Method, system, device and storage medium for evaluating load of nuclear power task

Abstract

The application relates to the technical field of nuclear power safety and human factors engineering. The application discloses a method, system, device and storage medium for evaluating the load of a nuclear power task, which can improve the rationality of nuclear power task allocation. The method comprises the following steps: obtaining a nuclear power task; decomposing the nuclear power task to obtain a plurality of first task elements; analyzing a target task element to obtain a first visual channel load value, a first auditory channel load value, a first cognitive channel load value and a first motor response channel load value, the target task element being any one of the plurality of first task elements; calculating a visual channel weight, an auditory channel weight, a cognitive channel weight and a motor response channel weight by using an analytic hierarchy process; and evaluating the first visual channel load value, the first auditory channel load value, the first cognitive channel load value, the first motor response channel load value, the visual channel weight, the auditory channel weight, the cognitive channel weight and the motor response channel weight by using an evaluation model to obtain an evaluation result.

Description

Technical Field

[0001] This application relates to the fields of nuclear power safety and human factors engineering. More specifically, this application relates to a method, system, apparatus, and storage medium for assessing the load of a nuclear power plant operation. Background Technology

[0002] Traditional methods for assessing the workload of nuclear power tasks, referencing patent application CN112686495A, involve collecting operator physiological data related to workload. Based on a weighted model of these physiological indicators within the principal components of workload, the corresponding principal component factor scores for the current physiological data are obtained. The assessment result (i.e., the workload assessment value in the document) is then obtained based on the weighted model of these principal components in workload assessment. These physiological indicators include: heart rate, heart rate variability, respiratory rate, respiratory amplitude, activity level, tilt, physiological intensity, mechanical intensity, training intensity, walking steps, physiological load, mechanical load, and training load. The walking steps record the number of steps taken by the operator during the task. Therefore, the assessment result is determined based on the operator's physiological indicators during the execution of the nuclear power task. However, this method, relying on data from task execution, cannot be applied to the allocation phase of nuclear power tasks. This makes it impossible to assess the reliability of the operator's performance of the task before it is executed, leading to unreasonable allocation of nuclear power tasks.

[0003] In addition, the equipment used to collect physiological indicators is expensive and the operation of the equipment is cumbersome, which not only increases the cost of assessing the load of nuclear power tasks, but also complicates the assessment process. Summary of the Invention

[0004] The purpose of this application is to provide a method, system, device, and storage medium for assessing the load of nuclear power tasks, which can improve the rationality of nuclear power task allocation, reduce assessment costs, and simplify the assessment process. This application is mainly achieved through the following technical solutions:

[0005] A first aspect of this application provides a method for assessing the load of a nuclear power plant operation, comprising:

[0006] Acquire nuclear power projects;

[0007] The nuclear power task is decomposed to obtain multiple first task elements;

[0008] The target task element is analyzed and processed to obtain the first visual channel load value, the first auditory channel load value, the first cognitive channel load value, and the first motor response channel load value corresponding to the target task element. The target task element is any one of the plurality of first task elements.

[0009] The weights of the visual channel, auditory channel, cognitive channel, and motor response channel for the nuclear power task were calculated using the analytic hierarchy process (AHP).

[0010] The first visual channel load value, the first auditory channel load value, the first cognitive channel load value, the first motor response channel load value, the visual channel weight, the auditory channel weight, the cognitive channel weight, and the motor response channel weight are input into the evaluation model for evaluation processing to obtain the evaluation result.

[0011] According to one embodiment of this application, the step of decomposing the nuclear power task to obtain multiple first task elements includes:

[0012] The nuclear power task is decomposed to obtain multiple first-level sub-tasks;

[0013] Each first-level subtask is decomposed to obtain multiple second-level subtasks corresponding to each first-level subtask;

[0014] Each secondary subtask is decomposed to obtain multiple secondary task elements corresponding to each secondary subtask;

[0015] All the second task elements constitute the plurality of first task elements.

[0016] According to one embodiment of this application, the step of analyzing and processing a target task element to obtain a first visual channel load value, a first auditory channel load value, a first cognitive channel load value, and a first motor response channel load value corresponding to the target task element includes:

[0017] The first behavioral element of the target task element in the visual dimension is determined based on the first preset rule;

[0018] The first visual channel load value corresponding to the first behavioral element is determined based on the second preset rule;

[0019] The second behavioral element of the target task element in the auditory dimension is determined based on the first preset rule;

[0020] The first auditory channel load value corresponding to the second behavioral element is determined based on the second preset rule;

[0021] The third behavioral element of the target task element in the cognitive dimension is determined based on the first preset rule;

[0022] The first cognitive channel load value corresponding to the third behavioral element is determined based on the second preset rule;

[0023] The fourth behavioral element of the target task element in the motion response dimension is determined based on the first preset rule;

[0024] The load value of the first motion response channel corresponding to the fourth behavioral element is determined based on the second preset rule.

[0025] According to one embodiment of this application, the steps of calculating the visual channel weights, auditory channel weights, cognitive channel weights, and motor response channel weights of the nuclear power task using the analytic hierarchy process include:

[0026] The importance scores for the visual channel, auditory channel, cognitive channel, and motor response channel are calculated based on the third preset rule.

[0027] A target matrix is ​​constructed based on the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel.

[0028] The target matrix is ​​subjected to hierarchical analysis to obtain the visual channel weights, the auditory channel weights, the cognitive channel weights, and the motor response channel weights.

[0029] According to one embodiment of this application, the step of constructing a target matrix based on the visual channel importance score, the auditory channel importance score, the cognitive channel importance score, and the motor response channel importance score includes:

[0030] The visual channel importance score is compared with the visual channel importance score, the auditory channel importance score, the cognitive channel importance score, and the motor response channel importance score to obtain the first row of data in the target matrix;

[0031] The importance score of the auditory channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel to obtain the second row of data in the target matrix.

[0032] The importance score of the cognitive channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel to obtain the third row of the target matrix.

[0033] The importance score of the motor response channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel, respectively, to obtain the fourth row of the target matrix.

