Visual radiation field model of nuclear decommissioning equipment and construction method

Abstract

The invention relates to a visual radiation field model of nuclear decommissioning equipment and a construction method, the radiation field model is associated with nuclear facilities planned to be dismantled in a decommissioning planning system, and radiation distribution data of the radiation field model is associated with space coordinates of a three-dimensional scene model. The radiation field model and the three-dimensional scene model are in one-to-one correspondence; a user of the decommissioning planning system rotates and / or sectioning the radiation field model, so that the dose intensity of the radiation field can be observed from different angles and different depths, the visual radiation field is displayed, and the user can more clearly check dose distribution conditions of different heights and different angle positions.

Description

[0001] The original basis of this divisional application is a patent application with application number (202111514223.6), application date 2021.12.10, and invention name “A method for planning the disassembly and assembly sequence of equipment for nuclear decommissioning”. Technical Field

[0002] The present invention relates to the field of radiation protection technology, and in particular to a visualized radiation field model of nuclear decommissioning equipment and a construction method thereof. Background Art

[0003] At present, the world's energy demand is growing, and countries including my country are vigorously promoting clean energy. Among them, nuclear energy, as a high-efficiency and pollution-free energy supply method, is being adopted by more and more countries. my country's nuclear power has become a national business card, and the construction of domestic nuclear power plants is in full swing.

[0004] Nuclear power plants and related nuclear facilities contain radioactivity, which poses a potential hazard to humans and the environment. When working in a radiation environment, including maintenance of equipment and facilities, and dismantling processes in nuclear facility decommissioning projects, the first thing to consider is the safety and accessibility (operability) requirements of working in a radiation environment, and real-time attention to the radiation dose of personnel. Due to the complexity of the radiation environment, the differences in the decay characteristics of different locations and types of nuclides, and the superposition of the spatial distribution of nuclides, the radiation doses at different locations in the scene vary greatly. Therefore, the immediate and cumulative doses borne by equipment and personnel in the radiation field are very complex.

[0005] The Chinese patent application with publication number CN110348065A discloses a universal nuclear facility decommissioning engineering simulation system and method, which belongs to the field of nuclear facility decommissioning engineering technology; the system includes a simulation module, an intelligent evaluation and decision module; the simulation module is used to simulate the dynamic decommissioning operation process based on the virtual model of the nuclear facility, and collect key data in each simulated decommissioning operation process; the intelligent evaluation and decision module is used to evaluate each simulated decommissioning operation process in combination with the key data, and formulate the best decommissioning operation process. By setting up a simulation platform for the complete simulation of the decommissioning operation process, the decommissioning operation process can be accurately simulated, and by analyzing and evaluating multiple decommissioning operation processes to formulate the best decommissioning operation process; it helps operators to become familiar with the procedures and processes of the decommissioning operation and quickly enter the working state; it is suitable for decommissioning simulation of different nuclear facilities.

[0006] The Chinese patent application with publication number CN112906227A discloses a nuclear decommissioning virtual simulation system in a radiation environment, including scene configuration, model conversion, radiation field visualization, and nuclear decommissioning simulation; the scene configuration is to configure the operation scene to construct a three-dimensional scene of the nuclear decommissioning process; the model conversion is to optimize the mesh of the three-dimensional scene, lightweight the three-dimensional scene, and render the three-dimensional scene; the radiation field visualization is to compare the radiation data imported from the outside with the three-dimensional scene data, and visualize the three-dimensional radiation distribution state after rendering calculation, and can edit the radiation distribution; the nuclear decommissioning simulation is to refer to the standard nuclear decommissioning operation process to deduce the decommissioning operation process; to test the feasibility of the decommissioning plan and the personnel dose assessment. The system of the present invention verifies the applicability of the decommissioning process technology route and special technology, thereby ensuring the feasibility, safety and effectiveness of the decommissioning process route.

