Digital twin-based risk checking method using risk management system

Abstract

The present technology relates to a risk checking method capable of performing continuous management based on a digital twin, after identifying a risk factor of a worker with respect to one or more work areas and establishing and implementing a reduction measure therefor. More specifically, the risk checking method comprises the step of: 1) identifying, by a management server, safety information that is a harmful factor and a risk factor for a worker in a work area; 2) determining a risk for the safety information through periodic risk assessment to obtain numerical risk value information for each step; 3) establishing and implementing a reduction measure on the basis of the result of the risk determination; and 4) outputting, for each object of the digital twin and in color, the risk level after the risk reduction measure.

Description

Risk identification method using a risk management system based on digital twins

[0001] This technology relates to a risk identification method that identifies worker risk factors for one or more work areas, establishes and implements reduction measures, and then executes continuous management based on digital twins.

[0002] As industrial technology advances and industrial structures become more complex and diverse, the causes of industrial accidents are also diversifying.

[0003] Industrial accidents not only affect the health of individual workers, but also affect the livelihood of their families by temporarily or permanently losing their ability to work, and also cause economic losses to companies.

[0004] Such loss of life and property acts as an obstacle to enhancing national competitiveness.

[0005] Industrial accident prevention can contribute to economic development by ensuring worker health and a productive workforce.

[0006] In order to prevent industrial accidents, the Korea Occupational Safety and Health Agency has been conducting various studies, such as industrial safety and health status surveys and work environment surveys, to identify the causes of industrial accidents from complex individual and industrial structures.

[0007] The causes of industrial accidents are broadly divided into direct causes, such as workers' unsafe behavior and imperfect conditions, and indirect causes, such as physical / chemical factors.

[0008] Despite significant improvements in physical and chemical hazards, industrial accidents continue to occur, demonstrating that not only the physical and chemical work environment but also social and psychological risk factors that affect individual workers can play a role.

[0009] For example, the Act on the Punishment of Serious Accidents, etc. has been enacted and is being implemented to prevent serious accidents and protect the lives and bodies of citizens and workers by stipulating punishment for business owners and managers who cause casualties by violating safety and health measures while handling products harmful to the human body in the workplace. However, efforts are urgently needed to inform workers of the risks of such workplaces or make them aware of them repeatedly so that workers themselves become aware and create a safe working environment.

[0010] In order to solve the above-described conventional problems, the present invention aims to provide a method for confirming risks using a management system that allows workers to recognize dangerous facilities and dangerous processes by marking them with colors or other marks according to the risk level of the facilities and work based on the results of a risk assessment of facilities and processes in a workplace, and to confirm them through alarms or other means when a dangerous situation occurs.

[0011] As a means of solving the problem of solving the conventional problems described above, the method for confirming risks using a risk management system based on a digital twin according to the present invention is characterized by including 1) a step of identifying safety information, which is a hazardous factor and a risk factor for workers in a work target area, through a management server, 2) a step of periodically determining the risk of safety information through a risk assessment and obtaining risk numerical information for each stage, 3) a step of establishing and taking action on a risk determination result, and 4) a step of outputting the risk level after the risk reduction measure in color for each target on a digital twin.

[0012] In addition, in the step 2), the step-by-step risk numerical information is obtained based on the risk level obtained by calculating the risk possibility and risk severity of the work target area through the four arithmetic operations. It is preferable that the obtained risk numerical information be output in the following way: light green if it is 1 to 3 in the step 4), green if it is 4 to 6, yellow if it is 7 to 8, orange if it is 9 to 12, pink if it is 13 to 15, and red if it is 16 to 20.

[0013] In addition, it is desirable that the risk assessment in step 2) above collects data provided by at least one camera, production facility, or sensor installed in the work target area and builds a risk detection AI model for each risk target in the management server.

[0014] In addition, the above management server can display emergency information on the digital twin so that it can be confirmed when a risk is detected in the work area through the established risk detection AI modeling. It is preferable that the emergency information be displayed as an alarm or a flashing color.

[0015] In addition, in the above step 4), it is desirable to provide a digital twin output stage that manages the evaluation results and reduction measures provided by the management server and monitors the progress of risk management.

[0016] According to the present invention, unlike the conventional method, the results of the risk assessment for the facilities and processes of the workplace are displayed on a monitor in a virtual world using a digital twin according to the level of risk of the facilities and work, thereby allowing workers to recognize the dangerous facilities and processes, and when a dangerous situation occurs, the results can be confirmed through an alarm, etc.

[0017] Figure 1 is a flowchart of a risk identification method using a risk management system based on a digital twin according to the present invention.

[0018] Figure 2 is a diagram illustrating a classification table classifying hazardous risk factors in the work target area of ​​Figure 1.

[0019] The best embodiment of the present invention comprises: 1) a step of identifying safety information, which is a hazardous factor and a risk factor for workers in a work area, through a management server; 2) a step of periodically determining the risk of safety information through a risk assessment and obtaining risk numerical information for each stage; 3) a step of establishing and taking action on a risk reduction measure based on the risk determination result; and 4) a step of outputting the risk level after the risk reduction measure in color for each target on a digital twin.

