Knowledge and skill assessment method and device for nuclear power plant employees and electronic equipment

Abstract

The invention is suitable for the technical field of nuclear power, and provides a knowledge and skill assessment method and device for nuclear power plant employees and electronic equipment. According to the identity information, obtaining questions asked by the to-be-evaluated employee in a trained question and answer model; wherein the trained question and answer model is obtained through training according to knowledge and skills involved in the systematic training method of the nuclear power plant; and according to the knowledge skills related to the systematic training method and needing to be grasped by the to-be-evaluated employee and the acquired question, evaluating the grasping degree of the to-be-evaluated employee on the knowledge skills related to the systematic training method. Through the method, the accuracy of the obtained evaluation result can be improved.

Description

Technical Field

[0001] The present application belongs to the field of nuclear power technology, and in particular, relates to a method, device, electronic device, computer-readable storage medium, and computer program product for evaluating the knowledge and skills of nuclear power plant employees. Background Art

[0002] The Systematic Approach to Training (SAT) for nuclear power plants is a procedural training method advocated and promoted by the International Atomic Energy Agency. It is a development and expansion of the systematic training model. The SAT method is mainly aimed at specific jobs. It determines the comprehensive work ability requirements required of personnel in the job by analyzing job tasks and related knowledge, skills, attitudes, etc., and achieves these requirements by implementing the training outline, while evaluating the entire training process.

[0003] In actual work, employees’ mastery of the knowledge and skills required for SAT is generally tested through regular job skills assessments and authorized refresher training, but this approach makes it difficult to obtain accurate assessment results.

[0004] Therefore, it is necessary to provide a new assessment method to evaluate the knowledge and skills of nuclear power plant employees. Summary of the invention

[0005] The embodiments of the present application provide a method, device and electronic equipment for evaluating the knowledge and skills of nuclear power plant employees, which can solve the problem of low accuracy in the existing evaluation of the knowledge and skills mastery of nuclear power plant employees.

[0006] In a first aspect, an embodiment of the present application provides a method for evaluating the knowledge and skills of nuclear power plant employees, including:

[0007] Determine the identity of the employee to be evaluated;

[0008] Obtaining, based on the identity information, questions that the employee to be evaluated has asked in a trained question-and-answer model; wherein the trained question-and-answer model is obtained based on knowledge and skills training involved in a systematic training method of a nuclear power plant;

[0009] Based on the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master and the questions obtained, the degree of mastery of the knowledge and skills involved in the systematic training method by the employee to be evaluated is evaluated.

[0010] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0011] In the embodiment of the present application, since the trained question-answering model is obtained by training according to the knowledge and skills involved in the systematic training method of the nuclear power plant, that is, the question-answering content of the trained question-answering model is related to the knowledge and skills involved in the systematic training method of the nuclear power plant, and the questions asked by the employees to be evaluated must be knowledge and skills that they are not clear about (or have not mastered), therefore, the questions that the employees to be evaluated have asked in the trained question-answering model can more accurately reflect the knowledge and skills that the employees to be evaluated have not mastered, and the knowledge and skills that have not been mastered belong to the knowledge and skills involved in the systematic training method. That is, in the embodiment of the present application, according to the knowledge and skills involved in the systematic training method that the employees to be evaluated need to master and the questions obtained, the mastery of the knowledge and skills involved in the systematic training method by the employees to be evaluated is evaluated, and the obtained evaluation results can better reflect the mastery of the knowledge and skills by the employees to be evaluated, thereby improving the accuracy of the obtained evaluation results.

[0012] In a second aspect, an embodiment of the present application provides a knowledge and skills assessment device for nuclear power plant employees, comprising:

[0013] An identity information determination module, used to determine the identity information of the employee to be evaluated;

[0014] A historical question acquisition module, used to acquire questions that the employee to be evaluated has asked in the trained question-answering model according to the identity information; wherein the trained question-answering model is obtained according to the knowledge and skills training involved in the systematic training method of the nuclear power plant;

[0015] The knowledge and skills mastery assessment module is used to assess the mastery of the knowledge and skills involved in the systematic training method by the employee to be assessed based on the knowledge and skills involved in the systematic training method that the employee to be assessed needs to master and the questions obtained.

[0016] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect when executing the computer program.

[0017] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in the first aspect is implemented.

[0018] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, wherein when the computer program is executed, the method described in the first aspect is executed.

[0019] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0021] Figure 1 It is a flowchart of a method for evaluating knowledge and skills of nuclear power plant employees provided in one embodiment of the present application;

[0022] Figure 2 It is a structural schematic diagram of a knowledge and skills assessment device for nuclear power plant employees provided in one embodiment of the present application;

[0023] Figure 3 It is a structural schematic diagram of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0024] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0025] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0026] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0027] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the phrases "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. appearing in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways.

[0028] A nuclear power plant, also known as a nuclear power plant, is a facility that uses a nuclear reactor to convert nuclear energy into electrical energy. Since the nuclear reaction process produces radioactive waste, how to maintain a nuclear power plant to improve its safety is extremely important.

[0029] In order to improve the safety of nuclear power plants, it is first necessary to ensure that the employees of nuclear power plants are aware of the various requirements and regulations of nuclear power plants and master the knowledge and skills required for their positions.

[0030] In actual work, employees’ mastery of the knowledge and skills required for SAT is generally tested through regular job skills assessment and authorized refresher training. However, this approach has the following disadvantages: This type of assessment is not regular. Due to the busy work of nuclear power, employees often use concentrated time review on the eve of assessment and evaluation to obtain the expected evaluation results, but the evaluation results cannot truly reflect the employees’ accurate mastery of knowledge and skills, that is, using the SAT assessment results as the evaluation results will lead to lower accuracy of the evaluation results.

[0031] In order to improve the accuracy of the evaluation results of the knowledge and skills mastered by nuclear power plant employees, the embodiment of the present application provides a knowledge and skills evaluation method for nuclear power plant employees. In this method, the employee to be evaluated is evaluated based on the questions asked by the employee to be evaluated in the trained question model and the knowledge and skills that the employee to be evaluated needs to master.

[0032] The knowledge and skills assessment method for nuclear power plant employees provided in an embodiment of the present application is described below in conjunction with the accompanying drawings.

