KR101759916B1 - Server, system and method for safety management based on risk map by process and work hazard - Google Patents

Abstract

The present invention includes a display module, a memory in which the risk calculation program is stored, and a processor for executing the program. At this time, the processor calculates a regional risk index for a plurality of regions included in the process, calculates a work risk index for a plurality of jobs included in the process, and calculates a local risk index and a work risk index Based on this, the risk for the process is calculated.

Description

Technical Field [0001] The present invention relates to a server, a system, and a method for safety management based on risk,

The present invention relates to a server, a system and a method for safety management based on a risk map based on process and operational risk.

Fire, explosion, and the spreading of dangerous substances that may occur in processes using hazardous substances such as petroleum, chemical, and gas such as chemical process, refinery process, petrochemical process, gas process, semiconductor process and energy plant Large-scale human life and property damage can be caused. Therefore, safety management is an important issue in processes that use hazardous materials.

Recently, a method of performing process safety management based on the Internet of Thing (IoT) has been used. This method can perform monitoring and safety management of a process through a plurality of object Internet sensors corresponding to equipment in the process.

In this connection, Korean Patent Laid-Open Publication No. 10-2016-0025812 (entitled "Safety Management System and Method") discloses a system and method for a wireless process control system, Discloses a safety management system and method in which process control information and safety management information are transmitted to a data server through a system that normally operates when a problem occurs in a part of the system environment or the safety system environment.

SUMMARY OF THE INVENTION The present invention provides a server, a system, and a method for calculating a risk of a process and an operation, and performing a risk map-based safety management based on a calculated process and a task risk .

It should be understood, however, that the technical scope of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

According to a first aspect of the present invention, there is provided a safety management server based on a risk and a risk map, the security management server including a display module, a memory storing a risk calculation program, a processor executing a program, . At this time, the processor calculates a regional risk index for a plurality of regions included in the process, calculates a work risk index for a plurality of jobs included in the process, and calculates a local risk index and a work risk index Based on this, the risk for the process is calculated.

According to a second aspect of the present invention, there is provided a risk management system based on a risk and a risk management system, comprising a safety management server and a sensor data collection server for collecting sensor data for a plurality of sensors included in the process. At this time, the safety management server calculates a local risk index for a plurality of regions included in the process and a work risk index for a plurality of jobs included in the process, and calculates a risk index for the process based on the local risk index and the work risk index And transmits it to the user terminal.

According to a third aspect of the present invention, there is provided a risk management system based on risk and process risk in a management server, comprising: calculating a local risk index for a plurality of regions included in a process; Calculating a work risk index for a plurality of jobs included in the process; And calculating a risk for the process based on the local risk index and the work risk index.

The present invention can calculate the risk by region and work in the process. The present invention enables systematic accident prediction and response. In addition, the present invention can provide real-time monitoring in conjunction with sensors in facilities and processes included in the process.

Therefore, the present invention can prevent accidents during high-risk process and aging process. In addition, the present invention is capable of rapid response in the event of an accident, and has the effect of reducing damage to human lives and property.

1 is a block diagram of a safety management server according to an embodiment of the present invention.
2 is an illustration of an area according to an embodiment of the invention.
Figure 3 is an illustration of a HAZOP evaluation user interface in accordance with one embodiment of the present invention.
Figure 4 is an illustration of geometric criteria for fire, explosion, and diffusion according to one embodiment of the present invention.
5 is an exemplary diagram of an ERPG reference value according to an embodiment of the present invention.
6 is a diagram illustrating an example of a failure rate based probability evaluation according to an embodiment of the present invention.
7 is an exemplary diagram of a damage impact class according to one embodiment of the present invention.
Figure 8 is an illustration of a risk matrix in accordance with an embodiment of the present invention.
FIG. 9 is an exemplary view illustrating an evaluation of a work risk index according to an embodiment of the present invention.
10 is an exemplary diagram of a risk matrix for calculating a risk according to an embodiment of the present invention.
11 is an exemplary diagram of a safety hazard map for fire damage according to an embodiment of the present invention.
FIG. 12 is a diagram illustrating an example of a safety hazard map for explosion damage according to an embodiment of the present invention.
13 is an illustration of a safety hazard map for diffusion damage according to an embodiment of the present invention
14 is an exemplary diagram of a safety hazard map for damage according to an embodiment of the present invention.
15 is an exemplary diagram of a safety risk map according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when a part is referred to as "including " an element, it does not exclude other elements unless specifically stated otherwise.

Hereinafter, a safety management server, a safety management system, and a safety management method for a management server for safety management based on a risk map based on process and operation risk according to an embodiment of the present invention will be described. However, the process is not limited to chemical processes, and can be any kind of process using hazardous substances such as petroleum, chemical, and gas such as refinery process, petrochemical process, gas process, semiconductor process and energy plant. Also, in the specification, the user may be a manager, a person in charge, an operator, and a user performing related tasks or safety management for a specific region or facility in the whole process or process.