[0007] However, there are obvious defects in the existing technology for nuclear decommissioning planning, especially the lack of effective consideration of various influencing factors in nuclear decommissioning operations in simulation technology, which makes the planned implementation plan lack the nature of comprehensive consideration and difficult to be truly and effectively applied to nuclear decommissioning operations. At the same time, it will cause safety hazards to nuclear decommissioning workers and nuclear facilities to be operated.

[0008] In addition, on the one hand, there are differences in understanding among those skilled in the art; on the other hand, the applicant studied a large number of documents and patents when making the present invention, but due to space limitations, not all details and contents are listed in detail. However, this does not mean that the present invention does not have the characteristics of these prior arts. On the contrary, the present invention already has all the characteristics of the prior art, and the applicant reserves the right to add relevant prior art to the background technology. Summary of the invention

[0009] In view of the deficiencies of the prior art, the present invention provides a method for planning the equipment disassembly and assembly sequence for nuclear decommissioning, which utilizes a decommissioning planning system, wherein the decommissioning planning system is used to plan the equipment disassembly and assembly sequence during the decommissioning of nuclear facilities.

[0010] The planning approach includes:

[0011] Obtain the constraints between the basic influencing factors and calculate the first equipment disassembly and assembly sequence plan that meets the basic disassembly and assembly needs based on the genetic algorithm, introduce specific influencing factors and calculate the second equipment disassembly and assembly sequence plan that meets the specific disassembly and assembly needs based on the first equipment disassembly and assembly sequence plan through the genetic algorithm.

[0012] According to a preferred embodiment, the method for obtaining the constraint conditions between the basic influencing factors and calculating the first equipment disassembly and assembly sequence planning that meets the basic disassembly and assembly requirements based on the genetic algorithm comprises the following steps:

[0013] At least four basic influencing factors are introduced and assigned corresponding weight coefficients. A logical variable δ is introduced to describe the logical constraints between the weight coefficients. The logical variable δ is applied to the weight coefficients to calculate the constraint relationship between the weight coefficients. The weight coefficients and the constraint relationship are used as input judgment, and the optimal first equipment disassembly and assembly sequence planning is calculated based on the genetic algorithm.

[0014] According to a preferred embodiment, a method for introducing specific influencing factors and calculating a second equipment disassembly and assembly sequence plan that meets specific disassembly and assembly needs through a genetic algorithm based on the first equipment disassembly and assembly sequence plan introduces specific influencing factors, which are used to describe the specific structural characteristics of the nuclear facility and the corresponding radiation characteristics.

[0015] The planning approach includes the following steps:

[0016] On the basis of the first equipment assembly and disassembly sequence planning, several variables for describing specific influencing factors are introduced, and the second equipment assembly and disassembly sequence planning is further calculated based on the genetic algorithm.

[0017] According to a preferred embodiment, a pre-set three-dimensional scene model and a radiation field model are stored in the decommissioning planning system, wherein the three-dimensional scene model is used to provide structural model support for decommissioning and disassembly sequence planning, and wherein the radiation field model is used to provide radiation model support for decommissioning and disassembly sequence planning.

[0018] The planning approach includes the following steps:

[0019] Before executing the equipment disassembly and assembly sequence planning, the dismantling list and plan documents are imported into the decommissioning planning system. The decommissioning planning system is used to associate the nuclear facilities to be dismantled with the three-dimensional scene model and radiation field model to simulate the disassembly and assembly sequence planning scheme.

[0020] According to a preferred embodiment, the planning method includes constructing a radiation field model based on radiation distribution data, wherein the radiation distribution data is obtained by measurement, and the measurement method includes the following steps:

[0021] Based on the spatial points planned for measurement in the radiation environment, the radiation distribution of the spatial points is measured to obtain initial radiation distribution data, and based on the initial radiation distribution data, the data of the unmeasured parts are simulated and supplemented to obtain the global radiation distribution data.

[0022] According to a preferred embodiment, the construction of the radiation field model includes the following steps:

[0023] A three-dimensional space coordinate system is established, radiation distribution data is introduced and associated with the three-dimensional space coordinates, the absorption dose rate of human tissue to various types of rays is introduced, and a functional relationship between the absorption dose rate and the three-dimensional space coordinate system is established. The radiation field model at the current moment is corrected according to the radiation source data, the radiation field model is associated with the three-dimensional scene model, and is output to the user in an editable manner.

