimensions. In this workforce risk matrix, a vector value can be calculated as workforce risk evaluation information (see FIG. 4B).

That is, illustratively, the multidimensional risk matrix according to an embodiment of the present invention illustrated in FIG. 4B shows a state in which the risk value of the worker factor for the “waterway tunnel” construction type is calculated, as shown in FIG. 4B. Likewise, the probability of occurrence (P) was 2.5 points based on 10 points, the impact strength (I) was 8 points based on 10 points, and the sense of experience (S) received the “high” grade of high/medium/load. These individual values A three-dimensional vector value (a risk value calculated according to a preset method such as an average, a weighted average, or a summation) can be generated (7.5 in FIG. 4B) based on.

In summary, in step S600, based on the statistical information (past statistical data) of general personnel and organizations that have been put into individual unit processes or performance units, It is possible to derive a manpower axis (Z-axis) that can predict and diagnose the occurrence of risks in the present or in the future through the evaluation of appropriateness and the evaluation results of the individual manpower currently employed. In addition, the manpower risk matrix for individual processes can be grouped in units of construction type or construction site and shown as a three-dimensional risk matrix.

In addition, the manpower risk matrix for each construction site type or individual process for one specific construction site can be grouped into units of work type or construction site and shown as a three-dimensional risk matrix. This is an example of a three-dimensional matrix. May be the same as in FIG. 4B.

In addition, after step S600, for individual processes (or construction sites, etc.) with a high risk level (or vector value, see Fig. 4B), additional avoidance tasks and resources for execution of avoidance tasks are recommended in consideration of human risk. And/or relocation, and monitoring the progress of the avoidance task performed or evaluating the performance.

In addition, the manpower shaft generation step (S660) according to the present invention will be evaluated as the existence of a manpower-related risk (refer to the detailed indicators of “Table 1”) that directly or indirectly affects a specific type of work and/or detailed process. In this case, it may further include a “personnel risk notification step” in which a pop-up for notification of specific risk matters or a separate additional icon is generated, so that site managers can easily check it. have. At this time, in the above-described “personnel risk notification step”, the pop-up or icon is displayed at a set position in the 3D inner space of the matrix formed in 3D or located along the axis of the 3D matrix. It can be provided to draw attention and attract attention of managers with prominent colors. In addition, if there are multiple risks, the size of the pop-up window/icon, the number of flashes/intensity, and the display position are different depending on the risk priority set in advance, such as the order of the high probability of occurrence (P) or the largest impact intensity (I). It can be displayed, and it can be greatly expanded or supported to view detailed risk contents in response to a click of a manager or the like.

In addition, the step of calculating the personnel risk assessment information according to the present invention (S600) is a pattern (for example, a construction tool, a construction area/zone, etc.) that sets a plurality of areas that may be included in a work type and/or process conducted in one or a plurality of regions. After dividing into areas), each manpower risk for each divided area can be calculated through the above-described process, and a manpower risk matrix for each divided area may be generated.

In addition, the calculation method of PI (probability and impact intensity) and/or S (experience level) mentioned in the step (S600) of calculating the personnel risk assessment information according to the present invention described above, or a matrix generated based on this ) Or the basic frame related to the axis (Y-Axis) and the above description can be applied equally to the creation of the process axis (or matrix) or the environment axis (or matrix).

After this step S600, it is possible to perform follow-up management such as relief in case of an accident through monitoring of individual personnel participating in the performance task through the calculation of personnel risk assessment information.

Hereinafter, with reference to FIGS. 6 and 7, a multidimensional risk matrix generation (S1000) according to another exemplary embodiment and a matrix according thereto will be described.

6 and 7 are diagrams showing a multidimensional risk matrix according to another embodiment of the present invention.

As shown in FIG. 6, in step S1000, the multidimensional risk matrix according to the present invention combines all or part of the above-described process (X-axis), environment (Y-axis) and/or manpower (Z-axis) (for example, X It may be generated by summing or calculating an average value of the axis and Y axis values. That is, after calculating all of the aforementioned process, environment, and/or personnel risks (or numerical values and vector values on an axis), it may be regenerated as a three-dimensional matrix.