[0033] Figure 1 A flow chart of a knowledge and skills assessment method for nuclear power plant employees provided in an embodiment of the present application is shown. The method can be applied to electronic devices, and is described in detail as follows:

[0034] S11, determining the identity information of the employee to be evaluated.

[0035] The employees to be evaluated are employees in the nuclear power plant who need to undergo knowledge and skills evaluation. For example, when evaluating knowledge and skills according to departments of the nuclear power plant, all employees of the departments to be evaluated can be used as the employees to be evaluated.

[0036] In the embodiment of the present application, the identity information of the employee to be evaluated is used to uniquely represent the identity of the employee to be evaluated in the nuclear power plant. The identity information can be the ID number of the employee to be evaluated, or the unique number of the employee to be evaluated in the nuclear power plant.

[0037] S12, obtaining questions that the employee to be evaluated has asked in the trained question-answering model based on the identity information; wherein the trained question-answering model is obtained based on the knowledge and skills training involved in the systematic training method of the nuclear power plant.

[0038] The question-answering model here can be a large language model (LLM), which is an artificial intelligence model designed to understand and generate human language. Since LLM has the characteristics of a wide range of application fields, that is, it can handle a variety of natural language tasks and has strong generation capabilities, therefore, when the trained question-answering model is an LLM, it is beneficial to improve the accuracy of the output results of the trained question-answering model.

[0039] When training the question-answering model, the knowledge and skills required by the SAT system of the nuclear power plant for different departments and different positions of the nuclear power plant are collected, or work tasks and goals that can reflect knowledge and skills are collected. Among them, the knowledge and skills here refer to the sum of knowledge and skills mastered by an individual in a specific field or activity, which may include programming skills and communication skills. After collecting the knowledge and skills required by different departments and different positions, corresponding positive samples and negative samples are generated according to the collected knowledge and skills, and then the LLM model to be trained is trained according to the positive samples and negative samples to obtain a trained question-answering model. The trained question-answering model can be used as the above-mentioned trained question-answering model, and the trained question-answering model is used to output corresponding answers according to the received questions.

[0040] Optionally, in order to improve the accuracy of the answers output by the question-answering model, after obtaining the trained question-answering model, the trained question-answering model can be optimized according to user feedback, and the optimized question-answering model can be used as the above-mentioned trained question-answering model. Specifically, the trained question-answering model can be optimized in the following manner: the trained question-answering model outputs the corresponding answer according to the question raised by the user, and provides a feedback window for receiving user feedback input by the user, the user feedback includes answer evaluation, suggested answers, etc., and the parameters of the trained question-answering model are adjusted or the original positive samples and negative samples are adjusted according to the user feedback to obtain the optimized question-answering model. Optionally, when the user feedback includes a suggested answer, the answer output by the trained question-answering model can be compared with the answer input by the user to evaluate the relevance and completeness of the two answers, and the optimized answer is used as the answer corresponding to the question raised by the user to obtain a revised question-answer pair. The corrected question-answer pair can be used as a new positive sample to optimize the trained question-answer model. The optimization process may require adjusting the parameters or algorithm structure of the trained question-answer model. After optimizing the trained question-answer model, the optimized model obtained can be used as the above-mentioned trained question-answer model.

[0041] Specifically, when a nuclear power plant employee asks a question using a trained question-and-answer model, the trained question-and-answer model records the identity information of the nuclear power plant employee, that is, records the correspondence between the identity information and the question. For example, when the trained question-and-answer model is started, an identity information entry interface is displayed. After the nuclear power plant employee enters the identity information in the identity information entry interface, the identity information is recorded and the identity information entry interface is hidden, and then the function of the trained question-and-answer model is opened. For another example, if the identity information of a nuclear power plant employee is bound to an electronic device, the trained question-and-answer model uses the identity information bound to the electronic device to which it is applied as the nuclear power plant employee who uses the function of the trained question-and-answer model.

[0042] In an embodiment of the present application, when nuclear power plant employees ask questions using a trained question-and-answer model, the trained question-and-answer model records the correspondence between identity information and questions. Therefore, after the identity information of the employee to be evaluated is determined, the questions that the employee has asked in the trained question-and-answer model can be obtained based on the identity information of the employee to be evaluated.

[0043] Optionally, when the trained question-answering model records the correspondence between identity information and questions, it also records corresponding time information, so that the questions asked by the employee to be evaluated in the trained question-answering model in a certain time period can be obtained later as needed.

[0044] S13, based on the knowledge and skills involved in the above-mentioned systematic training method that the above-mentioned employee to be evaluated needs to master and the above-mentioned questions obtained, evaluate the degree to which the above-mentioned employee to be evaluated has mastered the knowledge and skills involved in the above-mentioned systematic training method.

[0045] Specifically, the correspondence between identity information and the knowledge and skills involved in the SAT system that the employee to be evaluated needs to master can be pre-set. For example, the knowledge and skills required to be mastered are set for different employees in a nuclear power plant. After the identity information of the employee to be evaluated is obtained, the knowledge and skills involved in the SAT system that the employee to be evaluated is required to master are determined based on the correspondence between the pre-set identity information and the knowledge and skills involved in the SAT system that the employee to be evaluated needs to master. The questions obtained can reflect the knowledge and skills that the employee to be evaluated does not master (otherwise there is no need to ask questions). Therefore, by comparing the knowledge and skills that the employee to be evaluated does not master and the knowledge and skills that he needs to master, the degree of mastery of the knowledge and skills involved in the SAT system by the employee to be evaluated can be evaluated.

[0046] In the embodiment of the present application, since the trained question-answering model is obtained by training according to the knowledge and skills involved in the systematic training method of the nuclear power plant, that is, the question-answering content of the trained question-answering model is related to the knowledge and skills involved in the systematic training method of the nuclear power plant, and the questions asked by the employees to be evaluated must be knowledge and skills that they are not clear about (or have not mastered), therefore, the questions that the employees to be evaluated have asked in the trained question-answering model can more accurately reflect the knowledge and skills that the employees to be evaluated have not mastered, and the knowledge and skills that have not been mastered belong to the knowledge and skills involved in the systematic training method. That is, in the embodiment of the present application, according to the knowledge and skills involved in the systematic training method that the employees to be evaluated need to master and the questions obtained, the mastery of the knowledge and skills involved in the systematic training method by the employees to be evaluated is evaluated, and the obtained evaluation results can better reflect the mastery of the knowledge and skills by the employees to be evaluated, thereby improving the accuracy of the obtained evaluation results.