[0024] Preferably, the dose calculation method is to utilize the retirement planning system to implement GPU acceleration technology to achieve real-time dose and cumulative dose calculation at the human organ level.

[0025] According to a preferred embodiment, the method for dose calculation comprises the following steps:

[0026] Establish the functional relationship between absorbed dose and time and space: The radiation weight factors of different types of rays are introduced and the average absorbed dose is summed to obtain the equivalent dose of the organ. The organ weight factor is introduced and the dose equivalent of each organ is summed to obtain the total effective dose of the human body. The differential time dt is taken to obtain the total real-time dose of the human body. The real-time dose is integrated in the time domain to obtain the cumulative dose of the human body.

[0027] According to a preferred embodiment, a method for planning the equipment disassembly and assembly sequence for nuclear decommissioning is provided, which divides the radiation field into a Class I radiation field that allows manual operation and a Class II radiation field that allows robot operation according to the type of radiation source and its activity, wherein the method for planning the equipment disassembly and assembly sequence in the Class I radiation field is determined based on the time consumption of manual operation and the allowable dose, and wherein the method for planning the equipment disassembly and assembly sequence in the Class II radiation field is determined based on the time consumption of robot operation and the allowable dose.

[0028] The above planning method can plan a disassembly and assembly plan that conforms to the manual operation sequence and robot operation based on Class I radiation field and Class II radiation field. At the same time, it can plan the disassembly and assembly plan based on the coexistence of Class I and Class II radiation fields and combine manual operation and robot operation to implement the disassembly and assembly plan, so as to meet the principle of optimization of radiation protection in different scenarios.

[0029] Beneficial technical effects of the present invention: The present invention is a method for planning equipment disassembly and assembly sequence for nuclear decommissioning based on genetic algorithms. The method can provide an optimal first equipment disassembly and assembly sequence plan based on the weight coefficients of the basic influencing factors (cost, dose limit, safety, efficiency) introduced in the present invention in the planning and the constraint relationship between them through genetic algorithms. At the same time, the present invention also introduces specific influencing factors (type of nuclear facility, type of radiation source in the nuclear facility, activity of radiation source) and performs further calculations based on the first equipment disassembly and assembly sequence plan to provide a more specific second disassembly and assembly sequence plan, so as to separately consider disassembly and assembly operations not involving reactors and disassembly and assembly operations involving reactors in the disassembly and assembly of nuclear facilities, thereby enhancing the safety of operating personnel and optimizing the cost expenditure of implementing decommissioning operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the constraint relationship of the basic influencing factors of a preferred implementation mode provided by the present invention. DETAILED DESCRIPTION

[0031] The following is a detailed description with reference to the accompanying drawings.

[0032] Example 1

[0033] According to a preferred embodiment, before executing the nuclear facility decommissioning work plan, the dismantling list of the nuclear facility and the planning documents of the decommissioning related work (such as Project format, P6 format, etc.) are first obtained, and the dismantling list and the planning documents are imported into the decommissioning planning system. Preferably, the decommissioning planning system can associate the nuclear facility planned to be dismantled with the three-dimensional scene model and the radiation field model pre-stored in the system. Preferably, the association includes object association and coordinate association, that is, the coordinates of the nuclear facility planned to be dismantled and its own structural characteristics are uniquely determined in the three-dimensional scene model and the radiation field model.

[0034] According to a preferred embodiment, the decommissioning planning system can perform equipment disassembly and assembly sequence planning based on the attributes of the nuclear facility to be decommissioned determined by the three-dimensional scene. Preferably, the equipment disassembly and assembly sequence planning is configured to be able to perform optimal disassembly and assembly sequence planning using genetic algorithms through the constraints of each work task in the equipment disassembly and assembly sequence plan and related resources, and to optimize the nuclear decommissioning process simulation scheme based on the principle of radiation protection optimization. Preferably, the constraints include weight coefficients and constraint relationships, wherein the weight coefficients are used to represent the degree of influence of the influencing factors on the equipment disassembly and assembly sequence planning, and the constraint relationships represent the correlation characteristics between the various influencing factors.