[0034] According to one embodiment of this application, the step of performing hierarchical analysis on the target matrix to obtain the visual channel weights, the auditory channel weights, the cognitive channel weights, and the motor response channel weights includes:

[0035] Calculate the maximum value of the first row of data in the target matrix to obtain the first maximum value;

[0036] Calculate the maximum value of the second row of data in the target matrix to obtain the second maximum value;

[0037] Calculate the maximum value of the third row of data in the target matrix to obtain the third maximum value;

[0038] Calculate the maximum value of the fourth row of data in the target matrix to obtain the fourth maximum value;

[0039] The target feature is obtained by summing the first maximum value, the second maximum value, the third maximum value, and the fourth maximum value.

[0040] The visual channel weights are obtained based on the ratio of the first maximum value to the target feature.

[0041] The auditory channel weight is obtained based on the ratio of the second maximum value to the target feature.

[0042] The cognitive channel weight is obtained based on the ratio of the third maximum value to the target feature.

[0043] The motion response channel weights are obtained based on the ratio of the fourth maximum value to the target feature.

[0044] According to one embodiment of this application, the calculation formula of the evaluation model is as follows:

[0045] IWL = w V x V +w A x A +w C x C +w P x P ;

[0046] OWL1 = w V A V +w A A A +w C AC +w P A P ;

[0047]

[0048] Wherein, IWL is the instantaneous task load of the target task element; w V It is the visual channel weight; x V It is the load value of the first visual channel; w A It is the auditory channel weight; x A It is the load value of the first auditory channel; w C It is the cognitive channel weight; x C It is the load value of the first cognitive channel; w P It is the weight of the motion response channel; x P OWL1 is the pre-emptive total load of the nuclear power task; n is the total first motion reaction channel load at the instantaneous point in time; t i It is the i-th instantaneous time point; T is the total estimated time of the nuclear power task;

[0049] The instantaneous task load of the target task element and the pre-emptive overall task load of the nuclear power task are used together as the evaluation result.

[0050] A second aspect of this application provides a load assessment system for nuclear power plant operations, comprising:

[0051] The acquisition module is used to acquire nuclear power tasks;

[0052] The decomposition module is used to decompose the nuclear power task to obtain multiple first task elements;

[0053] The analysis module is used to analyze and process the target task element to obtain the first visual channel load value, the first auditory channel load value, the first cognitive channel load value and the first motor response channel load value corresponding to the target task element. The target task element is any one of the plurality of first task elements.

[0054] The calculation module is used to calculate the visual channel weights, auditory channel weights, cognitive channel weights, and motor response channel weights of the nuclear power task using the analytic hierarchy process (AHP).

[0055] The evaluation module is used to input the first visual channel load value, the first auditory channel load value, the first cognitive channel load value, the first motor response channel load value, the visual channel weight, the auditory channel weight, the cognitive channel weight, and the motor response channel weight into the evaluation model for evaluation processing to obtain the evaluation result.

[0056] A third aspect of this application provides a terminal device, including a processor and a memory, the memory being used to store a computer program, and the processor being used to call and run the computer program stored in the memory to perform the steps of the nuclear power task load assessment method provided in the first aspect of this application.

[0057] A fourth aspect of this application provides a computer-readable storage medium for storing a computer program that causes a computer to perform the steps of the load assessment method for nuclear power tasks provided in the first aspect of this application.

[0058] The beneficial effects of the embodiments of this application include:

[0059] This application embodiment obtains a nuclear power task; decomposes the nuclear power task to obtain multiple first task elements; analyzes the target task elements to obtain a first visual channel load value, a first auditory channel load value, a first cognitive channel load value, and a first motor response channel load value corresponding to the target task element, wherein the target task element is any one of the multiple first task elements; uses the analytic hierarchy process (AHP) to calculate the visual channel weight, auditory channel weight, cognitive channel weight, and motor response channel weight of the nuclear power task; inputs the first visual channel load value, the first auditory channel load value, the first cognitive channel load value, the first motor response channel load value, the visual channel weight, the auditory channel weight, the cognitive channel weight, and the motor response channel weight into an evaluation model for evaluation processing to obtain an evaluation result. Compared with the prior art, this application only needs to know the specific content of the nuclear power task, and does not require the physiological indicators of the operator during the execution of the nuclear power task, so that the evaluation of the nuclear power task can be realized. Therefore, the nuclear power task load evaluation method of this application embodiment can be applied to the nuclear power task allocation stage, and can allocate the nuclear power task to a suitable operator, thereby improving the rationality of nuclear power task allocation.

[0060] Furthermore, since the method for assessing the load of nuclear power tasks does not require the use of physiological indicators of operators during the execution of nuclear power tasks, the embodiments of this application do not require the use of data collection equipment for collecting physiological indicators, thereby reducing the assessment cost of nuclear power task load and simplifying the assessment process. Attached Figure Description

[0061] To more clearly illustrate the technical solutions in the embodiments of this application or the conventional technology, the drawings used in the description of the embodiments or the conventional technology will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0062] Figure 1 The flowcharts for the load assessment method of nuclear power plant operations according to this application are shown in some embodiments.

[0063] Figure 2 A reference diagram for breaking down the nuclear power mission of this application into multiple first-level sub-missions;

[0064] Figure 3 A reference diagram for breaking down the first-level subtasks of this application into multiple second-level subtasks;

[0065] Figure 4 A reference diagram for decomposing the secondary subtasks of this application into multiple secondary task elements;

[0066] Figure 5 A reference graph showing the correlation between the mission load values ​​calculated using the load assessment method for nuclear power missions in this application and the NASA-TLX mission load values;

[0067] Figure 6 A schematic block diagram of some embodiments of the load assessment system for nuclear power tasks according to this application;

[0068] Figure 7 This is a schematic block diagram of the terminal device of this application in some embodiments. Detailed Implementation

[0069] To make the above-mentioned objectives, features, and advantages of this application more apparent and understandable, the specific embodiments of this application are described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of this application. Therefore, this application is not limited to the specific embodiments disclosed below.