[0020] Hereinafter, various embodiments will be described in more detail with reference to the accompanying drawings. The embodiments described herein may be modified in various ways. Specific embodiments may be depicted in the drawings and further described in the detailed description. However, the specific embodiments disclosed in the accompanying drawings are merely intended to facilitate understanding of various embodiments. Therefore, the technical concepts disclosed in the accompanying drawings are not intended to be limited by the specific embodiments disclosed in the accompanying drawings, but should be understood to include all equivalents or alternatives falling within the spirit and technical scope of the invention.

[0021] Terms that include ordinal numbers, such as "first," "second," etc., may be used to describe various components, but these components are not limited by the aforementioned terms. The aforementioned terms are used solely to distinguish one component from another.

[0022] In this specification, it should be understood that terms such as "comprise" or "have" are intended to specify the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but do not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof. When a component is referred to as being "connected" or "connected" to another component, it should be understood that it may be directly connected or connected to the other component, but that other components may also be present in between. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there are no other components present in between.

[0023] In addition, when describing the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof is abbreviated or omitted.

[0024] Hereinafter, with reference to the attached drawings, a method for confirming risks using a risk management system based on a digital twin according to the present invention (hereinafter, simply referred to as the “confirmation method”) will be described in detail.

[0025] Before the explanation, the management server (not shown) described below refers to a control terminal that allows an administrator to monitor and control work equipment, etc. in a work target area. In order to clearly understand the gist of the present invention, a detailed explanation will be omitted.

[0026] First, as illustrated in FIG. 1, the verification method (1) according to the present invention largely includes 1) a step of identifying safety information, which is a hazardous factor and a risk factor for workers in a work area (S10), 2) a step of periodically determining the risk of safety information through a risk assessment (S20), 3) a step of establishing and taking action on a risk reduction measure based on the risk determination result (S30), and 4) a step of outputting the risk level after the risk reduction measure in color for each target on a digital twin (S40).

[0027] To explain in more detail, in order to execute step 1), the management server identifies safety information indicating hazardous and risky factors that threaten the safety of workers for each work target area where different work equipment (e.g., automated robots, injection machines, presses, etc.) exists.

[0028] As shown in Fig. 2, safety information in the present invention can be classified into a total of six factors depending on the work equipment and stored as data information in the management server. The six factors are classified into mechanical factors, electrical factors, chemical factors, biological factors, work characteristic factors, and work environment factors and stored / managed in the management server.

[0029] Here, mechanical factors refer to factors such as entrapment (or entanglement), hazardous surfaces, collisions, trips and falls; electrical factors refer to factors such as electric shock, arc burns, static electricity, electrical fires or explosions; chemical factors refer to factors such as gas leaks, steam leaks, fumes, liquids / mists, and radiation; biological factors refer to microorganisms, viruses, and genetically modified substances that are harmful to the human body; work characteristic factors refer to factors such as noise, vibration, mistakes by other workers, suffocation risks, and accidents that may occur when handling heavy objects; and work environment factors refer to factors such as high / cold conditions, lighting, and movement (including transportation such as forklifts).

[0030] Accordingly, in step 1) of the present invention, safety information is identified through at least one of the six factors described above and transmitted to the management server. Below, an example in which all six factors are applied will be described.

[0031] Afterwards, when safety information is transmitted to the management server through the above-mentioned step 1), the management server determines the risk of the safety information step by step.

[0032] For example, in the present invention, risk determination is performed by converting the risk possibility (frequency) and risk severity (intensity) into a numerical value using arithmetic operations based on the six factors for the work target area in step 1) described above, and then applying the method to estimate the risk.

[0033] This risk determination estimation method is to determine how dangerous the identified hazard / risk factors are, especially in work areas such as manufacturing, by combining the frequency (likelihood) and intensity (severity) of the hazards using arithmetic operations such as multiplication, addition, and matrix to calculate the size (level) of the hazard, and to examine whether the size of this hazard is at an acceptable level.

[0034] For example, in a work area where a worker is working using a mobile ladder, the likelihood and severity of risk are obtained for each hazard / risk factor, and the resulting values ​​are multiplied to convert them into a numerical value to obtain risk numerical information for risk determination.

[0035] This risk value information may differ depending on the work equipment used in different work areas. In the present invention, in order to apply it to the digital twin program to be described later, the risk value information is divided into stage 1 with 1 to 3, stage 2 with 4 to 6, stage 3 with 7 to 8, stage 4 with 9 to 12, stage 5 with 13 to 15, and stage 6 with 16 to 20, and the risk value information is transmitted to the management server, thereby completing stage 2).

[0036] Afterwards, when the risk level information for different work target areas is transmitted to the management server through step 2) mentioned above, step 3) is executed to establish and take action to reduce the risk results.

[0037] For example, if the work target area is a raw materials storage area, the risk possibility before risk reduction measures are implemented is 4, the risk increase is 4, and the risk numerical information is 16, which is level 6 in the work target area. After the management server, through the manager, provides continuous risk reduction education to workers or installs devices to eliminate risks, moves loads around the warehouse entrance to secure visibility, installs reflectors at the entrance, and separates the movement paths of forklifts and workers, and implements and takes measures to reduce the risk, the management server obtains risk numerical information by re-executing step 2) mentioned above after a specified period of time.