[0047] In some embodiments, before the above S12, the method further includes:

[0048] A1. Structuring the data involved in the above-mentioned systematic training method to obtain structured data, wherein the structured data includes: job titles and knowledge and skills corresponding to the job titles.

[0049] Structuring data refers to the process of converting raw data into structured data. The structured data obtained by structuring data can be stored in the form of a table, and the structured data can improve the accessibility, queryability and analyzability of the data.

[0050] The job title here refers to the name corresponding to the job in the nuclear power plant, for example, the job title may be document technician, document assistant engineer, document supervisor engineer, etc. Different job titles usually correspond to different tasks, and completing these tasks requires corresponding knowledge and skills, that is, different job titles have corresponding knowledge and skills.

[0051] Specifically, since the SAT system of a nuclear power plant is used to test the knowledge and skills of the employees of the nuclear power plant, the data in the SAT system must involve different job titles in the nuclear power plant and the knowledge and skills corresponding to the job titles. Therefore, after analyzing the data involved in the SAT system, the job titles and corresponding knowledge and skills in the SAT system can be found, and the found job titles and knowledge and skills can be stored accordingly, thereby realizing the structuring of the data involved in the SAT system.

[0052] A2. Construct question-answer pairs based on the above structured data.

[0053] Among them, a question-answer pair includes a question and an answer.

[0054] Specifically, for each job title in the structured data, one or more question-answer pairs can be constructed based on the knowledge and skills in the job title. When constructing the question-answer pairs, the questions and answers in the question-answer pairs can be obtained from the structured data, or the questions and answers in the question-answer pairs are generated according to the GPT model. The GPT model, full name Generative Pre-trained Transformer, is a deep learning language model developed by OpenAI.

[0055] Of course, the question-answer pairs can also be constructed in other ways, which are not limited here.

[0056] A3. Train the question-answering model to be trained according to the constructed question-answering pairs to obtain the trained question-answering model.

[0057] Specifically, the question-answer pairs in which the answer matches the question are taken as positive samples, and the question-answer pairs in which the answer does not match the question are taken as negative samples. The question-answer model to be trained is then trained based on the positive and negative samples until the conditions for stopping training are met, thereby obtaining a trained question-answer model.

[0058] In the embodiment of the present application, the data involved in the SAT system is structured, and then question-answer pairs are constructed based on the obtained structured data. Since structured data is conducive to improving the accessibility and analyzability of data, constructing question-answer pairs based on structured data is conducive to improving the efficiency and accuracy of the construction, thereby helping to improve the training efficiency and accuracy of the question-answering model.

[0059] In some embodiments, after the question-answering model trained based on positive and negative samples is trained, the trained question-answering model can be fine-tuned (Fine-Tuning), and the fine-tuned question-answering model is used as the trained question-answering model. Fine-tuning is a model training technology, which is a process of further training a pre-trained large model (i.e., a question-answering model trained based on positive and negative samples) using a dataset in a specific field, aiming to optimize the performance of the pre-trained large model on specific tasks, so that the pre-trained large model can better adapt to and complete tasks in specific fields.

[0060] In the embodiment of the present application, a fine-tuning data set can be generated for the standards, regulations and systems in the nuclear power plant. After the question-answering model to be trained is trained according to the constructed question-answering pair, the trained question-answering model is fine-tuned according to the fine-tuning data set, and the fine-tuned question-answering model is used as the above-mentioned trained question-answering model. Since the trained question-answering model is fine-tuned according to the fine-tuning data set, and the fine-tuning data set is generated according to the standards, regulations and systems in the nuclear power plant, the fine-tuned question-answering model (i.e., the trained question-answering model) is more suitable for questions and answers related to the content of the nuclear power plant.

[0061] In some embodiments, the above A1 structures the data involved in the above systematic training method to obtain structured data, including:

[0062] A11. Determine the job titles in the data involved in the above systematic training method.

[0063] Specifically, the job titles in the nuclear power plant are compared with the data involved in the SAT system to find job titles matching the job titles in the nuclear power plant in the data involved in the SAT system.

[0064] Optionally, if the same job title exists in different departments, when determining the job title, it is also necessary to determine the department to which the job title corresponds, so as to improve the accuracy of the subsequently determined teaching documents and / or training documents.

[0065] A12. Determine the corresponding teaching documents and / or training documents based on the above job titles.

[0066] Specifically, it is detected whether there is data matching the job title in the teaching document and / or training document. If so, the teaching document and / or training document is the teaching document and / or training document corresponding to the job title. Alternatively, if the correspondence between different job titles and teaching documents (and / or training documents) is preset, the teaching document and / or training document corresponding to the job title can be determined based on the correspondence.

[0067] A13. Construct corresponding job training test document according to the above teaching document and / or training document, wherein the above job title and the above job training test document belong to the above structured data.

[0068] Among them, teaching documents and / or training documents and job training test documents can all reflect the knowledge and skills that employees need to master, so teaching documents, training documents and job training test documents are all equivalent to the above-mentioned knowledge and skills.

[0069] In the embodiment of the present application, since the job training test document is extracted from the teaching documents and / or training documents corresponding to the job title, that is, the content of the job training test document is the knowledge and skills that employees need to master, therefore, generating structured data based on the job title and the job training test document is conducive to improving the accuracy of the obtained structured data.

[0070] In some embodiments, the above A2, constructing a question-answer pair according to the above structured data, includes:

[0071] A21. Extract key information from the above structured data and generate questions based on the key information.

[0072] Among them, the key information here includes entities in structured data (such as job training test documents), such as names of people, places, and institutions. The key information can also include keywords that reflect the theme and key content of the structured data. In addition, the key information can also include the main discussion points in the structured data.

[0073] After extracting the key information, questions can be generated according to the following methods:

[0074] Template method: Use predefined question templates to fill the extracted keywords or entities into the predefined question templates to generate questions.

[0075] Natural Language Generation (NLG): Use the natural language generation capabilities of large models to generate questions directly based on the document content in structured data.

[0076] Human review and modification: Automatically generated questions (such as those generated through NLG) may require human review and modification to ensure the quality and relevance of the questions.

