Nuclear facility decommissioning radiation hazard risk assessment method and device and storage medium

Abstract

The invention relates to a nuclear facility decommissioning radiation hazard risk assessment method and apparatus, and a storage medium. The method comprises the steps of obtaining basic data of a radiation source in nuclear facility decommissioning; classifying the basic data to obtain radioactive data and non-radioactive data; determining a first radiation risk level based on a single-point risk matrix method; based on the non-radioactive data, constructing a non-radioactive risk assessment matrix graph, and determining a second radiation risk level; and a risk assessment result is determined by adopting fuzzy reasoning logic, and the fuzzy reasoning logic is used for performing fuzzy processing on the first radiation risk level and the second radiation risk level to obtain risk levels in the same range. The first radiation risk level and the second radiation risk level are fuzzified, so that the first radiation risk level and the second radiation risk level are in the same level range, radioactive radiation and non-radioactive radiation factors can be comprehensively considered, and the technical effect that the final radiation risk assessment result is more accurate is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear facility decommissioning radiation detection technology, and in particular to a nuclear facility decommissioning radiation hazard risk assessment method, device and storage medium. Background Art

[0002] The radiation operation environment of nuclear facility decommissioning activities is relatively complex, with many different types of radiation sources and radiation energies. During the implementation of the project, workers are exposed to relatively high doses of external radiation and internal contamination. It is necessary to scientifically identify and analyze the radioactive hazards and non-radioactive hazards in the workplace and understand the distribution of occupational hazards. Radiation hazard risk assessment is a method for quantitatively evaluating the potential impact of occupational exposure to radiation.

[0003] However, during the radiation hazard risk assessment process, there may be radioactive radiation as well as non-radioactive radiation. Since the level ranges of radioactive radiation and non-radioactive radiation are different, the relevant technologies fail to comprehensively consider radioactive radiation and non-radioactive radiation when assessing radiation hazard risks, resulting in inaccurate radiation risk assessment results.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The invention discloses a method, a device and a storage medium for assessing the risk of radiation hazards in decommissioning a nuclear facility, aiming to solve the technical problems existing in the prior art.

[0006] The present invention adopts the following technical solutions:

[0007] On the one hand, the present invention provides a method for assessing the risk of radiation hazards in nuclear facility decommissioning, comprising: acquiring basic data of radiation sources in nuclear facility decommissioning; classifying the basic data to obtain radioactive data and non-radioactive data; determining a first radiation risk level corresponding to the radioactive data based on a single-point risk matrix method; constructing a non-radioactive risk assessment matrix diagram based on the non-radioactive data to determine a second radiation risk level corresponding to the non-radioactive data; and determining a risk assessment result based on the first radiation risk level and the second radiation risk level using fuzzy reasoning logic, wherein the fuzzy reasoning logic is used to fuzzy the first radiation risk level and the second radiation risk level to obtain risk levels within the same range.

[0008] Optionally, obtaining basic data of radiation sources in nuclear facility decommissioning includes: obtaining the operating conditions of equipment corresponding to the radiation source, and material usage of materials used by the radiation source; quantifying the operating conditions based on standard quantification principles to obtain operating data, wherein the standard quantification principles are used to quantify the operating conditions into digital data; quantifying the material usage based on the standard quantification principles to obtain material usage data; and preprocessing the operating data and the material usage data to obtain basic data.

[0009] Optionally, determining the first radiation risk level corresponding to the radioactive data based on the single-point risk matrix method includes: determining the radiation amount corresponding to the radioactive data; presetting multiple radioactive radiation levels and radiation amount ranges corresponding to the multiple radioactive radiation levels; based on the radiation amount, mapping to a single-point level closest to the multiple radioactive radiation levels; and determining the single-point level as the first radiation risk level.

[0010] Optionally, based on the non-radioactive data, a non-radioactive risk assessment matrix is ​​constructed to determine a second radiation risk level corresponding to the non-radioactive data, including: determining the degree of influence and the risk possibility corresponding to the non-radioactive data, wherein the risk possibility is used to indicate the possibility of occurrence of the first risk level; based on the degree of influence and the risk possibility, a non-radioactive risk assessment matrix is ​​determined, wherein the non-radioactive risk assessment matrix is ​​a two-dimensional matrix, wherein the horizontal axis represents the risk possibility and the vertical axis represents the degree of influence; based on the non-radioactive risk assessment matrix, the second radiation risk level is determined.

[0011] Optionally, determining the second radiation risk level based on the non-radioactive risk assessment matrix includes: determining a non-radioactive risk value based on the non-radioactive risk assessment matrix, wherein the non-radioactive risk value is the product of the risk possibility and the impact degree; presetting multiple non-radioactive radiation levels and non-radioactive risk value ranges corresponding to the multiple non-radioactive radiation levels; and determining the second radiation risk level based on the non-radioactive risk value and the multiple non-radioactive radiation levels.

