KR20170006843A - Method and apparatus for calculating work hazard based on work properties - Google Patents
Method and apparatus for calculating work hazard based on work properties Download PDFInfo
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- KR20170006843A KR20170006843A KR1020150098127A KR20150098127A KR20170006843A KR 20170006843 A KR20170006843 A KR 20170006843A KR 1020150098127 A KR1020150098127 A KR 1020150098127A KR 20150098127 A KR20150098127 A KR 20150098127A KR 20170006843 A KR20170006843 A KR 20170006843A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
Description
More particularly, the present invention relates to a technique for calculating an accident risk of various jobs on the basis of job attributes, and more specifically, it relates to the probability of occurrence of accidents occurring during work and the risk of work for estimating damage, Based on the job attribute of the job.
It is pointed out that risk assessment and management, which assesses the probability of occurrence of accidents and manages them, is an important issue in the workplace where hazardous materials or facilities are operated, such as plants and chemical processing plants, Various methods have been proposed for assessing risk.
In such a workplace, chemical agents and oil products may be present in the working environment, and there may be working facilities such as pipes and tanks. In order to evaluate the risk due to the risk of leakage, ignition and explosion in such materials and facilities, for example, in Korean Patent Laid-Open Nos. 2009-0079092 and 2005-0068858, And provides a technique for providing a similar-standard correspondence processing procedure.
However, this conventional technology has a problem in that it can not accurately reflect various information for performing work in risk management in consideration of hazardous materials, facilities, and the like. In other words, in the work, the risk is evaluated by considering only the hazardous material, in spite of not only the material and the facility as the work subject but also the worker who performs the work and the working environment greatly influence the occurrence of the accident, It is impossible to prevent and monitor accidents.
Accordingly, the present invention provides a technique for calculating a risk that accurately reflects all the risk factors of an accident occurring in a workplace in calculating a risk in a workplace, thereby providing a work center affected by a combination of human errors and facilities in the workplace The objective is to provide a technique that can accurately predict and monitor my accidents.
In order to achieve the above object, an operation risk calculation method based on a job attribute according to an embodiment of the present invention is characterized in that the operation risk calculation apparatus based on a job attribute includes a step of extracting job attribute information in a job order at the time of receiving a job order ; Selecting accident history data relating to a job type corresponding to the job attribute information among accident history data for each job type previously stored in the database; Predicting an accident result influence on a job type corresponding to the job attribute information; Calling a failure function of a work facility corresponding to the job attribute information among at least one failure function for each work facility previously stored in the database; And calculating an operation risk level by reflecting the accident result effect, the failure function of the work facility, and the work content information of the worker included in the job attribute information, on the accident history data on the operation type .
According to another aspect of the present invention, there is provided an apparatus for calculating a task risk based on a task attribute, the apparatus comprising: a database that stores history data of a previously generated task incident for each task type and stores a failure function for each work facility; Extracting job attribute information in a job order when receiving a job order, selecting accident history data and related to a job type corresponding to the job attribute information from the database, calculating a failure function An information calling part for calling the terminal; A result predicting unit for predicting an accident result influence on a job type corresponding to the job attribute information; And a risk calculation unit for calculating a risk of an operation based on the accident result effect, the failure function of the work facility, and the work content information of the worker included in the job attribute information, on the accident history data about the job type .
According to the present invention, in calculating the risk level of a work site in which a work is performed using a hazardous material and a work facility, information on the worker, information on the accident occurred, information about the work facility , Work environment, etc. are extracted by using work order and accident history information, and risk of accident is calculated based on the information.
This makes it possible to calculate the risk of accident in the workplace more precisely because the worker-centered accident risk can be calculated, and the management of the worker and the prevention and monitoring of the accident can be made in various ways by calculating the accident risk based on the worker .
1 is a flowchart of a task risk calculation method based on a task attribute according to an embodiment of the present invention.