1 to 15, a safety management server 100 for a process according to an embodiment of the present invention will be described.

FIG. 1 is a block diagram of a risk management server 100 according to an embodiment of the present invention.

The risk-based safety management server 100 according to the process and operation risk calculates the risk for the region and the operation in the process, and generates and provides a safety hazard map to the user. At this time, the safety management server 100 may include a communication module 101, a database 102, a display module 103, a memory 104, and a processor 105.

At this time, the communication module 101 can receive the sensor data generated from the plurality of sensors 111. [ At this time, the plurality of sensors 111 may be included in or connected to an internet of thing (IoT) sensor or a process facility 141. The communication module 101 can directly receive the sensor data from each sensor 111 or receive the collected data through the sensor data collection server 110. [

In addition, the communication module 101 can perform data communication with the user terminal 120 and the related institution server 130. At this time, the user terminal 120 may be an operator performing an operation in a corresponding process or an administrator terminal performing a management of a job, but the present invention is not limited thereto.

The related institution server 130 may be a server of a related institution, which is associated with the process or has been consulted in advance. For example, in the case of a chemical process, the related organization may be a server of the National Emergency Management Agency or the Ministry of Environment, or a server of a gas safety corporation, an electric safety corporation, or a safety and health corporation, but is not limited thereto.

The database 102 may store sensor data and accident history data. At this time, the database 102 may be mounted on the safety management server 100. In addition, the database 102 may be connected to the safety management server 100 through a communication module 101 as a separate database 102 server. The sensor data stored in the database 102 may be collected and stored from each sensor 111 or collected through the sensor data collection server 110 and then stored.

The accident history data may include accident history data and general accident history data in the corresponding process. At this time, the incident history data corresponding to the process may be collected and stored through the monitoring server 140 of the process. In addition, general accident history data may be accident history data collected in another process.

The monitoring server 140 may collect accident history data directly from the facility 141 or store an accident history for the facility 141 that the user inputs. Also, the monitoring server 140 may collect the accident history data based on the collected sensor information through the sensor data collection server 110, but is not limited thereto.

The sensor data collection server 110 is a server or middleware that collects sensor data from a plurality of sensors 111 and transmits the collected sensor data to the safety management server 100 or the monitoring server 140. At this time, the sensor data collection server 110 may be the monitoring server 140.

The sensor 111 may be installed in correspondence with the equipment 141 in the process and the process. At this time, the sensor 111 may be a temperature sensor, a pressure sensor, a flow sensor, an illuminance sensor, a gas sensor, and a leakage sensor for a hazardous material.

The display module 103 may display a job stability risk map generated using the risk and the risk calculated for the unit area and the operation in the process.

The memory 104 stores a risk calculation program for the process. At this time, the memory 104 collectively refers to a non-volatile storage device that keeps stored information even when no power is supplied, and a volatile storage device that requires power to maintain stored information.

The processor 105 calculates a regional risk index for a plurality of regions in the process and an operational risk index for a plurality of operations in the process. Then, the processor 105 calculates the risk for the process based on the calculated regional risk index and the work risk index.

At this time, a plurality of regions in the process can be set according to a predetermined classification criterion. For example, a predetermined classification criterion may be at least one of a process of a corresponding process, a type of equipment in the process, a characteristic of a material handled in the process, and a specific job.

That is, the processor 105 may divide an area in the process into sub-areas according to the process of the corresponding process, and for each process that may occur in the process. For example, the processor 105 may divide the process into detailed unit areas, such as storage areas, process areas, filling areas, unloading areas, and other areas, depending on the process of the process.

At this time, the type of equipment in the process may be a tank, a vessel, a heater, a heat exchanger, a reactor, a pump, and a pipe. In addition, the properties of the handling material can be flammable, explosive, liquid, gaseous, solid and toxic. In addition, the process area may include a heater process, a cooling process, a decomposition process, and a reaction process. The charging area may include a material inlet and a container charging station.

The processor 105 may select a primary work area for performing a main operation during the process as a unit area for measuring the degree of risk. At this time, the main working area may include resident manpower area and non resident manpower area. The resident manpower area may be an area where the manpower resides for a predetermined period of time.

In addition, the non-resident manpower area may not be resident but may be an area where people or property around the area may be damaged in the event of an accident. For example, non-resident manpower areas can be classified as work areas such as work areas, general site patrols such as turn around (T / A), regular inspection areas, work areas such as unloading and charging, Area.

Alternatively, the unit area for measuring the risk may be selected from among a plurality of areas by the user. That is, the processor 105 may measure the risk for the region selected by the user.

