System for predicting and managing radiation dose

Abstract

The present invention relates to a system for predicting and managing radiation dose and, more specifically, to a system for predicting and managing radiation dose, wherein a simulation can be implemented in advance by modeling a work site and a worker and reflecting the work site and the worker in a scenario so that the radiation dose of the worker during radiation work in a nuclear power plant can be predicted before the work is begun.

Description

Radiation exposure prediction and management system

[0001] The present invention relates to a radiation exposure prediction and management system, and more particularly, to a radiation exposure prediction and management system that enables a simulation to be implemented in advance by modeling a work site and workers and reflecting them in a scenario so that the radiation exposure of workers in radiation work at a nuclear power plant can be predicted in advance before work.

[0002] It is required to establish a system for ALARA analysis and work management (including education and training) to optimize worker exposure dose.

[0003] To prevent safety and efficiency degradation, such as causing unnecessary radiation exposure to workers, work plans based on time, resources, and workspace must be established.

[0004]

[0005] Currently, some programs have been developed to calculate radiation exposure in 3D for workers working at nuclear power plants. However, real-time assessment is impossible and the calculation accuracy is low. Therefore, the applicant has developed a VR-based radiation exposure prediction and diagnostic technology.

[0006]

[0007] Referring to the regulatory standards and guidelines for light-water reactors, the ALARA program: Regarding the ALARA evaluation and feedback items, the applicant must have a system to evaluate ALARA performance periodically and after performing special tasks and reflect the results in subsequent operations, and the evaluation results must be kept in records (Section 3.11.2).

[0008] In establishing a radiation protection plan, the operator must establish a radiation protection plan to ensure that all activities involving radiation exposure during the operational phase are performed based on the principle of radiation protection optimization and that radiation-related work is planned, supervised, executed, and evaluated so that the protection objectives can be achieved (Section 13.4).

[0009] In addition, in order to ensure that exposure optimization is achieved for all activities involving radiation exposure to radiation workers in dose assessment, methods and procedures for evaluating individual and collective doses of radiation workers and resident exposure doses must be secured, and a system must be established to reflect the results of dose assessment in facility design, operation, equipment improvement, etc. (Section 13.5.3).

[0010]

[0011] Meanwhile, Patent Publication No. 10-2374161 describes a radiation dose measurement simulation device and method.

[0012] The above technology includes a virtual work zone generation unit that generates a virtual work zone corresponding to a work zone of a radiation facility; and a radiation dose prediction unit that predicts the radiation dose of a worker located in the virtual work zone; wherein the radiation dose prediction unit includes a database unit that includes first data on the spatial dose rate of the radiation facility and second data on the location of a source of the radiation facility, and a first radiation dose calculation unit that calculates the radiation dose of the worker located in the virtual work zone using the first data and the second data.

[0013]

[0014] In addition, Patent Publication No. 10-2157702 describes a method and device for simulating maintenance work on a nuclear reactor in a nuclear power plant.

[0015] The above technology may include a step in which, when characteristic information of an actual nuclear power facility is input, the actual nuclear power facility is modeled by a modeling unit of the simulation device based on the input, a step in which an input for one work environment selected from among a plurality of work environments related to the nuclear power facility is received by an input receiving unit of the simulation device, a step in which a work simulation for the input work environment is performed by the simulation unit of the simulation device based on the characteristic information of the modeled nuclear power facility and the actual nuclear power facility, and a step in which a work time for the input work environment and an exposure dose due to the selected work environment are calculated by a calculation unit of the simulation device through the work simulation.

[0016] The purpose of the present invention is to provide a radiation dose prediction and management system, and more specifically, to provide a radiation dose prediction and management system that enables a simulation to be implemented in advance by modeling a work site and workers and reflecting them in a scenario so that the radiation dose of workers in radiation work at a nuclear power plant can be predicted in advance before work.

[0017] The radiation dose prediction and management system according to the present invention for achieving the above purpose is a radiation dose prediction and management system that collects simulation data generated from a radiation dose prediction program through a server side and outputs the results.