[0070] It should be noted that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0071] The terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0072] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are expressly listed, but may include other steps or units that are not expressly listed or that are inherent to such process, method, product, or apparatus.

[0073] Unless otherwise defined, all technical and scientific terms used in this application have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and / or" as used in this application includes any and all combinations of one or more of the associated listed items.

[0074] The specific embodiments of this application will be further described below with reference to the accompanying drawings.

[0075] refer to Figure 1 The diagram shown is a flowchart of a method for assessing the load of a nuclear power plant operation, provided in the first aspect of an embodiment of this application. Figure 1 The method for assessing the load of the nuclear power plant mission includes:

[0076] S1. Obtain nuclear power tasks.

[0077] S2. The nuclear power task is decomposed to obtain multiple first task elements.

[0078] Furthermore, step S2 includes:

[0079] S21. The nuclear power task is decomposed to obtain multiple first-level sub-tasks.

[0080] Step S21 can be referenced. Figure 2 As shown. In Figure 2 In this context, all of the multiple first-level subtasks belong to the first level of subtasks.

[0081] S22. Decompose each first-level subtask to obtain multiple second-level subtasks corresponding to each first-level subtask.

[0082] Step S22 can be referenced. Figure 3 As shown. In Figure 3In this context, all of the multiple secondary subtasks belong to the second level of subtasks.

[0083] It should be understood that each first-level subtask is a collection of multiple second-level subtasks.

[0084] S23. Decompose each secondary subtask to obtain multiple secondary task elements corresponding to each secondary subtask.

[0085] Step S23 can be referenced. Figure 4 As shown. In Figure 4 In this context, the multiple second task elements are described as visual channel task elements, auditory channel task elements, cognitive channel task elements, and behavioral response channel task elements. These visual channel task elements, auditory channel task elements, cognitive channel task elements, and behavioral response channel task elements all belong to the third-level sub-tasks; that is, all the multiple second task elements belong to the third-level sub-tasks. Figure 4 In this context, the visual channel task elements, the auditory channel task elements, the cognitive channel task elements, and the behavioral response channel task elements are collectively referred to as "actions".

[0086] It should be understood that each secondary subtask is a collection of multiple secondary task elements.

[0087] Each of the second task elements is a single, indivisible task.

[0088] In this embodiment of the application, the object corresponding to the second task element, the system involved, the device, and the estimated time required to complete the task can also be obtained through each second task element.

[0089] S24. All the second task elements constitute the plurality of first task elements. It should be understood that each second task element is a first task element.

[0090] S3. Analyze and process the target task element to obtain the first visual channel load value, the first auditory channel load value, the first cognitive channel load value, and the first motor response channel load value corresponding to the target task element. The target task element is any one of the plurality of first task elements.

[0091] Steps S2 and S3 can be understood as cognitive task analysis.

[0092] Further, the steps of analyzing and processing the target task elements to obtain the first visual channel load value, first auditory channel load value, first cognitive channel load value, and first motor response channel load value corresponding to the target task elements include:

[0093] S31. Determine the first behavioral element of the target task element in the visual dimension based on the first preset rule.

[0094] The first preset rule is the correspondence between the target task elements and the behavioral elements in the four dimensions of visual, auditory, cognitive, and motor response. The specific correspondence can be set by those skilled in the art according to actual needs.

[0095] For example, the correspondence between the four dimensions—visual dimension, auditory dimension, cognitive dimension, and motor response dimension—and behavioral elements can be seen in Table 1. Table 1 is the behavioral element table for the multi-resource model.

[0096] Table 1

[0097]

[0098]

[0099] In Table 1, the first behavioral element is selected from one of the following: perception / discovery, text symbol, search, inspection, comparison consistency, tracking, and alignment.

[0100] S32. Determine the first visual channel load value corresponding to the first behavioral element based on the second preset rule.

[0101] The second preset rule can be found in Table 2, which is a table of load values ​​for nuclear power task elements.

[0102] Table 2

[0103]

[0104]

[0105] For example, in Table 2, when the first behavioral element is "no visual activity" or related to "no visual activity", the load value of the first visual channel is 0; when the first behavioral element is "monitoring and scanning display instrument information" or related to "monitoring and scanning display instrument information", the load value of the first visual channel is 1; when the first behavioral element is "detecting changes in instrument information parameters" or related to "detecting changes in instrument information parameters", the load value of the first visual channel is 2; when the first behavioral element is "visually locating and locking specific information" or related to "visually locating and locking specific information", the load value of the first visual channel is 3; when the first behavioral element is... When the element is "continuously tracking and following a specific target" or is related to "continuously tracking and following a specific target," the load value of the first visual channel is 4; when the first behavioral element is "distinguishing symbols, numbers, and text information visually" or is related to "distinguishing symbols, numbers, and text information visually," the load value of the first visual channel is 5; when the first behavioral element is "distinguishing by integrating multi-dimensional visual information" or is related to "distinguishing by integrating multi-dimensional visual information," the load value of the first visual channel is 6; when the first behavioral element is "reading and interpreting instrument text information" or is related to "reading and interpreting instrument text information," the load value of the first visual channel is 7. Here, 0 represents no task load, and 7 represents a high task load.

[0106] S33. Determine the second behavioral element of the target task element in the auditory dimension based on the first preset rule.

[0107] In Table 1, the first behavioral element is selected from one of the following modes: perception / discovery, verification feedback, location, understanding, verification / location, comparison, and analysis.

[0108] S34. Determine the first auditory channel load value corresponding to the second behavioral element based on the second preset rule.