[0038] Therefore, after improvement through implementation of reduction measures, the risk level information is obtained in step 3, where it drops to 8 (down to step 3).

[0039] Afterwards, step 4) is carried out to monitor the risk level of the work area by color using digital twin technology, a virtual world, so that the manager can identify and manage ongoing risk factors after implementing and taking measures to reduce the risk through step 3) mentioned above.

[0040] That is, after step 3), a virtual world similar to the actual work target area is designed and displayed in different colors according to the level of risk in the work target area, so that the manager can continuously manage it.

[0041] Here, the color displayed as a digital twin can be applied in correspondence with the risk value information described above, and preferably, if the risk value information is level 1, it is displayed in light green, if it is level 2, it is displayed in green, if it is level 3, it is displayed in yellow, if it is level 4, it is displayed in orange, if it is level 5, it is displayed in pink, and if it is level 6, it is displayed in red so that the risk can be assessed.

[0042] At this time, it is desirable to understand that the risk level of each stage is very low or low for stages 1 and 2, moderate for stage 3, and slightly high, high, and very high for stages 4 to 6, respectively.

[0043] That is, levels 1 to 3 mean that the current safety measures are maintained or partial management measures are needed, while levels 4 and 5 require improvement and urgent reduction measures and actions as needed, and level 6 means that work must be stopped immediately for the safety of workers.

[0044] Meanwhile, in step 4), in order to assess the risk of the work target area based on digital twins, data is collected through auxiliary devices provided by at least one of the cameras, production facilities, and sensors installed in the work target area, and then transmitted to the management server, whereby a risk detection AI model is built for each risk target, so that a virtual world based on the digital twin can be built.

[0045] Here, risk detection AI modeling refers to artificial intelligence that calculates risk information at set intervals through an algorithm set in the management server rather than calculating the risk of each work area individually, and applies different colors to the work area based on the results.

[0046] Furthermore, in the digital twin constructed through the above-mentioned step 4), when a risk is detected in the work target area through the constructed risk detection AI modeling, emergency information is displayed on the digital twin for confirmation. However, the emergency information is displayed as an alarm or a blinking color. However, when outputting to the digital twin in the above-mentioned step 4), it is desirable to enable the administrator to manage the history of the evaluation results and reduction measures provided by the management server and to continuously monitor the progress of risk management.

[0047] As described above, the confirmation method (1) according to the present invention is different from the conventional one in that it allows workers to recognize dangerous facilities and dangerous processes by displaying color marks, etc. on a monitor in a virtual world using a digital twin according to the risk level of the facilities and work, and provides the effect of confirming the results through an alarm, etc. when a dangerous situation occurs.

[0048] As described above, the present invention has been described with specific details such as specific components and limited examples and drawings, but these are provided only to help a more general understanding of the present invention, and the present invention is not limited to the above examples, and those with ordinary knowledge in the field to which the present invention pertains can make various modifications and variations from this description.

[0049] Therefore, the idea of ​​the present invention should not be limited to the described embodiments, and all things that are equivalent or equivalent to the scope of the patent claims described below as well as the claims are considered to fall within the scope of the idea of ​​the present invention.

[0050] The present invention can be applied industrially to identify risk factors of workers in one or more work areas, establish and implement reduction measures, and then execute continuous management based on digital twins.

Claims

1. 1) A step for identifying safety information, which is a hazardous factor and risk factor for workers in the work area, through the management server; 2) A step of determining the risk of safety information through periodic risk assessment and obtaining risk numerical information for each stage; 3) Step of establishing and taking action on reduction measures based on the risk determination results; and 4) A method for confirming risk using a risk management system based on a digital twin, characterized by including a step of outputting the risk level after risk reduction measures in color for each target on a digital twin.

2. In paragraph 1, In step 2) above, the step-by-step risk information is A method for confirming risk using a risk management system based on a digital twin, characterized in that the risk level is obtained based on the risk possibility and risk severity of the work target area through arithmetic operations, and the obtained risk numerical information is output in the following manner: if it is 1 to 3 in step 4), it is light green; if it is 4 to 6, it is green; if it is 7 to 8, it is yellow; if it is 9 to 12, it is orange; if it is 13 to 15, it is pink; and if it is 16 to 20, it is red.

3. In paragraph 2, The risk assessment in step 2 above is A risk identification method using a risk management system based on a digital twin, characterized in that data provided by at least one camera, production equipment, and sensor installed in a work area is collected and a risk detection AI model is built for each risk target on a management server.

4. In paragraph 3, The above management server A risk identification method using a risk management system based on a digital twin, characterized in that when a risk is detected in a work area through the established risk detection AI modeling, emergency information is displayed on the digital twin for confirmation, and the emergency information is displayed as an alarm or a flashing color.

5. In paragraph 4, In the above step 4), the digital twin output step is A risk identification method using a risk management system based on a digital twin, characterized by managing the history of evaluation results and reduction measures provided by the management server and providing monitoring of the progress of risk management.

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