[0035] According to a preferred embodiment, before implementing the equipment disassembly and assembly sequence planning, it is necessary to first constrain the work tasks. Preferably, the constraints include the following basic influencing factors: cost, dose limit (including human body and robot), and safety (safety issues in disassembly and assembly operations).

[0036] According to a preferred embodiment, when implementing the equipment disassembly and assembly sequence planning, it is necessary to give priority to the basic influencing factors (cost C, dose limit X, safety S, efficiency E) to plan the first equipment disassembly and assembly sequence planning that meets the basic disassembly and assembly needs, and provide a basic basis for the subsequent more specific disassembly and assembly sequence planning. Preferably, the basic disassembly and assembly needs are defined as the disassembly and assembly operations in the nuclear facility that do not involve the reactor. Preferably, the above four influencing factors are non-independent factors, that is, there is a correlation between each influencing factor. Before considering the correlation, each influencing factor can be assigned a corresponding weight coefficient: k1, k2, k3, k4, where k1 acts on C, k2 acts on X, k3 acts on S, and k4 acts on E. Preferably, the above four influencing factors assigned with weight coefficients are incorporated into the decommissioning planning model for nuclear decommissioning and disassembly sequence planning. Preferably, the correlation characteristics of the above four influencing factors are transferred to the weight coefficients, thereby converting complex correlation problems into correlation problems of weight coefficients.

[0037] According to a preferred embodiment, a logical variable δ is introduced to describe the logical constraints between the various weight coefficients, and the correlation characteristics between the weight coefficients are calculated based on the logical variable δ, wherein the logical variable represents the logical relationship between one influencing factor and another influencing factor and the degree of their influence. For example, the dose limit X will partially affect the efficiency E, then δk2=k4-W, wherein W is the result of the action of other influencing factors. Preferably, according to the principle of optimization of radiation protection, it is necessary to keep the irradiation dose as small as possible. Therefore, preferably, the dose limit X is configured as a basic variable independent of the other three influencing factors. Preferably, as Figure 1As shown, based on the weight coefficient k2 of the dose limit X, the relationship between it and the weight coefficient k3 of safety S is obtained: δ1k2=k3-Q; the relationship between it and the weight coefficient k1 of cost C is: δ2k2=k1-R; the relationship between it and the weight coefficient k4 of efficiency E is: δ3k2=k4-W; wherein Q, W, and R all represent the results of other influencing factors. Preferably, there is also a correlation between k1, k3, and k4, and preferably, it can be expressed as: δ3k3+δ4k1=W, δ5k3+δ6k4=R, δ7k1+δ8k4=Q, wherein δ3=1 / δ8, δ4=1 / δ6, and δ5=1 / δ7. Preferably, according to the above relationship, the relationship between k1, k2, k3, and k4 can be obtained, in which only the logical variable δ exists. Preferably, k1, k2, k3, and k4 also satisfy the normalization condition, that is, k1+k2+k3+k4=1. Preferably, on the basis of determining the logical variable δ of each part, the above relationship can be used to determine the weight coefficients of cost C, dose limit X, safety S, and efficiency E, as well as the constraint relationship between the weight coefficients.

[0038] According to a preferred embodiment, the decommissioning planning system can calculate the nuclear facility decommissioning and disassembly sequence planning scheme based on its own genetic algorithm, taking weight coefficients and constraint relationships as input judgments, and obtain the optimal first equipment disassembly sequence planning.