[0109] For example, in Table 2, when the second behavioral element is "no auditory activity" or related to "no auditory activity", the load value of the first auditory channel is 0; when the second behavioral element is "detecting abnormal sounds" or related to "detecting abnormal sounds", the load value of the first auditory channel is 1; when the second behavioral element is "distinguishing whether an alarm sound is heard" or related to "distinguishing whether an alarm sound is heard", the load value of the first auditory channel is 2; when the second behavioral element is "distinguishing the amplitude and tone changes of a single alarm" or related to "distinguishing the amplitude and tone changes of a single alarm", the load value of the first auditory channel is 2. The first auditory channel load value is 3; when the second behavioral element is "understanding the meaning of a single alarm voice information" or is related to "understanding the meaning of a single alarm voice information", the first auditory channel load value is 4; when the second behavioral element is "distinguishing multiple alarm sounds based on the tone and amplitude of the sound signal" or is related to "distinguishing multiple alarm sounds based on the tone and amplitude of the sound signal", the first auditory channel load value is 5; when the second behavioral element is "understanding the meaning of multiple alarm voice information" or is related to "understanding the meaning of multiple alarm voice information", the first auditory channel load value is 6.

[0110] S35. Determine the third behavioral element of the target task element in the cognitive dimension based on the first preset rule.

[0111] In Table 1, the third behavioral element is selected from one of the following: simple response, recognition, selective response, calculation, decision, recall / preparation, and judgment.

[0112] S36. Determine the first cognitive channel load value corresponding to the third behavioral element based on the second preset rule.

[0113] For example, in Table 2, when the third behavioral element is "no cognitive activity" or related to "no cognitive activity," the first cognitive channel load value is 0; when the third behavioral element is "automatic cognition" or related to "automatic cognition," the first cognitive channel load value is 1; when the third behavioral element is "cognitive understanding of symbols and characters" or related to "cognitive understanding of symbols and characters," the first cognitive channel load value is 2; when the third behavioral element is "cognitive selection from multiple options" or related to "cognitive selection from multiple options," the first cognitive channel load value is 3; when the third behavioral element is "mental understanding of information," the first cognitive channel load value is 3. When the third behavioral element is "encoding and decoding information" or is related to "encoding and decoding information in the mind", the first cognitive channel load value is 4; when the third behavioral element is "making an action plan in the mind" or is related to "making an action plan in the mind", the first cognitive channel load value is 5; when the third behavioral element is "making a comprehensive judgment and evaluation based on multi-dimensional information" or is related to "making a comprehensive judgment and evaluation based on multi-dimensional information", the first cognitive channel load value is 6; when the third behavioral element is "performing estimation and calculation, complex information conversion" or is related to "performing estimation and calculation, complex information conversion", the first cognitive channel load value is 7.

[0114] S37. Determine the fourth behavioral element of the target task element in the motion response dimension based on the first preset rule.

[0115] In Table 1, the fourth behavioral element is selected from one of speaking, arriving / converting, operating, adjusting / moving, controlling, typing, and writing / drawing.

[0116] S38. Determine the load value of the first motion response channel corresponding to the fourth behavioral element based on the second preset rule.

[0117] For example, in Table 2, when the fourth behavioral element is "no motion activity" or related to "no motion activity", the load value of the first motion response channel is 0; when the fourth behavioral element is "low-frequency discrete action" or related to "low-frequency discrete action", the load value of the first motion response channel is 1; when the fourth behavioral element is "discontinuous adjustment action" or related to "discontinuous adjustment action", the load value of the first motion response channel is 2; when the fourth behavioral element is "speaking in a preset form" or related to "speaking in a preset form", the load value of the first motion response channel is... The first motor response channel load value is 4 when the fourth behavioral element is "continuous adjustment action" or related to "continuous adjustment action"; the first motor response channel load value is 5 when the fourth behavioral element is "large-range limb operation" or related to "large-range limb operation"; the first motor response channel load value is 6 when the fourth behavioral element is "continuous operation" or related to "continuous operation"; and the first motor response channel load value is 7 when the fourth behavioral element is "continuous back and forth walking and picking up objects" or related to "continuous back and forth walking and picking up objects".

[0118] It should be understood that the embodiments of this application are based on Wickens' multi-resource theory and employ expert evaluation to obtain the nuclear power task element load value analysis table for the visual, auditory, cognitive, and motor response (i.e., behavioral response) characteristics involved in nuclear power task operation. The multi-resource theory states that during task execution, the load of each type of task can be decomposed into 28 behavioral elements under four task load sub-dimensions: visual (V), auditory (A), cognitive (C), and motor response (P), as shown in Table 1.

[0119] Based on multi-resource theory and the behavioral element table of the multi-resource model, an expert evaluation method is used to determine the load value analysis table for nuclear power task elements. For example, in this embodiment, two human factors engineering experts with 10 years of research experience and two nuclear power field experts with over 10 years of nuclear power operation experience were invited to independently formulate and then discuss and summarize the findings to reach a consensus. Together, they determined the four sub-dimensional load classifications for nuclear power task elements and, based on the characteristics of nuclear power tasks, determined the behavioral elements of each load sub-dimensional and their corresponding load values ​​(0-7 points), where 0 represents no task load and 7 represents high task load.

[0120] S4. The weights of the visual channel, auditory channel, cognitive channel, and motor response channel of the nuclear power task are calculated using the analytic hierarchy process (AHP).

[0121] Furthermore, step S4 includes:

[0122] S41. Calculate the importance scores of the visual channel, auditory channel, cognitive channel, and motor response channel based on the third preset rule.

[0123] Furthermore, step S41 includes:

[0124] S411, Set multiple first preset importance levels and the number of each first preset importance level.

[0125] Each first preset importance level is a numerical value, and the specific value can be set by those skilled in the art according to actual needs.

[0126] S412. Calculate the visual channel importance score based on the multiple first preset importance levels and the number of each first preset importance level.

[0127] Specifically, the calculation formula for step S412 is as follows:

[0128]

[0129] Among them, S V It is the visual channel importance score; N1 is the sum of the number of all first preset importance scores; n V1 It is the quantity of the first type of primary presupposition importance; D V1 It is the first type of primary presupposition importance; n V2 It is the quantity of the second type of first-presupposed importance; D V2 It is the second type of primary presupposition importance; n V3 It is the number of the third type of primary presupposition importance; D V3 It is the third type of primary presupposition importance; n Vm D is the number of the m-th type of first preset importance. Vm This represents the importance of the m-th type of first preset. In this paper, V represents the visual channel (i.e., visual dimension).