For this purpose, the processor 105 may display, via the display module 103, a drawing including a list of facilities 141 included in the process and a plurality of facilities. At this time, the facility 141 may include other facilities, equipment, piping, caskets, valves, ruptures, and devices. Therefore, the list of facilities 141 may be a tree structure having a hierarchical structure.

When the user selects a plurality of regions through a list or a drawing of the facilities, the processor 105 can select a plurality of regions as a unit region for measuring the degree of risk.

2 is an illustration of an area according to an embodiment of the invention.

The processor 105 may divide the entire process into a plurality of sub-regions according to a predetermined sorting criterion. Further, the processor 105 can divide the plurality of regions again according to a predetermined classification criterion, for each sub-region. As such, the processor 105 may hierarchically divide the process into a plurality of regions up to a unit area level.

Referring to FIG. 2, the processor 105 may divide one region 200 in the drawing into six subregions. In addition, the processor 105 may divide one region 210 of the detailed regions into 11 unit regions again. At this time, each unit area may include one or more facilities 141 classified according to the predetermined sorting criteria described above.

The processor 105 calculates the regional risk index for each unit area after dividing the process into a plurality of unit areas.

To this end, the processor 105 may set the risk factors for the unit area and set an accident scenario. At this time, the processor 105 may be configured with a risk factor based on a hazard and operability review (HAZOP) risk assessment. HAZOP means risk and operationality review techniques. HAZOP can identify and evaluate process hazards. In addition, HAZOP is not dangerous, but it can identify factors that impede productivity or problems in operation compared to the production capacity of the design at the time of design. In addition, the processor 105 can re-analyze the result of the risk assessment for the set risk element, and extract the high risk element among the risk factors.

Therefore, the processor 105 can display, via the display module 103, a check list to the user that can perform a HazOP risk assessment. In addition, the processor 105 may set the above-described risk factors and high risk factors based on the response to the user's check list.

To this end, the processor 105 may provide a HAZOP evaluation application based on the drawing of the facility 141 included in the unit area.

For example, the HAZOP evaluation application may include a HAZOP evaluation user interface to allow the user to perform a HAZOP evaluation.

Figure 3 is an illustration of a HAZOP evaluation user interface in accordance with one embodiment of the present invention.

The HAZOP evaluation application may provide the user with a plurality of modules included in the HAZOP evaluation application via the HAZOP evaluation user interface. For example, a plurality of modules included in the HAZOP evaluation application includes a variable for setting a HAZOP risk assessment and a guide word setting module, a process departure and variable setting module for each facility in the unit area, a facility drawing providing module in the unit area, And a risk assessment module that evaluates equipment-specific risks within the unit area according to the variables and guide words.

Then, the processor 105 can set an accident scenario for the unit area based on the accident history data in the corresponding collected process and the general accident history data collected in the other process.

The accident history data collected in the corresponding process may be the one in which the manager of the corresponding process directly inputs the history every time an accident occurs in the corresponding process. Alternatively, the accident history data in the corresponding collected process may be collected data through the monitoring server 140 whenever an accident occurs in the process.

The general accident history data may be generated based on the selected virtual accident model after selecting the virtual accident model.

For example, the processor 105 may use a worst-case scenario that may suffer the worst damage in a single accident based on the conventional guidance, and a virtual accident selection criterion that is presumed to have a high accident frequency, Can be set. At this time, the conventional guidance may be the items proposed by the US Environmental Protection Agency (EPA), the safety guide issued by the Korea Occupational Safety and Health Agency, and the technical guidance on the selection of the accident scenarios of the Chemical Safety Agency, But is not limited thereto.

In addition, the processor 105 can utilize the accident scenario set by the user in consideration of the accident case in the similar process and the expert opinion of the safety manager. To this end, the processor 105 may provide an accident scenario setting interface via the display module 103.

The processor 105 can perform damage endpoint setting, wind speed / atmospheric stability, atmospheric temperature / atmospheric humidity, and height of the leak source that can occur in the unit area for analysis of an accident scenario suitable for the process .

At this time, the setting of the end point means setting the range in which a certain level of damage can occur depending on the physical / chemical characteristics of the harmful chemical substance and the risk of fire, explosion, leakage and leakage. Wind speed / atmospheric stability refers to the correction of wind speed and air stability (F) setting criteria at 1.5m / s per second assumed in a common accident scenario, based on actual wind speed and atmospheric stability in the process. Atmospheric temperature / atmospheric humidity refers to the correction of the assumed ambient temperature of 25 degrees Celsius and atmospheric humidity 50% in a typical accident scenario, depending on the actual atmospheric temperature and atmospheric humidity that can occur in the process. The height of the leakage source is set according to the height of the leakage source.

The processor 105 may perform a damage assessment for the scenario set in the unit area, thereby evaluating the risk of damage to the unit area. At this time, the processor 105 can evaluate the damage risk according to fire, explosion, and diffusion damage that may occur in the unit area.