[0039] According to a preferred embodiment, in addition to the basic influencing factors, specific influencing factors need to be introduced. Preferably, the specific influencing factors are used to describe the specific structural characteristics and corresponding radiation characteristics of the nuclear facility, so that more specific further planning can be performed on the basis of the first equipment disassembly and assembly sequence planning calculated by the basic influencing factors. Preferably, the specific influencing factors include: the type of nuclear facility, the type of radioactive source in the nuclear facility, and the activity of the radioactive source. Preferably, the types of nuclear facilities can be divided into nuclear facilities for power generation, nuclear facilities for research, and nuclear facilities for weapons. Different nuclear facilities have different structures due to their different uses, and different technical solutions should be given. Preferably, the types of radioactive sources can be divided into α, β, γ and neutron sources, etc. For different radioactive sources, corresponding protection solutions need to be given to operators to meet the principle of optimization of radiation protection. Preferably, the activity of the radioactive source directly affects the safety status of the operators. For low-activity radioactive sources, the disassembly and assembly can be directly carried out by the operators. For high-activity radioactive sources, industrial robots need to be used to participate in the operation of dangerous scenes.

[0040] According to a preferred embodiment, on the basis of obtaining the optimal first equipment disassembly and assembly sequence planning through basic influencing factors, several variables for describing specific influencing factors are introduced, preferably, the variables include: nuclear facility type variable, radiation source type variable, radiation source activity variable, as input judgment, and continue to obtain the second equipment disassembly and assembly sequence planning that meets the specific disassembly and assembly needs based on the genetic algorithm. Preferably, the specific disassembly and assembly needs are defined as disassembly and assembly operations involving reactors.

[0041] According to a preferred embodiment, during the equipment disassembly and assembly sequence planning process, it is necessary to classify and analyze the workers and robots involved in the equipment disassembly and assembly. Preferably, a first type of radiation field that allows manual operation and a second type of radiation field that allows robot operation are divided according to the radiation distribution in the space.

[0042] Preferably, a method for planning the assembly and disassembly of equipment in a type of radiation field is determined based on the time consumption of manual operations and the allowable dose, wherein the time consumption of operators is determined according to the structure and complexity of the equipment to be operated.

[0043] Preferably, the equipment disassembly and assembly planning method in the Class II radiation field is determined based on the time consumption of the robot operation and the dose it is allowed to withstand, wherein the robot operation needs to ensure that the electronic equipment therein can operate normally under the irradiation conditions.

[0044] Preferably, the disassembly and assembly planning method can plan a disassembly and assembly plan that conforms to the manual operation sequence and robot operation based on Class I radiation field and Class II radiation field, and can also plan the disassembly and assembly plan based on the coexistence of Class I and Class II radiation fields by combining manual operation and robot operation, so as to meet the principle of optimizing radiation protection in different scenarios.

[0045] Example 2

[0046] According to a preferred embodiment, the decommissioning planning system utilizes the three-dimensional scene model and radiation field model pre-constructed and stored in the decommissioning planning system when executing the equipment disassembly and assembly sequence planning. Preferably, the three-dimensional scene model includes the relevant facilities and equipment in the nuclear decommissioning operation scene, and the radiation field model includes radiation source information, radioactive source activity information, and radiation field distribution information. Thus, preferably, when executing the equipment disassembly and assembly sequence planning, the decommissioning planning system can directly call the nuclear facilities planned for decommissioning operations in the three-dimensional scene model, and execute the disassembly and assembly sequence planning for them according to the structural characteristics of the nuclear facilities in the model. Preferably, the radiation situation needs to be considered in the planning process, so the radiation field model is introduced for the decommissioning planning system to call the radiation information it needs when performing the planning operation.

[0047] According to a preferred embodiment, the construction of the radiation field model can be as follows: the decommissioning planning system pre-stores radiation distribution data and can process the radiation distribution data based on its own algorithm and associate it with the spatial coordinates of the three-dimensional scene model. Preferably, the radiation distribution data is measured in advance and stored in the dosimeter system, which at least needs to cover the radiation field data and the radiation source data, so that the dosimeter system can relatively completely construct the radiation field model based on the above two types of radiation distribution data. Preferably, the radiation distribution data needs to contain coordinate information, so that when constructing the radiation field model, the coordinate information is associated with the spatial coordinates of the three-dimensional scene model, so that the radiation field model and the three-dimensional scene model are one-to-one corresponding. Preferably, the radiation distribution data includes MCNP5 radiation data and radiation hotspot data, etc., and further preferably, for MCNP5 radiation data, the decommissioning planning system under this embodiment supports data processing in multiple coordinate systems. Preferably, when calling the three-dimensional scene model of the nuclear facility decommissioning scene, the decommissioning planning system can automatically retrieve the corresponding radiation distribution data and associate the radiation distribution data with the three-dimensional scene model.