[0130] S413, Set multiple levels of importance for the second preset and the number of each level of importance.

[0131] Each second preset importance level is a numerical value, and the specific value can be set by those skilled in the art according to actual needs.

[0132] S414. Calculate the auditory channel importance score based on the multiple second preset importance levels and the number of each second preset importance level.

[0133] Specifically, the calculation formula for step S414 is as follows:

[0134]

[0135] Among them, S A N is the importance score of the auditory channel; N2 is the sum of the number of all second-preset importance scores; n A1 It is the quantity of the first type of second presupposition importance; D A1 It is the first type of second presupposition of importance; n A2 It is the quantity of the second type of second-presupposed importance; D A2 It is the second type of second presupposition importance; n A3 It is the quantity of the third type of second presupposed importance; D A3 It is the third type of second presupposition importance; n Am It is the number of the m-th type of second preset importance; D Am This represents the importance of the m-th second presupposition. In this paper, A represents the auditory channel (i.e., the auditory dimension).

[0136] S415, Set the importance of multiple third presets and the number of each third preset importance level.

[0137] Each third preset importance level is a numerical value, and the specific value can be set by those skilled in the art according to actual needs.

[0138] S416. Calculate the cognitive channel importance score based on the multiple third preset importance levels and the number of each third preset importance level.

[0139] Specifically, the calculation formula for step S416 is as follows:

[0140]

[0141] Among them, S C N is the importance score of the cognitive channel; N3 is the sum of the number of all third-preset importance scores; n C1 It is the number of the first type of third presupposition importance; D C1 It is the first type of third presupposition of importance; n C2 It is the number of the second and third preset importance levels; D C2 It is the second type of third presupposition of importance; n C3 It is the number of the third type of presupposed importance; D C3 It is the third type of third presupposition importance; n Cm It is the number of the m-th type of third preset importance; D Cm This represents the importance of the m-th third presupposition. In this paper, C represents the cognitive channel (i.e., the cognitive dimension).

[0142] S417, Set multiple fourth preset importance levels and the number of each fourth preset importance level.

[0143] Each of the fourth preset importance levels is a numerical value, and the specific value can be set by those skilled in the art according to actual needs.

[0144] S418. Calculate the importance score of the motion response channel based on the multiple fourth preset importance levels and the number of each fourth preset importance level.

[0145] Specifically, the calculation formula for step S418 is as follows:

[0146]

[0147] Among them, S P N is the importance score of the motion response channel; N4 is the sum of the number of all fourth preset importance levels; n P1 It is the quantity of the first type of fourth presupposition importance; D P1 It is the first type of fourth presupposition importance; n P2 It is the quantity of the second type of fourth presupposed importance; D P2 It is the second type of fourth presupposition importance; n P3 It is the number of the third type of fourth presupposition importance; D P3 It is the third type of fourth presupposed importance level; n Pm It is the number of the m-th type of fourth preset importance; D Pm This is the m-th type of fourth presupposition importance. In this article, P represents the motion response channel (i.e., the motion response dimension).

[0148] For example, in this embodiment of the application, several nuclear power plant operation experts (the number of nuclear power plant operation experts is denoted as N; to ensure the reliability of the method, it is recommended that N≥10) are used to score the importance of four task load sub-dimensions (visual, auditory, cognitive, and motor response) in contributing to the total load, based on the characteristics of the nuclear power plant task during the evaluation period (e.g., using an m-point scale, where higher scores indicate higher importance). In other words, the multiple first preset importance levels, multiple second preset importance levels, multiple third preset importance levels, and multiple fourth preset importance levels are all obtained from the scores given by the several nuclear power plant operation experts.

[0149] S42. Construct a target matrix based on the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel.

[0150] Furthermore, step S42 includes:

[0151] S421. The importance score of the visual channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel to obtain the first row of data of the target matrix.

[0152] Specifically, the formula for comparing the visual channel importance scores is as follows:

[0153] The formula for comparing the visual channel importance score with the auditory channel importance score is as follows:

[0154] The formula for comparing the visual channel importance score with the cognitive channel importance score is as follows:

[0155] The formula for comparing the visual channel importance score with the motion response channel importance score is as follows:

[0156] Therefore, the first row of the target matrix is ​​S. VV S VA S VC and S VP .

[0157] S422. The importance score of the auditory channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel to obtain the second row of data in the target matrix.

[0158] Specifically, the formula for comparing the importance score of the auditory channel with the importance score of the visual channel is as follows:

[0159] The formula for comparing the auditory channel importance score with the auditory channel importance score is as follows:

[0160] The formula for comparing the importance score of the auditory channel with the importance score of the cognitive channel is as follows:

[0161] The formula for comparing the importance score of the auditory channel with the importance score of the motor response channel is as follows:

[0162] Therefore, the second row of the target matrix is ​​S. AV S AA S AC and S AP .

[0163] S423. The importance score of the cognitive channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel to obtain the third row of the target matrix.

[0164] Specifically, the formula for comparing the importance score of the cognitive channel with the importance score of the visual channel is as follows:

[0165] The formula for comparing the importance score of the cognitive channel with the importance score of the auditory channel is as follows:

[0166] The formula for comparing the cognitive channel importance score with the cognitive channel importance score is as follows:

[0167] The formula for comparing the importance score of the cognitive channel with the importance score of the motor response channel is as follows:

[0168] Therefore, the third row of the target matrix is ​​S. CV S CA S CC and S CP .

[0169] S424. The importance score of the motor response channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel to obtain the fourth row of the target matrix.

[0170] Specifically, the formula for comparing the importance score of the motion response channel with the importance score of the visual channel is as follows:

[0171] The formula for comparing the importance score of the motor response channel with the importance score of the auditory channel is as follows:

[0172] The formula for comparing the importance score of the motor response channel with the importance score of the cognitive channel is as follows:

[0173] The formula for comparing the importance score of the motion response channel with the importance score of the motion response channel is as follows:

[0174] Therefore, the fourth row of the target matrix is ​​S. PV S PA S PC and SPP .

[0175] The overall description of the target matrix is ​​as follows:

[0176] It should also be understood that the target matrix needs to satisfy the consistency check.