[0018] The above radiation dose prediction program is,

[0019] A plant information storage unit containing information on nuclear power plants;

[0020] A radiation source information storage unit that stores information on radiation sources;

[0021] A 3D model information storage unit that converts plant information and radiation source information into 3D model information and stores it;

[0022] A task information storage unit that stores the task scenario as information;

[0023] A simulation unit that receives 3D model information and performs simulation based on the work information;

[0024] A simulation viewer that outputs the simulation performed through the above simulation section so that it can be viewed through a terminal;

[0025] It is characterized by including a document management unit that generates a result report of a simulation performed through the above simulation unit.

[0026]

[0027] At this time, the above radiation dose prediction program,

[0028] After requesting the creation of a simulation, the work information is received and stored from the radiation dose prediction and management system.

[0029] The simulation department determines whether the simulation has been previously predicted based on the received work information.

[0030] If it is a previously performed simulation, it determines whether the input variables in the task information are the same. If they are the same, the previous simulation information is used. If they are not the same, a scenario reflecting the input variables is created.

[0031] If it is a simulation that has not been performed before, a scenario is created by reflecting the received work information in the 3D model information based on plant information and radiation source information.

[0032] It is characterized by performing simulations according to scenarios and outputting prediction results according to the simulation results.

[0033] According to the radiation dose prediction and management system according to the present invention, it is possible to predict the radiation dose before performing radiation work at a nuclear power plant and establish a work plan, thereby reducing unnecessary radiation exposure of workers.

[0034]

[0035] In addition, the present invention can contribute to reviewing prediction results in real time, minimizing radiation exposure during work, and improving radiation protection plan establishment and radiation exposure assessment procedures, thereby contributing to increasing the safety and efficiency of radiation work.

[0036] Figure 1 is a block diagram showing a radiation dose prediction and management system according to the present invention.

[0037] Figure 2 is a flowchart showing the operation flow of the radiation dose prediction and management system according to the present invention.

[0038] Figure 3 is a flowchart showing the process of implementing a radiation dose prediction program among the operation flow of the radiation dose prediction and management system of the present invention.

[0039] Terms or words used in this specification and claims should not be interpreted as limited to their usual or dictionary meanings, but should be interpreted as meanings and concepts that conform to the technical spirit of the present invention, based on the principle that the inventor can appropriately define the concept of the term to best explain his or her own invention.

[0040]

[0041] Therefore, the embodiments described in this specification and the configurations illustrated in the drawings are only the most preferred embodiments of the present invention and do not represent all of the technical ideas of the present invention. Therefore, it should be understood that there may be various equivalents and modified examples that can replace them at the time of filing this application.

[0042]

[0043] Hereinafter, before explaining with reference to the drawings, it is to be noted that matters that are not necessary to reveal the gist of the present invention, that is, known configurations that can be obviously added by a person skilled in the art with ordinary knowledge, are not illustrated or specifically described.

[0044]

[0045] The present invention relates to a radiation exposure prediction and management system, and more particularly, to a radiation exposure prediction and management system that enables a simulation to be implemented in advance by modeling a work site and workers and reflecting them in a scenario so that the radiation exposure of workers in radiation work at a nuclear power plant can be predicted in advance before work.

[0046]

[0047] FIG. 1 is a block diagram illustrating a radiation dose prediction and management system according to the present invention, FIG. 2 is a flowchart illustrating the operation flow of the radiation dose prediction and management system according to the present invention, and FIG. 3 is a flowchart illustrating the process of implementing a radiation dose prediction program among the operation flow of the radiation dose prediction and management system of the present invention.

[0048]

[0049] The radiation dose prediction and management system according to the present invention is defined as a system that collects data generated from a radiation dose prediction program through a server side and can view the results, as shown in Fig. 1 of the attached drawing.

[0050] At this time, the radiation dose prediction program includes a plant information storage unit having information on a nuclear power plant; a radiation source information storage unit storing information on a radiation source; a 3D model information storage unit converting plant information and radiation source information into 3D model information and storing it; a work information storage unit storing a scenario for work as information; a simulation unit inputting 3D model information and performing a simulation based on the work information; a simulation viewer outputting a simulation performed through the simulation unit so that the simulation can be viewed through a terminal; and a document management unit generating a result report of the simulation performed through the simulation unit.