FIG. 2 is a block diagram of an operation risk calculation apparatus based on a job attribute according to an embodiment of the present invention. FIG.
FIG. 3 is an example in which a flow in which a risk assessment is performed according to an embodiment of the present invention is configured for each evaluation element.
4 is an example of a risk variable table according to a job content used for implementation of an embodiment of the present invention.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a method and apparatus for calculating an operation risk based on a job attribute according to an embodiment of the present invention will be described with reference to the accompanying drawings.
The following examples are intended to illustrate the present invention and should not be construed as limiting the scope of the present invention. Accordingly, an equivalent invention performing the same function as the present invention is also within the scope of the present invention.
In addition, in adding reference numerals to the constituent elements of the drawings, it is to be noted that the same constituent elements are denoted by the same reference numerals even though they are shown in different drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.
In describing the components of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are intended to distinguish the constituent elements from other constituent elements, and the terms do not limit the nature, order or order of the constituent elements. When a component is described as being "connected", "coupled", or "connected" to another component, the component may be directly connected to or connected to the other component, It should be understood that an element may be "connected," "coupled," or "connected."
In the embodiments of the present invention, " communication ", " communication network ", and " network " The three terms refer to wired and wireless local area and wide area data transmission and reception networks capable of transmitting and receiving a file between a user terminal, a terminal of another user, and a download server.
In the following description, the term " server " means a server computer accessed by an administrator to access all the functions of the apparatus-based method and apparatus for calculating operational risk based on the operational attributes according to an embodiment of the present invention. If the capacity is small or the number of users is small, a large number of programs can be operated on one server. Also, if the capacity is very large or the number of real-time connections is large, there may be one or more servers for operation depending on the function.
Middleware for the database and servers performing settlement processing may be connected to the server, but a description thereof will be omitted in the present invention.
1 is a flowchart of a task risk calculation method based on a task attribute according to an embodiment of the present invention. The task risk calculation method based on job attributes according to an embodiment of the present invention is performed by each configuration of a task risk calculation apparatus (hereinafter, referred to as apparatus) based on job attributes according to an embodiment of the present invention Will be.
Referring to FIG. 1, in an operation risk calculation method based on a job attribute according to an embodiment of the present invention, when the apparatus receives a job order from an administrator terminal or a database, the apparatus extracts job attribute information in the job order S10).
By default, the work order contains information about the job name, job type, equipment used, working area, number of workers, and working time. The information on the worker includes not only information on the number of workers, but also various pieces of information such as age, gender, experience, and degree of training, as personal information of each worker. The device receives the above information from the database of the work order stored by the terminal of the manager or the terminal of the manager.
When the step S10 is completed, the device performs step S20 of selecting the incident history data related to the operation type corresponding to the operation attribute information (preferably the operation type) among the accident history data for each operation type previously stored in the database .
The accident history data means information of an accident occurring during a predetermined period (for example, five years) stored in an external server including various related organizations such as the Ministry of Environment in case of a major industrial accident.
Incident history data may include information extractable from the above information. For example, information on the cause of the accident, information on the hazardous substances in the event of an accident, information on classification (type) of the work corresponding to the accident in the event of an accident, and information on the frequency of occurrence of each type of work may be included.
Such accident history data is used as information for calculating the basic risk in the present invention. In other words, the basic risk is calculated based on the accident history data, and various information to be described later is used as a parameter factor to reflect the basic risk, thereby finally calculating the risk. Of course, it goes without saying that all methods of calculating the risk by using various information to be described later may be used in addition to this method.
When the step S20 is performed, the device performs step S30 of predicting an accident result effect on the operation type corresponding to the operation attribute information.