[0177] S43. Perform hierarchical analysis on the target matrix to obtain the visual channel weights, the auditory channel weights, the cognitive channel weights, and the motor response channel weights.

[0178] Furthermore, step S43 includes:

[0179] S431. Calculate the maximum value of the first row of data in the target matrix to obtain the first maximum value.

[0180] S432. Calculate the maximum value of the second row of data in the target matrix to obtain the second maximum value.

[0181] S433. Calculate the maximum value of the third row of data in the target matrix to obtain the third maximum value.

[0182] S434. Calculate the maximum value of the fourth row of data in the target matrix to obtain the fourth maximum value.

[0183] S435. Summing the first maximum value, the second maximum value, the third maximum value, and the fourth maximum value yields the target feature.

[0184] S436. Based on the ratio of the first maximum value to the target feature, obtain the visual channel weight.

[0185] S437. Based on the ratio of the second maximum value to the target feature, obtain the auditory channel weight.

[0186] S438. Based on the ratio of the third maximum value to the target feature, obtain the cognitive channel weight.

[0187] S439. Based on the ratio of the fourth maximum value to the target feature, obtain the motion response channel weight.

[0188] The sum of the visual channel weight, the auditory channel weight, the cognitive channel weight, and the motor response channel weight is 1.

[0189] S5. Input the first visual channel load value, the first auditory channel load value, the first cognitive channel load value, the first motor response channel load value, the visual channel weight, the auditory channel weight, the cognitive channel weight, and the motor response channel weight into the evaluation model for evaluation processing to obtain the evaluation result.

[0190] The evaluation results include the instantaneous workload of the target task element and the pre-emptive overall workload of the nuclear power task. The instantaneous workload of the target task element can be understood as the instantaneous workload (IWL) of a single task element, and the pre-emptive overall workload of the nuclear power task can be understood as the overall workload (OWL1) of a certain period or a certain overall task.

[0191] Furthermore, the calculation formula for the evaluation model is as follows:

[0192] IWL = w V x V +w A x A +w C x C +w P x P ;

[0193] OWL1 = w V A V +w A A A +w C A C +w P A P ;

[0194]

[0195] Wherein, IWL is the instantaneous task load of the target task element, which can also be understood as the instantaneous task load of a single task element; w V It is the visual channel weight; x V It is the load value of the first visual channel; w A It is the auditory channel weight; x A It is the load value of the first auditory channel; w C It is the cognitive channel weight; x C It is the load value of the first cognitive channel; w P It is the weight of the motion response channel; x P OWL1 is the load value of the first motion reaction channel; OWL1 is the pre-emptive overall task load of the nuclear power task, and OWL1 can also be the overall task load for a certain period of time; n is the total load value of the first motion reaction channel at an instant; t i It is the i-th instantaneous time point; T is the total estimated time of the nuclear power task. A V It is the second visual channel load value; A A It is the load value of the second auditory channel; A CIt is the second cognitive channel load value; A P This is the load value of the second motor response channel. The load values ​​of the second visual channel, the second auditory channel, the second cognitive channel, and the second motor response channel together constitute the VCP task load for nuclear power missions.

[0196] The instantaneous task load of the target task element and the pre-emptive overall task load of the nuclear power task are used together as the evaluation result.

[0197] In other embodiments, the formula for calculating the overall pre-emptive workload of the nuclear power task may also be as follows:

[0198]

[0199] It should also be understood that, regarding task time, the estimated time of the second-level subtask can be determined by accumulating the estimated time of all action elements under the second-level subtask; the estimated time of the first-level subtask can be obtained by accumulating the time of all second-level subtasks under the first-level subtask; and the total estimated time of the nuclear power task can be determined by accumulating the estimated time of all first-level subtasks under a nuclear power task.

[0200] In the above embodiments, compared with the prior art, this application only needs to know the specific content of the nuclear power task and does not require the operator's physiological indicators during the execution of the nuclear power task to achieve the assessment of the nuclear power task. Therefore, the nuclear power task load assessment method of this application embodiment can be applied to the nuclear power task allocation stage and can allocate nuclear power tasks to suitable operators, thereby improving the rationality of nuclear power task allocation. Furthermore, since the nuclear power task load assessment method does not require the use of the operator's physiological indicators during the execution of the nuclear power task, the embodiments of this application do not require the use of physiological indicator collection equipment, thereby reducing the assessment cost of nuclear power task load and simplifying the assessment process.

[0201] The proposed method for assessing the load of nuclear power tasks allows for pre-prediction (i.e., pre-assessment) of personnel workload under known task specifications and procedures. This addresses the problems of lag, subjectivity, and low reliability inherent in current subjective measurement methods, as well as the insufficient reliability and effectiveness, and complex data collection and processing issues associated with physiological measurement methods. The method is highly operable and easily applied in nuclear power practice. It is flexible, capable of calculating instantaneous workload for a single task element to assess the rationality of its configuration, and also capable of calculating workload for any given time period to evaluate the workload over a longer period and the rationality of task configuration, thus contributing to the optimization of nuclear power task design and allocation.

[0202] This application validates the evaluation model by conducting nuclear power task simulation experiments. Specifically, nuclear power task simulation experiments are conducted based on four typical nuclear power test tasks. According to nuclear power experts, these four tasks are considered to have different levels of difficulty, effectively distinguishing task load levels. Using the aforementioned cognitive task analysis method, three nuclear power human factors experts conducted cognitive task analysis on these four tasks and calculated the sub-dimensional task load of each task type before the experiment using the aforementioned nuclear power task load evaluation method. The nuclear power task simulation experiment was conducted using a within-subjects design method, with the within-subjects factor being the task type (i.e., the four task types mentioned above), presented to the experimental subjects in a balanced Latin square order. Twenty-two operators from nuclear power plants were used as subjects in the nuclear power simulation experiment. These operators were very familiar with the aforementioned nuclear power operation tasks, had many years of nuclear power operation experience, and could be considered nuclear power task operation experts. The operators were required to perform nuclear power task operations on the nuclear power simulation system according to the experimental sequence. After completing each type of nuclear power task, each operator must complete a NASA-TLX workload questionnaire (the internationally recognized gold standard for assessing workload) to evaluate the actual workload generated during the task. Operators must also rate the importance of four workload sub-dimensions (visual, auditory, cognitive, and motor response) within the total workload of the completed task on a 5-point scale.