[0012] Optionally, based on the first radiation risk level and the second radiation risk level, fuzzy reasoning logic is used to determine a risk assessment result, including: obtaining a fuzzy level indicator for decommissioning of the nuclear facility; based on the fuzzy level indicator, fuzzifying the first radiation risk level and the second radiation risk level to obtain a fuzzy collection; based on the fuzzy collection, determining a fuzzy risk assessment; and defuzzifying the fuzzy risk assessment to obtain the risk assessment result.

[0013] Optionally, based on the fuzzy level index, the first radiation risk level and the second radiation risk level are fuzzy processed to obtain a fuzzy collection, including: based on the first radiation risk level and the fuzzy level index, a first indicator is determined, wherein the first indicator includes one of the following: low risk, medium risk, high risk, and the first indicator is used to indicate the level of risk of the first radiation risk level; based on the second radiation risk level and the fuzzy level index, a second indicator is determined, wherein the second indicator includes one of the following: low risk, medium risk, high risk, and the second indicator is used to indicate the level of risk of the second radiation risk level; the collection of the first indicator and the second indicator is determined to be the fuzzy collection.

[0014] According to another aspect of an embodiment of the present invention, a nuclear facility decommissioning radiation hazard risk assessment device is also provided, including: an acquisition module, used to acquire basic data of radiation sources in nuclear facility decommissioning; a classification module, used to classify the basic data to obtain radioactive data and non-radioactive data; a first level module, used to determine a first radiation risk level corresponding to the radioactive data based on a single-point risk matrix method; a second level module, used to construct a non-radioactive risk assessment matrix diagram based on the non-radioactive data, and determine a second radiation risk level corresponding to the non-radioactive data; a result module, used to determine a risk assessment result based on the first radiation risk level and the second radiation risk level using fuzzy reasoning logic, wherein the fuzzy reasoning logic is used to fuzzy the first radiation risk level and the second radiation risk level to obtain a risk level within the same range.

[0015] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, wherein the non-volatile storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing any one of the methods for assessing radiation hazard risk of nuclear facility decommissioning.

[0016] According to another aspect of an embodiment of the present invention, there is also provided a computer program product, including a computer program, characterized in that when the computer program is executed by a processor, the steps of any one of the methods for assessing radiation hazard risk of nuclear facility decommissioning are implemented.

[0017] The technical solution adopted by the present invention can achieve the following beneficial effects:

[0018] The present invention mainly provides a method for assessing the risk of radiation hazards in the decommissioning of nuclear facilities, including obtaining basic data of radiation sources in the decommissioning of nuclear facilities; classifying the basic data to obtain radioactive data and non-radioactive data; determining the first radiation risk level corresponding to the radioactive data based on the single-point risk matrix method; constructing a non-radioactive risk assessment matrix diagram based on the non-radioactive data to determine the second radiation risk level corresponding to the non-radioactive data; and determining the risk assessment result based on the first radiation risk level and the second radiation risk level using fuzzy reasoning logic, wherein the fuzzy reasoning logic is used to fuzzify the first radiation risk level and the second radiation risk level to obtain the risk level within the same range. The purpose of processing the first radiation risk level corresponding to the radioactivity and the second radiation risk level corresponding to the non-radioactivity so that the two are within the same level range is achieved, thereby achieving the technical effect of comprehensively considering radioactive radiation and non-radioactive radiation, so that the final radiation risk assessment result is more accurate, thereby solving the technical problem that the final radiation risk assessment result is inaccurate due to the failure to comprehensively consider radiation and non-radioactive radiation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments, which constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions explain the present invention and do not constitute improper limitations on the present invention. In the drawings:

[0020] Figure 1 is a flow chart of a method for assessing radiation hazard risk of nuclear facility decommissioning in Example 1 of the present invention;

[0021] Figure 2 It is a non-radioactive risk assessment matrix diagram of a method for assessing radiation hazard risk of nuclear facility decommissioning in Example 1 of the present invention;

[0022] Figure 3 is a flow chart of an optional method for assessing the risk of radiation hazards during decommissioning of a nuclear facility in Embodiment 2 of the present invention;

[0023] Figure 4 It is a structural schematic diagram of a nuclear facility decommissioning radiation hazard risk assessment device in Example 3 of the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. In the description of the present invention, it should be noted that the term "or" is usually used in the sense of including "and / or", unless the content clearly indicates otherwise.

[0025] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] First, to facilitate understanding of the embodiments of the present invention, some terms or nouns involved in the present invention are explained below:

[0027] Nuclear facility decommissioning refers to all administrative and technical measures taken to remove nuclear facilities from regulatory control after they have expired or ceased service for other reasons. These measures include decontamination, uncut dismantling of equipment / systems, dismantling of structures, treatment and disposal of radioactive waste, and environmental remediation, etc., aiming to clean up all equipment, plants, and sites to an acceptable level to ensure the safety of personnel and the environment.