[0077] Optionally, to facilitate the extraction of key information, the structured data may be preprocessed before extraction. The preprocessing steps generally include: text cleaning: removing noise data from documents in the structured data (such as job training test documents), such as removing advertisements, copyright statements, irrelevant comments, etc.; format unification: converting documents from different sources in the structured data (such as job training test documents) into a unified format; word segmentation and grammatical parsing: splitting the documents in the structured data into independent vocabulary units, and determining the grammatical roles and relationships of these words in the sentence.

[0078] A22. Generate corresponding answers based on the above generated questions.

[0079] After generating the questions, you need to generate the corresponding answers for each question. The answer generation methods may include:

[0080] Retrieval-Augmented Generation (RAG): Combining the two processes of retrieval and generation, first retrieve document fragments related to the question from the documents in the structured data, and then generate answers based on these fragments. At this time, the above A22 includes: retrieving document fragments related to the generated question in the above structured data; generating corresponding answers based on the retrieved document fragments. Since the answer is generated based on the retrieved document fragments, the content involved in the generated answer is within the scope of the content involved in the document fragment, which reduces the probability that the generated answer is an inaccurate answer.

[0081] In addition to generating answers to questions through RAG, you can also generate answers directly. When directly generating answers to questions, you can use the powerful generation capabilities of the large model to generate answers directly based on the questions and document content in the structured data.

[0082] A23. Construct a question-answer pair based on the generated question and the generated answer, wherein one question-answer pair includes one generated question and one generated answer.

[0083] Specifically, the question and the answer corresponding to the question are stored in correspondence to obtain a corresponding question-answer pair.

[0084] In the embodiment of the present application, key information is extracted from structured data, and questions are generated based on the key information. Since the key information usually reflects the theme and key content of the structured data, when questions are generated based on the key information, it is beneficial to improve the accuracy of the generated questions, thereby facilitating the accuracy of the answers generated based on the questions and the accuracy of the question-answer pairs.

[0085] In some embodiments, the above S13, based on the knowledge and skills involved in the above systematic training method that the above employee to be evaluated needs to master and the above questions obtained, evaluates the mastery of the knowledge and skills involved in the above systematic training method by the above employee to be evaluated, including:

[0086] B1. Determine the knowledge and skills corresponding to the above questions.

[0087] Specifically, the obtained question is compared with the questions in the question-answer pair used to train the question-answer model. If a question matching the obtained question is found in the question-answer pair, the knowledge and skills corresponding to the question-answer pair where the matching question is found are used as the knowledge and skills corresponding to the obtained question.

[0088] It should be pointed out that since the question-answer pair is constructed from structured data including knowledge and skills, after determining the question-answer pair, the knowledge and skills corresponding to the question-answer pair can be determined.

[0089] B2. Determine the job title of the employee to be evaluated based on the above identity information.

[0090] Specifically, a mapping relationship between the identity information of the nuclear power plant employees and their job titles (or departments and job titles) is pre-established, so that after the identity information of the employee to be evaluated is obtained, the job title of the employee to be evaluated can be determined in the pre-established mapping relationship based on the identity information.

[0091] B3. Determine the knowledge and skills involved in the above-mentioned systematic training method that the above-mentioned employees to be evaluated need to master based on the job titles of the above-mentioned employees to be evaluated.

[0092] Specifically, when the job title of the employee to be evaluated is determined, it is equivalent to determining the task (or goal) of the employee to be evaluated, and the completion of the task requires the employee to be evaluated to have the corresponding knowledge and skills. Therefore, the knowledge and skills that the employee to be evaluated needs to master can be determined based on the job title (or department and job title) of the employee to be evaluated. For example, assuming that the employee's job title is "document technician", he needs to complete the task of formulating and implementing electronic resource protection strategies, and the knowledge and skills required to complete this task may include proficiency in editing word documents.

[0093] B4. Based on the knowledge and skills corresponding to the above questions and the knowledge and skills involved in the above systematic training method that the above employees to be evaluated need to master, evaluate the degree to which the above employees to be evaluated have mastered the knowledge and skills involved in the above systematic training method.

[0094] Specifically, the difference between the knowledge and skills corresponding to the acquired questions and the knowledge and skills that the employee to be evaluated needs to master is determined, and the degree of mastery of the knowledge and skills involved in the SAT system by the employee to be evaluated is evaluated based on the difference result. For example, assuming that the difference result indicates that the proportion of the knowledge and skills corresponding to the acquired questions and the knowledge and skills that the employee to be evaluated needs to master is 10%, then the degree of mastery of the knowledge and skills involved in the SAT system by the employee to be evaluated is 1-10%=90%.

[0095] In the embodiment of the present application, it is considered that the job title of the employee to be evaluated may change, but the correspondence between the job title and the knowledge and skills usually does not change, and the amount of data contained in the knowledge and skills is greater than the amount of data contained in the job title. Therefore, setting a mapping relationship between the identity information of the employee to be evaluated and the job title, and setting a mapping relationship between the job title and the knowledge and skills is more conducive to data management. This is because, if the identity information of the employee to be evaluated is directly set to have a mapping relationship with the knowledge and skills, then after the job title of the employee to be evaluated changes, the knowledge and skills corresponding to the identity information need to be changed, but when setting the mapping relationship between the identity information of the employee to be evaluated and the job title, only the job title corresponding to the identity information needs to be changed, and the amount of data contained in the knowledge and skills is greater than the amount of data contained in the job title. Therefore, the modification cost of the latter setting is lower, that is, it is more conducive to data management.

[0096] In some embodiments, after determining the knowledge and skills corresponding to the above-mentioned question in B1, the method further includes:

[0097] Count the number of questions corresponding to the same type of knowledge and skills to get the number of inquiries.

[0098] Among them, each knowledge skill is a type of knowledge skill.

[0099] Specifically, after obtaining the historical questions raised by the employee to be evaluated, the number of questions corresponding to each type of knowledge and skills is accumulated according to the knowledge and skills corresponding to the historical questions, that is, the number of inquiries made by the employee to be evaluated for each type of knowledge and skills is counted.

[0100] Correspondingly, the above B4, based on the acquired knowledge and skills corresponding to the above questions and the knowledge and skills involved in the above systematic training method that the above employee to be evaluated needs to master, evaluates the mastery of the knowledge and skills involved in the above systematic training method by the above employee to be evaluated, including:

[0101] Based on the number of inquiries, the knowledge and skills corresponding to the questions, and the knowledge and skills involved in the systematic training method that the employees to be evaluated need to master, the degree to which the employees to be evaluated have mastered the knowledge and skills involved in the systematic training method is evaluated.