[0048] According to a preferred embodiment, the radiation distribution data is associated with a three-dimensional scene model and the radiation distribution data is visualized to present a visualized radiation field. Preferably, the presentation mode of the radiation field can be set to a variety of modes, such as texture rendering mode, heat map mode, point cloud mode, particle cloud mode, etc. Preferably, the retirement planning system supports the editing of radiation field dose distribution, for example, different doses at different positions in space are assigned corresponding colors, so that the visualized radiation field can more significantly reflect the spatial distribution of the dose and the depth of the dose distribution. Preferably, the retirement planning system also supports the sectioning of the radiation field model, so that the user can more clearly view the dose distribution at different heights and different angles.

[0049] According to a preferred embodiment, the decommissioning planning system is able to visualize the invisible radiation field so that nuclear decommissioning workers can directly observe the distribution status of the radiation field and can rotate, slice and other operations on the radiation field model so as to observe the dose intensity of the radiation field from different angles and depths. Before starting the operation, the user can make a preliminary manual assessment of the safety factor of the working environment by observing the radiation field model, providing an effective judgment basis for planning a reasonable working path.

[0050] According to a preferred embodiment, the radiation distribution data in the radiation environment is pre-stored in the retirement planning system, so that when it is needed, the retirement planning system can directly call the existing radiation distribution data. Preferably, the radiation distribution data can be obtained in advance through measurement and entered into the retirement planning system. Optionally, the measurement of the radiation field can be carried out in the following manner: pre-plan the spatial points for measurement in the radiation environment. Preferably, the spatial points for measurement can be divided in an equidistant manner. On the basis of the initial radiation distribution data obtained by a limited number of measurements, the data of the unmeasured part in the corresponding space is supplemented by simulation to obtain the global radiation distribution data. The technician uses a handheld detector to measure the energy intensity and the corresponding type of rays at each spatial point in the working environment, and records the corresponding information in a portable storage device; or an intelligent robot can be used to replace manual work, so that the risk of excessive radiation exposure due to manual work can be avoided in an environment where radiation measurement is not performed.

[0051] Preferably, the measurement of the radiation field also includes obtaining the distribution information of the radiation source, the main nuclides of the radiation source, and the nuclide activity. Preferably, the distribution information of the radiation source can also be obtained by manual on-site measurement and manually entered into a portable storage device. The radiation source can be obtained by 1 Ag, 58 Co. 60 The activity of a short-lived nuclide decreases due to decay (the decay change of the activity of a long-lived nuclide can be ignored in a short time); or the continuous operation of a nuclear facility generates radioactive substances and increases the existing environmental radiation.

[0052] Preferably, the radiation field data and radiation source data stored in the portable storage device are imported into the decommissioning planning system, and the decommissioning planning system performs visualization processing on the radiation field data and radiation source data. Preferably, the visualization processing process includes:

[0053] S11: Establish a three-dimensional spatial coordinate system, introduce radiation field data and radiation source data to construct a three-dimensional radiation field model. Preferably, the decommissioning planning system supports data processing in multiple coordinate systems, such as a three-dimensional Cartesian coordinate system and a spherical coordinate system. Further preferably, due to the divergent nature of the radiation field, a spherical coordinate system is used to construct the radiation field model, so that the data processing process is simpler and faster.