[0028] Fuzzy processing is a process of converting precise data into fuzzy data (or language value), which plays an important role in processing uncertain information. In risk assessment or other scenarios requiring fuzzy control, since the control system (or evaluation system) often needs to make decisions based on uncertain or fuzzy information, it is necessary to fuzzify the input data.

[0029] In order to solve the problems existing in the prior art, the embodiments of the present application provide a method, device and storage medium for assessing the radiation hazard risk of nuclear facility decommissioning.

[0030] Example 1

[0031] This embodiment provides a method for assessing the risk of radiation hazards in nuclear facility decommissioning. Figure 1 As shown, Figure 1 1 is a flow chart of a method for assessing the risk of radiation hazards in nuclear facility decommissioning in Example 1 of the present invention, comprising the following steps:

[0032] Step S102, obtaining basic data of radiation sources in nuclear facility decommissioning;

[0033] In some preferred embodiments, basic data of radiation sources in nuclear facility decommissioning are obtained, including: obtaining the operating conditions of equipment corresponding to the radiation source, and the material usage of the radiation source; quantifying the operating conditions based on standard quantification principles to obtain operating data, wherein the standard quantification principles are used to quantify the operating conditions into digital data; quantifying the material usage based on standard quantification principles to obtain material usage data; and preprocessing the operating data and material usage data to obtain basic data.

[0034] Optionally, select the working environment (sample) of nuclear facility decommissioning radiation hazard operations and conduct a radiation health survey. Through data collation and on-site investigation, conduct an occupational health survey of the workplace, including basic information of the unit, equipment operation, overall building layout, production process, production equipment and layout, basic information of workers, raw materials and usage, identification of radiation hazard factors, radiation occupational disease protection facilities, protective supplies, auxiliary rooms, emergency rescue, radiation health management, radiation occupational disease hazard factors and their temporal and spatial distribution and implementation of protection facilities, etc.

[0035] Optionally, there are many radiation sources corresponding to the decommissioning of nuclear facilities. Common radiation sources include decontamination, uncut dismantling of equipment / systems, dismantled structures, radioactive waste, radiation environment remediation equipment, etc. The operation of the above equipment affects the intensity of the radiation source. For equipment that has been discontinued for other reasons, the younger the equipment is and the better the equipment is in operation, the more stable the radiation source is. However, equipment that has been discontinued after expiration often has higher radiation sources. Based on the standard quantification principle, the above content is converted into corresponding levels of operation data according to the equipment operation status and equipment operation life. Among them, the operation data corresponds to the level of equipment operation status, which can be determined according to the status standard table in the relevant industry.

[0036] Optionally, the radiation source exists not only on the production equipment, but also on the products produced by the production equipment or the raw materials required to produce the products. The amount of materials used in the raw materials and the type of materials used determine the intensity of the radiation source. Based on the standard quantification principle, the above content is converted into corresponding level of material data according to the amount of materials used in the raw materials and the type of materials used. Among them, the material data corresponds to the level of material hazard, which can be determined according to the status standard table in the relevant industry.

[0037] Step S104, classifying the basic data to obtain radioactive data and non-radioactive data;

[0038] Optional, radioactive data mainly involves parameters and information related to radioactive materials and radioactive processes, and is an important basis for safety supervision and environmental protection of nuclear facility decommissioning. Such data include, but are not limited to: radioisotope data, radioactive dose data, radioactive contamination data, and radioactive waste treatment data. Among them, radioisotope data include the type, half-life, decay mode (such as α decay, β decay, etc.), decay products, etc. of radioisotopes, which are essential for assessing the dangers of radioactive materials and handling radioactive waste. Radioactive dose data include the radioactive dose, dose rate, and cumulative dose that workers and the public may receive, which are the basis for assessing the radiation impact of nuclear facilities on personnel and the environment. Radioactive contamination data include the concentration, distribution range, and migration and transformation laws of radioactive materials in the environment around nuclear facilities, which help to understand the degree and scope of radioactive contamination and provide a basis for formulating environmental protection measures. Radioactive waste treatment data include the amount, type, treatment method (such as solidification, storage, disposal, etc.) and treatment effect of radioactive waste, which are essential for ensuring the safe treatment and final disposal of radioactive waste.