[0203] After the experiment, based on the importance scores of each worker, the weight of each worker's workload sub-dimensional index for each task was obtained using the analytic hierarchy process (AHP). Then, based on the established evaluation model, the total workload value for each worker in completing each task was calculated. In practice, the importance scores of all workers can be combined to form a set of workload sub-dimensional index weights for each task.

[0204] During the validation process, correlation and regression analyses were performed on the NASA-TLX mission load values ​​collected from nuclear power mission simulation experiments and the assessment method for the nuclear power mission load. Correlation analysis showed that the mission load values ​​calculated using the nuclear power mission load assessment method (i.e., the assessment results) were significantly correlated with the NASA-TLX mission load values ​​(e.g., r = 0.864, p < 0.001). Regression analysis showed that the mission load values ​​calculated using the assessment model (i.e., the assessment results) could significantly predict the NASA-TLX mission load values ​​(R0). 2 =0.75, p<0.001 (Reference) Figure 5 (As shown). Therefore, the assessment model can effectively replace the NASA-TLX scale, which requires ex-post assessment, to predict the workload of nuclear power plant workers (i.e., operators) in advance, while ensuring accuracy.

[0205] Furthermore, a correlation analysis is performed between the sub-dimensional load estimates calculated by the load assessment method for the nuclear power mission and the NASA-TLX mission load values ​​to further validate the assessment model. For example, the correlation results between the sub-dimensional load estimates calculated by the load assessment method for the nuclear power mission and the NASA-TLX mission load values ​​can be found in Table 3.

[0206] Table 3

[0207] Subdimension r Normalized r p Visual 0.789 0.301 <0.001 Hearing 0.356 0.136 <0.001 cognition 0.703 0.269 <0.001 Motor response 0.769 0.294 <0.001

[0208] In Table 3, r is the correlation coefficient and p is the significance of the correlation.

[0209] In Table 3, all sub-dimension load values ​​are significantly correlated with the NASA-TLX mission load values ​​(p's < 0.001, p's represents the multiple test for evaluation). Their correlation coefficients, after normalization (constraining the sum of these four parameters to equal 1), are 0.301, 0.136, 0.269, and 0.294, respectively. This normalized correlation coefficient can be defined as the load weighting coefficient, thus obtaining the empirical assessment model of nuclear power mission load based on experimental data (this empirical assessment model of nuclear power mission load is the model used in the validation process):

[0210] Y = 0.301A V +0.136A A +0.269A C +0.294A P .

[0211] Furthermore, during the validation process, based on the preset importance scores, the weights of the load sub-dimension indicators were obtained as 0.3, 0.1, 0.3, and 0.3, respectively. The calculation formula for the validation evaluation model is as follows: OWL2 = 0.3A V +0.1A A +0.3A C +0.3A P .

[0212] The task load weight coefficient fitted based on experimental data is basically consistent with the task load weight coefficient calculated by the evaluation method based on nuclear power task load. Therefore, the accuracy and effectiveness of the weight calculation method in the evaluation model are verified.

[0213] refer to Figure 6 The diagram shown is a schematic block diagram of a load assessment system for nuclear power tasks provided in the second aspect of an embodiment of this application. Figure 6 The load assessment system 100 for the nuclear power task includes:

[0214] Module 101 is used to acquire nuclear power tasks;

[0215] The decomposition module 102 is used to decompose the nuclear power task to obtain multiple first task elements;

[0216] Analysis module 103 is used to analyze and process the target task element to obtain the first visual channel load value, the first auditory channel load value, the first cognitive channel load value and the first motor response channel load value corresponding to the target task element, wherein the target task element is any one of the plurality of first task elements;

[0217] Calculation module 104 is used to calculate the visual channel weight, auditory channel weight, cognitive channel weight and motor response channel weight of the nuclear power task using the analytic hierarchy process (AHP).

[0218] The evaluation module 105 is used to input the first visual channel load value, the first auditory channel load value, the first cognitive channel load value, the first motor response channel load value, the visual channel weight, the auditory channel weight, the cognitive channel weight, and the motor response channel weight into the evaluation model for evaluation processing to obtain the evaluation result.

[0219] A third aspect of this application provides a terminal device, the schematic diagram of which is as follows: Figure 7 As shown. The terminal device includes a processor, memory, network interface, display screen, and temperature sensor connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the terminal device is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for assessing the load of nuclear power tasks. The display screen can be a liquid crystal display screen or an e-ink display screen, and the temperature sensor is pre-installed inside the terminal device to detect the operating temperature of internal equipment.

[0220] Those skilled in the art will understand that Figure 7 The schematic diagram shown is only a partial structural diagram related to the present invention and does not constitute a limitation on the terminal device to which the present invention is applied. The specific terminal device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0221] In some embodiments, this application provides a terminal device including a processor and a memory. The memory stores a computer program, and the processor calls and runs the computer program stored in the memory to perform the steps of the nuclear power task load assessment method provided in the first aspect of this application. In a fourth aspect, this application provides a computer-readable storage medium storing a computer program that causes a computer to perform the steps of the nuclear power task load assessment method provided in the first aspect of this application.

[0222] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0223] The technical features of the above embodiments can be combined without changing the basic principles of this application. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0224] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the patent protection scope of this application should be determined by the appended claims.

Claims

1. A method for assessing the load of a nuclear power plant operation, characterized in that, include: Acquire nuclear power projects; The nuclear power task is decomposed to obtain multiple first task elements; The target task element is analyzed and processed to obtain the first visual channel load value, the first auditory channel load value, the first cognitive channel load value, and the first motor response channel load value corresponding to the target task element. The target task element is any one of the plurality of first task elements. The weights of the visual channel, auditory channel, cognitive channel, and motor response channel for the nuclear power task were calculated using the analytic hierarchy process (AHP). The first visual channel load value, the first auditory channel load value, the first cognitive channel load value, the first motor response channel load value, the visual channel weight, the auditory channel weight, the cognitive channel weight, and the motor response channel weight are input into the evaluation model for evaluation processing to obtain the evaluation result.