[0051] At this time, since various techniques for performing simulations based on the information already provided are known, a detailed description will be omitted.

[0052]

[0053] In addition, performing a simulation through the above simulation unit can be done with reference to Fig. 2 of the attached drawing. That is, the driving example explained with reference to Fig. 2 functions in the simulation unit and can be configured as needed.

[0054]

[0055] First, when a simulation creation request is made, task information is received and stored from the radiation dose prediction and management system. The simulation unit then determines whether the simulation has previously been predicted based on the received task information. This determination can be based on the task information.

[0056] At this time, if there is a previously performed simulation history, the simulation unit determines whether the input variables of the work information are completely identical, and if they are identical, it utilizes the previous simulation information. However, if the input variables are different, it creates a scenario that reflects the input variables.

[0057]

[0058] Additionally, if it is not a previously performed simulation, prepare to create a simulation, create a scenario based on the received work information, and apply 3D model information that 3D models the plant information and radiation source information.

[0059] And, by implementing a radiation dose prediction program, simulation is performed and prediction results based on the simulation results are output.

[0060]

[0061] At this time, the implementation of the radiation exposure prediction program can be referred to Fig. 3 of the attached drawing. According to Fig. 3 of the attached drawing, in order to perform a 3D simulation, 3D model information is imported, radiation source information is imported, radiation source information is placed in plant information, and a route and action according to the work information are created, and then a simulation is performed to create a report.

[0062]

[0063] Meanwhile, the server-side primarily refers to code and tasks running on backend systems or servers. This includes interacting with clients, communicating with databases, and processing business logic. Server-side code defines API endpoints and is used to receive and process requests for those endpoints. Because these server-side components are composed of code, they are difficult to access and manage. Therefore, the Swagger tool facilitates API documentation. It can verify all endpoints, send requests, and receive responses to test operational endpoints.

[0064]

[0065] These server-side APIs are largely organized into Measurements, Models, and Projects groups, and are organized to allow for easy checking of API documentation, including Schema, Operation, Response, and Parameter information for each API Method.

[0066] HTTP Method is a method of transmitting request and response data between a client and a server. The API was constructed using GET (resource search), POST (request data processing), PUT (resource replacement), and DELETE (resource deletion). The constructed server-side API is as shown in the table below.

[0067]

[0068] Table 1 shows the server side for measurement, Table 2 shows the server side for modeling information, and Table 3 shows the server side for simulation.

[0069]

[0070] NoHTTP MethodFunctionDescription1postmeasurementsAdd measurements2postmeasurementpointsAdd measurement points3deletemeasurements / {id}Delete measurements with the passed ID4getmeasurements / latestReturn a list of the latest measurements for a room5getmeasurements / {id}Retrieve measurements by ID6getmeasurementpoints / {id}Retrieve measurement points by ID7getmeasurementpointsRetrieve all measurement points8getmeasurementsReturn a list of measurements for a room within a time interval9gettestTest connection to the measurements DB

[0071] NoHTTP MethodFunctionDescription1postcategoriesDescription2postmodelsAdd a category3postmodelattributes / {id}Add a model4postmodels / packageAdd a model attribute for the corresponding id5getcategories / structureAdd a model package6deletecategories / {id}Query the category structure7deletemodels / {id}Delete a category for the corresponding id8getitems / {id} / exportDelete a model for the corresponding id9getmodels / {id} / exportExport an item for the corresponding id10getmodels / {id} / exportpackageExport a model for the corresponding id11getmodels / properties / getExport a model package for the corresponding id12getcategories / {id}Query a model with a specific attribute value set13getmodels / {id}Query a category for the corresponding id14getmodelattributes / {id}Query a model for the corresponding id15getmodels / {id} / iconurlQuery a model attribute Query 16getitems / {id} / modelidQuery the URL for the model icon 17getmodels / {id} / resourceinfoQuery the model ID 18getmodels / {id} / modelurlQuery the model resource information 19getmodelsQuery the model URL 20postcategories / {id} / pathQuery the model list 21postcategories / {id} / categoryidChange the model category 22putmodels / {id} / propertiesChange the name of the passed category 23gettestChange the model's properties