[0039] Optional, non-radioactive data mainly involves other parameters and information related to the operation and management of nuclear facilities, which are of great significance for ensuring the safe operation and efficient management of nuclear facilities. Such data include, but are not limited to: nuclear facility operation data, nuclear facility structure data, safety system data, environmental monitoring data, and personnel training and qualification data. Among them, nuclear facility operation data include the operating status, power level, fuel consumption, and coolant flow of nuclear facilities, which help to understand the operation of nuclear facilities and promptly discover and deal with potential safety issues. Nuclear facility structure data include the structural design, material selection, and construction details of nuclear facilities, which are essential for evaluating the structural integrity and seismic performance of nuclear facilities. Safety system data include the safety system configuration, operating status, and emergency response capabilities of nuclear facilities, which help to ensure that safety measures can be taken quickly and effectively in an emergency to protect the safety of personnel and the environment. Environmental monitoring data include meteorological conditions such as temperature, humidity, wind speed and direction of the environment around nuclear facilities, as well as the quality of environmental elements such as soil and water sources. These data help to understand the impact of the environment on the operation of nuclear facilities and provide a basis for formulating environmental protection measures. Personnel training and qualification data include training records, qualification certificates, and health status of nuclear facility personnel. These data are important for ensuring that personnel have the necessary professional skills and physical fitness to cope with challenges and emergencies in nuclear facility operations.

[0040] Step S106, determining the first radiation risk level corresponding to the radioactivity data based on the single point risk matrix method;

[0041] In some preferred embodiments, based on the single-point risk matrix method, the first radiation risk level corresponding to the radioactive data is determined, including: determining the radiation amount corresponding to the radioactive data; presetting multiple radioactive radiation levels and radiation amount ranges corresponding to the multiple radioactive radiation levels; based on the radiation amount, mapping to a single-point level closest to the multiple radioactive radiation levels; determining the single-point level as the first radiation risk level.

[0042] Optionally, during the monitoring and assessment of occupational radioactive hazards, that is, during the process of obtaining the first radiation risk level, the radiation exposure dose of occupational personnel is graded according to the Nuclear and Radiation Accident Scale and the Radiation Safety Management Method for Nuclear Facility Operation promulgated by the International Commission on Radiological Protection (ICRP) and the International Atomic Energy Agency (IAEA), combined with the radioactive data obtained on site. The calculation and classification of risk factors for radioactive hazards take into account one factor, namely the degree of radiation exposure of personnel. The radiation amount corresponding to the radioactive data is determined based on the degree of radiation exposure of personnel, that is, the higher the degree of radiation exposure, the higher the radiation amount. During the decommissioning of nuclear facilities, some personnel may face greater exposure risks. In order to meet the requirements of dose limits, the expected personal effective dose of operators should be limited. The specific classification of radioactive hazards is as follows:

[0043] μ(radiation hazard type)∈{work radiation exposure}

[0044] μ(radioactivity risk)∈{R1;R7}

[0045] Among them, based on the radiation amount, the exposure degree is determined and divided into multiple levels, that is, multiple radioactive radiation levels and exposure range levels corresponding to the multiple radioactive radiation levels are preset, as shown in Table 1, which is a classification table of radiation hazard levels for nuclear facility decommissioning workers. When the radiation exposure of workers in the workplace is R4, all decommissioning activities in the workplace must be suspended.

[0046] Table 1 Radiation hazard level classification table for nuclear facility decommissioning workers

[0047] Exposure level (mSv) Radiological hazard risk classification (R) ＜0.1 R1 0.1～0.5 R2 0.5～2 R3 2～20 R4 20～50 R5 50～250 R6 ＞250 R7

[0048] Step S108, constructing a non-radioactive risk assessment matrix diagram based on the non-radioactive data, and determining a second radiation risk level corresponding to the non-radioactive data;

[0049] In some preferred embodiments, a non-radioactive risk assessment matrix is ​​constructed based on non-radioactive data to determine a second radiation risk level corresponding to the non-radioactive data, including: determining the degree of impact and the risk possibility corresponding to the non-radioactive data, wherein the risk possibility is used to indicate the possibility of the occurrence of the first risk level; based on the degree of impact and the risk possibility, determining a non-radioactive risk assessment matrix, wherein the non-radioactive risk assessment matrix is ​​a two-dimensional matrix, wherein the horizontal axis represents the risk possibility and the vertical axis represents the degree of impact; based on the non-radioactive risk assessment matrix, determining the second radiation risk level.

[0050] Optionally, the basic data contains not only radioactive data but also non-radioactive data. Specifically, non-radioactive factors may also cause certain harm to the workers (samples), so it is necessary to comprehensively consider the influence of radioactive factors and non-radioactive factors to determine the radiation risk assessment.