Specifically, the processor 105 may use a predefined damage prediction model to assess the damage risk. In this case, the predefined damage prediction model is a model of a boiling liquid expanding vapor explosion (BLEVE), a vapor cloud explosion (VCE) model, a pool fire model, a jet fire jet fire model, and a toxic diffusion model.

At this time, the damage prediction model can be selected based on CCPS (center for chemical process safety), API (American petroleum institute), TNO-ME (TNO multi-energy)

The leak model can use the revised CCPS in 2012 for the processor 105 as a leak model.

In addition, the Blavi model can use the revised CCPS in 2010. In this case, Blebie is also called fire ball because pressurized, stored, pressurized liquid material is instantly exploded above the boiling point due to fire around the combustible material, causing damage to the surroundings due to radiant heat and pressure. Damage caused by the Bleb's phenomenon can be a cause of heat and pressure. Therefore, the processor 105 can consider the damage caused by heat through the Blebby model.

The gas vapor explosion model can use TNO-ME, taking into account both the explosion characteristics, the obstacles and the reactivity of the material. At this time, the gas explosion explosion means that the combustible gas is ignited in a certain space, and the overpressure generated by the instant explosion affects the surroundings.

Full fire models can use CCPS revised in 1999. At this time, full fire means that a fire caused by leakage and ignition of combustible liquid material on the surface of the earth causes radiant heat to the surroundings.

The jet fire model can use API 521. In this case, the jet fire is a phenomenon in which a fire caused by ignition of a combustible material stored at a high pressure is damaged around the fire.

In order to take both toxic diffusion into the jet form of leaking material and its application to full evaporation, a modified SLAB model in 1990, which is an early diffusion model considering both material, energy and momentum, can be used.

The processor 105 may then use the predefined damage prediction model to evaluate the damage in accordance with the fire, explosion, and diffusion damage that may occur in the unit area.

First, the processor 105 can evaluate damage to a fire accident. At this time, a fire accident may include the above-mentioned blues, full fire and jet fire. In addition, the processor 105 may set an anticipated endpoint in the event of a damage to a chemical accident.

The processor 105 may evaluate the damage to the explosion. At this time, an explosion may include explosion.

The processor 105 may evaluate the damage to the spreading accident. At this time, the spreading accident means the phenomenon that the toxic substance is diffused into the atmosphere due to the diffusion of the toxic substance and has a harmful effect on the human body.

On the other hand, the processor 105 may derive a geometric criterion after the damage assessment for fire, explosion and toxicity. Then, the processor 105 can derive a probability grade for the facility 141 in the unit area, and evaluate the risk of damage to the unit area.

Figure 4 is an illustration of geometric criteria for fire, explosion, and diffusion according to one embodiment of the present invention.

In the event of an accident, the extent of the accident of fire, explosion and spread may be from the accident starting point 420 to the accident ending point 430. Therefore, the unit area 410 may include a part 440 of the unit area 410 in the range of fire, explosion, and spread.

At this time, in the case of a fire, the accident end point 430 may be a criterion for judging the influence of radiant heat on a user or a peripheral device. In the case of an explosion, the accident end point 430 may be a criterion for determining the influence of the explosion overpressure due to a strong explosion on the user. In the case of diffusion, the accident endpoint 430 can be a criterion for determining the effect on the toxic concentration.

The accident end point 430 according to one embodiment of the present invention can be set based on a work safety guide. For example, in the event of a fire, the accident end point 430 may be 37.5 kW / m ² (level 3), which can cause damage to the apparatus and facility 141 due to fire. In the case of an explosion, the accident end point 430 may become 21 kPa (level 2) at which the steel structure of the building is damaged due to overpressure and a body injury may occur. In addition, in the case of diffusion, the accident end point 430 may be a material-specific PPM determined according to ERPG-3. The ERPG-3 standard for each substance is shown in FIG.

5 is an exemplary diagram of an ERPG reference value according to an embodiment of the present invention.

The processor 105 may analyze the impact of the accident on the basis of the geometric criteria for the portion of the damage that arrives from the accident starting point within the unit area.

For this, the processor 105 can calculate the geometric area occupied by the accident through the intersection 440 between the accident starting point 420 and the accident end point 430 and the unit area. At this time, the closest point to the accident starting point among the intersection 440 between the accident starting point 420 and the accident end point 430 and the unit area can be the highest damage point 450 in the unit area.

The processor 105 may then calculate the ratio of the geometric area of the incident to the entire unit area, based on the geometric area for the unit area.

Thus, the processor 105 can calculate the impact of an accident on all accident scenarios that affect the unit area. Then, the processor 105 can calculate the damage effect of the unit area based on the accident effect calculated for all the accident scenarios.

Based on the method described above, the processor 105 can derive geometric damage calories for a fire in a unit area. In addition, the processor 105 can derive a geometric damage overpressure amount for an explosion in a unit area. The processor 105 may derive the geometric damage concentration for the diffusion of the unit area.