[0102] Specifically, corresponding weights can be assigned to corresponding knowledge and skills according to the number of inquiries. The number of inquiries and the weight are positively correlated, that is, the more inquiries there are, the greater the weight of the corresponding knowledge and skills is, and accordingly, the lower the mastery of the knowledge and skills of the employee to be evaluated is.

[0103] In the embodiment of the present application, it is taken into account that employees may ask questions about the same type of knowledge and skills at different time points, and repeated questions indicate that after viewing the answer output by the trained question-answering model, the employee still cannot clearly understand the knowledge and skills corresponding to the answer. Therefore, when evaluating the degree of mastery of knowledge and skills, the number of inquiries is also taken into account, which is beneficial to improving the accuracy of the evaluation results.

[0104] In some embodiments, in the above B4, before evaluating the mastery of the knowledge and skills involved in the above systematic training method by the above employee to be evaluated based on the acquired knowledge and skills corresponding to the above question and the knowledge and skills involved in the above systematic training method that the above employee to be evaluated needs to master, the following is further included:

[0105] Obtain the test scores of the above-mentioned employees to be evaluated in the above-mentioned systematic training method.

[0106] Correspondingly, based on the knowledge and skills corresponding to the above questions and the knowledge and skills involved in the above systematic training method that the above employee to be evaluated needs to master, the degree of mastery of the knowledge and skills involved in the above systematic training method by the above employee to be evaluated is evaluated, including:

[0107] Based on the above test scores, the knowledge and skills corresponding to the above questions, and the knowledge and skills involved in the above systematic training method that the above-mentioned employees to be evaluated need to master, the degree to which the above-mentioned employees to be evaluated have mastered the knowledge and skills involved in the above-mentioned systematic training method is evaluated.

[0108] The test scores here are usually the test scores of the employee to be evaluated in the most recent SAT test.

[0109] Specifically, an evaluation value can be obtained based on the difference between the knowledge and skills corresponding to the above questions and the knowledge and skills involved in the SAT system that the employees to be evaluated need to master, and then the evaluation value and the test scores can be used together to evaluate the employees to be evaluated on the knowledge and skills involved in the SAT system. For example, the evaluation value and the test scores are concatenated to obtain the corresponding mastery level, or corresponding weights are assigned to the evaluation value and the test scores, and then the corresponding mastery level is calculated based on the assigned weights. Of course, other methods can also be used to calculate the mastery level of the knowledge and skills involved in the SAT system of the person to be evaluated, which will not be repeated here.

[0110] In the embodiment of the present application, the degree of mastery of the knowledge and skills involved in the SAT system by the employee to be evaluated is evaluated in combination with the test scores, the knowledge and skills corresponding to the acquired questions, and the knowledge and skills involved in the SAT system that the employee to be evaluated needs to master. Since the acquired questions are questions asked by the employee to be evaluated in the trained question-answering model, the acquired questions can only accurately reflect the degree of mastery of the knowledge and skills corresponding to the questions by the employee to be evaluated, and cannot reflect the degree of mastery of the knowledge and skills corresponding to the questions that the employee to be evaluated did not ask. In addition, since the test scores are obtained by testing the employee to be evaluated through the SAT system, that is, the test content of the SAT system is not proposed by the employee to be evaluated, but is determined according to the SAT system, therefore, the test scores reflect a more comprehensive knowledge range, so that when the degree of mastery of the knowledge and skills of the employee to be evaluated is evaluated based on the test scores and the acquired questions, a more accurate evaluation result can be obtained.

[0111] Optionally, when the number of job titles to which the employee to be evaluated belongs is greater than 1, the test scores corresponding to each job title of the employee to be evaluated will be obtained respectively. When the subsequent evaluation of the mastery of knowledge and skills is carried out, it is carried out for different job titles. For example, based on the test scores of job title A, the knowledge and skills corresponding to the questions corresponding to job title A, and the knowledge and skills involved in the SAT system in job title A that the employee to be evaluated needs to master, the mastery of the knowledge and skills involved in job title A in the SAT system by the employee to be evaluated is evaluated. Since different job titles require different knowledge and skills, evaluation based on job titles improves the accuracy of the evaluation results.

[0112] In some embodiments, in the above S13, after evaluating the mastery of the knowledge and skills involved in the above systematic training method by the above employee to be evaluated according to the knowledge and skills involved in the above systematic training method that the above employee to be evaluated needs to master and the above questions obtained, the following further comprises:

[0113] C1. Determine the knowledge and skills that need to be strengthened for the employees to be evaluated based on their mastery of the knowledge and skills involved in the above-mentioned systematic training methods.

[0114] Specifically, the knowledge and skills that the employee to be evaluated has not mastered but that the SAT system requires the employee to master (such as the knowledge and skills that the employee to be evaluated corresponds to in the questions raised by the trained question-answering model) can be determined as the knowledge and skills that need to be strengthened. Alternatively, when it is determined that the mastery of the knowledge and skills of the employee to be evaluated is less than a preset value (such as less than 60%), considering that the employee to be evaluated may have knowledge and skills that he has not mastered but has not raised corresponding questions in the trained question-answering model, therefore, in order to improve the mastery of the knowledge and skills of the employee to be evaluated, all the knowledge and skills that the employee to be evaluated needs to master are regarded as the knowledge and skills that need to be strengthened.

[0115] C2. Push information corresponding to the above-mentioned knowledge and skills that need to be strengthened to the above-mentioned employees to be evaluated.

[0116] Specifically, the information corresponding to the knowledge and skills to be strengthened is pushed to the mobile phone, email or other application that can contact the employee to be evaluated in a regular or random manner. For example, the name of the knowledge and skills to be strengthened is pushed. In addition, multimedia information of the knowledge and skills to be strengthened, the time range for learning the knowledge and skills to be strengthened, etc. can also be pushed.

[0117] In the embodiment of the present application, since the information corresponding to the knowledge and skills that need to be strengthened is pushed to the employee to be evaluated, it is beneficial for the employee to be evaluated to timely obtain the relevant information of the knowledge and skills that need to be strengthened, thereby urging the employee to be evaluated to conduct corresponding intensive learning.