2. The method for assessing the load of nuclear power plant operations according to claim 1, characterized in that, The steps of decomposing the nuclear power task to obtain multiple first task elements include: The nuclear power task is decomposed to obtain multiple first-level sub-tasks; Each first-level subtask is decomposed to obtain multiple second-level subtasks corresponding to each first-level subtask; Each secondary subtask is decomposed to obtain multiple secondary task elements corresponding to each secondary subtask; All the second task elements constitute the plurality of first task elements.

3. The method for assessing the load of nuclear power plant operations according to claim 1, characterized in that, The steps of analyzing and processing target task elements to obtain the first visual channel load value, first auditory channel load value, first cognitive channel load value, and first motor response channel load value corresponding to the target task elements include: The first behavioral element of the target task element in the visual dimension is determined based on the first preset rule; The first visual channel load value corresponding to the first behavioral element is determined based on the second preset rule; The second behavioral element of the target task element in the auditory dimension is determined based on the first preset rule; The first auditory channel load value corresponding to the second behavioral element is determined based on the second preset rule; The third behavioral element of the target task element in the cognitive dimension is determined based on the first preset rule; The first cognitive channel load value corresponding to the third behavioral element is determined based on the second preset rule; The fourth behavioral element of the target task element in the motion response dimension is determined based on the first preset rule; The load value of the first motion response channel corresponding to the fourth behavioral element is determined based on the second preset rule.

4. The method for assessing the load of nuclear power plant operations according to claim 1, characterized in that, The steps for calculating the visual channel weights, auditory channel weights, cognitive channel weights, and motor response channel weights for the nuclear power task using the analytic hierarchy process (AHP) include: The importance scores for the visual channel, auditory channel, cognitive channel, and motor response channel are calculated based on the third preset rule. A target matrix is ​​constructed based on the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel. The target matrix is ​​subjected to hierarchical analysis to obtain the visual channel weights, the auditory channel weights, the cognitive channel weights, and the motor response channel weights.

5. The method for assessing the load of nuclear power plant operations according to claim 4, characterized in that, The steps for constructing a target matrix based on the visual channel importance score, the auditory channel importance score, the cognitive channel importance score, and the motor response channel importance score include: The visual channel importance score is compared with the visual channel importance score, the auditory channel importance score, the cognitive channel importance score, and the motor response channel importance score to obtain the first row of data in the target matrix; The importance score of the auditory channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel to obtain the second row of data in the target matrix. The importance score of the cognitive channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel to obtain the third row of the target matrix. The importance score of the motor response channel is compared with the importance scores of the visual channel, the auditory channel, the cognitive channel, and the motor response channel, respectively, to obtain the fourth row of the target matrix.

6. The method for assessing the load of nuclear power plant operations according to claim 4, characterized in that, The steps of performing hierarchical analysis on the target matrix to obtain the visual channel weights, auditory channel weights, cognitive channel weights, and motor response channel weights include: Calculate the maximum value of the first row of data in the target matrix to obtain the first maximum value; Calculate the maximum value of the second row of data in the target matrix to obtain the second maximum value; Calculate the maximum value of the third row of data in the target matrix to obtain the third maximum value; Calculate the maximum value of the fourth row of data in the target matrix to obtain the fourth maximum value; The target feature is obtained by summing the first maximum value, the second maximum value, the third maximum value, and the fourth maximum value. The visual channel weights are obtained based on the ratio of the first maximum value to the target feature. The auditory channel weight is obtained based on the ratio of the second maximum value to the target feature. The cognitive channel weight is obtained based on the ratio of the third maximum value to the target feature. The motion response channel weights are obtained based on the ratio of the fourth maximum value to the target feature.

7. The method for assessing the load of nuclear power plant operations according to claim 1, characterized in that, The calculation formula for the evaluation model is as follows: IWL=w V x V +w A x A +w C x C +w P x P ; OWL1=w V A V +w A A A +w C A C +w P A P ; Wherein, IWL is the instantaneous task load of the target task element; w V It is the visual channel weight; x V It is the load value of the first visual channel; w A It is the auditory channel weight; x A It is the load value of the first auditory channel; w C It is the cognitive channel weight; x C It is the load value of the first cognitive channel; w P It is the weight of the motion response channel; x P OWL1 is the pre-emptive total load of the nuclear power task; n is the total first motion reaction channel load at the instantaneous point in time; t i It is the i-th instantaneous time point; T is the total estimated time of the nuclear power task; The instantaneous task load of the target task element and the pre-emptive overall task load of the nuclear power task are used together as the evaluation result.

8. A load assessment system for nuclear power plant operations, characterized in that, include: The acquisition module is used to acquire nuclear power tasks; The decomposition module is used to decompose the nuclear power task to obtain multiple first task elements; The analysis module is used to analyze and process the target task element to obtain the first visual channel load value, the first auditory channel load value, the first cognitive channel load value and the first motor response channel load value corresponding to the target task element. The target task element is any one of the plurality of first task elements. The calculation module is used to calculate the visual channel weights, auditory channel weights, cognitive channel weights, and motor response channel weights of the nuclear power task using the analytic hierarchy process (AHP). The evaluation module is used to input the first visual channel load value, the first auditory channel load value, the first cognitive channel load value, the first motor response channel load value, the visual channel weight, the auditory channel weight, the cognitive channel weight, and the motor response channel weight into the evaluation model for evaluation processing to obtain the evaluation result.

9. A terminal device, characterized in that, include: A processor and a memory for storing a computer program, the processor for calling and running the computer program stored in the memory to perform the steps of the load assessment method for a nuclear power task as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store a computer program that causes a computer to perform the steps of the load assessment method for nuclear power tasks as described in any one of claims 1 to 7.

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