[0054] S12: Preferably, the total absorbed dose rate of human tissue for various types of radiation is introduced, that is, the sum of the energy deposited by various types of radiation in unit mass of tissue and unit time in the human body due to ionizing radiation. Preferably, the radiation field model is a function of the absorbed dose rate under three-dimensional coordinates. Specifically, by selecting a specific three-dimensional coordinate point (r, θ, φ), the absorbed dose rate corresponding to the three-dimensional coordinate point can be obtained. Preferably, the radiation field model expresses the relationship between the absorbed dose rate and the spherical coordinate system through the following functional relationship: D = ψ (r, θ, φ), where D represents the absorbed dose rate of human tissue at a certain point in space. Therefore, in the radiation field model, the absorbed dose rate can be obtained by determining a coordinate point.

[0055] S13: Preferably, the decommissioning planning system can also correct the radiation field at the current moment according to the radiation source data. For example, considering the decay of the radiation source, the time difference from the initial measurement to the present moment is calculated according to the attenuation properties of different radiation sources, and the current radiation source activity is calculated based on the time difference, and a pre-constructed radiation field model is imported to correct it.

[0056] S14: Preferably, the decommissioning planning system can load the radiation field model while loading the three-dimensional scene model. Preferably, the decommissioning planning system can calculate the coordinates of the radiation field model and associate them with the spatial coordinates of the three-dimensional scene model. Further preferably, it can also convert the spherical coordinate system of the radiation field model into a three-dimensional rectangular coordinate system and associate it with the three-dimensional rectangular coordinate system of the three-dimensional scene model.

[0057] S15: Preferably, the radiation field model and the three-dimensional scene model after being correlated with each other can be output to the user through the screen. Preferably, the expression mode of the radiation field model can be set to multiple modes, such as texture rendering mode, heat map mode, point cloud mode, particle cloud mode, etc.

[0058] S16: Preferably, the user can edit the radiation field model, for example, assign corresponding colors to different doses at different positions in space, so that the radiation field model can more significantly reflect the spatial distribution of dose and the depth of dose distribution. Preferably, the user can also cut the radiation field model to more clearly view the dose distribution at different heights and angles.

[0059] According to a preferred embodiment, the decommissioning planning system can also call radiation field model data according to the equipment disassembly and assembly plan, and the radiation field model data at least includes the distribution data of the radiation field and the distribution data of the radiation source. Preferably, the decommissioning planning system can simulate in a three-dimensional scene model the spatial range swept by the various organs of the human body following the movement of the human body in the above path, and at the same time obtain the time that each organ stays on the path of the unit space and calculate the real-time dose received by the human organ based on the radiation dose rate in the unit space, and the real-time dose is integrated over time to obtain the cumulative dose.

[0060] According to a preferred embodiment, the retirement planning system calculates the real-time dose and cumulative dose of the human body based on GPU-accelerated human dose assessment technology. Preferably, GPU acceleration technologies such as CUDA are used to identify and store relevant organ voxels based on the human dose model. Preferably, it calls a three-dimensional scene model to calculate the voxel dose in the organ bounding box, that is, the dose received by each organ, thereby realizing dose assessment calculation at the human organ level.

[0061] Preferably, the absorbed dose of a certain organ of the human body under the action of a certain ray can be expressed as a function of time and space. The absorbed dose multiplied by the radiation weight factor of the corresponding ray can obtain the equivalent dose of the organ. The equivalent doses of all organs of the human body are multiplied by the organ weight factor and summed to obtain the total real-time dose of the human body (the dose evaluation time is the differential time dt):

[0062]

[0063] Among them, D T，R represents the average absorbed dose of organ T of ray type R, Represents a functional relationship. R is the radiation weight factor (measures the strength of the radiation effect caused by different rays in the human body), H T Denotes the equivalent dose to organ T. D eff is the total effective dose of the human body (the measurement time is the differential time dt, which represents the real-time dose), ω T Represents the organ weight factor. Based on the real-time dose, the cumulative dose of the human body is obtained by integrating the time. Preferably, the selected upper limit of the integral is the current moment, and the cumulative dose can be expressed as a function of time:

[0064]

[0065] Wherein, P represents the cumulative dose.