[0118] Optionally, after the employee to be evaluated has enhanced the learning of the knowledge and skills that need to be strengthened, the learning outcomes of the employee to be evaluated can be evaluated. If it is evaluated that the employee to be evaluated has mastered the knowledge and skills that need to be strengthened, the employee to be evaluated is marked as having no knowledge and skills that need to be strengthened. Furthermore, considering that memory includes long-term memory and short-term memory, the above mark can include time information, such as marking that the employee to be evaluated has no knowledge and skills that need to be strengthened within one year.

[0119] In some embodiments, after the above C1, determining the knowledge and skills that need to be strengthened by the employee to be evaluated according to the employee to be evaluated's mastery of the knowledge and skills involved in the above systematic training method, the method further includes:

[0120] D1. After detecting that the employee to be evaluated asks questions in the trained question-answering model, detect whether the questions asked are related to the knowledge and skills that need to be strengthened.

[0121] Specifically, after determining the knowledge and skills that need to be strengthened for the employee to be evaluated, if it is detected that the employee to be evaluated asks questions in the trained question-answering model, the questions asked by the employee are obtained to determine whether the knowledge and skills corresponding to the questions are related to the knowledge and skills that need to be strengthened. Among them, the similarity can be used to determine whether the two knowledge and skills are related. For example, the distances (such as cosine distance, Euclidean distance, etc.) between the knowledge and skills corresponding to the question and each knowledge and skill that needs to be strengthened are calculated, and the corresponding similarity is determined based on the calculated distance. When the similarity is greater than the preset similarity threshold, it is determined that the knowledge and skills corresponding to the question are related to the knowledge and skills that need to be strengthened. Otherwise, it is determined that the knowledge and skills corresponding to the question are not related to the knowledge and skills that need to be strengthened.

[0122] D2. When it is detected that the question asked is related to the above-mentioned knowledge and skills that need to be strengthened, the user is asked whether reinforcement learning of the above-mentioned knowledge and skills that need to be strengthened is required.

[0123] Specifically, a corresponding inquiry message may be sent to the mobile phone or email address of the employee to be evaluated or other application that can contact the employee to be evaluated. The inquiry message includes relevant information about the knowledge and skills to be strengthened, such as the name of the knowledge and skills to be strengthened. Optionally, the inquiry message may also include the time point of the last question raised but related to the question raised this time.

[0124] In the embodiment of the present application, since, when it is detected that the questions asked by the employee to be evaluated are related to the knowledge and skills that need to be strengthened, the user is asked whether it is necessary to conduct intensive learning of the above-mentioned knowledge and skills that need to be strengthened, the employee to be evaluated can promptly know that the knowledge and skills corresponding to the questions he is currently asking belong to the knowledge and skills that need to be strengthened, which is conducive to urging the employee to be evaluated to conduct corresponding intensive learning.

[0125] In some embodiments, when it is detected that the question asked is not related to the knowledge and skills to be strengthened, the user is asked whether the knowledge and skills corresponding to the question asked this time need to be added to the knowledge and skills to be strengthened. This is conducive to timely adding the knowledge and skills to be strengthened, thereby urging the employee to be evaluated to conduct corresponding reinforcement learning in a timely manner.

[0126] In some embodiments, after the above C1, determining the knowledge and skills that need to be strengthened by the employee to be evaluated according to the employee to be evaluated's mastery of the knowledge and skills involved in the above systematic training method, the method further includes:

[0127] Draw a learning curve based on the knowledge and skills that need to be strengthened for the employees to be evaluated.

[0128] The learning curve here reflects the relevant information of the employee to be evaluated for strengthening the knowledge and skills that need to be strengthened, and the relevant information includes the content of learning, the time of learning, etc.

[0129] In the embodiment of the present application, when the employee to be evaluated has multiple knowledge and skills that need to be strengthened, each knowledge and skill corresponds to a learning curve. Furthermore, when the employee to be evaluated has multiple learning curves, each learning curve is superimposed and displayed on the same learning path map, so that the employee to be evaluated can understand that the learning time and path for his or her weak knowledge and skills in that category is longer by observing the learning path map, and then adopt a more scientific learning method, for example, enhancing memory, enhancing comprehension, enhancing cross-professional knowledge understanding, enhancing learning of external experience feedback, etc., and finally realizing a complete personal knowledge and skills visualization learning chain.

[0130] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0131] Corresponding to the knowledge and skills assessment method for nuclear power plant employees described in the above embodiment, Figure 2 A structural block diagram of a knowledge and skills assessment device for nuclear power plant employees provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0132] Reference Figure 2 , the knowledge and skills assessment device 2 for nuclear power plant employees comprises:

[0133] The identity information determination module 21 is used to determine the identity information of the employee to be evaluated.

[0134] The historical question acquisition module 22 is used to obtain the questions that the above-mentioned employee to be evaluated has asked in the trained question-answering model based on the above-mentioned identity information; wherein the above-mentioned trained question-answering model is obtained based on the knowledge and skills training involved in the systematic training method of the nuclear power plant.

[0135] The knowledge and skills mastery assessment module 23 is used to assess the mastery of the knowledge and skills involved in the above-mentioned systematic training method by the above-mentioned employee to be assessed based on the knowledge and skills involved in the above-mentioned systematic training method that the above-mentioned employee to be assessed needs to master and the above-mentioned questions obtained.

[0136] In the embodiment of the present application, since the trained question-answering model is obtained by training according to the knowledge and skills involved in the systematic training method of the nuclear power plant, that is, the question-answering content of the trained question-answering model is related to the knowledge and skills involved in the systematic training method of the nuclear power plant, and the questions asked by the employees to be evaluated must be knowledge and skills that they are not clear about (or have not mastered), therefore, the questions that the employees to be evaluated have asked in the trained question-answering model can more accurately reflect the knowledge and skills that the employees to be evaluated have not mastered, and the knowledge and skills that have not been mastered belong to the knowledge and skills involved in the systematic training method. That is, in the embodiment of the present application, according to the knowledge and skills involved in the systematic training method that the employees to be evaluated need to master and the questions obtained, the mastery of the knowledge and skills involved in the systematic training method by the employees to be evaluated is evaluated, and the obtained evaluation results can better reflect the mastery of the knowledge and skills by the employees to be evaluated, thereby improving the accuracy of the obtained evaluation results.