Step S30 specifically refers to a process of predicting the result of an accident by using information on a dangerous substance related to a work type, a work area, and a work. For example, based on information on the type and amount of hazardous materials in relation to the type of work and operation, it is possible to predict the types of accidents, such as hazardous material leakage, fire or explosion, . In addition, based on the above information, accident information on the spreading path and range of the dangerous substances leaked in the event of an accident, the fire spread path and range, and the explosion path and range can be predicted. Such accident information can be predicted through various commonly used accident prediction algorithms.
When the step S30 is performed, the apparatus performs a step (S40) of calling a failure function of the work facility included in the job attribute information among at least one failure function for each work facility previously stored in the database.
The failure function of the work facility is a function provided for each work facility. It includes the installation date and the work date of the work facility and the predetermined fault occurrence information according to the operation condition of the work facility and the work facility And the probability of occurrence of failure set as a function value. That is, the failure function of the work equipment will be understood to mean a function for deriving the probability of occurrence of a failure at the work facility in the corresponding work.
When the step S40 is completed, the apparatus performs a process of comprehensively calculating an accident risk based on the values derived from S10 to S40. That is, the apparatus performs a step (S50) of calculating an operation risk level by reflecting an accident result effect, a failure function of the work facility, and work content information of the worker included in the job attribute information to the accident history data about the operation type. Operational risk can be, but is not limited to, the probability of an accident.
On the other hand, the work content information of the worker is information serving as an additive factor to the work risk level. More specifically, the work content information of the worker means information related to an accident occurrence probability at the time of work related to the worker inputted from the manager terminal in relation to the information contained in the work order and other work orders.
For example, in the job content information, the information included in the job ID information includes information on the number of workers, work time, job difficulty, work procedure, equipment used in the work, work environment, work process and supervision degree, , The degree of experience and training of the worker, the suitability of the worker to the work, and the degree of communication between the workers. The information has an option for each information, and a coefficient is provided for each option, and a coefficient is applied for each information corresponding to the selected option, so that it can be reflected in the task risk.
According to this function, when the work is performed in a specific workplace, the environment such as the worker and the work facility is specifically specified instead of the uniform risk assessment, and based on the history data of the accident that has already occurred in the work type , An environment such as a specified worker and a work facility may act as an accident occurrence factor, so that a work risk is comprehensively calculated based on the information.
Thereby, it is possible to calculate a concrete and accurate operation risk based on the operator as compared with the conventional technique, and it is possible to accurately predict and monitor an accident that may occur in the operation by specifying the operation, As shown in Fig.
FIG. 2 is a configuration diagram of a task risk-based task risk calculation apparatus according to an embodiment of the present invention. In the description of FIG. 2, the same elements as those in FIG. 1 will be omitted.
Referring to FIG. 2, a task attribute-based task
As described above, the
The
The
The
FIG. 3 is an example of a flow in which a risk assessment is performed according to an evaluation element according to an embodiment of the present invention.
Referring to FIG. 3, the
In this case, a
As shown in FIG. 3, since the
Figure 4 is an example of a risk variable table according to the task content used for implementation of an embodiment of the present invention.
As described above, the risk variable table 400 shown in FIG. 4 is a factor that is reflected in the above-mentioned calculation of the job risk. As described above, the risk variable table 400 shown in FIG. Work process and supervision level, worker's stress level, worker's experience and training level, suitability for worker's work, and communication level between workers.
For each of the included information, the selection information included in each information exists as the human factor level information so that each coefficient is set, and it can be confirmed that each human factor level information includes the error coefficient. When the error coefficient is selected, the corresponding error coefficient will be reflected in the risk calculation, and the risk will be corrected. As a result, it is possible to calculate the risk due to the operator, that is, the human factor, and it is possible to more accurately manage the risk as described above.
As described above, the functions of the method and apparatus for calculating task risk based on the task attributes according to the embodiment of the present invention can be applied to an application installed in a user terminal (a program included in a platform, And may be executed by an application (i.e., a program) directly installed on a user terminal by a user via an application providing server such as an application store server, an application, or a web server related to the service. In this sense, all functions of the job risk calculation method and device according to the job attribute according to the above-described embodiment of the present invention and the function of the corresponding advertisement interface outputted therefrom are basically installed in the user terminal, (I.e., a program) and recorded on a computer-readable recording medium such as a user terminal.