In addition, step S1000, which is the step of generating a multidimensional risk matrix according to the present invention, directly quantifies the risk value for each process, environment and/or manpower without a separate step S460, S550 and/or S660 after S450, S540 and/or S650 described above. A 3D matrix or a multidimensional graph can be created, and a risk matrix or risk value linked to “process-personnel”, “process-environment”, and “personnel-environment” can also be generated by numerically.

That is, the multidimensional risk matrix according to the present invention, as shown in Fig. 6, is formed by axes divided into processes (Activity), personnel (Worker), and environment (Environment), and each axis (Axis) Corresponding values can be formed and provided as a multidimensional risk matrix that can be visually confirmed individually or comprehensively depending on individual construction types, individual processes, individual sites, or multiple aggregate sites. At this time, in the case of numerical values corresponding to each axis, it is derived by the steps of generating risk values for each process, manpower, and/or environment described above, and each derived risk value is reflected again (each preset risk value is averaged). , Weighted average, summation, etc.).

In addition, as shown in FIG. 7, for a comprehensive and relative risk comparison determination for multiple construction sites (or tools) scattered in a plurality, one matrix includes risks for two or more construction sites (Site A to Site D). Analysis results can also be displayed at once (for example, it can be used to evaluate the relative risk of multiple construction site sites where one construction company currently performs construction work).

In addition, support for comprehensive risk assessment by assigning an average of the risk result values of multiple construction sites or a weight set in consideration of project cost or importance of the project (for example, multiple construction companies performed by multiple construction companies in the central government or local governments). It is possible to evaluate and judge all or individual risks on the site in real time.

In addition, the method for generating a multidimensional risk matrix according to an embodiment of the present invention creates a multidimensional risk matrix that supports linkage of comprehensive risk judgment, evaluation and follow-up support in terms of process, environment, and manpower based on past statistical data. can do.

In addition, the method of generating a multidimensional risk matrix according to an embodiment of the present invention can independently analyze and calculate risks to processes, environments, and manpower that may have a major impact on construction work, thereby calculating actual risks of the corresponding process. .

In addition, the method for generating a multidimensional risk matrix according to an exemplary embodiment of the present invention can increase practical utilization by reflecting a manager's experience evaluation.

In addition, the method of generating a multidimensional risk matrix according to an exemplary embodiment of the present invention may reflect special factors to additionally review individual factors that may be ignored in general factors to be statistical.

Meanwhile, in the method for generating a multidimensional risk matrix according to an embodiment of the present invention, steps S400, S500, and S600 may be selectively performed regardless of the description order.

In addition, in another embodiment of the present invention, after performing the above-described steps S100 to S3001, any one of steps S400, S500, and S600 may be performed to generate a multidimensional risk matrix of one of process, environment, and manpower.

In addition, in another embodiment of the present invention, a multidimensional risk matrix generated through a method of generating a multidimensional risk matrix may be provided.

The above description of the present invention is for illustrative purposes only, and those of ordinary skill in the art to which the present invention pertains will be able to understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims to be described later, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention.

Claims (19)