[0137] In some embodiments, the knowledge and skills assessment device 2 for nuclear power plant employees further includes:

[0138] The data structuring module is used to structure the data involved in the above-mentioned systematic training method before obtaining the questions asked by the above-mentioned employee to be evaluated in the trained question-answering model based on the above-mentioned identity information to obtain structured data. The above-mentioned structured data includes: job title and knowledge and skills corresponding to the job title.

[0139] The question-answer pair construction module is used to construct question-answer pairs according to the above structured data.

[0140] The question-answering model training module is used to train the question-answering model to be trained according to the constructed question-answering pairs to obtain the trained question-answering model.

[0141] In some embodiments, the above data structuring module is specifically used for:

[0142] Determine the job titles in the data involved in the above systematic training method;

[0143] Determine the corresponding teaching documents and / or training documents based on the above job titles;

[0144] A corresponding job training test document is constructed according to the above-mentioned teaching document and / or training document, wherein the above-mentioned job title and the above-mentioned job training test document belong to the above-mentioned structured data.

[0145] In some embodiments, the question-answer pair building module is specifically used to:

[0146] Extract key information from the structured data and generate questions based on the key information;

[0147] Generate corresponding answers based on the above generated questions;

[0148] A question-answer pair is constructed according to the generated question and the generated answer, wherein one question-answer pair includes one generated question and one generated answer.

[0149] In some embodiments, the above-mentioned generating corresponding answers according to the above-mentioned questions includes:

[0150] Retrieving document fragments related to the generated questions from the structured data;

[0151] Generate corresponding answers based on the retrieved document fragments.

[0152] In some embodiments, the knowledge and skills mastery assessment module 23 includes:

[0153] A knowledge and skill determination unit corresponding to a question, used to determine the knowledge and skills corresponding to the acquired question;

[0154] A job title determination unit, used to determine the job title of the employee to be evaluated according to the identity information;

[0155] The unit for determining knowledge and skills to be mastered is used to determine the knowledge and skills involved in the above-mentioned systematic training method that the above-mentioned employee to be evaluated needs to master according to the job title of the above-mentioned employee to be evaluated;

[0156] The mastery degree assessment unit is used to assess the mastery degree of the knowledge and skills involved in the above-mentioned systematic training method by the above-mentioned employee to be assessed based on the acquired knowledge and skills corresponding to the above-mentioned questions and the knowledge and skills involved in the above-mentioned systematic training method that the above-mentioned employee to be assessed needs to master.

[0157] In some embodiments, the knowledge and skills assessment device 2 for nuclear power plant employees further includes:

[0158] A query frequency statistics module is used to count the number of questions corresponding to the same type of knowledge and skills after the knowledge and skills corresponding to the above questions are determined and obtained, so as to obtain the query frequency;

[0159] Correspondingly, the above-mentioned mastery level assessment unit is specifically used for:

[0160] Based on the number of inquiries, the knowledge and skills corresponding to the questions, and the knowledge and skills involved in the systematic training method that the employees to be evaluated need to master, the degree to which the employees to be evaluated have mastered the knowledge and skills involved in the systematic training method is evaluated.

[0161] In some embodiments, the knowledge and skills assessment device 2 for nuclear power plant employees further includes:

[0162] A test score acquisition module is used to obtain the test score of the employee to be evaluated in the systematic training method before evaluating the mastery of the knowledge and skills involved in the systematic training method by the employee to be evaluated based on the acquired knowledge and skills corresponding to the above-mentioned questions and the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master;

[0163] Correspondingly, the above-mentioned mastery level assessment unit is specifically used for:

[0164] Based on the above test scores, the knowledge and skills corresponding to the above questions, and the knowledge and skills involved in the above systematic training method that the above-mentioned employees to be evaluated need to master, the degree to which the above-mentioned employees to be evaluated have mastered the knowledge and skills involved in the above-mentioned systematic training method is evaluated.

[0165] In some embodiments, the knowledge and skills assessment device 2 for nuclear power plant employees further includes:

[0166] The module for determining knowledge and skills that need to be strengthened is used to determine the knowledge and skills that need to be strengthened of the employee to be evaluated based on the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master and the above-mentioned problems acquired, after evaluating the employee to be evaluated's mastery of the knowledge and skills involved in the systematic training method.

[0167] The module for pushing knowledge and skills that need to be strengthened is used to push information corresponding to the knowledge and skills that need to be strengthened to the employees to be evaluated.

[0168] In some embodiments, the knowledge and skills assessment device 2 for nuclear power plant employees further includes:

[0169] The module for judging whether the question is asked repeatedly is used to determine the knowledge and skills that need to be strengthened of the employee to be evaluated based on the employee to be evaluated's mastery of the knowledge and skills involved in the systematic training method, and to detect whether the question asked is related to the knowledge and skills that need to be strengthened after detecting that the employee to be evaluated has asked a question in the trained question-answering model.

[0170] The reinforcement learning inquiry module is used to inquire the user whether reinforcement learning of the knowledge and skills to be strengthened is required when it is detected that the question asked is related to the knowledge and skills to be strengthened.

[0171] In some embodiments, the knowledge and skills assessment device 2 for nuclear power plant employees further includes:

[0172] The learning curve drawing module is used to draw a learning curve according to the knowledge and skills that need to be strengthened of the employee to be evaluated after determining the knowledge and skills that need to be strengthened of the employee to be evaluated according to the employee's mastery of the knowledge and skills involved in the systematic training method.

[0173] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0174] Figure 3 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. Figure 3 As shown, the electronic device 3 of this embodiment includes: at least one processor 30 ( Figure 3 Only one processor is shown in the figure), a memory 31, and a computer program 32 stored in the memory 31 and executable on the at least one processor 30, wherein the processor 30 implements the steps in any of the above-mentioned method embodiments when executing the computer program 32.

[0175] The electronic device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art will appreciate that Figure 3 It is only an example of the electronic device 3 and does not constitute a limitation on the electronic device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, etc.

[0176] The processor 30 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0177] In some embodiments, the memory 31 may be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. In other embodiments, the memory 31 may also be an external storage device of the electronic device 3, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 3. Further, the memory 31 may also include both an internal storage unit of the electronic device 3 and an external storage device. The memory 31 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 31 may also be used to temporarily store data that has been output or is to be output.

[0178] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0179] An embodiment of the present application also provides a network device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps in any of the above-mentioned method embodiments when executing the computer program.