Such a program may be recorded on a recording medium that can be read by a computer and executed by a computer so that the above-described functions can be executed.
As described above, in order to execute all the functions of the job risk calculation method and the apparatus according to each embodiment of the present invention and the function of the advertisement interface corresponding thereto, the above-mentioned program is executed by a processor (CPU) And may include code that is coded in a computer language such as C, C ++, JAVA, or machine language that can be read.
The code may include a function code related to a function or the like that defines the functions described above and may include an execution procedure related control code necessary for the processor of the computer to execute the functions described above according to a predetermined procedure.
In addition, such code may further include memory reference related code as to what additional information or media needed to cause the processor of the computer to execute the aforementioned functions should be referenced at any location (address) of the internal or external memory of the computer .
In addition, when a processor of a computer needs to communicate with any other computer or server, etc., to perform the above-described functions, the code may be stored in a computer's communication module (e.g., a wired and / ) May be used to further include communication related codes such as how to communicate with any other computer or server in the remote, and what information or media should be transmitted or received during communication.
In addition, a functional program for implementing the present invention, a code and a code segment associated with the functional program, and the like are provided to programmers in the technical field of the present invention in consideration of a system environment of a computer that reads a recording medium and executes a program Lt; RTI ID = 0.0 > and / or < / RTI >
Examples of the computer-readable recording medium on which the above-described program is recorded include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical media storage, and the like.
In addition, the computer-readable recording medium on which the above-described program is recorded may be distributed to a network-connected computer system so that computer-readable codes can be stored and executed in a distributed manner. In this case, one or more of the plurality of distributed computers may execute some of the functions presented above and send the results of the execution to one or more of the other distributed computers, The computer may also perform some of the functions described above and provide the results to other distributed computers as well.
In particular, a computer-readable recording medium having recorded thereon an application, which is a program for executing all functions of the apparatus and method for calculating operational risk based on job attributes according to each embodiment of the present invention, , A storage medium (e.g., a hard disk, etc.) included in an application provider server such as a web server related to the application or the service, or an application providing server itself .
The computer readable recording medium on which all functions of the apparatus-based operation risk calculation method and apparatus according to each embodiment of the present invention and the application, which is a program for executing functions of the corresponding advertisement interface, are recorded, A mobile terminal such as a smart phone, a tablet PC, a PDA (Personal Digital Assistants), and a mobile communication terminal, as well as a general PC such as a desktop or a notebook computer. In addition, .
Also, a computer capable of reading a recording medium on which an application, which is a program for executing all the functions of the apparatus and the function of the advertisement interface, corresponding to the method of calculating the operation risk based on the job attribute according to the embodiment of the present invention, In the case of a mobile terminal such as a phone, a tablet PC, a PDA (Personal Digital Assistants) and a mobile communication terminal, the application may be downloaded from the application providing server to a general PC and installed in the mobile terminal through a synchronization program.
While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. That is, within the scope of the present invention, all of the components may be selectively coupled to one or more of them. In addition, although all of the components may be implemented as one independent hardware, some or all of the components may be selectively combined to perform a part or all of the functions in one or a plurality of hardware. As shown in FIG. The codes and code segments constituting the computer program may be easily deduced by those skilled in the art. Such a computer program is stored in a computer-readable storage medium, readable and executed by a computer, thereby realizing an embodiment of the present invention. As a storage medium of the computer program, a magnetic recording medium, an optical recording medium, or the like can be included.
It is also to be understood that the terms such as " comprises, " " comprising, " or " having ", as used herein, mean that a component can be implanted unless specifically stated to the contrary. But should be construed as including other elements. All terms, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Commonly used terms, such as predefined terms, should be interpreted to be consistent with the contextual meanings of the related art, and are not to be construed as ideal or overly formal, unless expressly defined to the contrary.