[0072] NoHTTP MethodFunctionDescription1postprojectsAdd a project2postscenariodataAdd scenario data3deleteprojects / {id}Delete a project with the given ID4deletescenariodata / {id}Delete scenario data with the given ID5getprojects / {id} / exportExport a project with the given ID6getprojects / properties / getGet project information with a given property value7getscenariodata / properties / getGet scenario data with a given property value8getprojects / defaultGet default project9getscenariodata / {id} / dosemapsGet dose maps for a scenario10getprojects / {id}Get projects by ID11getprojectsGet a list of projects12getscenariodata / {id} / scenarioGet scenario XML13getscenariodata / {id}Get scenario data for the given ID14getscenariodataList of scenario data Query 15getscenariodata / {id} / workplanQuery the work plan for a scenario 16postscenariodata / {id} / projectIdChange scenario data to another project 17postscenariodata / {id} / dosemapsSet the dose maps for a scenario 18putprojects / {id} / propertiesSet properties for a project 19putscenariodata / {id} / propertiesSet properties for a scenario 20postscenariodata / {id} / statusSet the status of a scenario 21gettestTest the connection to the project DB 22postprojects / {id}Update a project 23postscenariodata / {id}Update scenario data

[0073] Additionally, the input variables described above may mean any variables that are obvious to a person skilled in the art, but may also be as follows as an example.

[0074] For example, worker information can be included as additional variable information. In addition to personal information, worker information includes information for managing radiation exposure during work simulations in radiation areas, such as the worker's annual exposure, cumulative exposure, and working hours. In other words, the safety of workers scheduled to work in radiation areas is assessed and stored as information. Furthermore, worker information can store information on a specific worker's typical work hours and exposure.

[0075] Therefore, when performing a simulation, the evaluation value of the pre-saved evaluation information can be applied to the assigned worker. For example, if the accumulated radiation exposure of the scheduled worker is high, the radiation exposure can be reflected in the simulation to minimize it. In addition, if there is a usual average working time in the information indicating the working time, the average working time can be reflected based on this during the simulation and the simulation can be performed to derive realistic results similar to the actual working time.

[0076]

[0077] According to the radiation dose prediction and management system according to the present invention configured as described above, it is possible to predict the radiation dose before performing radiation work in a nuclear power plant and establish a work plan, thereby reducing unnecessary radiation exposure of workers.

[0078] In addition, the present invention can contribute to reviewing prediction results in real time, minimizing radiation exposure during work, and improving radiation protection plan establishment and radiation exposure assessment procedures, thereby contributing to increasing the safety and efficiency of radiation work.

[0079]

[0080] The description using the drawings above only describes the main aspects of the present invention, and it is obvious that the present invention is not limited to the configuration of the drawings, as various designs are possible within the technical scope.

Claims

1. A radiation dose prediction and management system that collects simulation data generated from a radiation dose prediction program through the server side and outputs the results. The above radiation dose prediction program is, A plant information storage unit containing information on nuclear power plants; A radiation source information storage unit that stores information on radiation sources; A 3D model information storage unit that converts plant information and radiation source information into 3D model information and stores it; A task information storage unit that stores the task scenario as information; A simulation unit that receives 3D model information and performs simulation based on the work information; A simulation viewer that outputs the simulation performed through the above simulation section so that it can be viewed through a terminal; A radiation dose prediction and management system, characterized in that it includes a document management unit that generates a result report of a simulation performed through the above simulation unit.

2. In claim 1, The above radiation dose prediction program is, After requesting the creation of a simulation, the work information is received and stored from the radiation dose prediction and management system. The simulation department determines whether the simulation has been previously predicted based on the received work information. If it is a previously performed simulation, it determines whether the input variables in the task information are the same. If they are the same, the previous simulation information is used. If they are not the same, a scenario reflecting the input variables is created. If it is a simulation that has not been performed before, a scenario is created by reflecting the received work information in the 3D model information based on plant information and radiation source information. A radiation dose prediction and management system characterized by performing simulations according to scenarios and outputting prediction results according to the simulation results.

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