[0180] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0181] An embodiment of the present application provides a computer program product. When the computer program product runs on an electronic device, the electronic device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0182] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera / electronic device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0183] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0184] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0185] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units 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, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0186] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0187] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for evaluating the knowledge and skills of nuclear power plant employees, characterized in that: include: Determine the identity of the employee to be evaluated; Obtaining, based on the identity information, questions that the employee to be evaluated has asked in a trained question-and-answer model; wherein the trained question-and-answer model is obtained based on knowledge and skills training involved in a systematic training method of a nuclear power plant; Based on the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master and the questions obtained, the degree of mastery of the knowledge and skills involved in the systematic training method by the employee to be evaluated is evaluated.

2. The knowledge and skills assessment method for nuclear power plant employees according to claim 1, characterized in that: Before obtaining the questions that the employee to be evaluated has asked in the trained question-answering model according to the identity information, the method further includes: Structuring the data involved in the systematic training method to obtain structured data, wherein the structured data includes: job titles and knowledge and skills corresponding to the job titles; Constructing a question-answer pair according to the structured data; The question-answer model to be trained is trained according to the constructed question-answer pair to obtain the trained question-answer model.

3. The knowledge and skills assessment method for nuclear power plant employees according to claim 2, characterized in that: The data involved in the systematic training method is structured to obtain structured data, including: Determine the job titles in the data involved in the systematic training method; Determine the corresponding teaching documents and / or training documents according to the job title; A corresponding job training test document is constructed according to the teaching document and / or training document, wherein the job title and the job training test document belong to the structured data.

4. The method for evaluating the knowledge and skills of nuclear power plant employees according to claim 2, characterized in that: The step of constructing a question-answer pair according to the structured data includes: Extracting key information from the structured data, and generating questions based on the key information; Generate a corresponding answer according to the generated question; A question-answer pair is constructed according to the generated question and the generated answer, wherein one question-answer pair includes one generated question and one generated answer.

5. The method for evaluating the knowledge and skills of nuclear power plant employees according to claim 4, characterized in that: Generating a corresponding answer according to the generated question includes: Retrieving document fragments related to the generated question from the structured data; Generate a corresponding answer based on the retrieved document fragment.

6. The method for evaluating the knowledge and skills of nuclear power plant employees according to any one of claims 1 to 5, characterized in that: The step of evaluating the employee to be evaluated on the knowledge and skills involved in the systematic training method according to the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master and the questions obtained includes: Determine the acquired knowledge and skills corresponding to the problem; Determine the job title of the employee to be evaluated according to the identity information; Determining the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master based on the job title of the employee to be evaluated; Based on the acquired knowledge and skills corresponding to the problem and the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master, the degree to which the employee to be evaluated has mastered the knowledge and skills involved in the systematic training method is evaluated.

7. The method for evaluating the knowledge and skills of nuclear power plant employees according to claim 6, characterized in that: After determining the knowledge and skills corresponding to the problem, the method further includes: Count the number of questions corresponding to the same type of knowledge and skills to get the number of inquiries; The step of evaluating the mastery of the knowledge and skills involved in the systematic training method by the employee to be evaluated based on the acquired knowledge and skills corresponding to the problem and the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master includes: The degree to which the employee to be evaluated has mastered the knowledge and skills involved in the systematic training method is evaluated based on the number of inquiries, the knowledge and skills corresponding to the questions obtained, and the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master.

8. The method for evaluating the knowledge and skills of nuclear power plant employees according to claim 6, characterized in that: Before evaluating the mastery of the knowledge and skills involved in the systematic training method by the employee to be evaluated based on the acquired knowledge and skills corresponding to the problem and the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master, the method further includes: Obtaining the test scores of the employee to be evaluated in the systematic training method; The step of evaluating the mastery of the knowledge and skills involved in the systematic training method by the employee to be evaluated based on the acquired knowledge and skills corresponding to the problem and the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master includes: The degree to which the employee to be evaluated has mastered the knowledge and skills involved in the systematic training method is evaluated based on the test score, the acquired knowledge and skills corresponding to the question, and the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master.

9. The method for evaluating the knowledge and skills of nuclear power plant employees according to any one of claims 1 to 5, characterized in that: After evaluating the mastery of the knowledge and skills involved in the systematic training method by the employee to be evaluated based on the knowledge and skills involved in the systematic training method that the employee to be evaluated needs to master and the questions obtained, the method further includes: Determining the knowledge and skills that need to be strengthened by the employee to be evaluated based on the employee's mastery of the knowledge and skills involved in the systematic training method; Push information corresponding to the knowledge and skills that need to be strengthened to the employee to be evaluated.

10. The method for evaluating the knowledge and skills of nuclear power plant employees according to claim 9, characterized in that: After determining the knowledge and skills that need to be strengthened by the employee to be evaluated according to the employee's mastery of the knowledge and skills involved in the systematic training method, the method further includes: After detecting that the employee to be evaluated asks a question in the trained question-answering model, detecting whether the question asked is relevant to the knowledge and skills to be strengthened; When it is detected that the question asked is related to the knowledge and skills to be strengthened, the user is asked whether reinforcement learning of the knowledge and skills to be strengthened is required.

11. The method for evaluating the knowledge and skills of nuclear power plant employees according to claim 9, characterized in that: After determining the knowledge and skills that need to be strengthened by the employee to be evaluated according to the employee's mastery of the knowledge and skills involved in the systematic training method, the method further includes: Draw a learning curve based on the knowledge and skills that need to be strengthened by the employees to be evaluated.

12. A knowledge and skills assessment device for nuclear power plant employees, characterized in that: include: An identity information determination module, used to determine the identity information of the employee to be evaluated; A historical question acquisition module, used to acquire questions that the employee to be evaluated has asked in the trained question-answering model according to the identity information; wherein the trained question-answering model is obtained according to the knowledge and skills training involved in the systematic training method of the nuclear power plant; The knowledge and skills mastery assessment module is used to assess the mastery of the knowledge and skills involved in the systematic training method by the employee to be assessed based on the knowledge and skills involved in the systematic training method that the employee to be assessed needs to master and the questions obtained.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 11 is implemented.

14. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 11 is implemented.

15. A computer program product, characterized in that The invention comprises a computer program, which, when being executed, enables the method according to any one of claims 1 to 11 to be performed.

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