In a multi-dimensional risk matrix for carrying out comprehensive risk management and evaluation on the construction process, external environment and process participants,
Equipment factor evaluation step that evaluates equipment factors by reflecting information on equipment input to the process according to the selection of construction type, process, and work place in which the process is performed, and process by reflecting the equipment factors and previously collected general process factors A process PI calculation step that calculates the probability of occurrence of a safety accident by each step (P) and the impact intensity (I) of the accident, and a process experience that reflects the special process factors previously collected in the PI result value of the process PI calculation step ( Calculating process risk evaluation information through a process experience (S) reflecting step that additionally reflects S);
An environmental PI calculation step that calculates the probability of occurrence of a safety accident (P) and the intensity of impact (I) of the occurrence of an accident by reflecting the general environmental factors previously collected according to the selection of the type of work, process, and work place where the process is performed. And calculating environmental risk evaluation information through the environmental experience level (S) reflecting step of additionally reflecting the environment experience level (S) reflecting the special environmental factors previously collected in the PI result value of the environment PI calculation step; And
Manpower PI calculation step that calculates the probability of occurrence of a safety accident (P) and the intensity of impact (I) of the occurrence of a safety accident by reflecting the general manpower factors previously collected according to the selection of the type of work, process and work place where the process is performed , A manpower competency evaluation step that evaluates the capabilities of manpower input to the process to calculate a capability index, and the manpower experience in which the capability index and the previously collected special manpower factors are reflected in the PI result value of the environmental PI calculation step (S It is generated according to the execution of the step of calculating the manpower risk assessment information through the step of reflecting the manpower experience (S) reflecting additionally,
A multidimensional risk matrix, characterized in that the process risk evaluation information, the environmental risk evaluation information, and the personnel risk evaluation information are image data generated in any one of a multidimensional graph, coordinates, and chart.
The method of claim 1,
The facility factor evaluation step,
An individual facility factor evaluation step of evaluating individual facility factors by reflecting information on individual facilities input to the process; And
Including an aggregate facility factor evaluation step of evaluating the aggregate facility factor by comprehensively reflecting information on the collective facility consisting of a plurality of facilities,
The individual facility factor evaluation step,
Based on statistical data related to construction site accidents caused by the operation of various construction equipment in the past, it includes at least one of the type and frequency of construction equipment accidents, the number and cumulative number of equipment accidents per set period, standard service life, and durability for each major component. The information on incidents and accidents occurring by individual construction equipment at the construction site under construction and related risk information is transmitted from its own database or externally and reflected in the evaluation of individual equipment personnel,
The assembly facility factor evaluation step,
Based on statistical data related to construction site accidents caused by the operation of various construction equipments in the past, accidents occurring due to contact, collision, and fall accidents between construction equipment in the site are categorized by accident and accident information, and the risk information according to this is classified into its own database or A multidimensional risk matrix, characterized in that it is transmitted from the outside and reflected in the evaluation of collective facility factors.
The method of claim 1,
The general process factors are:
Including the self-property information of the performance task for each process, past accident history, accident statistics information for each type and process, collected according to the work type, the process, and the work place classified as indoor or outdoor, and for each type and process The risk information contained, and information on the avoidance task for risk avoidance and/or mitigation are set according to the selected type of work, process and work place,
The above special process factors are:
The selected construction type and process includes the equipment risk of the corresponding construction type and process calculated by reflecting the external environmental conditions and the equipment factors, and reflects the relationship between the process risk in the set area and the external environmental conditions. A multidimensional risk matrix, characterized by collecting and reflecting actual information including maintenance status, ground status of the current construction site, surface status, slope of the site, and surrounding conditions.
The method of claim 1,
In the process PI calculation step,
By reflecting the past accident statistical information for each process selected based on the past statistical information and external environmental condition information, the PI result value data is generated as a two-dimensional axis,
In the step of reflecting the process experience (S),
The process experience level (S) for the risk of the individual process itself is evaluated by the manager within a preset level, and the PI result value and the process experience level (S) are shown in three dimensions to create a process risk matrix. A multidimensional risk matrix, characterized in that the vector value of the process risk matrix is calculated from the process risk evaluation information.