[0051] Optionally, based on the non-radioactive data, determine the second radiation risk level of the non-radioactive data. The input values ​​of the non-radioactive hazard risk analysis are the type, risk possibility and impact level of the non-radioactive hazard. The risk possibility of non-radioactive hazards is divided into five different levels, and the impact level is divided into five different severity levels. Among them, the first risk level is determined based on the "Industrial Enterprise Design Hygiene Standard (GBZ1)" and the "Workplace Hazardous Factor Exposure Limit (GBZ2)". Based on the non-radioactive substances indicated in the non-radioactive data, a machine learning algorithm is used to calculate the possibility of the existence of the second radiation risk level. Specifically, the non-radioactive hazards are classified as follows:

[0052] μ(non-radiological risk)∈{1;25}

[0053] μ(harmful consequences)∈{1;5}

[0054] μ(harm potential)∈{1;5}

[0055] Optionally, a non-radioactive risk assessment matrix can be constructed based on the risk likelihood and impact level generated by the non-radioactive data, such as Figure 2 As shown, Figure 2 It is a non-radioactive risk assessment matrix diagram of a nuclear facility decommissioning radiation hazard risk assessment method in Example 1 of the present invention, wherein the horizontal axis of the non-radioactive risk assessment matrix diagram is the degree of impact and the vertical axis is the risk possibility. Based on the non-radioactive risk assessment matrix diagram, when the horizontal axis and the vertical axis are determined, the second radiation risk level is obtained, that is, the radiation risk level caused by non-radioactive factors.

[0056] In some preferred embodiments, determining the second radiation risk level based on the non-radioactive risk assessment matrix includes: determining the non-radioactive risk value based on the non-radioactive risk assessment matrix, wherein the non-radioactive risk value is the product of the risk possibility and the degree of impact; presetting multiple non-radioactive radiation levels and non-radioactive risk value ranges corresponding to the multiple non-radioactive radiation levels; determining the second radiation risk level based on the non-radioactive risk value and the multiple non-radioactive radiation levels.

[0057] Optionally, risk value = impact level * risk possibility. Based on the risk value, the second radiation risk level classification is determined as follows:

[0058] μ(classification)∈{very high; high; moderate; low}

[0059] IF non-radioactive risk matrix ∈ (16, 25), THENμ(classification) is high;

[0060] IF non-radioactive risk matrix ∈ (12, 15), THEN μ(classification) is high;

[0061] IF non-radiological risk matrix ∈ (6, 10), THENμ(classification) is moderate;

[0062] IF non-radioactive risk matrix ∈ (1, 5), THEN μ(classification) is low;

[0063] Step S110, based on the first radiation risk level and the second radiation risk level, fuzzy reasoning logic is used to determine the risk assessment result, wherein the fuzzy reasoning logic is used to fuzzy the first radiation risk level and the second radiation risk level to obtain risk levels within the same range.

[0064] In some preferred embodiments, based on the first radiation risk level and the second radiation risk level, fuzzy reasoning logic is used to determine the risk assessment result, including: obtaining a fuzzy level indicator for nuclear facility decommissioning; based on the fuzzy level indicator, fuzzifying the first radiation risk level and the second radiation risk level to obtain a fuzzy collection; based on the fuzzy collection, determining a fuzzy risk assessment; and defuzzifying the fuzzy risk assessment to obtain a risk assessment result.

[0065] In some preferred embodiments, based on the fuzzy level index, the first radiation risk level and the second radiation risk level are fuzzy processed to obtain a fuzzy collection, including: based on the first radiation risk level and the fuzzy level index, a first indicator is determined, wherein the first indicator includes one of the following: low risk, medium risk, high risk, and the first indicator is used to indicate the level of risk of the first radiation risk level; based on the second radiation risk level and the fuzzy level index, a second indicator is determined, wherein the second indicator includes one of the following: low risk, medium risk, high risk, and the second indicator is used to indicate the level of risk of the second radiation risk level; the collection of the first indicator and the second indicator is determined to be a fuzzy collection.

[0066] Optionally, since the level of radioactive radiation hazard is between 1-7 and is directly related to work radiation exposure, and the level of non-radioactive radiation hazard is between 1-25, due to the different levels of classification, if the degree of radioactive radiation hazard and non-radioactive radiation hazard is determined according to the level, it is impossible to reasonably obtain the priority of radiation hazard, so it is necessary to classify the above-mentioned first radiation risk level and the second radiation risk level under the same standard, so it is necessary to use fuzzy reasoning logic to divide the above-mentioned first radiation risk level into low risk, medium risk and high risk, and also divide the above-mentioned second radiation risk level into low risk, medium risk and high risk, so that they have the same hazard standard, and then through defuzzification processing, the low risk, medium risk and high risk are respectively corresponded to the first radiation risk level and the second radiation risk level. Specifically, the fuzzy reasoning execution of composite hazards maps from the radioactive and non-radioactive risk matrices to μ (priority) as follows:

[0067] IF the radiation risk matrix x∈{R4,R7}, THENμ(radioactivity risk) is priority 1;

[0068] IF the radiation risk matrix x∈{R2, R3}, THENμ(radioactivity risk) is priority 3;

[0069] IF the radiation risk matrix x∈{R1}, THENμ(radioactivity risk) is priority 5;

[0070] IF non-radiological risk matrix x∈{16,25}, THENμ(non-radiological risk) is priority 2;

[0071] IF non-radiological risk matrix x∈{12,15}, THENμ(non-radiological risk) is priority 4;

[0072] IF the non-radiological risk matrix x∈{6,10}, THENμ(non-radiological risk) is priority 6;

[0073] IF non-radiological risk matrix x∈{1,5}, THENμ(non-radiological risk) is priority 7;

[0074] As shown in Table 2, Table 2 is a comprehensive risk assessment classification list for radioactive hazards and non-radioactive hazards.