The foregoing description is merely illustrative of the technical idea of the present invention and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the scope of the present invention but to limit the scope of the technical idea of the present invention. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.
Claims (6)
Extracting job attribute information in a job order when receiving a job order;
Selecting accident history data relating to a job type corresponding to the job attribute information among accident history data for each job type previously stored in the database;
Predicting an accident result influence on a job type corresponding to the job attribute information;
Calling a failure function of a work facility corresponding to the job attribute information among at least one failure function for each work facility previously stored in the database; And
And calculating a risk of an operation by reflecting an accident result effect, a failure function of the work facility, and work content information of an operator included in the job attribute information to the accident history data about the job type, A method of calculating a task risk based on a task attribute.
The incident history data for each operation type is,
Wherein the information includes accident information, accident hazard information, job classification information corresponding to an accident, and accident frequency information for each job type, A method for calculating operational risk based on.
The work content information includes:
The information included in the job order and the information inputted from the administrator terminal with respect to the job order include information such as the number of workers, the working time, the degree of difficulty, the work procedure, the equipment used in the work, the work environment, Wherein the information includes information on the degree of stress, the experience and the degree of training of the worker, the aptitude to the worker, and the degree of communication between the worker.
The failure function of the work equipment includes:
Wherein a function occurrence probability based on a setting date, a work date of the work facility, an operation condition of the work facility, and a failure occurrence tendency information that is set based on predetermined failure occurrence tendency information for each work facility is set as a function value Way.
The step of predicting the accident result effect comprises:
Based on the information included in the work order, predicting the effect of the accident result generated in the work using the hazardous material information, the work equipment information, and the work area information included in the work, How to calculate the risk.
Extracting job attribute information in a job order upon receiving a job order, selecting accident history data relating to the job type corresponding to the job attribute information from the database, determining a failure function of the work facility corresponding to the job attribute information A calling information calling unit;
A result predicting unit for predicting an accident result influence on a job type corresponding to the job attribute information; And
And a risk calculation unit for calculating a risk of an operation based on the accident result effect, the failure function of the work facility, and the work content of the worker included in the job attribute information, on the accident history data about the job type A task attribute calculation device based on a task attribute.
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| KR1020150098127A KR20170006843A (en) | 2015-07-10 | 2015-07-10 | Method and apparatus for calculating work hazard based on work properties |
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| KR1020150098127A KR20170006843A (en) | 2015-07-10 | 2015-07-10 | Method and apparatus for calculating work hazard based on work properties |
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| CN107240179A (en) * | 2017-06-08 | 2017-10-10 | 电子科技大学 | A kind of base station Intelligent entrance guard management system |
| KR20190040848A (en) * | 2017-10-11 | 2019-04-19 | 양경옥 | Method and Apparatus for Safety Information Generation by Reading Schedule Bar Charts in Construction and Industrial Project |
| KR20190053971A (en) * | 2017-02-15 | 2019-05-20 | 미쓰비시 덴키 빌딩 테크노 서비스 가부시키 가이샤 | Alarm system |
| KR20190082987A (en) * | 2017-02-15 | 2019-07-10 | 미쓰비시 덴키 빌딩 테크노 서비스 가부시키 가이샤 | Organization support device |
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| CN112101688A (en) * | 2019-06-17 | 2020-12-18 | 北京科技大学 | Method and apparatus for controlling risk of high temperature molten metal operation |
| KR102496668B1 (en) * | 2021-11-23 | 2023-02-06 | 차유미 | Smart safety management and safety accident prediction method and system |
| CN115496372A (en) * | 2022-09-26 | 2022-12-20 | 广东顺峰智慧能源研究院有限公司 | Charging system safety risk prediction method, device, equipment and readable storage medium |
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