Then, the processor 105 may perform the failure rate-based probability evaluation based on the failure rate of the representative equipment 141 among the plurality of equipments 141 included in the unit area. At this time, the processor 105 can receive information on the failure rate through the monitoring server 140. [ In addition, the processor 105 can use the monitoring server 140 to obtain information on the failure rate pre-stored in the database 102 after the information is collected or failure information of the facility. If there is no information on the previously stored failure rate or failure information of the facility, the processor 105 may infer information on the fixed rate based on the overseas reliability data.

Specifically, the processor 105 can calculate the annual failure reach time for the facility 141 based on the leakage or failure frequency for the facility 141 for one year. Then, the processor 105 can calculate the annual management reference time based on the facility 141 management criterion.

The processor 105 is connected to a representative facility for fire, explosion, and diffusion, respectively, based on the operating time for each facility 141 and the calculated annual management reference time collected through the monitoring server 140, It is possible to calculate an accident occurrence possibility index that reflects the operation time of the driver 141.

6 is a diagram illustrating an example of a failure rate based probability evaluation according to an embodiment of the present invention.

Referring to FIG. 6A, the accident occurrence index can be calculated based on the operation time of the facility 141 with respect to the annual management reference time. In addition, when an accident possible index is calculated, a probability grade can be calculated according to the calculated index. At this time, the calculation standard of the probability grade is as shown in Fig. 6 (b).

In this manner, the processor 105 may perform a failure rate based probability assessment for the representative facility 141 of fire, explosion, and spread to calculate a probability class for each fire, explosion, and spread. Then, the processor 105 may calculate the risk index for the unit area based on the damage influence and the probability grade calculated for each of the fire, explosion and spread. At this time, the processor 105 may use the damage impact class for each of fire, explosion, and diffusion. The criteria for each of the impact classes of fire, explosion and spread are shown in FIG.

7 is an exemplary diagram of a damage impact class according to one embodiment of the present invention. At this time, FIG. 7 (a) is a criterion for estimating the fire damage level. Fig. 7 (b) is a criterion for calculating the explosion damage level, and Fig. 7 (c) is a standard for calculating the diffusion damage level.

For example, the processor 105 may calculate the fire damage level according to the degree of fire damage to the unit area. Then, the processor 105 can calculate the risk index using the fire damage degree of the corresponding unit area and the failure rate based on the fire rate calculated in the previous step. At this time, the processor 105 may use a risk matrix as shown in FIG.

For example, if the fire damage rating is 'C' and the probability grade is 'D', the processor 105 may calculate the risk index as 'Medium' based on the risk matrix.

Figure 8 is an illustration of a risk matrix in accordance with an embodiment of the present invention. In this case, in FIG. 8, the horizontal axis represents the damage level and the vertical axis represents the probability level.

The processor 105 may then calculate the risk index for the fire and then calculate the risk index for the explosion and spread through the same method. At this time, the processor 105 may use different hazard matrices for fire, explosion, and spread, respectively, or use them equally.

The processor 105 may calculate the risk index for the final unit area using the risk index for each of the calculated fire, explosion and spread. At this time, the processor 105 may select a risk index having the highest risk index among the risk indexes of fire, explosion, and spread, and calculate the risk index for the final unit region.

On the other hand, the processor 105 calculates a work risk index for a plurality of jobs included in the process. At this time, the work may be a major work within the unit area or a dangerous work within the unit area.

Operations included in the process according to the work safety guide may include common operations, equipment operations, inspection operations, mechanical operations, instrument operations and electrical operations. The processor 105 may classify the task based on such a process job classification criteria. Alternatively, the processor 105 can analyze the existing chemical accidents occurring at home and abroad, and classify the work by accident type.

At this time, the processor 105 can use the safety work guide and the risk calculation data stored in the database 102. In addition, the processor 105 may utilize accident history data stored in the database 102. The safety work permit is shown in Figure 9 (a).

FIG. 9 is an exemplary view illustrating an evaluation of a work risk index according to an embodiment of the present invention.

The conventional general safety work permit is shown in Fig. 9 (a). The processor 105 may utilize a task risk index based safety task management item extracted from a general safety task authorization. At this time, the extraction of the safety task management item based on the work risk index can be performed through the user from the general safety work authorization or can be extracted by the processor 105, but is not limited thereto.

Alternatively, the processor 105 may utilize a task risk index based safety task management item extracted from a job safety analysis (JSA) based safety task authorization. For example, the processor 105 may extract a task risk index-based safety task management item as shown in FIG. 9 (b) from a general safety task authorization or a JSA-based safety task authorization.

Then, the processor 105 can calculate the work risk index for the accident history data and the safety work management item.