The method of claim 1,
The step of calculating the process risk evaluation information,
Before the process PI calculation step,
Including a process risk avoidance design step in which risk information contained by individual field workers and/or work organizations, and information on avoidance tasks for the risk avoidance and/or mitigation are presented according to the selected construction type, process, and work place. Characterized in that, a multidimensional risk matrix.
The method of claim 1,
In the step of calculating the process risk evaluation information,
The average number of years of use of individual construction equipment input according to the type of construction, process, and work place identified through the reflection of individual facility factors, safety inspection period, information on safety status, and average number of years of use of individual construction equipment that are actually put into the site, safety Compare inspection cycles and safety conditions relatively to create equipment comparison indicators,
The facility comparison index is presented as a numerical value in the step of reflecting the process experience (S), and is used by the site manager to increase or decrease the risk of accidents for the construction equipment actually inputted, or the risk for the entire construction and process, Multidimensional risk matrix.
The method of claim 1,
The step of calculating the process risk evaluation information,
If it is evaluated that a risk accompanying a specific type of construction and/or detailed process exists, a pop-up for notification of a specific risk matter or a process risk notification step in which a separate additional icon is generated together,
In the process risk notification step,
A pop-up or icon is displayed at a set position in the multidimensional interior space of the multidimensional matrix or is located along the axis of the multidimensional matrix, and is displayed in at least one of blinking and set colors to draw the attention of the manager and attract attention. , A multidimensional risk matrix.
The method of claim 1,
The step of calculating the process risk evaluation information,
Prior to the selection of the construction type, there is a risk that at least one of the conditions of the soil or the ground, the existence of existing structures, the presence of underground deposits, the surrounding slope, and the surrounding construction environment may be caused by an external environment. Further comprising the step of separately calculating the divided area risk index in consideration of the factors,
The step of calculating the local risk index,
Setting an accident scenario for the divided area;
Extracting risk factors for a plurality of areas based on risk assessment due to natural disasters such as strong winds and heavy rain;
Evaluating the risk of damage to the plurality of areas based on the extracted risk factors and the set accident scenario; And
And calculating an area risk index for the plurality of divided areas based on the evaluated damage risk level.
The method of claim 1,
The general environmental factors above are:
Includes environmental information including at least one of the construction type, the process, and geographic information of the construction site collected according to the work place, season, temperature, precipitation, and wind speed, and correlation with the selected construction type and environmental variables for each process , And environmental variables having a high environmental risk for at least one of work and air are set based on past statistical data,
The above special environmental factors are:
The real-time environmental information of the selected area where the process is being performed includes an environmental variable that affects the current performance task, and the environmental variable includes at least one of the altitude, location, and broadband of the area where the performance task is performed, and is differentiated in detail. A multidimensional risk matrix, characterized by being reflected.
The method of claim 1,
In the environmental PI calculation step,
Calculate the average value of the environmental information for each section calculated through the past statistical information, reflect the historical accident statistics information to the risk according to the average value of the corresponding environmental information, and generate the data of the PI result value as a two-dimensional axis,
In the step of reflecting the environmental experience (S),
The environmental risk (S) for the environmental risk of the construction site itself is evaluated by the manager within a preset grade, and the PI result value and the environmental experience (S) are shown in three dimensions to create an environmental risk matrix, A multidimensional risk matrix, characterized in that the vector value of the environmental risk matrix is calculated as the environmental risk evaluation information.
The method of claim 1,
The step of calculating the environmental risk evaluation information,
Before the environmental PI calculation step,
In response to risk information from external environmental conditions that directly or indirectly affect each type of construction and process, additionally, information on risk avoidance and/or avoidance tasks for mitigation according to weather conditions is selected for the construction type, process, and workplace The multidimensional risk matrix, characterized in that it further comprises an environmental risk avoidance design step presented according to.
The method of claim 1,
The step of calculating the environmental risk evaluation information,
If it is evaluated that there is an external environmental risk that directly or indirectly affects a specific type of construction and/or detailed process, a pop-up for notification of the specific risk or an environmental risk notification step is additionally created. Include,
In the environmental risk notification step,