[0075] Table 2 Comprehensive risk assessment grading list for radioactive hazards and non-radioactive hazards

[0076]

[0077]

[0078] Through the above steps S102 to S110, the purpose of processing the first radiation risk level corresponding to radioactivity and the second radiation risk level corresponding to non-radioactivity so that the two are within the same level range is achieved, thereby achieving the technical effect of comprehensively considering radioactive radiation and non-radioactive radiation to make the final radiation risk assessment result more accurate, thereby solving the technical problem of inaccurate radiation risk assessment result obtained due to failure to comprehensively consider radioactive radiation and non-radioactive radiation.

[0079] Example 2

[0080] Based on the above embodiments and optional embodiments, the present invention proposes an optional implementation mode: Figure 3 is a flow chart of an optional method for assessing the risk of radiation hazards in nuclear facility decommissioning in Example 2 of the present invention, such as Figure 3 As shown, the method includes:

[0081] Step S1, obtain basic data of radiation sources in nuclear facility decommissioning, specifically, select the working environment (sample) of radiation hazard operations in nuclear facility decommissioning, and conduct radiation health survey. Through data collation and on-site investigation, conduct occupational health survey on the workplace, including basic information of the unit, equipment operation, overall building layout, production process, production equipment and layout, basic information of workers, raw materials and usage, identification of radiation hazard factors, radiation occupational disease protection facilities, protective supplies, auxiliary rooms, emergency rescue, radiation health management, radiation occupational disease hazard factors and their temporal and spatial distribution and implementation of protection facilities, etc.

[0082] Step 2: Radiation hazard assessment, which specifically includes radioactive radiation hazard assessment and non-radioactive radiation hazard assessment.

[0083] (1) Radioactive radiation hazard assessment: Use the single-point risk matrix method to grade radiation exposure risks according to the degree of radiation exposure in the workplace.

[0084] (2) Non-radioactive radiation hazard assessment: A risk assessment method that integrates the non-radioactive risk assessment matrix and fuzzy reasoning logic. The non-radioactive risk assessment matrix uses a 5X5 unit matrix. Fuzzy reasoning logic requires setting up a program to eliminate the ambiguity of risk and quantify the risk. The core of the process is to use the "factor space" for fuzzy decision-making.

[0085] Step S3, composite risk assessment, uses fuzzy reasoning logic, specifically fuzzy reasoning and defuzzification of risk analysis. The final composite hazard risk assessment consists of nominal values, measurable values, and degree values, i.e., hazard type, level, and priority.

[0086] The specific fuzzy reasoning logic of nuclear facility decommissioning radiation hazard risk assessment is as follows:

[0087] Step S31, the input value stage, is the process of inputting the impact factor and the risk possibility factor for risk assessment, the process of fuzzifying each risk matrix element, and forming an appropriate fuzzy set according to the fuzzy set principle.

[0088] Step S32, the fuzzification stage, selects an appropriate risk assessment method and combines its elements.

[0089] Step S33, fuzzy reasoning stage, collects "If-Then-Else" situations and performs fuzzy risk assessment.

[0090] Step S34, the defuzzification stage, is the process of converting the output of all individual fuzzy rules into output values. After fuzzy reasoning, the fuzzy low, medium and high level language output variables are converted into clear level values.

[0091] Step S35, output value stage, derives a clear level value, which represents the inferred value of the language output variable.

[0092] Through the above steps S1 to S3, the purpose of processing the first radiation risk level corresponding to radioactivity and the second radiation risk level corresponding to non-radioactivity so that the two are within the same level range is achieved, thereby achieving the technical effect of comprehensively considering radioactive radiation and non-radioactive radiation to make the final radiation risk assessment result more accurate, thereby solving the technical problem of inaccurate radiation risk assessment result obtained due to failure to comprehensively consider radioactive radiation and non-radioactive radiation.

[0093] Example 3

[0094] In this embodiment, a nuclear facility decommissioning radiation hazard risk assessment device is also provided. Figure 4 is a schematic diagram of the structure of a nuclear facility decommissioning radiation hazard risk assessment device in Example 3 of the present invention, such as Figure 4As shown, the above device includes: an acquisition module 301, a classification module 302, a first level module 303, a second level module 304 and a result module 305, wherein:

[0095] An acquisition module 301 is used to acquire basic data of radiation sources in nuclear facility decommissioning;

[0096] The classification module 302 is connected to the acquisition module 301 and is used to classify the basic data to obtain radioactive data and non-radioactive data;

[0097] The first level module 303 is connected to the classification module 302 and is used to determine the first radiation risk level corresponding to the radioactive data based on the single point risk matrix method;

[0098] The second level module 304 is connected to the first level module 303 and is used to construct a non-radioactive risk assessment matrix diagram based on the non-radioactive data and determine the second radiation risk level corresponding to the non-radioactive data;

[0099] The result module 305 is connected to the second level module 304, and is used to determine the risk assessment result based on the first radiation risk level and the second radiation risk level by using fuzzy reasoning logic, wherein the fuzzy reasoning logic is used to fuzzy the first radiation risk level and the second radiation risk level to obtain a risk level within the same range.