Specifically, the processor 105 can calculate the risk based on life injury or property loss. For example, when two or more people are seriously injured, or when more than 30 million won of property is lost, the risk may be A. In addition, if one or more persons are seriously injured, or if there is a loss of 2 ~ 30 million Won of property, the risk becomes B, and if there are 3 or more injured persons or property loss of 1 ~ 20 million won, the risk becomes C . If there are less than 2 persons or property loss of 500,000 to 10 million won, the risk is D, and if there are less than 1 person or if there is a loss of 5 million won or less, the risk may be E have.

In addition, the processor 105 may calculate the cause probability rating according to the frequency of occurrence of the risk in the task. For example, a job that is at risk 10 times or more per 100 jobs is a 1-rank, 6 to 10 times per 100 jobs. A job that is at risk is a 2-level job. A job that involves 3-6 risks per 100 jobs. Can be calculated as grade 4 for jobs with less than 3 risks per 100 jobs and grade 3 for jobs with less risk.

At this time, the processor 105 may calculate a risk index for the job based on the calculated risk and the calculated probability of occurrence probability according to a predetermined criterion. For example, the processor 105 may calculate a risk index using the pre-generated risk matrix to calculate a risk index of the task.

The processor 105 may correct the calculated risk index based on actual accident history data stored in the database 102, when the risk index for the job is calculated. For example, if there is only one actual incident, the processor 105 may enhance the risk index for that task by a factor of one. In addition, if there are two actual accidents, the risk index for the work can be strengthened to 2 levels.

As described above, when a risk index for a unit area and a risk index for a job are calculated, the processor 105 can map the job and the area. The processor 105 may then calculate the final risk index corresponding to the mapped job and region.

For example, the processor 105 may calculate a final risk index corresponding to the job and the region, based on a predetermined risk matrix, as shown in FIG.

10 is an exemplary diagram of a risk matrix for calculating a risk according to an embodiment of the present invention.

On the other hand, the processor 105 may calculate a risk of a job contained in a plurality of unit areas and each unit area, and then generate a job safety risk map for the process based on the calculated risk. At this time, the operational safety risk map for the process may be a mapping of the drawings and the risks to the plurality of facilities 141 included in the process and the process. The processor 105 may provide the user with a risk-mapped view through the display module 103. [

Specific details of the work safety risk map will be described with reference to Figs. 11 to 14. Fig.

11 is an exemplary diagram of a safety hazard map for fire damage according to an embodiment of the present invention.

The processor 105 can map the risk evaluation result to the fire in the drawings of the plurality of facilities 141 included in the unit area. At this time, the processor 105 may provide a user interface for simulating the risk assessment result according to the characteristics of the material used in the unit area. At this time, the user interface can display the degree of damage caused by the fire in a circle (1100) in the drawing.

In addition, the processor 105 can provide the user with detailed information on the damage in case of a fire in the unit area. For example, the processor 105 may provide the user with graphs 1110 and 1120, which include detailed information about the damage in case of fire in the unit area, through the user interface.

FIG. 12 is a diagram illustrating an example of a safety hazard map for explosion damage according to an embodiment of the present invention.

The processor 105 may map the risk assessment result for the explosion to the drawings of the plurality of facilities 141 included in the unit area. At this time, the processor 105 may provide a user interface for simulating the risk evaluation result according to the explosion according to the characteristics of the material used in the unit area. At this time, the user interface can display the degree of overpressure (1200) in the drawing through color or lightness.

In addition, the processor 105 may provide the user with detailed information on the damage in the event of an explosion in the unit area. For example, the processor 105 may provide the user with graphs 1210 and 1220 containing details of the damage in the event of an explosion in the unit area through the user interface.

13 is an illustration of a safety hazard map for diffusion damage according to an embodiment of the present invention

The processor 105 may map the risk assessment result for the diffusion to the drawings of the plurality of facilities 141 included in the unit area. At this time, the processor 105 may provide a user interface for simulating the risk evaluation result according to the characteristics of the material used in the unit area. At this time, the user interface can represent the leak diffusion concentration 1300 on the drawing through color or contrast.

The processor 105 may provide the user with detailed information on the damage in the event of an explosion in the unit area. For example, the processor 105 may provide the user with a graph 1310 containing detailed information on the damage in the event of an explosion in the unit area, through the user interface.

14 is an exemplary diagram of a safety hazard map for damage according to an embodiment of the present invention.

The processor 105 may map the fire, explosion and spread risk assessment results 1400 and the detailed information 1410 to the drawings and provide them to the user. This allows the user to perform a comprehensive risk assessment of the unit processes and operations.

As described above, the processor 105 can map and display the fire, explosion, and spreading hazards for a unit area on a drawing. In addition, the processor 105 can map and display the comprehensive risk for the unit area on the drawing.

15 is an exemplary diagram of a safety risk map according to an embodiment of the present invention.