A pop-up or icon is displayed at a set position in the multidimensional interior space of the multidimensional matrix or is located along the axis of the multidimensional matrix, and is displayed in at least one of blinking and set colors to draw the attention of the manager and attract attention. , A multidimensional risk matrix.
The method of claim 1,
The step of calculating the environmental risk evaluation information,
Prior to the selection of the construction type, there is a risk that at least one of the conditions of the soil or the ground, the existence of existing structures, the presence of underground deposits, the surrounding slope, and the surrounding construction environment may be caused by an external environment. Further comprising the step of separately calculating the divided area risk index in consideration of the factors,
The step of calculating the local risk index,
Setting an accident scenario for the divided area;
Extracting risk factors for a plurality of areas based on risk assessment due to natural disasters such as strong winds and heavy rain;
Evaluating the risk of damage to the plurality of areas based on the extracted risk factors and the set accident scenario; And
And calculating an area risk index for the plurality of divided areas based on the evaluated damage risk level.
The method of claim 1,
The above general manpower factors are:
Depending on the type of work and the type of process selected according to the work place divided into indoor or outdoor, the properties of statistical workforces inputted to the performance tasks for each pre-determined individual process, the number of people required for each task, space required for work, and equipment It includes information on at least one of the linked tasks, and information on standard performance indicators according to job skills by position and competency level is set according to the selected process,
The above special manpower factors are:
Based on the evaluation result of the manpower competency evaluation step, the unit including at least one of the work environment or workload, working hours, physical condition, and the possibility of occurrence of a state risk according to the environment in the construction process in which individual personnel and/or organizations are arranged. A multidimensional risk matrix, characterized in that it contains information that requires individual consideration of individual personnel participating in the process.
The method of claim 1,
In the step of calculating the manpower PI,
The PI result value data is generated as a two-dimensional axis by reflecting past accident statistics information for each process selected based on the past statistical information and the information on the workforce inputted to the task being performed,
In the step of reflecting the manpower experience (S),
The manpower experience level (S) for the risk of the manpower itself is evaluated by the manager within a preset level, and the PI result value and the manpower experience level (S) are shown in three dimensions to create a manpower risk matrix, and the manpower A multidimensional risk matrix, characterized in that the vector value of the risk matrix is calculated as the personnel risk evaluation information.
The method of claim 1,
The step of evaluating manpower competency,
An individual competency evaluation step of evaluating individual competency and calculating an individual competency index; And an organizational competency evaluation step of evaluating the organizational competency and calculating the organizational competency index,
In the personal competency evaluation step, calculating the personal competency index reflecting at least one of the individual's general personal information and special personal information by using the body competency index and the work competency index,
The organizational competency evaluation step,
Inputting and/or calculating an input input;
Obtaining an arithmetic mean value of the competency index for the input manpower;
Reflecting process environment factors in order to reflect issues on the process's own manpower; And
It characterized in that it comprises the step of calculating the organizational competency index, multi-dimensional risk matrix.
The method of claim 1,
The step of calculating the personnel risk assessment information,
Before the above manpower PI calculation step,
Further comprising a personnel risk avoidance design step in which risk information contained by individual field workers and/or work organizations, and information on avoidance tasks for the risk avoidance and/or mitigation are presented according to the selected construction type, process, and work place. Characterized in that, a multidimensional risk matrix.
The method of claim 1,
In the step of calculating the personnel risk assessment information,
Information on the average experience and career, accident history, and physical condition of individual personnel input according to the type of work, process, and workplace identified through the reflection of individual manpower factors, and the average experience and career, and accidents of individual personnel input to the actual site Compare history and physical condition relatively to create a manpower comparison index,
The manpower comparison index is presented as a numerical value in the step of reflecting the manpower experience (S), and is used by the site manager to add or decrease the possibility of an accident risk, the total type of work, and the risk for the process, Multidimensional risk matrix.
The method of claim 1,
The step of calculating the personnel risk assessment information,
If it is assessed that there is a risk related to personnel that directly or indirectly affects a specific type of construction and/or detailed process, a pop-up for notification of a specific risk or a separate additional icon is generated together with an environmental risk notification step. Include,
In the personnel risk notification step,
A pop-up or icon is displayed at a set position in the multidimensional interior space of the multidimensional matrix or is located along the axis of the multidimensional matrix, and is displayed in at least one of blinking and set colors to draw the attention of the manager and attract attention. , A multidimensional risk matrix.

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