[0100] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0101] It should be noted that the acquisition module 301, the classification module 302, the first level module 303, the second level module 304 and the result module 305 correspond to steps S102 to S110 in the embodiment, and the examples and application scenarios implemented by the modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment. It should be noted that the modules as part of the device can be run in a computer terminal.

[0102] It should be noted that the optional or preferred implementation of this embodiment can refer to the relevant description in the embodiment, which will not be repeated here.

[0103] The working device of the above-mentioned liquid scintillation spectrometer may also include a processor and a memory. The above-mentioned acquisition module 301, classification module 302, first level module 303, second level module 304 and result module 305 are all stored in the memory as program modules, and the processor executes the above-mentioned program modules stored in the memory to realize corresponding functions.

[0104] The processor includes a kernel, which retrieves the corresponding program module from the memory. The kernel may be one or more. The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory includes at least one memory chip.

[0105] According to an embodiment of the present application, an embodiment of a non-volatile storage medium is also provided. Optionally, in this embodiment, the non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute any of the above-mentioned nuclear facility decommissioning radiation hazard risk assessment devices.

[0106] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group, and the non-volatile storage medium includes a stored program.

[0107] Optionally, when the program is running, the device where the non-volatile storage medium is located is controlled to perform the following functions: obtain basic data of radiation sources in nuclear facility decommissioning; classify the basic data to obtain radioactive data and non-radioactive data; determine the first radiation risk level corresponding to the radioactive data based on the single-point risk matrix method; construct a non-radioactive risk assessment matrix diagram based on the non-radioactive data to determine the second radiation risk level corresponding to the non-radioactive data; based on the first radiation risk level and the second radiation risk level, use fuzzy reasoning logic to determine the risk assessment result, wherein the fuzzy reasoning logic is used to fuzzy the first radiation risk level and the second radiation risk level to obtain risk levels within the same range.

[0108] According to an embodiment of the present application, an embodiment of a processor is also provided. Optionally, in this embodiment, the processor is used to run a program, wherein when the program is run, any of the above-mentioned nuclear facility decommissioning radiation hazard risk assessment methods, devices and storage media is executed.

[0109] According to an embodiment of the present application, an embodiment of a computer program product is also provided. Optionally, in this embodiment, the computer program product includes a computer program, which, when executed by a processor, implements any of the above-mentioned nuclear facility decommissioning radiation hazard risk assessment methods, devices, and storage medium steps.

[0110] Optionally, the above-mentioned computer program product, when executed on a data processing device, is suitable for executing a program that initializes the following method steps: obtaining basic data of radiation sources in the decommissioning of nuclear facilities; classifying the basic data to obtain radioactive data and non-radioactive data; determining a first radiation risk level corresponding to the radioactive data based on a single-point risk matrix method; constructing a non-radioactive risk assessment matrix diagram based on the non-radioactive data to determine a second radiation risk level corresponding to the non-radioactive data; and determining a risk assessment result based on the first radiation risk level and the second radiation risk level using fuzzy reasoning logic, wherein the fuzzy reasoning logic is used to fuzzy the first radiation risk level and the second radiation risk level to obtain risk levels within the same range.

[0111] An embodiment of the present invention provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the following steps are implemented: basic data of radiation sources in nuclear facility decommissioning are acquired; the basic data are classified to obtain radioactive data and non-radioactive data; based on a single-point risk matrix method, a first radiation risk level corresponding to the radioactive data is determined; based on the non-radioactive data, a non-radioactive risk assessment matrix diagram is constructed to determine a second radiation risk level corresponding to the non-radioactive data; based on the first radiation risk level and the second radiation risk level, a fuzzy reasoning logic is used to determine a risk assessment result, wherein the fuzzy reasoning logic is used to fuzzify the first radiation risk level and the second radiation risk level to obtain risk levels within the same range.

[0112] The above sequence of the embodiments of the present invention is for description only and does not represent the superiority or inferiority of the embodiments.

[0113] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0114] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the above modules can be a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, modules or indirect coupling or communication connection of modules, which can be electrical or other forms.

[0115] The modules described above as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0116] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of software functional modules.