The processor 105 can map the risk in the process region and the operation to the drawing and display it through the display module 103. [ At this time, the processor 105 can provide a risk variation simulation user interface according to the change of the material. Therefore, the user can check the risk of each region and work in process at a glance and check the change of risk according to the hazardous material.

In addition, the processor 105 can transmit, via the communication module 101, the risk to the user terminal 120 by region and work. The user can check the risk level of each area and work provided from the safety management server 100 through the user terminal 120. At this time, the processor 105 may transmit the entire region and the risk according to the job to the user terminal 120, or may select the region or the job whose risk level is higher than a predetermined reference level, and transmit the selected region or job to the user terminal 120.

The processor 105 may send the risk corresponding to the user to the user terminal 120 based on the user's current location or current job. At this time, the processor 105 may use the location information received through the terminal of the user, or may use the preset location information or the operation information of the corresponding user.

Meanwhile, the processor 105 can perform on-line safety monitoring using real-time data that can be collected in the process. The real-time data may be real-time sensor data collected from a plurality of sensors 111 or real-time log data collected from a plurality of facilities 141. That is, the processor 105 can perform safety monitoring on the real-time data collected from the sensor data collection server 110 or the monitoring server 140 through the communication module 101.

Further, if the risk for any area or task is above a predetermined criterion, or if an accident or anomaly is detected through the collected real-time data, the processor 105 may generate an alert. The processor 105 may then send detailed information about the generated alerts and alerts to the user terminal 120.

At this time, the detailed information on the alarm may include the risk index, the risk factor, the type of the region and the operation, the detailed information on the accident and the abnormality symptom, and the damage prediction information. In addition, the detailed information on the alert may include manuals and related regulations for responding to accidents and anomalies.

In addition, the processor 105 may send detailed information about alerts and alerts generated to relevant institutions related to the process of alerting. At this time, the related organizations can be government agencies related to processes such as the National Emergency Management Agency and the Ministry of Environment or safety management institutions such as Gas Safety Corporation, Electric Safety Corporation and Korea Safety and Health Corporation.

1, a risk map-based safety management system 10 according to an embodiment of the present invention will be described.

Process and Operational Risk The hazard-based safety management system (10) assesses the risk of fire, explosion and toxic substance diffusion in the process and performs safety management. At this time, the safety management system 10 includes a safety management server 100, a sensor data collection server 110, and a user terminal 120.

The safety management server 100 calculates a risk for the area and the operation in the process, and generates and provides a safety hazard map to the user.

The sensor data collection server 110 collects sensor data from sensors 111 corresponding to a plurality of facilities 141 in the process or process. At this time, the sensor data collection server 110 may be a monitoring server 140 collecting logs for the facility 141 described above.

Also, the user terminal 120 is a terminal of the user to the facility 141 in the corresponding process or process.

The safety management server 100 calculates a regional risk index for a plurality of regions included in the process. And the safety management server 100 calculates a work risk index for a plurality of jobs included in the process. The safety management server 100 calculates the risk for the process based on the local risk index and the work risk index. And the safety management server 100 transmits the risk to the user terminal.

In addition, the safety management server 100 can monitor the process using the risk and the sensor 111 data collected from the sensor data collection server 110. At this time, the monitoring in the process may be monitoring the process 141 and the equipment 141 included in the process.

The safety management server 100 may generate an alert for an accident if an accident is generated for the process. And the safety management server 100 may transmit the generated information to the user terminal 120. [

Referring to FIG. 16, a risk management method based on a risk map based on a process and an operation risk of the management server 100 according to an embodiment of the present invention will be described.

The management server 100 calculates a regional risk index for a plurality of regions included in the process (S1600). At this time, the management server 100 can set an accident scenario for the area. Then, the management server 100 can evaluate the damage risk by performing damage assessment for the set accident scenarios. The management server 100 may calculate the regional risk index for a plurality of regions based on the estimated damage risk.

Then, the management server 100 calculates an operation risk index for a plurality of jobs included in the process (S1610). At this time, the management server 100 can calculate the work risk index based on the accident history.

When the local risk index and the work risk index are calculated, the management server 100 calculates a risk for the process based on the local risk index and the work risk index (S1620).

After the management server 100 calculates the risk, it can generate a safety risk map based on the risk for the process. The management server 100 may map the process safety risk map to the process map.

In addition, after calculating the risk, the management server 100 can monitor the process based on the risk to the process and the sensor data collected from the plurality of sensors 111. [

The server 100, the system 10, and the method for safety management based on the risk map based on the process and operation risk according to an exemplary embodiment of the present invention can calculate the risk level according to the region and the operation in the process. The server (100), system (10) and method for risk-based safety management by process and operational risk are capable of systematic accident prediction and response. In addition, the server 100, the system 10 and the method for risk management based on risk based on the process and the operational risk can be used in real time monitoring in connection with the sensor 111 of the facility 141 included in the process and the process .