[0066] It should be noted that the above-mentioned specific embodiments are exemplary, and those skilled in the art can come up with various solutions inspired by the disclosure of the present invention, and these solutions also belong to the disclosure scope of the present invention and fall within the protection scope of the present invention. Those skilled in the art should understand that the present invention specification and its drawings are illustrative and do not constitute a limitation of the claims. The scope of protection of the present invention is defined by the claims and their equivalents. The present invention specification contains multiple inventive concepts, such as "preferably", "according to a preferred embodiment" or "optionally", all of which indicate that the corresponding paragraph discloses an independent concept, and the applicant reserves the right to file a divisional application based on each inventive concept. Throughout the text, the feature guided by "preferably" is only an optional method and should not be understood as a must-have setting. Therefore, the applicant reserves the right to abandon or delete the relevant preferred features at any time.

Claims

1. A visual radiation field model for nuclear decommissioning equipment, characterized in that: The radiation field model is associated with a nuclear facility scheduled for dismantling in a decommissioning planning system, The radiation distribution data of the radiation field model is associated with the spatial coordinates of the three-dimensional scene model so that there is a one-to-one correspondence between the radiation field model and the three-dimensional scene model at each location; The user of the decommissioning planning system rotates and / or slices the radiation field model to observe the dose intensity of the radiation field from different angles and different depths.

2. The visual radiation field model according to claim 1, characterized in that: Different doses at different spatial positions of the radiation field model are respectively assigned corresponding colors, so that the visualized radiation field can significantly reflect the spatial distribution of the radiation dose and the depth of the radiation dose distribution through the screen.

3. The visual radiation field model according to claim 2, characterized in that: The radiation field model includes a first type of radiation field that allows manual operation and a second type of radiation field that allows robot operation, which are divided by the decommissioning planning system according to radiation distribution in space.

4. The visualized radiation field model according to any one of claims 1 to 3, characterized in that: The method for measuring the radiation distribution data of the radiation field model comprises: Plan the spatial points for measurement in the radiation environment. Based on the initial radiation distribution data obtained by measurement, the data of the unmeasured part in the corresponding space are supplemented by simulation to obtain the global radiation distribution data.

5. A method for constructing a visual radiation field model of nuclear decommissioning equipment, characterized in that: The method comprises: Establish a three-dimensional space coordinate system, introduce radiation distribution data and associate it with the three-dimensional space coordinates, introduce the absorption dose rate of human tissue to various types of rays, and establish a functional relationship between the absorption dose rate and the three-dimensional space coordinate system. The radiation field model at the current moment is modified according to the radiation source data, the radiation field model is associated with the three-dimensional scene model, and is output to the user in an editable manner.

6. The method for constructing a visual radiation field model according to claim 5, characterized in that: When the user edits the radiation field model, different doses at different spatial positions are assigned corresponding colors, so that the radiation field model can reflect the spatial distribution of the dose and the depth of the dose distribution.

7. The method for constructing a visual radiation field model according to claim 6, characterized in that: The user of the decommissioning planning system rotates and / or slices the radiation field model to observe the dose intensity of the radiation field from different angles and different depths.

8. The method for constructing a visual radiation field model according to any one of claims 5 to 7, characterized in that: The radiation distribution data of the radiation field model is obtained by measurement, and the method for measuring the radiation distribution data of the radiation field model includes: Plan the spatial points for measurement in the radiation environment. Based on the initial radiation distribution data obtained from a limited number of measurements, the data of the unmeasured part in the corresponding space are supplemented by simulation to obtain the global radiation distribution data.

9. The method for constructing a visual radiation field model according to any one of claims 5 to 7, characterized in that: The radiation distribution data includes coordinate information, so when constructing the radiation field model, the coordinate information is associated with the spatial coordinates of the three-dimensional scene model, so that the radiation field model and the three-dimensional scene model are in one-to-one correspondence at all locations.

10. The method for constructing a visual radiation field model according to any one of claims 5 to 7, characterized in that: The method for correcting the radiation field model at the current moment according to the radiation source data includes: Taking the decay of the radiation source into consideration, the time difference from the initial measurement to the present moment is calculated according to the attenuation properties of different radiation sources, and the current radiation source activity is calculated according to the time difference, and the pre-constructed radiation field model is imported to correct it.

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