[0117] If the above-mentioned integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable non-volatile storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a non-volatile storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present invention. The aforementioned non-volatile storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0118] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for assessing the risk of radiation hazards in nuclear facility decommissioning, characterized in that: include: Obtain basic data on radiation sources in decommissioning of nuclear facilities; Classifying the basic data to obtain radioactive data and non-radioactive data; Determining a first radiation risk level corresponding to the radioactivity data based on a single point risk matrix method; Based on the non-radioactive data, a non-radioactive risk assessment matrix is ​​constructed to determine a second radiation risk level corresponding to the non-radioactive data; Based on the first radiation risk level and the second radiation risk level, fuzzy reasoning logic is used to determine a risk assessment result, wherein the fuzzy reasoning logic is used to fuzzy process the first radiation risk level and the second radiation risk level to obtain risk levels within the same range.

2. The method according to claim 1, characterized in that The basic data of radiation sources in nuclear facility decommissioning are obtained, including: Obtain the operation status of the equipment corresponding to the radiation source, and the material usage of the radiation source; quantifying the operating conditions based on standard quantification principles to obtain operating data, wherein the standard quantification principles are used to quantify the operating conditions into digital data; Based on the standard quantification principle, quantify the material usage to obtain material usage data; The operation data and the material data are preprocessed to obtain basic data.

3. The method according to claim 1, characterized in that The determining of the first radiation risk level corresponding to the radioactive data based on the single point risk matrix method includes: Determining the radiation amount corresponding to the radioactivity data; Preset multiple radioactive radiation levels and radiation amount ranges corresponding to the multiple radioactive radiation levels; Based on the radiation amount, mapping to a single point level closest to the multiple radioactive radiation levels; The single point level is determined to be the first radiation risk level.

4. The method according to claim 1, characterized in that: The step of constructing a non-radioactive risk assessment matrix diagram based on the non-radioactive data and determining a second radiation risk level corresponding to the non-radioactive data includes: Determining the impact degree and risk possibility corresponding to the non-radioactive data, wherein the risk possibility is used to indicate the possibility of the first risk level occurring; Based on the impact degree and the risk possibility, a non-radioactive risk assessment matrix diagram is determined, wherein the non-radioactive risk assessment matrix diagram is a two-dimensional matrix, the horizontal axis represents the risk possibility, and the vertical axis represents the impact degree; Based on the non-radioactive risk assessment matrix, the second radiation risk level is determined.

5. The method according to claim 4, characterized in that The determining the second radiation risk level based on the non-radioactive risk assessment matrix diagram includes: Based on the non-radioactive risk assessment matrix, determining a non-radioactive risk value, wherein the non-radioactive risk value is the product of the risk possibility and the impact degree; Preset multiple non-radioactive radiation levels and non-radioactive risk value ranges corresponding to the multiple non-radioactive radiation levels; The second radiation risk level is determined based on the non-radioactive risk value and the plurality of non-radioactive radiation levels.

6. The method according to claims 1 to 5, characterized in that The step of determining a risk assessment result based on the first radiation risk level and the second radiation risk level by using fuzzy reasoning logic includes: Obtaining a fuzzy level indicator for decommissioning of the nuclear facility; Based on the fuzzy level index, the first radiation risk level and the second radiation risk level are fuzzified to obtain a fuzzy set; Determining a fuzzy risk assessment based on the fuzzified set; The fuzzy risk assessment is defuzzified to obtain the risk assessment result.

7. The method according to claim 6, characterized in that The first radiation risk level and the second radiation risk level are fuzzified based on the fuzzy level indicator to obtain a fuzzy set, including: Determine a first indicator based on the first radiation risk level and the fuzzy level indicator, wherein the first indicator includes one of the following: low risk, medium risk, and high risk, and the first indicator is used to indicate the level of risk of the first radiation risk level; Based on the second radiation risk level and the fuzzy level indicator, determining a second indicator, wherein the second indicator includes one of the following: low risk, medium risk, and high risk, and the second indicator is used to indicate the level of risk of the second radiation risk level; Determine a combination of the first indicator and the second indicator as the fuzzy combination.

8. A nuclear facility decommissioning radiation hazard risk assessment device, characterized in that: include: Acquisition module, used to obtain basic data of radiation sources in nuclear facility decommissioning; A classification module, used for classifying the basic data to obtain radioactive data and non-radioactive data; A first level module, used for determining a first radiation risk level corresponding to the radioactive data based on a single point risk matrix method; A second level module, for constructing a non-radioactive risk assessment matrix diagram based on the non-radioactive data, and determining a second radiation risk level corresponding to the non-radioactive data; A result module is used to determine a risk assessment result based on the first radiation risk level and the second radiation risk level by using fuzzy reasoning logic, wherein the fuzzy reasoning logic is used to fuzzy process the first radiation risk level and the second radiation risk level to obtain a risk level within the same range.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executed by a method for assessing radiation hazard risk of nuclear facility decommissioning as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of a method for assessing the risk of radiation hazards in nuclear facility decommissioning as described in any one of claims 1 to 7 are implemented.

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