Therefore, the server (100), system (10) and method for safety management based on risk map based on process and operation risk can prevent accidents during operation of high-risk process and aging process. In addition, the server 100, the system 10, and the method for safety management based on the risk map based on the process and the operation risk are capable of quick response in case of an accident, thereby reducing damage to people and property. .

One embodiment of the present invention may also be embodied in the form of a recording medium including instructions executable by a computer, such as program modules, being executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

While the methods and systems of the present invention have been described in connection with specific embodiments, some or all of those elements or operations may be implemented using a computer system having a general purpose hardware architecture.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

10: Safety management system
100: Safety management server
101: Communication module
102: Database
103: Display module
104: Memory
105: Processor
110: Sensor data collection server
111: Sensor
120: User terminal
130: Related institution server
140: Monitoring Server
141: Equipment

Claims (19)

A risk map-based safety management server due to process and operational risk,
Display module,
The memory where the risk calculation program is stored,
And a processor for executing the program,
Wherein the processor is configured to set an accident scenario for a plurality of regions included in the process and to extract a risk factor for the plurality of regions based on a hazard and operability review risk assessment, Evaluating a risk of damage to the plurality of regions based on the extracted risk factors and the set incident scenarios, calculating a local risk index for the plurality of regions based on the estimated risk of damage, Calculating a risk index for a plurality of jobs performed on the basis of the local risk index and the risk index; The method according to claim 1,
The processor classifies the process into the plurality of regions according to a predetermined classification criterion,
Wherein the predetermined classification criteria includes at least one of a process for the process, a type of equipment included in the process, a material handled in the process, and a predetermined work area within the process. The method according to claim 1,
Wherein the processor generates a safety hazard map based on the risk for the process and maps the generated safety hazard map to the drawing for the process. delete delete The method according to claim 1,
The processor is configured to perform a damage assessment for the set incident scenario based on at least one of a center for chemical process safety (CCPS) model, an American petroleum institute (API) model, a TNO multi-energy (TNO-ME) , The safety management server. The method according to claim 1,
Such damage includes fire damage, explosion damage, and diffusion damage,
Wherein the processor performs an evaluation of the fire damage and the explosion damage on the flammable material included in the accident scenario and performs an evaluation of the diffusion damage on the toxic material included in the accident scenario Management server. The method according to claim 1,
Wherein the processor calculates the local risk index based on a probability of failure of a facility included in the incident scenario. The method according to claim 1,
Further comprising a database for storing accident history,
Wherein the processor calculates the operation risk index based on the accident history. The method according to claim 1,
Further comprising a communication module for performing communication with a user terminal and a plurality of sensors,
Wherein the processor sends a risk to the user terminal for the process. 11. The method of claim 10,
Wherein the processor performs monitoring for the process based on the risk to the process and sensor data collected from the plurality of sensors. 12. The method of claim 11,
Wherein the processor generates an alarm corresponding to the accident when an accident occurs in the facility included in the process and transmits the alarm to at least one of the user terminal and the related organizations corresponding to the process, . In a hazard map based safety management system due to process and operational risk,
Safety management server and
And a sensor data collection server for collecting sensor data for a plurality of sensors included in the process,
Wherein the safety management server establishes an accident scenario for a plurality of regions included in the process, extracts a risk element for the plurality of regions based on a hazard and operability review risk assessment, And evaluating a risk of damage to the plurality of regions based on the set incident scenarios, and based on the assessed risk of damage, calculating a local risk index for the plurality of regions and a plurality of tasks included in the process, Calculates an index, calculates a risk for the process based on the local risk index and the risk index, and transmits the calculated risk to the user terminal. 14. The method of claim 13,
Wherein the safety management server performs monitoring for the process based on the risk for the process and sensor data collected from the sensor data collection server. 15. The method of claim 14,
Wherein the safety management server generates an alarm for the accident when an accident occurs in the process, and transmits the alarm to the user terminal. Claims 1. A risk map-based safety management method based on process and operational risk at a management server,
Calculating a regional risk index for a plurality of regions included in the process;
Calculating a task risk index for a plurality of tasks included in the process; And
Calculating a risk for the process based on the local risk index and the work risk index,
The step of calculating the regional risk index comprises:
Setting an accident scenario for the area;
Extracting a risk factor for the plurality of regions based on hazard and operability (HAZOP) risk assessment;
Evaluating a risk of damage to the plurality of regions based on the extracted risk factors and the set incident scenarios; And
And calculating a regional risk index for the plurality of regions based on the estimated damage risk. delete 17. The method of claim 16,
After calculating the risk for the process,
Generating a safety hazard map based on the risk for the process; And
Further comprising mapping the generated safety risk map with the drawing for the process. 17. The method of claim 16,
After calculating the risk for the process,
Further comprising performing monitoring for the process based on the risk to the process and sensor data collected from the plurality of sensors.

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